#TeamPGxG/90+/-
1Lens254850.082-2.1
2Paris Saint Germain255448.751.95+5.3
3Olympique Marseille255242.071.68+9.9
4Olympique Lyonnais254041.421.66-1.4
5Monaco254341.241.65+1.8
6LOSC Lille253840.351.61-2.4
7Toulouse253336.911.48-3.9
8Rennes254235.51.42+6.5
9Strasbourg254034.871.39+5.1
10Brest253433.731.35+0.3
11Lorient253533.531.34+1.5
12Nice253032.811.31-2.8
13Paris252931.211.25-2.2
14Auxerre251928.951.16-10
15Le Havre252028.571.14-8.6
16Nantes252224.850.99-2.9
17Angers SCO252324.770.99-1.8
18Metz252223.790.95-1.8
#TeamPGAxGA/90+/-
1Paris Saint Germain252223.880.96-1.9
2LOSC Lille253228.511.14+3.5
3Olympique Marseille253328.61.14+4.4
4Toulouse252929.481.18-0.5
5Strasbourg253130.391.22+0.6
6Lens252132.291.29-11.3
7Auxerre253533.251.33+1.8
8Lorient253933.261.33+5.7
9Brest253435.271.41-1.3
10Olympique Lyonnais252735.291.41-8.3
11Monaco253735.511.42+1.5
12Angers SCO253037.11.48-7.1
13Nantes254237.811.51+4.2
14Rennes253538.871.55-3.9
15Le Havre253240.671.63-8.7
16Paris254142.511.7-1.5
17Nice254845.211.81+2.8
18Metz255645.51.82+10.5
#TeamPPTSxPTS/90+/-
1Paris Saint Germain255749.351.97+7.7
2Lens255644.141.77+11.9
3Olympique Marseille254642.861.71+3.1
4LOSC Lille254141.281.65-0.3
5Toulouse253138.881.56-7.9
6Monaco254037.861.51+2.1
7Olympique Lyonnais254637.051.48+9
8Strasbourg253636.141.45-0.1
9Brest253634.751.39+1.3
10Rennes254333.721.35+9.3
11Lorient253433.471.34+0.5
12Auxerre251932.281.29-13.3
13Paris252729.241.17-2.2
14Le Havre252628.791.15-2.8
15Nice252427.831.11-3.8
16Angers SCO253226.491.06+5.5
17Nantes251726.071.04-9.1
18Metz251322.020.88-9
#TeamPxGxGAxGD/90
1Paris Saint Germain2548.7523.8824.870.99
2Lens2550.0832.2917.790.71
3Olympique Marseille2542.0728.613.470.54
4LOSC Lille2540.3528.5111.840.47
5Toulouse2536.9129.487.430.3
6Olympique Lyonnais2541.4235.296.130.25
7Monaco2541.2435.515.730.23
8Strasbourg2534.8730.394.480.18
9Lorient2533.5333.260.270.01
10Brest2533.7335.27-1.54-0.06
11Rennes2535.538.87-3.37-0.13
12Auxerre2528.9533.25-4.3-0.17
13Paris2531.2142.51-11.3-0.45
14Le Havre2528.5740.67-12.1-0.48
15Angers SCO2524.7737.1-12.33-0.49
16Nice2532.8145.21-12.4-0.5
17Nantes2524.8537.81-12.96-0.52
18Metz2523.7945.5-21.71-0.87
#TeamPGnpxGxG/90
1Lens254846.1350.082
2Paris Saint Germain255444.848.751.95
3Olympique Lyonnais254038.2641.421.66
4Monaco254337.2941.241.65
5Olympique Marseille255236.5442.071.68
6LOSC Lille253836.440.351.61
7Rennes254233.1335.51.42
8Toulouse253331.3836.911.48
9Nice253031.2332.811.31
10Strasbourg254030.1334.871.39
11Lorient253529.5833.531.34
12Brest253427.4133.731.35
13Paris252927.2631.211.25
14Auxerre25192528.951.16
15Le Havre252024.6228.571.14
16Angers SCO252323.1924.770.99
17Nantes252221.6924.850.99
18Metz252219.8423.790.95
#TeamPGxGoTxG/90
1Paris Saint Germain255452.648.751.95
2Lens254848.6150.082
3Olympique Marseille255246.5542.071.68
4Olympique Lyonnais254045.6241.421.66
5Rennes254240.4135.51.42
6Monaco254338.2541.241.65
7LOSC Lille253837.7640.351.61
8Toulouse253337.4736.911.48
9Strasbourg254034.9834.871.39
10Nice253033.7732.811.31
11Paris252931.7831.211.25
12Lorient253531.333.531.34
13Brest253431.0233.731.35
14Le Havre252026.8128.571.14
15Angers SCO252326.1224.770.99
16Auxerre251925.5828.951.16
17Metz252222.9623.790.95
18Nantes252222.9524.850.99
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Sun, Mar 8
xG
1.97
Olympique Lyonnais
1 - 1
Paris
1.36
1.55
Nice
0 - 4
Rennes
1.76
0.61
LOSC Lille
1 - 1
Lorient
0.52
1.61
Brest
2 - 0
Le Havre
1.22
3.66
Lens
3 - 0
Metz
0.41
xG
Sat, Mar 7
xG
1.03
Toulouse
0 - 1
Olympique Marseille
0.85
1.13
Auxerre
0 - 0
Strasbourg
1.08
0.82
Nantes
0 - 1
Angers SCO
0.6
xG
Fri, Mar 6
xG
1.55
Paris Saint Germain
1 - 3
Monaco
1.24
xG
Sun, Mar 1
xG
1.64
Olympique Marseille
3 - 2
Olympique Lyonnais
1.16
0.73
LOSC Lille
1 - 0
Nantes
0.23
1.15
Metz
0 - 1
Brest
0.7
1.16
Lorient
2 - 2
Auxerre
1.31
1.16
Paris
1 - 0
Nice
1.01
xG
Sat, Feb 28
xG
0.67
Le Havre
0 - 1
Paris Saint Germain
3.28
1.91
Monaco
2 - 0
Angers SCO
0.61
0.75
Rennes
1 - 0
Toulouse
0.56
xG
Fri, Feb 27
xG
0.48
Strasbourg
1 - 1
Lens
1.92
xG
Sun, Feb 22
xG
1.89
Strasbourg
3 - 1
Olympique Lyonnais
0.47
2.49
Nice
3 - 3
Lorient
2.5
0.46
Angers SCO
0 - 1
LOSC Lille
2.24
1.49
Nantes
2 - 0
Le Havre
0.69
0.76
Auxerre
0 - 3
Rennes
1.26
xG
Sat, Feb 21
xG
1.79
Paris Saint Germain
3 - 0
Metz
0.09
2.75
Toulouse
1 - 1
Paris
0.58
1.75
Lens
2 - 3
Monaco
1.48
xG
Fri, Feb 20
xG
0.89
Brest
2 - 0
Olympique Marseille
1.68
xG
Sun, Feb 15
xG
1.31
Olympique Lyonnais
2 - 0
Nice
1.39
0.89
Metz
1 - 3
Auxerre
1.11
1.24
Lorient
2 - 0
Angers SCO
0.74
0.54
Le Havre
2 - 1
Toulouse
2.56
xG
Sat, Feb 14
xG
0.7
Paris
0 - 5
Lens
4.06
1.67
LOSC Lille
1 - 1
Brest
0.83
1.19
Olympique Marseille
2 - 2
Strasbourg
1.92
xG
Fri, Feb 13
xG
1.77
Monaco
3 - 1
Nantes
1.13
1.58
Rennes
3 - 1
Paris Saint Germain
3.71
xG
Sun, Feb 8
xG
2.94
Paris Saint Germain
5 - 0
Olympique Marseille
1.09
0.96
Auxerre
0 - 0
Paris
0.95
1.08
Le Havre
2 - 1
Strasbourg
0.44
1.05
Angers SCO
1 - 0
Toulouse
0.61
0.74
Nice
0 - 0
Monaco
0.88
xG
Sat, Feb 7
xG
0.9
Nantes
0 - 1
Olympique Lyonnais
1.2
1.93
Brest
2 - 0
Lorient
0.64
1.21
Lens
3 - 1
Rennes
1.06
xG
Fri, Feb 6
xG
0.49
Metz
0 - 0
LOSC Lille
2
xG
Sun, Feb 1
xG
2.08
Strasbourg
1 - 2
Paris Saint Germain
1.04
0.78
Toulouse
0 - 0
Auxerre
0.7
1.05
Nice
2 - 2
Brest
1.5
1.39
Angers SCO
1 - 0
Metz
0.53
0.39
Olympique Lyonnais
1 - 0
LOSC Lille
0.55

