FairValue

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

Hack

LWGermany · Borussia Mönchengladbach

№ 284010Established €4.1M +0.54

Player dossierBundesliga

RobinHack

LWLeft WingerAttack

Club
Borussia Mönchengladbach
League
Bundesliga
Nationality
Germany
Age
27
Height
178 cm
Foot
Right
Valued
27 May 2026

Reading the valuation

The market values Hack at €7M. Model A, which never saw Hack during training, estimates €4.1M: the market value is 72% above that estimate.

That is a factor of ×1.72. 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 €2M, 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.

▲ +0.54A €4.1M▲ +1.24B €2M
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
43
Minutes
2,615
Goals
7
Assists
8
Started
31/43
Min / app
61
Cards
5Y 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 Hack…

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 €7M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €7MModel A €4.1M

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

Robin Hack's percentiles among attackers: Goals per 90 45th, Assists per 90 87th, Minutes, two years 59th, Starts 71st, Minutes, last 365 days 11th, European club minutes 28th45thGoals87thAssists59thMinutes71stStarts11thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.28 this player0.15 attacker median87th 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
€100k
Jul 2017
Peak
€12M
Jun 2025
Model target
€7M
May 2026
Valuations
26
3 club changes
May 2026€7MBorussia MönchengladbachValuation the model is trained to reproduce

May 2026: €7M, Borussia Mönchengladbach. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2017-07-12€100kTSG 1899 Hoffenheim
2017-10-18€300kTSG 1899 Hoffenheim
2017-12-28€500kTSG 1899 Hoffenheim
2018-06-05€500kTSG 1899 Hoffenheim
2018-12-18€500kTSG 1899 Hoffenheim
2019-06-05€500kTSG 1899 Hoffenheim
2019-09-25€1.5M1.FC Nuremberg
2019-12-13€2M1.FC Nuremberg
2020-04-02€3M1.FC Nuremberg
2020-04-08€2.7M1.FC Nuremberg
2020-07-15€3.5M1.FC Nuremberg
2021-02-08€3.5M1.FC Nuremberg
2021-06-16€3M1.FC Nuremberg
2021-12-22€2.3MArminia Bielefeld
2022-06-09€2MArminia Bielefeld
2022-11-30€2.2MArminia Bielefeld
2023-06-28€3MArminia Bielefeld
2023-12-14€3MBorussia Mönchengladbach
2024-03-27€4.5MBorussia Mönchengladbach
2024-05-29€8MBorussia Mönchengladbach
2024-12-20€8MBorussia Mönchengladbach
2025-03-27€10MBorussia Mönchengladbach
2025-06-05€12MBorussia Mönchengladbach
2025-12-19€12MBorussia Mönchengladbach
2026-03-20€9MBorussia Mönchengladbach
2026-05-27€7MBorussia Mönchengladbach

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
+0.545

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 56% of the 451 Bundesliga players.

€300k€2M€15M€100M€7MSee them in the Explorer →

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

Valued above 70% of the 1,583 attackers.

€20k€300k€5M€75M€7MSee them in the Explorer →

Where Hack 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).