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 Nico Elvedi

Nico

Elvedi

CBSwitzerland · Borussia Mönchengladbach

№ 192635Established €5.8M +0.32

Image: FootyLogos

Player dossierBundesliga

NicoElvedi

CBCentre-BackDefender

Club
Borussia Mönchengladbach
League
Bundesliga
Nationality
Switzerland
Age
29
Height
189 cm
Foot
Right
Valued
27 May 2026

Reading the valuation

The market values Elvedi at €8M. Model A, which never saw Elvedi during training, estimates €5.8M: the market value is 38% above that estimate.

That is a factor of ×1.38. 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 €3.5M, 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.

▲ +0.32A €5.8M▲ +0.83B €3.5M
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
61
Minutes
5,373
Goals
3
Assists
4
Started
61/61
Min / app
88
Cards
6Y 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 Elvedi…

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 €8M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €8MModel A €5.8M

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 2,065 defenders

Nico Elvedi's percentiles among defenders: Goals per 90 64th, Assists per 90 66th, Minutes, two years 88th, Starts 97th, Minutes, last 365 days 93rd, European club minutes 30th64thGoals66thAssists88thMinutes97thStarts93rdRecent30thEurope

Dashed ring: the defender median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

100% this player83% defender median97th percentile

18%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
€50k
Feb 2014
Peak
€35M
Mar 2019
Model target
€8M
May 2026
Valuations
37
1 club change
May 2026€8MBorussia MönchengladbachValuation the model is trained to reproduce

May 2026: €8M, Borussia Mönchengladbach. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2014-02-14€50kFC Zürich
2014-09-12€50kFC Zürich
2014-12-16€500kFC Zürich
2015-04-14€1.5MFC Zürich
2015-06-18€1.5MFC Zürich
2015-07-01€4MBorussia Mönchengladbach
2016-02-15€4MBorussia Mönchengladbach
2016-06-01€4MBorussia Mönchengladbach
2016-07-22€5MBorussia Mönchengladbach
2017-02-07€7MBorussia Mönchengladbach
2017-06-19€7MBorussia Mönchengladbach
2017-12-28€12MBorussia Mönchengladbach
2018-04-04€15MBorussia Mönchengladbach
2018-06-05€17MBorussia Mönchengladbach
2018-08-22€20MBorussia Mönchengladbach
2018-10-22€23MBorussia Mönchengladbach
2018-12-18€25MBorussia Mönchengladbach
2019-03-06€35MBorussia Mönchengladbach
2019-06-05€30MBorussia Mönchengladbach
2019-12-17€35MBorussia Mönchengladbach
2020-04-08€28MBorussia Mönchengladbach
2020-09-16€30MBorussia Mönchengladbach
2021-02-10€32MBorussia Mönchengladbach
2021-05-25€28MBorussia Mönchengladbach
2021-10-07€25MBorussia Mönchengladbach
2021-12-22€23MBorussia Mönchengladbach
2022-06-09€18MBorussia Mönchengladbach
2022-11-09€20MBorussia Mönchengladbach
2023-06-22€18MBorussia Mönchengladbach
2023-10-18€14MBorussia Mönchengladbach
2023-12-14€14MBorussia Mönchengladbach
2024-03-27€10MBorussia Mönchengladbach
2024-05-29€10MBorussia Mönchengladbach
2024-12-20€8MBorussia Mönchengladbach
2025-06-05€8MBorussia Mönchengladbach
2025-12-19€8MBorussia Mönchengladbach
2026-05-27€8MBorussia 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
+0.322

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 60% of the 451 Bundesliga players.

€300k€2M€15M€100M€8MSee them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 78% of the 2,065 defenders.

€20k€200k€2M€20M€8MSee them in the Explorer →

Where Elvedi 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).