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 Ivan Smolcic

Ivan

Smolcic

RBCroatia · Como 1907

№ 571271Established €9.5M −1.00

Close-up

Image: FootyLogos

Player dossierSerie A

IvanSmolcic

RBRight-BackDefender

Club
Como 1907
League
Serie A
Nationality
Croatia
Age
25
Height
181 cm
Foot
Right
Valued
29 May 2026

Reading the valuation

The market values Smolcic at €3.5M. Model A, which never saw Smolcic during training, estimates €9.5M: the market value is 63% below that estimate.

That is a factor of ×2.70. 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 €3.4M, 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.

▼ −1.00A €9.5M▲ +0.04B €3.4M
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
2,846
Goals
0
Assists
2
Started
31/46
Min / app
62
Cards
10Y 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 Smolcic…

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 €3.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €3.5MModel A €9.5M

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 2,065 defenders

Ivan Smolcic's percentiles among defenders: Goals per 90 18th, Assists per 90 65th, Minutes, two years 50th, Starts 24th, Minutes, last 365 days 58th, European club minutes 73rd18thGoals65thAssists50thMinutes24thStarts58thRecent73rdEurope

Dashed ring: the defender median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

11% this player0% defender median73rd percentile

0%peer deciles · median line · this player ●85%

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
€150k
Jun 2021
Peak
€3.5M
May 2026
Model target
€3.5M
May 2026
Valuations
12
3 club changes
May 2026€3.5MComo 1907Valuation the model is trained to reproduce

May 2026: €3.5M, Como 1907. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2021-06-30€150kHNK Rijeka
2021-12-30€50kHNK Rijeka
2022-03-22€150kNK Hrvatski Dragovoljac
2022-06-06€300kNK Hrvatski Dragovoljac
2022-11-08€400kHNK Rijeka
2023-06-06€400kHNK Rijeka
2023-12-18€1.2MHNK Rijeka
2024-06-04€2MHNK Rijeka
2024-12-23€2MHNK Rijeka
2025-06-17€1.8MComo 1907
2025-12-23€2.5MComo 1907
2026-05-29€3.5MComo 1907

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
−0.995

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 34% of the 507 Serie A players.

€100k€750k€5M€30M€3.5MSee them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 63% of the 2,065 defenders.

€20k€200k€2M€20M€3.5MSee them in the Explorer →

Where Smolcic 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).