19.01.2020 - 13:30
Stadium : Stadio Biagio Pirina
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Latina | 26 | 16 | 62% |
2 | Arzachena | 26 | 15 | 58% |
3 | Sassari Torres | 26 | 15 | 58% |
4 | Trastevere | 26 | 18 | 69% |
5 | Turris Neapolis | 26 | 15 | 58% |
6 | Lanusei | 26 | 13 | 50% |
7 | Ladispoli | 26 | 13 | 50% |
8 | Aprilia | 26 | 14 | 54% |
9 | Team Nuova Florida | 26 | 10 | 38% |
10 | Cassino | 26 | 13 | 50% |
11 | Portici | 26 | 15 | 58% |
12 | Ostia Mare Lidocalcio | 26 | 13 | 50% |
13 | Budoni | 26 | 12 | 46% |
14 | Pro Calcio Tor Sapienza | 26 | 13 | 50% |
15 | Città di Anagni | 26 | 15 | 58% |
16 | Latte Dolce | 26 | 13 | 50% |
17 | Vis Artena | 26 | 16 | 62% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Latina | 13 | 7 | 54% |
2 | Arzachena | 14 | 8 | 57% |
3 | Sassari Torres | 14 | 9 | 64% |
4 | Trastevere | 13 | 10 | 77% |
5 | Turris Neapolis | 13 | 9 | 69% |
6 | Lanusei | 12 | 6 | 50% |
7 | Ladispoli | 13 | 8 | 62% |
8 | Aprilia | 13 | 7 | 54% |
9 | Team Nuova Florida | 14 | 6 | 43% |
10 | Cassino | 13 | 6 | 46% |
11 | Portici | 13 | 9 | 69% |
12 | Ostia Mare Lidocalcio | 12 | 5 | 42% |
13 | Budoni | 13 | 5 | 38% |
14 | Pro Calcio Tor Sapienza | 13 | 6 | 46% |
15 | Città di Anagni | 13 | 8 | 62% |
16 | Latte Dolce | 12 | 4 | 33% |
17 | Vis Artena | 13 | 7 | 54% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Latina | 13 | 9 | 69% |
2 | Arzachena | 12 | 7 | 58% |
3 | Sassari Torres | 12 | 6 | 50% |
4 | Trastevere | 13 | 8 | 62% |
5 | Turris Neapolis | 13 | 6 | 46% |
6 | Lanusei | 14 | 7 | 50% |
7 | Ladispoli | 13 | 5 | 38% |
8 | Aprilia | 13 | 7 | 54% |
9 | Team Nuova Florida | 12 | 4 | 33% |
10 | Cassino | 13 | 7 | 54% |
11 | Portici | 13 | 6 | 46% |
12 | Ostia Mare Lidocalcio | 14 | 8 | 57% |
13 | Budoni | 13 | 7 | 54% |
14 | Pro Calcio Tor Sapienza | 13 | 7 | 54% |
15 | Città di Anagni | 13 | 7 | 54% |
16 | Latte Dolce | 14 | 9 | 64% |
17 | Vis Artena | 13 | 9 | 69% |
This section shows the statistics on how many times Arzachena and Ostia Mare Lidocalcio have both scored and conceded in the same match in the Serie D Group G.
The “Both Teams to Score” stat is a good data point to use for seeing whether or not a match will feature many (or any) goals. If both teams have a high rate of both scoring and conceding goals, then there is a good chance that a couple of goals will go in. But if one or both teams have low BTTS rates, then their match could be a lower-scoring affair.
Check out the BTTS (both teams to score) stats for the match:
It’s important to consider BTTS statistics when analysing teams as they provide insight into the teams’ overall approach and performance in matches. Teams with a high percentage of both teams scoring usually have more attacking approaches, whilst a lower rate of both teams scoring could point to a slightly more conservative gameplan for the most part.
And of course, this information should prove quite valuable when picking bets on the “Both Teams to Score” market and other goal-related markets
Switch to
Would you like to change to ?
Login or Signup to add to favourites
You can login with social media
Not registered yet? Create an Account.