#TeamPGxG/90+/-
1Paris Saint Germain347467.811.99+6.2
2Lens346667.51.99-1.5
3Olympique Marseille346357.681.7+5.3
4Monaco346055.411.63+4.6
5LOSC Lille345253.851.58-1.9
6Rennes345952.961.56+6
7Olympique Lyonnais345352.461.54+0.5
8Strasbourg345849.71.46+8.3
9Lorient344845.791.35+2.2
10Toulouse334745.591.38+1.4
11Paris344745.011.32+2
12Brest344343.881.29-0.9
13Nice343742.191.24-5.2
14Le Havre3432401.18-8
15Auxerre343438.21.12-4.2
16Nantes332936.41.1-7.4
17Angers SCO342934.491.01-5.5
18Metz343234.051-2.1
#TeamPGAxGA/90+/-
1Paris Saint Germain342933.330.98-4.3
2LOSC Lille343735.381.04+1.6
3Olympique Marseille344540.881.2+4.1
4Toulouse334641.611.26+4.4
5Lens3435441.29-9
6Strasbourg344745.271.33+1.7
7Auxerre344446.531.37-2.5
8Lorient345146.781.38+4.2
9Olympique Lyonnais344047.41.39-7.4
10Monaco345448.721.43+5.3
11Nantes335249.031.49+3
12Rennes345052.161.53-2.2
13Le Havre344452.181.53-8.2
14Brest345552.381.54+2.6
15Angers SCO344853.751.58-5.8
16Paris345055.021.62-5
17Nice346058.261.71+1.7
18Metz347660.291.77+15.7
#TeamPPTSxPTS/90+/-
1Paris Saint Germain347667.61.99+8.4
2Lens347058.971.73+11
3LOSC Lille346158.041.71+3
4Olympique Marseille345957.51.69+1.5
5Monaco345450.711.49+3.3
6Olympique Lyonnais346049.841.47+10.2
7Strasbourg345348.951.44+4.1
8Rennes345948.461.43+10.5
9Toulouse334448.371.47-4.4
10Lorient344545.461.34-0.5
11Brest343943.521.28-4.5
12Paris344442.541.25+1.5
13Auxerre343441.861.23-7.9
14Le Havre343540.511.19-5.5
15Nice343238.241.12-6.2
16Nantes332337.451.13-14.5
17Angers SCO343634.511.02+1.5
18Metz341731.570.93-14.6
#TeamPxGxGAxGD/90
1Paris Saint Germain3467.8133.3334.481.01
2Lens3467.54423.50.69
3LOSC Lille3453.8535.3818.470.54
4Olympique Marseille3457.6840.8816.80.49
5Monaco3455.4148.726.690.2
6Olympique Lyonnais3452.4647.45.060.15
7Strasbourg3449.745.274.430.13
8Toulouse3345.5941.613.980.12
9Rennes3452.9652.160.80.02
10Lorient3445.7946.78-0.99-0.03
11Auxerre3438.246.53-8.33-0.25
12Brest3443.8852.38-8.5-0.25
13Paris3445.0155.02-10.01-0.29
14Le Havre344052.18-12.18-0.36
15Nantes3336.449.03-12.63-0.38
16Nice3442.1958.26-16.07-0.47
17Angers SCO3434.4953.75-19.26-0.57
18Metz3434.0560.29-26.24-0.77
#TeamPGnpxGxG/90
1Lens346663.5567.51.99
2Paris Saint Germain347461.4967.811.99
3Olympique Marseille346351.3657.681.7
4Monaco346049.8855.411.63
5Olympique Lyonnais345348.5152.461.54
6Rennes345948.2252.961.56
7LOSC Lille345247.5353.851.58
8Strasbourg345844.1749.71.46
9Paris344740.2745.011.32
10Lorient344840.2645.791.35
11Toulouse334740.0645.591.38
12Nice343739.8242.191.24
13Brest344337.5643.881.29
14Le Havre343235.26401.18
15Auxerre343434.2538.21.12
16Nantes332933.2436.41.1
17Angers SCO342930.5434.491.01
18Metz343229.3134.051
#TeamPGxGoTxG/90
1Paris Saint Germain347475.2467.811.99
2Lens346662.9667.51.99
3Olympique Marseille346359.7557.681.7
4Olympique Lyonnais345358.8152.461.54
5Rennes345957.4652.961.56
6LOSC Lille345252.2453.851.58
7Strasbourg345852.2249.71.46
8Monaco346052.0355.411.63
9Paris344748.1645.011.32
10Toulouse334746.9745.591.38
