#TeamPGxG/90+/-
1Inter358268.651.96+13.4
2Juventus355862.951.8-5
3Atalanta354761.011.74-14
4Como355955.171.58+3.8
5AC Milan354854.891.57-6.9
6Napoli355251.751.48+0.3
7Roma355249.521.41+2.5
8Fiorentina353849.071.4-11.1
9Bologna354246.531.33-4.5
10Genoa354043.191.23-3.2
11Torino353942.321.21-3.3
12Lazio353942.251.21-3.3
13Udinese354340.751.16+2.3
14Sassuolo354339.521.13+3.5
15Pisa352538.911.11-13.9
16Hellas Verona352434.50.99-10.5
17Cremonese352733.680.96-6.7
18Cagliari353633.420.95+2.6
19Parma352531.430.9-6.4
20Lecce352430.470.87-6.5
#TeamPGAxGA/90+/-
1Inter353131.270.89-0.3
2Como352831.980.91-4
3Juventus353035.291.01-5.3
4Roma352935.581.02-6.6
5Napoli353337.821.08-4.8
6Bologna354139.381.13+1.6
7Atalanta353241.021.17-9
8AC Milan352941.891.2-12.9
9Hellas Verona355743.21.23+13.8
10Lazio353447.451.36-13.5
11Cagliari354948.611.39+0.4
12Fiorentina354949.91.43-0.9
13Sassuolo354450.81.45-6.8
14Torino355851.351.47+6.7
15Udinese354651.761.48-5.8
16Genoa354851.891.48-3.9
17Lecce354753.111.52-6.1
18Parma354253.581.53-11.6
19Pisa356356.081.6+6.9
20Cremonese355358.021.66-5
#TeamPPTSxPTS/90+/-
1Inter358270.422.01+11.6
2Juventus356563.191.81+1.8
3Como356261.591.76+0.4
4Atalanta355560.821.74-5.8
5Roma356457.761.65+6.2
6Napoli357056.861.62+13.1
7AC Milan356756.191.61+10.8
8Bologna354952.281.49-3.3
9Fiorentina353747.811.37-10.8
10Lazio355144.161.26+6.8
11Genoa354042.971.23-3
12Torino354142.861.22-1.9
13Hellas Verona352042.121.2-22.1
14Udinese354742.021.2+5
15Sassuolo354941.261.18+7.7
16Pisa351839.321.12-21.3
17Cagliari353738.671.1-1.7
18Parma354235.941.03+6.1
19Lecce353235.291.01-3.3
20Cremonese352833.780.97-5.8
#TeamPxGxGAxGD/90
1Inter3568.6531.2737.381.07
2Juventus3562.9535.2927.660.79
3Como3555.1731.9823.190.66
4Atalanta3561.0141.0219.990.57
5Roma3549.5235.5813.940.4
6Napoli3551.7537.8213.930.4
7AC Milan3554.8941.89130.37
8Bologna3546.5339.387.150.2
9Fiorentina3549.0749.9-0.83-0.02
10Lazio3542.2547.45-5.2-0.15
11Genoa3543.1951.89-8.7-0.25
12Hellas Verona3534.543.2-8.7-0.25
13Torino3542.3251.35-9.03-0.26
14Udinese3540.7551.76-11.01-0.31
15Sassuolo3539.5250.8-11.28-0.32
16Cagliari3533.4248.61-15.19-0.43
17Pisa3538.9156.08-17.17-0.49
18Parma3531.4353.58-22.15-0.63
19Lecce3530.4753.11-22.64-0.65
20Cremonese3533.6858.02-24.34-0.7
#TeamPGnpxGxG/90
1Inter358263.9168.651.96
2Juventus35585962.951.8
3Atalanta354758.6461.011.74
4Como355949.6455.171.58
5AC Milan354849.3654.891.57
6Napoli355247.851.751.48
7Roma355245.5749.521.41
8Fiorentina353844.3349.071.4
9Bologna354241.7946.531.33
10Lazio353938.342.251.21
11Udinese354336.840.751.16
12Torino353936.7942.321.21
13Sassuolo354336.3639.521.13
14Genoa354036.0843.191.23
15Pisa352533.3838.911.11
