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.
  • 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.

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Jordan

James

CMWales · Leicester City

№ 667517Elite €1.5M +2.10

Player dossierPremier League

JordanJames

CMCentral MidfieldMidfield

Club
Leicester City
League
Premier League
Nationality
Wales
Age
21
Height
182 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values James at €12M. Model A, which never saw James during training, estimates €1.5M: the market value is 715% above that estimate.

That is a factor of ×8.15. 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 €628k, 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.

▲ +2.10A €1.5M▲ +2.95B €628k
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
23
Minutes
1,181
Goals
0
Assists
1
Started
14/23
Min / app
51
Cards
4Y 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 James…

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 €12M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €12MModel A €1.5M

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 1,687 midfielders

Jordan James's percentiles among midfielders: Goals per 90 10th, Assists per 90 42nd, Minutes, two years 18th, Starts 35th, Minutes, last 365 days 1st, European club minutes 30th10thGoals42ndAssists18thMinutes35thStarts1stRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.08 this player0.09 midfielder median42nd percentile

0.00peer deciles · median line · this player ●0.74

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
May 2022
Peak
€12M
Mar 2026
Model target
€12M
May 2026
Valuations
12
2 club changes
May 2026€12MLeicester CityValuation the model is trained to reproduce

May 2026: €12M, Leicester City. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2022-05-13€1MBirmingham City
2022-10-27€2MBirmingham City
2023-06-01€3MBirmingham City
2023-12-21€3.8MBirmingham City
2024-03-07€4.5MBirmingham City
2024-05-24€4.5MBirmingham City
2024-12-10€5MStade Rennais FC
2025-03-24€8MStade Rennais FC
2025-06-03€8MStade Rennais FC
2025-12-03€8MLeicester City
2026-03-03€12MLeicester City
2026-05-28€12MLeicester City

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
+2.099

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 36% of the 555 Premier League players.

€150k€1M€7.5M€50M€12MSee them in the Explorer →

Midfielders, all leagues1,687 players · median €2M

Valued above 81% of the 1,687 midfielders.

€20k€200k€2M€20M€12MSee them in the Explorer →

Where James 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).