https://pysport.org/static/js/main.f1116a80.js

1/*! For license information please see main.f1116a80.js.LICENSE.txt */
2(()=>{var e={43:(e,t,n)=>{"use strict";e.exports=n(202)},113:e=>{"use strict";e.exports=JSON.parse('{"en":{"slug":"/pages/activity-report","type":"basic","name":"activity report","menu":"Activity Report","body":"# Activity Report **PySport**\\n\\n**Fiscal year:** January 2025 \u2013 December 2025\\n\\nPySport Foundation continued its mission to advance open-source sports analytics and to strengthen the community around sports-data science, engineering and applied analytics. Throughout 2025, the foundation focused on three pillars: supporting open-source tooling, connecting practitioners and researchers, and creating opportunities for people to enter and contribute to the sports analytics ecosystem.\\n\\n## Open-Source Development and Community Infrastructure\\nThroughout the year, PySport supported the development and adoption of open-source sports analytics tools. A major focus remained on improving the broader ecosystem around packages such as Kloppy and Ingestify. These initiatives help make sports data easier to ingest, standardise and analyse across different\\nproviders and use cases.\\n\\nPySport also used its network and sponsorship income to support concrete open-source development. This included funding work on provider integrations and package improvements, such as support for IMPECT data within Kloppy. By doing so, PySport helped reduce barriers for analysts, researchers and developers who rely on interoperable sports-data tooling.\\n\\nIn addition, the Building Bridges initiative continued to bring together maintainers and contributors of open-source football analytics projects. The initiative focused on improving alignment between packages, discussing interoperability and making it easier for different tools to work together.\\n\\n## Events, Outreach and Community Building\\n\\nPySport remained active in the international sports analytics community during 2025. Board members and contributors attended and contributed to events where PySport\u2019s open-source philosophy was shared with practitioners, researchers, clubs and technology providers. \\n\\nIn March, PySport organised and participated in the PySport \xd7 StatsPerform meetup in London. The event brought together sports analytics professionals and created a platform for open-source-oriented presentations and discussions. Around the same period, PySport also maintained contact with people attending the Field of Play conference in Manchester, further strengthening links with the UK sports-data community. \\n\\nDuring the year, PySport also continued to build connections with PyData communities. In December, PySport and PyData Eindhoven organised a joint event at the High Tech Campus in Eindhoven. The programme included a dedicated sports analytics focus and several PySport-related talks. One of the talks 

2introduced Ingestify as a metadata-first ingestion layer for complex data, helping communicate PySport\u2019s broader vision around robust and reusable data infrastructure.\\n\\n## Partnerships and Sponsorships\\n\\nIn 2025, PySport professionalised its sponsorship approach and onboarded new partners. IMPECT became PySport\u2019s first corporate sponsor. The sponsorship supported PySport\u2019s mission and included work related to integrating IMPECT data into the Kloppy ecosystem. \\n\\nPySport also developed a major partnership with SkillCorner. Together, SkillCorner and PySport launched the SkillCorner \xd7 PySport Analytics Cup: a hackathon-style competition designed to stimulate open-source sports analytics innovation. The setup, rules and communication around the competition were developed during 2025, with the grand final planned for early February 2026 at SkillCorner\u2019s headquarters in Paris.\\n\\nThe Analytics Cup was designed to give analysts, researchers and developers access to open sports data and to reward strong open-source contributions. The competition included multiple challenge tracks, finalist selection and grants or prizes for participants. This initiative represents one of PySport\u2019s most visible steps toward connecting open-source development, industry data providers and the wider analytics community.\\n\\n## Education and Talent Development\\n\\nPySport explored new ways to create opportunities for early-career analysts and students. A key initiative was the collaboration with AIMS Cameroon, aimed at giving students exposure to football analytics and open-source development. PySport helped guide an AIMS student and explored how this type of internship structure could create pathways into the football industry.\\n\\nAlthough the collaboration also revealed challenges around supervision, communication and scope, it provided useful experience for future educational partnerships. The initiative aligned closely with PySport\u2019s aim to make sports analytics more accessible to people outside the established industry networks.\\n\\n## Recognition and External Visibility\\n\\nPySport\u2019s growing role in the open-source sports analytics ecosystem was also reflected in external recognition. In 2025, PySport and Kloppy were mentioned in an academic publication by Sigrid Olthof and Jesse Davis on computational approaches to football tactics and data analytics. This recognition underlines the relevance of PySport\u2019s work beyond practitioner communities and into the academic sports analytics domain.\\n\\nPySport also continued to increase visibility through public communication, social media, event promotion and community posts. The foundation promoted open-source packages, shared community initiatives and used events to make the PySport mission more visible to clubs, researchers, students and industry partners.\\n\\n## Design and Organisational Development\\n\\nToward the end of the year, PySport started exploring improvements to its visual identity and design. This included initial discussions with Marc Koppen about refining the PySport logo and potentially improving how PySport presents itself across merchandise, events and public communication.\\n\\nThe foundation also continued to professionalise its internal operations, including sponsorship agreements, invoicing, ANBI-related administration, Google Workspace setup and financial handling of volunteer contributions.\\n\\n## Outlook\\nFor 2026, PySport will build on the foundations laid in 2025. The first major milestone will be the SkillCorner \xd7 PySport Analytics Cup final in Paris in February 2026. This event will showcase finalist projects and demonstrate how open data, open-source tooling and industry collaboration can create concrete opportunities for the sports analytics community.\\n\\nPySport will continue to support open-source package development, strengthen collaborations with data providers and sports organisations, and refine its educational initiatives. The foundation will also continue developing the Building Bridges initiative, with the aim of improving interoperability between open-source sports anal

2ytics tools and reducing duplicated effort across the community.\\n\\nThe long-term ambition remains unchanged: to connect people, lower the barriers to sports analytics, and strengthen the open-source infrastructure that supports innovation in sport.\\n\\n\\n**Fiscal year:** March 2024 \u2013 December 2024  \\n\\nPySport Foundation was established in March 2024 with the aim of promoting open-source sports analytics and supporting a growing community of sports-data scientists, students, coaches and sports organisations. Believing that knowledge-sharing, collaboration and accessibility are the keys to innovation in sport, we carried out a wide range of activities over the past year.\\n\\n## Incorporation Phase and Initial Activities\\n\\n* **March 2024**\\\\\\n  PySport was formally incorporated before a notary. Shortly afterwards we organised our first international event: a **PySport \xd7 StatsPerform meetup** at StatsPerform\u2019s headquarters in London, featuring three industry guest speakers.\\\\\\n  We also attended the **Opta Forum** to present our mission to professionals in the sports-data world.\\n\\n## Online Visibility and Community Building\\n\\n* **June 2024**\\\\\\n  Launch of the official **PySport website**, including informative pages and an overview of our activities. We also produced physical banners to support our presence at events.\\n* **July 2024**\\\\\\n  In partnership with **PyData Eindhoven** we organised a large-scale event at the **PSV Stadium** centred on sports data.\\n* **September 2024**\\\\\\n  Delivery of an educational session at a secondary school, inspiring pupils to write final-year projects on sport and data.\\n\\n## Partnerships and Growing Impact\\n\\n* **October 2024**\\\\\\n  Initial exploratory talks with **NOC*NSF** about potential collaboration.\\n* **November 2024**\\\\\\n  International cooperation expanded with a joint meetup between the **Sports Analytics Club (MIT, Boston)** and **PySport**.\\\\\\n  In the same month PySport was officially registered as a **Public Benefit Organisation (ANBI)**.\\n* **December 2024**\\\\\\n  Launch of a **donation campaign** to secure structural funding for our activities.\\n\\n## Outlook\\n\\nFor 2025 we have planned a variety of community events, educational projects and further collaboration with sports organisations\u2014such as the forthcoming **Opta Meetup**. We will continue to connect people, lower barriers to participation in sports-data initiatives and strengthen the open-source sports-analytics landscape.\\\\\\nIn the short term we aim to launch the **\u201cBuilding Bridges\u201d initiative**, designed to bring together developers of open-source packages within sports analytics and improve integration."}

2,"nl":{"slug":"/pages/activiteiten-verslag","type":"basic","name":"activiteiten verslag","menu":"Activiteiten Verslag","body":"# Activity Report **PySport**\\n\\n**Fiscal year:** January 2025 \u2013 December 2025\\n\\nPySport Foundation continued its mission to advance open-source sports analytics and to strengthen the community around sports-data science, engineering and applied analytics. Throughout 2025, the foundation focused on three pillars: supporting open-source tooling, connecting practitioners and researchers, and creating opportunities for people to enter and contribute to the sports analytics ecosystem.\\n\\n## Open-Source Development and Community Infrastructure\\nThroughout the year, PySport supported the development and adoption of open-source sports analytics tools. A major focus remained on improving the broader ecosystem around packages such as Kloppy and Ingestify. These initiatives help make sports data easier to ingest, standardise and analyse across different\\nproviders and use cases.\\n\\nPySport also used its network and sponsorship income to support concrete open-source development. This included funding work on provider integrations and package improvements, such as support for IMPECT data within Kloppy. By doing so, PySport helped reduce barriers for analysts, researchers and developers who rely on interoperable sports-data tooling.\\n\\nIn addition, the Building Bridges initiative continued to bring together maintainers and contributors of open-source football analytics projects. The initiative focused on improving alignment between packages, discussing interoperability and making it easier for different tools to work together.\\n\\n## Events, Outreach and Community Building\\n\\nPySport remained active in the international sports analytics community during 2025. Board members and contributors attended and contributed to events where PySport\u2019s open-source philosophy was shared with practitioners, researchers, clubs and technology providers. \\n\\nIn March, PySport organised and participated in the PySport \xd7 StatsPerform meetup in London. The event brought together sports analytics professionals and created a platform for open-source-oriented presentations and discussions. Around the same period, PySport also maintained contact with people attending the Field of Play conference in Manchester, further strengthening links with the UK sports-data community. \\n\\nDuring the year, PySport also continued to build connections with PyData communities. In December, PySport and PyData Eindhoven organised a joint event at the High Tech Campus in Eindhoven. The programme included a dedicated sports analytics focus and several PySport-related talks. One of the talks 

2introduced Ingestify as a metadata-first ingestion layer for complex data, helping communicate PySport\u2019s broader vision around robust and reusable data infrastructure.\\n\\n## Partnerships and Sponsorships\\n\\nIn 2025, PySport professionalised its sponsorship approach and onboarded new partners. IMPECT became PySport\u2019s first corporate sponsor. The sponsorship supported PySport\u2019s mission and included work related to integrating IMPECT data into the Kloppy ecosystem. \\n\\nPySport also developed a major partnership with SkillCorner. Together, SkillCorner and PySport launched the SkillCorner \xd7 PySport Analytics Cup: a hackathon-style competition designed to stimulate open-source sports analytics innovation. The setup, rules and communication around the competition were developed during 2025, with the grand final planned for early February 2026 at SkillCorner\u2019s headquarters in Paris.\\n\\nThe Analytics Cup was designed to give analysts, researchers and developers access to open sports data and to reward strong open-source contributions. The competition included multiple challenge tracks, finalist selection and grants or prizes for participants. This initiative represents one of PySport\u2019s most visible steps toward connecting open-source development, industry data providers and the wider analytics community.\\n\\n## Education and Talent Development\\n\\nPySport explored new ways to create opportunities for early-career analysts and students. A key initiative was the collaboration with AIMS Cameroon, aimed at giving students exposure to football analytics and open-source development. PySport helped guide an AIMS student and explored how this type of internship structure could create pathways into the football industry.\\n\\nAlthough the collaboration also revealed challenges around supervision, communication and scope, it provided useful experience for future educational partnerships. The initiative aligned closely with PySport\u2019s aim to make sports analytics more accessible to people outside the established industry networks.\\n\\n## Recognition and External Visibility\\n\\nPySport\u2019s growing role in the open-source sports analytics ecosystem was also reflected in external recognition. In 2025, PySport and Kloppy were mentioned in an academic publication by Sigrid Olthof and Jesse Davis on computational approaches to football tactics and data analytics. This recognition underlines the relevance of PySport\u2019s work beyond practitioner communities and into the academic sports analytics domain.\\n\\nPySport also continued to increase visibility through public communication, social media, event promotion and community posts. The foundation promoted open-source packages, shared community initiatives and used events to make the PySport mission more visible to clubs, researchers, students and industry partners.\\n\\n## Design and Organisational Development\\n\\nToward the end of the year, PySport started exploring improvements to its visual identity and design. This included initial discussions with Marc Koppen about refining the PySport logo and potentially improving how PySport presents itself across merchandise, events and public communication.\\n\\nThe foundation also continued to professionalise its internal operations, including sponsorship agreements, invoicing, ANBI-related administration, Google Workspace setup and financial handling of volunteer contributions.\\n\\n## Outlook\\nFor 2026, PySport will build on the foundations laid in 2025. The first major milestone will be the SkillCorner \xd7 PySport Analytics Cup final in Paris in February 2026. This event will showcase finalist projects and demonstrate how open data, open-source tooling and industry collaboration can create concrete opportunities for the sports analytics community.\\n\\nPySport will continue to support open-source package development, strengthen collaborations with data providers and sports organisations, and refine its educational initiatives. The foundation will also continue developing the Building Bridges initiative, with the aim of improving interoperability between open-source sports anal

