Ligue 2 xG Table 2026/27

Saint-Etienne have created the most this season, 19.0 xG from 11 matches. Reims have scored 8.5 more than their chances were worth, the biggest gap in the league, while Boulogne have scored 3.9 fewer than theirs.

#	Team	P	xG	xGA	xGD	xG/G	G	G-xG
1	Saint-Etienne	11	19.0	8.0	+11.0	1.73	23	+4.0
2	Nancy	11	17.7	10.4	+7.3	1.61	16	-1.7
3	Red Star	11	16.9	12.0	+4.9	1.54	14	-2.9
4	Guingamp	11	18.0	14.3	+3.7	1.63	16	-2.0
5	Nantes	11	13.6	9.9	+3.7	1.23	12	-1.6
6	Pau FC	11	16.0	12.4	+3.6	1.46	16	-0.0
7	Laval	11	17.2	14.5	+2.7	1.56	14	-3.2
8	Boulogne	11	10.9	10.7	+0.2	0.99	7	-3.9
9	Annecy	11	15.5	15.4	+0.1	1.41	14	-1.5
10	Dijon	11	17.4	18.5	-1.1	1.58	20	+2.6
11	Montpellier	11	13.6	14.7	-1.1	1.23	16	+2.4
12	Metz	11	15.7	17.4	-1.7	1.43	17	+1.3
13	Reims	11	13.5	15.6	-2.0	1.23	22	+8.5
14	Rodez	11	15.3	19.1	-3.7	1.39	17	+1.7
15	Dunkerque	11	12.2	17.3	-5.1	1.11	14	+1.8
16	Sochaux	11	11.8	18.3	-6.5	1.07	8	-3.8
17	Grenoble	11	9.1	17.0	-7.9	0.83	10	+0.9
18	Clermont	11	8.0	15.9	-8.0	0.72	10	+2.0
	League average	11.0	14.5	14.5	0.0	1.32	14.8	+0.3

#	Team	P	xG	xGA	xGD	xG/G	G	G-xG
1	Saint-Etienne	5	7.9	2.2	+5.7	1.58	13	+5.1
2	Nancy	5	8.6	4.9	+3.7	1.72	5	-3.6
3	Nantes	6	7.9	4.5	+3.4	1.31	6	-1.9
4	Guingamp	6	9.8	6.9	+2.9	1.62	11	+1.2
5	Pau FC	6	9.1	6.3	+2.8	1.51	8	-1.1
6	Laval	6	8.5	7.0	+1.5	1.42	8	-0.5
7	Red Star	5	7.3	5.8	+1.5	1.47	3	-4.3
8	Annecy	5	7.7	6.7	+0.9	1.53	5	-2.7
9	Boulogne	5	5.5	4.8	+0.7	1.10	4	-1.5
10	Metz	6	10.5	10.0	+0.5	1.74	13	+2.5
11	Montpellier	5	6.6	6.1	+0.5	1.32	6	-0.6
12	Rodez	6	9.2	8.8	+0.3	1.53	9	-0.2
13	Reims	6	9.1	9.0	+0.1	1.51	15	+5.9
14	Dunkerque	6	6.8	7.4	-0.6	1.13	8	+1.2
15	Grenoble	5	5.4	7.5	-2.1	1.07	3	-2.4
16	Clermont	6	4.1	6.4	-2.2	0.69	3	-1.1
17	Dijon	5	8.0	10.3	-2.3	1.60	10	+2.0
18	Sochaux	5	5.4	9.6	-4.1	1.08	4	-1.4
	League average	5.5	7.6	6.9	0.0	1.39	7.4	-0.2

#	Team	P	xG	xGA	xGD	xG/G	G	G-xG
1	Saint-Etienne	6	11.1	5.8	+5.3	1.85	10	-1.1
2	Nancy	6	9.1	5.5	+3.6	1.52	11	+1.9
3	Red Star	6	9.6	6.2	+3.4	1.60	11	+1.4
4	Laval	5	8.7	7.4	+1.2	1.74	6	-2.7
5	Dijon	6	9.4	8.2	+1.2	1.57	10	+0.6
6	Pau FC	5	7.0	6.1	+0.9	1.39	8	+1.0
7	Guingamp	5	8.2	7.4	+0.8	1.65	5	-3.2
8	Nantes	5	5.7	5.5	+0.2	1.14	6	+0.3
9	Boulogne	6	5.4	6.0	-0.6	0.90	3	-2.4
10	Annecy	6	7.9	8.7	-0.9	1.31	9	+1.1
11	Montpellier	6	7.0	8.6	-1.6	1.16	10	+3.0
12	Metz	5	5.2	7.4	-2.2	1.05	4	-1.2
13	Reims	5	4.4	6.6	-2.2	0.89	7	+2.6
14	Sochaux	6	6.3	8.7	-2.4	1.06	4	-2.3
15	Rodez	5	6.2	10.2	-4.1	1.23	8	+1.8
16	Dunkerque	5	5.4	9.8	-4.4	1.09	6	+0.6
17	Clermont	5	3.8	9.6	-5.8	0.76	7	+3.2
18	Grenoble	6	3.7	9.5	-5.8	0.62	7	+3.3
	League average	5.5	6.9	7.6	0.0	1.25	7.3	+0.4

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Ligue 2 matches this season only, 12 rounds so far. Sorted by xG difference. xG figures come from Understat.

What the xG table tells you

Expected goals, or xG, rates every shot by how often similar chances are scored. A tap in from a few yards might be worth well over half a goal, while a hopeful effort from long range is worth a few hundredths. Add up a side's chances and you get the number of goals they could have expected to score.

xGA is the same count for the shots a side allows, and xGD is the gap between the two. A positive xGD means a club creates more than it gives away, which shows the balance of play even when results have not caught up yet. The per game figure lets clubs with different numbers of matches be compared fairly.

G-xG compares actual goals with xG. A high figure means a team has scored more than its chances were worth, which is hard to keep up for a whole season. A low figure points to wasted chances, poor finishing or a goalkeeper in good form at the other end.

A single big chance can move these numbers a long way, so read early season tables as a snapshot of what has happened rather than a settled verdict. The home and away tabs show whether a side's chance creation travels.

More Ligue 2 stats

Ligue 2 xG Table 2026/27

What the xG table tells you

More Ligue 2 stats

Team stats

Player stats

xG Table in other leagues