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Coupe de la Ligue

Coupe de la Ligue — xG (Expected Goals)

France · 2019/20

Expected Goals (xG)

xG data available for 4 games
#TeamMPxGFxGF/gxGAxGA/gGFGADiff
1Lyon37.82.604.81.6194+1.2
2Reims47.01.765.61.3934-4
3Paris Saint Germain36.32.113.31.11132+6.7
4Le Mans46.31.586.31.5889+1.7
5Lille35.61.861.90.6272+1.4
6Nantes25.62.791.10.5681+2.4
7Amiens35.21.736.01.9866+0.8
8Stade Brestois 2934.81.617.42.4844-0.8
9Orleans24.82.422.21.1263+1.2
10Lens34.11.364.81.6146-0.1
11Bordeaux24.12.052.21.1222-2.1
12Toulouse23.71.864.82.4235-0.7
13Saint Etienne23.71.863.71.8637-0.7
14Clermont Foot23.41.682.61.3033-0.4
15Bourg-en-bresse 0123.41.685.22.6055+1.7
16Nimes23.41.682.61.3042+0.6
17Nancy33.31.113.71.2443+0.7
18Monaco23.31.672.61.3024-1.3
19Montpellier23.31.672.21.1133-0.3
20Niort22.61.303.41.6843+1.4
21Angers12.22.233.33.3423-0.2
22Rennes12.22.231.91.8623-0.2
23Strasbourg22.21.113.31.6710-1.2
24Metz11.51.491.91.8611-0.5
25Grenoble11.51.491.11.1111-0.5
26Estac Troyes11.51.491.51.4912-0.5
27Sochaux11.51.490.70.7412-0.5
28Paris FC31.50.495.91.98310+1.5
29Caen11.11.111.51.4901-1.1
30Lorient11.11.111.11.1112-0.1
31Beziers11.11.111.91.8611-0.1
32Nice11.11.113.02.9723+0.9
33Gazelec FC Ajaccio11.11.110.70.7431+1.9
34Dijon10.70.741.91.8602-0.7
35Le Havre10.70.741.91.8611+0.3
36Guingamp10.70.743.02.9714+0.3
37Ajaccio10.40.370.70.7442+3.6
38Marseille10.00.002.22.2312+1
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
NantesHigh xGF2.79
LyonHigh xGF2.60
OrleansHigh xGF2.42
MarseilleLow xGF0.00
AjaccioLow xGF0.37
Paris FCLow xGF0.49

LEAGUE xG STATS

38 teams with xG data
League avg xGF/g: 1.49
League avg xGA/g: 1.63
Best overperformer: Paris Saint Germain (+6.7)
Biggest underperformer: Reims (-4.0)

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

The Coupe de la Ligue (France) averages 1.62 xG per game this season. Lyon creates the most chances with 2.60 xGF per game, while Paris FC creates the fewest with 0.49 xGF per game. Paris Saint Germain is over-performing their xG (13 goals vs 6.3 xGF) — regression likely. Reims is under-performing (3 goals vs 7.0 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