2ytics tools and reducing duplicated effort across the community.\\n\\nThe long-term ambition remains unchanged: to connect people, lower the barriers to sports analytics, and strengthen the open-source infrastructure that supports innovation in sport.\\n\\n\\n**Fiscal year:** March 2024 \u2013 December 2024  \\n\\nPySport Foundation was established in March 2024 with the aim of promoting open-source sports analytics and supporting a growing community of sports-data scientists, students, coaches and sports organisations. Believing that knowledge-sharing, collaboration and accessibility are the keys to innovation in sport, we carried out a wide range of activities over the past year.\\n\\n## Incorporation Phase and Initial Activities\\n\\n* **March 2024**\\\\\\n  PySport was formally incorporated before a notary. Shortly afterwards we organised our first international event: a **PySport \xd7 StatsPerform meetup** at StatsPerform\u2019s headquarters in London, featuring three industry guest speakers.\\\\\\n  We also attended the **Opta Forum** to present our mission to professionals in the sports-data world.\\n\\n## Online Visibility and Community Building\\n\\n* **June 2024**\\\\\\n  Launch of the official **PySport website**, including informative pages and an overview of our activities. We also produced physical banners to support our presence at events.\\n* **July 2024**\\\\\\n  In partnership with **PyData Eindhoven** we organised a large-scale event at the **PSV Stadium** centred on sports data.\\n* **September 2024**\\\\\\n  Delivery of an educational session at a secondary school, inspiring pupils to write final-year projects on sport and data.\\n\\n## Partnerships and Growing Impact\\n\\n* **October 2024**\\\\\\n  Initial exploratory talks with **NOC*NSF** about potential collaboration.\\n* **November 2024**\\\\\\n  International cooperation expanded with a joint meetup between the **Sports Analytics Club (MIT, Boston)** and **PySport**.\\\\\\n  In the same month PySport was officially registered as a **Public Benefit Organisation (ANBI)**.\\n* **December 2024**\\\\\\n  Launch of a **donation campaign** to secure structural funding for our activities.\\n\\n## Outlook\\n\\nFor 2025 we have planned a variety of community events, educational projects and further collaboration with sports organisations\u2014such as the forthcoming **Opta Meetup**. We will continue to connect people, lower barriers to participation in sports-data initiatives and strengthen the open-source sports-analytics landscape.\\\\\\nIn the short term we aim to launch the **\u201cBuilding Bridges\u201d initiative**, designed to bring together developers of open-source packages within sports analytics and improve integration."}}')},139:(e,t)=>{var n;!function(){"use strict";var r={}.hasOwnProperty;function o(){for(var e="",t=0;t<arguments.length;t++){var n=arguments[t];n&&(e=i(e,a(n)))}return e}function a(e){if("string"===typeof e||"number"===typeof e)return e;if("object"!==typeof e)return"";if(Array.isArray(e))return o.apply(null,e);if(e.toString!==Object.prototype.toString&&!e.toString.toString().includes("[native code]"))return e.toString();var t="";for(var n in e)r.call(e,n)&&e[n]&&(t=i(t,n));return t}function i(e,t){return t?e?e+" "+t:e+t:e}e.exports?(o.default=o,e.exports=o):void 0===(n=function(){return o}.apply(t,[]))||(e.exports=n)}()},146:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.camelCase=void 0;var n=/^--[a-zA-Z0-9_-]+$/,r=/-([a-z])/g,o=/^[^-]+$/,a=/^-(webkit|moz|ms|o|khtml)-/,i=/^-(ms)-/,s=function(e,t){return t.toUpperCase()},u=function(e,t){return"".concat(t,"-")};t.camelCase=function(e,t){return void 0===t&&(t={}),function(e){return!e||o.test(e)||n.test(e)}(e)?e:(e=e.toLowerCase(),(e=t.reactCompat?e.replace(i,u):e.replace(a,u)).replace(r,s))}},153:(e,t,n)=>{"use strict";var r=n(43),o=Symbol.for("react.element"),a=Symbol.for("react.fragment"),i=Object.prototype.hasOwnProperty,s=r.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner,u={key:!0,ref:!0,__self:!0,__source:!0};function l(e,t,n){var r,a={},l=null,c=null;for(r in void 0!==n&&(l=""+n),void 0!==t.key&&(l=""+t.key),void 0!==t.ref&&(c=t.ref),t)i.call(t,r)&&!u.hasOwnProperty(r)&&(a[r]=t[r]);if(e&&e.defaultProps)for(r in t=e.defaultProps)void 0===a[r]&&(a[r]=t[r]);return{$$typeof:o,type:e,key:l,ref:c,props:a,_owner:s.current}}t.Fragment=a,t.jsx=l,t.jsxs=l},173:(e,t,n)=>{e.exports=n(497)()},197:(e,t,n)=>{"use strict";

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\ud835\udc03\ud835\udc28\ud835\udc1c\ud835\udc2e\ud835\udc26\ud835\udc1e\ud835\udc27\ud835\udc2d\ud835\udc1a\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27: <https://lnkd.in/eErzpDut>\\n\\nAdditionally, together with 11 contributors we\'ve added:\\n- 3 new tracking data providers, namely [Hawk-Eye Innovations Ltd](https://www.linkedin.com/company/hawk-eye-innovations-ltd/) (2D), [Signality](https://www.linkedin.com/company/signality/) and [PFF FC](https://www.linkedin.com/company/pff-fc-/)\\n- Support for [SkillCorner](https://www.linkedin.com/company/skillcorner/) v3\\n- Custom coordinate system support\\n- Advanced metrics support (xG etc.)\\n- Many many bug fixes, refactoring and other updates.\\n\\nFor a full list please see the release notes attached below.\\n\\n\u2b50 \ud835\udc11\ud835\udc1e\ud835\udc25\ud835\udc1e\ud835\udc1a\ud835\udc2c\ud835\udc1e \ud835\udc0d\ud835\udc28\ud835\udc2d\ud835\udc1e\ud835\udc2c: <https://lnkd.in/eK-3pWhM>\\n\\nA special thanks to Pieter Robberechts for the countless hours of work put into the new documentation and maintaining the project in close collaboration with [](https://www.linkedin.com/in/ACoAAAE_4QUBDYbnggcTZRzVi5SKnPwph0QbTIk)[Koen Vossen](https://www.linkedin.com/in/koen-vossen-85902b7/). Many thanks to all our other contributors Dries Deprest, [](https://www.linkedin.com/in/ACoAABKQe1UBalAQ20mbqzx12AuDqWnJORESPZo)[Joris Bekkers](https://www.linkedin.com/in/joris-bekkers-33138288/) and [SportsDynamics](https://www.linkedin.com/company/sportsdynamics/). And finally a very warm welcome and many thanks to all our new contributors: [](https://www.linkedin.com/in/ACoAAAU2dkwBjdyLIeRDTVBmHwDVhAhNd8VVKfA)[Thiago Costa Porto](https://www.linkedin.com/in/thiagocostaporto/), [](https://www.linkedin.com/in/ACoAAApxQMEBTnbRo8VGWQgd4tEq4LlGqtQtl3Y)[Andrew Schechtman-Rook](https://www.linkedin.com/in/andrewschechtmanrook/), [](https://www.linkedin.com/in/ACoAAAyyUJcBJNV8YHc9o-9

2-17mZZhyeFpBZprU)[Douglas Cesar Pampu](https://www.linkedin.com/in/douglascpampu/), [](https://www.linkedin.com/in/ACoAAD6SwcMBlmA1cjWMcumgec4jeRMoEzd6T0g)[Lode Van Tente](https://www.linkedin.com/in/lode-van-tente-22b6b2253/), [](https://www.linkedin.com/in/ACoAADBlPoUBoi-XHPd88CxTlB0bomt678ain2Q)[Amod Sahasrabudhe](https://www.linkedin.com/in/amod-sahasrabudhe/) and r.motmans!","name":"New Kloppy documentation","date":"2025-06-18T16:26:00Z","image":"/images/optimized/1750071773470.jpg"},"nl":{"type":"post","body":"\\n\ud83e\ude75 \ud835\udc0a\ud835\udc25\ud835\udc28\ud835\udc29\ud835\udc29\ud835\udc32 \ud835\udc2f\ud835\udfd1.\ud835\udfcf\ud835\udfd5.\ud835\udfce + \ud835\udc0d\ud835\udc1e\ud835\udc30 \ud835\udc03\ud835\udc28\ud835\udc1c\ud835\udc2e\ud835\udc26\ud835\udc1e\ud835\udc27\ud835\udc2d\ud835\udc1a\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27!\\n\\nTwo weeks ago we released of a new version of Kloppy that includes fully reworked \ud835\udc1d\ud835\udc28\ud835\udc1c\ud835\udc2e\ud835\udc26\ud835\udc1e\ud835\udc27\ud835\udc2d\ud835\udc1a\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27 and support for \ud835\udfd1 \ud835\udc27\ud835\udc1e\ud835\udc30 \ud835\udc2d\ud835\udc2b\ud835\udc1a\ud835\udc1c\ud835\udc24\ud835\udc22\ud835\udc27\ud835\udc20 \ud835\udc29\ud835\udc2b\ud835\udc28\ud835\udc2f\ud835\udc22\ud835\udc1d\ud835\udc1e\ud835\udc2b\ud835\udc2c amongst dozens of other features and improvements!\\n\\n\u23f3 The documentation has been completely overhauled to include a new User guide, How-to guides, a full set of code References and all concepts that Kloppy has to offer!\\n\\n\u2b50 \ud835\udc03\ud835\udc28\ud835\udc1c\ud835\udc2e\ud835\udc26\ud835\udc1e\ud835\udc27\ud835\udc2d\ud835\udc1a\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27: <https://lnkd.in/eErzpDut>\\n\\nAdditionally, together with 11 contributors we\'ve added:\\n- 3 new tracking data providers, namely [Hawk-Eye Innovations Ltd](https://www.linkedin.com/company/hawk-eye-innovations-ltd/) (2D), [Signality](https://www.linkedin.com/company/signality/) and [PFF FC](https://www.linkedin.com/company/pff-fc-/)\\n- Support for [SkillCorner](https://www.linkedin.com/company/skillcorner/) v3\\n- Custom coordinate system support\\n- Advanced metrics support (xG etc.)\\n- Many many bug fixes, refactoring and other updates.\\n\\nFor a full list please see the release notes attached below.\\n\\n\u2b50 \ud835\udc11\ud835\udc1e\ud835\udc25\ud835\udc1e\ud835\udc1a\ud835\udc2c\ud835\udc1e \ud835\udc0d\ud835\udc28\ud835\udc2d\ud835\udc1e\ud835\udc2c: <https://lnkd.in/eK-3pWhM>\\n\\nA special thanks to Pieter Robberechts for the countless hours of work put into the new documentation and maintaining the project in close collaboration with [](https://www.linkedin.com/in/ACoAAAE_4QUBDYbnggcTZRzVi5SKnPwph0QbTIk)[Koen Vossen](https://www.linkedin.com/in/koen-vossen-85902b7/). Many thanks to all our other contributors Dries Deprest, [](https://www.linkedin.com/in/ACoAABKQe1UBalAQ20mbqzx12AuDqWnJORESPZo)[Joris Bekkers](https://www.linkedin.com/in/joris-bekkers-33138288/) and [SportsDynamics](https://www.linkedin.com/company/sportsdynamics/). And finally a very warm welcome and many thanks to all our new contributors: [](https://www.linkedin.com/in/ACoAAAU2dkwBjdyLIeRDTVBmHwDVhAhNd8VVKfA)[Thiago Costa Porto](https://www.linkedin.com/in/thiagocostaporto/), [](https://www.linkedin.com/in/ACoAAApxQMEBTnbRo8VGWQgd4tEq4LlGqtQtl3Y)[Andrew Schechtman-Rook](https://www.linkedin.com/in/andrewschechtmanrook/), [](https://www.linkedin.com/in/ACoAAAyyUJcBJNV8YHc9o-9-17mZZhyeFpBZprU)[Douglas Cesar Pampu](https://www.linkedin.com/in/douglascpampu/), [](https://www.linkedin.com/in/ACoAAD6SwcMBlmA1cjWMcumgec4jeRMoEzd6T0g)[Lode Van Tente](https://www.linkedin.com/in/lode-van-tente-22b6b2253/), [](https://www.linkedin.com/in/ACoAADBlPoUBoi-XHPd88CxTlB0bomt678ain2Q)[Amod Sahasrabudhe](https://www.linkedin.com/in/amod-sahasrabudhe/) and r.motmans!","date":"2025-06-18T16:26:00Z","image":"/images/optimized/1750071773470.jpg","name":"Nieuwe kloppy documentatie"}}')},261:e=>{"use strict";e.exports=JSON.parse('{"en":{"slug":"/pages/posts","type":"posts","name":"Blog","menu":"Blog","body":"## Blogposts"}

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2nCompanies and organizations can choose from several sponsorship options to support PySport\'s activities. This ranges from financial support to providing resources for specific events.\\n\\n### Grants and Funds\\n\\nWe actively seek grants and funds for non-profits that align with our mission to promote open-source sports data analysis.\\n\\n### Donations\\n\\nDonations from PySport community members and other stakeholders are welcomed to ensure the growth and continuity of our activities.\\n\\n## 3. Financial Accountability\\n\\n### Use of Income\\n\\nOrganizing events: Income is used to organize meetups, workshops, and conferences, including costs for venue rental, speakers, and materials.\\n\\n### Funding Open-Source Projects\\n\\nPySport provides financial support to existing and new open-source projects that contribute to the sports data analysis sector.\\n\\n### Diversity and Inclusion Grants\\n\\nA portion of the income is used to provide grants to projects that increase diversity in sports data analysis.\\n\\n### Holding Assets\\n\\nAny remaining funds are held in a savings account to supp

2ort future projects and activities. Investments are currently not considered.\\n\\n### Accountability and Reporting\\n\\nAt the end of each calendar year, PySport prepares a financial report detailing all income and expenses. This report is presented to the board and published on our website.\\n\\n## 4. Remuneration Policy\\n\\n### Board and Governing Body\\n\\nThe PySport board works on a voluntary basis and does not receive compensation for their work. However, expenses may be reimbursed if they are approved in advance and related to PySport activities.\\n\\n### Staff\\n\\nCurrently, PySport has no paid employees. In the future, external experts may be hired for specific projects, with market-based rates applied.\\n\\n## 5. Activity Report\\n\\n### Activities Undertaken:\\n\\n1. **Meetup Eindhoven (2023):**\\n\\n   \xa0Presentations by experts in sports data analysis for an audience of sports clubs and data experts.\\n2. **Meetup London (2024):**\\n\\n   \xa0Gathering of professionals in sports data analysis with presentations and networking opportunities.\\n3. **PyData Eindhoven (2024):**\\n\\n   \xa0Participation in a conference with PySport speakers covering topics such as cycling performance, data infrastructure in football, and tennis."},"nl":{"name":"beleidsplan","slug":"/pages/beleidsplan","menu":"Beleidsplan","type":"basic","body":"# Beleidsplan PySport\\n\\n*Laatste update: november 2024*\\n\\n## 1. Doelstelling en te verrichten werkzaamheden\\n\\n### Doelstelling\\n\\nPySport streeft ernaar om sportdata-analyse te democratiseren via een open-source aanpak. Ons doel is een platform te bieden voor onderzoekers, studenten, sportliefhebbers en professionals om best practices te delen, kennis uit te wisselen en de ontwikkeling van open-source tools te bevorderen. Zo willen we innovatie binnen de sportwereld stimuleren en data-analyse toegankelijk maken, met impact op de sport en ook sectoren zoals gezondheidszorg en technologie.\\n\\n\\

