xgEdge

Expected goals

Lorient expected goals (xG) 2026/2027

Ligue 1 · after 5 matches · updated 1 Oct

Lorient's attacking and defensive expected goals in Ligue 1 2026/2027, compared with the results they produced and with the rest of the competition.

Lorient xG and xGA per match

Every match ↓
Attack
1.19 xG per match
#17/18
Attack (xG per match) across Ligue 1, best first
Rank Club xG per match
#1 Paris Saint-Germain 2.28
#2 RC Lens 2.27
#3 Toulouse 2.19
#4 Stade Brestois 1.94
#5 Paris FC 1.87
#6 Olympique Lyonnais 1.79
#7 Stade Rennais 1.76
#8 Le Mans 1.70
#9 Angers 1.61
#10 Olympique de Marseille 1.56
#11 Auxerre 1.41
#12 Troyes 1.40
#13 Le Havre 1.39
#14 Lille 1.39
#15 AS Monaco 1.28
#16 RC Strasbourg 1.24
#17 Lorient 1.19
#18 Nice 1.08
League avg
1.63
Total
5.93 5 matches
Defence
1.39 xGA per match
#6/18
Defence (xGA per match) across Ligue 1, best first
Rank Club xGA per match
#1 Paris FC 0.65
#2 Paris Saint-Germain 1.14
#3 Olympique Lyonnais 1.17
#4 Stade Brestois 1.19
#5 AS Monaco 1.31
#6 Lorient 1.39
#7 Angers 1.41
#8 Le Havre 1.61
#9 Toulouse 1.64
=10 Lille 1.75
=10 Nice 1.75
#12 Le Mans 1.91
#13 RC Lens 1.92
=14 RC Strasbourg 1.96
=14 Troyes 1.96
#16 Auxerre 2.05
#17 Stade Rennais 2.27
#18 Olympique de Marseille 2.28
League avg
1.63
Total
6.96 5 matches
xG difference
-0.21 xGD per match
=9/18
xG difference (xGD per match) across Ligue 1, best first
Rank Club xGD per match
#1 Paris FC +1.22
#2 Paris Saint-Germain +1.14
#3 Stade Brestois +0.75
#4 Olympique Lyonnais +0.62
#5 Toulouse +0.55
#6 RC Lens +0.35
#7 Angers +0.20
#8 AS Monaco -0.02
=9 Le Mans -0.21
=9 Lorient -0.21
#11 Le Havre -0.22
#12 Lille -0.36
#13 Stade Rennais -0.51
#14 Troyes -0.56
#15 Auxerre -0.63
#16 Nice -0.67
#17 Olympique de Marseille -0.72
#18 RC Strasbourg -0.72
League avg
0.00
Total
-1.03 5 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
1.21 xPts per match
#11/18
Expected points (xPts per match) across Ligue 1, best first
Rank Club xPts per match
#1 Paris FC 2.17
#2 Paris Saint-Germain 2.06
#3 Olympique Lyonnais 1.81
#4 Stade Brestois 1.78
#5 Toulouse 1.74
#6 RC Lens 1.49
#7 Angers 1.49
#8 AS Monaco 1.42
#9 Le Mans 1.27
#10 Lille 1.23
#11 Lorient 1.21
#12 Le Havre 1.20
#13 Auxerre 1.18
#14 Olympique de Marseille 1.09
#15 Stade Rennais 1.08
#16 Troyes 0.96
#17 Nice 0.94
#18 RC Strasbourg 0.84
League avg
1.39
Total
6.06 vs 5 actual pts

Early-season figures: after 5 matches, per-match rates can move quickly.

What the xG says

Lorient's underlying numbers sit close to the Ligue 1 average. They rank =9 for xG difference at -0.21 per match, from low shot volume at about average chance quality. Their 5 goals are 0.93 below 5.93 xG, while 5 points are 1.06 below 6.06 xPts. After only 5 matches, those gaps should still be read cautiously.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG
5 5.93 -0.93 scored 0.93 fewer than xG within normal variance
Goals conceded vs xGA
6 6.96 -0.96 conceded 0.96 fewer than xGA within normal variance
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
5 6.06 -1.06 1.06 points below xPts within normal variance

Select a row to chart it across the season.

Goals minus xG, match by match

Lorient are 0.93 goals below their xG after 5 matches. The gap was widest at -2.03, against RC Lens on Sat 05/09.

