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…

Óscar

Perea

LWColombia · Avs Futebol

№ 1015624Emerging €602k +0.91

Player dossierLiga Portugal

ÓscarPerea

LWLeft WingerAttack

Club
Avs Futebol
League
Liga Portugal
Nationality
Colombia
Age
20
Height
174 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values Perea at €1.5M. Model A, which never saw Perea during training, estimates €602k: the market value is 149% above that estimate.

That is a factor of ×2.49. 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 €813k, closer to the market here, although it is usually further off (typical miss ×2.07).

A gap describes the model's arithmetic for this player's inputs, not what the player is worth.

▲ +0.91A €602k▲ +0.61B €813k
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
27
Minutes
1,270
Goals
2
Assists
0
Started
14/27
Min / app
47
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 Perea…

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 €1.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1.5MModel A €602k

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

Óscar Perea's percentiles among attackers: Goals per 90 21st, Assists per 90 6th, Minutes, two years 26th, Starts 38th, Minutes, last 365 days 49th, European club minutes 28th21stGoals6thAssists26thMinutes38thStarts49thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Minutes, last 365 days

Club minutes in the final year of the window: recent involvement, or the absence of it.

1,258 this player1,301 attacker median49th percentile

0peer deciles · median line · this player ●4,703

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
€100k
Apr 2023
Peak
€3M
Oct 2024
Model target
€1.5M
May 2026
Valuations
11
2 club changes
May 2026€1.5MAvs FutebolValuation the model is trained to reproduce

May 2026: €1.5M, Avs Futebol. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-04-12€100kAtlético Nacional
2023-07-07€250kAtlético Nacional
2023-09-15€850kAtlético Nacional
2023-12-07€1.3MAtlético Nacional
2024-03-05€2.2MAtlético Nacional
2024-06-11€2MAtlético Nacional
2024-10-07€3MRC Strasbourg Alsace
2024-12-10€2.5MRC Strasbourg Alsace
2025-06-03€2MRC Strasbourg Alsace
2025-12-18€2MAvs Futebol
2026-05-28€1.5MAvs Futebol

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
+0.913

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 →

Liga Portugal423 players · median €1M

Valued above 53% of the 423 Liga Portugal players.

€20k€200k€2M€20M€1.5MSee them in the Explorer →

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

Valued above 37% of the 1,583 attackers.

€20k€300k€5M€75M€1.5MSee them in the Explorer →

Where Perea 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).