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…

Lamine

Camara

CMSenegal · AS Monaco

№ 918969World Class €29.1M +0.32

Player dossierLigue 1

LamineCamara

CMCentral MidfieldMidfield

Club
AS Monaco
League
Ligue 1
Nationality
Senegal
Age
22
Height
174 cm
Foot
Right
Valued
1 Jun 2026

Reading the valuation

The market values Camara at €40M. Model A, which never saw Camara during training, estimates €29.1M: the market value is 38% above that estimate.

That is a factor of ×1.38. 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 €22.7M, 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.

▲ +0.32A €29.1M▲ +0.57B €22.7M
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
69
Minutes
5,060
Goals
5
Assists
11
Started
62/69
Min / app
73
Cards
20Y 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 Camara…

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 €40M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €40MModel A €29.1M

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

Lamine Camara's percentiles among midfielders: Goals per 90 52nd, Assists per 90 83rd, Minutes, two years 87th, Starts 86th, Minutes, last 365 days 75th, European club minutes 88th52ndGoals83rdAssists87thMinutes86thStarts75thRecent88thEurope

Dashed ring: the midfielder median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

22% this player0% midfielder median88th 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
€200k
Jun 2023
Peak
€40M
Jun 2026
Model target
€40M
Jun 2026
Valuations
12
2 club changes
Jun 2026€40MAS MonacoValuation the model is trained to reproduce

Jun 2026: €40M, AS Monaco. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-06-16€200kFC Metz B
2023-10-16€800kFC Metz
2023-12-18€4MFC Metz
2024-03-19€8MFC Metz
2024-06-03€10MFC Metz
2024-10-07€15MAS Monaco
2024-12-10€20MAS Monaco
2025-06-03€22MAS Monaco
2025-10-10€30MAS Monaco
2025-12-15€30MAS Monaco
2026-03-27€35MAS Monaco
2026-06-01€40MAS Monaco

Audit context group-level, not about this player

Audit group
non-UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.319

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 →

Ligue 1423 players · median €5M

Valued above 95% of the 423 Ligue 1 players.

€100k€750k€5M€30M€40MSee them in the Explorer →

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

Valued above 96% of the 1,687 midfielders.

€20k€200k€2M€20M€40MSee them in the Explorer →

Where Camara 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).