2n\\n### Werkzaamheden\\n\\nOm onze doelstelling te bereiken, voert PySport de volgende activiteiten uit:\\n\\n1. **Organiseren van meetups en conferenties:**\\n\\n   \xa0We organiseren regelmatig evenementen, waarbij experts en liefhebbers samenkomen om kennis te delen en nieuwe ontwikkelingen te presenteren.\\n2. **Ondersteunen van open-source projecten:**\\n\\n   \xa0PySport biedt technische en financi\xeble ondersteuning aan open-source projecten die bijdragen aan de sportdata-analyse.\\n3. **Kennisdeling en educatie:**\\n\\n   \xa0Wij bieden workshops en trainingssessies voor studenten en professionals, waarin we hen trainen in het gebruik en de ontwikkeling van open-source tools voor sportdata-analyse.\\n4. **Opzetten van samenwerkingen:**\\n\\n   \xa0PySport werkt samen met bedrijven, sportclubs en onderwijsinstellingen om onze kennis en tools breder in te zetten en verder te ontwikkelen.\\n\\n## 2. Wijze van verwerving van inkomsten\\n\\nPySport verkrijgt inkomsten uit verschillende bronnen:\\n\\n### Sponsoring\\n\\nBedrijven en organisaties kunnen verschillende sponsoropties kiezen om de activiteiten van PySport te ondersteunen. Dit varieert van financi\xeble ondersteuning tot het aanbieden van middelen voor specifieke evenementen.\\n\\n### Subsidies en fondsen\\n\\nWe zoeken actief naar subsidies en fondsen voor non-profits die aansluiten bij onze missie om open-source sportdata-analyse te bevorderen.\\n\\n### Donaties\\n\\nDonaties van leden van de PySport-gemeenschap en andere belanghebbenden worden verwelkomd om de groei en continu\xefteit van onze activiteiten te waarborgen.\\n\\n## 3. Financi\xeble verantwoording\\n\\n### Besteding van inkomsten\\n\\nOrganiseren van evenementen: Inkomsten worden gebruikt om meetups, workshops, en conferenties te organiseren, inclusief de kosten voor locatiehuur, sprekers en materialen.\\n\\n### Financiering van open-source projecten\\n\\nPySport biedt financi\xeble ondersteuning aan bestaande en nieuwe open-source projecten die bijdragen aan de sportdata-analysesector.\\n\\n### Diversiteit en inclusie grants\\n\\nEen deel van de inkomsten wordt gebruikt om beurzen te verstrekken aan projecten die de diversiteit in de sportdata-analyse vergroten.\\n\\n### Aanhouden van vermogen\\n\\nEventuele resterende gelden worden op een spaarrekening aangehouden om toekomstige projecten en activiteiten te ondersteunen. Beleggingen worden momenteel niet overwogen.\\n\\n### Verantwoording en rapportage\\n\\nAan het einde van elk kalenderjaar stelt PySport een financieel overzicht op, waarin alle inkomsten en uitgaven gedetailleerd worden weergegeven. Dit overzicht wordt aan het bestuur gepresenteerd en openbaar gemaakt op onze website.\\n\\n## 4. Beloningsbeleid\\n\\n### Statutaire bestuur en beleidsbepalend orgaan\\n\\nHet bestuur van PySport werkt op vrijwillige basis en ontvangt geen beloning voor hun werkzaamheden. Wel kunnen onkosten vergoed worden, mits deze vooraf zijn goedgekeurd en verband houden met de werkzaamheden voor PySport.\\n\\n### Personeel\\n\\nOp dit moment heeft PySport geen betaalde medewerkers. In de toekomst kunnen externe experts ingehuurd worden voor specifieke projecten, waarbij we marktconforme tarieven hanteren.\\n\\n## 5. Activiteitenverslag\\n\\n### Uitgevoerde activiteiten:\\n\\n1. **Meetup Eindhoven (2023):**\\n\\n   \xa0Presentaties van experts op het gebied van sportdata-analyse voor een publiek van sportclubs en data-experts.\\n2. **Meetup Londen (2024):**\\n\\n   \xa0Samenkomst van professionals uit de sportdata-analysewereld met presentaties en netwerkmogelijkheden.\\n3. **PyData Eindhoven (2024):**\\n\\n   \xa0Deelname aan een conferentie met sprekers van PySport over onderwerpen zoals wielrenprestaties, data-infrastructuur in het voetbal en tennis."}}')},730:(e,t,n)=>{"use strict";var r=n(43),o=n(853);function a(e){for(var t="https://reactjs.org/docs/error-decoder.html?invariant="+e,n=1;n<arguments.length;n++)t+="&args[]="+encodeURIComponent(arguments[n]);return"Minified React error #"+e+"; visit "+t+" for the full message or use the non-minified dev environment for full errors and additional helpful warnings."}var i=new Set,s={};function u(e,t){l(e,t),l(e+"Capture",t)}function l(e,t){for(s[e]=t,e=0;e<t.length;e++)i.add(t[e])}var c=!("undefined"===typeof window||"undefined"===typeof window.document||"undefined"===typeof window.document.createElement),d=Object.prototype.hasOwnProperty,p=/^[:A-Z_a-z\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u02FF\u0370-\u037D\u037F-\u1FFF\u200C-\u200D\u2070-\u218F\u2C00-\u2FEF\u3001-\uD7FF\uF900-\uFDCF\uFDF0-\uFFFD][:A-Z_a-z\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u02FF\u0370-\u037D\u037F-\u1FFF\u200C-\u200D\u2070-\u218F\u2C00-\u2FEF\u3001-\uD7FF\uF900-\uFDCF\uFDF0-\uFFFD\-.0-9\u00B7\u0300-\u036F\u203F-\u2040]*$/,f={},h={};function m(e,t,n,r,o,a,i){this.acceptsBooleans=2===t||3===t||4===t,this.attributeName=r,this.attributeNamespace=o,this.mustUseProperty=n,this.propertyName=e,this.type=t,this.sanitizeURL=a,this.removeEmptyString=i}var g={};"children dangerouslySetInnerHTML defaultValue defaultChecked innerHTML suppressContentEditableWarning suppressHydrationWarning style".split(" ").forEach(function(e){g[e]=new m(e,0,!1,e,null,!1,!1)}),[["acceptCharset","accept-charset"],["className","class"],["htmlFor","for"],["httpEquiv","http-equiv"]].forEac

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2,786:e=>{"use strict";e.exports=JSON.parse('{"en":{"type":"post","name":"IMPECT becomes PySport\'s first sponsor","date":"2025-07-09T10:00:00Z","body":"In a landscape shaped by proprietary tools and fragmented standards, PySport and IMPECT are partnering to support a more open and interoperable future for football analytics. This partnership is grounded in shared values - transparency, accessibility, and the belief that collaboration benefits everyone in our community.\\n\\n## **About IMPECT**\\n\\nIn 2014 IMPECT was founded by former Bundesliga players Stefan Reinartz and Jens Hegeler, with the goal of developing football data that you can use to make valuable assessments of players and teams.\\n\\nTheir Packing Model focuses on opponents (and teammates) who are either bypassed by a progressive action, added back into play by a regressive action, removed from defending through a ball win, or added to defending through a ball loss, and their API provides structured access to rich event and context data. impect.com\\n\\n## **About PySport**\\n\\nPySport is a nonprofit open-source community that supports analysts, developers, coaches, and researchers across all sports. The organization\'s tools, including Kloppy, make sports data easier to work with - streamlining everything from ingestion and transformation to analysis and sharing.\xa0\\n\\nPySport aims to unite the sports analytics community around open-source invasion!\\n\\n## **Collaboration**\\n\\nIMPECT\'s sponsorship enables native Kloppy support for their event data format, currently in development. As PySport\'s first corporate sponsor, IMPECT is helping fund essential open-source infrastructure for sports analytics. The upcoming Kloppy release will be designated the \\"IMPECT-Sponsored Release\\" to recognize this collaboration.\\n\\nThis partnership model \u2014 where companies contribute to open-source development around their own data - is standard practice in cloud and data infrastructure, yet remains rare in sports analytics. Together, PySport and IMPECT are pioneering a more collaborative approach to football data tooling.\\n\\n## **In Practice**\\n\\nThis integration reduces friction for analysts, researchers, and developers by eliminating technical barriers between data sources and analytical tools. Whether you\'re working at a professional club, conducting academic research, or building new applications, streamlined access to IMPECT\'s data through Kloppy means less time wrestling with data formats and more time generating insights that matter on the pitch.\\n\\n## **Partnership Perspectives**\\n\\n\\"Supporting PySport and integrating with Kloppy aligns perfectly with our mission: delivering impactful football data in an open ecosystem,\\" said Stefan Reinartz, Co-Founder of IMPECT. \\"With more and more professional clubs using open tools like Kloppy, it felt like the right moment to contribute to that ecosystem in a meaningful way.\\"\\n\\nKoen Vossen, Chair of PySport, added: \\"IMPECT is our first corporate sponsor. It\'s encouraging to see a company not only open to collaboration, but actively investing in open-source infrastructure. Partnerships like this show how commercial players and open communities can work together to move the field forward.\\"\\n\\n## **What\u2019s next**\\n\\nThe IMPECT integration is currently in development for the upcoming Kloppy release. PySport has updated its website to prominently feature IMPECT as a Game Changer sponsor on our front page.\\n\\n[Website IMPECT](https://www.impect.com/en/)"},"nl":{"type":"post","date":"2025-07-09T10:00:00Z","name":"IMPECT becomes PySport\'s first sponsor","body":"In a landscape shaped by proprietary tools and fragmented standards, PySport and IMPECT are partnering to support a more open and interoperable future for football analytics. This partnership is grounded in shared values - transparency, accessibility, and the belief that collaboration benefits everyone in our community.\\n\\n## **About IMPECT**\\n\\nIn 2014 IMPECT was founded by former Bundesliga players Stefan Reinartz and Jens Hegeler, with the goal of developing football data that you can use to make valuable assessments of players and team

2s.\\n\\nTheir Packing Model focuses on opponents (and teammates) who are either bypassed by a progressive action, added back into play by a regressive action, removed from defending through a ball win, or added to defending through a ball loss, and their API provides structured access to rich event and context data. impect.com\\n\\n## **About PySport**\\n\\nPySport is a nonprofit open-source community that supports analysts, developers, coaches, and researchers across all sports. The organization\'s tools, including Kloppy, make sports data easier to work with - streamlining everything from ingestion and transformation to analysis and sharing.\xa0\\n\\nPySport aims to unite the sports analytics community around open-source invasion!\\n\\n## **Collaboration**\\n\\nIMPECT\'s sponsorship enables native Kloppy support for their event data format, currently in development. As PySport\'s first corporate sponsor, IMPECT is helping fund essential open-source infrastructure for sports analytics. The upcoming Kloppy release will be designated the \\"IMPECT-Sponsored Release\\" to recognize this collaboration.\\n\\nThis partnership model \u2014 where companies contribute to open-source development around their own data - is standard practice in cloud and data infrastructure, yet remains rare in sports analytics. Together, PySport and IMPECT are pioneering a more collaborative approach to football data tooling.\\n\\n## **In Practice**\\n\\nThis integration reduces friction for analysts, researchers, and developers by eliminating technical barriers between data sources and analytical tools. Whether you\'re working at a professional club, conducting academic research, or building new applications, streamlined access to IMPECT\'s data through Kloppy means less time wrestling with data formats and more time generating insights that matter on the pitch.\\n\\n## **Partnership Perspectives**\\n\\n\\"Supporting PySport and integrating with Kloppy aligns perfectly with our mission: delivering impactful football data in an open ecosystem,\\" said Stefan Reinartz, Co-Founder of IMPECT. \\"With more and more professional clubs using open tools like Kloppy, it felt like the right moment to contribute to that ecosystem in a meaningful way.\\"\\n\\nKoen Vossen, Chair of PySport, added: \\"IMPECT is our first corporate sponsor. It\'s encouraging to see a company not only open to collaboration, but actively investing in open-source infrastructure. Partnerships like this show how commercial players and open communities can work together to move the field forward.\\"\\n\\n## **What\u2019s next**\\n\\nThe IMPECT integration is currently in development for the upcoming Kloppy release. PySport has updated its website to prominently feature IMPECT as a Game Changer sponsor on our front page.\\n\\n[Website IMPECT](https://www.impect.com/en/)"}}')},837:e=>{"use strict";e.exports="SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED"},844:e=>{e.exports={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0}},853:(e,t,n)=>{"use strict";e.exports=n(234)},950:(e,t,n)=>{"use strict";!function e(){if("undefined"!==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&"function"===typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.checkDCE)try{__REACT_DEVTOOLS_GLOBAL_HOOK__.checkDCE(e)}catch(t){console.error(t)}}(),e.exports=n(730)}},t={};function n(r){var o=t[r];if(void 0!==o)return o.exports;var a=t[r]={exports:{}};return e[r].call(a.exports,a,a.exports,n),a.exports}n.n=e=>{var t=e&&e.__esModule?()=>e.default:()=>e;return n.d(t,{a:t}),t},(()=>{var e,t=Object.getPrototypeOf?e=>Object.getPrototypeOf(e):e=>e.__proto__;n.t=function(r,o){if(1&o&&(r=this(r)),8&o)return r;if("object"===typeof r&&r){if(4&o&&r.__esModule)return r;if(16&o&&"function"===typeof r.then)return r}var a=Object.create(null);n.r(a);var i={};e=e||[null,t({}),t([]),t(t)];for(var s=2&o&&r;"object"==typeof s&&!~e.indexOf(s);s=t(s))Object.getOwnPropertyNames(s).forEach(e=>i[e]=()=>r[e]);return i.default=()=>r,n.d(a,i),a}})(),n.d=(e,t)=>{for(var r in t)n.o(t,r)&&!n.o(e,r)&&Object.defineProperty(e,r,{enumerable:!0,get:t[r]})},n.g=function(){if("object"===typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"===typeof window)return window}

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2i18nFormat","utils"],e,this),this.options=t,void 0===this.options.keySeparator&&(this.options.keySeparator="."),this.logger=em.create("translator")}changeLanguage(e){e&&(this.language=e)}exists(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{interpolation:{}};if(void 0===e||null===e)return!1;const n=this.resolve(e,t);return n&&void 0!==n.res}extractFromKey(e,t){let n=void 0!==t.nsSeparator?t.nsSeparator:this.options.nsSeparator;void 0===n&&(n=":");const r=void 0!==t.keySeparator?t.keySeparator:this.options.keySeparator;let o=t.ns||this.options.defaultNS||[];const a=n&&e.indexOf(n)>-1,i=!this.options.userDefinedKeySeparator&&!t.keySeparator&&!this.options.userDefinedNsSeparator&&!t.nsSeparator&&!((e,t,n)=>{t=t||"",n=n||"";const r=$h.filter(e=>t.indexOf(e)<0&&n.indexOf(e)<0);if(0===r.length)return!0;const o=Qh.getRegExp("(".concat(r.map(e=>"?"===e?"\\?":e).join("|"),")"));let a=!o.test(e);if(!a){const t=e.indexOf(n);t>0&&!o.test(e.substring(0,t))&&(a=!0)}return a})(e,n,r);if(a&&!i){const t=e.match(this.interpolator.nestingRegexp);if(t&&t.length>0)return{key:e,namespaces:o};const a=e.split(n);(n!==r||n===r&&this.options.ns.indexOf(a[0])>-1)&&(o=a.shift()),e=a.join(r)}return Oh(o)&&(o=[o]),{key:e,namespaces:o}}translate(e,t,n){if("object"!==typeof t&&this.options.overloadTranslationOptionHandler&&(t=this.options.overloadTranslationOptionHandler(arguments)),"object"===typeof t&&(t=_t({},t)),t||(t={}),void 0===e||null===e)return"";Array.isArray(e)||(e=[String(e)]);const r=void 0!==t.returnDetails?t.returnDetails:this.options.returnDetails,o=void 0!==t.keySeparator?t.keySeparator:this.options.keySeparator,{key:a,namespaces:i}=this.extractFromKey(e[e.length-1],t),s=i[i.length-1],u=t.lng||this.language,l=t.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&"cimode"===u.toLowerCase()){if(l){const e=t.nsSeparator||this.options.nsSeparator;return r?{res:"".concat(s).concat(e).concat(a),usedKey:a,exactUsedKey:a,usedLng:u,usedNS:s,usedParams:this.getUsedParamsDetails(t)}:"".concat(s).concat(e).concat(a)}return r?{res:a,usedKey:a,exactUsedKey:a,usedLng:u,usedNS:s,usedParams:this.getUsedParamsDetails(t)}:a}const c=this.resolve(e,t);let d=c&&c.res;const p=c&&c.usedKey||a,f=c&&c.exactUsedKey||a,h=Object.prototype.toString.apply(d),m=void 0!==t.joinArrays?t.joinArrays:this.options.joinArrays,g=!this.i18nFormat||this.i18nFormat.handleAsObject,D=!Oh(d)&&"boolean"!==typeof d&&"number"!==typeof d;if(!(g&&d&&D&&["[object Number]","[object Function]","[object RegExp]"].indexOf(h)<0)||Oh(m)&&Array.isArray(d))if(g&&Oh(m)&&Array.isArray(d))d=d.join(m),d&&(d=this.extendTranslation(d,e,t,n));else{let r=!1,i=!1;const l=void 0!==t.count&&!Oh(t.count),p=am.hasDefaultValue(t),f=l?this.pluralResolver.getSuffix(u,t.count,t):"",h=t.ordinal&&l?this.pluralResolver.getSuffix(u,t.count,{ordinal:!1}):"",m=l&&!t.ordinal&&0===t.count&&this.pluralResolver.shouldUseIntlApi(),g=m&&t["defaultValue".concat(this.options.pluralSeparator,"zero")]||t["defaultValue".concat(f)]||t["defaultValue".concat(h)]||t.defaultValue;!this.isValidLookup(d)&&p&&(r=!0,d=g),this.isValidLookup(d)||(i=!0,d=a);const D=(t.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&i?void 0:d,y=p&&g!==d&&this.options.updateMissing;if(i||r||y){if(this.logger.log(y?"updateKey":"missingKey",u,s,a,y?g:d),o){const e=this.resolve(a,_t(_t({},t),{},{keySeparator:!1}));e&&e.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let e=[];const n=this.languageUtils.getFallbackCodes(this.options.fallbackLng,t.lng||this.language);if("fallback"===this.options.saveMissingTo&&n&&n[0])for(let t=0;t<n.length;t++)e.push(n[t]);else"all"===this.options.saveMissingTo?e=this.languageUtils.toResolveHierarchy(t.lng||this.language):e.push(t.lng||this.language);const r=(e,n,r)=>{const o=p&&r!==d?r:D;this.options.missingKeyHandler?this.options.missingKeyHandler(e,s,n,o,y,t):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(e,s,n,o,y,t),this.emit

