#TeamPGxG/90+/-
1Lens285455.351.98-1.4
2Paris Saint Germain276152.931.96+8.1
3Monaco295048.961.69+1
4Olympique Marseille295848.351.67+9.7
5LOSC Lille294947.571.64+1.4
6Olympique Lyonnais294345.981.59-3
7Rennes294943.431.5+5.6
8Strasbourg284641.431.48+4.6
9Toulouse293940.991.41-2
10Lorient293838.751.34-0.8
11Nice293437.311.29-3.3
12Brest283737.261.33-0.3
13Paris293737.161.28-0.2
14Le Havre292434.731.2-10.7
15Auxerre292333.011.14-10
16Angers SCO292529.251.01-4.3
17Metz292628.570.99-2.6
18Nantes282428.171.01-4.2
#TeamPGAxGA/90+/-
1Paris Saint Germain272324.490.91-1.5
2Olympique Marseille293831.481.09+6.5
3LOSC Lille293432.841.13+1.2
4Strasbourg283432.991.18+1
5Toulouse293935.661.23+3.3
6Auxerre293737.151.28-0.1
7Lorient294438.341.32+5.7
8Lens282738.841.39-11.8
9Olympique Lyonnais292940.881.41-11.9
10Brest284341.751.49+1.3
11Monaco294342.471.46+0.5
12Nantes284542.591.52+2.4
13Rennes294142.961.48-2
14Angers SCO293943.671.51-4.7
15Le Havre293747.31.63-10.3
16Paris294549.611.71-4.6
17Metz296352.081.8+10.9
18Nice295654.11.87+1.9
#TeamPPTSxPTS/90+/-
1Paris Saint Germain276354.412.02+8.6
2Olympique Marseille295250.531.74+1.5
3LOSC Lille295348.541.67+4.5
4Lens285947.611.7+11.4
5Monaco294943.781.51+5.2
6Toulouse293742.941.48-5.9
7Strasbourg284342.571.52+0.4
8Olympique Lyonnais295142.181.45+8.8
9Rennes295041.561.43+8.4
10Lorient293838.951.34-1
11Auxerre292437.681.3-13.7
12Brest283637.321.33-1.3
13Paris293533.991.17+1
14Le Havre292933.871.17-4.9
15Nice292831.291.08-3.3
16Angers SCO293330.591.05+2.4
17Nantes281929.371.05-10.4
18Metz291526.530.91-11.5
#TeamPxGxGAxGD/90
1Paris Saint Germain2752.9324.4928.441.05
2Olympique Marseille2948.3531.4816.870.58
3Lens2855.3538.8416.510.59
4LOSC Lille2947.5732.8414.730.51
5Strasbourg2841.4332.998.440.3
6Monaco2948.9642.476.490.22
7Toulouse2940.9935.665.330.18
8Olympique Lyonnais2945.9840.885.10.18
9Rennes2943.4342.960.470.02
10Lorient2938.7538.340.410.01
11Auxerre2933.0137.15-4.14-0.14
12Brest2837.2641.75-4.49-0.16
13Paris2937.1649.61-12.45-0.43
14Le Havre2934.7347.3-12.57-0.43
15Nantes2828.1742.59-14.42-0.52
16Angers SCO2929.2543.67-14.42-0.5
17Nice2937.3154.1-16.79-0.58
18Metz2928.5752.08-23.51-0.81
#TeamPGnpxGxG/90
1Lens285451.455.351.98
2Paris Saint Germain276148.1952.931.96
3Monaco295044.2248.961.69
4Olympique Lyonnais294342.8245.981.59
5Olympique Marseille295842.8248.351.67
6LOSC Lille294942.0447.571.64
7Rennes294939.4843.431.5
8Strasbourg284636.6941.431.48
9Nice293435.7337.311.29
10Toulouse293935.4640.991.41
11Lorient293834.838.751.34
12Paris293733.2137.161.28
13Brest283730.9437.261.33
14Le Havre292430.7834.731.2
15Auxerre292329.0633.011.14
16Angers SCO292526.8829.251.01
17Nantes282425.0128.171.01
18Metz292624.6228.570.99
#TeamPGxGoTxG/90
