Soccer Tracking Data. Built Into Hudl.

Player locations, physical and off-ball metrics for any player, derived from single camera footage across 120+ competitions. Connected to events and video inside the Hudl Pro Suite.

A sports analytics collage featuring two football players in action, a 2D spatial tracking map of player positions, and data callouts for a speed of 14.7 KM/H and a count of 18 sprints.

: Analyze any player as if they were your own.

Soccer tracking and event data, video generated and delivered together to give you a complete physical, performance, and play style of any player.

X&Y Data: The Foundation for your Models

Raw positional data for every player and the ball. Generated from single camera footage, our FIFA-certified data has everything your models need.

  • Frame-level coordinates for every player and the ball
  • Aligned to Hudl event timestamps
  • Delivered via API, or viewable directly inside Hudl Insight
  • Historic seasons available for longitudinal analysis
A tablet screen displaying a wide-angle soccer match view with several players highlighted by automated bounding boxes, demonstrating real-time computer vision and tracking technology.

Physical Metrics: Measure Athletes Anywhere

Build a consistent physical profile for any player in your recruitment pool.

  • Full physical output per match. Distance, high-speed running, sprinting, peak speed (PSV-99), acceleration and deceleration counts
  • Coming soon: Split by possession state. Normalised per 90, per 60, or per 30 minutes of each phase
  • Coming soon: Shift-aware filtering. Metrics reflect only the minutes a player spent in a specific position
  • Standardized across 120+ competitions. Including youth and second-tier leagues
A male soccer player mid-stride kicking a ball, positioned in front of a laptop displaying a Hudl 'Physical Data' monitoring dashboard. Floating callouts highlight a speed of 14.7 KM/H and a count of 18 sprints.

Coming Soon: Style of Play Metrics: A New Layer of Insight

Movement metrics that go beyond events and video, giving you the context that supports better recruitment decisions.

  • Players bypassed. The number of defenders a pass or carry moves the ball past, at event level and in aggregate.
  • Pressure and space metrics. Time to pressure, space at reception and pressure density on any on-ball event.
  • Team shape metrics. Defensive line height, block type and compactness across in and out of possession.
  • Numerical balance. Rest defence count and local numerical advantage at key attacking and defensive moments.
A female football player kicking a ball, overlaid on a tactical pitch diagram with player tracking dots. Floating labels highlight data points for 'Time to pressure' and 'Rest defence' alongside match film thumbnails.

End-to-End Control: Built to keep improving.

Most soccer tracking models are validated in isolation. Hudl's are different. The event data from every match we collect feeds back into retraining the model — validated against the same manually collected event data that powers the rest of the Pro Suite. One ecosystem. End-to-end control.

A circular flow diagram of the Hudl Engine showing the integration of broadcast footage, AI and computer vision, and event data validation to create an improved data model.

Built for how you work.

Because Hudl Tracking Data isn’t generated by a third-party supplier, it lands inside the tools your analysts already use. From a physical metric to the clip that shows it, without switching platforms or manually aligning datasets.

A split graphic showing Python code for importing the hudl_tracking library on the left, and a corresponding 2D spatial visualization of football player positions and the ball on a pitch on the right.

Data Scientists

Stop fighting vendor-centric definitions of "tactical analysis." Our high-fidelity X&Y API feed gives you the spatial raw material to build proprietary models that reflect your club's specific philosophy. No dependency on third-party integrations that can lapse.

A soccer player scouting dashboard featuring a profile for a Liverpool player from Uruguay, alongside performance distribution charts for goals, expected goals (xG), max speed, and link-up plays.

Recruitment Analysts

Your job is to find the right player — not to maintain data pipelines. Analysts of any skill level or club size can leverage maximum value from tracking data without the "time-tax" of manual data-alignment efforts.

Hudl Tracking Data integrates directly into Hudl Insight and Hudl Sportscode, so you can move from a movement metric straight to the video clip that proves it.

A collage of Hudl football analytics featuring a physical data table, a tactical field view with player tracking circles and formation lines, and a scatter plot graph for attacking and defending indices.

Team Analysts

Your opposition prep shouldn't depend on what your opponents happen to share. Hudl Tracking Data gives you the spatial and physical context to understand how any team sets up, presses, and transitions.

Derived from single camera footage and delivered inside the tools you already use, so the insights land in your workflow, not alongside it.

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