PySport supports the Sports Analytics community, mainly with open-source and sharing knowledge.
Joined July 2012
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PySport retweeted
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
PySport retweeted
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
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 retweeted
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 retweeted
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.
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
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
sites.pitt.edu/~kpele/the_sp… [1/2]
Go for it!
#AnalyticsCup
PySport retweeted
awesome analysis by luke, using basketball data from skillcorner. analytics cup is open and covers basketball and football - go try stuff, have fun!
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👇
This looks very cool!
Check analytics-cup.org to find out how to join the competition!
#AnalyticsCup
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👇
Great to see you joining the competition Sidharth!
#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 !
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
Marc is in! Who else is joining? 👀
Well, well. Just registered for the @SkillCorner x @PySportOrg Analytics cup. This could be fun ⚽️
PySport retweeted
Super exciting pose data available 🤩🤩
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.
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
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.
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.
𝐝𝐚𝐭𝐚𝐛𝐚𝐥𝐥𝐩𝐲 𝐇𝐨𝐰 𝐓𝐨: databallpy.readthedocs.io/en…
𝐝𝐚𝐭𝐚𝐛𝐚𝐥𝐥𝐩𝐲 𝐆𝐢𝐭𝐇𝐮𝐛: github.com/Alek050/databallp…
𝐤𝐥𝐨𝐩𝐩𝐲: kloppy.pysport.org
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!