2("missingKey",e,s,n,d)};this.options.saveMissing&&(this.options.saveMissingPlurals&&l?e.forEach(e=>{const n=this.pluralResolver.getSuffixes(e,t);m&&t["defaultValue".concat(this.options.pluralSeparator,"zero")]&&n.indexOf("".concat(this.options.pluralSeparator,"zero"))<0&&n.push("".concat(this.options.pluralSeparator,"zero")),n.forEach(n=>{r([e],a+n,t["defaultValue".concat(n)]||g)})}):r(e,a,g))}d=this.extendTranslation(d,e,t,c,n),i&&d===a&&this.options.appendNamespaceToMissingKey&&(d="".concat(s,":").concat(a)),(i||r)&&this.options.parseMissingKeyHandler&&(d="v1"!==this.options.compatibilityAPI?this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?"".concat(s,":").concat(a):a,r?d:void 0):this.options.parseMissingKeyHandler(d))}else{if(!t.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const e=this.options.returnedObjectHandler?this.options.returnedObjectHandler(p,d,_t(_t({},t),{},{ns:i})):"key '".concat(a," (").concat(this.language,")' returned an object instead of string.");return r?(c.res=e,c.usedParams=this.getUsedParamsDetails(t),c):e}if(o){const e=Array.isArray(d),n=e?[]:{},r=e?f:p;for(const a in d)if(Object.prototype.hasOwnProperty.call(d,a)){const e="".concat(r).concat(o).concat(a);n[a]=this.translate(e,_t(_t({},t),{joinArrays:!1,ns:i})),n[a]===e&&(n[a]=d[a])}d=n}}return r?(c.res=d,c.usedParams=this.getUsedParamsDetails(t),c):d}extendTranslation(e,t,n,r,o){var a=this;if(this.i18nFormat&&this.i18nFormat.parse)e=this.i18nFormat.parse(e,_t(_t({},this.options.interpolation.defaultVariables),n),n.lng||this.language||r.usedLng,r.usedNS,r.usedKey,{resolved:r});else if(!n.skipInterpolation){n.interpolation&&this.interpolator.init(_t(_t({},n),{interpolation:_t(_t({},this.options.interpolation),n.interpolation)}));const i=Oh(e)&&(n&&n.interpolation&&void 0!==n.interpolation.skipOnVariables?n.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let s;if(i){const t=e.match(this.interpolator.nestingRegexp);s=t&&t.length}let u=n.replace&&!Oh(n.replace)?n.replace:n;if(this.options.interpolation.defaultVariables&&(u=_t(_t({},this.options.interpolation.defaultVariables),u)),e=this.interpolator.interpolate(e,u,n.lng||this.language||r.usedLng,n),i){const t=e.match(this.interpolator.nestingRegexp);s<(t&&t.length)&&(n.nest=!1)}!n.lng&&"v1"!==this.options.compatibilityAPI&&r&&r.res&&(n.lng=this.language||r.usedLng),!1!==n.nest&&(e=this.interpolator.nest(e,function(){for(var e=arguments.length,r=new Array(e),i=0;i<e;i++)r[i]=arguments[i];return o&&o[0]===r[0]&&!n.context?(a.logger.warn("It seems you are nesting recursively key: ".concat(r[0]," in key: ").concat(t[0])),null):a.translate(...r,t)},n)),n.interpolation&&this.interpolator.reset()}const i=n.postProcess||this.options.postProcess,s=Oh(i)?[i]:i;return void 0!==e&&null!==e&&s&&s.length&&!1!==n.applyPostProcessor&&(e=rm.handle(s,e,t,this.options&&this.options.postProcessPassResolved?_t({i18nResolved:_t(_t({},r),{},{usedParams:this.getUsedParamsDetails(n)})},n):n,this)),e}resolve(e){let t,n,r,o,a,i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return Oh(e)&&(e=[e]),e.forEach(e=>{if(this.isValidLookup(t))return;const s=this.extractFromKey(e,i),u=s.key;n=u;let l=s.namespaces;this.options.fallbackNS&&(l=l.concat(this.options.fallbackNS));const c=void 0!==i.count&&!Oh(i.count),d=c&&!i.ordinal&&0===i.count&&this.pluralResolver.shouldUseIntlApi(),p=void 0!==i.context&&(Oh(i.context)||"number"===typeof i.context)&&""!==i.context,f=i.lngs?i.lngs:this.languageUtils.toResolveHierarchy(i.lng||this.language,i.fallbackLng);l.forEach(e=>{this.isValidLookup(t)||(a=e,!om["".concat(f[0],"-").concat(e)]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(om["".concat(f[0],"-").concat(e)]=!0,this.logger.warn('key "'.concat(n,'" for languages "').concat(f.join(", "),'" won\'t get resolved as namespace "').concat(a,'" was not yet loaded'),"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),f.forEach(n=>{if(this.isValidLookup(t))return;o=n;const a=[u];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(a,u,n,e,i);else{let e;c&&(e=this.pluralResolver.getSuffix(n,i.count,i));const t="".concat(this.options.pluralSeparator,"zero"),r="".concat(this.options.pluralSeparator,"ordinal").concat(this.options.pluralSeparator);if(c&&(a.push(u+e),i.ordinal&&0===e.indexOf(r)&&a.push(u+e.replace(r,this.options.pluralSeparator)),d&&a.push(u+t)),p){const n="".concat(u).

2concat(this.options.contextSeparator).concat(i.context);a.push(n),c&&(a.push(n+e),i.ordinal&&0===e.indexOf(r)&&a.push(n+e.replace(r,this.options.pluralSeparator)),d&&a.push(n+t))}}let s;for(;s=a.pop();)this.isValidLookup(t)||(r=s,t=this.getResource(n,e,s,i))}))})}),{res:t,usedKey:n,exactUsedKey:r,usedLng:o,usedNS:a}}isValidLookup(e){return void 0!==e&&!(!this.options.returnNull&&null===e)&&!(!this.options.returnEmptyString&&""===e)}getResource(e,t,n){let r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(e,t,n,r):this.resourceStore.getResource(e,t,n,r)}getUsedParamsDetails(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};const t=["defaultValue","ordinal","context","replace","lng","lngs","fallbackLng","ns","keySeparator","nsSeparator","returnObjects","returnDetails","joinArrays","postProcess","interpolation"],n=e.replace&&!Oh(e.replace);let r=n?e.replace:e;if(n&&"undefined"!==typeof e.count&&(r.count=e.count),this.options.interpolation.defaultVariables&&(r=_t(_t({},this.options.interpolation.defaultVariables),r)),!n){r=_t({},r);for(const e of t)delete r[e]}return r}static hasDefaultValue(e){const t="defaultValue";for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&t===n.substring(0,12)&&void 0!==e[n])return!0;return!1}}const im=e=>e.charAt(0).toUpperCase()+e.slice(1);class sm{constructor(e){this.options=e,this.supportedLngs=this.options.supportedLngs||!1,this.logger=em.create("languageUtils")}getScriptPartFromCode(e){if(!(e=Gh(e))||e.indexOf("-")<0)return null;const t=e.split("-");return 2===t.length?null:(t.pop(),"x"===t[t.length-1].toLowerCase()?null:this.formatLanguageCode(t.join("-")))}getLanguagePartFromCode(e){if(!(e=Gh(e))||e.indexOf("-")<0)return e;const t=e.split("-");return this.formatLanguageCode(t[0])}formatLanguageCode(e){if(Oh(e)&&e.indexOf("-")>-1){if("undefined"!==typeof Intl&&"undefined"!==typeof Intl.getCanonicalLocales)try{let t=Intl.getCanonicalLocales(e)[0];if(t&&this.options.lowerCaseLng&&(t=t.toLowerCase()),t)return t}catch(rD){}const t=["hans","hant","latn","cyrl","cans","mong","arab"];let n=e.split("-");return this.options.lowerCaseLng?n=n.map(e=>e.toLowerCase()):2===n.length?(n[0]=n[0].toLowerCase(),n[1]=n[1].toUpperCase(),t.indexOf(n[1].toLowerCase())>-1&&(n[1]=im(n[1].toLowerCase()))):3===n.length&&(n[0]=n[0].toLowerCase(),2===n[1].length&&(n[1]=n[1].toUpperCase()),"sgn"!==n[0]&&2===n[2].length&&(n[2]=n[2].toUpperCase()),t.indexOf(n[1].toLowerCase())>-1&&(n[1]=im(n[1].toLowerCase())),t.indexOf(n[2].toLowerCase())>-1&&(n[2]=im(n[2].toLowerCase()))),n.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?e.toLowerCase():e}isSupportedCode(e){return("languageOnly"===this.options.load||this.options.nonExplicitSupportedLngs)&&(e=this.getLanguagePartFromCode(e)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(e)>-1}getBestMatchFromCodes(e){if(!e)return null;let t;return e.forEach(e=>{if(t)return;const n=this.formatLanguageCode(e);this.options.supportedLngs&&!this.isSupportedCode(n)||(t=n)}),!t&&this.options.supportedLngs&&e.forEach(e=>{if(t)return;const n=this.getLanguagePartFromCode(e);if(this.isSupportedCode(n))return t=n;t=this.options.supportedLngs.find(e=>e===n?e:e.indexOf("-")<0&&n.indexOf("-")<0?void 0:e.indexOf("-")>0&&n.indexOf("-")<0&&e.substring(0,e.indexOf("-"))===n||0===e.indexOf(n)&&n.length>1?e:void 0)}),t||(t=this.getFallbackCodes(this.options.fallbackLng)[0]),t}getFallbackCodes(e,t){if(!e)return[];if("function"===typeof e&&(e=e(t)),Oh(e)&&(e=[e]),Array.isArray(e))return e;if(!t)return e.default||[];let n=e[t];return n||(n=e[this.getScriptPartFromCode(t)]),n||(n=e[this.formatLanguageCode(t)]),n||(n=e[this.getLanguagePartFromCode(t)]),n||(n=e.default),n||[]}toResolveHierarchy(e,t){const n=this.getFallbackCodes(t||this.options.fallbackLng||[],e),r=[],o=e=>{e&&(this.isSupportedCode(e)?r.push(e):this.logger.warn("rejecting language code not found in supportedLngs: ".concat(e)))};return Oh(e)&&(e.indexOf("-")>-1||e.indexOf("_")>-1)?("languageOnly"!==this.options.load&&o(this.formatLanguageCode(e)),"languageOnly"!==this.options.load&&"currentOnly"!==this.options.load&&o(this.getScriptPartFromCode(e)),"currentOnly"!==this.options.load&&o(this.getLanguagePartFromCode(e))):Oh(e)&&o(this.formatLanguageCode(e)),n.forEac

2h(e=>{r.indexOf(e)<0&&o(this.formatLanguageCode(e))}),r}}let um=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],lm={1:e=>Number(e>1),2:e=>Number(1!=e),3:e=>0,4:e=>Number(e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2),5:e=>Number(0==e?0:1==e?1:2==e?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5),6:e=>Number(1==e?0:e>=2&&e<=4?1:2),7:e=>Number(1==e?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2),8:e=>Number(1==e?0:2==e?1:8!=e&&11!=e?2:3),9:e=>Number(e>=2),10:e=>Number(1==e?0:2==e?1:e<7?2:e<11?3:4),11:e=>Number(1==e||11==e?0:2==e||12==e?1:e>2&&e<20?2:3),12:e=>Number(e%10!=1||e%100==11),13:e=>Number(0!==e),14:e=>Number(1==e?0:2==e?1:3==e?2:3),15:e=>Number(e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2),16:e=>Number(e%10==1&&e%100!=11?0:0!==e?1:2),17:e=>Number(1==e||e%10==1&&e%100!=11?0:1),18:e=>Number(0==e?0:1==e?1:2),19:e=>Number(1==e?0:0==e||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3),20:e=>Number(1==e?0:0==e||e%100>0&&e%100<20?1:2),21:e=>Number(e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0),22:e=>Number(1==e?0:2==e?1:(e<0||e>10)&&e%10==0?2:3)};const cm=["v1","v2","v3"],dm=["v4"],pm={zero:0,one:1,two:2,few:3,many:4,other:5};class fm{constructor(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};this.languageUtils=e,this.options=t,this.logger=em.create("pluralResolver"),this.options.compatibilityJSON&&!dm.includes(this.options.compatibilityJSON)||"undefined"!==typeof Intl&&Intl.PluralRules||(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=(()=>{const e={};return um.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:lm[t.fc]}})}),e})(),this.pluralRulesCache={}}addRule(e,t){this.rules[e]=t}clearCache(){this.pluralRulesCache={}}getRule(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};if(this.shouldUseIntlApi())try{const n=Gh("dev"===e?"en":e),r=t.ordinal?"ordinal":"cardinal",o=JSON.stringify({cleanedCode:n,type:r});if(o in this.pluralRulesCache)return this.pluralRulesCache[o];const a=new Intl.PluralRules(n,{type:r});return this.pluralRulesCache[o]=a,a}catch(n){return}return this.rules[e]||this.rules[this.languageUtils.getLanguagePartFromCode(e)]}needsPlural(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};const n=this.getRule(e,t);return this.shouldUseIntlApi()?n&&n.resolvedOptions().pluralCategories.length>1:n&&n.numbers.length>1}getPluralFormsOfKey(e,t){let n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{};return this.getSuffixes(e,n).map(e=>"".concat(t).concat(e))}getSuffixes(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};const n=this.getRule(e,t);return n?this.shouldUseIntlApi()?n.resolvedOptions().pluralCategories.sort((e,t)=>

