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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  • TerminalPlayer ExplorerSearch, filter and sort the player export.
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  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Elies

Mahmoud

RWFrance · Randers FC

№ 804664Emerging €783k −0.04

Player dossierSuperliga

EliesMahmoud

RWRight WingerAttack

Club
Randers FC
League
Superliga
Nationality
France
Age
25
Height
171 cm
Foot
Left
Valued
25 May 2026

Reading the valuation

The market values Mahmoud at €750k. Model A, which never saw Mahmoud during training, estimates €783k: the market value is 4% below that estimate.

That is a factor of ×1.04. 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 €807k, 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.

▼ −0.04A €783k▼ −0.07B €807k
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
28
Minutes
1,797
Goals
2
Assists
2
Started
22/28
Min / app
64
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 Mahmoud…

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 €750k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €750kModel A €783k

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

Elies Mahmoud's percentiles among attackers: Goals per 90 14th, Assists per 90 32nd, Minutes, two years 39th, Starts 81st, Minutes, last 365 days 61st, European club minutes 28th14thGoals32ndAssists39thMinutes81stStarts61stRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

79% this player59% attacker median81st percentile

5%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
€400k
Nov 2020
Peak
€800k
Jun 2023
Model target
€750k
May 2026
Valuations
13
2 club changes
May 2026€750kRanders FCValuation the model is trained to reproduce

May 2026: €750k, Randers FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2020-11-11€400kLe Havre AC
2021-06-25€500kLe Havre AC
2021-12-27€400kLe Havre AC
2022-06-02€300kLe Havre AC
2022-10-28€700kLe Havre AC
2023-06-16€800kLe Havre AC
2023-10-19€800kFC Stade-Lausanne-Ouchy
2023-12-21€800kFC Stade-Lausanne-Ouchy
2024-05-31€800kFC Stade-Lausanne-Ouchy
2024-12-23€500kFC Stade-Lausanne-Ouchy
2025-06-16€450kRanders FC
2025-12-15€650kRanders FC
2026-05-25€750kRanders FC

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
−0.043

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 43% of the 256 Superliga players.

€20k€150k€1M€7.5M€750kSee them in the Explorer →

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

Valued above 24% of the 1,583 attackers.

€20k€300k€5M€75M€750kSee them in the Explorer →

Where Mahmoud 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).