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Portrait of Raheem Sterling

Raheem

Sterling

RWEngland · Feyenoord Rotterdam

№ 134425Established €1.7M +0.59

Image: FootyLogos

Player dossierEredivisie

RaheemSterling

RWRight WingerAttack

Club
Feyenoord Rotterdam
League
Eredivisie
Nationality
England
Age
31
Height
170 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values Sterling at €3M. Model A, which never saw Sterling during training, estimates €1.7M: the market value is 81% above that estimate.

That is a factor of ×1.81. 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 €1.5M, 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.

▲ +0.59A €1.7M▲ +0.68B €1.5M
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
32
Minutes
1,294
Goals
0
Assists
5
Started
15/32
Min / app
40
Cards
5Y 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 Sterling…

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 €3M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €3MModel A €1.7M

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

Raheem Sterling's percentiles among attackers: Goals per 90 3rd, Assists per 90 95th, Minutes, two years 27th, Starts 30th, Minutes, last 365 days 11th, European club minutes 88th3rdGoals95thAssists27thMinutes30thStarts11thRecent88thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.35 this player0.15 attacker median95th 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
€2.5M
Sept 2012
Peak
€160M
Dec 2019
Model target
€3M
May 2026
Valuations
38
5 club changes
May 2026€3MFeyenoord RotterdamValuation the model is trained to reproduce

May 2026: €3M, Feyenoord Rotterdam. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2012-09-11€2.5MLiverpool FC
2013-01-28€11.5MLiverpool FC
2013-07-02€12.5MLiverpool FC
2014-01-15€13MLiverpool FC
2014-08-12€20MLiverpool FC
2015-02-12€30MLiverpool FC
2015-07-01€40MLiverpool FC
2015-10-14€50MManchester City
2016-02-09€50MManchester City
2016-06-01€45MManchester City
2016-08-01€45MManchester City
2017-02-20€45MManchester City
2017-06-28€45MManchester City
2017-10-23€50MManchester City
2018-01-02€80MManchester City
2018-05-28€90MManchester City
2018-12-19€120MManchester City
2019-06-13€140MManchester City
2019-12-10€160MManchester City
2020-04-08€128MManchester City
2020-10-13€128MManchester City
2020-12-17€110MManchester City
2021-03-18€100MManchester City
2021-05-28€90MManchester City
2021-12-23€85MManchester City
2022-06-15€70MManchester City
2022-11-03€70MChelsea FC
2023-03-16€60MChelsea FC
2023-06-20€55MChelsea FC
2023-10-09€50MChelsea FC
2023-12-19€45MChelsea FC
2024-05-27€35MChelsea FC
2024-12-16€22MArsenal FC
2025-03-18€15MArsenal FC
2025-05-30€10MArsenal FC
2025-10-17€7MChelsea FC
2025-12-09€5MChelsea FC
2026-05-28€3MFeyenoord Rotterdam

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
+0.592

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 70% of the 425 Eredivisie players.

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

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

Valued above 52% of the 1,583 attackers.

€20k€300k€5M€75M€3MSee them in the Explorer →

Where Sterling 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).