Force Plate Analysis Software for Athlete Monitoring
Force plate analysis software that compares each new testing result against the athlete's own rolling baseline and flags deviations for performance staff to review.
Problem
Testing days on force plate and jump-testing hardware produce a results file that gets exported into a spreadsheet or the athlete management system and then, in practice, glanced at one session at a time. Nobody routinely plots a given athlete's jump height or left-right asymmetry across the last ten sessions against their own history, because doing that by hand for a full squad takes longer than anyone has. Results often reach coaching staff a week after the test, by which point selection has already happened, and a slow decline in output or a widening asymmetry — an early flag for injury risk — sits unnoticed in a tab nobody reopens.
Product idea
A monitor that takes each testing session's export, builds a rolling baseline per athlete per metric from that athlete's own recent history rather than a squad average, and flags when a new result falls outside a configured band — a drop in jump height, a widening asymmetry index. A single live board shows status per athlete per metric with the date of the last test, and a crossed threshold pushes an alert naming the athlete, the metric and the session to a named performance staff member. It does not attempt to explain the cause or suggest a load adjustment — it flags the deviation for a person to review.
Where the AI agent does the work
The agent's task is maintaining a rolling baseline per athlete per metric and comparing each new result against it the moment a session export lands, rather than the squad-wide plotting the problem says nobody does by hand because it takes longer than anyone has for a full squad. That is what turns a result a week late, reviewed one session at a time, into a flag the same day testing happens, while selection is still open rather than after it has already been decided. It does not explain the cause of a deviation; it only makes sure a slow decline or a widening asymmetry does not sit unread in a tab nobody reopens.
- Roles involved
- Sports scientist, Strength & conditioning coach, Head of Performance
- Relevant to
- Professional club, Collegiate athletics, Academy & youth, Women's league
- Systems in play
- Force plate and testing hardware, Spreadsheets, Athlete management systems
A proposal worked through in full
A different problem, taken all the way to architecture, standards and a phased delivery plan — the level of detail any idea here can be developed to.
Sports Sponsorship Activation Platform for Interactive Live StreamingForce plates and jump-testing systems can generate valuable athlete-performance data.
The challenge is reviewing every new result against the athlete's own previous testing, not simply looking at one testing session in isolation.
This proposed force plate analysis software creates a rolling athlete baseline and highlights meaningful deviations.
Monitor force plate data over time
Performance teams upload the latest testing export. The platform then compares selected measures with each athlete's recent history.
Depending on the testing protocol, metrics could include:
- Jump height
- Peak force
- Relative force
- Reactive strength measures
- Left-right asymmetry
- Other selected force-time metrics
The exact metrics and thresholds are configured by the sports-science team.
Athlete baseline monitoring
Instead of comparing every athlete only with squad averages, the platform can monitor changes against that athlete's own recent results.
A result might be reported as jump height within baseline, asymmetry outside the configured range, or testing history insufficient for a reliable baseline.
A crossed threshold creates a review flag. It does not diagnose the cause or automatically recommend a training change.
Force plate data analysis without replacing hardware
The organisation's existing hardware and force plate software remain responsible for data collection and primary test processing.
This application provides the longitudinal monitoring layer: a test is recorded, compared with the baseline, a deviation is flagged, and a person reviews it.
First release
A three to five week version could include force plate CSV upload, athlete mapping, metric configuration, a rolling individual baseline, configurable deviation thresholds, a squad monitoring dashboard, last-test date, email alerts and testing history.
No hardware integration or automatic interpretation would be required initially.
The opportunity
Performance teams may already conduct regular sports performance testing.
The missing question is which athlete's latest result has moved meaningfully away from their normal range.
That is what this force plate analysis software is designed to surface.
Questions we get asked
What do we need to have in place before this is worth building?
A consistent export format from your testing hardware and enough testing history per athlete to establish a baseline — a handful of sessions at minimum, more is better. If your squad tests infrequently, the baseline will be thin at first and the tool should say so rather than flag confidently on two data points. It gets more useful the longer testing has been running consistently.
Does this replace the athlete management system we already log testing data into?
No. It reads an export from your existing process and does the trend comparison your team does not currently have time to do by hand. Your athlete management system stays the system of record for the raw results. Version one exports or emails flags rather than writing back into it, so the comparison layer can prove its worth before anyone wires up an integration.
Our staff already look at every athlete's numbers after testing. Why do we need an alert on top of that?
Looking at a single session's numbers and tracking drift against an athlete's own baseline across a season are different jobs, and the second one is the one that gets skipped when the squad is large and testing is frequent. If your staff genuinely already do that comparison by hand for every athlete every session, this has less to add — that is worth being honest about before committing to it.
Who has to maintain this once it exists?
Someone — usually the sports scientist who owns testing — needs to keep thresholds sensible as the squad's baseline shifts across a season, and someone needs to actually action a flag rather than let it sit. The tool does not decide what a flagged deviation means; if no one is reviewing the flags, it becomes a well-organised list of things nobody looked at.
Is this your workflow?
Tell us one sports workflow that still runs on paper, spreadsheets, WhatsApp or an outdated system. We will map it and show you what a simpler product looks like.
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