
David Fombella @davidfombella - Profesor Big Data Deportivo (#UCAM @bddeportivo). Aficionado al Real Oviedo
Alcobendas / Oviedo
Joined April 2012
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Big Data Sports - David Fombella retweeted
シャルケ公式のマッチデイの動画「Access ALL AREAS」に出ていた場面。スタッフルームと選手ロッカーのモニターで対戦相手バイエルンのラインナップを映していて、よく見ると各選手の「強み(プラス)」「弱み(マイナス)」が記載されている。
Big Data Sports - David Fombella retweeted
Introducing the wa-setpieces Python package! 📊⚽️🐍
This package cleans, manipulates and handles set piece data from Opta, StatsBomb or Impect into workable event data, aggregated data and set piece visualisations
Share with every set piece fanatic! 😁
waltzing-analytics.readthedo…
Football analytics is becoming infrastructure, not a side project.
The @FinancialTimes makes that shift tangible.
Data & analytics have grown to more than 3% of professional football job postings, while clubs such as Brighton, Newcastle and Man Utd have sharply increased hiring.
What interests me is that clubs aren't “using more data”, we passed that point years ago.
The change is organisational.
Recruitment analysts. Data scientists. Analytics engineers. Performance analysts. Data platforms. Models and internal tools built around decision-making.
And that changes where the competitive advantage can come from.
Having access to data is increasingly commoditised (Still expensive for normies). The harder part is building the infrastructure and people that can turn it into better football questions, repeatable workflows and ultimately better decisions.
The moat is moving from data access to data capability.
1/7 Standard xG ignores every dangerous chance that never becomes a shot.
A cross flashes across the six-yard box and the striker misses it by 10 cm: 0 xG.
A harmless 35-yard shot: >0 xG.
A recent paper tries to fix exactly this by modelling danger before the shot even exists.
Big Data Sports - David Fombella retweeted
Afternoon all 💙
stuff you don’t usually see on match day .
Big Data Sports - David Fombella retweeted
TransferMarkt Squad Value by league - It is eye opening to see the differences between the Premier League and everyone else.
Big Data Sports - David Fombella retweeted
La #velocidad en el #fútbol y su evolución en la carrera del futbolista:
La diferencia entre un buen jugador y uno de élite no es solo correr más rápido, sino mantener esa velocidad durante más años mediante #fuerza, potencia y una buena gestión de la carga.
#Sprint #speed
🤖 Made with AI
Big Data Sports - David Fombella retweeted
Aston Villa | Attacking Set Piece Analysis 2025/26
Fancy a break from the World Cup?
A Video analysis of Aston Villa’s Set Pieces in their Premier League and Europa League campaign
29 total goals scored
Phenomenal return from Austin MacPhee
A thread 🧵
@tacticlipfutbol
Big Data Sports - David Fombella retweeted
I’ve been really impressed by the Set Piece culture built at Castellon
The sort of dedication & attention to detail all clubs should be aspiring to achieve when it comes to set pieces
This is where the points are won, not by having magic routines but a change in mentality
Castellon Attacking Set Piece Analysis
19 goals scored from Set Pieces in La Liga Hypermotion
The most prolific set piece team in Spain
Great work by Set Piece coach @HoegeeRody 🇳🇱
A thread 🧵
@Effmatch animations
UTILIDADE PÚBLICA: para quem gosta de dados, estatísticas, e números, ou apenas gosta de Futebol, a FIFA está disponibilizando dados físicos e técnicos de todos os jogos da Copa do Mundo.
