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…

Luka

Tunjic

AMCroatia · Fortuna Sittard

№ 915445Emerging €578k −0.66

Player dossierEredivisie

LukaTunjic

AMAttacking MidfieldMidfield

Club
Fortuna Sittard
League
Eredivisie
Nationality
Croatia
Age
20
Height
183 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values Tunjic at €300k. Model A, which never saw Tunjic during training, estimates €578k: the market value is 48% below that estimate.

That is a factor of ×1.93. 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 €1.5M, 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.

▼ −0.66A €578k▼ −1.62B €1.5M
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
29
Minutes
898
Goals
3
Assists
1
Started
7/29
Min / app
31
Cards
1Y 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 Tunjic…

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 €300k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €300kModel A €578k

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 1,687 midfielders

Luka Tunjic's percentiles among midfielders: Goals per 90 93rd, Assists per 90 52nd, Minutes, two years 11th, Starts 3rd, Minutes, last 365 days 9th, European club minutes 30th93rdGoals52ndAssists11thMinutes3rdStarts9thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

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

0.30 this player0.08 midfielder median93rd percentile

0.00peer deciles · median line · this player ●0.93

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
€200k
Oct 2024
Peak
€600k
Oct 2025
Model target
€300k
May 2026
Valuations
8
0 club changes
May 2026€300kFortuna SittardValuation the model is trained to reproduce

May 2026: €300k, Fortuna Sittard. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2024-10-03€200kFortuna Sittard
2024-12-17€200kFortuna Sittard
2025-03-28€400kFortuna Sittard
2025-05-28€450kFortuna Sittard
2025-10-02€600kFortuna Sittard
2025-12-02€500kFortuna Sittard
2026-03-11€400kFortuna Sittard
2026-05-28€300kFortuna Sittard

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
−0.656

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 →

Eredivisie425 players · median €1M

Valued above 8% of the 425 Eredivisie players.

€75k€500k€3M€20M€300kSee them in the Explorer →

Midfielders, all leagues1,687 players · median €2M

Valued above 7% of the 1,687 midfielders.

€20k€200k€2M€20M€300kSee them in the Explorer →

Where Tunjic 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).