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…

Portrait of Jamie Gittens

Jamie

Gittens

LWEngland · Chelsea FC

№ 670882World Class €31.5M −0.05

Image: FootyLogos

Player dossierPremier League

JamieGittens

LWLeft WingerAttack

Club
Chelsea FC
League
Premier League
Nationality
England
Age
21
Height
178 cm
Foot
Right
Valued
3 Jun 2026

Reading the valuation

The market values Gittens at €30M. Model A, which never saw Gittens during training, estimates €31.5M: the market value is 5% below that estimate.

That is a factor of ×1.05. 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 €20.3M, 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.

▼ −0.05A €31.5M▲ +0.39B €20.3M
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
76
Minutes
3,905
Goals
13
Assists
10
Started
46/76
Min / app
51
Cards
6Y 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 Gittens…

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 €30M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €30MModel A €31.5M

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

Jamie Gittens's percentiles among attackers: Goals per 90 57th, Assists per 90 79th, Minutes, two years 80th, Starts 52nd, Minutes, last 365 days 42nd, European club minutes 94th57thGoals79thAssists80thMinutes52ndStarts42ndRecent94thEurope

Dashed ring: the attacker median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

30% this player0% attacker median94th percentile

0%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
€4M
Jun 2022
Peak
€50M
Dec 2024
Model target
€30M
Jun 2026
Valuations
15
2 club changes
Jun 2026€30MChelsea FCValuation the model is trained to reproduce

Jun 2026: €30M, Chelsea FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2022-06-09€4MBorussia Dortmund U19
2022-09-21€8MBorussia Dortmund
2022-11-09€8MBorussia Dortmund
2023-03-29€14MBorussia Dortmund
2023-06-22€14MBorussia Dortmund
2023-10-18€18MBorussia Dortmund
2023-12-14€28MBorussia Dortmund
2024-05-29€28MBorussia Dortmund
2024-10-09€35MBorussia Dortmund
2024-12-20€50MBorussia Dortmund
2025-06-05€50MBorussia Dortmund
2025-10-17€45MChelsea FC
2025-12-09€40MChelsea FC
2026-03-09€35MChelsea FC
2026-06-03€30MChelsea 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
−0.048

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 →

Premier League555 players · median €18M

Valued above 73% of the 555 Premier League players.

€150k€1M€7.5M€50M€30MSee them in the Explorer →

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

Valued above 92% of the 1,583 attackers.

€20k€300k€5M€75M€30MSee them in the Explorer →

Where Gittens 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).