16Hellas Verona352432.1334.50.99
17Cagliari353631.8433.420.95
18Cremonese352731.3133.680.96
19Parma352529.8531.430.9
20Lecce352428.8930.470.87
#TeamPGxGoTxG/90
1Inter358270.168.651.96
2Juventus355861.0462.951.8
3Roma355253.8449.521.41
4Atalanta354753.3361.011.74
5Como355950.4155.171.58
6Napoli355250.2951.751.48
7Torino353945.2142.321.21
8AC Milan354844.6654.891.57
9Genoa354043.6443.191.23
10Lazio353941.2842.251.21
11Sassuolo354341.2839.521.13
12Bologna354240.8446.531.33
13Fiorentina353839.0549.071.4
14Udinese354336.0940.751.16
15Cremonese352734.9133.680.96
16Cagliari353630.7833.420.95
17Pisa352530.6538.911.11
18Hellas Verona352428.134.50.99
19Lecce352423.8630.470.87
20Parma352523.2831.430.9
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
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
xG
Mon, Apr 20
xG
2.05
Lecce
1 - 1
Fiorentina
0.98
xG
Sun, Apr 19
xG
1.22
Juventus
2 - 0
Bologna
0.86
0.88
Pisa
1 - 2
Genoa
1.78
0.65
Hellas Verona
0 - 1
AC Milan
0.5
0.99
Cremonese
0 - 0
Torino
0.17
xG
Sat, Apr 18
xG
1.19
Roma
1 - 1
Atalanta
0.67
0.72
Napoli
0 - 2
Lazio
2.7
1.23
Udinese
0 - 1
Parma
1.32
xG
Fri, Apr 17
xG
2.33
Inter
3 - 0
Cagliari
0.59
1.1
Sassuolo
2 - 1
Como
0.99
xG
Mon, Apr 13
xG
0.49
Fiorentina
1 - 0
Lazio
1.35
xG
Sun, Apr 12
xG
2.93
Como
3 - 4
Inter
0.92
1.98
Bologna
2 - 0
Lecce
0.29
0.14
Parma
1 - 1
Napoli
1.4
1.63
Genoa
2 - 1
Sassuolo
1.17
xG
Sat, Apr 11
xG
2.18
Atalanta
0 - 1
Juventus
0.96
2.3
AC Milan
0 - 3
Udinese
1.46
0.79
Torino
2 - 1
Hellas Verona
1.27
1.19
Cagliari
1 - 0
Cremonese
0.35
xG
Fri, Apr 10
xG
1.35
Roma
3 - 0
Pisa
1.03
xG
Mon, Apr 6
xG
1.05
Napoli
1 - 0
AC Milan
0.58
2.19
Juventus
2 - 0
Genoa
1.45
0.42
Lecce
0 - 3
Atalanta
2.24
0.93
Udinese
0 - 0
Como
0.74
xG
Sun, Apr 5
xG
1.5
Inter
5 - 2
Roma
0.87
0.46
Pisa
0 - 1
Torino
1.65
1.46
Cremonese
1 - 2
Bologna
1.15
xG
Sat, Apr 4
xG
0.47
Lazio
1 - 1
Parma
0.4
1.27
Hellas Verona
0 - 1
Fiorentina
0.4
0.62
Sassuolo
2 - 1
Cagliari
1.57

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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 68.65 expected goals from 35 games (1.96/90). They have scored 82 actual goals, outperforming their xG by +13.4.

Who has the best defence?

Inter have the tightest defence by xGA, conceding just 31.27 expected goals (0.89/90). Their actual goals conceded stands at 31.

Biggest overperformer

Inter are the biggest overperformers in Serie A, scoring 82 goals from an xG of just 68.65 — a difference of +13.4. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Atalanta are the most wasteful in front of goal, scoring 47 from an xG of 61.01 (diff: -14). 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: 2026-05-05 05:35:57