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.
Qatar flag

National team profile

Qatar

2022-11-20 to 2022-11-29

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

Limited evidence
20 past sample shotsLeague formClub xG

Data read

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

Team summary

Qatar has a small historical shot sample.

This team has only 20 shots in the current historical open-data sample. That means the expected-goals numbers are less reliable and can move around more than they would with a larger sample.

Club and league context from recent league form (FBref) and club xG context (Understat) can still help describe the squad, but it is separate from the trained xG model.

Takeaway: use this page more as a data-availability and scouting-context profile than as a firm judgment of team strength.

Small historical sample

This team has fewer than 50 historical open-data shots in the current dashboard. Treat the expected-goals numbers as directional, not definitive.

Past sample shots

20

StatsBomb open-data matches

StatsBomb

Goals

1

Goals in covered matches

StatsBomb

xG in available past matches

1.6

Not a 2026 forecast

StatsBomb

Scoring vs expected

-0.6

Goals minus expected goals estimate

StatsBomb
Limited evidence20 past sample shots are available.

Small historical sample

This team has fewer than 50 historical open-data shots in the current dashboard. Treat the expected-goals numbers as directional, not definitive.

Players with recent club stats

38.5%

FBref match rate

Players with club xG context

7.7%

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

Abdelkarim Hassan Al Haj Fadlalla0.50 estimated goals
Ismaeel Mohammad Mohammad0.43 estimated goals
Almoez Ali Zainalabiddin Abdulla0.38 estimated goals
Mohammed Muntari0.22 estimated goals
Pedro Miguel Correia0.04 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?

20

StatsBomb open-data shots

Average shot quality

0.082

Roughly how dangerous each shot was on average.

Players with recent club stats

38.5%

FBref match rate

Players with club xG context

7.7%

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.