FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Portrait of Frank Anguissa

Frank

Anguissa

CMCameroon · SSC Napoli

№ 354361Elite €13.5M +0.11

Image: FootyLogos

Player dossierSerie A

FrankAnguissa

CMCentral MidfieldMidfield

Club
SSC Napoli
League
Serie A
Nationality
Cameroon
Age
30
Height
184 cm
Foot
Right
Valued
29 May 2026

Reading the valuation

The market values Anguissa at €15M. Model A, which never saw Anguissa during training, estimates €13.5M: the market value is 11% above that estimate.

That is a factor of ×1.11. 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 €3.1M, 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.

▲ +0.11A €13.5M▲ +1.58B €3.1M
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
59
Minutes
4,578
Goals
10
Assists
7
Started
51/59
Min / app
78
Cards
7Y 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 Anguissa…

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 €13.5M

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

Frank Anguissa's percentiles among midfielders: Goals per 90 82nd, Assists per 90 67th, Minutes, two years 82nd, Starts 81st, Minutes, last 365 days 52nd, European club minutes 68th82ndGoals67thAssists82ndMinutes81stStarts52ndRecent68thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

Club goals per 90 minutes played in the two years to the valuation date.

0.20 this player0.08 midfielder median82nd percentile

0.00peer deciles · median line · this player ●0.93

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
Sept 2015
Peak
€40M
Mar 2023
Model target
€15M
May 2026
Valuations
30
5 club changes
May 2026€15MSSC NapoliValuation the model is trained to reproduce

May 2026: €15M, SSC Napoli. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2015-09-06€100kOlympique de Marseille B
2016-02-04€300kOlympique de Marseille B
2016-07-13€400kOlympique Marseille
2016-11-01€800kOlympique Marseille
2017-01-16€1.5MOlympique Marseille
2017-06-01€2MOlympique Marseille
2018-01-24€7MOlympique Marseille
2018-03-20€12MOlympique Marseille
2018-06-04€18MOlympique Marseille
2018-08-13€25MFulham FC
2018-12-19€25MFulham FC
2019-06-13€25MFulham FC
2019-12-20€25MVillarreal CF
2020-04-08€20MVillarreal CF
2020-10-13€20MFulham FC
2021-03-18€25MFulham FC
2021-06-08€25MFulham FC
2021-12-28€30MSSC Napoli
2022-06-07€30MSSC Napoli
2022-11-11€38MSSC Napoli
2023-03-21€40MSSC Napoli
2023-06-15€40MSSC Napoli
2023-12-20€35MSSC Napoli
2024-03-12€30MSSC Napoli
2024-06-05€27MSSC Napoli
2024-12-18€27MSSC Napoli
2025-06-17€27MSSC Napoli
2025-12-23€25MSSC Napoli
2026-03-24€20MSSC Napoli
2026-05-29€15MSSC Napoli

Audit context group-level, not about this player

Audit group
non-UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.108

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 →

Serie A507 players · median €5.5M

Valued above 75% of the 507 Serie A players.

€100k€750k€5M€30M€15MSee them in the Explorer →

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

Valued above 83% of the 1,687 midfielders.

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

Where Anguissa 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).