#TeamPGxG/90+/-
1Inter327562.771.96+12.2
2Juventus325558.781.84-3.8
3Atalanta324457.031.78-13
4AC Milan324753.371.67-6.4
5Como325652.131.63+3.9
6Napoli324847.541.49+0.5
7Fiorentina323745.81.43-8.8
8Roma324544.661.4+0.3
9Bologna324244.571.39-2.6
10Genoa323840.361.26-2.4
11Torino323739.111.22-2.1
12Lazio323236.321.14-4.3
13Udinese323835.311.1+2.7
14Sassuolo323934.981.09+4
15Pisa322334.51.08-11.5
16Hellas Verona322333.011.03-10
17Cremonese322631.530.99-5.5
18Cagliari323330.750.96+2.3
19Parma322328.080.88-5.1
20Lecce322126.240.82-5.2
#TeamPGAxGA/90+/-
1Inter322927.90.87+1.1
2Como322629.450.92-3.5
3Napoli323133.521.05-2.5
4Juventus322933.991.06-5
5Roma322834.061.06-6.1
6Bologna323736.461.14+0.5
7Atalanta322838.171.19-10.2
8AC Milan322738.381.2-11.4
9Hellas Verona325538.481.2+16.5
10Lazio323043.651.36-13.7
11Cagliari324444.31.38-0.3
12Fiorentina324444.481.39-0.5
13Torino325446.51.45+7.5
14Sassuolo324347.51.48-4.5
15Udinese324247.51.48-5.5
16Genoa324548.051.5-3.1
17Parma324049.241.54-9.2
18Lecce324549.451.55-4.5
19Pisa325851.661.61+6.3
20Cremonese324754.11.69-7.1
#TeamPPTSxPTS/90+/-
1Inter327564.62.02+10.4
2Juventus326057.551.8+2.5
3Como325857.151.79+0.9
4Atalanta325356.11.75-3.1
5AC Milan326353.461.67+9.5
6Napoli326652.831.65+13.2
7Roma325751.431.61+5.6
8Bologna324849.071.53-1.1
9Fiorentina323544.821.4-9.8
10Torino323940.011.25-1
11Hellas Verona321839.81.24-21.8
12Genoa323639.471.23-3.5
13Lazio324438.821.21+5.2
14Udinese324337.141.16+5.9
15Sassuolo324236.31.13+5.7
16Cagliari323335.531.11-2.5
17Pisa321835.271.1-17.3
18Parma323632.411.01+3.6
19Lecce322730.560.96-3.6
20Cremonese322730.320.95-3.3
#TeamPxGxGAxGD/90
1Inter3262.7727.934.871.09
2Juventus3258.7833.9924.790.77
3Como3252.1329.4522.680.71
4Atalanta3257.0338.1718.860.59
5AC Milan3253.3738.3814.990.47
6Napoli3247.5433.5214.020.44
7Roma3244.6634.0610.60.33
8Bologna3244.5736.468.110.25
9Fiorentina3245.844.481.320.04
10Hellas Verona3233.0138.48-5.47-0.17
11Lazio3236.3243.65-7.33-0.23
12Torino3239.1146.5-7.39-0.23
13Genoa3240.3648.05-7.69-0.24
14Udinese3235.3147.5-12.19-0.38
15Sassuolo3234.9847.5-12.52-0.39
16Cagliari3230.7544.3-13.55-0.42
17Pisa3234.551.66-17.16-0.54
18Parma3228.0849.24-21.16-0.66
19Cremonese3231.5354.1-22.57-0.71
20Lecce3226.2449.45-23.21-0.73
#TeamPGnpxGxG/90
1Inter327558.0362.771.96
2Juventus325554.8358.781.84
3Atalanta324454.6657.031.78
4AC Milan324747.8453.371.67
5Como325646.652.131.63
6Napoli324844.3847.541.49
7Fiorentina323741.0645.81.43
8Roma324540.7144.661.4
9Bologna324239.8344.571.39
10Torino323734.3739.111.22
11Genoa323834.0440.361.26
12Lazio323233.1636.321.14
13Sassuolo323931.8234.981.09
14Udinese323831.3635.311.1
15Hellas Verona322330.6433.011.03
16Cagliari323329.1730.750.96
17Cremonese322629.1631.530.99
18Pisa322328.9734.51.08
19Parma322326.528.080.88
20Lecce322124.6626.240.82
#TeamPGxGoTxG/90
1Inter327564.7762.771.96
2Juventus325557.758.781.84
3Atalanta324449.5257.031.78
4Como325647.452.131.63
5Roma324547.0544.661.4
6Napoli324846.6647.541.49
7AC Milan324743.7453.371.67
8Torino323743.2339.111.22
9Genoa323841.0240.361.26
10Bologna324240.7744.571.39
11Sassuolo323938.9334.981.09
12Fiorentina323736.9745.81.43
13Lazio323235.0636.321.14
14Cremonese322632.4831.530.99
15Udinese323830.7435.311.1
16Cagliari323328.6230.750.96
17Hellas Verona322326.8633.011.03
18Pisa322326.6234.51.08
19Parma322321.6928.080.88
20Lecce322119.8426.240.82
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
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
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

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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 62.77 expected goals from 32 games (1.96/90). They have scored 75 actual goals, outperforming their xG by +12.2.

Who has the best defence?

Inter have the tightest defence by xGA, conceding just 27.9 expected goals (0.87/90). Their actual goals conceded stands at 29.

Biggest overperformer

Inter are the biggest overperformers in Serie A, scoring 75 goals from an xG of just 62.77 — a difference of +12.2. 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 44 from an xG of 57.03 (diff: -13). 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: 2026-04-14 22:05:59