FairValue

Checking model

Esc

  • 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.

↑ ↓ to move · Enter to open · Esc to closeLoading player index…

Alimami

Gory

LWFrance · Paris FC

№ 435492Emerging €2.2M −0.40

Player dossierLigue 1

AlimamiGory

LWLeft WingerAttack

Club
Paris FC
League
Ligue 1
Nationality
France
Age
29
Height
182 cm
Foot
Right
Valued
1 Jun 2026

Reading the valuation

The market values Gory at €1.5M. Model A, which never saw Gory during training, estimates €2.2M: the market value is 33% below that estimate.

That is a factor of ×1.48. 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 €1.8M, 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.

▼ −0.40A €2.2M▼ −0.17B €1.8M
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
24
Minutes
978
Goals
5
Assists
2
Started
9/24
Min / app
41
Cards
3Y 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 Gory…

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 €2.2M

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

Alimami Gory's percentiles among attackers: Goals per 90 84th, Assists per 90 64th, Minutes, two years 18th, Starts 18th, Minutes, last 365 days 36th, European club minutes 28th84thGoals64thAssists18thMinutes18thStarts36thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.46 this player0.26 attacker median84th 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
€150k
Jul 2016
Peak
€1.5M
Jun 2025
Model target
€1.5M
Jun 2026
Valuations
22
3 club changes
Jun 2026€1.5MParis FCValuation the model is trained to reproduce

Jun 2026: €1.5M, Paris FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2016-07-13€150kLe Havre AC
2017-03-20€150kLe Havre AC
2017-06-15€400kLe Havre AC
2018-05-16€500kLe Havre AC
2019-01-08€800kLe Havre AC
2019-09-13€1.2MCercle Brugge
2019-12-13€1.2MCercle Brugge
2020-04-08€950kCercle Brugge
2020-11-11€950kESTAC Troyes
2021-06-25€1.3MESTAC Troyes
2021-10-27€1MParis FC
2021-12-27€1MParis FC
2022-06-02€800kParis FC
2022-10-28€800kParis FC
2023-06-16€800kParis FC
2023-12-13€800kParis FC
2024-03-26€1MParis FC
2024-06-11€1MParis FC
2024-12-04€1MParis FC
2025-06-02€1.5MParis FC
2025-12-15€1.2MParis FC
2026-06-01€1.5MParis 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
−0.395

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 →

Ligue 1423 players · median €5M

Valued above 13% of the 423 Ligue 1 players.

€100k€750k€5M€30M€1.5MSee them in the Explorer →

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

Valued above 37% of the 1,583 attackers.

€20k€300k€5M€75M€1.5MSee them in the Explorer →

Where Gory 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).