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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Bill

Antonio

RWZimbabwe · KV Mechelen

№ 956050Emerging €1.2M +0.03

Player dossierPro League

BillAntonio

RWRight WingerAttack

Club
KV Mechelen
League
Pro League
Nationality
Zimbabwe
Age
23
Height
177 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Antonio at €1.2M. Model A, which never saw Antonio during training, estimates €1.2M: the market value is 3% above that estimate.

That is a factor of ×1.03. 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 €834k, 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.

▲ +0.03A €1.2M▲ +0.36B €834k
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
41
Minutes
1,505
Goals
1
Assists
3
Started
10/41
Min / app
37
Cards
3Y 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 Antonio…

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 €1.2M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1.2MModel A €1.2M

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 1,583 attackers

Bill Antonio's percentiles among attackers: Goals per 90 9th, Assists per 90 63rd, Minutes, two years 32nd, Starts 6th, Minutes, last 365 days 44th, European club minutes 28th9thGoals63rdAssists32ndMinutes6thStarts44thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.18 this player0.15 attacker median63rd percentile

0.00peer deciles · median line · this player ●0.73

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
€50k
Dec 2021
Peak
€1.2M
Mar 2024
Model target
€1.2M
Jun 2026
Valuations
9
2 club changes
Jun 2026€1.2MKV MechelenValuation the model is trained to reproduce

Jun 2026: €1.2M, KV Mechelen. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2021-12-31€50kUnknown
2023-06-09€25kJong KV Mechelen
2023-12-19€50kJong KV Mechelen
2024-03-22€1.2MKV Mechelen
2024-06-04€1.2MKV Mechelen
2024-12-11€1.2MKV Mechelen
2025-06-12€1.2MKV Mechelen
2025-12-10€1.2MKV Mechelen
2026-06-04€1.2MKV Mechelen

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
+0.030

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 →

Pro League350 players · median €1.8M

Valued above 34% of the 350 Pro League players.

€100k€750k€5M€30M€1.2MSee them in the Explorer →

Attackers, all leagues1,583 players · median €2.5M

Valued above 34% of the 1,583 attackers.

€20k€300k€5M€75M€1.2MSee them in the Explorer →

Where Antonio 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).