#TeamPGxG/90+/-
1Inter306660.492.02+5.5
2Juventus305255.561.85-3.6
3Atalanta304152.271.74-11.3
4AC Milan304750.411.68-3.4
5Como305348.431.61+4.6
6Napoli304645.021.5+1
7Fiorentina303544.931.5-9.9
8Roma304042.51.42-2.5
9Bologna303841.061.37-3.1
10Genoa303637.321.24-1.3
11Torino303436.571.22-2.6
12Lazio303134.511.15-3.5
13Sassuolo303633.241.11+2.8
14Pisa302333.041.1-10
15Udinese303532.881.1+2.1
16Hellas Verona302230.681.02-8.7
17Cremonese302529.710.99-4.7
18Cagliari303128.030.93+3
19Parma302127.640.92-6.6
20Lecce302125.470.85-4.5
#TeamPGAxGA/90+/-
1Inter302424.090.8-0.1
2Como302227.690.92-5.7
3Juventus302930.341.01-1.3
4Roma302331.611.05-8.6
5Napoli303032.811.09-2.8
6Bologna303634.691.16+1.3
7AC Milan302335.831.19-12.8
8Atalanta302736.731.22-9.7
9Hellas Verona305237.231.24+14.8
10Fiorentina304441.951.4+2.1
11Lazio302842.851.43-14.9
12Cagliari304243.311.44-1.3
13Sassuolo304044.361.48-4.4
14Udinese304244.361.48-2.4
15Lecce304044.61.49-4.6
16Genoa304244.71.49-2.7
17Torino305344.891.5+8.1
18Parma303847.311.58-9.3
19Pisa305448.71.62+5.3
20Cremonese304451.711.72-7.7
#TeamPPTSxPTS/90+/-
1Inter306962.462.08+6.5
2Juventus305455.031.83-1
3Como305753.451.78+3.6
4Atalanta305051.351.71-1.4
5AC Milan306350.611.69+12.4
6Roma305448.921.63+5.1
7Napoli306248.691.62+13.3
8Bologna304245.241.51-3.2
9Fiorentina302943.471.45-14.5
10Genoa303336.831.23-3.8
11Torino303336.631.22-3.6
12Hellas Verona301836.231.21-18.2
13Lazio304335.391.18+7.6
14Udinese303934.761.16+4.2
15Sassuolo303934.551.15+4.5
16Pisa301833.61.12-15.6
17Cagliari303031.471.05-1.5
18Parma3034311.03+3
19Lecce302730.041-3
20Cremonese302728.130.94-1.1
#TeamPxGxGAxGD/90
1Inter3060.4924.0936.41.21
2Juventus3055.5630.3425.220.84
3Como3048.4327.6920.740.69
4Atalanta3052.2736.7315.540.52
5AC Milan3050.4135.8314.580.49
6Napoli3045.0232.8112.210.41
7Roma3042.531.6110.890.36
8Bologna3041.0634.696.370.21
9Fiorentina3044.9341.952.980.1
10Hellas Verona3030.6837.23-6.55-0.22
11Genoa3037.3244.7-7.38-0.25
12Torino3036.5744.89-8.32-0.28
13Lazio3034.5142.85-8.34-0.28
14Sassuolo3033.2444.36-11.12-0.37
15Udinese3032.8844.36-11.48-0.38
16Cagliari3028.0343.31-15.28-0.51
17Pisa3033.0448.7-15.66-0.52
18Lecce3025.4744.6-19.13-0.64
19Parma3027.6447.31-19.67-0.66
20Cremonese3029.7151.71-22-0.73
#TeamPGnpxGxG/90
1Inter306655.7560.492.02
2Juventus305251.6155.561.85
3Atalanta304149.952.271.74
4AC Milan304744.8850.411.68
5Como305343.6948.431.61
6Napoli304641.8645.021.5
7Fiorentina303540.1944.931.5
8Roma304038.5542.51.42
9Bologna303836.3241.061.37
10Torino303431.8336.571.22
11Genoa303631.7937.321.24
12Lazio303131.3534.511.15
13Sassuolo303630.0833.241.11
14Udinese303528.9332.881.1
15Hellas Verona302228.3130.681.02
16Cremonese302528.1329.710.99
17Pisa302327.5133.041.1
18Cagliari303127.2428.030.93
19Parma302126.0627.640.92
20Lecce302123.8925.470.85
#TeamPGxGoTxG/90
1Inter306660.6560.492.02
2Juventus305255.9955.561.85
3Atalanta304145.1852.271.74
4Como305344.1548.431.61
5Napoli304644.0945.021.5
6AC Milan304743.1850.411.68
7Roma304042.9442.51.42
8Torino303440.5636.571.22
9Bologna303838.541.061.37
10Genoa303637.9937.321.24
11Sassuolo303637.1133.241.11
12Fiorentina303535.7944.931.5
13Lazio303131.7834.511.15
14Cremonese302530.2829.710.99
15Udinese303528.6832.881.1
16Cagliari303126.9128.030.93
17Pisa302325.6433.041.1
18Hellas Verona302225.3830.681.02
19Parma302120.7327.640.92
20Lecce302119.725.470.85
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Sun, Mar 22
xG
1.5
Fiorentina
1 - 1
Inter
1.2
1.15
Roma
1 - 0
Lecce
0.89
1.57
Bologna
0 - 2
Lazio
0.76
1.24
Atalanta
1 - 0
Hellas Verona
1.04
1.54
Como
5 - 0
Pisa
0.5
xG
Sat, Mar 21
xG
2.27
Juventus
1 - 1
Sassuolo
0.73
1.55
AC Milan
3 - 2
Torino
2.24
0.35
Parma
0 - 2
Cremonese
0.54
xG
Fri, Mar 20
xG
1.33
Genoa
0 - 2
Udinese
0.96
0.52
Cagliari
0 - 1
Napoli
1.77
xG
Mon, Mar 16
xG
1.29
Cremonese
1 - 4
Fiorentina
1.12
xG
Sun, Mar 15
xG
0.52
Lazio
1 - 0
AC Milan
1.76
2.04
Como
2 - 1
Roma
0.98
2.39
Pisa
3 - 1
Cagliari
1.3
0.62
Sassuolo
0 - 1
Bologna
0.8
0.35
Hellas Verona
0 - 2
Genoa
0.66
xG
Sat, Mar 14
xG
0.71
Udinese
0 - 1
Juventus
2.73
0.94
Napoli
2 - 1
Lecce
0.87
1.86
Inter
1 - 1
Atalanta
0.62
xG
Fri, Mar 13
xG
1.9
Torino
4 - 1
Parma
0.82
xG
Mon, Mar 9
xG
1.83
Lazio
2 - 1
Sassuolo
0.88
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

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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 60.49 expected goals from 30 games (2.02/90). They have scored 66 actual goals, outperforming their xG by +5.5.

Who has the best defence?

Inter have the tightest defence by xGA, conceding just 24.09 expected goals (0.8/90). Their actual goals conceded stands at 24.

Biggest overperformer

Inter are the biggest overperformers in Serie A, scoring 66 goals from an xG of just 60.49 — a difference of +5.5. 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 41 from an xG of 52.27 (diff: -11.3). 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: 2026-03-24 14:22:09