Aston Villa 4:0 Bournemouth: xG & match report · Premier League

Sunday, 09/11/2025 at 15:00

Full time

Match report · Premier League

Aston Villa Home 1.70 xG · 16 shots

Bournemouth Away 1.61 xG · 12 shots

40 The chances were evenly matched

Goals

28' Emiliano Buendía Aston Villa · 0.16 xG chance 1–0
40' Amadou Onana Aston Villa · 0.03 xG chance 2–0
77' Ross Barkley Aston Villa · 0.18 xG chance 3–0
82' Donyell Malen Aston Villa · 0.07 xG chance 4–0

The shots behind it

Aston Villa Bournemouth

Shots: 16; 12
On target: 8; 3
Inside the box: 10; 6
xG per shot: 0.11; 0.14
Open play xG: 0.72; 0.26
Set-piece xG: 1.00; 0.58
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: 1.70 for Aston Villa and 0.82 for Bournemouth.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

28 shots · 3.38 xG

Hover, focus or tap a shot to read it.

Aston Villa
Bournemouth
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Aston Villa

0.77 xG created 0.91 xGA

D 0.78 created, 1.04 conceded against Sunderland
W 1.11 created, 0.92 conceded against Fulham
W 1.16 created, 0.40 conceded against Burnley
W 0.32 created, 0.75 conceded against Tottenham Hotspur
W 0.81 created, 1.18 conceded against Manchester City
L 0.41 created, 1.19 conceded against Liverpool

Bournemouth

0.96 xG created 1.65 xGA

D 0.46 created, 0.14 conceded against Newcastle United
D 0.82 created, 1.84 conceded against Leeds United
W 1.12 created, 0.88 conceded against Fulham
D 2.03 created, 4.44 conceded against Crystal Palace
W 0.58 created, 0.37 conceded against Nottingham Forest
L 0.72 created, 2.22 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.