Big Data Sports - David Fombella

Ya está disponible la versión 1.1! Ahora con el código adaptado sobre la base del de @adnaaan433, se pueden generar reportes individuales de las acciones del jugador en el partido elegido usando datos de Scoresway y 365Scores. eventingraports.streamlit.app Dejo algunos ejemplos. En el comentario vuelvo a dejar un video explicativo.

Introducing expected Pose xP! 🧵 For decades, we’ve tracked where the ball goes. At @AkashicLabsLTD , we’re tracking the athlete who put it there. Introducing Expected Pose (xP): The first 3D biomechanical framework designed to decode the 'Strike Signature.'

Big update: datafc v2.0.0 is live. 18 new functions, 32 in total. Sync & async. Cached. No browser needed. If you work with #football data in #Python, this one's for you. pip install --upgrade datafc 🔗 github.com/urazakgul/data… 🔗 pypi.org/project/datafc/

A breakdown of scenarios for next season 😳 #lcfc 💙🦊

At the start of the 2025/26 season, @WestHam adopted Gradient Sports Player Grades to support their decision-making. We sat down with Head of Technical Analysis & Recruitment, Maximilian Hahn, to hear how Gradient Player Grades have become part of the process at West Ham.

here's a thread of all kinds of football viz that i have come across (so far!). some of these were experiments by people starting out, some are from the big boys, some are from people on here, some of these are brilliant, and some are okay, but think about what you like, dislike and learn (or don't learn!) from each one, and you'll start to appreciate more how data can be beautiful

Se llama FreeMoCap y es un sistema de captura de movimiento (mocap) 3D "markerless", es decir, no requiere trajes especiales ni marcadores físicos adheridos al cuerpo. Open source y gratuito para investigadores, animadores, atletas y creadores de todo el mundo.

Curious about what a AI actually "sees" when it watches sport? -Player skeletons -Ball trails -Court geometry All reconstructed from data points alone!

so this is where all the football data comes from

🔴Introducing Build-Up Tempo Networks Bored of same old passing networks? Have a look at Team Tempo Networks to understand a team's build-up speed and tendencies across the pitch. With this, we try to visualise the flow of the ball within a team's setup while also adding the speed of circulation into context. Features: -You can analyse which player passes at what speed in which direction (or to which teammate). Arrows on the tubes show direction. -The table consists of a gold mine of information. The 'Drawn To' column shows the teams tendency to move the ball towards that teammate. It shows the number of times a player carries and then passes to the specific player. -Roles attempt to categorize players with respect to their tendencies. Recyclers, connectors, direct players. -TTRP shows the average time a player spends on the ball before releasing it. A work in progress. I am trying to expand on the idea of Player Synergies and Tempo Control to come up with the best way of quantifying and visualising it. Feedback and suggestions appreciated.

on throw-ins we find the Rory Delap Trap Stoke City were a below average team at scoring from throw-ins despite Delap's incredible arms. Instead of developing throw-in specific routines, they played for easily saved direct headers, scoring just 2 of 55 over three seasons

Hace años la academia del Dépor establece un índice madurativo basado en el mes de nacimiento y en el adelanto/retardo madurativo: Se clasifican jugadores en SOBRADOS, COMPETIDORES, SUFRIDORES Y SUPERVIVIENTES Como se empieza a utilizar en otros clubes, lo explicamos bien 👇👇

Last time I tested something by clustering the 30 seconds before every shot. This time I traced the full sequence behind every goal conceded. Each category defined with clear thresholds. Details in the viz.

Últimamente esta cuenta es la que está dando los mejores tips de Claude Code. 10/10

Don’t judge a book by it’s cover 🤣🤣🤣

Day 9 is here! I have 18 cheat/crib sheets on different topics (and a few more in production), so I am sharing one each day on Twitter. Next up - The Angles Of Play The purpose of possession is to move & manipulate the opposition, whether a player is passing the ball or running with it. This one-page document defines the 8 options a player on the ball has when in possession. Make sure you are following me and turn on notifications so you don't miss a day

Agradecer una vez más a @SportsDataCamp y en especial a @davidrsaez @miguelbigdata @bigdatasport y resto de docentes, compañeros y conferenciantes por todo lo que he aprendido. 👋

Todos estamos locos cuando lo queremos implementar hasta que las cosas se aplican y tienen sentido. 1/ 🚨 Bio-banding en el @BrentfordFC ¿Sabías que en su academia los jugadores no se agrupan solo por edad, sino por maduración biológica? 👶➡️🧑 sportsmith.co/articles/bio-b…

Reminds me of @Paulmcg8's excellent graphic 👇

Gracias a @marca por este reportaje 🔝 Plaga de lesiones en el fútbol: pérdidas millonarias para los clubes y la salud - dailymotion.com/video/x9o04ei # vía @Dailymotion