FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Eric

Bailly

CBCote d'Ivoire · Real Oviedo

№ 286384Emerging €1.3M −0.11

Player dossierLaLiga

EricBailly

CBCentre-BackDefender

Club
Real Oviedo
League
LaLiga
Nationality
Cote d'Ivoire
Age
32
Height
187 cm
Foot
Right
Valued
5 Jun 2026

Reading the valuation

The market values Bailly at €1.2M. Model A, which never saw Bailly during training, estimates €1.3M: the market value is 10% below that estimate.

That is a factor of ×1.12. 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 €1M, 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.

▼ −0.11A €1.3M▲ +0.16B €1M
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
28
Minutes
1,974
Goals
1
Assists
0
Started
24/28
Min / app
71
Cards
5Y 1R

Club matches, two years to the valuation date

The Valuation Journey

What moves Model A

Asking the prediction API to explain Model A for Bailly…

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 €1.2M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1.2MModel A €1.3M

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

Eric Bailly's percentiles among defenders: Goals per 90 61st, Assists per 90 17th, Minutes, two years 33rd, Starts 57th, Minutes, last 365 days 40th, European club minutes 30th61stGoals17thAssists33rdMinutes57thStarts40thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Goals per 90

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

0.05 this player0.03 defender median61st percentile

0.00peer deciles · median line · this player ●0.41

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
€400k
Jan 2015
Peak
€35M
Jan 2018
Model target
€1.2M
Jun 2026
Valuations
34
6 club changes
Jun 2026€1.2MReal OviedoValuation the model is trained to reproduce

Jun 2026: €1.2M, Real Oviedo. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2015-01-23€400kRCD Espanyol Barcelona
2015-01-28€1MRCD Espanyol Barcelona
2015-04-09€3MVillarreal CF
2015-07-01€3MVillarreal CF
2015-09-29€6MVillarreal CF
2016-02-22€8MVillarreal CF
2016-08-01€20MManchester United
2016-10-24€25MManchester United
2017-02-20€25MManchester United
2017-06-28€30MManchester United
2018-01-02€35MManchester United
2018-05-28€35MManchester United
2018-10-17€30MManchester United
2018-12-19€30MManchester United
2019-06-13€25MManchester United
2019-12-10€22MManchester United
2020-04-08€17.5MManchester United
2020-10-13€17.5MManchester United
2021-03-18€15MManchester United
2021-06-08€15MManchester United
2021-10-05€10MManchester United
2021-12-23€8MManchester United
2022-06-15€6MManchester United
2022-09-19€8MOlympique Marseille
2022-11-02€8MOlympique Marseille
2023-06-27€5MOlympique Marseille
2023-09-27€4MBesiktas JK
2023-12-21€3.4MBesiktas JK
2024-03-21€3.5MVillarreal CF
2024-06-07€3MVillarreal CF
2024-12-27€2.5MVillarreal CF
2025-06-09€2MVillarreal CF
2025-12-12€1.5MReal Oviedo
2026-06-05€1.2MReal Oviedo

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
−0.110

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 →

LaLiga509 players · median €4M

Valued above 15% of the 509 LaLiga players.

€100k€1M€10M€100M€1.2MSee them in the Explorer →

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

Valued above 39% of the 2,065 defenders.

€20k€200k€2M€20M€1.2MSee them in the Explorer →

Where Bailly 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).