FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
  • EnvironmentTerminalExplore, compare and track players; market, league and model views.
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  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Dujon

Sterling

RBEngland · Rangers FC

№ 346315Established €1.3M +0.68

Player dossierPremiership

DujonSterling

RBRight-BackDefender

Club
Rangers FC
League
Premiership
Nationality
England
Age
26
Height
186 cm
Foot
Right
Valued
20 May 2026

Reading the valuation

The market values Sterling at €2.5M. Model A, which never saw Sterling during training, estimates €1.3M: the market value is 96% above that estimate.

That is a factor of ×1.96. Model A's typical held-out miss is ×1.50 either way, so this gap is larger than its usual error.

Without league and club, Model B estimates €1.9M, closer to the market here, although it is usually further off (typical miss ×2.07).

A gap describes the model's arithmetic for this player's inputs, not what the player is worth.

▲ +0.68A €1.3M▲ +0.29B €1.9M
Pitch length is a log value scale fitted to this player's figures. ● observed · ◇ Model A · dashed ◇ Model B · each arc is a residual, log(observed) − log(estimate).
Apps
44
Minutes
2,416
Goals
1
Assists
2
Started
26/44
Min / app
55
Cards
9Y 0R

Club matches, two years to the valuation date

The Valuation Journey

What moves Model A

Asking the prediction API to explain Model A for Sterling…

SHAP describes the model's arithmetic for this player's inputs, not what causes market value. Model B can be explained only by the live service; Model A also has a published explanation for the research players.

Model A vs Model B against the observed €2.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €2.5MModel A €1.3M

Asking the prediction API…

Held-out estimates come from cross-validation, with this player outside the training data: the honest comparison. Served models were refitted on every player, this one included, so they sit closer to the market. Shaded band: Model A's typical miss (×1.50 either way).

Player traitspercentiles vs 2,065 defenders

Dujon Sterling's percentiles among defenders: Goals per 90 54th, Assists per 90 69th, Minutes, two years 42nd, Starts 15th, Minutes, last 365 days 24th, European club minutes 79th54thGoals69thAssists42ndMinutes15thStarts24thRecent79thEurope

Dashed ring: the defender median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

16% this player0% defender median79th percentile

0%peer deciles · median line · this player ●85%

No passing, progression or defensive actions exist in the dataset, so no trait claims to measure them.

Valuation history every Transfermarkt valuation on record

First valuation
€1M
Oct 2019
Peak
€4M
May 2024
Model target
€2.5M
May 2026
Valuations
16
4 club changes
May 2026€2.5MRangers FCValuation the model is trained to reproduce

May 2026: €2.5M, Rangers FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2019-10-17€1MWigan Athletic
2020-02-27€1MWigan Athletic
2020-04-08€900kWigan Athletic
2021-11-24€1MBlackpool FC
2022-05-13€1MBlackpool FC
2022-09-14€700kStoke City
2022-10-27€800kStoke City
2023-06-01€2.8MChelsea FC U21
2023-12-05€2.5MRangers FC
2024-03-20€3MRangers FC
2024-05-30€4MRangers FC
2024-12-03€4MRangers FC
2025-06-17€3.5MRangers FC
2025-10-08€3.2MRangers FC
2025-12-10€2.5MRangers FC
2026-05-20€2.5MRangers FC

Audit context group-level, not about this player

Audit group
UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.675

The group comes from first-listed citizenship and is never a model input. Across the population, non-UEFA players' market values sit about 10% above Model A's held-out estimates, relative to UEFA players in the same leagues. One player's residual says nothing about that pattern (typical miss ×1.50), and none of it is evidence of discrimination: the target may itself be biased. Open the Fairness Audit

In context observed value among comparable players in this build

All players in the Terminal →

Premiership311 players · median €400k

Valued above 86% of the 311 Premiership players.

€20k€150k€1M€7.5M€2.5MSee them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 54% of the 2,065 defenders.

€20k€200k€2M€20M€2.5MSee them in the Explorer →

Where Sterling appears

Watchlists and the comparison tray are kept in this browser only.

Near this valuation closest observed values: same league, then same position

Counts and ranks of observed Transfermarkt values only; model errors are never ranked here. Full player export: Every player in the modelling population (D-011).