FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Conrad

Harder

CFDenmark · RB Leipzig

№ 807386Elite €28.3M −0.51

Player dossierBundesliga

ConradHarder

CFCentre-ForwardAttack

Club
RB Leipzig
League
Bundesliga
Nationality
Denmark
Age
21
Height
185 cm
Foot
Left
Valued
27 May 2026

Reading the valuation

The market values Harder at €17M. Model A, which never saw Harder during training, estimates €28.3M: the market value is 40% below that estimate.

That is a factor of ×1.67. 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 €21.4M, 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.

▼ −0.51A €28.3M▼ −0.23B €21.4M
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
84
Minutes
2,954
Goals
12
Assists
12
Started
28/84
Min / app
35
Cards
3Y 1R

Club matches, two years to the valuation date

The Valuation Journey

What moves Model A

Asking the prediction API to explain Model A for Harder…

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 €17M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €17MModel A €28.3M

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 1,583 attackers

Conrad Harder's percentiles among attackers: Goals per 90 70th, Assists per 90 96th, Minutes, two years 66th, Starts 14th, Minutes, last 365 days 45th, European club minutes 72nd70thGoals96thAssists66thMinutes14thStarts45thRecent72ndEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.37 this player0.15 attacker median96th percentile

0.00peer deciles · median line · this player ●0.73

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
€250k
Jun 2023
Peak
€24M
Mar 2025
Model target
€17M
May 2026
Valuations
10
3 club changes
May 2026€17MRB LeipzigValuation the model is trained to reproduce

May 2026: €17M, RB Leipzig. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-06-26€250kFC Nordsjaelland U19
2023-12-21€1MFC Nordsjaelland
2024-06-10€2MFC Nordsjaelland
2024-10-08€16MSporting CP
2024-12-19€18MSporting CP
2025-03-31€24MSporting CP
2025-05-30€24MSporting CP
2025-12-19€24MRB Leipzig
2026-03-20€20MRB Leipzig
2026-05-27€17MRB Leipzig

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
−0.511

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 →

Bundesliga451 players · median €5M

Valued above 78% of the 451 Bundesliga players.

€300k€2M€15M€100M€17MSee them in the Explorer →

Attackers, all leagues1,583 players · median €2.5M

Valued above 84% of the 1,583 attackers.

€20k€300k€5M€75M€17MSee them in the Explorer →

Where Harder 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).