Goals
5
xG
5.93
Gap
-0.93
Sat 22/08 Sat 29/08 Sat 05/09 Sat 12/09 Sat 19/09 -3 -2 -1 0 +1 -1.28 -1.43 -2.03 -0.96 -0.93 -1.28 -0.15 -0.60 +1.07 +0.03 Running gap goals − xG Each match goals − xG
Lorient: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sat 22/08 Nice 0 1.28 -1.28 -1.28
Sat 29/08 Troyes 1 1.15 -0.15 -1.43
Sat 05/09 RC Lens 1 1.60 -0.60 -2.03
Sat 12/09 Toulouse 2 0.93 +1.07 -0.96
Sat 19/09 Le Mans 1 0.97 +0.03 -0.93

Goals vs xG ranking → Expected points ranking →

Lorient xG trend

Current form +0.09 npxGD per match

All 5 matches with xG so far — the window fills at 6.

Out-created the opponent in 4 of 5 matches. The only negative was against Toulouse on Sat 12/09 (-0.57).

npxG · last 5
1.11
npxGA · last 5
1.02
-1 0 +1 +0.17 Sat 22/08 +0.30 Sat 29/08 +0.42 Sat 05/09 -0.57 Sat 12/09 +0.13 Sat 19/09 +0.09 season avg
Lorient: non-penalty xG, xGA and their difference in each match, with the season's average so far
Date Opponent npxG npxGA npxGD Avg so far
Sat 22/08 Nice 1.25 1.08 +0.17 +0.17
Sat 29/08 Troyes 1.09 0.79 +0.30 +0.23
Sat 05/09 RC Lens 1.51 1.09 +0.42 +0.30
Sat 12/09 Toulouse 0.75 1.32 -0.57 +0.08
Sat 19/09 Le Mans 0.97 0.84 +0.13 +0.09

Each bar is one match's non-penalty xG minus the non-penalty xG against; the line is that difference averaged over the season up to each match, and it finishes on the dashed season average — 1.11 npxG and 1.02 npxGA per match. Current form is the same difference over the last 6 matches with xG.

Form ranking →

Strength of schedule

Season so far
tied number 12 hardest of 18 in Ligue 1
−0.05 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

−0.05 xG vs league average · over 5 matches · tied number 12 hardest of 18

  1. Le Mans Away −0.13
  2. Toulouse Home +0.04
  3. RC Lens Away +0.41
  4. Troyes Home −0.28
  5. Nice Away −0.31

League schedule strength → How this is calculated →

Lorient shots and chance quality

Low volume, average quality. Lorient take 10.4 shots a match (league 13.9) at 0.11 npxG a shot (league 0.11), =16 in Ligue 1 for volume and #10 for quality. 65% of their shots come from inside the box (league 65%), and set pieces produce 9% of their npxG (league 18%).

Attack

Shot volume
10.4 shots per match
=16/18
Shot volume (shots per match) across Ligue 1, best first
Rank Club shots per match
#1 Paris Saint-Germain 21.2
#2 Stade Brestois 19.2
#3 Stade Rennais 16.2
#4 Le Havre 15.6
#5 Angers 15.0
=6 RC Lens 14.8
=6 Toulouse 14.8
=6 Troyes 14.8
#9 Olympique Lyonnais 13.4
=10 Olympique de Marseille 13.2
=10 Paris FC 13.2
#12 Lille 12.8
#13 Auxerre 12.0
#14 Nice 11.8
#15 RC Strasbourg 11.6
=16 Le Mans 10.4
=16 Lorient 10.4
#18 AS Monaco 10.2
League avg
13.9
Total
52 shots from 5 matches
Chance quality
0.11 npxG per shot
#10/18
Chance quality (npxG per shot) across Ligue 1, best first
Rank Club npxG per shot
#1 Le Mans 0.15
#2 Olympique Lyonnais 0.13
#3 Toulouse 0.13
#4 AS Monaco 0.12
#5 Paris FC 0.11
#6 RC Lens 0.11
#7 RC Strasbourg 0.11
#8 Angers 0.11
#9 Paris Saint-Germain 0.11
#10 Lorient 0.11
#11 Lille 0.11
#12 Olympique de Marseille 0.10
#13 Stade Rennais 0.09
#14 Nice 0.09
#15 Stade Brestois 0.09
#16 Auxerre 0.09
#17 Le Havre 0.08
#18 Troyes 0.07
League avg
0.11
Total
5.57 npxG from 52 shots

