#TeamPGxG/90+/-
1Inter286457.542.06+6.5
2Atalanta283950.591.81-11.6
3Juventus285050.321.8-0.3
4AC Milan284446.611.66-2.6
5Como284644.811.6+1.2
6Napoli284342.331.51+0.7
7Fiorentina283042.281.51-12.3
8Roma283840.41.44-2.4
9Bologna283738.091.36-1.1
10Genoa283435.341.26-1.3
11Torino282832.321.15-4.3
12Udinese283331.241.12+1.8
13Lazio272631.141.15-5.1
14Sassuolo273430.91.14+3.1
15Pisa282030.151.08-10.2
16Hellas Verona282229.21.04-7.2
17Cremonese282227.881-5.9
18Parma282026.40.94-6.4
19Cagliari283026.240.94+3.8
20Lecce282023.760.85-3.8
#TeamPGAxGA/90+/-
1Inter282221.780.78+0.2
2Como282126.20.94-5.2
3Roma282128.751.03-7.8
4Juventus282828.811.03-0.8
5Napoli282931.421.12-2.4
6AC Milan282032.881.17-12.9
7Bologna283433.071.18+0.9
8Atalanta282633.771.21-7.8
9Hellas Verona284935.481.27+13.5
10Lazio272738.181.41-11.2
11Sassuolo273638.921.44-2.9
12Cagliari283839.161.4-1.2
13Fiorentina284239.551.41+2.5
14Udinese284140.251.44+0.8
15Torino284942.341.51+6.7
16Lecce283742.581.52-5.6
17Genoa284043.441.55-3.4
18Parma283244.981.61-13
19Pisa284845.721.63+2.3
20Cremonese284050.261.8-10.3
#TeamPPTSxPTS/90+/-
1Inter286759.262.12+7.7
2Juventus285050.151.79-0.1
3Atalanta284649.471.77-3.5
4Como285149.221.76+1.8
5AC Milan286047.151.68+12.9
6Roma285146.641.67+4.4
7Napoli285645.051.61+11
8Bologna283941.531.48-2.5
9Fiorentina282540.581.45-15.6
10Hellas Verona281833.881.21-15.9
11Genoa283033.581.2-3.6
12Udinese283633.381.19+2.6
13Torino283032.791.17-2.8
14Sassuolo273832.421.2+5.6
15Lazio273432.071.19+1.9
16Pisa281530.981.11-16
17Cagliari283030.181.08-0.2
18Parma283429.121.04+4.9
19Lecce282727.610.99-0.6
20Cremonese282425.20.9-1.2
#TeamPxGxGAxGD/90
1Inter2857.5421.7835.761.28
2Juventus2850.3228.8121.510.77
3Como2844.8126.218.610.66
4Atalanta2850.5933.7716.820.6
5AC Milan2846.6132.8813.730.49
6Roma2840.428.7511.650.42
7Napoli2842.3331.4210.910.39
8Bologna2838.0933.075.020.18
9Fiorentina2842.2839.552.730.1
10Hellas Verona2829.235.48-6.28-0.22
11Lazio2731.1438.18-7.04-0.26
12Sassuolo2730.938.92-8.02-0.3
13Genoa2835.3443.44-8.1-0.29
14Udinese2831.2440.25-9.01-0.32
15Torino2832.3242.34-10.02-0.36
16Cagliari2826.2439.16-12.92-0.46
17Pisa2830.1545.72-15.57-0.56
18Parma2826.444.98-18.58-0.66
19Lecce2823.7642.58-18.82-0.67
20Cremonese2827.8850.26-22.38-0.8
#TeamPGnpxGxG/90
1Inter286452.857.542.06
2Atalanta283948.2250.591.81
3Juventus285047.1650.321.8
4AC Milan284441.0846.611.66
5Como284640.0744.811.6
6Napoli284339.1742.331.51
7Fiorentina283037.5442.281.51
8Roma283837.2440.41.44
9Bologna283734.1438.091.36
10Genoa283429.8135.341.26
11Torino282828.3732.321.15
12Lazio272627.9831.141.15
13Sassuolo273427.7430.91.14
14Udinese283327.2931.241.12
15Hellas Verona282226.8329.21.04
16Cremonese282226.327.881
17Cagliari283025.4526.240.94
18Pisa282025.4130.151.08
19Parma282024.8226.40.94
20Lecce282022.1823.760.85
#TeamPGxGoTxG/90
1Inter286458.7357.542.06
2Juventus285051.1650.321.8
3Atalanta283944.250.591.81
4Napoli28434242.331.51
5Roma283841.7640.41.44
6AC Milan284440.4346.611.66
7Como284639.6544.811.6
8Genoa283437.0935.341.26
9Torino282836.7132.321.15
