#TeamPGxG/90+/-
1Inter72119.52.79+1.5
2Roma71615.122.16+0.9
3Napoli71012.971.85-3
4Como71212.741.82-0.7
5AC Milan71411.761.68+2.2
6Sassuolo71211.741.68+0.3
7Fiorentina7811.621.66-3.6
8Monza71311.351.62+1.7
9Venezia7611.211.6-5.2
10Frosinone71311.091.58+1.9
11Juventus7910.911.56-1.9
12Lazio7149.591.37+4.4
13Bologna769.531.36-3.5
14Lecce798.91.27+0.1
15Atalanta7107.761.11+2.2
16Udinese797.721.1+1.3
17Torino7107.721.1+2.3
18Cagliari767.291.04-1.3
19Genoa756.410.92-1.4
20Parma746.410.92-2.4
#TeamPGAxGA/90+/-
1Juventus784.140.59+3.9
2Roma737.341.05-4.3
3Inter797.711.1+1.3
4AC Milan777.791.11-0.8
5Bologna7108.41.2+1.6
6Genoa7139.121.3+3.9
7Lazio749.691.38-5.7
8Napoli7710.041.43-3
9Monza71510.161.45+4.8
10Fiorentina71710.451.49+6.6
11Sassuolo71410.731.53+3.3
12Como7710.941.56-3.9
13Parma71311.51.64+1.5
14Torino7911.821.69-2.8
15Cagliari7712.061.72-5.1
16Lecce71212.411.77-0.4
17Udinese71612.921.85+3.1
18Atalanta71113.951.99-3
19Frosinone7915.032.15-6
20Venezia71615.142.16+0.9
#TeamPPTSxPTS/90+/-
1Inter71915.812.26+3.2
2Juventus71114.52.07-3.5
3Roma71713.992+3
4Napoli71012.071.72-2.1
5AC Milan71511.871.7+3.1
6Como71410.861.55+3.1
7Fiorentina7410.681.53-6.7
8Bologna7510.351.48-5.4
9Monza7710.31.47-3.3
10Sassuolo7810.271.47-2.3
11Lazio7199.681.38+9.3
12Venezia737.771.11-4.8
13Frosinone7137.611.09+5.4
14Lecce797.491.07+1.5
15Genoa747.421.06-3.4
16Cagliari7137.231.03+5.8
17Torino7107.171.02+2.8
18Udinese746.830.98-2.8
19Parma746.570.94-2.6
20Atalanta796.20.89+2.8
#TeamPxGxGAxGD/90
1Inter719.57.7111.791.68
2Roma715.127.347.781.11
3Juventus710.914.146.770.97
4AC Milan711.767.793.970.57
5Napoli712.9710.042.930.42
6Como712.7410.941.80.26
7Monza711.3510.161.190.17
8Fiorentina711.6210.451.170.17
9Bologna79.538.41.130.16
10Sassuolo711.7410.731.010.14
11Lazio79.599.69-0.1-0.01
12Genoa76.419.12-2.71-0.39
13Lecce78.912.41-3.51-0.5
14Venezia711.2115.14-3.93-0.56
15Frosinone711.0915.03-3.94-0.56
16Torino77.7211.82-4.1-0.59
17Cagliari77.2912.06-4.77-0.68
18Parma76.4111.5-5.09-0.73
19Udinese77.7212.92-5.2-0.74
20Atalanta77.7613.95-6.19-0.88
#TeamPGnpxGxG/90
1Inter72118.7119.52.79
2Roma71615.1215.122.16
3Como71212.7412.741.82
4Sassuolo71211.7411.741.68
5Fiorentina7811.6211.621.66
6Napoli71011.3912.971.85
7Frosinone71311.0911.091.58
8Juventus7910.9110.911.56
9Monza71310.5611.351.62
10Venezia7610.4211.211.6
11AC Milan71410.1811.761.68
12Bologna769.539.531.36
13Lecce798.98.91.27
14Lazio7148.89.591.37
15Atalanta7107.767.761.11
16Udinese797.727.721.1
17Torino7107.727.721.1
18Cagliari766.57.291.04
19Parma746.416.410.92
20Genoa755.626.410.92
#TeamPGxGoTxG/90
1Inter72119.2319.52.79
2Roma71616.315.122.16
3Monza71314.5911.351.62
4Como71214.4412.741.82
5Frosinone71313.9911.091.58
6Sassuolo71212.9111.741.68
7Napoli71011.4912.971.85
8AC Milan71411.1511.761.68
9Juventus7911.0310.911.56
10Lazio71411.039.591.37
11Lecce7910.678.91.27
12Fiorentina789.211.621.66
13Venezia769.0811.211.6
14Torino7108.947.721.1
15Cagliari767.437.291.04
16Bologna767.429.531.36
17Atalanta7107.287.761.11
18Udinese796.747.721.1
19Parma745.666.410.92
20Genoa754.386.410.92
Upcoming Fixtures (Next 14 Days)
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Showing home xG for home teams, away xG for away teams Showing overall xG for all teams

