Australia
Melbourne City - Australian A-League Men
Data read
Limited evidence
When the historical sample is weak, use recent club and league context to understand role, volume, and form.
Player summary
This player has only 10 historical shots in the dashboard, so the expected-goals model has limited evidence.
Recent club, league, and scouting context from club xG context (Understat), experimental xG check can still help describe their current role and shooting volume where available.
Limited historical shot sample
Past sample shots
10
StatsBomb open-data matches
xG in available past matches
1.26
Not a 2026 forecast
Goals
1
Goals in covered matches
Scoring vs expected
-0.26
Goals minus expected goals estimate
Club shots
49
Understat rows
Club xG
4.33
Context only
Club goals
7
Covered seasons
Modeled shots
137
Understat shot rows
Experimental xG
13.24
Research layer only
High-xG shots
14
Modeled Understat chances
Past Chance Quality
10 shots
The model estimated 1.26 goals from these shots; actual goals: 1. 2018-06-16 to 2022-11-30.
Club xG Context
4.33 xG
Club xG context from covered leagues.
Experimental xG Check
13.24 xG
137 modeled Understat shots. Research layer only.
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
-0.26
Goals minus expected goals estimate
Average shot quality
0.127
Roughly how dangerous each shot was on average.
Open-data sample range
2018-06-16 to 2022-11-30
How to read this dashboard
Past shot samples used by the expected-goals model. Not a 2026 prediction.
25/26 percentile scouting profiles. Percentiles are not raw stats and are not model inputs.
Recent club and league form context. Not used by the trained expected-goals model.
Club expected-goals context from covered leagues, plus a separate experimental xG check where clearly labeled.