FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Joe

Westley

CFEngland · Dundee FC

№ 937845Emerging €196k −0.27

Player dossierPremiership

JoeWestley

CFCentre-ForwardAttack

Club
Dundee FC
League
Premiership
Nationality
England
Age
21
Height
182 cm
Foot
Right
Valued
20 May 2026

Reading the valuation

The market values Westley at €150k. Model A, which never saw Westley during training, estimates €196k: the market value is 24% below that estimate.

That is a factor of ×1.31. Model A's typical held-out miss is ×1.50 either way, so this gap is within its usual error.

Without league and club, Model B estimates €534k, further from the market. Model B is usually further off (typical miss ×2.07): league and club explain much of how the market prices players.

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

▼ −0.27A €196k▼ −1.27B €534k
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
18
Minutes
996
Goals
2
Assists
1
Started
14/18
Min / app
55
Cards
2Y 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 Westley…

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 €150k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €150kModel A €196k

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 1,583 attackers

Joe Westley's percentiles among attackers: Goals per 90 31st, Assists per 90 28th, Minutes, two years 19th, Starts 80th, Minutes, last 365 days 37th, European club minutes 28th31stGoals28thAssists19thMinutes80thStarts37thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

78% this player59% attacker median80th percentile

5%peer deciles · median line · this player ●100%

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
€75k
Jun 2025
Peak
€150k
Dec 2025
Model target
€150k
May 2026
Valuations
3
1 club change
May 2026€150kDundee FCValuation the model is trained to reproduce

May 2026: €150k, Dundee FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2025-06-30€75kBurnley FC U21
2025-12-10€150kDundee FC
2026-05-20€150kDundee 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
−0.270

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 18% of the 311 Premiership players.

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

Attackers, all leagues1,583 players · median €2.5M

Valued above 2% of the 1,583 attackers.

€20k€300k€5M€75M€150kSee them in the Explorer →

Where Westley 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).