Saturday, 20/12/2025 at 21:00
Full timeLeeds United 4:1 Crystal Palace
Goals
- 38' Dominic Calvert-Lewin Leeds United · 0.89 xG chance 1–0
- 45' Dominic Calvert-Lewin Leeds United · 0.35 xG chance 2–0
- 60' Ethan Ampadu Leeds United · 0.12 xG chance 3–0
- 90' Anton Stach Leeds United · 0.07 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
- 90' Justin Devenny (pen.) Crystal Palace · 0.82 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
The shots behind it
- Shots
- 20
- 9
- On target
- 8
- 3
- Inside the box
- 14
- 5
- xG per shot
- 0.17
- 0.18
- Open play xG
- 0.17
- 0.74
- Set-piece xG
- 3.14
- 0.06
- Penalties
- 0
- 1
Shot-level xG may differ from the published match total
The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 3.27 for Leeds United and 0.78 for Crystal Palace.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
29 shots · 4.93 xG
Hover, focus or tap a shot to read it.
- Leeds United
- Crystal Palace
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.64 xG created 1.83 xGA
- L 0.69 created, 2.55 conceded against Nottingham Forest
- L 1.79 created, 1.58 conceded against Aston Villa
- L 1.54 created, 3.10 conceded against Manchester City
- W 2.82 created, 1.11 conceded against Chelsea
- D 1.51 created, 1.91 conceded against Liverpool
- D 1.52 created, 0.72 conceded against Brentford
1.33 xG created 1.05 xGA
- D 0.75 created, 0.39 conceded against Brighton & Hove Albion
- W 1.27 created, 1.79 conceded against Wolverhampton
- L 1.83 created, 1.19 conceded against Manchester United
- W 0.59 created, 0.95 conceded against Burnley
- W 1.65 created, 0.76 conceded against Fulham
- L 1.88 created, 1.19 conceded against Manchester City
xG created xG conceded (xGA) W / D / L: the match result
Model details
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The model never priced this match before kick-off, so there is no projection to read the result against.
Limitations
The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.