FairValue

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  • 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.

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Raul

Paula

AMGermany · NAC Breda

№ 716756Emerging €510k −0.38

Player dossierEredivisie

RaulPaula

AMAttacking MidfieldMidfield

Club
NAC Breda
League
Eredivisie
Nationality
Germany
Age
22
Height
177 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values Paula at €350k. Model A, which never saw Paula during training, estimates €510k: the market value is 31% below that estimate.

That is a factor of ×1.46. 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 €1.1M, 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.

▼ −0.38A €510k▼ −1.15B €1.1M
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
41
Minutes
1,471
Goals
2
Assists
4
Started
16/41
Min / app
36
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 Paula…

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 €350k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €350kModel A €510k

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

Raul Paula's percentiles among midfielders: Goals per 90 63rd, Assists per 90 91st, Minutes, two years 24th, Starts 11th, Minutes, last 365 days 20th, European club minutes 30th63rdGoals91stAssists24thMinutes11thStarts20thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.24 this player0.09 midfielder median91st percentile

0.00peer deciles · median line · this player ●0.74

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
Oct 2022
Peak
€700k
Dec 2024
Model target
€350k
May 2026
Valuations
11
1 club change
May 2026€350kNAC BredaValuation the model is trained to reproduce

May 2026: €350k, NAC Breda. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2022-10-17€100kVfB Stuttgart II
2022-12-19€100kVfB Stuttgart II
2023-06-29€150kVfB Stuttgart II
2024-01-10€300kVfB Stuttgart II
2024-06-30€350kVfB Stuttgart II
2024-10-14€500kNAC Breda
2024-12-17€700kNAC Breda
2025-05-28€600kNAC Breda
2025-12-02€500kNAC Breda
2026-03-11€350kNAC Breda
2026-05-28€350kNAC Breda

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
−0.377

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 →

Eredivisie425 players · median €1M

Valued above 14% of the 425 Eredivisie players.

€75k€500k€3M€20M€350kSee them in the Explorer →

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

Valued above 10% of the 1,687 midfielders.

€20k€200k€2M€20M€350kSee them in the Explorer →

Where Paula 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).