FairValue

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Bobby

Wales

CFScotland · Swansea City

№ 924850Emerging €2.7M −1.90

Player dossierPremier League

BobbyWales

CFCentre-ForwardAttack

Club
Swansea City
League
Premier League
Nationality
Scotland
Age
20
Height
185 cm
Foot
Right
Valued
3 Dec 2025

Reading the valuation

The market values Wales at €400k. Model A, which never saw Wales during training, estimates €2.7M: the market value is 85% below that estimate.

That is a factor of ×6.72. 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 €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.

▼ −1.90A €2.7M▼ −2.52B €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
29
Minutes
1,395
Goals
5
Assists
3
Started
15/29
Min / app
48
Cards
2Y 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 Wales…

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 €400k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €400kModel A €2.7M

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 1,583 attackers

Bobby Wales's percentiles among attackers: Goals per 90 61st, Assists per 90 68th, Minutes, two years 29th, Starts 37th, Minutes, last 365 days 48th, European club minutes 67th61stGoals68thAssists29thMinutes37thStarts48thRecent67thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.19 this player0.15 attacker median68th percentile

0.00peer deciles · median line · this player ●0.73

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
Sept 2023
Peak
€600k
Jun 2025
Model target
€400k
Dec 2025
Valuations
7
3 club changes
Dec 2025€400kSwansea CityValuation the model is trained to reproduce

Dec 2025: €400k, Swansea City. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-09-22€50kKilmarnock FC
2024-05-30€100kAlloa Athletic FC
2024-12-03€100kKilmarnock FC
2025-03-12€400kKilmarnock FC
2025-06-17€600kKilmarnock FC
2025-10-06€400kSwansea City
2025-12-03€400kSwansea City

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
−1.904

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 →

Premier League555 players · median €18M

Valued above 2% of the 555 Premier League players.

€150k€1M€7.5M€50M€400kSee them in the Explorer →

Attackers, all leagues1,583 players · median €2.5M

Valued above 11% of the 1,583 attackers.

€20k€300k€5M€75M€400kSee them in the Explorer →

Where Wales 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).