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…

Portrait of Mio Backhaus

Mio

Backhaus

GKGermany · SV Werder Bremen

№ 620295Elite €9.1M +0.50

Image: FootyLogos

Player dossierBundesliga

MioBackhaus

GKGoalkeeperGoalkeeper

Club
SV Werder Bremen
League
Bundesliga
Nationality
Germany
Age
22
Height
194 cm
Foot
Right
Valued
27 May 2026

Reading the valuation

The market values Backhaus at €15M. Model A, which never saw Backhaus during training, estimates €9.1M: the market value is 65% above that estimate.

That is a factor of ×1.65. 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 €2.3M, 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.

▲ +0.50A €9.1M▲ +1.87B €2.3M
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
32
Minutes
2,880
Started
32/32
Min / app
90
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 Backhaus…

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 €15M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €15MModel A €9.1M

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 485 goalkeepers

Mio Backhaus's percentiles among goalkeepers: Minutes, two years 51st, Starts 62nd, Minutes, last 365 days 75th, European club minutes 32nd51stMinutes62ndStarts75thRecent32ndEurope

Dashed ring: the goalkeeper median (50th percentile)

Minutes, last 365 days

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

2,880 this player1,560 goalkeeper median75th percentile

0peer deciles · median line · this player ●4,970

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
€300k
Jul 2022
Peak
€15M
May 2026
Model target
€15M
May 2026
Valuations
13
3 club changes
May 2026€15MSV Werder BremenValuation the model is trained to reproduce

May 2026: €15M, SV Werder Bremen. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2022-07-05€300kSV Werder Bremen U19
2022-11-09€300kSV Werder Bremen
2023-06-22€300kSV Werder Bremen
2023-10-17€700kFC Volendam
2023-12-15€700kFC Volendam
2024-05-31€1MFC Volendam
2024-10-09€2MSV Werder Bremen
2024-12-20€2MSV Werder Bremen
2025-06-05€2MSV Werder Bremen
2025-10-14€4MSV Werder Bremen
2025-12-19€10MSV Werder Bremen
2026-03-20€12MSV Werder Bremen
2026-05-27€15MSV Werder Bremen

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
+0.502

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 74% of the 451 Bundesliga players.

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

Goalkeepers, all leagues485 players · median €1M

Valued above 92% of the 485 goalkeepers.

€20k€200k€2M€20M€15MSee them in the Explorer →

Where Backhaus 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).