| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Reggina |
7 | 3 | 43% |
| 2 |
Vibonese |
7 | 4 | 57% |
| 3 |
Messina |
7 | 3 | 43% |
| 4 |
Vigor Lamezia |
7 | 1 | 14% |
| 5 |
Savoia |
7 | 4 | 57% |
| 6 |
Acireale |
7 | 5 | 71% |
| 7 |
Gela |
7 | 2 | 29% |
| 8 |
Gelbison |
7 | 3 | 43% |
| 9 |
Milazzo |
7 | 5 | 71% |
| 10 |
Igea Virtus |
7 | 6 | 86% |
| 11 |
Sancataldese |
7 | 4 | 57% |
| 12 |
Paternò |
7 | 2 | 29% |
| 13 |
Ragusa |
7 | 2 | 29% |
| 14 |
Sambiase |
7 | 4 | 57% |
| 15 |
Nissa |
7 | 4 | 57% |
| 16 |
Enna |
7 | 5 | 71% |
| 17 |
CastrumFavara |
7 | 3 | 43% |
| 18 |
Athletic Club Palermo |
7 | 6 | 86% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Reggina |
3 | 1 | 33% |
| 2 |
Vibonese |
4 | 2 | 50% |
| 3 |
Messina |
4 | 0 | 0% |
| 4 |
Vigor Lamezia |
4 | 0 | 0% |
| 5 |
Savoia |
4 | 2 | 50% |
| 6 |
Acireale |
4 | 4 | 100% |
| 7 |
Gela |
3 | 1 | 33% |
| 8 |
Gelbison |
3 | 2 | 67% |
| 9 |
Milazzo |
3 | 2 | 67% |
| 10 |
Igea Virtus |
4 | 3 | 75% |
| 11 |
Sancataldese |
4 | 2 | 50% |
| 12 |
Paternò |
3 | 0 | 0% |
| 13 |
Ragusa |
4 | 2 | 50% |
| 14 |
Sambiase |
3 | 2 | 67% |
| 15 |
Nissa |
3 | 3 | 100% |
| 16 |
Enna |
3 | 2 | 67% |
| 17 |
CastrumFavara |
3 | 1 | 33% |
| 18 |
Athletic Club Palermo |
4 | 4 | 100% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Reggina |
4 | 2 | 50% |
| 2 |
Vibonese |
3 | 2 | 67% |
| 3 |
Messina |
3 | 3 | 100% |
| 4 |
Vigor Lamezia |
3 | 1 | 33% |
| 5 |
Savoia |
3 | 2 | 67% |
| 6 |
Acireale |
3 | 1 | 33% |
| 7 |
Gela |
4 | 1 | 25% |
| 8 |
Gelbison |
4 | 1 | 25% |
| 9 |
Milazzo |
4 | 3 | 75% |
| 10 |
Igea Virtus |
3 | 3 | 100% |
| 11 |
Sancataldese |
3 | 2 | 67% |
| 12 |
Paternò |
4 | 2 | 50% |
| 13 |
Ragusa |
3 | 0 | 0% |
| 14 |
Sambiase |
4 | 2 | 50% |
| 15 |
Nissa |
4 | 1 | 25% |
| 16 |
Enna |
4 | 3 | 75% |
| 17 |
CastrumFavara |
4 | 2 | 50% |
| 18 |
Athletic Club Palermo |
3 | 2 | 67% |
This section shows the statistics on how many times Vibonese and CastrumFavara 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
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