tracking-data

get football tracking data from TV broadcast using yoloV5, Deep sort

This repository will contain all sorts of basic visualisation to step into the world of football analytics

Visualize 25Hz tracking data. Interactive matplotlib replay of 145K real match frames from Metrica Sports.

Predictive modeling using pre-snap NFL tracking data to anticipate play outcomes for the 2026 Big Data Bowl. Includes feature engineering, data pipelines, and exploratory football analytics.

GTT's fork of More than a Hack 2027 — frame-by-frame ball possession from tracking data.

Not how hard, but how: the shape of a collective press. SkillCorner x PySport Analytics Cup 2.0

NBA Shot Outcome Prediction Model — OKC Basketball Analytics Assessment. Features feature engineering on 425K+ shot tracking events, XGBoost/LightGBM modeling, and log-loss evaluation

Vyuh: turns football tracking data into a tactical story: replay, team shapes, key numbers and an AI coach whose every number is checked against the measured facts. FastAPI + React.

Production-grade frame-level soccer team possession estimation for FC Barcelona & Metrica Sports tracking data. Powered by kinematic reachability, symmetric GBDTs, Jev System One reasoning, and Soft Viterbi sequence decoding.

Frame-level ball-possession detection from football tracking data. Built for More Than a Hack 2027.

Reads a football team's defensive structure from tracking data: phases, pressure on the ball and the dangerous space a defence leaves, frame by frame.

Rebuild basketball player and ball tracking from play-by-play by motion matching over a tracked possession library

Bundesliga 2022-23 player tracking: Databricks batch pipeline and a bit-identical PySpark Structured Streaming port

How much hard running each football player has done, and how much short-term reserve a typical pro would have left. Tracking data, a D′ balance battery and AI agents on Microsoft Foundry.

Estimates team possession per frame from football tracking data using distance rules, temporal smoothing and LightGBM.

Spatial decision-making analytics on 2022 World Cup tracking data — pitch control, trained xT, per-pass decision quality (Streamlit)

How far can you trust a defensive metric from broadcast tracking? Coverage, same-ball-position on/off-camera comparison and repeatability checks for any metric (SkillCorner open data, PySport Analytics Cup 2.0)

Context-aware similarity search for football possession sequences using event and tracking data.

Sports-science pipeline: player tracking data to load metrics (distance, HSR, sprints, ACWR) in SQL and a Power BI coach dashboard

Ligne haute : gain, coût et fiabilité des positions selon la situation (tracking SkillCorner, A-League) · High defensive line: gain, cost and position reliability by situation