FairValue

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Portrait of Patrik Schick

Patrik

Schick

CFCzech Republic · Bayer 04 Leverkusen

№ 242086Elite €17.4M +0.03

Image: FootyLogos

Player dossierBundesliga

PatrikSchick

CFCentre-ForwardAttack

Club
Bayer 04 Leverkusen
League
Bundesliga
Nationality
Czech Republic
Age
30
Height
191 cm
Foot
Left
Valued
27 May 2026

Reading the valuation

The market values Schick at €18M. Model A, which never saw Schick during training, estimates €17.4M: the market value is 3% above that estimate.

That is a factor of ×1.03. 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 €15.7M, 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.

▲ +0.03A €17.4M▲ +0.14B €15.7M
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
87
Minutes
5,370
Goals
49
Assists
5
Started
60/87
Min / app
62
Cards
7Y 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 Schick…

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 €18M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €18MModel A €17.4M

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

Patrik Schick's percentiles among attackers: Goals per 90 99th, Assists per 90 25th, Minutes, two years 93rd, Starts 66th, Minutes, last 365 days 93rd, European club minutes 80th99thGoals25thAssists93rdMinutes66thStarts93rdRecent80thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.82 this player0.26 attacker median99th 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
May 2014
Peak
€50M
Jun 2022
Model target
€18M
May 2026
Valuations
34
6 club changes
May 2026€18MBayer 04 LeverkusenValuation the model is trained to reproduce

May 2026: €18M, Bayer 04 Leverkusen. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2014-05-08€200kAC Sparta Prague U19
2015-01-17€200kAC Sparta Prague
2015-10-15€350kBohemians Prague 1905
2016-03-18€500kBohemians Prague 1905
2016-07-15€3MUC Sampdoria
2017-01-02€3.5MUC Sampdoria
2017-03-28€7MUC Sampdoria
2017-06-08€15MUC Sampdoria
2017-10-13€20MAS Roma
2017-12-29€20MAS Roma
2018-06-07€20MAS Roma
2018-10-12€18MAS Roma
2018-12-20€15MAS Roma
2019-06-06€15MAS Roma
2019-12-17€15MRB Leipzig
2020-03-11€25MRB Leipzig
2020-04-08€20MRB Leipzig
2020-07-08€25MRB Leipzig
2021-02-10€25MBayer 04 Leverkusen
2021-05-28€23MBayer 04 Leverkusen
2021-07-15€28MBayer 04 Leverkusen
2021-12-22€40MBayer 04 Leverkusen
2022-06-09€50MBayer 04 Leverkusen
2022-11-09€38MBayer 04 Leverkusen
2023-03-29€30MBayer 04 Leverkusen
2023-06-22€25MBayer 04 Leverkusen
2023-12-14€22MBayer 04 Leverkusen
2024-05-29€22MBayer 04 Leverkusen
2024-12-20€22MBayer 04 Leverkusen
2025-03-27€27MBayer 04 Leverkusen
2025-06-05€27MBayer 04 Leverkusen
2025-12-19€25MBayer 04 Leverkusen
2026-03-20€20MBayer 04 Leverkusen
2026-05-27€18MBayer 04 Leverkusen

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
+0.033

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 →

Bundesliga451 players · median €5M

Valued above 80% of the 451 Bundesliga players.

€300k€2M€15M€100M€18MSee them in the Explorer →

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

Valued above 85% of the 1,583 attackers.

€20k€300k€5M€75M€18MSee them in the Explorer →

Where Schick 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).