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.
Germany flag

National team profile

Germany

1974-06-22 to 2024-07-05

Start with the team summary, then open the detail sections below for past chance quality, data strength, and club or league context.

Some evidence
336 past sample shotsLeague formClub xG

Data read

The detail sections below separate past shot evidence from recent club and league context.

Team summary

Germany has a useful historical shot sample.

In the matches covered by this dashboard, Germany took 336 shots. xG estimates how many goals a team would usually score from the chances they created. The model estimated those chances were worth about 39.4 goals, and Germany actually scored 27.

They scored about 12.4 fewer goals than expected from the chances in this sample. The average shot was worth about 0.117 xG, or roughly a 12% chance of becoming a goal. Match dates in this sample: 1974-06-22 to 2024-07-05.

Takeaway: this profile is useful for understanding Germany's past chance creation and finishing in the available data. It does not predict how many goals they will score in 2026.

Past sample shots

336

StatsBomb open-data matches

StatsBomb

Goals

27

Goals in covered matches

StatsBomb

xG in available past matches

39.4

Not a 2026 forecast

StatsBomb

Scoring vs expected

-12.4

Goals minus expected goals estimate

StatsBomb
Some evidence336 past sample shots are available.

This sample is large enough to make the past chance-quality numbers easier to read, but it still describes available past data only.

Players with recent club stats

100.0%

FBref match rate

Players with club xG context

92.3%

Understat match rate

FBref, Understat, and percentile sources help describe club form and source coverage. They do not replace the production xG model trained on StatsBomb open data.

Players with past chance-quality evidence

Kai Havertz7.34 estimated goals
Niclas Füllkrug2.98 estimated goals
Jamal Musiala2.44 estimated goals
İlkay Gündoğan2.39 estimated goals
Mario Gómez García2.00 estimated goals
  • - These numbers describe past available data, not projected 2026 World Cup totals.
  • - Historical international/open-data samples and club context are separate layers.
  • - Missing data does not mean a weak team or player.
  • - Source coverage differs by competition, league, and player-name matching.

Overview

What do we know about this team? Past sample shots describe the available international/open-data sample, while club context helps fill in recent form where available.

How much past match data do we have?

336

StatsBomb open-data shots

Average shot quality

0.117

Roughly how dangerous each shot was on average.

Players with recent club stats

100.0%

FBref match rate

Players with club xG context

92.3%

Understat match rate

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.