xgEdge

Saturday, 02/05/2026 at 17:00

Full time
Match report · Ligue 1

Paris Saint-Germain 2:2 Lorient

Paris Saint-Germain Home 2.42 xG · 24 shots
Lorient Away 0.96 xG · 5 shots
22 Paris Saint-Germain had the better chances, but it finished level

Goals

  1. 6' Ibrahim Mbaye Paris Saint-Germain · 0.35 xG chance 1–0
  2. 12' Pablo Pagis Lorient · 0.26 xG chance 1–1
  3. 62' Warren Zaïre-Emery Paris Saint-Germain · 0.01 xG chance 2–1
  4. 78' Aiyegun Tosin Lorient · 0.21 xG chance 2–2

The shots behind it

Paris Saint-Germain Lorient
Shots
24
5
On target
6
3
Inside the box
15
4
xG per shot
0.08
0.16
Open play xG
1.49
0.41
Set-piece xG
0.49
0.39
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: 1.99 for Paris Saint-Germain and 0.79 for Lorient.

Shot map

Both teams shown attacking the same goal for comparison.

Paris Saint-Germain · Ibrahim Mbaye · 6' · Goal · 4 m · 0.35 xG Paris Saint-Germain · Pierre Mounguengue · 81' · No goal · 5 m · 0.32 xG Lorient · Pablo Pagis · 12' · Goal · 11 m · 0.26 xG Lorient · Aiyegun Tosin · 78' · Goal · 13 m · 0.21 xG Paris Saint-Germain · Désiré Doué · 28' · No goal · 12 m · 0.20 xG Lorient · Aiyegun Tosin · 83' · No goal · 8 m · 0.20 xG Paris Saint-Germain · Pierre Mounguengue · 81' · No goal · 9 m · 0.14 xG Paris Saint-Germain · Bradley Barcola · 90' · No goal · 15 m · 0.13 xG Lorient · Montassar Talbi · 48' · No goal · 8 m · 0.11 xG Paris Saint-Germain · Ibrahim Mbaye · 57' · No goal · 5 m · 0.09 xG Paris Saint-Germain · Lucas Hernández · 85' · No goal · 6 m · 0.09 xG Paris Saint-Germain · Kang-in Lee · 39' · No goal · 18 m · 0.08 xG Paris Saint-Germain · Lucas Hernández · 34' · No goal · 8 m · 0.07 xG Paris Saint-Germain · João Neves · 88' · No goal · 20 m · 0.07 xG Paris Saint-Germain · Kang-in Lee · 71' · No goal · 15 m · 0.06 xG Paris Saint-Germain · Senny Mayulu · 88' · No goal · 3 m · 0.06 xG Paris Saint-Germain · Senny Mayulu · 21' · No goal · 14 m · 0.04 xG Paris Saint-Germain · Bradley Barcola · 24' · No goal · 16 m · 0.04 xG Paris Saint-Germain · Fabián Ruiz · 44' · No goal · 20 m · 0.04 xG Paris Saint-Germain · Senny Mayulu · 53' · No goal · 18 m · 0.04 xG Paris Saint-Germain · Désiré Doué · 54' · No goal · 12 m · 0.04 xG Paris Saint-Germain · Senny Mayulu · 34' · No goal · 15 m · 0.03 xG Paris Saint-Germain · Désiré Doué · 51' · No goal · 27 m · 0.03 xG Lorient · Montassar Talbi · 10' · No goal · 18 m · 0.02 xG Paris Saint-Germain · Lucas Hernández · 85' · No goal · 8 m · 0.02 xG Paris Saint-Germain · Désiré Doué · 45' · No goal · 20 m · 0.01 xG Paris Saint-Germain · Warren Zaïre-Emery · 62' · Goal · 22 m · 0.01 xG Paris Saint-Germain · Bradley Barcola · 86' · No goal · 20 m · 0.01 xG Paris Saint-Germain · Dro Fernández · 90' · No goal · 22 m · 0.01 xG

All shots

29 shots · 2.78 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match
Paris Saint-Germain

2.44 xG created 0.66 xGA

  • 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
  • W 2.78 created, 0.70 conceded against Angers
Lorient

1.42 xG created 1.28 xGA

  • W 1.45 created, 1.34 conceded against RC Lens
  • L 0.40 created, 1.15 conceded against Toulouse
  • D 1.18 created, 1.04 conceded against Paris FC
  • L 1.87 created, 1.16 conceded against Olympique Lyonnais
  • W 1.33 created, 1.65 conceded against Olympique de Marseille
  • L 2.28 created, 1.34 conceded against RC Strasbourg

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

Head to head

Paris Saint-Germain: 0 won · 1 drawn · 0 lost

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.