The athlete-monitoring report, drafted before the morning meeting

A midfielder logs a Monday session: high-speed running up 30% on the week, a force-plate asymmetry reading outside their normal range. Both numbers land where they always do. Then the manual part starts: someone pulling both exports, opening the norms spreadsheet, working out who's flagged, and writing narrative notes for each athlete before the morning meeting. An hour of cross-referencing for a squad of twenty-five.

One way it plays out

1. Both data feeds get checked against your own athlete norms — not hard-coded thresholds, but a setup the sports scientist owns and edits directly, no developer needed.
2. The interpretation gets drafted, not just the numbers — "this athlete's asymmetry is trending up alongside load — worth a conversation before the next session" — grounded in the flagged data and the athlete's recent history.
3. A practitioner-ready report and a squad dashboard update on their own — the narrative, the flagged metrics, and a link to the full session data — ready before the meeting.

That's one way it plays out — the norms, the flags, and the report format get shaped around how your department already works.

So instead of an hour of exports and cross-referencing, the flagged midfielder is already written up with a recommendation — and every Friday a rollup shows load trends across the squad, who's been flagged more than once, and which norms are triggering most, so the sports scientist can tune the rules themselves.

Works for: sports science and S&C departments, GPS/force-plate reporting, and athlete-monitoring dashboards.

Everything stays on servers here in Canada, and once it's built the whole thing is yours to keep — not a subscription, and not tied to anyone's platform. I'm here in Winnipeg: I set it up, and I stay with you and your team until it's running the way you want.

Curious how it's built? Technical breakdown available on request.