29.05.2021 - 19:00
Stadium : Estadio Jocay (Manta)
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | LDU Quito | 30 | 21 | 70% |
2 | Guayaquil City FC | 30 | 12 | 40% |
3 | CSD Independiente del Valle | 32 | 16 | 50% |
4 | Barcelona | 30 | 14 | 47% |
5 | Macará | 30 | 19 | 63% |
6 | Delfin SC | 30 | 21 | 70% |
7 | Deportivo Cuenca | 30 | 17 | 57% |
8 | CS Emelec | 32 | 18 | 56% |
9 | CD Universidad Católica | 30 | 18 | 60% |
10 | Mushuc Runa SC | 30 | 14 | 47% |
11 | SD Aucas | 30 | 19 | 63% |
12 | Manta FC | 30 | 14 | 47% |
13 | CD Olmedo | 30 | 12 | 40% |
14 | Técnico Universitario | 30 | 10 | 33% |
15 | Orense SC | 30 | 13 | 43% |
16 | 9 de Octubre | 30 | 18 | 60% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | LDU Quito | 15 | 10 | 67% |
2 | Guayaquil City FC | 15 | 7 | 47% |
3 | CSD Independiente del Valle | 16 | 8 | 50% |
4 | Barcelona | 15 | 7 | 47% |
5 | Macará | 15 | 11 | 73% |
6 | Delfin SC | 15 | 11 | 73% |
7 | Deportivo Cuenca | 15 | 7 | 47% |
8 | CS Emelec | 16 | 6 | 38% |
9 | CD Universidad Católica | 15 | 9 | 60% |
10 | Mushuc Runa SC | 15 | 8 | 53% |
11 | SD Aucas | 15 | 8 | 53% |
12 | Manta FC | 15 | 8 | 53% |
13 | CD Olmedo | 15 | 8 | 53% |
14 | Técnico Universitario | 15 | 6 | 40% |
15 | Orense SC | 15 | 7 | 47% |
16 | 9 de Octubre | 15 | 7 | 47% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | LDU Quito | 15 | 11 | 73% |
2 | Guayaquil City FC | 15 | 5 | 33% |
3 | CSD Independiente del Valle | 16 | 8 | 50% |
4 | Barcelona | 15 | 7 | 47% |
5 | Macará | 15 | 8 | 53% |
6 | Delfin SC | 15 | 10 | 67% |
7 | Deportivo Cuenca | 15 | 10 | 67% |
8 | CS Emelec | 16 | 12 | 75% |
9 | CD Universidad Católica | 15 | 9 | 60% |
10 | Mushuc Runa SC | 15 | 6 | 40% |
11 | SD Aucas | 15 | 11 | 73% |
12 | Manta FC | 15 | 6 | 40% |
13 | CD Olmedo | 15 | 4 | 27% |
14 | Técnico Universitario | 15 | 4 | 27% |
15 | Orense SC | 15 | 6 | 40% |
16 | 9 de Octubre | 15 | 11 | 73% |
This section shows the statistics on how many times Delfin SC and 9 de Octubre have both scored and conceded in the same match in the Primera Categoria Serie A.
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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