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.
  • 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.

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Mateus

Amaral

AMBrazil · FC Oleksandriya

№ 1027018Emerging €402k −0.48

Player dossierPremier Liha

MateusAmaral

AMAttacking MidfieldMidfield

Club
FC Oleksandriya
League
Premier Liha
Nationality
Brazil
Age
21
Height
179 cm
Foot
Left
Valued
2 Jun 2026

Reading the valuation

The market values Amaral at €250k. Model A, which never saw Amaral during training, estimates €402k: the market value is 38% below that estimate.

That is a factor of ×1.61. 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 €1.1M, 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.

▼ −0.48A €402k▼ −1.49B €1.1M
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
16
Minutes
692
Goals
2
Assists
0
Started
7/16
Min / app
43
Cards
0Y 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 Amaral…

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 €250k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €250kModel A €402k

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

Mateus Amaral's percentiles among midfielders: Goals per 90 90th, Assists per 90 8th, Minutes, two years 6th, Starts 15th, Minutes, last 365 days 18th, European club minutes 79th90thGoals8thAssists6thMinutes15thStarts18thRecent79thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

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

0.26 this player0.08 midfielder median90th percentile

0.00peer deciles · median line · this player ●0.93

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
Sept 2025
Peak
€250k
Jun 2026
Model target
€250k
Jun 2026
Valuations
3
0 club changes
Jun 2026€250kFC OleksandriyaValuation the model is trained to reproduce

Jun 2026: €250k, FC Oleksandriya. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2025-09-10€200kFC Oleksandriya
2025-12-18€200kFC Oleksandriya
2026-06-02€250kFC Oleksandriya

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
−0.476

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 →

Premier Liha414 players · median €400k

Valued above 17% of the 414 Premier Liha players.

€50k€200k€1M€5M€250kSee them in the Explorer →

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

Valued above 5% of the 1,687 midfielders.

€20k€200k€2M€20M€250kSee them in the Explorer →

Where Amaral 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).