2pm[e]-pm[t]).map(e=>"".concat(this.options.prepend).concat(t.ordinal?"ordinal".concat(this.options.prepend):"").concat(e)):n.numbers.map(n=>this.getSuffix(e,n,t)):[]}getSuffix(e,t){let n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{};const r=this.getRule(e,n);return r?this.shouldUseIntlApi()?"".concat(this.options.prepend).concat(n.ordinal?"ordinal".concat(this.options.prepend):"").concat(r.select(t)):this.getSuffixRetroCompatible(r,t):(this.logger.warn("no plural rule found for: ".concat(e)),"")}getSuffixRetroCompatible(e,t){const n=e.noAbs?e.plurals(t):e.plurals(Math.abs(t));let r=e.numbers[n];this.options.simplifyPluralSuffix&&2===e.numbers.length&&1===e.numbers[0]&&(2===r?r="plural":1===r&&(r=""));const o=()=>this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString();return"v1"===this.options.compatibilityJSON?1===r?"":"number"===typeof r?"_plural_".concat(r.toString()):o():"v2"===this.options.compatibilityJSON||this.options.simplifyPluralSuffix&&2===e.numbers.length&&1===e.numbers[0]?o():this.options.prepend&&n.toString()?this.options.prepend+n.toString():n.toString()}

2shouldUseIntlApi(){return!cm.includes(this.options.compatibilityJSON)}}const hm=function(e,t,n){let r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:".",o=!(arguments.length>4&&void 0!==arguments[4])||arguments[4],a=((e,t,n)=>{const r=Vh(e,n);return void 0!==r?r:Vh(t,n)})(e,t,n);return!a&&o&&Oh(n)&&(a=Jh(e,n,r),void 0===a&&(a=Jh(t,n,r))),a},mm=e=>e.replace(/\$/g,"$$$$");class gm{constructor(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};this.logger=em.create("interpolator"),this.options=e,this.format=e.interpolation&&e.interpolation.format||(e=>e),this.init(e)}init(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};e.interpolation||(e.interpolation={escapeValue:!0});const{escape:t,escapeValue:n,useRawValueToEscape:r,prefix:o,prefixEscaped:a,suffix:i,suffixEscaped:s,formatSeparator:u,unescapeSuffix:l,unescapePrefix:c,nestingPrefix:d,nestingPrefixEscaped:p,nestingSuffix:f,nestingSuffixEscaped:h,nestingOptionsSeparator:m,maxReplaces:g,alwaysFormat:D}=e.interpolation;this.escape=void 0!==t?t:Yh,this.escapeValue=void 0===n||n,this.useRawValueToEscape=void 0!==r&&r,this.prefix=o?Wh(o):a||"{{",this.suffix=i?Wh(i):s||"}}",this.formatSeparator=u||",",this.unescapePrefix=l?"":c||"-",this.unescapeSuffix=this.unescapePrefix?"":l||"",this.nestingPrefix=d?Wh(d):p||Wh("$t("),this.nestingSuffix=f?Wh(f):h||Wh(")"),this.nestingOptionsSeparator=m||",",this.maxReplaces=g||1e3,this.alwaysFormat=void 0!==D&&D,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const e=(e,t)=>e&&e.source===t?(e.lastIndex=0,e):new RegExp(t,"g");this.regexp=e(this.regexp,"".concat(this.prefix,"(.+?)").concat(this.suffix)),this.regexpUnescape=e(this.regexpUnescape,"".concat(this.prefix).concat(this.unescapePrefix,"(.+?)").concat(this.unescapeSuffix).concat(this.suffix)),this.nestingRegexp=e(this.nestingRegexp,"".concat(this.nestingPrefix,"(.+?)").concat(this.nestingSuffix))}interpolate(e,t,n,r){let o,a,i;const s=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{},u=e=>{if(e.indexOf(this.formatSeparator)<0){const o=hm(t,s,e,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(o,void 0,n,_t(_t(_t({},r),t),{},{interpolationkey:e})):o}const o=e.split(this.formatSeparator),a=o.shift().trim(),i=o.join(this.formatSeparator).trim();return this.format(hm(t,s,a,this.options.keySeparator,this.options.ignoreJSONStructure),i,n,_t(_t(_t({},r),t),{},{interpolationkey:a}))};this.resetRegExp();const l=r&&r.missingInterpolationHandler||this.options.missingInterpolationHandler,c=r&&r.interpolation&&void 0!==r.interpolation.skipOnVariables?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:e=>mm(e)},{regex:this.regexp,safeValue:e=>this.escapeValue?mm(this.escape(e)):mm(e)}].forEach(t=>{for(i=0;o=t.regex.exec(e);){const n=o[1].trim();if(a=u(n),void 0===a)if("function"===typeof l){const t=l(e,o,r);a=Oh(t)?t:""}else if(r&&Object.prototype.hasOwnProperty.call(r,n))a="";else{if(c){a=o[0];continue}this.logger.warn("missed to pass in variable ".concat(n," for interpolating ").concat(e)),a=""}else Oh(a)||this.useRawValueToEscape||(a=Rh(a));const s=t.safeValue(a);if(e=e.replace(o[0],s),c?(t.regex.lastIndex+=a.length,t.regex.lastIndex-=o[0].length):t.regex.lastIndex=0,i++,i>=this.maxReplaces)break}}),e}nest(e,t){let n,r,o,a=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{};const i=(e,t)=>{const n=this.nestingOptionsSeparator;if(e.indexOf(n)<0)return e;const r=e.split(new RegExp("".concat(n,"[ ]*{")));let a="{".concat(r[1]);e=r[0],a=this.interpolate(a,o);const i=a.match(/'/g),s=a.match(/"/g);(i&&i.length%2===0&&!s||s.length%2!==0)&&(a=a.replace(/'/g,'"'));try{o=JSON.parse(a),t&&(o=_t(_t({},t),o))}catch(rD){return this.logger.warn("failed parsing options string in nesting for key ".concat(e),rD),"".concat(e).concat(n).concat(a)}return o.defaultValue&&o.defaultValue.indexOf(this.prefix)>-1&&delete o.defaultValue,e};for(;n=this.nestingRegexp.exec(e);){let s=[];o=_t({},a),o=o.replace&&!Oh(o.replace)?o.replace:o,o.applyPostProcessor=!1,delete o.defaultValue;let u=!1;if(-1!==n[0].indexOf(this.formatSeparator)&&!/{.*}/.test(n[1])){const e=n[1].split(this.formatSeparator).map(e=>e.trim());n[1]=e.shift(),s=e,u=!0}if(r=t(i.call(this,n[1].trim(),o),o),r&&n[0]===e&&!Oh(r))return r;Oh(r)||(r=Rh(r)),r||(this.logger.warn("missed to resolve ".concat(n[1]," for nesting ").concat(e)),r=""),u&&(r=s.reduce((e,t)=>

2this.format(e,t,a.lng,_t(_t({},a),{},{interpolationkey:n[1].trim()})),r.trim())),e=e.replace(n[0],r),this.regexp.lastIndex=0}return e}}const Dm=e=>{const t={};return(n,r,o)=>{let a=o;o&&o.interpolationkey&&o.formatParams&&o.formatParams[o.interpolationkey]&&o[o.interpolationkey]&&(a=_t(_t({},a),{},{[o.interpolationkey]:void 0}));const i=r+JSON.stringify(a);let s=t[i];return s||(s=e(Gh(r),o),t[i]=s),s(n)}};class ym{constructor(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};this.logger=em.create("formatter"),this.options=e,this.formats={number:Dm((e,t)=>n=>new Intl.NumberFormat(e,_t({},t)).format(n)),currency:Dm((e,t)=>n=>new Intl.NumberFormat(e,_t(_t({},t),{},{style:"currency"})).format(n)),datetime:Dm((e,t)=>n=>new Intl.DateTimeFormat(e,_t({},t)).format(n)),relativetime:Dm((e,t)=>n=>new Intl.RelativeTimeFormat(e,_t({},t)).format(n,t.range||"day")),list:Dm((e,t)=>n=>new Intl.ListFormat(e,_t({},t)).format(n))},this.init(e)}init(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{interpolation:{}};this.formatSeparator=t.interpolation.formatSeparator||","}add(e,t){this.formats[e.toLowerCase().trim()]=t}addCached(e,t){this.formats[e.toLowerCase().trim()]=Dm(t)}format(e,t,n){let r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{};const o=t.split(this.formatSeparator);if(o.length>1&&o[0].indexOf("(")>1&&o[0].indexOf(")")<0&&o.find(e=>e.indexOf(")")>-1)){const e=o.findIndex(e=>e.indexOf(")")>-1);o[0]=[o[0],...o.splice(1,e)].join(this.formatSeparator)}return o.reduce((e,t)=>{const{formatName:o,formatOptions:a}=(e=>{let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const o=r[1].substring(0,r[1].length-1);"currency"===t&&o.indexOf(":")<0?n.currency||(n.currency=o.trim()):"relativetime"===t&&o.indexOf(":")<0?n.range||(n.range=o.trim()):o.split(";").forEach(e=>{if(e){const[t,...r]=e.split(":"),o=r.join(":").trim().replace(/^'+|'+$/g,""),a=t.trim();n[a]||(n[a]=o),"false"===o&&(n[a]=!1),"true"===o&&(n[a]=!0),isNaN(o)||(n[a]=parseInt(o,10))}})}return{formatName:t,formatOptions:n}})(t);if(this.formats[o]){let t=e;try{const i=r&&r.formatParams&&r.formatParams[r.interpolationkey]||{},s=i.locale||i.lng||r.locale||r.lng||n;t=this.formats[o](e,s,_t(_t(_t({},a),r),i))}catch(i){this.logger.warn(i)}return t}return this.logger.warn("there was no format function for ".concat(o)),e},e)}}class vm extends tm{constructor(e,t,n){let r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{};super(),this.backend=e,this.store=t,this.services=n,this.languageUtils=n.languageUtils,this.options=r,this.logger=em.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=r.maxParallelReads||10,this.readingCalls=0,this.maxRetries=r.maxRetries>=0?r.maxRetries:5,this.retryTimeout=r.retryTimeout>=1?r.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(n,r.backend,r)}queueLoad(e,t,n,r){const o={},a={},i={},s={};return e.forEach(e=>{let r=!0;t.forEach(t=>{const i="".concat(e,"|").concat(t);!n.reload&&this.store.hasResourceBundle(e,t)?this.state[i]=2:this.state[i]<0||(1===this.state[i]?void 0===a[i]&&(a[i]=!0):(this.state[i]=1,r=!1,void 0===a[i]&&(a[i]=!0),void 0===o[i]&&(o[i]=!0),void 0===s[t]&&(s[t]=!0)))}),r||(i[e]=!0)}),(Object.keys(o).length||Object.keys(a).length)&&this.queue.push({pending:a,pendingCount:Object.keys(a).length,loaded:{},errors:[],callback:r}),{toLoad:Object.keys(o),pending:Object.keys(a),toLoadLanguages:Object.keys(i),toLoadNamespaces:Object.keys(s)}}loaded(e,t,n){const r=e.split("|"),o=r[0],a=r[1];t&&this.emit("failedLoading",o,a,t),!t&&n&&this.store.addResourceBundle(o,a,n,void 0,void 0,{skipCopy:!0}),this.state[e]=t?-1:2,t&&n&&(this.state[e]=0);const i={};this.queue.forEach(n=>{((e,t,n)=>{const{obj:r,k:o}=Uh(e,t,Object);r[o]=r[o]||[],r[o].push(n)})(n.loaded,[o],a),((e,t)=>{void 0!==e.pending[t]&&(delete e.pending[t],e.pendingCount--)})(n,e),t&&n.errors.push(t),0!==n.pendingCount||n.done||(Object.keys(n.loaded).forEach(e=>{i[e]||(i[e]={});const t=n.loaded[e];t.length&&t.forEach(t=>{void 0===i[e][t]&&(i[e][t]=!0)})}),n.done=!0,n.errors.length?n.callback(n.errors):n.callback())}

2),this.emit("loaded",i),this.queue=this.queue.filter(e=>!e.done)}read(e,t,n){let r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,o=arguments.length>4&&void 0!==arguments[4]?arguments[4]:this.retryTimeout,a=arguments.length>5?arguments[5]:void 0;if(!e.length)return a(null,{});if(this.readingCalls>=this.maxParallelReads)return void this.waitingReads.push({lng:e,ns:t,fcName:n,tried:r,wait:o,callback:a});this.readingCalls++;const i=(i,s)=>{if(this.readingCalls--,this.waitingReads.length>0){const e=this.waitingReads.shift();this.read(e.lng,e.ns,e.fcName,e.tried,e.wait,e.callback)}i&&s&&r<this.maxRetries?setTimeout(()=>{this.read.call(this,e,t,n,r+1,2*o,a)},o):a(i,s)},s=this.backend[n].bind(this.backend);if(2!==s.length)return s(e,t,i);try{const n=s(e,t);n&&"function"===typeof n.then?n.then(e=>i(null,e)).catch(i):i(null,n)}catch(u){i(u)}}prepareLoading(e,t){let n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),r&&r();Oh(e)&&(e=this.languageUtils.toResolveHierarchy(e)),Oh(t)&&(t=[t]);const o=this.queueLoad(e,t,n,r);if(!o.toLoad.length)return o.pending.length||r(),null;o.toLoad.forEach(e=>{this.loadOne(e)})}load(e,t,n){this.prepareLoading(e,t,{},n)}reload(e,t,n){this.prepareLoading(e,t,{reload:!0},n)}loadOne(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"";const n=e.split("|"),r=n[0],o=n[1];this.read(r,o,"read",void 0,void 0,(n,a)=>{n&&this.logger.warn("".concat(t,"loading namespace ").concat(o," for language ").concat(r," failed"),n),!n&&a&&this.logger.log("".concat(t,"loaded namespace ").concat(o," for language ").concat(r),a),this.loaded(e,n,a)})}saveMissing(e,t,n,r,o){let a=arguments.length>5&&void 0!==arguments[5]?arguments[5]:{},i=arguments.length>6&&void 0!==arguments[6]?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(t))this.logger.warn('did not save key "'.concat(n,'" as the namespace "').concat(t,'" was not yet loaded'),"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");else if(void 0!==n&&null!==n&&""!==n){if(this.backend&&this.backend.create){const u=_t(_t({},a),{},{isUpdate:o}),l=this.backend.create.bind(this.backend);if(l.length<6)try{let o;o=5===l.length?l(e,t,n,r,u):l(e,t,n,r),o&&"function"===typeof o.then?o.then(e=>i(null,e)).catch(i):i(null,o)}catch(s){i(s)}else l(e,t,n,r,i,u)}e&&e[0]&&this.store.addResource(e[0],t,n,r)}}}const bm=()=>({debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:e=>{let t={};if("object"===typeof e[1]&&(t=e[1]),Oh(e[1])&&(t.defaultValue=e[1]),Oh(e[2])&&(t.tDescription=e[2]),"object"===typeof e[2]||"object"===typeof e[3]){const n=e[3]||e[2];Object.keys(n).forEach(e=>{t[e]=n[e]})}return t},interpolation:{escapeValue:!0,format:e=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}),xm=e=>(Oh(e.ns)&&(e.ns=[e.ns]),Oh(e.fallbackLng)&&(e.fallbackLng=[e.fallbackLng]),Oh(e.fallbackNS)&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e),Cm=()=>{};class wm extends tm{constructor(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=arguments.length>1?arguments[1]:void 0;var n;if(super(),this.options=xm(e),this.services={},this.logger=em,this.modules={external:[]},n=this,Object.getOwnPropertyNames(Object.getPrototypeOf(n)).forEac

