# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ![]() Real Ariquemes | 12 | 4 | 33% |
2 | ![]() Gênus | 8 | 2 | 25% |
3 | ![]() Rondoniense | 7 | 1 | 14% |
4 | ![]() Barcelona RO | 8 | 4 | 50% |
5 | ![]() Ji-Paraná Futebol Clube | 12 | 5 | 42% |
6 | ![]() União Cacoalense | 12 | 3 | 25% |
7 | ![]() Porto Velho | 12 | 3 | 25% |
8 | ![]() Guajará | 7 | 1 | 14% |
9 | ![]() Guaporé | 9 | 4 | 44% |
10 | ![]() Vilhenense | 8 | 3 | 38% |
11 | ![]() Pimentense | 9 | 4 | 44% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ![]() Real Ariquemes | 6 | 2 | 33% |
2 | ![]() Gênus | 4 | 1 | 25% |
3 | ![]() Rondoniense | 4 | 0 | 0% |
4 | ![]() Barcelona RO | 4 | 1 | 25% |
5 | ![]() Ji-Paraná Futebol Clube | 6 | 2 | 33% |
6 | ![]() União Cacoalense | 6 | 1 | 17% |
7 | ![]() Porto Velho | 6 | 3 | 50% |
8 | ![]() Guajará | 3 | 0 | 0% |
9 | ![]() Guaporé | 5 | 3 | 60% |
10 | ![]() Vilhenense | 4 | 2 | 50% |
11 | ![]() Pimentense | 4 | 2 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ![]() Real Ariquemes | 6 | 2 | 33% |
2 | ![]() Gênus | 4 | 1 | 25% |
3 | ![]() Rondoniense | 3 | 1 | 33% |
4 | ![]() Barcelona RO | 4 | 3 | 75% |
5 | ![]() Ji-Paraná Futebol Clube | 6 | 3 | 50% |
6 | ![]() União Cacoalense | 6 | 2 | 33% |
7 | ![]() Porto Velho | 6 | 0 | 0% |
8 | ![]() Guajará | 4 | 1 | 25% |
9 | ![]() Guaporé | 4 | 1 | 25% |
10 | ![]() Vilhenense | 4 | 1 | 25% |
11 | ![]() Pimentense | 5 | 2 | 40% |
This section shows the statistics on how many times Ji-Paraná Futebol Clube and Pimentense have both scored and conceded in the same match in the Rondoniense.
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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