TobiasStorm

CBCentre-BackDefender

Club: Lyngby Boldklub
League: Superliga
Nationality: Denmark
Age: 21
Height: 191 cm
Foot: Right
Valued: 18 Dec 2025

Reading the valuation

The market values Storm at €900k. Model A, which never saw Storm during training, estimates €465k: the market value is 93% above 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 €840k, 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.

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: 12
Minutes: 787
Goals: 0
Assists: 2
Started: 9/12
Min / app: 66
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 Storm…

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 €900k

Checking API

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

Dashed ring: the defender median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.23 this player0.04 defender median97th 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; Sept 2022
Peak: €900k; Dec 2025
Model target: €900k; Dec 2025
Valuations: 8; 1 club change

Dec 2025€900kLyngby BoldklubValuation the model is trained to reproduce

Dec 2025: €900k, Lyngby Boldklub. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table

Date	Market value	Club
2022-09-13	€100k	Lyngby BK U19
2022-12-22	€100k	Lyngby BK U19
2023-06-26	€250k	Lyngby BK U19
2023-12-21	€450k	Lyngby Boldklub
2024-06-10	€700k	Lyngby Boldklub
2024-12-09	€700k	Lyngby Boldklub
2025-06-16	€700k	Lyngby Boldklub
2025-12-18	€900k	Lyngby Boldklub

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: +0.660

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 →

Superliga256 players · median €800k

Valued above 54% of the 256 Superliga players.

See them in the Explorer →

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

Valued above 33% of the 2,065 defenders.

See them in the Explorer →

Where Storm appears

TerminalSuperliga in the Player Explorer
TerminalSuperliga on the League Landscape

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).