#TeamPGxG/90+/-
1Inter388973.741.94+15.3
2Juventus386169.451.83-8.5
3Atalanta385164.811.71-13.8
4Como386560.751.6+4.3
5AC Milan385360.471.59-7.5
6Roma385956.321.48+2.7
7Napoli385855.741.47+2.3
8Fiorentina384151.571.36-10.6
9Bologna384950.181.32-1.2
10Torino384446.421.22-2.4
11Genoa384146.361.22-5.4
12Lazio384144.541.17-3.5
13Sassuolo384643.881.15+2.1
14Udinese384543.61.15+1.4
15Pisa382641.111.08-15.1
16Cagliari384038.711.02+1.3
17Hellas Verona382537.150.98-12.2
18Cremonese383236.290.96-4.3
19Parma382833.890.89-5.9
20Lecce382833.830.89-5.8
#TeamPGAxGA/90+/-
1Inter383534.30.9+0.7
2Como382934.610.91-5.6
3Roma383137.690.99-6.7
4Juventus383438.061-4.1
5Napoli383640.421.06-4.4
6Bologna384642.781.13+3.2
7Atalanta383644.671.18-8.7
8AC Milan383547.211.24-12.2
9Hellas Verona386149.151.29+11.9
10Lazio384051.811.36-11.8
11Cagliari385353.391.41-0.4
12Fiorentina385054.481.43-4.5
13Sassuolo385054.891.44-4.9
14Udinese384855.621.46-7.6
15Genoa385156.11.48-5.1
16Torino386356.441.49+6.6
17Lecce385058.081.53-8.1
18Parma384659.181.56-13.2
19Pisa387159.391.56+11.6
20Cremonese385760.541.59-3.5
#TeamPPTSxPTS/90+/-
1Inter388775.92+11.1
2Juventus386969.711.83-0.7
3Como387167.491.78+3.5
4Atalanta385965.091.71-6.1
5Roma387364.721.7+8.3
6Napoli387661.931.63+14.1
7AC Milan387060.581.59+9.4
8Bologna385656.531.49-0.5
9Fiorentina384250.661.33-8.7
10Lazio385446.721.23+7.3
11Torino384546.421.22-1.4
12Genoa384146.291.22-5.3
13Sassuolo384945.541.2+3.5
14Udinese385045.31.19+4.7
15Hellas Verona382144.571.17-23.6
16Cagliari384343.111.13-0.1
17Pisa381842.261.11-24.3
18Lecce383838.471.01-0.5
19Parma384538.381.01+6.6
20Cremonese383438.261.01-4.3
#TeamPxGxGAxGD/90
1Inter3873.7434.339.441.04
2Juventus3869.4538.0631.390.83
3Como3860.7534.6126.140.69
4Atalanta3864.8144.6720.140.53
5Roma3856.3237.6918.630.49
6Napoli3855.7440.4215.320.4
7AC Milan3860.4747.2113.260.35
8Bologna3850.1842.787.40.19
9Fiorentina3851.5754.48-2.91-0.08
10Lazio3844.5451.81-7.27-0.19
11Genoa3846.3656.1-9.74-0.26
12Torino3846.4256.44-10.02-0.26
13Sassuolo3843.8854.89-11.01-0.29
14Hellas Verona3837.1549.15-12-0.32
15Udinese3843.655.62-12.02-0.32
16Cagliari3838.7153.39-14.68-0.39
17Pisa3841.1159.39-18.28-0.48
18Lecce3833.8358.08-24.25-0.64
19Cremonese3836.2960.54-24.25-0.64
20Parma3833.8959.18-25.29-0.67
#TeamPGnpxGxG/90
1Inter38896973.741.94
2Juventus386165.569.451.83
3Atalanta385162.4464.811.71
4Como386554.4360.751.6
5AC Milan385353.3660.471.59
6Napoli385851.7955.741.47
7Roma385950.7956.321.48
8Fiorentina384146.8351.571.36
9Bologna384944.6550.181.32
10Torino384440.8946.421.22
11Sassuolo384640.7243.881.15
12Lazio384140.5944.541.17
13Udinese384539.6543.61.15
14Genoa384139.2546.361.22
15Cagliari384037.1338.711.02
16Pisa382635.5841.111.08
17Hellas Verona382534.7837.150.98
18Cremonese383233.1336.290.96
19Parma382832.3133.890.89
20Lecce382832.2533.830.89
#TeamPGxGoTxG/90
1Inter388974.7973.741.94
2Juventus386164.7269.451.83
3Roma385961.0456.321.48
4Como386556.4360.751.6
5Atalanta385156.2364.811.71
6Napoli385856.2255.741.47
7AC Milan385349.3760.471.59
8Torino384448.846.421.22
9Genoa384145.446.361.22
