Analyzing football/soccer with tracking data | Spiideo and Colina Analytics
Making every play count with AutoData Activity tracking data
Subtle actions often decide matches: a perfectly timed press that creates an overload in the final third, an off-the-ball run that pulls defenders out of position, or a split-second defensive adjustment that shuts down a developing attack.
Even the very best coaches can’t keep track of everything on the sidelines, and while video can help to recall important moments, how well could you remember a clip after watching dozens more?
That’s where data analysis comes into play, turning the complexity of a 90-minute match into clear, actionable insights: Did your team execute your tactical plan? Which areas did you struggle to control? And how can you set up to exploit your opponent’s weaknesses?
Spiideo’s Kelvin Slesser sat down with Felipe Abedrapo, co-founder of Colina Analytics, to discuss how teams and leagues can leverage Spiideo AutoData’s real-time tracking data.
Standardized data – automatically and effortlessly
Spiideo’s AutoData Activity transforms any recording into comprehensive tracking data, automatically and effortlessly. Through powerful visualizations that update in real-time alongside the video recording, coaches and analysts can get a second-by-second look into team shape, defensive compactness, pitch control, and more.
Every player’s running metrics – from distance covered to sprint intensity – are automatically captured and stored, providing a clear view of individual performances and standardized benchmarks to compare players across leagues and seasons, with no wearables required.
Video and data can be viewed side by side within Spiideo Perform or exported to use within third-party tools, making it faster and easier than ever to turn raw footage into actionable insights.
Turning tracking data into game-deciding decisions
With this data, analysts like Felipe can measure everything from team shape and defensive width to pitch control and expected threat.
From a coaching perspective, this means seeing whether a game plan played out effectively: Were we more compact than usual? Did our line-breaking passes amount to anything? Were runs in behind creating real danger?
And for scouting, it provides a long-term view of performance, strengths, and weaknesses: Is this player suited to a certain role? Do they fit the tactical style? Do they consistently change the game?
Watch the full interview below to learn how Colina Analytics uses Spiideo AutoData Activity, and discover how clubs and leagues – of any size and stature – can utilize data to draw pro-level insights from every game:
