HirokiSekine

RBRight-BackDefender

Club: Stade Reims
League: Ligue 1
Nationality: Japan
Age: 23
Height: 187 cm
Foot: Right
Valued: 26 May 2026

Reading the valuation

The market values Sekine at €1.2M. Model A, which never saw Sekine during training, estimates €1.4M: the market value is 12% below that estimate.

That is a factor of ×1.14. 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 €605k, 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.

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: 15
Minutes: 884
Goals: 0
Assists: 0
Started: 9/15
Min / app: 59
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 Sekine…

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 €1.2M

Checking API

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 2,065 defenders

Dashed ring: the defender median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

0% this player0% defender median30th percentile

0%peer deciles · median line · this player ●85%

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; Jun 2023
Peak: €1.5M; Dec 2025
Model target: €1.2M; May 2026
Valuations: 7; 2 club changes

May 2026€1.2MStade ReimsValuation the model is trained to reproduce

May 2026: €1.2M, Stade Reims. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table

Date	Market value	Club
2023-06-28	€50k	Takushoku University
2024-02-22	€50k	Kashiwa Reysol
2024-06-12	€600k	Kashiwa Reysol
2024-12-10	€800k	Kashiwa Reysol
2025-06-03	€1.2M	Stade Reims
2025-12-11	€1.5M	Stade Reims
2026-05-26	€1.2M	Stade Reims

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: −0.127

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 →

Ligue 1423 players · median €5M

Valued above 11% of the 423 Ligue 1 players.

See them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 39% of the 2,065 defenders.

See them in the Explorer →

Where Sekine appears

TerminalLigue 1 in the Player Explorer
TerminalLigue 1 on the League Landscape

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).