xPitch - Strava for casual Footballer

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xPitch turns the GPS recording already on your smartwatch into football-specific match analysis. No dedicated tracker or fancy sensor needed. Upload FIT, GPX, or TCX files for heatmaps, movement trails, zones, sprints, heart-rate context, and estimated roles. Map a session to a real pitch, split play from rest, save matches with notes/photos in your account, share them, and export Story-ready graphics.

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I like to play football, but after a match I could only see my GPS recording as another run in Strava. I could not see where I played, how much of the pitch I covered, when I sprinted, or what my movement said about my role. So I made xPitch. It only needs a smartwatch GPS recording, no fancy sensor or dedicated tracker. Upload a FIT, GPX, or TCX file and it turns the recording into football analysis: heatmaps, movement trails, zone occupancy, speed and sprint data, heart-rate context, workload, fatigue, and an estimated playing role. You can map a recording to a real pitch, split play from rest, save match notes/photos, and export a Story graphic. I built xPitch primarily with GPT-5.6 through Codex, with the workflow shaped around my own grassroots football use case. I’d value feedback from players, coaches, and anyone who has tried getting useful match context from smartwatch GPS data.

I just added Strava integration. The data import is seamless now.