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 Marcel Sabitzer

Marcel

Sabitzer

CMAustria · Borussia Dortmund

№ 106987Established €7M −0.15

Image: FootyLogos

Player dossierBundesliga

MarcelSabitzer

CMCentral MidfieldMidfield

Club
Borussia Dortmund
League
Bundesliga
Nationality
Austria
Age
32
Height
178 cm
Foot
Right
Valued
27 May 2026

Reading the valuation

The market values Sabitzer at €6M. Model A, which never saw Sabitzer during training, estimates €7M: the market value is 14% below that estimate.

That is a factor of ×1.17. 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 €4.2M, 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.

▼ −0.15A €7M▲ +0.35B €4.2M
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
78
Minutes
5,240
Goals
2
Assists
4
Started
59/78
Min / app
67
Cards
9Y 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 Sabitzer…

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 €7M

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 1,687 midfielders

Marcel Sabitzer's percentiles among midfielders: Goals per 90 26th, Assists per 90 38th, Minutes, two years 89th, Starts 62nd, Minutes, last 365 days 82nd, European club minutes 95th26thGoals38thAssists89thMinutes62ndStarts82ndRecent95thEurope

Dashed ring: the midfielder median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

29% this player0% midfielder median95th percentile

0%peer deciles · median line · this player ●85%

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
Nov 2010
Peak
€42M
Feb 2021
Model target
€6M
May 2026
Valuations
45
6 club changes
May 2026€6MBorussia DortmundValuation the model is trained to reproduce

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

Show as a table
DateMarket valueClub
2010-11-26€100kFC Admira Wacker Mödling
2011-09-21€125kFC Admira Wacker Mödling
2011-12-30€125kFC Admira Wacker Mödling
2012-04-02€250kFC Admira Wacker Mödling
2012-05-30€500kFC Admira Wacker Mödling
2012-09-24€1.2MFC Admira Wacker Mödling
2012-12-19€1.2MFC Admira Wacker Mödling
2013-06-04€1.2MRapid Vienna
2013-12-27€1.2MRapid Vienna
2014-06-20€2MRapid Vienna
2014-10-21€2.5MRed Bull Salzburg
2015-01-11€2.8MRed Bull Salzburg
2015-06-17€4MRed Bull Salzburg
2016-02-11€4MRB Leipzig
2016-06-01€4MRB Leipzig
2016-07-22€4MRB Leipzig
2016-10-13€5MRB Leipzig
2017-02-07€8MRB Leipzig
2017-03-22€10MRB Leipzig
2017-06-19€13MRB Leipzig
2017-12-28€18MRB Leipzig
2018-04-04€25MRB Leipzig
2018-06-05€25MRB Leipzig
2018-12-18€25MRB Leipzig
2019-06-05€25MRB Leipzig
2019-10-02€30MRB Leipzig
2019-12-17€40MRB Leipzig
2020-04-08€32MRB Leipzig
2020-07-08€35MRB Leipzig
2021-02-10€42MRB Leipzig
2021-05-27€42MRB Leipzig
2021-10-07€32MBayern Munich
2021-12-22€27MBayern Munich
2022-03-24€22MBayern Munich
2022-06-09€15MBayern Munich
2022-09-21€20MBayern Munich
2022-11-09€20MBayern Munich
2023-06-20€20MManchester United
2023-12-14€20MBorussia Dortmund
2024-05-29€20MBorussia Dortmund
2024-12-20€15MBorussia Dortmund
2025-03-27€10MBorussia Dortmund
2025-06-05€8MBorussia Dortmund
2025-12-19€7MBorussia Dortmund
2026-05-27€6MBorussia Dortmund

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
−0.155

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 →

Midfielders, all leagues1,687 players · median €2M

Valued above 69% of the 1,687 midfielders.

€20k€200k€2M€20M€6MSee them in the Explorer →

Where Sabitzer 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).