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…

Hugo

Bolin

LWSweden · Borussia Mönchengladbach

№ 667251Established €7.3M −0.20

Player dossierBundesliga

HugoBolin

LWLeft WingerAttack

Club
Borussia Mönchengladbach
League
Bundesliga
Nationality
Sweden
Age
22
Height
179 cm
Foot
Right
Valued
27 May 2026

Reading the valuation

The market values Bolin at €6M. Model A, which never saw Bolin during training, estimates €7.3M: the market value is 18% below that estimate.

That is a factor of ×1.22. 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 €3.7M, 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.

▼ −0.20A €7.3M▲ +0.47B €3.7M
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
26
Minutes
1,532
Goals
2
Assists
3
Started
17/26
Min / app
59
Cards
0Y 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 Bolin…

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 €6M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €6MModel A €7.3M

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

Hugo Bolin's percentiles among attackers: Goals per 90 17th, Assists per 90 61st, Minutes, two years 32nd, Starts 61st, Minutes, last 365 days 58th, European club minutes 99th17thGoals61stAssists32ndMinutes61stStarts58thRecent99thEurope

Dashed ring: the attacker median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

64% this player0% attacker median99th percentile

0%peer deciles · median line · this player ●100%

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
€500k
Jun 2023
Peak
€6M
Jun 2025
Model target
€6M
May 2026
Valuations
8
1 club change
May 2026€6MBorussia MönchengladbachValuation the model is trained to reproduce

May 2026: €6M, Borussia Mönchengladbach. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-06-27€500kMalmö FF
2023-12-08€800kMalmö FF
2024-06-13€1.5MMalmö FF
2024-09-26€4MMalmö FF
2024-12-20€5MMalmö FF
2025-06-18€6MMalmö FF
2025-11-19€6MMalmö FF
2026-05-27€6MBorussia 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
−0.197

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 53% of the 451 Bundesliga players.

€300k€2M€15M€100M€6MSee them in the Explorer →

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

Valued above 68% of the 1,583 attackers.

€20k€300k€5M€75M€6MSee them in the Explorer →

Where Bolin 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).