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…

Portrait of Petar Ratkov

Petar

Ratkov

CFSerbia · SS Lazio

№ 846254Established €2.2M +1.41

Image: FootyLogos

Player dossierSerie A

PetarRatkov

CFCentre-ForwardAttack

Club
SS Lazio
League
Serie A
Nationality
Serbia
Age
22
Height
193 cm
Foot
Right
Valued
29 May 2026

Reading the valuation

The market values Ratkov at €9M. Model A, which never saw Ratkov during training, estimates €2.2M: the market value is 312% above that estimate.

That is a factor of ×4.12. 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 €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.

▲ +1.41A €2.2M▲ +2.17B €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
17
Minutes
576
Goals
0
Assists
0
Started
6/17
Min / app
34
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 Ratkov…

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 €9M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €9MModel A €2.2M

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

Petar Ratkov's percentiles among attackers: Goals per 90 3rd, Assists per 90 6th, Minutes, two years 4th, Starts 15th, Minutes, last 365 days 18th, European club minutes 99th3rdGoals6thAssists4thMinutes15thStarts18thRecent99thEurope

Dashed ring: the attacker median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

60% this player0% attacker median99th percentile

0%peer deciles · median line · this player ●100%

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
Jun 2021
Peak
€10M
Mar 2026
Model target
€9M
May 2026
Valuations
14
2 club changes
May 2026€9MSS LazioValuation the model is trained to reproduce

May 2026: €9M, SS Lazio. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2021-06-12€100kFK TSC Backa Topola
2021-12-25€300kFK TSC Backa Topola
2022-06-26€300kFK TSC Backa Topola
2022-11-18€600kFK TSC Backa Topola
2023-06-22€4MFK TSC Backa Topola
2023-12-11€5MRed Bull Salzburg
2024-03-11€6MRed Bull Salzburg
2024-05-21€5MRed Bull Salzburg
2024-12-17€4MRed Bull Salzburg
2025-06-06€3MRed Bull Salzburg
2025-09-22€5MRed Bull Salzburg
2025-12-22€7MRed Bull Salzburg
2026-03-24€10MSS Lazio
2026-05-29€9MSS Lazio

Audit context group-level, not about this player

Audit group
UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+1.415

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 →

Serie A507 players · median €5.5M

Valued above 64% of the 507 Serie A players.

€100k€750k€5M€30M€9MSee them in the Explorer →

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

Valued above 76% of the 1,583 attackers.

€20k€300k€5M€75M€9MSee them in the Explorer →

Where Ratkov 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).