link: fifatrainingcentre.com/en/fi…
Big Data Sports - David Fombella retweeted
El @RealRacingclub lanza una plataforma de inteligencia deportiva pionera diseñada para un desarrollo integral y científico de la cantera con el objetivo de revolucionar la formación de talento en sus secciones inferiores
▪️Lo hace a través de Racing InnovAI, la división de innovación del Real Racing Club, un motor estratégico dedicado a la investigación, desarrollo e implementación de soluciones tecnológicas avanzadas en el ámbito deportivo
▪️Su objetivo principal es impulsar la profesionalización y la excelencia, aplicando la inteligencia artificial y el análisis de datos para optimizar cada faceta del desarrollo de los deportistas, siempre con un enfoque científico y basado en evidencia
▪️Dentro de este marco innovador, lanza INN360 como un ecosistema integral que redefine la gestión deportiva, ofreciendo un análisis multidisciplinario y sin precedentes de cada joven promesa. Desde el benjamín más joven hasta las categorías de formación previas al fútbol profesional, la plataforma integra y procesa de manera inteligente una vasta cantidad de datos: físicos, técnicos, nutricionales, psicológicos y médicos
▪️La plataforma INN360, desarrollada por Sebastián Ceria, director general de Racing InnovAI y máximo accionista del Racing, se estructura en torno a cinco pilares fundamentales que cubren todas las facetas del desarrollo del futbolista: metodología, preparación física, medicina, nutrición y psicología
▪️Cada uno de estos módulos está interconectado, proporcionando una visión integral del progreso del jugador. Por ejemplo, el módulo de metodología permite diseñar sesiones de entrenamiento basadas en la metodología del Real Racing Club, con más de 1.000 tareas estructuradas y un asistente de IA (INN360 Copilot) que sugiere ejercicios según los objetivos
▪️En el ámbito de la medicina, se realiza un seguimiento exhaustivo de lesiones y recuperaciones, mientras que nutrición monitoriza la ingesta y el gasto calórico. La psicología, a través de herramientas como el test CPRD, evalúa el estado mental y la motivación, aspectos cruciales para el rendimiento. Todo ello se complementa con informes detallados y paneles de análisis en tiempo real que transforman los datos en inteligencia accionable, pasando de una analítica descriptiva a una IA prescriptiva.
Big Data Sports - David Fombella retweeted
Difficult to overstate the shortcomings of even "modern" sports analytics relative to current AI/ML, pure math, stats, and computing capabilities.
Spatiotemporal tracking data that conceptualizes the field/pitch/court/rink as a 3-D coordinate plane and conceptualizes the players+ball as a network/graph are under a decade away from proving that many human-observed "principles" of how you're supposed to play soccer, basketball, hockey, etc. are simply laughably wrong.
Replying to @GoogleDeepMind
To map the pitch, TacticAI uses graph neural networks - treating all 22 players as individual nodes and their physical interactions as connections.
This allows the club's data science department to virtually drag and drop players to test different defensive setups in real time.
Big Data Sports - David Fombella retweeted
i'm building an AI soccer coach to improve my shooting
using:
- roboflow RF-DETR to detect the ball / net / player
- mediapipe to record body angles when striking the ball
- python to analyze and annotate the video
i'll also try adding a VLM into the pipeline for coaching feedback
i'm building a computer vision model to improve at soccer
now tracking shot speed, distance to net, and auto goal detection
using:
- roboflow RF-DETR for core CV tasks
- python for video annotation
- gemini 3.5 flash for coding assistance
next i'll take more footage from different angles to improve the model accuracy
Big Data Sports - David Fombella retweeted
You've been watching football wrong your entire life.
This 40-minute Databricks talk on how LaLiga uses data is the proof.
The goals and assists you obsess over are the least interesting numbers on the pitch.
By fusing tracking data (every player's position, many times a second) with eventing data (every action on the ball), LaLiga measures the invisible game space created, defensive lines pulled apart, the value of a run nobody passed to.
The best player in a match is often the one who never touched the scoresheet.
Pair it with article by Roan and you are good.
Once you see the game as data, you can't unsee it.
Big Data Sports - David Fombella retweeted
🎯Video Analysis
“You don’t need to give them more evidence than 1 clip, they believe you”
📱 Send it to their phone let them watch in their own time.
Brilliant from Austin MacPhee.
Big Data Sports - David Fombella retweeted
Adapted my tennis AI pipeline for pickleball 🎾
-Audio based shot detection
-Top down court visualization
-Shot attribution
-Ball + player + pose tracking (RF-DETR + ViTPose)
Big Data Sports - David Fombella retweeted
there's no catch; SAM3 is open source and really good
one of the things it does really well is object tracking, even in crazy complex scenes like basketball
probably my favorite computer vision model ever
Big Data Sports - David Fombella retweeted
A look at Arsenal's squad profile and how Mikel Arteta managed minutes for Arsenal in the Premier League this season 🔎
#AFC




















































