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…

Matija

Frigan

CFCroatia · Parma Calcio 1913

№ 840149Established €3M +0.86

Player dossierSerie A

MatijaFrigan

CFCentre-ForwardAttack

Club
Parma Calcio 1913
League
Serie A
Nationality
Croatia
Age
23
Height
185 cm
Foot
Left
Valued
29 May 2026

Reading the valuation

The market values Frigan at €7M. Model A, which never saw Frigan during training, estimates €3M: the market value is 137% above that estimate.

That is a factor of ×2.37. 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 €2.1M, 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.

▲ +0.86A €3M▲ +1.21B €2.1M
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
33
Minutes
2,035
Goals
10
Assists
3
Started
23/33
Min / app
62
Cards
7Y 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 Frigan…

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 €7M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €7MModel A €3M

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

Matija Frigan's percentiles among attackers: Goals per 90 82nd, Assists per 90 44th, Minutes, two years 46th, Starts 68th, Minutes, last 365 days 5th, European club minutes 28th82ndGoals44thAssists46thMinutes68thStarts5thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.44 this player0.26 attacker median82nd percentile

0.00peer deciles · median line · this player ●1.17

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
Dec 2020
Peak
€7.5M
Jun 2025
Model target
€7M
May 2026
Valuations
12
5 club changes
May 2026€7MParma Calcio 1913Valuation the model is trained to reproduce

May 2026: €7M, Parma Calcio 1913. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2020-12-28€100kHNK Rijeka U19
2021-12-30€550kHNK Orijent Rijeka
2022-06-06€650kNK Hrvatski Dragovoljac
2022-11-08€850kHNK Rijeka
2023-06-06€3.5MHNK Rijeka
2023-10-23€5MKVC Westerlo
2023-12-19€4MKVC Westerlo
2024-06-04€3MKVC Westerlo
2024-12-11€5MKVC Westerlo
2025-06-12€7.5MKVC Westerlo
2025-12-23€7.5MParma Calcio 1913
2026-05-29€7MParma Calcio 1913

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
+0.862

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 55% of the 507 Serie A players.

€100k€750k€5M€30M€7MSee them in the Explorer →

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

Valued above 70% of the 1,583 attackers.

€20k€300k€5M€75M€7MSee them in the Explorer →

Where Frigan 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).