#TeamPGxG/90+/-
1Lens295758.692.02-1.7
2Paris Saint Germain296558.352.01+6.7
3Monaco305251.141.7+0.9
4Olympique Marseille305850.391.68+7.6
5LOSC Lille304948.271.61+0.7
6Olympique Lyonnais304546.831.56-1.8
7Rennes305246.781.56+5.2
8Strasbourg294642.181.45+3.8
9Toulouse304141.261.38-0.3
10Lorient304039.991.330
11Paris304038.571.29+1.4
12Brest293837.581.3+0.4
13Nice303437.491.25-3.5
14Le Havre302536.411.21-11.4
15Auxerre302533.751.13-8.8
16Angers SCO302630.331.01-4.3
17Nantes302530.321.01-5.3
18Metz302729.510.98-2.5
#TeamPGAxGA/90+/-
1Paris Saint Germain292526.540.92-1.5
2Olympique Marseille304032.721.09+7.3
3LOSC Lille303433.021.1+1
4Strasbourg293736.341.25+0.7
5Toulouse3042391.3+3
6Lens292939.111.35-10.1
7Auxerre303939.331.31-0.3
8Lorient304440.381.35+3.6
9Brest294442.71.47+1.3
10Monaco304543.211.44+1.8
11Rennes304143.711.46-2.7
12Olympique Lyonnais303044.221.47-14.2
13Nantes304944.991.5+4
14Angers SCO304045.351.51-5.4
15Le Havre303848.381.61-10.4
16Paris304650.551.69-4.6
17Metz306653.491.78+12.5
18Nice305654.81.83+1.2
#TeamPPTSxPTS/90+/-
1Paris Saint Germain296658.982.03+7
2Olympique Marseille305252.421.75-0.4
3Lens296250.461.74+11.5
4LOSC Lille305450.341.68+3.7
5Monaco305046.081.54+3.9
6Rennes305344.231.47+8.8
7Toulouse303743.041.43-6
8Strasbourg294342.811.48+0.2
9Olympique Lyonnais305442.461.42+11.5
10Lorient304139.851.33+1.2
11Auxerre302538.21.27-13.2
12Brest293738.071.31-1.1
13Paris303835.71.19+2.3
14Le Havre303035.651.19-5.7
15Nantes302032.11.07-12.1
16Nice302932.021.07-3
17Angers SCO303431.561.05+2.4
18Metz301527.550.92-12.6
#TeamPxGxGAxGD/90
1Paris Saint Germain2958.3526.5431.811.1
2Lens2958.6939.1119.580.68
3Olympique Marseille3050.3932.7217.670.59
4LOSC Lille3048.2733.0215.250.51
5Monaco3051.1443.217.930.26
6Strasbourg2942.1836.345.840.2
7Rennes3046.7843.713.070.1
8Olympique Lyonnais3046.8344.222.610.09
9Toulouse3041.26392.260.08
10Lorient3039.9940.38-0.39-0.01
11Brest2937.5842.7-5.12-0.18
12Auxerre3033.7539.33-5.58-0.19
13Le Havre3036.4148.38-11.97-0.4
14Paris3038.5750.55-11.98-0.4
15Nantes3030.3244.99-14.67-0.49
16Angers SCO3030.3345.35-15.02-0.5
17Nice3037.4954.8-17.31-0.58
18Metz3029.5153.49-23.98-0.8
#TeamPGnpxGxG/90
1Lens295754.7458.692.02
2Paris Saint Germain296552.0358.352.01
3Monaco305245.6151.141.7
4Olympique Marseille305844.8650.391.68
5Olympique Lyonnais304543.6746.831.56
6Rennes305242.8346.781.56
7LOSC Lille304942.7448.271.61
8Strasbourg294637.4442.181.45
9Lorient304036.0439.991.33
10Nice303435.9137.491.25
11Toulouse304135.7341.261.38
12Paris304034.6238.571.29
13Le Havre302532.4636.411.21
14Brest293831.2637.581.3
15Auxerre302529.833.751.13
16Angers SCO302627.9630.331.01
17Nantes302527.1630.321.01
18Metz302725.5629.510.98
#TeamPGxGoTxG/90
1Paris Saint Germain296563.8958.352.01
2Lens29575858.692.02
3Olympique Marseille305852.9250.391.68
4Rennes305252.0846.781.56
5Olympique Lyonnais304550.2946.831.56
6LOSC Lille304947.7648.271.61
7Monaco305246.9951.141.7
8Strasbourg294643.5642.181.45
9Toulouse304142.8141.261.38
10Paris304040.438.571.29
11Nice303439.1737.491.25
12Lorient304038.3239.991.33
13Le Havre302534.5636.411.21
14Brest293834.1637.581.3
15Angers SCO302630.6530.331.01
16Auxerre302530.3333.751.13
17Metz302728.8629.510.98
18Nantes302528.3330.321.01
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
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
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

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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 58.69 expected goals from 29 games (2.02/90). With 57 goals scored, they are underperforming by 1.7.

Who has the best defence?

Paris Saint Germain have the tightest defence by xGA, conceding just 26.54 expected goals (0.92/90). Their actual goals conceded stands at 25.

Biggest overperformer

Olympique Marseille are the biggest overperformers in Ligue 1, scoring 58 goals from an xG of just 50.39 — a difference of +7.6. 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 25 from an xG of 36.41 (diff: -11.4). 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: 2026-04-23 06:21:07