A generation ago, sports statistics were counted by hand: goals, shots, tackles, and passes. Today, broadcasts show sprint speeds, heat maps, and pass probabilities in real time.
Behind them is technology that records where every player and the ball are, many times per second.
Optical tracking
Many leagues use arrays of cameras installed around the stadium. Computer vision software identifies each player and the ball, recording their positions dozens of times a second. Newer systems also track body parts — limbs and joints — to model movement in more detail.
Wearable tracking
Players often wear GPS and accelerometer units in vests or shoulder pads, mainly in training. These measure distance, speed, accelerations, and impacts, which coaches use to manage workload and reduce injury risk.
From data to stats
- ▸Physical metrics: distance covered, top speed, high-intensity sprints
- ▸Positional metrics: heat maps and average positions
- ▸Model-based metrics: expected goals, pass completion probability, win probability
- ▸Tactical data: pressing intensity, defensive shape, and passing networks
Where it is used
Teams use tracking data for scouting, tactics, and player development. Broadcasters use it for graphics. Officials use similar technology for semi-automated offside decisions in football and line calls in tennis.
Limits to keep in mind
Model-based stats like expected goals are estimates built on historical patterns. They are useful for understanding trends across many games but less reliable for judging a single moment or match.
This is general sports information and commentary. Rules, schedules, and records change — check official league, federation, and event sources for the latest details. Consult a qualified coach or medical professional before starting a new training programme.