Value a player
Estimate market value from performance, age, position, and experience.
Try the model PREMIER LEAGUE INTELLIGENCE
Find the signal
before the market does.
Decision tools for player valuation, squad planning, and match analysis—built on transparent, reproducible data.
Open valuation lab414players trained
12model features
€10mvalidation MAE
0.61validation R²
01 / 03
Player valuation lab
Adjust a player profile and see how performance, age, role, and league experience influence the model’s estimate.
TRAINED MODEL ESTIMATE calculating
Estimated market value—
Sending profile to the prediction API…
€0€50m€100m€150m+
PROFILE SIGNALS
Goal contribution
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Age profile
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Availability
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Loading versioned model…
MODEL CARD / valuation-ridge-2025-v1Built to be
Built to be
questioned.
A prediction without context is just a number. Touchline shows what drives every estimate.
APPROACHRegularized log regression
Reproducible baseline evaluated against a seeded 20% holdout.
PRIMARY METRIC€10m mean absolute error
Reported in euros alongside R² and median percentage error.
LIMITATIONMarket data is noisy
Estimates are directional and should not replace professional scouting.
VERSIONINGReproducible runs
Each prediction records its feature set and model version.
PLATFORM ROADMAPOne data spine.
One data spine.
Three decisions.
The valuation engine is the first complete module. Shared player and match data unlocks two more without rebuilding the foundation.
Find a profile
Surface statistically similar players within recruitment constraints.
Open scouting labRead the match
Compare team form and estimate calibrated win, draw, and loss probabilities.
Open match lab