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.
CR

Portugal

Cristiano Ronaldo

ForwardStrong evidence

Al Nassr - Saudi Pro League

73 past sample shotsLeague formClub xGExperimental xG check

Data read

Some evidence

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

Player summary

Cristiano Ronaldo has a usable historical shot sample.

In the available historical sample, Cristiano Ronaldo took 73 shots. xG estimates how many goals those chances were usually worth. The model estimated those shots were worth about 13.47 goals, and Cristiano Ronaldo scored 12.

He scored roughly in line with what the model expected from the chances in this sample. The average shot was worth about 0.185 xG, or roughly a 18% chance of becoming a goal. Recent club and scouting context is also available from 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

73

StatsBomb open-data matches

StatsBomb

xG in available past matches

13.47

Not a 2026 forecast

StatsBomb

Goals

12

Goals in covered matches

StatsBomb

Scoring vs expected

-1.47

Goals minus expected goals estimate

StatsBomb

Shots

552

Recent club/league rows pulled

Goals

96

Recent league form

Minutes

9,080

Where available

Club shots

303

Understat rows

Club xG

49.40

Context only

Club goals

48

Covered seasons

Modeled shots

1,478

Understat shot rows

Experimental xG

206.70

Research layer only

High-xG shots

281

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

73 shots

The model estimated 13.47 goals from these shots; actual goals: 12. 2018-06-15 to 2024-07-05.

FBref

Recent League Form

552 shots

Aggregate club/league form where pulled.

Understat

Club xG Context

49.40 xG

Club xG context from covered leagues.

Understat

Experimental xG Check

206.70 xG

1,478 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

-1.47

Goals minus expected goals estimate

Average shot quality

0.185

Roughly how dangerous each shot was on average.

Open-data sample range

2018-06-15 to 2024-07-05

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.