PySport

PySport supports the Sports Analytics community, mainly with open-source and sharing knowledge.

[PySport @PySportOrg]

Did you know we keep a list of open-source sports analytics projects? And that we just published an update?

You are now able to find all new added projects! And find all projects with recent commits.

You can find it here: https://t.co/tmz2ob4FcK

#sportsanalytics #pysport

[Basketmática @basketmatica]

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

[PySport @PySportOrg]

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? https://t.co/2zkSP6iH9S

[lluís @lluisnavarro_]

Lo más chulo en lo que hemos podido trabajar. Mucho por hacer, pero mola muchísimo como primer toque de la idea

Agradecer a @SkillCorner por la disposición a los datos y a @PySportOrg por organizar algo tan guay

[Last Number Data @LN_Data]

Utilizando el Open Data de @SkillCorner para visualizar cuál es el impacto de superar o no el show a la probabilidad de encontrar un tiro de calidad.

Dejamos un ejemplo de cada situación en este tweet.

Interesantísimo el material para preparar la #AnalyticsCup con @PySportOrg.

[PySport @PySportOrg]

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.

[PySport @PySportOrg]

Also @databallr is joining the #AnalyticsCup 🎉

Want to part of the competition? Check https://t.co/2zkSP6iH9S

[databallr @databallr]

We'll be playing full AI hoops by the end of 2027.

@SkillCorner

[PySport @PySportOrg]

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

[Kostas Pelechrinis @kpelechrinis]

Finally public tracking data for European hoops; thanks @SkillCorner. Only 10 games but allowed me to look at fun (imo) idea I always had. Thinking of spacing through ideas from functional connectivity of brain regions, so I tried out a few things

https://t.co/HztoTM9cz1 [1/2]

[PySport @PySportOrg]

Go for it!

#AnalyticsCup

[Baskeroseno Scouting @baskeroseno]

📊 I may or may not enter Analytics Cup by @PySportOrg with @SkillCorner data...

[rahul @withqwerty]

awesome analysis by luke, using basketball data from skillcorner. analytics cup is open and covers basketball and football - go try stuff, have fun!

[PySport @PySportOrg]

This looks very cool!

Check https://t.co/2zkSP6iH9S to find out how to join the competition!

#AnalyticsCup

[Luke @LukeBlomm]

Used @skillcorner's open ACB tracking to ask one question: can you measure "advantage" as a number, every 0.2 s?

Here's a drive collapsing the defense. The bright space is court the offense reaches first and would score from. Watch where it goes.

Write-up + interactive replay👇

[PySport @PySportOrg]

Great to see you joining the competition Sidharth!

#AnalyticsCup

[Sidharth Suresh @Analyst_Sid7]

@marclamberts @SkillCorner @PySportOrg Thanks for sharing. Registered as well. 👊

[PySport @PySportOrg]

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 https://t.co/2zkSP6iH9S

#AnalyticsCup

[PySport @PySportOrg]

Super interesting to see an EPV/VAEP model applied to basketball.

Want to join too? Check out https://t.co/2zkSP6iH9S !

[mof @Yim0e]

Think I'm gonna work on an EPV/VAEP model using the data from @SkillCorner 's analytics cup. this is what i have right now, still kinks to work out

[PySport @PySportOrg]

Marc is in! Who else is joining? 👀

[Marc Lamberts @marclamberts]

Well, well. Just registered for the @SkillCorner x @PySportOrg Analytics cup. This could be fun ��️

[mplsoccer_dev @mplsoccer_dev]

Super exciting pose data available 🤩🤩

[PySport @PySportOrg]

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.

https://t.co/dZLLv8XZQP

[PySport @PySportOrg]

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.

[PySport @PySportOrg]

Work with football data, including body pose data, or basketball data to turn new ideas into open-source projects with real value.

The competition is open to anyone interested in working with sports data.

[PySport @PySportOrg]

𝐝𝐚𝐭𝐚𝐛𝐚𝐥𝐥𝐩𝐲 𝐇𝐨𝐰 𝐓𝐨: https://t.co/bhu2JO4z4K

𝐝𝐚𝐭𝐚𝐛𝐚𝐥𝐥𝐩𝐲 𝐆𝐢𝐭𝐇𝐮𝐛: https://t.co/G1xCS4N4pP

𝐤𝐥𝐨𝐩𝐩𝐲: https://t.co/c94PEjUg6v

[PySport @PySportOrg]

⚽ 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.

[PySport @PySportOrg]

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!