Win before kick-off.
Every opponent modelled before the match, and live in the dugout. A short set of insights your coaches can act on, each one linked to its source. No data dumps.
Opposition prep is slow, manual, and lives in one analyst's head.
The pack takes days to build. Half of it never reaches the coach in a form they can use. And when it does, it's a data dump, not a decision. Meanwhile the insight that would have won the game is buried three tabs deep.
Every matchup, modelled before you name the team.
Battle AI ranks every player against the exact slot they'll play, before kick-off and live in the dugout. The opposition pack assembles itself; your analyst reviews and approves, instead of building from scratch. And every result feeds the next opponent's prep, so the model gets sharper each week.
Battle AI matchup view: per-player ranks against the slot they're playing. Anonymised; live at an elite club.
From open-source noise to an auditable insight.
Opposition Pack (MD-3/4)
Pre-assembled and ready for the coach to review and approve.
Battle AI
Every matchup modelled before kick-off, and live on matchday.
Goal & Sequence Maps
How each goal was built, from event data and freeze-frames: a self-contained match explainer.
Headline Insights, with an audit trail
A short list of insights that trigger action, every claim traceable back to the evidence behind it.
Post-Game Analysis
Closes the loop: every result feeds the next opponent's preparation.
Auditable by design. No unsupported conclusions.
Sporting Insights turns open-source intelligence and event data into a short set of action-triggering insights, each one linked to its source, with a full audit trail. Analysts review with confidence; coaches get an answer, not a spreadsheet. The rule the product is built on: fewer, sharper, auditable. No data dumps.
Event and tracking data from StatsBomb, Impect and Second Spectrum: unified into one model, read in your club's own tactical language.
How it feeds the brain
Every pre-match verdict is scored against the actual result. The next opponent's analysis is calibrated by what happened on the pitch, so the model gets sharper with each match it grades itself on.