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Injury Prediction

Know who's at risk before they break down.

An ML-powered injury risk ranking for your current squad. Every player ranked by injury probability based on load patterns, scheduling density, positional workload, and historical absence data. The model is calibrated per league because injury patterns are league-specific — a finding from our research that most generic tools miss. You get a clear priority list: who to rest, who to rotate, and which fixture windows carry the highest risk.

Built for non-technical teams who want objective answers from proprietary algorithms — not another tool to learn.

7 in 10
high-risk flagged players go on to suffer significant absence
3-tier
feature architecture (load, schedule, history)
+6pp
improvement over standard injury models
Local > Global
league-specific models outperform generic approaches

Who this is for

01

Performance directors managing squad load through congested fixtures

02

Head coaches deciding rotation and rest strategies

03

Medical staff who want a data layer on top of their clinical judgment

What you receive

Squad-wide injury probability ranking — every player scored and tiered

Risk tiers: High / Elevated / Moderate / Low with recommended action

Rotation recommendations for the upcoming fixture window

Fixture risk calendar — which match weeks carry highest aggregate risk

Per-player risk factor breakdown (load, schedule, history, position)

Written summary with top 5 players to manage carefully

How we build this report

Every model is validated against real outcomes it never saw during training. Nothing enters production until it proves it works on historical data.

01

Our injury model uses a multi-tier feature architecture covering player profile, schedule context, and rolling workload patterns.

02

Models are trained locally per league because our research showed league-specific calibration consistently outperforms global models. Injury patterns in the Premier League are different from those in the Danish Superliga.

03

The model achieves 70% precision at the top risk tier — meaning 7 out of 10 players flagged as high-risk actually suffer significant absence.

04

For leagues without rich per-match statistics, we use an adapted model that still significantly outperforms standard approaches.

How it works

1

Brief

Tell us your club and any upcoming fixture congestion or specific concerns.

2

Data pull

We pull your squad's minutes, appearances, injury history, and upcoming schedule.

3

Model run

Per-player injury probabilities are computed with league-specific calibration.

4

Analyst review

Our team reviews the output and writes rotation recommendations.

5

Delivery

PDF delivered within 3-5 business days.

We used the injury prediction before the Christmas fixture pile-up. Two of the three players flagged as high-risk did pick up injuries at other clubs that month. We rotated ours.

Performance Director

Danish Superliga Club

Pricing

Order this report

EUR 2,200 — delivered as PDF in 3-5 business days

Questions

Start with one report.

You send a brief. We send a PDF. Every prediction backtested against real outcomes.

No software to install. No dashboards to learn. No training required.

Order Injury Prediction