2h(e=>{"function"===typeof n[e]&&(n[e]=n[e].bind(n))}),t&&!this.isInitialized&&!e.isClone){if(!this.options.initImmediate)return this.init(e,t),this;setTimeout(()=>{this.init(e,t)},0)}}init(){var e=this;let t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;this.isInitializing=!0,"function"===typeof t&&(n=t,t={}),!t.defaultNS&&!1!==t.defaultNS&&t.ns&&(Oh(t.ns)?t.defaultNS=t.ns:t.ns.indexOf("translation")<0&&(t.defaultNS=t.ns[0]));const r=bm();this.options=_t(_t(_t({},r),this.options),xm(t)),"v1"!==this.options.compatibilityAPI&&(this.options.interpolation=_t(_t({},r.interpolation),this.options.interpolation)),void 0!==t.keySeparator&&(this.options.userDefinedKeySeparator=t.keySeparator),void 0!==t.nsSeparator&&(this.options.userDefinedNsSeparator=t.nsSeparator);const o=e=>e?"function"===typeof e?new e:e:null;if(!this.options.isClone){let t;this.modules.logger?em.init(o(this.modules.logger),this.options):em.init(null,this.options),this.modules.formatter?t=this.modules.formatter:"undefined"!==typeof Intl&&(t=ym);const n=new sm(this.options);this.store=new nm(this.options.resources,this.options);const a=this.services;a.logger=em,a.resourceStore=this.store,a.languageUtils=n,a.pluralResolver=new fm(n,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),!t||this.options.interpolation.format&&this.options.interpolation.format!==r.interpolation.format||(a.formatter=o(t),a.formatter.init(a,this.options),this.options.interpolation.format=a.formatter.format.bind(a.formatter)),a.interpolator=new gm(this.options),a.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},a.backendConnector=new vm(o(this.modules.backend),a.resourceStore,a,this.options),a.backendConnector.on("*",function(t){for(var n=arguments.length,r=new Array(n>1?n-1:0),o=1;o<n;o++)r[o-1]=arguments[o];e.emit(t,...r)}),this.modules.languageDetector&&(a.languageDetector=o(this.modules.languageDetector),a.languageDetector.init&&a.languageDetector.init(a,this.options.detection,this.options)),this.modules.i18nFormat&&(a.i18nFormat=o(this.modules.i18nFormat),a.i18nFormat.init&&a.i18nFormat.init(this)),this.translator=new am(this.services,this.options),this.translator.on("*",function(t){for(var n=arguments.length,r=new Array(n>1?n-1:0),o=1;o<n;o++)r[o-1]=arguments[o];e.emit(t,...r)}),this.modules.external.forEach(e=>{e.init&&e.init(this)})}if(this.format=this.options.interpolation.format,n||(n=Cm),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const e=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);e.length>0&&"dev"!==e[0]&&(this.options.lng=e[0])}this.services.languageDetector||this.options.lng||this.logger.warn("init: no languageDetector is used and no lng is defined");["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(t=>{this[t]=function(){return e.store[t](...arguments)}});["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(t=>{this[t]=function(){return e.store[t](...arguments),e}});const a=Lh(),i=()=>{const e=(e,t)=>{this.isInitializing=!1,this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),a.resolve(t),n(e,t)};if(this.languages&&"v1"!==this.options.compatibilityAPI&&!this.isInitialized)return e(null,this.t.bind(this));this.changeLanguage(this.options.lng,e)};return this.options.resources||!this.options.initImmediate?i():setTimeout(i,0),a}loadResources(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:Cm;const n=Oh(e)?e:this.language;if("function"===typeof e&&(t=e),!this.options.resources||this.options.partialBundledLanguages){if(n&&"cimode"===n.toLowerCase()&&(!this.options.preload||0===this.options.preload.length))return t();const e=[],r=t=>{if(!t)return;if("cimode"===t)return;this.services.languageUtils.toResolveHierarchy(t).forEach(t=>{"cimode"!==t&&e.indexOf(t)<0&&e.push(t)})};if(n)r(n);else{this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(e

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2items":["Showcase your skills to <strong>leading clubs</strong>, <strong>SkillCorner</strong>, <strong>PySport</strong> and the wider football analytics industry.","Get the opportunity to <strong>present at an invite-only event</strong> at the SkillCorner HQ in Paris on February 5th.","Contribute to open-source development that will benefit the entire football analytics industry while creating a name for yourself.","Build connections and open doors for <strong>future career opportunities</strong>.","Win a 1500\u20ac open-source grant, and one of six 500\u20ac gift cards."]},{"title":"Who Should Join?","items":["Independent or club-affiliated <strong>analysts</strong> and <strong>data scientists</strong>","<strong>Python developers</strong> and open-source contributors","<strong>Academic</strong> researchers and PhD students","<strong>Sports innovators</strong> working in tracking, AI, or performance analysis","<strong>Football analytics</strong> and <strong>sports data</strong> enthusiasts"]}]}]},{"id":"datasets","title":"The Dataset","subsections":[{"id":"australia-aleague","title":"Australia A-League Dataset","navTitle":"A-League Dataset","type":"dataset-card","name":"Australia A-League Dataset \u2014 Season 2024/25","items":["175 Games of Physical Aggregates of All Midfielders (Season Level)","10 Games of XY Tracking Data + Game Intelligence Dynamic Events","Free Access via GitHub (MIT licence)"],"link":{"label":"SkillCorner Open Data","url":"https://github.com/SkillCorner/opendata"}}],"navTitle":"Dataset"},{"id":"key-dates","title":"Key Dates","subsections":[{"id":"timeline","title":"Timeline","type":"timeline","dates":[{"date":"October 2025","label":"Challenge opens with dataset release","icon":"\ud83d\udcca"},{"date":"28th December 2025","label":"Submissions deadline","icon":"\ud83d\udcdd"},{"date":"8th January 2026","label":"Finalist announcements","icon":"\u2696\ufe0f"},{"date":"5th February 2026","label":"Selected finalists invited to present at SkillCorner HQ in Paris","icon":"\ud83c\udfc6"}]}],"navTitle":"Dates"},{"id":"competition","title":"Competition","subsections":[{"id":"tracks","title":"Challenge Tracks","type":"tracks","intro":"Tackle real-world problems through two dedicated tracks:","items":[{"number":1,"title":"Analyst Track","goal":"Help coaches, analysts and other stakeholders manipulate and visualize data to uncover valuable insights in a novel way. For example:","objectives":["Create tools to visualize dynamic events","Build an interactive dashboard to uncover insights from the open dataset","Design a tool to better communicate information contained within the vast dataset(s)"]},{"number":2,"title":"Research Track","goal":"Create and share innovative research that leverages the open data to create a new metric, novel insights or another substantial contribution to football analytics from (at least) the tracking data. For example:","objectives":["Identify key situations or patterns of play using tracking and dynamic event data","Analyse the impact of combined player movements","Assess player decision making during critical moments of the game"]}]},{"id":"prizes","title":"Finalists and Prizes","type":"prizes","items":[{"icon":"\ud83c\uddeb\ud83c\uddf7","title":"Present at the invite-only Paris Finale","detail":"Awarded to the <strong>top 6 participants</strong>"},{"icon":"\ud83c\udf81","title":"\u20ac500 gift card","detail":"Awarded to the <strong>top 6 participants</strong> to subsidise travel to the Paris Finale and/or to spend as they wish"},{"icon":"\ud83d\udcb0","title":"\u20ac1,500 Open Source Grant*","detail":"For the <strong>winning entry</strong>, supporting its conversion into either a Python package, or a functional pull request to an existing Python package","note":"*Grant is released upon completion of this deliverable"}]},{"id":"finalist-award","title":"Finalist Award","type":"content","paragraphs":["The top 6 finalists are invited to present at the exclusive in-person event at SkillCorner HQ in Paris on February 5th 2026.","Each finalist receives a <strong>\u20ac500 gift card</strong> to subsidise travel to the Paris Finale and/or to spend as they wish."]},{"id":"regional-winner-grant","title":"Winner \u2014 Open Source Grant","navTitle":"Open Source Grant","type":"content","paragraphs":["The winning entry receives a <strong>\u20ac1,500 Open Source Grant</strong> to convert their project into either a Python package or a functional pull request to an existing Python package.","The grant is released upon successful completion of this deliverable."]},{"id":"judging","title":"Judging","type":"judging","criteria":[{"label":"Innovation","weight":"25%","detail":"Novel approaches to sports anal

2ytics problems"},{"label":"Technical Quality","weight":"25%","detail":"Code quality, architecture, and documentation"},{"label":"Practical Impact","weight":"25%","detail":"Real-world applicability and value to the sports community"},{"label":"Open Source Potential","weight":"25%","detail":"Likelihood of becoming a valuable open-source tool"}]},{"id":"open-source","title":"Open Source Impact","type":"content","paragraphs":["Analytics Cup is built around open collaboration and reproducible work. All submissions must use an open-source license (MIT, Apache 2.0, or similar).","The winning entry will receive an Open Source Grant to convert their project into a Python package or significant pull request to an existing open-source project."]},{"id":"how-to-enter","title":"How to Enter","type":"steps","items":["Register using the official registration form","Choose your track: Analyst or Research","Use the official submission template for your chosen track","Submit your final project via pretalx before December 28th 2025"],"templates":[{"label":"Analyst Track Template","url":"https://github.com/PySport/analytics_cup_analyst"},{"label":"Research Track Template","url":"https://github.com/PySport/analytics_cup_research"}]}],"navTitle":"Competition"},{"id":"results","title":"Results","subsections":[{"id":"results-intro","title":"Analytics Cup Results","navTitle":"Results","type":"results-intro","paragraphs":["On behalf of <strong>SkillCorner</strong> and <strong>PySport</strong>, thanks to all who participated in the first ever <strong>SkillCorner X PySport Analytics Cup</strong>. We have been impressed by the standard of work, the creativity of the ideas, and the effort you have put into both engaging with the dataset and the community.","The <strong>Analytics Cup</strong> culminated with an in-person event at <strong>SkillCorner HQ in Paris on Thursday, 5 February 2026</strong>. Each of the six finalists presented their projects to a judging panel and industry experts from top European clubs.","Congratulations to the following six Finalists, as well as the Honourable Mentions."],"image":"/images/optimized/pysport_paris.jpg"},{"id":"winner","title":"Winner","type":"winner","track":"Research Track","name":"Amar Shah","project":"Simulated Annealing For Positional Optimization","github":"https://github.com/amarshah1999/analytics_cup_research/tree/main","image":"/images/optimized/winner.png"},{"id":"finalists","title":"Finalists","type":"finalists-from-csv","csvFile":"analytics-cup-26.csv"},{"id":"honourable-mentions","title":"Honourable Mentions","type":"honourable-mentions-from-csv","csvFile":"analytics-cup-26.csv"}],"navTitle":"Results"},{"id":"faq","title":"FAQ","subsections":[{"id":"faq-general","title":"General Questions","type":"faq-segment","items":[{"question":"Can I submit as a team?","answer":"No, only individual submissions are allowed. Each participant must work independently on their project."},{"question":"What are the important dates?","answer":"<ul><li><strong>October 2025:</strong> Competition Kick-Off</li><li><strong>December 28th 2025:</strong> Submission Deadline</li><li><strong>January 8th 2026:</strong> Results Announced</li><li><strong>February 5th 2026:</strong> Invite-only Paris Finale at SkillCorner HQ</li></ul>"},{"question":"How do I submit my project?","answer":"<ol><li>Use the official submission template for your chosen track: <ul><li><a href=\\"https://github.com/PySport/analytics_cup_analyst\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">Analyst Track Template</a></li><li><a href=\\"https://github.com/PySport/analytics_cup_research\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">Research Track Template</a></li></ul></li><li>Submit your final project at <a href=\\"https://pretalx.pysport.org\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">pretalx.pysport.org</a></li></ol>"},{"question":"Can I submit to both tracks?","answer":"Yes! You can submit one project per track (Analyst and Research), giving you two opportunities to participate."},{"question":"What tools can I use?","answer":"You must use open-source tools only. This means no proprietary software like Excel, Tableau, PowerBI, etc. Your project should be reproducible using freely available open-source tools and libraries."},{"question":"What license should I use?","answer":"Your submission must use an open-source license such as MIT, Apache 2.0, or similar permissive licenses."},{"question":"How will projects be judged?","answer":"<ul><li><strong>Innovation (25%):</strong>

