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…

Ousmane

Diao

CBSenegal · FC Midtjylland

№ 1099668Established €12.5M −0.45

Player dossierSuperliga

OusmaneDiao

CBCentre-BackDefender

Club
FC Midtjylland
League
Superliga
Nationality
Senegal
Age
21
Height
187 cm
Foot
Right
Valued
25 May 2026

Reading the valuation

The market values Diao at €8M. Model A, which never saw Diao during training, estimates €12.5M: the market value is 36% below that estimate.

That is a factor of ×1.56. 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 €13.5M, 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.

▼ −0.45A €12.5M▼ −0.52B €13.5M
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
63
Minutes
5,258
Goals
9
Assists
4
Started
59/63
Min / app
83
Cards
11Y 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 Diao…

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 €8M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €8MModel A €12.5M

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 2,065 defenders

Ousmane Diao's percentiles among defenders: Goals per 90 95th, Assists per 90 66th, Minutes, two years 86th, Starts 80th, Minutes, last 365 days 66th, European club minutes 98th95thGoals66thAssists86thMinutes80thStarts66thRecent98thEurope

Dashed ring: the defender median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

40% this player0% defender median98th 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
€250k
Jun 2023
Peak
€8M
Dec 2025
Model target
€8M
May 2026
Valuations
7
1 club change
May 2026€8MFC MidtjyllandValuation the model is trained to reproduce

May 2026: €8M, FC Midtjylland. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-06-28€250kCD Mafra
2023-12-14€750kCD Mafra
2024-06-20€1MCD Mafra
2024-12-09€4MFC Midtjylland
2025-06-16€7.5MFC Midtjylland
2025-12-15€8MFC Midtjylland
2026-05-25€8MFC Midtjylland

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
−0.446

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 →

Superliga256 players · median €800k

5th highest observed value among 256 Superliga players.

€20k€150k€1M€7.5M€8MSee them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 78% of the 2,065 defenders.

€20k€200k€2M€20M€8MSee them in the Explorer →

Where Diao 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).