Free football BTTS predictions and tips for Italy Serie A Women

11:3025.04
Como W
Parma W
No
11:3025.04
Juventus W
Roma W
Yes
11:3025.04
Lazio W
Sassuolo W
Yes
14:0025.04
AC Milan W
Napoli W
No
17:0025.04
Genoa W
Inter Milano W
Yes

Best and Worst Teams Wins

Italy
  • More Wins
Roma W
13
Inter Milano W
11
Juventus W
9
Napoli W
8
Lazio W
8
Italy
  • Less Wins
Genoa W
2
Parma W
2
Sassuolo W
3
Ternana W
3
Como W
7

Best and Worst Teams Draws

Italy
  • More Draws
Parma W
9
Napoli W
5
Juventus W
5
Fiorentina W
5
Ternana W
4
Italy
  • Less Draws
Genoa W
3
Lazio W
3
AC Milan W
4
Como W
4
Inter Milano W
4

Best and Worst Teams Losses

Italy
  • More Losses
Genoa W
13
Ternana W
11
Sassuolo W
11
Parma W
7
Lazio W
7
Italy
  • Less Losses
Roma W
1
Inter Milano W
3
Juventus W
4
Napoli W
5
AC Milan W
6

Best and Worst Attacking Teams

Italy
  • Best Attacking Teams
Inter Milano W
43
Roma W
36
AC Milan W
28
Napoli W
27
Lazio W
25
Italy
  • Worst Attacking Teams
Parma W
12
Sassuolo W
13
Genoa W
15
Ternana W
16
Como W
20

Best and Worst Defending Teams

Italy
  • Best Defending Teams
Juventus W
12
Inter Milano W
19
Roma W
19
Como W
20
Napoli W
21
Italy
  • Worst Defending Teams
Genoa W
36
Ternana W
34
Sassuolo W
30
Fiorentina W
25
Lazio W
24

Italy Serie A Women Last Results and Predictions

Italy Serie A Women Standings

# Name P W D L Goals Last 5 Pts
1
Roma W
18 13 4 1 36:19
WWDWD
43
2
Inter Milano W
18 11 4 3 43:19
WDWLW
37
3
Juventus W
18 9 5 4 24:12
WDLDD
32
4
Napoli W
18 8 5 5 27:21
WDLDD
29
5
AC Milan W
18 8 4 6 28:23
WDWDL
28
6
Lazio W
18 8 3 7 25:24
LLWDD
27
7
Fiorentina W
18 7 5 6 25:25
LDDWW
26
8
Como W
18 7 4 7 20:20
LDDWW
25
9
Parma W
18 2 9 7 12:21
WDDDL
15
10
Ternana W
18 3 4 11 16:34
LDDDW
13
11
Sassuolo W
18 3 4 11 13:30
LDLLL
13
12
Genoa W
18 2 3 13 15:36
LDDLL
9

When are the BTTS Italy Serie A Women Predictions available?

You can track down our BTTS or Both Teams to Score Serie A Women tips and predictions on this page, predictions are posted 4 days before any Serie A Women event. Using artificial intelligence on football predictions help users predict outcomes for BTTS or Both Teams to Score in a given event.

What is BTTS or Both Teams to Score Predictions?

In BTTS or Both Teams to Score teams in the game must score at least one goal each. It means that you decide whether or not both teams in a football match will score ot not. BTTS tips are plentiful, especially when you have stats on your side.
  • Top Countries
  • News and Articles
How odds move and what AI can learn from bookmakers

How odds move and what AI can learn from bookmakers

Learn why football odds move, what drives bookmaker price changes from opening to closing lines, and how AI models can use odds and line movement without leakage.

Flamengo win the Brazilian title after winning the Libertadores

Flamengo win the Brazilian title after winning the Libertadores

Flamengo crowned an historic season by clinching the Brazilian league title with a 1-0 win over Ceará, just four days after lifting their fourth Copa Libertadores.

Machine learning vs human intuition in match forecasting

Machine learning vs human intuition in match forecasting

Compare machine learning and human intuition in match forecasting, examining strengths, blind spots, and why a hybrid approach often delivers the most dependable predictions.

Using Football Predictions AI to Avoid Bad Bets, Not Chase Winners

Using Football Predictions AI to Avoid Bad Bets, Not Chase Winners

Use Football Predictions AI as a disciplined filter to avoid low-edge bets, manage risk, and make probability-based decisions instead of chasing winners.

If Alonso is not good enough for Real, then who is?

If Alonso is not good enough for Real, then who is?

Philipp Lahm has come to the defense of his former teammate Xabi Alonso. The Basque was dismissed earlier this year by Real Madrid, and Lahm sees the coaching job at Los Blancos as the ultimate challenge in world football.

Over and under goals: how AI predicts goal totals

Over and under goals: how AI predicts goal totals

Learn how AI predicts over and under goals by estimating expected goals, tempo, team styles, and variance, then converting them into calibrated probabilities for total goals markets.

Odd:1.38