The off-ball revolution: how AI tracking data is rewriting scouting

For years, football clubs scouted players the same way: a scout with a notebook, a stopwatch, and a subjective eye. Then came event data, which recorded what happened on the ball. But the off-ball movement, the positioning, the physical load, stayed invisible.

SkillCorner, a Paris-based company, is trying to fill that gap with computer vision. Their system tracks every player and the ball from a single video feed, including extrapolating positions when players briefly leave the frame, a limitation of standard broadcast cameras. Over 250 teams, leagues, and federations now use the data, according to the company's website. Clients range from Premier League sides like Everton and Crystal Palace to the Ukrainian Premier League champions Shakhtar Donetsk, who signed on in July 2026.

The core of the pitch is simple enough: take broadcast or tactical video, run it through a computer vision pipeline, and output XY coordinates for every player and the ball at 25 frames per second. Add event data from a partner or from SkillCorner's own extraction, and you get a layer of analysis that was previously available only to the wealthiest clubs with expensive camera rigs like Second Spectrum or Hawk-Eye.

What clubs actually do with it

The testimonials collected on SkillCorner's site read less like marketing copy and more like a handbook for analytics departments. At Everton, Head of Performance Insights Charlie Reeves put it plainly: "Game Intelligence allows us to measure huge parts of the game that we can't get from event data. It helps us build a fuller picture of why things happen, how a player truly fits our team style, and ultimately, how good they are."

Legia Warsaw's Sporting Director Radosław Mozyrko added a specific use case: "We need to select the best players with the physical characteristics we're looking for, while also fitting our technical and tactical style of play. Having access to this data from SkillCorner will be a crucial element in minimising risk and signing players who have the right physical potential, but are not yet at their footballing peak."

That last part is worth dwelling on. Traditional scouting tends to favor players who already look polished. A player with raw physical tools who hasn't yet learned how to use them in a system is harder to evaluate. Tracking data gives clubs a way to measure the raw material, speed, acceleration, work rate, positioning consistency, and then project how it might translate to a different tactical context.

The Orlando Magic's Assistant General Manager David Bencs, speaking about basketball but making a parallel point, said: "Having tracking data for the NCAA and all major international leagues will help us make the most educated decisions regarding the NBA Draft and international free agency."

Benchmarking across leagues

One of the more practical applications is cross-league comparison. Until recently, a Premier League club scouting a player in the Portuguese Primeira Liga or the Bulgarian First League had to rely on video and event data counts. Physical context, how hard the player runs, how often they sprint, how they handle defensive transitions, was guesswork.

BSC Young Boys' Assistant to the Sporting Director Patrick Schuler said: "Having access to SkillCorner Physical Data covering all of the leagues that we scout players from helps us to quickly identify, benchmark and filter our recruitment targets, making the whole process more efficient and effective."

Sevilla FC's Football Data Co-Ordinator Jesus Oliveria echoed that: "SkillCorner data allows us to compare the physical capabilities of all the players that our scouting market covers and consistently benchmark players from different leagues."

The company claims coverage across football, basketball, and American football, with over 150 competitions worldwide. That scale is what makes cross-league benchmarks meaningful. One club's physical data, isolated, tells a limited story. The same metrics across dozens of leagues and thousands of players turns into a ranking system for physical attributes.

Beyond hype: what the data actually changes

It is worth distinguishing SkillCorner's approach from the broader AI sports analytics hype. The company is not claiming to predict goals or replace coaches. It is selling a more complete video data stream that lets clubs ask better questions.

The most cited limitation in testimonials is not that the data is inaccurate, but that clubs need to know how to use it. CSKA 1948 Sofia's Scouting & Recruitment Coordinator Nikola Yotov: "Integrating advanced physical and tracking data into our processes will significantly enhance our scouting, recruitment, and performance analysis." The word "integrating" does the work. The data alone is not the solution.

Still, the client list suggests a shift. When Crystal Palace, West Ham, Aston Villa, Roma, Monaco, and Sporting Lisbon are all on the same tracking data platform, that data becomes a shared language for scouting departments. A player's acceleration profile in Ligue 1 becomes directly comparable to a target's profile in the Premier League. That consistency is the real product, more than any single metric.