FairValue

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  • 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.

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Levy

Nene

CFCote d'Ivoire · FC Nordsjaelland

№ 1267429Emerging €759k +0.28

Player dossierSuperliga

LevyNene

CFCentre-ForwardAttack

Club
FC Nordsjaelland
League
Superliga
Nationality
Cote d'Ivoire
Age
20
Height
179 cm
Foot
–
Valued
25 May 2026

Reading the valuation

The market values Nene at €1M. Model A, which never saw Nene during training, estimates €759k: the market value is 32% above that estimate.

That is a factor of ×1.32. 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 €1.1M, 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.

▲ +0.28A €759k▼ −0.13B €1.1M
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
27
Minutes
587
Goals
7
Assists
1
Started
4/27
Min / app
22
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 Nene…

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 €759k

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

Levy Nene's percentiles among attackers: Goals per 90 100th, Assists per 90 53rd, Minutes, two years 5th, Starts 2nd, Minutes, last 365 days 7th, European club minutes 28th100thGoals53rdAssists5thMinutes2ndStarts7thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

1.07 this player0.26 attacker median100th 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
€300k
Dec 2024
Peak
€1M
May 2026
Model target
€1M
May 2026
Valuations
4
0 club changes
May 2026€1MFC NordsjaellandValuation the model is trained to reproduce

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

Show as a table
DateMarket valueClub
2024-12-09€300kFC Nordsjaelland
2025-06-16€700kFC Nordsjaelland
2025-12-15€750kFC Nordsjaelland
2026-05-25€1MFC Nordsjaelland

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
+0.276

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 →

Superliga256 players · median €800k

Valued above 57% of the 256 Superliga players.

€20k€150k€1M€7.5M€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 Nene 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).