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…

Lucas

Høgsberg

CBDenmark · RC Strasbourg Alsace

№ 926978Elite €19.6M −0.08

Player dossierLigue 1

LucasHøgsberg

CBCentre-BackDefender

Club
RC Strasbourg Alsace
League
Ligue 1
Nationality
Denmark
Age
19
Height
187 cm
Foot
Right
Valued
1 Jun 2026

Reading the valuation

The market values Høgsberg at €18M. Model A, which never saw Høgsberg during training, estimates €19.6M: the market value is 8% below that estimate.

That is a factor of ×1.09. 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 €13.4M, 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.

▼ −0.08A €19.6M▲ +0.30B €13.4M
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
48
Minutes
3,619
Goals
0
Assists
1
Started
40/48
Min / app
75
Cards
6Y 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 Høgsberg…

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 €18M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €18MModel A €19.6M

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

Lucas Høgsberg's percentiles among defenders: Goals per 90 18th, Assists per 90 41st, Minutes, two years 64th, Starts 52nd, Minutes, last 365 days 66th, European club minutes 63rd18thGoals41stAssists64thMinutes52ndStarts66thRecent63rdEurope

Dashed ring: the defender median (50th percentile)

Minutes, last 365 days

Club minutes in the final year of the window: recent involvement, or the absence of it.

2,158 this player1,687 defender median66th percentile

0peer deciles · median line · this player ●4,941

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
Jun 2023
Peak
€18M
Jun 2026
Model target
€18M
Jun 2026
Valuations
9
1 club change
Jun 2026€18MRC Strasbourg AlsaceValuation the model is trained to reproduce

Jun 2026: €18M, RC Strasbourg Alsace. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-06-26€200kFC Nordsjaelland
2023-12-21€200kFC Nordsjaelland
2024-06-10€200kFC Nordsjaelland
2024-12-09€800kFC Nordsjaelland
2025-06-16€3.5MFC Nordsjaelland
2025-10-10€10MRC Strasbourg Alsace
2025-12-15€12MRC Strasbourg Alsace
2026-03-27€15MRC Strasbourg Alsace
2026-06-01€18MRC Strasbourg Alsace

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
−0.083

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 →

Ligue 1423 players · median €5M

Valued above 82% of the 423 Ligue 1 players.

€100k€750k€5M€30M€18MSee them in the Explorer →

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

Valued above 89% of the 2,065 defenders.

€20k€200k€2M€20M€18MSee them in the Explorer →

Where Høgsberg 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).