2 Novel approaches to sports analytics problems</li><li><strong>Technical Quality (25%):</strong> Code quality, architecture, and documentation</li><li><strong>Practical Impact (25%):</strong> Real-world applicability and value to the sports community</li><li><strong>Open Source Potential (25%):</strong> Likelihood of becoming a valuable open-source tool</li></ul>"},{"question":"Do I need to use the SkillCorner data?","answer":"Yes, your submission must demonstrate use of the provided SkillCorner tracking data. This is a core requirement of the competition."},{"question":"Can I use code from other projects?","answer":"You must submit original work. While you can use open-source libraries and frameworks, the core analytical work and implementation must be your own. Plagiarized work will result in disqualification. Research should be properly cited."},{"question":"What if I miss the deadline?","answer":"Late submissions will not be accepted and will result in disqualification. Make sure to submit before midnight on December 28th 2025."},{"question":"How do I get support during the competition?","answer":"After sign-up you received a link to the Analytics Cup Discord server where you can ask questions, get clarifications, and connect with other participants."},{"question":"Who owns the intellectual property of my submission?","answer":"You retain ownership of your original contributions. However, your submission must use an open-source license, and by participating, you grant permission for SkillCorner and PySport to feature your work in case studies and promotional materials."},{"question":"Is there any way to get film associated with the tracking data?","answer":"No."}]},{"id":"faq-open-source","title":"Open Source Projects","type":"faq-segment","items":[{"question":"What is the Open Source Grant?","answer":"The winner receives \u20ac1,500 to develop their project into a fully-fledged Python package or significant pull request to an existing open-source project. The grant is released upon successful completion of the open-source deliverable."},{"question":"What qualifies as a good open-source deliverable?","answer":"A good open-source deliverable should include comprehensive documentation, unit tests, clear installation instructions, and follow best practices for Python package development. It should be useful to the broader sports analytics community and maintainable in the long term."},{"question":"How do I get started with the Dynamic Events, Phases of Play and Physical Data?","answer":"You can follow the <a href=\\"https://github.com/SkillCorner/opendata/tree/master/resources/Tutorials\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">tutorial provided by SkillCorner.</a>"},{"question":"How do I get started with the tracking data?","answer":"You can follow the tutorial on <a href=\\"https://github.com/SkillCorner/opendata/blob/master/resources/getting-started-skc-tracking-kloppy.ipynb\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">Getting Started with Kloppy and tracking data.</a>"},{"question":"Are there any existing open-source football analytics tools I can use for inspiration?","answer":"<p>Below is a <strong>non-exhaustive</strong> list of publicly available tools:</p><p><strong>Plotting</strong></p><ul><li><a href=\\"https://mplsoccer.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">mplsoccer</a> and <a href=\\"https://matplotlib.org/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">matplotlib</a></li><li><a href=\\"https://github.com/probberechts/d3-soccer\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">soccer-d3</a></li></ul><p><strong>Positional Tracking Data</strong></p><ul><li><a href=\\"https://floodlight.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">floodlight</a></li><li><a href=\\"https://databallpy.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">databallpy</a></li><li><a href=\\"https://github.com/UnravelSports/UnravelSports\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">unravelsports</a></li></ul><p><strong>Other Resources</strong></p><ul><li><a href=\\"https://socceraction.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">socceraction</a></li><li><a href=\\"https://github.com/ML-KULeuven/ETSY\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">ETSY</a></li><li><a href=\\"https://github.com/devinpleuler/analytics-handbook\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">Soccer Analytics Handbook</a></li><li><a href=\\"https://pypi.org/project/penaltyblog/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">penaltyblog</a></li></ul>"}]},{"id":"faq-submission","title":"Submission Specifics","type":"faq-segment","items":[{"question":"What happens if my code doesn\'t run?","answer":"Your project must execute \\"out of the box\\" without errors. Submissions that do not run properly will be disqualified. Make sure to test your co

2de thoroughly before submitting."},{"question":"What file formats are accepted for submissions?","answer":"Your submission should follow the provided GitHub template format, which includes Jupyter notebooks and Python scripts. All code should be submitted through the official pretalx submission portal with a link to your GitHub repository."},{"question":"How detailed does my submission need to be?","answer":"Make it as detailed as you like, but don\'t forget that it needs to be comprehensible too."},{"question":"Am I allowed to submit a Python package?","answer":"Yes, that is most certainly allowed. The Python package does not have to be contained within a single file. You are allowed to document <code>pip install my-package</code> in your submission \u2014 make sure to mention you created the package \u2014 and showcase its functionalities, and add the package to the requirements."},{"question":"Can I only submit a single file?","answer":"The requirements say you can put everything in the src folders, it says nothing about a single file. Only showcase your work with a main.py or submission.ipynb \u2014 the rest you can import from the src folder."}]}],"navTitle":"FAQ"},{"id":"contact","title":"Contact","subsections":[{"id":"contact-info","title":"Contact Information","type":"contact","items":[{"title":"Discord Community","body":"Join our Discord server for real-time updates, Q&A sessions, and community discussions. Sign up using the form above to receive all relevant information, including the link to the Discord server."},{"title":"Follow Updates","body":"Stay up to date with the latest announcements and developments.","links":[{"label":"PySport GitHub","url":"https://github.com/PySport"},{"label":"SkillCorner Website","url":"https://skillcorner.com"}]}]}],"navTitle":"Contact"}]}'),Nm=JSON.parse('{"slug":"analytics-cup2","name":"Analytics Cup 2.0","edition":"2.0","tagline":"Two sports. Two regions. Twice the opportunity.","partner":"Supported by SkillCorner and PySport","heroImage":"/images/optimized/analytics_cup_2_hero_desktop.webp","heroImageMobile":"/images/optimized/analytics_cup_2_hero_mobile.webp","heroRatio":"16 / 9","heroRatioMobile":"16 / 9","heroBg":"/images/optimized/hero-paris-boston_1920.webp","heroCta":{"label":"Register now!","url":"/analytics-cup/editions/analytics-cup2/register"},"heroBar":[{"icon":"calendar","heading":"9 Sep \u2013 18 Dec","lines":["Registration opens \u2192","Submission deadline"]},{"icon":"pin","heading":"Paris & Boston","lines":["17 Feb 2027 \u2013 EU Final","24 Feb 2027 \u2013 USA Final"]},{"icon":"layers","heading":"2 Datasets","lines":["Football","Basketball"]}],"submissionsFile":null,"sections":[{"id":"overview","title":"The Analytics Cup Returns","subsections":[{"id":"overview-intro","title":"More Data. More Community. More Impact.","type":"content-image","stacked":false,"paragraphs":["The first Analytics Cup brought the open-source football analytics community together to explore SkillCorner data, develop original ideas and present six outstanding projects at the final in Paris.","The winning project, Amar Shah\'s <strong>Simulated Annealing for Positional Optimisation</strong>, has since been developed into a module within the <a href=\\"https://databallpy.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">DataballPy</a> Python package, making the work available for the wider analytics community to use and build upon.","Now the challenge returns as <strong>Analytics Cup 2.0</strong>. This second edition introduces a new Basketball dataset alongside Football, plus separate Europe and USA competitions designed to bring more of the global sports analytics community together. Both competitions will culminate in a live regional final in February 2027."],"image":"/images/optimized/analytics_cup_winner_amar_shah.webp","link":{"label":"Watch the 2026 finalist presentations","url":"/analytics-cup/videos"},"caption":"Amar Shah after winning the first Analytics Cup"},{"id":"at-a-glance","title":"Analytics Cup 2.0 at a Glance","type":"bullets-bold","items":[{"label":"Two sports:","detail":"Choose between Football and Basketball data, or try both."},{"label":"Two regional competitions:","detail":"Enter the Europe or USA edition, choose one."},{"label":"Two live finals:","detail":"Selected finalists will present their work in Paris or Boston to a panel of industry experts."},{"label":"Up to two people per entry:","detail":"Take part individually or collaborate as a pair, sign-ups are individual. Join Discord to find a partner!"}]},{"id":"choose-challenge","title":"Choose Your Challenge","type":"two-column","intro":"There are no fixed tracks in Analytics Cup 2.0. We want participants to follow their curiosity and use the data to develop an original piece of analysis, research, methodology, visualisation or practical tool.\\n\\nYou are free to explore any question that interests you. To encourage projects with practical value for teams and practitioners, we have identified one real-world theme for each sport. Either dataset can be entered in either regional competition. Your sport does not determine your region.","columns":[{"title":"Football: Defensive Positioning","question":"How can tracking and contextual data help us better understand the way players and team

2s defend?","paragraphs":["Explore team shape, spacing, pressure, compactness, marking, defensive decision-making or another question that could help analysts and coaches evaluate defensive performance."]},{"title":"Basketball: Shot Quality","question":"What makes one shot better than another?","paragraphs":["Use tracking and contextual data to explore how player positioning, defensive pressure, movement, spacing and game context influence shot selection and shot quality."]}]},{"id":"regions","title":"Europe or USA. The Choice is Yours.","type":"two-column","intro":"Analytics Cup 2.0 features two separate regional competitions. The format is designed to increase participation across different time zones and create more opportunities for finalists to present their work to industry professionals in person.\\n\\nEntrants can choose either competition, regardless of where they live. However, you may only enter one region and should be willing and able to travel to its regional final if selected.\\n\\nSelected finalists will present their projects to a panel of industry experts, including representatives from SkillCorner, PySport, and elite Football and Basketball organisations.","columns":[{"title":"Europe Edition","items":["Regional final: 17 February 2027","Location: Paris, France"]},{"title":"USA Edition","items":["Regional final: 24 February 2027","Location: Boston, Massachusetts"]}]}],"navTitle":"Overview"},{"id":"datasets","title":"Datasets","subsections":[{"id":"dataset-football","title":"Football","type":"dataset-card","name":"Football","paragraphs":["The Football challenge uses SkillCorner\'s <strong>Australia A-League 2024/25 dataset</strong>, providing access to multiple layers of data for analysis and research."],"items":["Season-level aggregated Physical Data from 175 games","20 games of XY Tracking Data including 10 <strong>new</strong> games.","Game Intelligence Dynamic Events for those 10 games","Two games of Body Pose Data (<strong>new</strong>)","Supporting documentation, tutorials and visualisation tools"],"cta":{"label":"Explore the Football data","url":"https://github.com/SkillCorner/opendata"}},{"id":"dataset-basketball","title":"Basketball","type":"dataset-card","name":"Basketball","paragraphs":["The Basketball challenge uses SkillCorner\'s <strong>Liga Endesa ACB dataset 2025/2026</strong>, providing access to multiple layers of data for analysis and research."],"items":["Season-level aggregated Dynamic Events data for shots, picks and drives from 327 games","10 games of XY Tracking Data","Game Intelligence Dynamic Events for those 10 games","Supporting documentation"],"cta":{"label":"Explore the Basketball data","url":"https://github.com/SkillCorner/opendata-basketball"}}],"navTitle":"Datasets"},{"id":"key-dates","title":"Key Dates","subsections":[{"id":"timeline","title":"Timeline","type":"timeline","dates":[{"date":"9 Sep 2026","label":"Challenge opens - register as an individual","icon":"flag"},{"date":"18 Dec 2026","label":"Deadline for submitting entries - submit as an individual or as a pair","icon":"clock"},{"date":"8 Jan 2027","label":"Finalists announced","icon":"star"},{"date":"17 Feb 2027","label":"Europe Final - Paris","icon":"trophy"},{"date":"24 Feb 2027","label":"USA Final - Boston","icon":"trophy"}],"image":"/images/optimized/analytic_cup_finals2_1600.webp"}],"navTitle":"Dates"},{"id":"competition","title":"Competition","subsections":[{"id":"the-final","title":"The Final","type":"content-image","paragraphs":["Analytics Cup 2.0 culminates in a live regional final. Selected finalists travel to Paris or Boston to present their projects to a panel of industry experts from football, basketball and sports analytics.","It is a chance to share your work with the people who care most about it, receive expert feedback, and connect with the broader sports analytics community."],"image":"/images/optimized/analytic_cup_finals_1600.webp"},{"id":"finalists-prizes","title":"Finalists and Prizes","type":"prizes","intro":"The Analytics Cup is designed to reward strong ideas and help the best open-source projects create value beyond the competition.","items":[{"icon":"finals","title":"Regional Finals","detail":"Six finalists in each region will be invited to present, in front of peers and experts, in <strong>Paris</strong> or <strong>Boston</strong>."},{"icon":"award","title":"Reward","detail":"The six selected submissions in each region each receive <strong>\u20ac500</strong> (Europe) or <strong>$500</strong> (USA).","note":"One reward per submission, regardless of team size. It can be put towards travel to the regional final or spent as the recipient chooses."},{"icon":"grant","title":"Open Source Grant & Award","detail":"The <strong>Regional Winners</strong> receive a <strong>\u20ac1,500 / $1,500</strong>

2 grant to support its conversion into a Python package, a functional pull request to an existing Python package or another open-source project.","note":"The grant will be released when the agreed open-source deliverable is completed."}]},{"id":"how-to-enter","title":"How to Enter","type":"steps","items":["Choose your region: Register for either the Europe or USA competition. You cannot enter both regions.","Choose your sport: Select the Football or Basketball dataset. You may submit a separate entry using the other dataset, but it must be entered in the same region.","Enter individually or as a pair: Entries can be submitted by one person or a team of two.","Build your project: Use the data to investigate a meaningful question, develop a new method or create a practical tool. You can follow the suggested real-world theme or pursue an original idea of your own.","Submit your entry: Provide your completed project and supporting materials by 18 December 2026. Full submission requirements will be included in the competition rules.","Present at the regional final: Selected finalists will be invited to Paris or Boston to present their work live to the judging panel."]}],"navTitle":"Competition"},{"id":"rules","title":"Rules","subsections":[{"id":"rules-eligibility","title":"Eligibility","type":"content","paragraphs":["The Analytics Cup is open to anyone worldwide, including students, independent analysts and industry professionals. Entries can be submitted by individuals or teams of up to two people.","You must choose either the Europe or USA regional competition. You cannot enter both regions. Within your chosen region you may submit one Football entry and one Basketball entry, each as a separate submission.","Remote talks are <strong>not</strong> accepted. Before submitting, make sure you are able to attend the event in Boston or Paris in person. Travel and accommodation are not reimbursed, though each selected submission receives a \u20ac500 / $500 award (one per submission) that can be put towards travel costs.","<ul><li><strong>Individuals or pairs:</strong> individuals or teams of two people may enter. Each participant should sign up individually; submissions are made per team (or individual).</li><li><strong>Employee restriction:</strong> employees of SkillCorner or PySport may participate, but are not eligible for prizes or for presenting at one of the final events.</li></ul>"]},{"id":"rules-submission","title":"Submission Requirements","type":"steps","items":["The submission must contain substantial new work created specifically for the Analytics Cup. Pre-existing libraries, frameworks, open-source projects and general-purpose code may be used, provided they are appropriately licensed and disclosed. Previously completed projects may not simply be resubmitted or lightly adapted.","The project must use only the SkillCorner dataset provided for this event, and/or prior Analytics Cups. The use of additional data (e.g. video, or additional matches of (SkillCorner) tracking and event data obtained outside of this competition) will lead to immediate disqualification. Finalists may receive additional SkillCorner data for Australia A-League 2024/25 dataset or Liga Endesa ACB dataset 2025/2026, under a EULA, to further their project between the finalist announcement (8 January) and the final event (17 or 24 February).","The submitted code and analysis must be reproducible without proprietary software (e.g. no Excel, Tableau, PowerBI).",{"text":"Submissions consist of:","items":["A YouTube video of at most one minute summarising and elevator-pitching your project, presented and voiced by you or your teammate.","A publicly available GitHub repository containing <em>all</em> resources, files and code relevant to the project (except for the data), under an open-source licence. The project should work out of the box. The repository should include a LICENSE.md file. See <a href=\\"https://www.tldrlegal.com/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">tldrlegal.com</a> for more information.","A README.md file of up to 1000 words, with a maximum of two figures or tables in total, in any combination, supplementing your one-minute pitch. It must include sufficient documentation to reproduce the results, including instructions on how to run the project in a clean environment."]}]},{"id":"judging","title":"Reviewing","type":"content","paragraphs":["Entries will be reviewed by a panel of experts from sports, data and open-source analytics. Strong projects will combine a clear question with thoughtful use of the available data and a result that others can understand, use or build upon."]},{"id":"rules-judging","title":"Criteria","type":"judging","criteria":[{"label":"Relevance","weight":"20%","detail":"Does the project address a meaningful sporting question or real-world problem that could help analysts, coaches or the wider sports community?"},{"label":"Methodology","weight":"20%","detail":"Is the analysis technically s

