FairValue

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

Kaya

AMTürkiye · Alanyaspor

№ 712127Emerging €823k +0.60

Player dossierSüper Lig

İbrahimKaya

AMAttacking MidfieldMidfield

Club
Alanyaspor
League
Süper Lig
Nationality
Türkiye
Age
25
Height
184 cm
Foot
Right
Valued
21 May 2026

Reading the valuation

The market values Kaya at €1.5M. Model A, which never saw Kaya during training, estimates €823k: the market value is 82% above that estimate.

That is a factor of ×1.82. 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 €2.4M, 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.

▲ +0.60A €823k▼ −0.48B €2.4M
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
30
Minutes
1,154
Goals
6
Assists
1
Started
11/30
Min / app
38
Cards
2Y 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 Kaya…

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 €1.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1.5MModel A €823k

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

İbrahim Kaya's percentiles among midfielders: Goals per 90 99th, Assists per 90 43rd, Minutes, two years 17th, Starts 9th, Minutes, last 365 days 37th, European club minutes 30th99thGoals43rdAssists17thMinutes9thStarts37thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

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

0.47 this player0.08 midfielder median99th 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
€100k
Oct 2024
Peak
€1.5M
May 2026
Model target
€1.5M
May 2026
Valuations
7
1 club change
May 2026€1.5MAlanyasporValuation the model is trained to reproduce

May 2026: €1.5M, Alanyaspor. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2024-10-16€100kBandirma Spor
2025-01-09€200kBandirma Spor
2025-04-02€225kBandirma Spor
2025-06-25€275kBandirma Spor
2025-10-01€1MAlanyaspor
2025-12-17€1MAlanyaspor
2026-05-21€1.5MAlanyaspor

Audit context group-level, not about this player

Audit group
UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.601

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 52% of the 428 Süper Lig players.

€50k€300k€2M€15M€1.5MSee them in the Explorer →

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

Valued above 39% of the 1,687 midfielders.

€20k€200k€2M€20M€1.5MSee them in the Explorer →

Where Kaya 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).