#TeamPGxG/90+/-
1Inter276457.622.13+6.4
2Juventus274651.121.89-5.1
3Atalanta273749.641.84-12.6
4Como274447.771.77-3.8
5AC Milan274347.081.74-4.1
6Roma273743.651.62-6.7
7Napoli274142.81.59-1.8
8Fiorentina273041.871.55-11.9
9Bologna2736391.44-3
10Genoa273235.821.33-3.8
11Sassuolo273433.741.25+0.3
12Torino272732.31.2-5.3
13Lazio272632.291.2-6.3
14Udinese273131.541.17-0.5
15Pisa272030.061.11-10.1
16Cremonese272129.951.11-9
17Hellas Verona272028.491.06-8.5
18Parma272027.691.03-7.7
19Cagliari272926.840.99+2.2
20Lecce271823.160.86-5.2
#TeamPGAxGA/90+/-
1Inter272121.890.81-0.9
2Roma271927.091-8.1
3Como272027.711.03-7.7
4Juventus272831.321.16-3.3
5Napoli272832.411.2-4.4
6Bologna273232.791.21-0.8
7AC Milan272033.051.22-13.1
8Atalanta272433.981.26-10
9Hellas Verona274836.81.36+11.2
10Sassuolo273639.731.47-3.7
11Udinese273940.011.48-1
12Fiorentina274240.051.48+2
13Cagliari273640.741.51-4.7
14Lazio272740.871.51-13.9
15Torino274742.891.59+4.1
16Pisa274443.111.6+0.9
17Lecce273643.761.62-7.8
18Parma273245.541.69-13.5
19Genoa273945.771.7-6.8
20Cremonese273852.921.96-14.9
#TeamPPTSxPTS/90+/-
1Inter276757.732.14+9.3
2Como274848.191.78-0.2
3Juventus274747.71.77-0.7
4Atalanta274547.331.75-2.3
5Roma275146.871.74+4.1
6AC Milan275745.971.7+11
7Napoli275343.171.6+9.8
8Bologna273940.671.51-1.7
9Fiorentina272438.461.42-14.5
10Sassuolo273833.161.23+4.8
11Udinese273532.721.21+2.3
12Hellas Verona271531.891.18-16.9
13Torino273031.781.18-1.8
14Lazio273431.71.17+2.3
15Genoa272731.441.16-4.4
16Pisa271531.011.15-16
17Cagliari273028.741.06+1.3
18Parma273328.481.05+4.5
19Lecce272425.860.96-1.9
20Cremonese272424.360.9-0.4
#TeamPxGxGAxGD/90
1Inter2757.6221.8935.731.32
2Como2747.7727.7120.060.74
3Juventus2751.1231.3219.80.73
4Roma2743.6527.0916.560.61
5Atalanta2749.6433.9815.660.58
6AC Milan2747.0833.0514.030.52
7Napoli2742.832.4110.390.38
8Bologna273932.796.210.23
9Fiorentina2741.8740.051.820.07
10Sassuolo2733.7439.73-5.99-0.22
11Hellas Verona2728.4936.8-8.31-0.31
12Udinese2731.5440.01-8.47-0.31
13Lazio2732.2940.87-8.58-0.32
14Genoa2735.8245.77-9.95-0.37
15Torino2732.342.89-10.59-0.39
16Pisa2730.0643.11-13.05-0.48
17Cagliari2726.8440.74-13.9-0.51
18Parma2727.6945.54-17.85-0.66
19Lecce2723.1643.76-20.6-0.76
20Cremonese2729.9552.92-22.97-0.85
#TeamPGnpxGxG/90
1Inter276452.8857.622.13
2Juventus274647.1751.121.89
3Atalanta273746.4849.641.84
4Como274443.0347.771.77
5AC Milan274341.5547.081.74
6Roma273739.743.651.62
7Napoli274139.6442.81.59
8Fiorentina273036.3441.871.55
9Bologna273634.26391.44
10Genoa273231.0835.821.33
11Sassuolo273429.7933.741.25
12Lazio272629.1332.291.2
13Cremonese272128.3729.951.11
14Torino272728.3532.31.2
15Udinese273127.5931.541.17
16Parma272026.1127.691.03
17Cagliari272926.0526.840.99
18Hellas Verona272025.3328.491.06
19Pisa272025.3230.061.11
20Lecce271822.3723.160.86
#TeamPGxGoTxG/90
1Inter276460.4157.622.13
2Juventus274653.951.121.89
3Roma273746.6143.651.62
4Atalanta273744.6749.641.84
5Como274442.4547.771.77
6Napoli274141.8442.81.59
7AC Milan274341.1747.081.74
8Genoa273239.6535.821.33
9Bologna273638.61391.44
10Sassuolo273437.2833.741.25
11Torino272735.5332.31.2
12Fiorentina273034.0341.871.55
13Lazio272629.6632.291.2
14Cremonese272129.1929.951.11
15Udinese273128.2531.541.17
16Cagliari272926.326.840.99
17Hellas Verona272023.3428.491.06
18Pisa272023.1430.061.11
19Parma272021.5427.691.03
20Lecce271818.9123.160.86
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
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
xG
Mon, Feb 2
xG
0.32
Udinese
1 - 0
Roma
0.94
xG
Sun, Feb 1
xG
0.69
Parma
1 - 4
Juventus
4.41
0.61
Cremonese
0 - 2
Inter
1.58
4.56
Como
0 - 0
Atalanta
0.92
1.77
Torino
1 - 0
Lecce
0.75
xG
Sat, Jan 31
xG
1.53
Cagliari
4 - 0
Hellas Verona
0.5
2.76
Napoli
2 - 1
Fiorentina
1.12
1
Pisa
1 - 3
Sassuolo
2
xG
Fri, Jan 30
xG
2.2
Lazio
3 - 2
Genoa
1.79

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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 57.62 expected goals from 27 games (2.13/90). They have scored 64 actual goals, outperforming their xG by +6.4.

Who has the best defence?

Inter have the tightest defence by xGA, conceding just 21.89 expected goals (0.81/90). Their actual goals conceded stands at 21.

Biggest overperformer

Inter are the biggest overperformers in Serie A, scoring 64 goals from an xG of just 57.62 — a difference of +6.4. 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 37 from an xG of 49.64 (diff: -12.6). 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: 2026-03-03 17:36:42