2ound, transparent and appropriate for the question?"},{"label":"Originality","weight":"20%","detail":"Does it introduce a fresh idea, approach or application?"},{"label":"Communication","weight":"20%","detail":"Is the work presented clearly and supported by effective evidence or visualisation?"},{"label":"Open-source potential","weight":"20%","detail":"Can others reproduce, reuse or develop the work further?"}],"images":["/images/optimized/jury1.webp","/images/optimized/jury2.webp","/images/optimized/jury3.webp"],"mobileImage":"/images/optimized/jury2.webp"},{"id":"rules-open-source","title":"Open Source Requirements","type":"content","paragraphs":["Analytics Cup is built around open collaboration and reproducible work. All submissions must use an open-source licence (MIT, Apache 2.0, or similar) and be submitted via a public repository. Any submitted work must remain open-source in perpetuity.","The winning entry in each region receives a grant to convert their project into a (Python) package or a functional pull request to an existing open-source package. The grant is released upon completion of the agreed deliverable."]},{"id":"rules-conduct","title":"Code of Conduct","type":"content","paragraphs":["All participants are expected to maintain professional standards throughout the competition:","<ul><li>Respectful and inclusive behaviour</li><li>No harassment, discrimination or inappropriate conduct</li><li>Constructive feedback and collaboration</li><li>Professional communication in all channels</li></ul>"]},{"id":"rules-ip","title":"Intellectual Property","type":"content","paragraphs":["<ul><li>Participants retain ownership of their original contributions</li><li>All submissions must use open-source licences</li><li>SkillCorner retains rights to the provided datasets and may use submissions for promotional purposes</li><li>By participating, you grant permission to feature your work in case studies and presentations</li><li>Participants are responsible for ensuring they have the necessary rights and permissions to submit and open-source their work, including any permissions required from an employer, university or other third party</li></ul>"]},{"id":"rules-disqualification","title":"Disqualification","type":"content","paragraphs":["Participants may be disqualified for:","<ul><li>Violating these rules or the Code of Conduct</li><li>Submitting plagiarised or non-original work</li><li>Providing false information during registration</li><li>Attempting to manipulate the reviewing process</li><li>Late submission after the deadline</li><li>Submitting work that does not execute or run out of the box</li><li>Using additional data (e.g. video, or additional (SkillCorner) tracking data)</li></ul>"]},{"id":"rules-contact","title":"Contact and Support","type":"content","paragraphs":["For questions about these rules or the competition:","<strong>Discord:</strong> sign up to receive a link to join our official Analytics Cup Discord server.","Rule clarifications and updates will be posted on the Discord server and the website."]},{"id":"rules-changes","title":"Rule Changes","type":"content","paragraphs":["PySport may clarify or amend these rules where reasonably necessary. Material changes will be published on the competition website and communicated to registered participants. Changes will not be applied retroactively in a manner that unfairly disadvantages participants."]}],"navTitle":"Rules"},{"id":"register","title":"Register","subsections":[{"id":"register-form","title":"Register for Analytics Cup 2.0","type":"hubspot-form","portalId":"26560301","formId":"b9a8f945-bf8f-41df-8df8-07a71df20b0e","region":"eu1"}],"navTitle":"Register"},{"id":"resources","title":"Resources","navTitle":"Resources","subsections":[{"id":"resources-list","title":"Resources","type":"content","paragraphs":["A non-exhaustive set of open-source tools and references to get you started. You are free to use anything else you like.","<strong>Working with the data</strong><ul><li><a href=\\"https://kloppy.pysport.org/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">kloppy</a> - load and standardise tracking and event data</li><li><a href=\\"https://databallpy.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">databallpy</a> - synchronise and analyse football tracking data</li><li><a href=\\"https://floodlight.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">floodlight</a> - sports data analysis toolkit</li></ul>","<strong>Visualisation</strong><ul><li><a href=\\"https://github.com/SkillCorner/skillcornerviz\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">skillcornerviz</a> - SkillCorner\'s own visualisation library</li><li><a href=\\"https://mplsoccer.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">mplsoccer</a> - football pitches and charts for matplotlib</li><li><a href=\\"https://github.com/mlsedigital/mplbasketball\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">mplbasketball</a> - basketball courts for matplotlib</li></ul>","<strong>Models and methods</strong><ul><li><a href=\\"https://github.com/ML-KULeuven/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">ML-KULeuven</a> - research code from the KU Leuven machine learning group</li><li><a href=\\"https://github.com/hyunsungkim-ds/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">Hyunsung Kim</a> - trajectory and tracking data research</li><li><a href=\\"https://github.com/devinpleuler/analytics-handbook\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">Soccer Analytics Handbook</a> - notebooks and primers</li><li><a href=\\"https://unravelsports.readthedocs.io/en/latest/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">unravelsports</a> - graph neural networks for tracking data</li><li><a href=\\"https://github.com/USSoccerFederation/ssac26_visual_exploratory_behavior\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">Visual Exploratory Behaviour</a> - scanning and head-orientation analysis from the U.S. Soccer Federation</li></ul>","<strong>Previous edition</strong><ul><li><a href=\\"/analytics-cup/submissions\\">Analytics Cup 1.0 submissions</a> - every entry from the first edition, with code and presentations</li></ul>"]}]},{"id":"faq","title":"FAQ","subsections":[{"id":"faq-general","title":"General Questions","type":"faq-segment","items":[{"question":"Who can enter Analytics Cup 2.0?","answer":"The competition is open to anyone worldwide, including students, independent analysts and industry professionals."},{"question":"Can I enter as part of a team?","answer":"Yes. You can enter individually or as a pair. The maximum team size is two people."},{"question":"Do I need to live in Europe or the USA to enter that region?","answer":"No. You can choose either regional competition regardless of where you live. You should, however, be prepared to travel to Paris or Boston if selected as a finalist."},{"question":"Can I enter both regional competitions?","answer":"No. You must choose either the Europe or USA edition and submit all of your entries within that region."},{"question":"Can I use both datasets?","answer":"Yes. You can submit one Football entry and one Basketball entry. Each requires a separate submission, and both must be entered in the same regional competition."},{"question":"Do I have to follow the suggested theme?","answer":"No. Defensive Positioning in Football and Shot Quality in Basketball are intended to encourage work on real-world problems, but participants are free to explore another question using their chosen dataset."}

2,{"question":"Do finalists have to attend in person?","answer":"Selected finalists are expected to travel to their chosen regional final and present their work in person to the judging panel and audience of industry experts."},{"question":"Is travel covered?","answer":"The top six participants in each region will receive \u20ac500 or $500, depending on their competition, which may be used to subsidise travel or spend as they choose. Participants are responsible for arranging their own travel and accommodation."},{"question":"What can I submit?","answer":"Participants can create a piece of analysis, research, a new methodology, a visualisation, a practical tool or another original application of the data. The work must be new and not something previously developed for other purposes. Full technical and submission requirements will be provided in the competition rules."},{"question":"How do I submit?","answer":"Submissions are made through <a href=\\"https://submissions.analytics-cup.org\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">submissions.analytics-cup.org</a>. Please make sure you are <a href=\\"#acp-register\\">registered</a> before submitting."},{"question":"Does my project need to be open source?","answer":"Analytics Cup is built around open collaboration and reproducible work. 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Contact and Support"}),(0,i.jsxs)("div",{className:"rule-content",children:[(0,i.jsx)("p",{children:"For questions about these rules or the competition:"}),(0,i.jsxs)("p",{children:[(0,i.jsx)("strong",{children:"Discord:"})," Sign up to receive a link to join our official Analytics Cup Discord server"]}),(0,i.jsx)("p",{children:"Rule clarifications and updates will be posted on the Discord server and website."})]})]})]}),(0,i.jsxs)("div",{className:"rules-footer text-center mt-5 pt-4 border-top",children:[(0,i.jsxs)("p",{children:[(0,i.jsx)("strong",{children:"Last Updated:"})," October 10th 2025"]}),(0,i.jsx)("p",{children:"These rules are subject to change. Participants will be notified of any updates."})]})]})})})})]});class Wm{constructor(e,t){this.question=e,this.answer=t}}class Km{constructor(e,t){this.title=e,this.items=t}}const Ym=e=>{let{faqItem:t,itemNumber:n,isOpen:r,onToggle:o}=e;return(0,i.jsxs)("div",{className:"faq-item mb-3",children:[(0,i.jsxs)("button",{className:"faq-question ".concat(r?"active":""),onClick:o,"aria-expanded":r,children:[(0,i.jsxs)("span",{children:[(0,i.jsxs)("strong",{children:[n,"."]})," ",t.question]}),(0,i.jsx)("span",{className:"faq-icon",children:r?"\u2212":"+"})]}),(0,i.jsx)("div",{className:"faq-answer ".concat(r?"open":""),children:(0,i.jsx)("div",{className:"faq-answer-content",children:t.answer})})]})},$m=()=>{const[e,t]=(0,r.useState)(null),n=[new Km("General Questions",[new Wm("Can I submit as a team?",(0,i.jsx)("p",{children:"No, only individual submissions are allowed. Each participant must work independently on their project."})),new Wm("What are the important dates?",(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)("p",{children:"Key dates for the competition:"}),(0,i.jsxs)("ul",{children:[(0,i.jsxs)("li",{children:[(0,i.jsx)("strong",{children:"October 2025:"})," Competition Kick-Off"]}),(0,i.jsxs)("li",{children:[(0,i.jsx)("strong",{children:"December 28th 2025:"})," Submission Deadline"]}),(0,i.jsxs)("li",{children:[(0,i.jsx)("strong",{children:"January 8th 2026:"})," Results Announced"]}),(0,i.jsxs)("li",{children:[(0,i.jsx)("strong",{children:"February 5th 2026:"})," Invite-only Paris Finale at SkillCorner HQ"]})]})]})),new Wm("How do I submit my project?",(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)("p",{children:"Follow these steps:"}),(0,i.jsxs)("ol",{children:[(0,i.jsxs)("li",{children:["Use the official submission template for your chosen track:",(0,i.jsxs)("ul",{children:[(0,i.jsx)("li",{children:(0,i.jsx)("a",{href:"https://github.com/PySport/analytics_cup_analyst",target:"_blank",rel:"noopener noreferrer",children:"Analyst Track Template"})}),(0,i.jsx)("li",{children:(0,i.jsx)("a",{href:"https://github.com/PySport/analytics_cup_research",target:"_blank",rel:"noopener noreferrer",children:"Research Track Template"})})]})]}),(0,i.jsxs)("li",{children:["Submit your final project at ",(0,i.jsx)("a",{href:"https://pretalx.pysport.org",target:"_blank",rel:"noopener noreferrer",children:"pretalx.pysport.org"})]})]})]})),new Wm("Can I submit to both tracks?",(0,i.jsx)("p",{children:"Yes! You can submit one project per track (Analyst and Research), giving you two opportunities to participate."})),new Wm("What tools can I use?",(0,i.jsx)("p",{children:"You must use open-source tools only. This means no proprietary software like Excel, Tableau, PowerBI, etc. Your project should be reproducible using freely available open-source tools and libraries."})),new Wm("What license should I use?",(0,i.jsx)("p",{children:"Your submission must use an open-source license such as MIT, Apache 2.0, or similar permissive licenses."})),new Wm("How will projects be judged?",(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)("p",{children:"Submissions are evaluated on four equally weighted criteria:"}),(0,i.jsxs)("ul",{children:[(0,i.jsxs)("li",{children:[(0,i.jsx)("strong",{children:"Innovation (25%):"}

2)," Novel approaches to sports analytics problems"]}),(0,i.jsxs)("li",{children:[(0,i.jsx)("strong",{children:"Technical Quality (25%):"})," Code quality, architecture, and documentation"]}),(0,i.jsxs)("li",{children:[(0,i.jsx)("strong",{children:"Practical Impact (25%):"})," Real-world applicability and value to the sports community"]}),(0,i.jsxs)("li",{children:[(0,i.jsx)("strong",{children:"Open Source Potential (25%):"})," Likelihood of becoming a valuable open-source tool"]})]})]})),new Wm("Do I need to use the SkillCorner data?",(0,i.jsx)("p",{children:"Yes, your submission must demonstrate use of the provided SkillCorner tracking data. This is a core requirement of the competition."})),new Wm("Can I use code from other projects?",(0,i.jsx)("p",{children:"You must submit original work. While you can use open-source libraries and frameworks, the core analytical work and implementation must be your own. Plagiarized work will result in disqualification. Research should be properly cited."})),new Wm("What if I miss the deadline?",(0,i.jsx)("p",{children:"Late submissions will not be accepted and will result in disqualification. Make sure to submit before midnight on December 28th 2025."})),new Wm("How do I get support during the competition?",(0,i.jsx)("p",{children:"After sign-up you received a link to the Analytics Cup Discord server where you can ask questions, get clarifications, and connect with other participants."})),new Wm("Who owns the intellectual property of my submission?",(0,i.jsx)("p",{children:"You retain ownership of your original contributions. However, your submission must use an open-source license, and by participating, you grant permission for SkillCorner and PySport to feature your work in case studies and promotional materials."})),new Wm("Is there any way to get film associated with the tracking data?",(0,i.jsx)("p",{children:"No. "}))]),new Km("Open Source Projects",[new Wm("What is the Open Source Grant?",(0,i.jsx)("p",{children:"The winner receives \u20ac1,500 to develop their project into a fully-fledged Python package or significant pull request to an existing open-source project. The grant is released upon successful completion of the open-source deliverable."})),new Wm("What qualifies as a good open-source deliverable?",(0,i.jsx)("p",{children:"A good open-source deliverable should include comprehensive documentation, unit tests, clear installation instructions, and follow best practices for Python package development. It should be useful to the broader sports analytics community and maintainable in the long term."})),new Wm("How do I get started with the Dynamic Events, Phases of Play and Physical Data?",(0,i.jsxs)("p",{children:["You can follow the tutorial on ",(0,i.jsx)("a",{href:"https://github.com/SkillCorner/opendata/tree/master/resources/Tutorials",target:"_blank",rel:"noopener noreferrer",children:"provided by SkillCorner."})]})),new Wm("How do I get started with the tracking data?",(0,i.jsxs)("p",{children:["You can follow the tutorial on ",(0,i.jsx)("a",{href:"https://github.com/SkillCorner/opendata/blob/master/resources/getting-started-skc-tracking-kloppy.ipynb",target:"_blank",rel:"noopener noreferrer",children:"Getting Started with Kloppy and tracking data."})]})),new Wm("Are there any existing open-source football analytics work I can use and draw inspiration from?",(0,i.jsxs)(i.Fragment,{children:[(0,i.jsxs)("p",{children:["Below is a ",(0,i.jsx)("strong",{children:"non-exhaustive"})," list of publicly available open source football analytics tools. Feel free to use these as inspiration, build on-top of these tools or develop them further. We advise Analytics Cup participants to not replicate existing work, but rather use it to build new open source tools instead."]}),(0,i.jsx)("p",{children:(0,i.jsx)("strong",{children:"Plotting"})}),(0,i.jsxs)("ul",{children:[(0,i.jsxs)("li",{children:[(0,i.jsx)("a",{href:"https://mplsoccer.readthedocs.io/en/latest/",target:"_blank",rel:"noopener noreferrer",children:(0,i.jsx)("code",{children:"mplsoccer"})})," and ",(0,i.jsx)("a",{href:"https://matplotlib.org/",target:"_blank",rel:"noopener noreferrer",children:(0,i.jsx)("code",{children:"matplotlib"})}

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