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…

Emil

Holm

RBSweden · Juventus FC

№ 496745Elite €7M +0.36

Player dossierSerie A

EmilHolm

RBRight-BackDefender

Club
Juventus FC
League
Serie A
Nationality
Sweden
Age
26
Height
191 cm
Foot
Right
Valued
29 May 2026

Reading the valuation

The market values Holm at €10M. Model A, which never saw Holm during training, estimates €7M: the market value is 44% above that estimate.

That is a factor of ×1.44. Model A's typical held-out miss is ×1.50 either way, so this gap is within its usual error.

Without league and club, Model B estimates €6.1M, 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.

▲ +0.36A €7M▲ +0.50B €6.1M
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
57
Minutes
3,173
Goals
2
Assists
6
Started
35/57
Min / app
56
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 Holm…

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 €10M

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

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

Emil Holm's percentiles among defenders: Goals per 90 68th, Assists per 90 92nd, Minutes, two years 56th, Starts 17th, Minutes, last 365 days 44th, European club minutes 80th68thGoals92ndAssists56thMinutes17thStarts44thRecent80thEurope

Dashed ring: the defender median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.17 this player0.04 defender median92nd percentile

0.00peer deciles · median line · this player ●0.58

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 2019
Peak
€13M
Dec 2025
Model target
€10M
May 2026
Valuations
22
6 club changes
May 2026€10MJuventus FCValuation the model is trained to reproduce

May 2026: €10M, Juventus FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2019-06-28€100kIFK Göteborg U19
2019-11-20€200kIFK Göteborg
2020-08-05€300kIFK Göteborg
2020-12-10€300kIFK Göteborg
2021-06-04€700kSönderjyskE
2021-10-06€800kSönderjyskE
2021-12-28€800kSönderjyskE
2022-06-20€800kSönderjyskE
2022-09-27€1.2MSpezia Calcio
2022-11-11€2.5MSpezia Calcio
2023-03-21€5MSpezia Calcio
2023-06-15€5MSpezia Calcio
2023-10-11€7MAtalanta BC
2023-12-20€7MAtalanta BC
2024-03-12€12MAtalanta BC
2024-06-05€12MAtalanta BC
2024-10-18€8.5MBologna FC 1909
2024-12-18€7MBologna FC 1909
2025-03-25€8MBologna FC 1909
2025-06-17€8MBologna FC 1909
2025-12-23€13MBologna FC 1909
2026-05-29€10MJuventus FC

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
+0.362

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 65% of the 507 Serie A players.

€100k€750k€5M€30M€10MSee them in the Explorer →

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

Valued above 81% of the 2,065 defenders.

€20k€200k€2M€20M€10MSee them in the Explorer →

Where Holm 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).