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Recent Results with xG
xG
Mon, Oct 19
xG
2.03
Parma
0 - 3
Torino
1.28
1.29
Monza
4 - 0
Cagliari
2.09
xG
Sun, Oct 18
xG
1.2
Juventus
0 - 3
Lazio
0.53
2.72
AC Milan
3 - 2
Atalanta
1.11
1.92
Fiorentina
1 - 3
Como
1.81
0.43
Udinese
0 - 3
Lecce
2.57
xG
Sat, Oct 17
xG
1.66
Roma
2 - 0
Genoa
0.61
0.99
Bologna
1 - 3
Inter
2.82
0.92
Venezia
1 - 0
Napoli
2.4
xG
Fri, Oct 16
xG
2.16
Frosinone
4 - 2
Sassuolo
1.53
xG
Mon, Oct 12
xG
1.72
Torino
2 - 1
Udinese
0.76
1.95
Atalanta
3 - 1
Venezia
2.44
xG
Sun, Oct 11
xG
0.57
Cagliari
1 - 1
Juventus
2.01
1.24
Sassuolo
1 - 1
AC Milan
1.31
1.74
Lazio
3 - 1
Monza
1.32
1.21
Lecce
1 - 2
Bologna
1.84
1.46
Como
0 - 0
Roma
0.78
xG
Sat, Oct 10
xG
3.36
Napoli
3 - 0
Frosinone
1.04
2.66
Inter
3 - 0
Parma
0.4
1.01
Genoa
2 - 1
Fiorentina
1.18
xG
Sun, Sep 20
xG
1.43
AC Milan
3 - 0
Lecce
0.22
1.36
Juventus
2 - 0
Atalanta
0.96
0.5
Parma
2 - 1
Genoa
0.44
2.41
Frosinone
2 - 0
Como
1.94
1.5
Fiorentina
1 - 1
Napoli
1.43
xG
Sat, Sep 19
xG
1.9
Venezia
0 - 2
Lazio
1.92
1.84
Roma
2 - 2
Inter
2.29
2.04
Udinese
0 - 1
Cagliari
0.47
0.86
Bologna
1 - 1
Torino
0.86
xG
Fri, Sep 18
xG
1.57
Monza
2 - 1
Sassuolo
1.79
xG
Mon, Sep 14
xG
2.83
Inter
5 - 3
Udinese
0.76
0.78
Torino
0 - 2
Roma
2.07
2.66
Como
2 - 1
Parma
1.49
xG
Sun, Sep 13
xG
0.92
Sassuolo
3 - 2
Juventus
1.12
1.92
Napoli
1 - 0
Bologna
0.27
1.16
Lecce
3 - 2
Monza
3.03
xG
Sat, Sep 12
xG
1.59
Atalanta
1 - 2
Cagliari
1.12
1.83
Lazio
2 - 2
AC Milan
1.44
1.85
Genoa
1 - 1
Frosinone
1.88
xG
Fri, Sep 11
xG
0.64
Venezia
2 - 4
Fiorentina
2.99
xG
Mon, Sep 7
xG
0.87
Udinese
1 - 2
Lazio
1.87
1.14
Cagliari
1 - 0
Lecce
0.76
xG
Sun, Sep 6
xG
1.24
Juventus
1 - 1
AC Milan
0.11
2.31
Bologna
2 - 2
Sassuolo
1.49
1
Parma
1 - 1
Monza
1.37
1.27
Frosinone
3 - 2
Venezia
2.25
xG
Sat, Sep 5
xG
3.31
Roma
2 - 1
Atalanta
0.88
4.19
Inter
3 - 2
Napoli
2
1.41
Fiorentina
1 - 2
Torino
0.84
xG
Fri, Sep 4
xG
1.03
Genoa
1 - 4
Como
1.98

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Serie A xG Table 2026/27

The Serie A xG table for 2026/27 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 19.5 expected goals from 7 games (2.79/90). They have scored 21 actual goals, outperforming their xG by +1.5.

Who has the best defence?

Juventus have the tightest defence by xGA, conceding just 4.14 expected goals (0.59/90). Their actual goals conceded stands at 8.

Biggest overperformer

Lazio are the biggest overperformers in Serie A, scoring 14 goals from an xG of just 9.59 — a difference of +4.4. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Venezia are the most wasteful in front of goal, scoring 6 from an xG of 11.21 (diff: -5.2). 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: 2026-10-23 02:55:56