# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Rio Branco-AC |
10 | 4 | 40% |
2 |
![]() Atlético Acreano |
5 | 2 | 40% |
3 |
![]() Plácido de Castro |
5 | 3 | 60% |
4 |
![]() Galvez |
9 | 4 | 44% |
5 |
![]() ADESG |
10 | 5 | 50% |
6 |
![]() Independência |
4 | 1 | 25% |
7 |
![]() Náuas Esporte Clube |
10 | 3 | 30% |
8 |
![]() São Francisco |
9 | 4 | 44% |
9 |
![]() Humaitá |
9 | 5 | 56% |
10 |
![]() Vasco da Gama AC |
5 | 3 | 60% |
11 |
![]() Andirá |
4 | 2 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Rio Branco-AC |
6 | 3 | 50% |
2 |
![]() Atlético Acreano |
3 | 1 | 33% |
3 |
![]() Plácido de Castro |
2 | 1 | 50% |
4 |
![]() Galvez |
4 | 2 | 50% |
5 |
![]() ADESG |
5 | 2 | 40% |
6 |
![]() Independência |
2 | 0 | 0% |
7 |
![]() Náuas Esporte Clube |
5 | 2 | 40% |
8 |
![]() São Francisco |
4 | 2 | 50% |
9 |
![]() Humaitá |
5 | 3 | 60% |
10 |
![]() Vasco da Gama AC |
2 | 1 | 50% |
11 |
![]() Andirá |
2 | 1 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Rio Branco-AC |
4 | 1 | 25% |
2 |
![]() Atlético Acreano |
2 | 1 | 50% |
3 |
![]() Plácido de Castro |
3 | 2 | 67% |
4 |
![]() Galvez |
5 | 2 | 40% |
5 |
![]() ADESG |
5 | 3 | 60% |
6 |
![]() Independência |
2 | 1 | 50% |
7 |
![]() Náuas Esporte Clube |
5 | 1 | 20% |
8 |
![]() São Francisco |
5 | 2 | 40% |
9 |
![]() Humaitá |
4 | 2 | 50% |
10 |
![]() Vasco da Gama AC |
3 | 2 | 67% |
11 |
![]() Andirá |
2 | 1 | 50% |
This section shows the statistics on how many times Rio Branco-AC and ADESG have both scored and conceded in the same match in the Acreano.
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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