| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Reggina |
34 | 15 | 44% |
| 2 |
Akragas |
27 | 7 | 26% |
| 3 |
Siracusa |
33 | 11 | 33% |
| 4 |
Vibonese |
33 | 12 | 36% |
| 5 |
Acireale |
34 | 20 | 59% |
| 6 |
Licata |
33 | 16 | 48% |
| 7 |
Igea Virtus |
34 | 15 | 44% |
| 8 |
Sancataldese |
34 | 14 | 41% |
| 9 |
Locri 1909 |
34 | 19 | 56% |
| 10 |
Città Di Sant’Agata |
34 | 25 | 74% |
| 11 |
Paternò |
33 | 12 | 36% |
| 12 |
Ragusa |
34 | 18 | 53% |
| 13 |
Scafatese |
34 | 16 | 47% |
| 14 |
Pompei |
34 | 13 | 38% |
| 15 |
Sambiase |
33 | 16 | 48% |
| 16 |
Nissa |
33 | 22 | 67% |
| 17 |
Enna |
33 | 10 | 30% |
| 18 |
CastrumFavara |
34 | 17 | 50% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Reggina |
17 | 9 | 53% |
| 2 |
Akragas |
14 | 4 | 29% |
| 3 |
Siracusa |
17 | 5 | 29% |
| 4 |
Vibonese |
16 | 6 | 38% |
| 5 |
Acireale |
17 | 9 | 53% |
| 6 |
Licata |
17 | 8 | 47% |
| 7 |
Igea Virtus |
17 | 6 | 35% |
| 8 |
Sancataldese |
17 | 8 | 47% |
| 9 |
Locri 1909 |
17 | 8 | 47% |
| 10 |
Città Di Sant’Agata |
17 | 14 | 82% |
| 11 |
Paternò |
16 | 4 | 25% |
| 12 |
Ragusa |
17 | 8 | 47% |
| 13 |
Scafatese |
17 | 8 | 47% |
| 14 |
Pompei |
17 | 8 | 47% |
| 15 |
Sambiase |
16 | 7 | 44% |
| 16 |
Nissa |
17 | 10 | 59% |
| 17 |
Enna |
16 | 8 | 50% |
| 18 |
CastrumFavara |
17 | 9 | 53% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Reggina |
17 | 6 | 35% |
| 2 |
Akragas |
13 | 3 | 23% |
| 3 |
Siracusa |
16 | 6 | 38% |
| 4 |
Vibonese |
17 | 6 | 35% |
| 5 |
Acireale |
17 | 11 | 65% |
| 6 |
Licata |
16 | 8 | 50% |
| 7 |
Igea Virtus |
17 | 9 | 53% |
| 8 |
Sancataldese |
17 | 6 | 35% |
| 9 |
Locri 1909 |
17 | 11 | 65% |
| 10 |
Città Di Sant’Agata |
17 | 11 | 65% |
| 11 |
Paternò |
17 | 8 | 47% |
| 12 |
Ragusa |
17 | 10 | 59% |
| 13 |
Scafatese |
17 | 8 | 47% |
| 14 |
Pompei |
17 | 5 | 29% |
| 15 |
Sambiase |
17 | 9 | 53% |
| 16 |
Nissa |
16 | 12 | 75% |
| 17 |
Enna |
17 | 2 | 12% |
| 18 |
CastrumFavara |
17 | 8 | 47% |
This section shows the statistics on how many times Siracusa and Licata have both scored and conceded in the same match in the Serie D Group I.
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.