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…

Sayfallah

Ltaief

LMTunisia · Sparta Rotterdam

№ 388220Emerging €2M −0.41

Player dossierEredivisie

SayfallahLtaief

LMLeft MidfieldMidfield

Club
Sparta Rotterdam
League
Eredivisie
Nationality
Tunisia
Age
25
Height
178 cm
Foot
Right
Valued
2 Dec 2025

Reading the valuation

The market values Ltaief at €1.3M. Model A, which never saw Ltaief during training, estimates €2M: the market value is 33% below that estimate.

That is a factor of ×1.50. 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 €4.2M, 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.

▼ −0.41A €2M▼ −1.16B €4.2M
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
53
Minutes
2,396
Goals
4
Assists
2
Started
25/53
Min / app
45
Cards
1Y 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 Ltaief…

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 €1.3M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1.3MModel A €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

Sayfallah Ltaief's percentiles among midfielders: Goals per 90 72nd, Assists per 90 41st, Minutes, two years 46th, Starts 18th, Minutes, last 365 days 57th, European club minutes 87th72ndGoals41stAssists46thMinutes18thStarts57thRecent87thEurope

Dashed ring: the midfielder median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

22% this player0% midfielder median87th percentile

0%peer deciles · median line · this player ●85%

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
€200k
Jul 2020
Peak
€2M
May 2024
Model target
€1.3M
Dec 2025
Valuations
16
4 club changes
Dec 2025€1.3MSparta RotterdamValuation the model is trained to reproduce

Dec 2025: €1.3M, Sparta Rotterdam. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2020-07-31€200kFC Winterthur
2021-01-12€400kFC Winterthur
2021-04-21€300kFC Winterthur
2021-06-23€300kFC Winterthur
2022-01-03€200kFC Winterthur
2022-06-08€350kFC Winterthur
2022-11-10€350kFC Basel 1893
2023-03-28€400kFC Winterthur
2023-06-07€400kFC Winterthur
2023-10-19€700kFC Winterthur
2023-12-21€1MFC Winterthur
2024-03-28€1.5MFC Winterthur
2024-05-31€2MFC Winterthur
2024-12-17€2MFC Twente Enschede
2025-05-28€1.8MFC Twente Enschede
2025-12-02€1.3MSparta Rotterdam

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
−0.406

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 →

Eredivisie425 players · median €1M

Valued above 52% of the 425 Eredivisie players.

€75k€500k€3M€20M€1.3MSee them in the Explorer →

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

Valued above 38% of the 1,687 midfielders.

€20k€200k€2M€20M€1.3MSee them in the Explorer →

Where Ltaief 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).