xG (Expected Goals)

P
G
xG
/90
#1 Inter
22
53
51.32
2.33
#2 Milan
23
47
41.01
1.78
#3 Roma
23
40
40.40
1.76
#4 Atalanta
22
44
39.43
1.79
#5 Napoli
23
43
39.09
1.70
#6 Juventus
23
34
38.90
1.69
#7 Fiorentina
22
41
35.89
1.63
#8 Hellas Verona
23
43
34.95
1.52
#9 Sassuolo
23
39
34.92
1.52
#10 Torino
22
30
33.14
1.51
#11 Lazio
23
46
31.60
1.37
#12 Empoli
23
37
30.05
1.31
#13 Cagliari
23
22
25.87
1.12
#14 Udinese
22
31
25.63
1.22
#15 Bologna
22
29
25.34
1.15
#16 Sampdoria
23
29
24.29
1.06
#17 Spezia
23
24
23.85
1.04
#18 Genoa
23
20
21.04
0.91
#19 Venezia
22
20
19.98
0.91
#20 Salernitana
22
14
17.95
0.85

xGA (Expected Goals Against)

P
GA
xGA
/90
#1 Napoli
23
16
16.46
0.72
#2 Inter
22
17
20.66
0.94
#3 Torino
22
21
21.03
0.96
#4 Juventus
23
21
22.79
0.99
#5 Atalanta
22
26
23.91
1.09
#6 Milan
23
25
25.17
1.09
#7 Fiorentina
22
30
26.78
1.22
#8 Roma
23
30
28.81
1.25
#9 Hellas Verona
23
38
29.22
1.27
#10 Udinese
22
36
30.72
1.46
#11 Lazio
23
39
31.45
1.37
#12 Bologna
22
37
31.56
1.43
#13 Sampdoria
23
41
35.41
1.54
#14 Sassuolo
23
38
37.56
1.63
#15 Spezia
23
42
40.26
1.75
#16 Venezia
22
40
40.32
1.83
#17 Genoa
23
45
40.41
1.76
#18 Cagliari
23
44
42.24
1.84
#19 Salernitana
22
53
43.70
2.08
#20 Empoli
23
47
46.18
2.01

xPTS (Expected Points)

P
PTS
xPTS
/90
#1 Inter
22
53
48.72
2.21
#2 Napoli
23
49
46.70
2.03
#3 Juventus
23
42
42.29
1.84
#4 Atalanta
22
43
39.13
1.78
#5 Milan
23
49
40.77
1.77
#6 Roma
23
38
40.37
1.76
#7 Torino
22
32
36.99
1.68
#8 Fiorentina
22
36
34.38
1.56
#9 Hellas Verona
23
33
33.91
1.47
#10 Lazio
23
36
33.66
1.46
#11 Sassuolo
23
29
30.16
1.31
#12 Udinese
22
24
25.87
1.23
#13 Bologna
22
27
26.62
1.21
#14 Sampdoria
23
20
24.70
1.07
#15 Cagliari
23
17
23.08
1.00
#16 Spezia
23
25
22.24
0.97
#17 Empoli
23
29
22.19
0.96
#18 Genoa
23
13
20.15
0.88
#19 Venezia
22
18
18.32
0.83
#20 Salernitana
22
11
13.80
0.66
Upcoming Fixtures

Expected Goals for Betting

This page brings you detailed and reliable Serie A xG data. xG (Expected Goals) is a powerful metric for realising the probability that a shot will end up in the back of the net. You can view the meaning of xG on OddAlerts Insights. Analysing this data across a fixture, or season, can give you a true indication of team performance.

For example, if a team has recorded xG of 7.19 across their opening 4 fixtures but has scored just 2 goals, then this tells us that they are underperforming and should have scored more. We base this on the hundreds of thousands of shots that have been analysed.

For an introduction into xG, I would personally recommend this book by James Tippett. It was sent to me by a fellow OddAlerts user and just a couple of weeks later, I understood how important xG can be and this very page was built. This is just the start for xG and OddAlerts. Stay tuned on Telegram or Twitter for updates.