FairValue

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

Ceesay

CFThe Gambia · FC St. Pauli

№ 1280281Emerging €3.5M −1.26

Player dossierBundesliga

AbdoulieCeesay

CFCentre-ForwardAttack

Club
FC St. Pauli
League
Bundesliga
Nationality
The Gambia
Age
22
Height
185 cm
Foot
–
Valued
27 May 2026

Reading the valuation

The market values Ceesay at €1M. Model A, which never saw Ceesay during training, estimates €3.5M: the market value is 71% below that estimate.

That is a factor of ×3.51. 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 €3.9M, 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.

▼ −1.26A €3.5M▼ −1.36B €3.9M
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
37
Minutes
793
Goals
6
Assists
3
Started
5/37
Min / app
21
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 Ceesay…

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 €3.5M

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 1,583 attackers

Abdoulie Ceesay's percentiles among attackers: Goals per 90 97th, Assists per 90 94th, Minutes, two years 12th, Starts 1st, Minutes, last 365 days 11th, European club minutes 99th97thGoals94thAssists12thMinutes1stStarts11thRecent99thEurope

Dashed ring: the attacker median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

42% this player0% attacker median99th percentile

0%peer deciles · median line · this player ●100%

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
€25k
Jul 2024
Peak
€1M
May 2026
Model target
€1M
May 2026
Valuations
6
1 club change
May 2026€1MFC St. PauliValuation the model is trained to reproduce

May 2026: €1M, FC St. Pauli. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2024-07-12€25kPaide Linnameeskond
2024-11-11€200kPaide Linnameeskond
2025-03-27€500kFC St. Pauli
2025-06-05€500kFC St. Pauli
2025-12-19€800kFC St. Pauli
2026-05-27€1MFC St. Pauli

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
−1.255

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 →

Bundesliga451 players · median €5M

Valued above 7% of the 451 Bundesliga players.

€300k€2M€15M€100M€1MSee them in the Explorer →

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

Valued above 29% of the 1,583 attackers.

€20k€300k€5M€75M€1MSee them in the Explorer →

Where Ceesay 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).