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…

Ludovic

Blas

RMFrance · Stade Rennais FC

№ 288225Elite €9.2M +0.09

Player dossierLigue 1

LudovicBlas

RMRight MidfieldMidfield

Club
Stade Rennais FC
League
Ligue 1
Nationality
France
Age
28
Height
180 cm
Foot
Left
Valued
1 Jun 2026

Reading the valuation

The market values Blas at €10M. Model A, which never saw Blas during training, estimates €9.2M: the market value is 9% above that estimate.

That is a factor of ×1.09. 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 €5.2M, 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.

▲ +0.09A €9.2M▲ +0.65B €5.2M
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
61
Minutes
3,844
Goals
11
Assists
13
Started
41/61
Min / app
63
Cards
7Y 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 Blas…

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 €10M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €10MModel A €9.2M

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 1,687 midfielders

Ludovic Blas's percentiles among midfielders: Goals per 90 90th, Assists per 90 96th, Minutes, two years 71st, Starts 46th, Minutes, last 365 days 50th, European club minutes 30th90thGoals96thAssists71stMinutes46thStarts50thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.30 this player0.09 midfielder median96th percentile

0.00peer deciles · median line · this player ●0.74

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 2015
Peak
€22M
Oct 2023
Model target
€10M
Jun 2026
Valuations
34
2 club changes
Jun 2026€10MStade Rennais FCValuation the model is trained to reproduce

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

Show as a table
DateMarket valueClub
2015-07-24€150kEA Guingamp
2016-02-04€300kEA Guingamp
2016-07-13€800kEA Guingamp
2016-11-01€1.8MEA Guingamp
2017-01-16€2.3MEA Guingamp
2017-06-01€3MEA Guingamp
2018-01-24€5MEA Guingamp
2018-06-04€5MEA Guingamp
2018-12-17€5MEA Guingamp
2019-06-03€5MEA Guingamp
2019-09-27€7MFC Nantes
2019-12-19€9MFC Nantes
2020-03-13€10MFC Nantes
2020-04-08€8MFC Nantes
2020-08-03€10MFC Nantes
2020-10-15€12MFC Nantes
2021-01-07€13MFC Nantes
2021-06-04€13MFC Nantes
2021-10-08€15MFC Nantes
2021-12-16€16MFC Nantes
2022-05-30€16MFC Nantes
2022-11-02€15MFC Nantes
2023-03-27€18MFC Nantes
2023-06-27€20MFC Nantes
2023-10-16€22MStade Rennais FC
2023-12-18€20MStade Rennais FC
2024-03-19€18MStade Rennais FC
2024-06-03€15MStade Rennais FC
2024-12-10€15MStade Rennais FC
2025-03-24€18MStade Rennais FC
2025-06-03€18MStade Rennais FC
2025-12-15€15MStade Rennais FC
2026-03-27€10MStade Rennais FC
2026-06-01€10MStade Rennais 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
+0.088

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 66% of the 423 Ligue 1 players.

€100k€750k€5M€30M€10MSee them in the Explorer →

Midfielders, all leagues1,687 players · median €2M

Valued above 78% of the 1,687 midfielders.

€20k€200k€2M€20M€10MSee them in the Explorer →

Where Blas 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).