xgEdge

Expected goals

Stade Rennais expected goals (xG) 2026/2027

Ligue 1 · after 5 matches · updated 1 Oct

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

Stade Rennais xG and xGA per match

Every match ↓
Attack
1.76 xG per match
#7/18
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
8.78 5 matches
Defence
2.27 xGA per match
#17/18
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
11.35 5 matches
xG difference
-0.51 xGD per match
#13/18
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
-2.57 5 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
1.08 xPts per match
#15/18
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
5.41 vs 10 actual pts

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

What the xG says

Stade Rennais's underlying numbers are among the weakest in Ligue 1. They rank #13 for xG difference at -0.51 per match, driven by elite shot volume at about average chance quality. Their 8 goals are 0.78 below 8.78 xG, while 10 points are 4.59 above 5.41 xPts. After only 5 matches, those gaps should still be read cautiously.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG Includes 1.11 xG from penalties
8 8.78 -0.78 scored 0.78 fewer than xG within normal variance
Goals conceded vs xGA
9 11.35 -2.35 conceded 2.35 fewer than xGA within normal variance
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
10 5.41 +4.59 4.59 points above xPts outside normal variance

Select a row to chart it across the season.

Goals minus xG, match by match

Stade Rennais are 0.78 goals below their xG after 5 matches.

Goals
8
xG
8.78
Gap
-0.78
Sun 23/08 Sun 30/08 Sun 06/09 Fri 11/09 Sat 19/09 -1 0 +1 +2 +1.13 +1.01 +1.47 +0.59 -0.78 +1.13 -0.12 +0.46 -0.88 -1.37 Running gap goals − xG Each match goals − xG
Stade Rennais: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sun 23/08 Paris Saint-Germain 2 0.87 +1.13 +1.13
Sun 30/08 Le Mans 3 3.12 -0.12 +1.01
Sun 06/09 Angers 2 1.54 +0.46 +1.47
Fri 11/09 Olympique de Marseille 1 1.88 -0.88 +0.59
Sat 19/09 Olympique Lyonnais 0 1.37 -1.37 -0.78

Goals vs xG ranking → Expected points ranking →

Stade Rennais xG trend

Current form -0.45 npxGD per match

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

Out-created the opponent in 1 of 5 matches. The worst was against Olympique Lyonnais on Sat 19/09 (-1.76).

npxG · last 5
1.53
npxGA · last 5
1.99
-2 -1 0 +1 -0.85 Sun 23/08 -0.31 Sun 30/08 -0.23 Sun 06/09 +0.88 Fri 11/09 -1.76 Sat 19/09 -0.45 season avg
Stade Rennais: 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
Sun 23/08 Paris Saint-Germain 1.07 1.92 -0.85 -0.85
Sun 30/08 Le Mans 1.89 2.20 -0.31 -0.58
Sun 06/09 Angers 1.46 1.69 -0.23 -0.46
Fri 11/09 Olympique de Marseille 1.85 0.97 +0.88 -0.13
Sat 19/09 Olympique Lyonnais 1.40 3.16 -1.76 -0.45

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 — 1.53 npxG and 1.99 npxGA per match. Current form is the same difference over the last 6 matches with xG.

Form ranking →

Strength of schedule

Season so far
number 3 hardest of 18 in Ligue 1
+0.11 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

+0.11 xG vs league average · over 5 matches · number 3 hardest of 18

  1. Olympique Lyonnais Away +0.12
  2. Olympique de Marseille Home −0.04
  3. Angers Away −0.31
  4. Le Mans Home −0.13
  5. Paris Saint-Germain Home +0.90

League schedule strength → How this is calculated →

Stade Rennais shots and chance quality

High volume, average quality. Stade Rennais take 16.2 shots a match (league 13.9) at 0.09 npxG a shot (league 0.11), #3 in Ligue 1 for volume and #13 for quality. 70% of their shots come from inside the box (league 65%), and set pieces produce 11% of their npxG (league 18%).

Attack

Shot volume
16.2 shots per match
#3/18
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
81 shots from 5 matches
Chance quality
0.09 npxG per shot
#13/18
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
7.67 npxG from 81 shots

Defence

Shots allowed
15.6 shots per match
#13/18
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
78 shots allowed from 5 matches
Chance quality allowed
0.13 npxGA per shot
#16/18
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
9.94 npxGA from 78 shots

Shot profile

Shot location

70% inside the box

League avg 65%

From 57 of 81 shots over 5 matches

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

Shots allowed, location

60% allowed inside the box

League avg 65%

From 47 of 78 shots allowed over 5 matches

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

Where the npxG comes from

89% open play · 11% set pieces

League avg 18% set pieces

From 0.8 of 7.6 npxG over 5 matches

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

Where the npxG allowed comes from

85% open play · 15% set pieces

League avg 18% set pieces

From 1.5 of 9.9 npxG allowed over 5 matches

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

How the shot figures are made →

Stade Rennais home and away xG

Stade Rennais per-match figures at home and away
Measure Home Away only 2 matches with xG
Matches 3 2
xG / match 1.96 1.46
xGA / match 2.19 2.40
xGD / match -0.23 -0.94
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 1.24 0.85

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

Every Stade Rennais match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

This season

Matches
5
xG / match
1.76
xGA / match
2.27
xGD / match
-0.51
Points
10 of 15
  1. Sat 19/09 Olympique Lyonnais A Weakest underlying xG 1.37 xGA 3.13 xGD -1.76
  2. Fri 11/09 Olympique de Marseille H Best underlying xG 1.88 xGA 1.34 xGD +0.54
  3. Sun 06/09 Angers A xG 1.54 xGA 1.66 xGD -0.12
  4. Sun 30/08 Le Mans H xG 3.12 P xGA 3.06 P xGD +0.06
  5. Sun 23/08 Paris Saint-Germain H xG 0.87 xGA 2.16 xGD -1.29

Newest first. The dot is xG and the ring is xGA, on one scale from 0 to 3.13. 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 →

Stade Rennais 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 →

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