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…

Talles

Costa

CMBrazil · Polissya Zhytomyr

№ 627222Emerging €1.4M −0.34

Player dossierPremier Liha

TallesCosta

CMCentral MidfieldMidfield

Club
Polissya Zhytomyr
League
Premier Liha
Nationality
Brazil
Age
23
Height
176 cm
Foot
Right
Valued
18 Dec 2025

Reading the valuation

The market values Costa at €1M. Model A, which never saw Costa during training, estimates €1.4M: the market value is 29% below that estimate.

That is a factor of ×1.41. 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 €6.1M, 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.

▼ −0.34A €1.4M▼ −1.81B €6.1M
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
46
Minutes
2,370
Goals
1
Assists
6
Started
25/46
Min / app
52
Cards
11Y 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 Costa…

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 €1M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1MModel A €1.4M

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

Talles Costa's percentiles among midfielders: Goals per 90 28th, Assists per 90 89th, Minutes, two years 45th, Starts 27th, Minutes, last 365 days 23rd, European club minutes 73rd28thGoals89thAssists45thMinutes27thStarts23rdRecent73rdEurope

Dashed ring: the midfielder median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.23 this player0.09 midfielder median89th 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
€1.2M
May 2021
Peak
€2M
Nov 2022
Model target
€1M
Dec 2025
Valuations
12
1 club change
Dec 2025€1MPolissya ZhytomyrValuation the model is trained to reproduce

Dec 2025: €1M, Polissya Zhytomyr. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2021-05-28€1.2MSão Paulo Futebol Clube
2021-12-17€1.2MSão Paulo Futebol Clube
2022-04-06€1.2MSão Paulo Futebol Clube
2022-08-19€1.2MSão Paulo Futebol Clube
2022-11-14€2MSão Paulo Futebol Clube
2023-04-07€2MSão Paulo Futebol Clube
2023-07-25€2MSão Paulo Futebol Clube
2023-12-11€2MSão Paulo Futebol Clube
2024-06-06€1.8MPolissya Zhytomyr
2024-12-17€1.5MPolissya Zhytomyr
2025-06-10€1MPolissya Zhytomyr
2025-12-18€1MPolissya Zhytomyr

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
−0.345

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 77% of the 414 Premier Liha players.

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

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

Valued above 32% of the 1,687 midfielders.

€20k€200k€2M€20M€1MSee them in the Explorer →

Where Costa 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).