FairValue

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

Amani

CMCote d'Ivoire · AE Kifisia

№ 435808Emerging €471k +0.75

Player dossierSuper League

LazareAmani

CMCentral MidfieldMidfield

Club
AE Kifisia
League
Super League
Nationality
Cote d'Ivoire
Age
28
Height
172 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Amani at €1M. Model A, which never saw Amani during training, estimates €471k: the market value is 112% above that estimate.

That is a factor of ×2.12. 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 €874k, closer to the market here, although it is usually further off (typical miss ×2.07).

A gap describes the model's arithmetic for this player's inputs, not what the player is worth.

▲ +0.75A €471k▲ +0.13B €874k
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
44
Minutes
2,116
Goals
4
Assists
0
Started
21/44
Min / app
48
Cards
8Y 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 Amani…

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 €1M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1MModel A €471k

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

Lazare Amani's percentiles among midfielders: Goals per 90 77th, Assists per 90 8th, Minutes, two years 40th, Starts 18th, Minutes, last 365 days 38th, European club minutes 30th77thGoals8thAssists40thMinutes18thStarts38thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

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

0.17 this player0.08 midfielder median77th percentile

0.00peer deciles · median line · this player ●0.93

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
€50k
Jul 2016
Peak
€5M
Jun 2023
Model target
€1M
Jun 2026
Valuations
27
5 club changes
Jun 2026€1MAE KifisiaValuation the model is trained to reproduce

Jun 2026: €1M, AE Kifisia. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2016-07-15€50kKAS Eupen
2016-10-20€900kKAS Eupen
2017-01-21€1.5MKAS Eupen
2017-06-06€1.3MKAS Eupen
2018-01-09€1.3MKAS Eupen
2018-03-30€1MKAS Eupen
2018-06-03€1MKAS Eupen
2018-12-27€1MKAS Eupen
2019-06-10€1MKAS Eupen
2019-12-13€900kKAS Eupen
2020-04-08€800kRoyal Charleroi SC
2020-11-02€400kGD Estoril Praia
2021-06-29€300kGD Estoril Praia
2022-01-06€400kUnion Saint-Gilloise
2022-04-12€1MUnion Saint-Gilloise
2022-05-26€1.5MUnion Saint-Gilloise
2022-11-04€2.5MUnion Saint-Gilloise
2023-03-22€4MUnion Saint-Gilloise
2023-06-09€5MUnion Saint-Gilloise
2023-12-19€5MUnion Saint-Gilloise
2024-06-04€5MUnion Saint-Gilloise
2024-10-02€4MUnion Saint-Gilloise
2024-12-11€3.5MUnion Saint-Gilloise
2025-06-12€3MStandard Liège
2025-09-23€2MAE Kifisia
2025-12-12€1.2MAE Kifisia
2026-06-04€1MAE Kifisia

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
+0.753

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 →

Super League356 players · median €600k

Valued above 67% of the 356 Super League players.

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

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

Valued above 32% of the 1,687 midfielders.

€20k€200k€2M€20M€1MSee them in the Explorer →

Where Amani 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).