Angers 0:3 Paris Saint-Germain: xG & match report · Ligue 1

Saturday, 25/04/2026 at 19:00

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Match report · Ligue 1

Angers Home 0.70 xG · 6 shots

Paris Saint-Germain Away 2.78 xG · 17 shots

03 The scoreline reflected the chances

Goals

8' Kang-in Lee Paris Saint-Germain · 0.48 xG chance 0–1
39' Senny Mayulu Paris Saint-Germain · 0.60 xG chance 0–2
52' Lucas Beraldo Paris Saint-Germain · 0.44 xG chance 0–3

The shots behind it

Angers Paris Saint-Germain

Shots: 6; 17
On target: 1; 10
Inside the box: 4; 12
xG per shot: 0.07; 0.18
Open play xG: 0.42; 2.38
Set-piece xG: 0.02; 0.65
Penalties: —; —

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: 0.44 for Angers and 2.98 for Paris Saint-Germain.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

23 shots · 3.47 xG

Hover, focus or tap a shot to read it.

Angers
Paris Saint-Germain
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Angers

0.94 xG created 1.50 xGA

W 0.66 created, 0.84 conceded against Nantes
L 1.02 created, 1.58 conceded against Nice
L 1.50 created, 3.19 conceded against RC Lens
D 0.29 created, 0.70 conceded against Olympique Lyonnais
L 1.12 created, 1.22 conceded against Stade Rennais
D 1.07 created, 1.45 conceded against Le Havre

Paris Saint-Germain

2.63 xG created 0.65 xGA

W 3.88 created, 0.67 conceded against Le Havre
L 1.09 created, 1.34 conceded against AS Monaco
W 3.71 created, 0.24 conceded against Nice
W 1.79 created, 0.16 conceded against Toulouse
L 3.12 created, 0.62 conceded against Olympique Lyonnais
W 2.17 created, 0.89 conceded against Nantes

xG created xG conceded (xGA) W / D / L: the match result

Head to head

Angers: 0 won · 0 drawn · 1 lost

Paris Saint-Germain 1:0 Angers 22/08/2025 xG 1.85 – 0.24

Model details

Show

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.