1Paris Saint Germain276159.8552.931.96
2Lens285455.1955.351.98
3Olympique Marseille295852.4948.351.67
4Rennes294948.9743.431.5
5Olympique Lyonnais294348.4145.981.59
6LOSC Lille294946.7747.571.64
7Monaco295044.5548.961.69
8Strasbourg284643.5341.431.48
9Toulouse293942.1840.991.41
10Nice293438.8937.311.29
11Paris293737.8837.161.28
12Lorient293837.0438.751.34
13Brest283733.7737.261.33
14Le Havre292433.1934.731.2
15Auxerre292329.4833.011.14
16Angers SCO292529.2229.251.01
17Metz292628.2328.570.99
18Nantes282426.3328.171.01
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Sun, Apr 12
xG
1.03
Olympique Lyonnais
2 - 0
Lorient
1.33
1.24
Toulouse
0 - 4
LOSC Lille
2.1
2.23
Nice
1 - 1
Le Havre
2.09
xG
Sat, Apr 11
xG
1.07
Rennes
2 - 1
Angers SCO
1.2
0.68
Auxerre
0 - 0
Nantes
1.28
xG
Fri, Apr 10
xG
2.25
Olympique Marseille
3 - 1
Metz
0.29
2.46
Paris
4 - 1
Monaco
2.25
xG
Sun, Apr 5
xG
1.02
Monaco
2 - 1
Olympique Marseille
2.55
0.65
Le Havre
1 - 1
Auxerre
1.48
2.13
Metz
0 - 0
Nantes
0.78
1.11
Lorient
1 - 1
Paris
1.32
0.41
Angers SCO
0 - 0
Olympique Lyonnais
1.04
xG
Sat, Apr 4
xG
2.7
LOSC Lille
3 - 0
Lens
0.64
1.18
Brest
3 - 4
Rennes
3.22
2.42
Strasbourg
3 - 1
Nice
0.53
xG
Fri, Apr 3
xG
1.55
Paris Saint Germain
3 - 1
Toulouse
0.15
xG
Sun, Mar 22
xG
1.63
Nantes
2 - 3
Strasbourg
2.28
1.61
Rennes
0 - 0
Metz
0.42
1.6
Paris
3 - 2
Le Havre
2.26
0.78
Olympique Marseille
1 - 2
LOSC Lille
1.26
1.29
Olympique Lyonnais
1 - 2
Monaco
2.77
xG
Sat, Mar 21
xG
0.46
Nice
0 - 4
Paris Saint Germain
2.81
1.52
Auxerre
3 - 0
Brest
0.83
0.95
Toulouse
1 - 0
Lorient
0.6
xG
Fri, Mar 20
xG
3.09
Lens
5 - 1
Angers SCO
1.73
xG
Sun, Mar 15
xG
1.37
Rennes
1 - 2
LOSC Lille
1.33
0.97
Le Havre
0 - 0
Olympique Lyonnais
1.24
2.09
Metz
3 - 4
Toulouse
1.68
1.4
Strasbourg
0 - 0
Paris
0.68
xG
Sat, Mar 14
xG
1.88
Monaco
2 - 0
Brest
1.3
0.99
Angers SCO
0 - 2
Nice
1.14
2.01
Lorient
2 - 1
Lens
1.75
xG
Fri, Mar 13
xG
1.14
Olympique Marseille
1 - 0
Auxerre
0.38
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

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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 55.35 expected goals from 28 games (1.98/90). With 54 goals scored, they are underperforming by 1.4.

Who has the best defence?

Paris Saint Germain have the tightest defence by xGA, conceding just 24.49 expected goals (0.91/90). Their actual goals conceded stands at 23.

Biggest overperformer

Olympique Marseille are the biggest overperformers in Ligue 1, scoring 58 goals from an xG of just 48.35 — a difference of +9.7. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Le Havre are the most wasteful in front of goal, scoring 24 from an xG of 34.73 (diff: -10.7). 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: 2026-04-14 22:05:59