FairValue

Checking model

Esc

  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
  • EnvironmentTerminalExplore, compare and track players; market, league and model views.
  • EnvironmentStoriesValuations, head-to-heads and research findings, told as stories.
  • TerminalPlayer ExplorerSearch, filter and sort the player export.
  • TerminalComparison StudioTwo to four players on one scale.
  • TerminalWatchlistsNamed collections, kept in this browser.
  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

↑ ↓ to move · Enter to open · Esc to closeLoading player index…

Ashley

Hay

CFEngland · Dundee FC

№ 1298557Emerging €318k −1.16

Player dossierPremiership

AshleyHay

CFCentre-ForwardAttack

Club
Dundee FC
League
Premiership
Nationality
England
Age
22
Height
181 cm
Foot
Right
Valued
20 May 2026

Reading the valuation

The market values Hay at €100k. Model A, which never saw Hay during training, estimates €318k: the market value is 69% below that estimate.

That is a factor of ×3.18. 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 €763k, 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.

▼ −1.16A €318k▼ −2.03B €763k
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
26
Minutes
1,237
Goals
4
Assists
1
Started
11/26
Min / app
48
Cards
0Y 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 Hay…

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 €100k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €100kModel A €318k

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

Ashley Hay's percentiles among attackers: Goals per 90 55th, Assists per 90 22nd, Minutes, two years 25th, Starts 24th, Minutes, last 365 days 48th, European club minutes 28th55thGoals22ndAssists25thMinutes24thStarts48thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

Club goals per 90 minutes played in the two years to the valuation date.

0.29 this player0.26 attacker median55th percentile

0.00peer deciles · median line · this player ●1.17

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
€100k
Oct 2025
Model target
€100k
May 2026
Valuations
4
1 club change
May 2026€100kDundee FCValuation the model is trained to reproduce

May 2026: €100k, Dundee FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2025-06-30€75kBrentford FC B
2025-10-08€100kDundee FC
2025-12-10€100kDundee FC
2026-05-20€100kDundee 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
−1.157

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 7% of the 311 Premiership players.

€20k€150k€1M€7.5M€100kSee them in the Explorer →

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

Valued above 1% of the 1,583 attackers.

€20k€300k€5M€75M€100kSee them in the Explorer →

Where Hay 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).