La Analytics Cup 2.0, de @SkillCorner y @PySportOrg, incluye por primera vez una rama de baloncesto. El dataset público trae: · Tracking XY de 10 partidos de la Liga Endesa 25/26 · Eventos derivados del tracking: bloqueos directos, penetraciones, closeouts, distancia del defensor en cada tiro… · Agregados de tiros, penetraciones y bloqueos de 293 partidos de la temporada

We've already seen some very cool work using the @SkillCorner open data for the Analytics Cup. Want to share a demo, experiment or early result? Use the #AnalyticsCup hashtag so we can find and share it. Want to join the Analytics Cup? analytics-cup.org

Also @databallr is joining the #AnalyticsCup 🎉 Want to part of the competition? Check analytics-cup.org

Another great example of what you can do with the tracking data by @SkillCorner, provided for the #AnalyticsCup

This looks very cool! Check analytics-cup.org to find out how to join the competition! #AnalyticsCup

𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐂𝐮𝐩 𝟐.𝟎 𝐢𝐬 𝐡𝐞𝐫𝐞. 🇪🇺🇺🇸 Following the success of the first edition, @PySportOrg and @SkillCorner are inviting the analytics community to work with open-source sports data. Register now at analytics-cup.org #AnalyticsCup

Super interesting to see an EPV/VAEP model applied to basketball. Want to join too? Check out analytics-cup.org !

Marc is in! Who else is joining? 👀

Choose one of two regions, Europe or USA, and compete for the opportunity to present your work to industry experts at a live final in Paris or Boston. 𝐌𝐨𝐫𝐞 𝐃𝐚𝐭𝐚. 𝐌𝐨𝐫𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲. 𝐌𝐨𝐫𝐞 𝐈𝐦𝐩𝐚𝐜𝐭. analytics-cup.org

𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐂𝐮𝐩 𝟐.𝟎 𝐢𝐬 𝐡𝐞𝐫𝐞. 🇪🇺🇺🇸 Following the success of the first edition, @PySportOrg and @SkillCorner are inviting the analytics community to work with open-source sports data.

Many thanks to @unravelsports for this contribution, Miguel Vidal for testing and fine-tuning the implementation and to Alexander Oonk for the help and support with this successful integration!

⚽ 𝐊𝐥𝐨𝐩𝐩𝐲 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚𝐁𝐚𝐥𝐥𝐏𝐲 Another day, another big open-source football analytics announcement! 𝐝𝐚𝐭𝐚𝐛𝐚𝐥𝐥𝐩𝐲, a Python package to load, synchronize and analyze football tracking and event data, directly loads with 𝐤𝐥𝐨𝐩𝐩𝐲.

A special thanks to @Robert_Rogers_ , Thomas Walentin and @Flosch1006 at 𝐈𝐌𝐏𝐄𝐂𝐓, to Dries Deprest for his tremendous contribution, and to @p_robberechts, @mr_le_fox and @unravelsports for their support with this integration.

..., while also using sponsorship opportunities to grow the open source football analytics ecosystem and offer our volunteer developers a financial incentive to spend their valuable time developing and growing the industry's most valuable open-source package even further.

This is a sponsored 𝐊𝐥𝐨𝐩𝐩𝐲 release (v3.18.0) that sees 𝐏𝐲𝐒𝐩𝐨𝐫𝐭 integrate 𝐈𝐌𝐏𝐄𝐂𝐓 as a data provider within our 𝐊𝐥𝐨𝐩𝐩𝐲 Python package. github.com/ImpectAPI/open-da…

We’re excited to launch the 𝐒𝐤𝐢𝐥𝐥𝐂𝐨𝐫𝐧𝐞𝐫 𝐗 𝐏𝐲𝐒𝐩𝐨𝐫𝐭 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐂𝐮𝐩 - a hackathon-style challenge that will bring together the community to collaborate, compete, and innovate using open-source @SkillCorner data. 👉 Sign up pysport.org/analytics-cup

🔷 𝗸𝗹𝗼𝗽𝗽𝘆 𝘃𝟯.𝟭𝟳.𝟭 Yesterday, we pushed a new minor release (3.17.1) to fix some minor (yet annoying) bugs. 𝐑𝐞𝐥𝐞𝐚𝐬𝐞 𝐍𝐨𝐭𝐞𝐬: github.com/PySport/kloppy/re…

🔷 𝐏𝐲𝐒𝐩𝐨𝐫𝐭 𝐗 𝐏𝐲𝐃𝐚𝐭𝐚 𝐄𝐢𝐧𝐝𝐡𝐨𝐯𝐞𝐧 𝐂𝐚𝐥𝐥 𝐟𝐨𝐫 𝐏𝐫𝐨𝐩𝐨𝐬𝐚𝐥𝐬! 🔶 On December 9th @PydataEindhoven and @PySportOrg will organize 𝐏𝐲𝐃𝐚𝐭𝐚 𝐄𝐢𝐧𝐝𝐡𝐨𝐯𝐞𝐧 𝟐𝟎𝟐𝟓! 𝐌𝐨𝐫𝐞 𝐢𝐧𝐟𝐨: lnkd.in/eBGWKs3V

🤝 𝐈𝐌𝐏𝐄𝐂𝐓 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐏𝐲𝐒𝐩𝐨𝐫𝐭'𝐬 𝐟𝐢𝐫𝐬𝐭 𝐬𝐩𝐨𝐧𝐬𝐨𝐫! In a landscape dominated by proprietary tools and fragmented standards, we're excited to announce our partnership with @impect_official to support more open and interoperable football analytics.

🔷 𝐏𝐲𝐒𝐩𝐨𝐫𝐭 𝐗 𝐏𝐲𝐃𝐚𝐭𝐚 𝐄𝐢𝐧𝐝𝐡𝐨𝐯𝐞𝐧 𝟐𝟎𝟐𝟓 🔶 On December 9th @PydataEindhoven and PySport will once again join forces to host an incredible one day event! The Call for Proposals will follow soon, so if you have a cool project or idea brewing, stay tuned!