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…

Mohamed

Bayo

CFGuinea · Gaziantep FK

№ 594991Established €4.1M +0.08

Player dossierSüper Lig

MohamedBayo

CFCentre-ForwardAttack

Club
Gaziantep FK
League
Süper Lig
Nationality
Guinea
Age
27
Height
187 cm
Foot
Right
Valued
21 May 2026

Reading the valuation

The market values Bayo at €4.5M. Model A, which never saw Bayo during training, estimates €4.1M: the market value is 9% above that estimate.

That is a factor of ×1.09. 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 €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.

▲ +0.08A €4.1M▼ −1.10B €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
52
Minutes
3,063
Goals
17
Assists
6
Started
37/52
Min / app
59
Cards
3Y 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 Bayo…

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 €4.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €4.5MModel A €4.1M

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 1,583 attackers

Mohamed Bayo's percentiles among attackers: Goals per 90 88th, Assists per 90 61st, Minutes, two years 67th, Starts 70th, Minutes, last 365 days 83rd, European club minutes 64th88thGoals61stAssists67thMinutes70thStarts83rdRecent64thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.50 this player0.26 attacker median88th 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
€200k
Jan 2019
Peak
€12M
May 2022
Model target
€4.5M
May 2026
Valuations
20
7 club changes
May 2026€4.5MGaziantep FKValuation the model is trained to reproduce

May 2026: €4.5M, Gaziantep FK. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2019-01-08€200kClermont Foot 63
2019-06-28€200kUSL Dunkerque
2020-08-14€300kClermont Foot 63
2020-11-11€900kClermont Foot 63
2021-03-11€3MClermont Foot 63
2021-06-25€6MClermont Foot 63
2021-10-08€10MClermont Foot 63
2021-12-16€10MClermont Foot 63
2022-05-30€12MClermont Foot 63
2022-11-02€10MLOSC Lille
2023-03-27€8MLOSC Lille
2023-06-27€6MLOSC Lille
2023-12-18€6MLe Havre AC
2024-06-03€5MLe Havre AC
2024-12-10€4MLOSC Lille
2025-03-26€3.5MRoyal Antwerp FC
2025-06-12€2.8MRoyal Antwerp FC
2025-12-17€3MGaziantep FK
2026-03-05€4MGaziantep FK
2026-05-21€4.5MGaziantep FK

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
+0.083

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 →

Süper Lig428 players · median €1.2M

Valued above 80% of the 428 Süper Lig players.

€50k€300k€2M€15M€4.5MSee them in the Explorer →

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

Valued above 63% of the 1,583 attackers.

€20k€300k€5M€75M€4.5MSee them in the Explorer →

Where Bayo 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).