11Lorient344846.1845.791.35
12Nice343741.0342.191.24
13Brest344339.7443.881.29
14Le Havre343237.66401.18
15Auxerre343436.6438.21.12
16Angers SCO342934.334.491.01
17Nantes332934.1136.41.1
18Metz343233.6234.051
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Sun, May 17
xG
2.17
Olympique Lyonnais
0 - 4
Lens
1.85
1.9
Paris
2 - 1
Paris Saint Germain
0.72
1.9
Strasbourg
5 - 4
Monaco
1.5
1.83
Nice
0 - 0
Metz
0.98
1.64
LOSC Lille
0 - 2
Auxerre
0.39
0.14
Nantes
0 - 0
Toulouse
0.2
1.43
Lorient
0 - 2
Le Havre
0.85
1.65
Brest
1 - 1
Angers SCO
0.49
2.66
Olympique Marseille
3 - 1
Rennes
2.41
xG
Wed, May 13
xG
2.96
Lens
0 - 2
Paris Saint Germain
1.13
3.07
Brest
1 - 2
Strasbourg
1.34
xG
Sun, May 10
xG
1.69
Rennes
2 - 1
Paris
1.54
1.33
Toulouse
2 - 1
Olympique Lyonnais
1.77
1.01
Auxerre
2 - 1
Nice
1.48
1.5
Le Havre
0 - 1
Olympique Marseille
1.01
0.82
Angers SCO
1 - 1
Strasbourg
1.8
0.68
Metz
0 - 4
Lorient
1.61
0.3
Monaco
0 - 1
LOSC Lille
0.42
1.84
Paris Saint Germain
1 - 0
Brest
0.27
xG
Fri, May 8
xG
1.03
Lens
1 - 0
Nantes
1.24
xG
Sun, May 3
xG
2.05
Olympique Lyonnais
4 - 2
Rennes
0.9
2.05
Auxerre
3 - 1
Angers SCO
2
1.59
Paris
4 - 0
Brest
0.75
0.37
Strasbourg
1 - 2
Toulouse
1.28
1.67
LOSC Lille
1 - 1
Le Havre
0.15
xG
Sat, May 2
xG
0.95
Nice
1 - 1
Lens
0.66
1.21
Metz
1 - 2
Monaco
1.3
3.09
Paris Saint Germain
2 - 2
Lorient
0.97
2.06
Nantes
3 - 0
Olympique Marseille
1.44
xG
Sun, Apr 26
xG
1.76
Olympique Marseille
1 - 1
Nice
1.37
1.36
Rennes
2 - 1
Nantes
2.22
2.16
Le Havre
4 - 4
Metz
1.49
1.35
Paris
0 - 1
LOSC Lille
1.7
2.25
Lorient
2 - 3
Strasbourg
1.59
xG
Sat, Apr 25
xG
1.65
Toulouse
2 - 2
Monaco
0.91
0.6
Angers SCO
0 - 3
Paris Saint Germain
2.37
2.1
Olympique Lyonnais
3 - 2
Auxerre
0.99
xG
Fri, Apr 24
xG
0.36
Brest
3 - 3
Lens
3.95
xG
Wed, Apr 22
xG
2.08
Paris Saint Germain
3 - 0
Nantes
1.2
xG
Sun, Apr 19
xG
3.4
Paris Saint Germain
1 - 2
Olympique Lyonnais
0.83
0.71
Strasbourg
0 - 3
Rennes
3.19
0.95
Metz
1 - 3
Paris
1.36
0.97
Nantes
1 - 1
Brest
0.33
2.25
Monaco
2 - 2
Auxerre
0.81
xG
Sat, Apr 18
xG
0.56
LOSC Lille
0 - 0
Nice
0.17
1.12
Angers SCO
1 - 1
Le Havre
1.62
1.25
Lorient
2 - 0
Olympique Marseille
1.95
xG
Fri, Apr 17
xG
3.39
Lens
3 - 2
Toulouse
0.27
xG
Sun, Apr 12
xG
1.03
Olympique Lyonnais
2 - 0
Lorient
1.33
1.24
Toulouse
0 - 4
LOSC Lille
2.1

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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?

Paris Saint Germain top the xG charts with 67.81 expected goals from 34 games (1.99/90). They have scored 74 actual goals, outperforming their xG by +6.2.

Who has the best defence?

Paris Saint Germain have the tightest defence by xGA, conceding just 33.33 expected goals (0.98/90). Their actual goals conceded stands at 29.

Biggest overperformer

Strasbourg are the biggest overperformers in Ligue 1, scoring 58 goals from an xG of just 49.7 — a difference of +8.3. 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 32 from an xG of 40 (diff: -8). 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: 2026-06-07 14:36:14