10Bologna283736.2638.091.36
11Sassuolo273433.5630.91.14
12Fiorentina283032.9342.281.51
13Lazio272628.2131.141.15
14Cremonese282227.7827.881
15Udinese283327.7231.241.12
16Cagliari283026.4426.240.94
17Hellas Verona282224.1829.21.04
18Pisa282023.5130.151.08
19Parma282018.9826.40.94
20Lecce282018.923.760.85
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Sun, Mar 8
xG
0.84
AC Milan
1 - 0
Inter
1.18
2.62
Genoa
2 - 1
Roma
0.53
1.43
Fiorentina
0 - 0
Parma
0.31
1.42
Bologna
1 - 2
Hellas Verona
1.93
1.94
Lecce
2 - 1
Cremonese
1.03
xG
Sat, Mar 7
xG
2.37
Juventus
4 - 0
Pisa
0.39
2.52
Atalanta
2 - 2
Udinese
0.65
0.67
Cagliari
1 - 2
Como
0.67
xG
Fri, Mar 6
xG
1.54
Napoli
2 - 1
Torino
0.59
xG
Mon, Mar 2
xG
1.75
Udinese
3 - 0
Fiorentina
0.6
0.44
Pisa
0 - 1
Bologna
0.45
xG
Sun, Mar 1
xG
1.89
Roma
3 - 3
Juventus
1.15
1.11
Torino
2 - 0
Lazio
1.08
1.29
Sassuolo
2 - 1
Atalanta
3.01
1.03
Cremonese
0 - 2
AC Milan
2.7
xG
Sat, Feb 28
xG
1.7
Inter
2 - 0
Genoa
0.22
0.48
Hellas Verona
1 - 2
Napoli
0.84
2.47
Como
3 - 1
Lecce
0.22
xG
Fri, Feb 27
xG
0.82
Parma
1 - 1
Cagliari
0.44
xG
Mon, Feb 23
xG
1.26
Bologna
1 - 0
Udinese
0.71
0.91
Fiorentina
1 - 0
Pisa
0.32
xG
Sun, Feb 22
xG
2.36
Roma
3 - 0
Cremonese
0.07
1.84
AC Milan
0 - 1
Parma
0.73
1
Atalanta
2 - 1
Napoli
0.72
1.55
Genoa
3 - 0
Torino
0.53
xG
Sat, Feb 21
xG
0.79
Cagliari
0 - 0
Lazio
0.89
0.12
Lecce
0 - 2
Inter
2.63
0.73
Juventus
0 - 2
Como
0.98
xG
Fri, Feb 20
xG
1.8
Sassuolo
3 - 0
Hellas Verona
0.63
xG
Wed, Feb 18
xG
0.68
AC Milan
1 - 1
Como
1.29
xG
Mon, Feb 16
xG
1.31
Cagliari
0 - 2
Lecce
1.64
xG
Sun, Feb 15
xG
0.79
Napoli
2 - 2
Roma
1.89
0.4
Torino
1 - 2
Bologna
1.59
2.76
Cremonese
0 - 0
Genoa
1.72
1.5
Parma
2 - 1
Hellas Verona
0.87
0.74
Udinese
1 - 2
Sassuolo
1.45
xG
Sat, Feb 14
xG
1.72
Inter
3 - 2
Juventus
1.2
1.52
Lazio
0 - 2
Atalanta
1.59
1.11
Como
1 - 2
Fiorentina
1.19
xG
Fri, Feb 13
xG
0.54
Pisa
1 - 2
AC Milan
1.94
xG
Mon, Feb 9
xG
1.85
Roma
2 - 0
Cagliari
0.42
2.38
Atalanta
2 - 1
Cremonese
0.95
xG
Sun, Feb 8
xG
3.08
Juventus
2 - 2
Lazio
1.3
0.77
Sassuolo
0 - 5
Inter
2.45
1.64
Lecce
2 - 1
Udinese
0.92
1.41
Bologna
0 - 1
Parma
0.2
xG
Sat, Feb 7
xG
1.57
Fiorentina
2 - 2
Torino
0.99
1.55
Genoa
2 - 3
Napoli
2.19
xG
Fri, Feb 6
xG
0.07
Hellas Verona
0 - 0
Pisa
0.8
xG
Tue, Feb 3
xG
0.68
Bologna
0 - 3
AC Milan
2.1

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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 57.54 expected goals from 28 games (2.06/90). They have scored 64 actual goals, outperforming their xG by +6.5.

Who has the best defence?

Inter have the tightest defence by xGA, conceding just 21.78 expected goals (0.78/90). Their actual goals conceded stands at 22.

Biggest overperformer

Inter are the biggest overperformers in Serie A, scoring 64 goals from an xG of just 57.54 — a difference of +6.5. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Fiorentina are the most wasteful in front of goal, scoring 30 from an xG of 42.28 (diff: -12.3). 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: 2026-03-09 07:05:52