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…

Portrait of Rafik Belghali

Rafik

Belghali

RBAlgeria · Hellas Verona

№ 864306Established €3.3M +0.76

Close-up

Image: FootyLogos

Player dossierSerie A

RafikBelghali

RBRight-BackDefender

Club
Hellas Verona
League
Serie A
Nationality
Algeria
Age
23
Height
180 cm
Foot
Right
Valued
29 May 2026

Reading the valuation

The market values Belghali at €7M. Model A, which never saw Belghali during training, estimates €3.3M: the market value is 115% above that estimate.

That is a factor of ×2.15. 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 €4M, 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.

▲ +0.76A €3.3M▲ +0.56B €4M
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
55
Minutes
3,730
Goals
3
Assists
1
Started
40/55
Min / app
68
Cards
9Y 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 Belghali…

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 €7M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €7MModel A €3.3M

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 2,065 defenders

Rafik Belghali's percentiles among defenders: Goals per 90 76th, Assists per 90 40th, Minutes, two years 65th, Starts 31st, Minutes, last 365 days 67th, European club minutes 30th76thGoals40thAssists65thMinutes31stStarts67thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Goals per 90

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

0.07 this player0.03 defender median76th percentile

0.00peer deciles · median line · this player ●0.41

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
€250k
Oct 2021
Peak
€7M
Dec 2025
Model target
€7M
May 2026
Valuations
13
2 club changes
May 2026€7MHellas VeronaValuation the model is trained to reproduce

May 2026: €7M, Hellas Verona. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2021-10-13€250kLommel SK
2022-01-13€400kLommel SK
2022-04-19€400kLommel SK
2022-12-22€700kLommel SK
2023-05-30€700kLommel SK
2023-12-19€700kKV Mechelen
2024-06-04€700kKV Mechelen
2024-12-11€800kKV Mechelen
2025-03-26€1.2MKV Mechelen
2025-06-12€2.5MKV Mechelen
2025-10-07€3.5MHellas Verona
2025-12-23€7MHellas Verona
2026-05-29€7MHellas Verona

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
+0.764

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 →

Serie A507 players · median €5.5M

Valued above 55% of the 507 Serie A players.

€100k€750k€5M€30M€7MSee them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 76% of the 2,065 defenders.

€20k€200k€2M€20M€7MSee them in the Explorer →

Where Belghali 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).