10Lazio384144.9544.541.17
11Sassuolo384644.9243.881.15
12Bologna384944.950.181.32
13Fiorentina384140.8851.571.36
14Udinese384539.7743.61.15
15Cremonese383238.3636.290.96
16Cagliari384038.1238.711.02
17Pisa382632.4241.111.08
18Hellas Verona382530.4537.150.98
19Lecce382828.5533.830.89
20Parma382826.2733.890.89
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Sun, May 24
xG
0.98
Torino
2 - 2
Juventus
2.22
1.76
AC Milan
1 - 2
Cagliari
2.64
0.45
Hellas Verona
0 - 2
Roma
2.66
1.14
Cremonese
1 - 4
Como
2.33
1.28
Lecce
1 - 0
Genoa
0.91
1.73
Napoli
1 - 0
Udinese
0.59
1.25
Parma
1 - 0
Sassuolo
0.86
xG
Sat, May 23
xG
1.2
Lazio
2 - 1
Pisa
1.54
1.31
Bologna
3 - 3
Inter
1.34
xG
Fri, May 22
xG
0.84
Fiorentina
1 - 1
Atalanta
1.82
xG
Sun, May 17
xG
0.37
Udinese
0 - 1
Cremonese
0.5
1.28
Cagliari
2 - 1
Torino
1.19
2.27
Sassuolo
2 - 3
Lecce
0.81
0.93
Atalanta
0 - 1
Bologna
0.77
2.35
Inter
1 - 1
Hellas Verona
0.92
1.55
Roma
2 - 0
Lazio
0.64
1.66
Genoa
1 - 2
AC Milan
1.72
2.27
Juventus
0 - 2
Fiorentina
0.63
0.71
Pisa
0 - 3
Napoli
1.18
2.39
Como
1 - 0
Parma
0.17
xG
Mon, May 11
xG
1.02
Napoli
2 - 3
Bologna
1.3
xG
Sun, May 10
xG
1.88
AC Milan
2 - 3
Atalanta
1.09
1.07
Parma
2 - 3
Roma
2.53
0.97
Cremonese
3 - 0
Pisa
0
1.2
Fiorentina
0 - 0
Genoa
0.67
1.29
Hellas Verona
0 - 1
Como
0.94
xG
Sat, May 9
xG
1.11
Lecce
0 - 1
Juventus
2.12
0.71
Lazio
0 - 3
Inter
1.37
1.5
Cagliari
0 - 2
Udinese
1.85
xG
Fri, May 8
xG
2.04
Torino
2 - 1
Sassuolo
1.52
xG
Mon, May 4
xG
2.34
Roma
4 - 0
Fiorentina
0.12
0.85
Cremonese
1 - 2
Lazio
1.04
xG
Sun, May 3
xG
1.98
Inter
2 - 0
Parma
0.41
2.86
Juventus
1 - 1
Hellas Verona
0.29
2.2
Sassuolo
2 - 0
AC Milan
0.37
0.8
Bologna
0 - 0
Cagliari
0.82
xG
Sat, May 2
xG
1.69
Atalanta
0 - 0
Genoa
0.55
1.26
Como
0 - 0
Napoli
0.68
2.17
Udinese
2 - 0
Torino
0.62
xG
Fri, May 1
xG
2.22
Pisa
1 - 2
Lecce
1.17
xG
Mon, Apr 27
xG
2.06
Lazio
3 - 3
Udinese
2.08
1.38
Cagliari
3 - 2
Atalanta
1.23
xG
Sun, Apr 26
xG
0.56
AC Milan
0 - 0
Juventus
0.49
2.4
Torino
2 - 2
Inter
1.53
0.51
Genoa
0 - 2
Como
0.79
1.87
Fiorentina
0 - 0
Sassuolo
1.12
xG
Sat, Apr 25
xG
0.38
Hellas Verona
0 - 0
Lecce
1.16
0.71
Bologna
0 - 2
Roma
1.47
1.53
Parma
1 - 0
Pisa
1.27
xG
Fri, Apr 24
xG
2.73
Napoli
4 - 0
Cremonese
0.27

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Serie A xG Table 2025/26

The Serie A xG table for 2025/26 tracks expected goals data for all 20 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?

Inter top the xG charts with 73.74 expected goals from 38 games (1.94/90). They have scored 89 actual goals, outperforming their xG by +15.3.

Who has the best defence?

Inter have the tightest defence by xGA, conceding just 34.3 expected goals (0.9/90). Their actual goals conceded stands at 35.

Biggest overperformer

Inter are the biggest overperformers in Serie A, scoring 89 goals from an xG of just 73.74 — a difference of +15.3. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Pisa are the most wasteful in front of goal, scoring 26 from an xG of 41.11 (diff: -15.1). 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: 2026-06-08 01:41:10