Coupe de France — xG (Expected Goals)

France · 2025/26

France — Coupe de France 2025/26 — Detailed Stats

Competition

Home & Away Tables Form Table Home Advantage Away Advantage Draws Predictions

Goals

AVG Total Goals Scored Goals Conceded Clean Sheets BTTS Failed To Score xG (Expected Goals)

Over/Under

Over 0.5 ~ 5.5 Tables Under 0.5 ~ 5.5 Tables

1st Half Table 2nd Half Table Winning / Losing at HT

Expected Goals (xG)

xG data available for 5 games

#	Team	MP	xGF	xGF/g	xGA	xGA/g	GF	GA	Diff
1	Lens	5	12.9	2.57	5.0	0.99	16	6	+3.1
2	Strasbourg	5	12.6	2.51	6.3	1.25	13	5	+0.4
3	Marseille	4	10.2	2.56	4.0	0.99	20	2	+9.8
4	Lyon	4	8.9	2.23	4.0	0.99	9	3	+0.1
5	Reims	4	8.9	2.23	5.0	1.24	14	3	+5.1
6	Toulouse	5	8.6	1.72	5.6	1.12	7	8	-1.6
7	Lorient	4	7.9	1.98	2.6	0.66	12	1	+4.1
8	Rennes	3	7.3	2.42	2.3	0.77	6	4	-1.3
9	Estac Troyes	3	6.6	2.20	5.3	1.76	12	5	+5.4
10	Monaco	3	6.3	2.09	6.6	2.20	6	5	-0.3
11	Nice	5	5.9	1.19	5.3	1.06	8	4	+2.1
12	Paris Saint Germain	2	5.3	2.64	1.3	0.66	4	1	-1.3
13	Montpellier	3	5.0	1.65	4.0	1.32	11	3	+6.1
14	Nantes	2	4.0	1.98	2.6	1.32	6	4	+2
15	Paris FC	3	4.0	1.32	5.0	1.65	4	2	0
16	Orleans	2	4.0	1.98	4.3	2.15	9	4	+5
17	Hauts Lyonnais	2	3.6	1.82	2.0	0.99	4	5	+0.4
18	Le Mans	3	3.6	1.21	4.0	1.32	5	7	+1.4
19	Amiens	3	3.6	1.21	5.0	1.65	13	3	+9.4
20	Istres	2	3.3	1.65	2.6	1.32	4	3	+0.7
21	Laval	3	3.3	1.10	3.6	1.21	15	2	+11.7
22	Dieppe	1	3.0	2.97	1.6	1.65	5	4	+2
23	Metz	2	3.0	1.49	3.0	1.49	3	4	0
24	Bastia	2	3.0	1.49	1.3	0.66	7	2	+4
25	Avranches	2	2.6	1.32	6.0	2.98	2	8	-0.6
26	Montreuil	2	2.6	1.32	3.0	1.49	6	6	+3.4
27	Chantilly	2	2.6	1.32	4.0	1.98	9	4	+6.4
28	Bayeux	2	2.3	1.16	6.6	3.31	6	12	+3.7
29	Le Puy Foot	2	2.3	1.16	3.6	1.82	3	0	+0.7
30	Lille	2	2.0	0.99	3.0	1.49	2	2	0
31	Auxerre	1	2.0	1.98	3.0	2.97	1	2	-1
32	SA Mérignac	1	1.6	1.65	2.3	2.31	1	0	-0.6
33	Saint Etienne	1	1.6	1.65	2.0	1.98	15	4	+13.4
34	Sochaux	2	1.6	0.83	3.3	1.65	12	7	+10.4
35	Concarneau	1	1.6	1.65	2.0	1.98	7	5	+5.4
36	Grenoble	1	1.6	1.65	0.7	0.66	6	2	+4.4
37	Nancy	2	1.6	0.83	3.0	1.49	10	4	+8.4
38	Blois	1	1.6	1.65	1.6	1.65	4	5	+2.4
39	Olympique Marcquois	1	1.3	1.32	3.0	2.97	8	3	+6.7
40	Angers	2	1.3	0.66	3.0	1.49	1	1	-0.3
41	Guingamp	1	1.0	0.99	0.3	0.33	6	2	+5
42	Chauvigny	1	1.0	0.99	1.0	0.99	9	6	+8
43	Biesheim	1	1.0	0.99	1.3	1.32	4	6	+3
44	St Maur Lusitanos	1	1.0	0.99	1.3	1.32	10	1	+9
45	Stade Béthunois	1	1.0	0.99	1.6	1.65	3	5	+2
46	Bordeaux	1	1.0	0.99	1.0	0.99	5	4	+4
47	Les Herbiers	1	1.0	0.99	1.0	0.99	5	2	+4
48	Dunkerque	1	1.0	0.99	1.6	1.65	8	4	+7
49	Stade Brestois 29	1	1.0	0.99	1.3	1.32	1	1	0
50	Périgny	1	0.7	0.66	2.0	1.98	5	4	+4.3
51	Vendée Fontenay	1	0.7	0.66	3.0	2.97	4	5	+3.3
52	Lyon Duchere	1	0.7	0.66	1.6	1.65	6	3	+5.3
53	Freyming	1	0.7	0.66	2.0	1.98	3	5	+2.3
54	Feignies-Aulnoye	1	0.7	0.66	3.0	2.97	7	3	+6.3
55	Le Havre	1	0.7	0.66	1.3	1.32	0	2	-0.7
56	Raon l'Etape	1	0.3	0.33	2.6	2.64	5	5	+4.7
57	Canet Roussillon	1	0.3	0.33	2.0	1.98	5	2	+4.7
58	Les Sables-d'Olonne	1	0.3	0.33	2.6	2.64	3	5	+2.7
59	Pontivy GSI	1	0.3	0.33	2.0	1.98	6	1	+5.7
60	Croix Football IC	1	0.3	0.33	3.0	2.97	4	7	+3.7
61	Saint-Cyr Collonges	1	0.0	0.00	4.0	3.97	0	3	0
62	Bassin d'Arcachon Sud	1	0.0	0.00	1.6	1.65	4	2	+4
63	Bourg-en-bresse 01	1	0.0	0.00	3.0	2.97	5	8	+5
64	Gosier	1	0.0	0.00	3.6	3.63	5	11	+5

xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)

* xG estimated from shots on goal using the league's average conversion rate. API xG data is not available for this league.

xG Attack Ranking

DieppeHigh xGF2.97

Paris Saint GermainHigh xGF2.64

LensHigh xGF2.57

GosierLow xGF0.00

Bourg-en-bresse 01Low xGF0.00

Bassin d'Arcachon SudLow xGF0.00

LEAGUE xG STATS

64 teams with xG data

League avg xGF/g: 1.28

League avg xGA/g: 1.73

Best overperformer: Saint Etienne (+13.3)

Biggest underperformer: Toulouse (-1.6)

Coupe de France (France) — Expected Goals (xG) Analysis

The Coupe de France (France) averages 1.89 xG per game this season. Lens creates the most chances with 2.57 xGF per game, while Laval creates the fewest with 1.10 xGF per game. Laval is over-performing their xG (15 goals vs 3.3 xGF) — regression likely. Toulouse is under-performing (7 goals vs 8.6 xGF) — improvement expected.

Betting Angle — xG & Regression Markets

xG is the most powerful predictor of future performance — teams that consistently over-perform their xG (scoring more than expected) tend to regress. Look for under-performing high-xG teams as value opportunities in match result markets, especially Asian Handicap and Both Teams To Score.

Expected Goals (xG) — France

Coupe de la Ligue xG— Division Underground
Feminine Division 1 xG— Division Women's Elite
Ligue 1 xG— Division Elite
Ligue 2 xG— Division Premium
Ligue 3 xG— Division Silver
National 2 - Group A xG— Division Regional
National 2 - Group B xG— Division Regional
National 2 - Group C xG— Division Regional
National 2 - Group D xG— Division Regional
National 3 - Group A xG— Division Amateur
National 3 - Group B xG— Division Amateur
National 3 - Group C xG— Division Amateur
National 3 - Group D xG— Division Amateur
National 3 - Group E xG— Division Amateur
National 3 - Group F xG— Division Amateur
National 3 - Group G xG— Division Amateur
National 3 - Group H xG— Division Amateur
National 3 - Group I xG— Division Amateur
National 3 - Group J xG— Division Amateur
National 3 - Group K xG— Division Amateur
National 3 - Group L xG— Division Amateur
National 3 - Group M xG— Division Amateur
Trophée des Champions xG— Division Elite