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.
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  • TerminalWatchlistsNamed collections, kept in this browser.
  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Portrait of Dodi Lukébakio

Dodi

Lukébakio

RWBelgium · SL Benfica

№ 303259Elite €6.9M +0.77

Image: FootyLogos

Player dossierLiga Portugal

DodiLukébakio

RWRight WingerAttack

Club
SL Benfica
League
Liga Portugal
Nationality
Belgium
Age
28
Height
184 cm
Foot
Left
Valued
28 May 2026

Reading the valuation

The market values Lukébakio at €15M. Model A, which never saw Lukébakio during training, estimates €6.9M: the market value is 116% above that estimate.

That is a factor of ×2.16. 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 €4.7M, 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.

▲ +0.77A €6.9M▲ +1.17B €4.7M
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
63
Minutes
4,469
Goals
13
Assists
7
Started
51/63
Min / app
71
Cards
6Y 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 Lukébakio…

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 €15M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €15MModel A €6.9M

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

Dodi Lukébakio's percentiles among attackers: Goals per 90 50th, Assists per 90 48th, Minutes, two years 86th, Starts 84th, Minutes, last 365 days 49th, European club minutes 65th50thGoals48thAssists86thMinutes84thStarts49thRecent65thEurope

Dashed ring: the attacker median (50th percentile)

Minutes, two years

Total club minutes in the two-year window: how much the player was used.

4,469 this player2,242 attacker median86th percentile

450peer deciles · median line · this player ●8,788

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
€1M
Feb 2016
Peak
€25M
Mar 2025
Model target
€15M
May 2026
Valuations
28
9 club changes
May 2026€15MSL BenficaValuation the model is trained to reproduce

May 2026: €15M, SL Benfica. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2016-02-07€1MRSC Anderlecht
2016-07-15€1MRSC Anderlecht
2017-01-16€800kFC Toulouse
2017-06-01€800kFC Toulouse
2017-10-20€1.2MRoyal Charleroi SC
2018-01-09€3MRoyal Charleroi SC
2018-05-28€3MWatford FC
2018-12-18€6MFortuna Düsseldorf
2019-03-06€10MFortuna Düsseldorf
2019-06-05€18MFortuna Düsseldorf
2019-12-17€21MHertha BSC
2020-04-08€17MHertha BSC
2020-07-08€19MHertha BSC
2021-02-10€15MHertha BSC
2021-06-09€13MHertha BSC
2021-12-22€13MVfL Wolfsburg
2022-03-24€9MVfL Wolfsburg
2022-06-09€7.5MVfL Wolfsburg
2022-11-09€12MHertha BSC
2023-06-22€12MHertha BSC
2023-10-13€15MSevilla FC
2023-12-22€15MSevilla FC
2024-06-07€12MSevilla FC
2024-12-27€20MSevilla FC
2025-03-21€25MSevilla FC
2025-06-09€20MSevilla FC
2025-12-18€20MSL Benfica
2026-05-28€15MSL Benfica

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
+0.771

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 →

Liga Portugal423 players · median €1M

Valued above 90% of the 423 Liga Portugal players.

€20k€200k€2M€20M€15MSee them in the Explorer →

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

Valued above 81% of the 1,583 attackers.

€20k€300k€5M€75M€15MSee them in the Explorer →

Where Lukébakio 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).