World Cup xG Lab
TeamsPlayersModelCoverage
StatsBomb powers the past chance-quality model and shot-location views. FBref adds recent league-form context. Understat adds club xG context. DataMB adds 25/26 percentile scouting profiles. This dashboard is not a guaranteed 2026 World Cup prediction model.
PS

Czechia

Patrik Schick

ForwardSome evidence

Bayer Leverkusen - Bundesliga

23 past sample shotsPercentile profileLeague formClub xGExperimental xG check

Data read

Limited evidence

When the historical sample is weak, use recent club and league context to understand role, volume, and form.

Player summary

Patrik Schick has a usable historical shot sample.

In the available historical sample, Patrik Schick took 23 shots. xG estimates how many goals those chances were usually worth. The model estimated those shots were worth about 3.81 goals, and Patrik Schick scored 6.

He scored about 2.2 more goals than expected from the chances in this sample. The average shot was worth about 0.166 xG, or roughly a 17% chance of becoming a goal. Recent club and scouting context is also available from percentile scouting profile (DataMB), recent league form (FBref), club xG context (Understat), experimental xG check.

Takeaway: use this as a combined historical plus club-context profile, not as a guaranteed 2026 World Cup projection.

Past sample shots

23

StatsBomb open-data matches

StatsBomb

xG in available past matches

3.81

Not a 2026 forecast

StatsBomb

Goals

6

Goals in covered matches

StatsBomb

Scoring vs expected

2.19

Goals minus expected goals estimate

StatsBomb

Season

25/26

External percentile layer

Template

strikers

Comparison group

Minutes

2,188

Where available

Shots

288

Recent club/league rows pulled

Goals

72

Recent league form

Minutes

7,482

Where available

Club shots

166

Understat rows

Club xG

32.56

Context only

Club goals

34

Covered seasons

Modeled shots

378

Understat shot rows

Experimental xG

59.82

Research layer only

High-xG shots

103

Modeled Understat chances

  • - Player data describes past available samples and club context, not a 2026 World Cup forecast.
  • - StatsBomb powers the past chance-quality model; recent league form, club xG, and percentile profiles are context layers.
  • - Small shot samples can make xG and finishing numbers noisy.
  • - Missing source matches can come from league coverage or player-name differences.
StatsBomb

Past Chance Quality

23 shots

The model estimated 3.81 goals from these shots; actual goals: 6. 2021-06-14 to 2024-06-22.

DataMB

Percentile Scouting Profile

2,188 min

strikers percentile context.

FBref

Recent League Form

288 shots

Aggregate club/league form where pulled.

Understat

Club xG Context

32.56 xG

Club xG context from covered leagues.

Understat

Experimental xG Check

59.82 xG

378 modeled Understat shots. Research layer only.

Overview

This profile separates historical shot-quality evidence from recent club context. It avoids treating a small StatsBomb sample as a complete player forecast.

Scoring vs expected

2.19

Goals minus expected goals estimate

Average shot quality

0.166

Roughly how dangerous each shot was on average.

Open-data sample range

2021-06-14 to 2024-06-22

How to read this dashboard

StatsBomb

Past shot samples used by the expected-goals model. Not a 2026 prediction.

DataMB

25/26 percentile scouting profiles. Percentiles are not raw stats and are not model inputs.

FBref

Recent club and league form context. Not used by the trained expected-goals model.

Understat

Club expected-goals context from covered leagues, plus a separate experimental xG check where clearly labeled.