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50+ Leagues 30+ Metrics Updated Daily

Ligue 1 xG Table 2025/26

The Ligue 1 xG table for 2025/26 tracks expected goals data for all 18 teams. This includes xG (expected goals), xGA (expected goals against), xPTS (expected points), npxG (non-penalty xG), xGoT (expected goals on target), and the goals vs xG overperformance metric.

Who has the best attack?

Lens top the xG charts with 50.08 expected goals from 25 games (2/90). With 48 goals scored, they are underperforming by 2.1.

Who has the best defence?

Paris Saint Germain have the tightest defence by xGA, conceding just 23.88 expected goals (0.96/90). Their actual goals conceded stands at 22.

Biggest overperformer

Olympique Marseille are the biggest overperformers in Ligue 1, scoring 52 goals from an xG of just 42.07 — a difference of +9.9. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Auxerre are the most wasteful in front of goal, scoring 19 from an xG of 28.95 (diff: -10). Regression towards their xG would suggest improvement is likely.

Understanding the xG metrics

  • xG (Expected Goals): The total expected goals a team should have scored based on the quality of their chances.
  • xGA (Expected Goals Against): How many goals a team should have conceded — lower is better.
  • xPTS (Expected Points): How many league points a team deserves based on xG performance.
  • npxG (Non-Penalty xG): xG excluding penalties, giving a truer picture of open-play chance creation.
  • xGoT (xG on Target): Expected goals from shots that were on target only.
  • +/- (Overperformance): The difference between actual goals and xG. Positive = overperforming, negative = underperforming.

Data is updated daily, powered by advanced xG models covering 50+ competitions. Learn more about how xG works.

Data last updated: 2026-03-09 07:05:52