Defence

Shots allowed
13.2 shots per match
#7/18
Shots allowed (shots per match) across Ligue 1, best first
Rank Club shots per match
#1 Paris FC 9.6
#2 Paris Saint-Germain 10.0
=3 Olympique Lyonnais 11.2
=3 RC Lens 11.2
#5 Stade Brestois 11.6
#6 Nice 13.0
#7 Lorient 13.2
#8 Auxerre 13.6
#9 Troyes 13.8
#10 Le Havre 14.4
=11 AS Monaco 15.2
=11 Toulouse 15.2
#13 Stade Rennais 15.6
#14 Lille 16.0
#15 Le Mans 16.2
#16 Angers 16.4
#17 Olympique de Marseille 17.0
#18 RC Strasbourg 17.4
League avg
13.9
Total
66 shots allowed from 5 matches
Chance quality allowed
0.08 npxGA per shot
#3/18
Chance quality allowed (npxGA per shot) across Ligue 1, best first
Rank Club npxGA per shot
#1 Paris FC 0.07
#2 Angers 0.08
#3 Lorient 0.08
#4 AS Monaco 0.08
#5 Stade Brestois 0.09
#6 Le Havre 0.09
#7 RC Strasbourg 0.09
#8 Le Mans 0.09
#9 Olympique Lyonnais 0.10
#10 Toulouse 0.10
#11 Lille 0.11
#12 Paris Saint-Germain 0.11
#13 Nice 0.12
#14 Olympique de Marseille 0.12
#15 Auxerre 0.13
#16 Stade Rennais 0.13
#17 Troyes 0.15
#18 RC Lens 0.16
League avg
0.11
Total
5.12 npxGA from 66 shots

Shot profile

Shot location

65% inside the box

League avg 65%

From 34 of 52 shots over 5 matches

Early-season figure: after 5 matches, the share can move quickly.

Shots allowed, location

71% allowed inside the box

League avg 65%

From 47 of 66 shots allowed over 5 matches

Early-season figure: after 5 matches, the share can move quickly.

Where the npxG comes from

91% open play · 9% set pieces

League avg 18% set pieces

From 0.5 of 5.6 npxG over 5 matches

Early-season figure: after 5 matches, the share can move quickly.

Where the npxG allowed comes from

77% open play · 23% set pieces

League avg 18% set pieces

From 1.2 of 5.1 npxG allowed over 5 matches

Early-season figure: after 5 matches, the share can move quickly.

How the shot figures are made →

Lorient home and away xG

Lorient per-match figures at home and away
Measure Home only 2 matches with xG Away
Matches 2 3
xG / match 1.04 1.28
xGA / match 1.88 1.07
xGD / match -0.84 +0.21
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 0.75 1.52

Every figure divides by that half's matches with xG. A half with fewer than 3 matches with xG is muted.

Every Lorient match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

Away this season

Matches
3
xG / match
1.28
xGA / match
1.07
xGD / match
+0.21
Points
4 of 9
  1. Sat 19/09 Le Mans A xG 0.97 xGA 0.92 xGD +0.05
  2. Sat 05/09 RC Lens A xG 1.60 xGA 1.24 xGD +0.36
  3. Sat 22/08 Nice A xG 1.28 xGA 1.05 xGD +0.23

Newest first. The dot is xG and the ring is xGA, on one scale from 0 to 3.00. Best and weakest underlying mark the highest and lowest xGD once 5 matches have xG. Against the chances marks a win with xGD of −1.00 or lower, or a loss with +1.00 or higher. P marks a side with at least 0.50 xG from penalties.

Every result, all competitions →

Lorient in Ligue 1

Attack

Defence

Overall

About the data

xG data
Provided by TheStatsAPI, and stored as published.
Derived metrics
xGD, per-match rates, rankings and rolling averages are calculated from the match data.
Model metrics
xPts is produced by our probability model.

Learn how our xG analytics work →

How the model works →

Mind if we count your visit?

We use Google Analytics only to see how many people visit and which pages they read. It loads after you allow it — no ads, no tracking across other sites. What we collect