FairValue

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Portrait of Djibril Sow

Djibril

Sow

CMSwitzerland · Sevilla FC

№ 212723Established €4.6M +0.50

Close-up

Image: FootyLogos

Player dossierLaLiga

DjibrilSow

CMCentral MidfieldMidfield

Club
Sevilla FC
League
LaLiga
Nationality
Switzerland
Age
29
Height
183 cm
Foot
Right
Valued
5 Jun 2026

Reading the valuation

The market values Sow at €7.5M. Model A, which never saw Sow during training, estimates €4.6M: the market value is 65% above that estimate.

That is a factor of ×1.65. 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 €5.8M, closer to the market here, although it is usually further off (typical miss ×2.07).

A gap describes the model's arithmetic for this player's inputs, not what the player is worth.

▲ +0.50A €4.6M▲ +0.27B €5.8M
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
67
Minutes
4,445
Goals
7
Assists
5
Started
53/67
Min / app
66
Cards
11Y 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 Sow…

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 €7.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €7.5MModel A €4.6M

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

Djibril Sow's percentiles among midfielders: Goals per 90 69th, Assists per 90 53rd, Minutes, two years 80th, Starts 69th, Minutes, last 365 days 73rd, European club minutes 30th69thGoals53rdAssists80thMinutes69thStarts73rdRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Minutes, two years

Total club minutes in the two-year window: how much the player was used.

4,445 this player2,607 midfielder median80th percentile

451peer deciles · median line · this player ●9,624

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 2014
Peak
€22M
Jun 2022
Model target
€7.5M
Jun 2026
Valuations
32
5 club changes
Jun 2026€7.5MSevilla FCValuation the model is trained to reproduce

Jun 2026: €7.5M, Sevilla FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2014-09-12€50kFC Zürich U21
2014-12-15€350kFC Zürich U21
2015-07-01€1.3MBorussia Mönchengladbach II
2016-01-15€1MBorussia Mönchengladbach II
2016-07-22€1MBorussia Mönchengladbach
2017-02-07€1MBorussia Mönchengladbach
2017-06-19€1MBorussia Mönchengladbach
2017-07-12€1MBSC Young Boys
2018-01-08€1.5MBSC Young Boys
2018-04-24€3MBSC Young Boys
2018-07-12€6.5MBSC Young Boys
2019-01-21€9MBSC Young Boys
2019-04-15€9MBSC Young Boys
2019-06-04€9MBSC Young Boys
2019-12-17€12MEintracht Frankfurt
2020-04-08€9.5MEintracht Frankfurt
2020-11-26€7MEintracht Frankfurt
2021-02-10€10MEintracht Frankfurt
2021-03-31€15MEintracht Frankfurt
2021-05-25€15MEintracht Frankfurt
2021-12-22€17.5MEintracht Frankfurt
2022-06-09€22MEintracht Frankfurt
2022-11-09€22MEintracht Frankfurt
2023-06-22€22MEintracht Frankfurt
2023-12-22€18MSevilla FC
2024-03-21€12MSevilla FC
2024-06-07€9MSevilla FC
2024-10-11€7.5MSevilla FC
2024-12-27€7.5MSevilla FC
2025-06-09€7.5MSevilla FC
2025-12-12€7.5MSevilla FC
2026-06-05€7.5MSevilla FC

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
+0.499

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 →

LaLiga509 players · median €4M

Valued above 67% of the 509 LaLiga players.

€100k€1M€10M€100M€7.5MSee them in the Explorer →

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

Valued above 74% of the 1,687 midfielders.

€20k€200k€2M€20M€7.5MSee them in the Explorer →

Where Sow 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).