FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Danylo

Sikan

CFUkraine · RSC Anderlecht

№ 417228Established €1.7M +0.83

Player dossierPro League

DanyloSikan

CFCentre-ForwardAttack

Club
RSC Anderlecht
League
Pro League
Nationality
Ukraine
Age
25
Height
187 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Sikan at €4M. Model A, which never saw Sikan during training, estimates €1.7M: the market value is 129% above that estimate.

That is a factor of ×2.29. 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 €4M, 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.

▲ +0.83A €1.7M▼ −0.01B €4M
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
55
Minutes
2,424
Goals
10
Assists
4
Started
29/55
Min / app
44
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 Sikan…

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 €4M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €4MModel 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

Danylo Sikan's percentiles among attackers: Goals per 90 71st, Assists per 90 51st, Minutes, two years 54th, Starts 39th, Minutes, last 365 days 22nd, European club minutes 69th71stGoals51stAssists54thMinutes39thStarts22ndRecent69thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.37 this player0.26 attacker median71st percentile

0.00peer deciles · median line · this player ●1.17

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
€200k
Mar 2019
Peak
€7M
Jun 2024
Model target
€4M
Jun 2026
Valuations
19
8 club changes
Jun 2026€4MRSC AnderlechtValuation the model is trained to reproduce

Jun 2026: €4M, RSC Anderlecht. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2019-03-22€200kFC Mariupol
2019-06-20€1MFC Mariupol
2020-01-08€2MShakhtar Donetsk II
2020-04-08€1.8MShakhtar Donetsk II
2020-09-04€1.8MShakhtar Donetsk
2021-01-14€1.8MFC Mariupol
2021-06-07€1.5MFC Mariupol
2021-12-20€1.5MShakhtar Donetsk
2022-06-16€1.2MFC Hansa Rostock
2022-12-06€2MShakhtar Donetsk
2023-03-28€4MShakhtar Donetsk
2023-06-21€4MShakhtar Donetsk
2023-12-11€6MShakhtar Donetsk
2024-06-06€7MShakhtar Donetsk
2024-12-17€6MShakhtar Donetsk
2025-03-20€6MTrabzonspor
2025-06-18€6MTrabzonspor
2025-12-17€5MTrabzonspor
2026-06-04€4MRSC Anderlecht

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
+0.828

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 →

Pro League350 players · median €1.8M

Valued above 78% of the 350 Pro League players.

€100k€750k€5M€30M€4MSee them in the Explorer →

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

Valued above 59% of the 1,583 attackers.

€20k€300k€5M€75M€4MSee them in the Explorer →

Where Sikan 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).