#TeamPGxG/90+/-
1Lens275454.742.03-0.7
2Paris Saint Germain265851.441.98+6.6
3Monaco274745.881.7+1.1
4Olympique Marseille275444.041.63+10
5Olympique Lyonnais274143.891.63-2.9
6LOSC Lille274242.981.59-1
7Toulouse273839.631.47-1.6
8Rennes274338.931.44+4.1
9Strasbourg274338.351.42+4.7
10Lorient273736.31.34+0.7
11Brest273436.081.34-2.1
12Nice273234.471.28-2.5
13Paris273233.441.24-1.4
14Le Havre272231.961.18-10
15Auxerre272230.861.14-8.9
16Angers SCO272427.651.02-3.7
17Nantes262426.241.01-2.2
18Metz272526.230.97-1.2
#TeamPGAxGA/90+/-
1Paris Saint Germain262224.340.94-2.3
2Olympique Marseille273530.221.12+4.8
3LOSC Lille273431.021.15+3
4Toulouse273232.191.19-0.2
5Strasbourg273332.431.2+0.6
6Auxerre273635.331.31+0.7
7Lorient274135.951.33+5.1
8Lens272436.231.34-12.2
9Monaco273838.111.41-0.1
10Brest273938.541.43+0.5
11Olympique Lyonnais272939.141.45-10.1
12Nantes264539.921.54+5.1
13Rennes273740.621.5-3.6
14Angers SCO273741.41.53-4.4
15Le Havre273543.531.61-8.5
16Paris274346.311.72-3.3
17Nice275248.911.81+3.1
18Metz276048.921.81+11.1
#TeamPPTSxPTS/90+/-
1Paris Saint Germain266051.992+8
2Lens275947.281.75+11.7
3Olympique Marseille274945.871.7+3.1
4LOSC Lille274744.131.63+2.9
5Monaco274641.781.55+4.2
6Toulouse273741.691.54-4.7
7Strasbourg274039.881.48+0.1
8Olympique Lyonnais274739.171.45+7.8
9Rennes274437.661.39+6.3
10Brest273636.881.37-0.9
11Lorient273736.181.34+0.8
12Auxerre272234.761.29-12.8
13Le Havre272731.81.18-4.8
14Paris273130.971.150
15Nice272729.581.1-2.6
16Angers SCO273228.471.05+3.5
17Nantes261727.031.04-10
18Metz271424.090.89-10.1
#TeamPxGxGAxGD/90
1Paris Saint Germain2651.4424.3427.11.04
2Lens2754.7436.2318.510.69
3Olympique Marseille2744.0430.2213.820.51
4LOSC Lille2742.9831.0211.960.44
5Monaco2745.8838.117.770.29
6Toulouse2739.6332.197.440.28
7Strasbourg2738.3532.435.920.22
8Olympique Lyonnais2743.8939.144.750.18
9Lorient2736.335.950.350.01
10Rennes2738.9340.62-1.69-0.06
11Brest2736.0838.54-2.46-0.09
12Auxerre2730.8635.33-4.47-0.17
13Le Havre2731.9643.53-11.57-0.43
14Paris2733.4446.31-12.87-0.48
15Nantes2626.2439.92-13.68-0.53
16Angers SCO2727.6541.4-13.75-0.51
17Nice2734.4748.91-14.44-0.53
18Metz2726.2348.92-22.69-0.84
#TeamPGnpxGxG/90
1Lens275450.7954.742.03
2Paris Saint Germain265846.751.441.98
3Monaco274741.1445.881.7
4Olympique Lyonnais274140.7343.891.63
5LOSC Lille274239.0342.981.59
6Olympique Marseille275438.5144.041.63
7Rennes274336.5638.931.44
8Toulouse273834.139.631.47
9Strasbourg274333.6138.351.42
10Nice273232.8934.471.28
11Lorient273732.3536.31.34
12Brest273429.7636.081.34
13Paris273229.4933.441.24
14Le Havre272228.0131.961.18
15Auxerre272226.9130.861.14
16Angers SCO272426.0727.651.02
17Nantes262423.0826.241.01
18Metz272522.2826.230.97
#TeamPGxGoTxG/90
1Paris Saint Germain265857.451.441.98
2Lens275454.8954.742.03
3Olympique Marseille275447.9844.041.63
4Olympique Lyonnais274147.0743.891.63
5Rennes274344.1738.931.44
6Monaco274742.6645.881.7
7LOSC Lille274241.6242.981.59
8Toulouse273840.9639.631.47
9Strasbourg274339.6538.351.42
10Nice273236.1434.471.28
11Lorient273733.7736.31.34
12Paris273233.6833.441.24
13Brest273431.6236.081.34
14Le Havre272229.8431.961.18
15Auxerre272228.2630.861.14
16Angers SCO272428.1627.651.02
17Metz272525.6726.230.97
18Nantes262425.1726.241.01
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
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
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

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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 54.74 expected goals from 27 games (2.03/90). With 54 goals scored, they are underperforming by 0.7.

Who has the best defence?

Paris Saint Germain have the tightest defence by xGA, conceding just 24.34 expected goals (0.94/90). Their actual goals conceded stands at 22.

Biggest overperformer

Olympique Marseille are the biggest overperformers in Ligue 1, scoring 54 goals from an xG of just 44.04 — a difference of +10. 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 22 from an xG of 31.96 (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: 2026-03-24 14:22:09