# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Loures |
21 | 8 | 38% |
2 |
![]() Sacavenense |
21 | 8 | 38% |
3 |
![]() Fátima |
6 | 1 | 17% |
4 |
![]() Sintrense |
20 | 9 | 45% |
5 |
![]() Torreense |
21 | 7 | 33% |
6 |
![]() Caldas |
21 | 10 | 48% |
7 |
![]() Pêro Pinheiro |
20 | 3 | 15% |
8 |
![]() 1 Dezembro |
20 | 9 | 45% |
9 |
![]() Lourinhanense |
20 | 11 | 55% |
10 |
![]() Alverca |
21 | 6 | 29% |
11 |
![]() União Santarém |
20 | 10 | 50% |
12 |
![]() União Almeirim |
21 | 8 | 38% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Loures |
11 | 3 | 27% |
2 |
![]() Sacavenense |
11 | 4 | 36% |
3 |
![]() Fátima |
3 | 0 | 0% |
4 |
![]() Sintrense |
10 | 6 | 60% |
5 |
![]() Torreense |
10 | 3 | 30% |
6 |
![]() Caldas |
11 | 6 | 55% |
7 |
![]() Pêro Pinheiro |
10 | 3 | 30% |
8 |
![]() 1 Dezembro |
10 | 2 | 20% |
9 |
![]() Lourinhanense |
10 | 6 | 60% |
10 |
![]() Alverca |
10 | 1 | 10% |
11 |
![]() União Santarém |
10 | 6 | 60% |
12 |
![]() União Almeirim |
10 | 5 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Loures |
10 | 5 | 50% |
2 |
![]() Sacavenense |
10 | 4 | 40% |
3 |
![]() Fátima |
3 | 1 | 33% |
4 |
![]() Sintrense |
10 | 3 | 30% |
5 |
![]() Torreense |
11 | 4 | 36% |
6 |
![]() Caldas |
10 | 4 | 40% |
7 |
![]() Pêro Pinheiro |
10 | 0 | 0% |
8 |
![]() 1 Dezembro |
10 | 7 | 70% |
9 |
![]() Lourinhanense |
10 | 5 | 50% |
10 |
![]() Alverca |
11 | 5 | 45% |
11 |
![]() União Santarém |
10 | 4 | 40% |
12 |
![]() União Almeirim |
11 | 3 | 27% |
This section shows the statistics on how many times Sintrense and 1 Dezembro have both scored and conceded in the same match in the Campeonato de Portugal Group F.
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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