06.02.2022 - 23:30
Stadium : Estadio Monumental David Arellano (Santiago de Chile)
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Curicó Unido | 30 | 16 | 53% |
2 | Antofagasta | 30 | 10 | 33% |
3 | Audax Italiano | 30 | 19 | 63% |
4 | Everton | 30 | 16 | 53% |
5 | Colo-Colo | 30 | 14 | 47% |
6 | Universidad Chile | 30 | 18 | 60% |
7 | Unión Española | 30 | 18 | 60% |
8 | O'Higgins | 30 | 12 | 40% |
9 | Palestino | 30 | 14 | 47% |
10 | Universidad Católica | 30 | 13 | 43% |
11 | Huachipato | 30 | 13 | 43% |
12 | Cobresal | 30 | 16 | 53% |
13 | Unión La Calera | 30 | 15 | 50% |
14 | Ñublense | 30 | 19 | 63% |
15 | La Serena | 30 | 14 | 47% |
16 | Coquimbo Unido | 30 | 17 | 57% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Curicó Unido | 15 | 5 | 33% |
2 | Antofagasta | 15 | 5 | 33% |
3 | Audax Italiano | 15 | 9 | 60% |
4 | Everton | 15 | 7 | 47% |
5 | Colo-Colo | 15 | 4 | 27% |
6 | Universidad Chile | 15 | 8 | 53% |
7 | Unión Española | 15 | 10 | 67% |
8 | O'Higgins | 15 | 8 | 53% |
9 | Palestino | 15 | 8 | 53% |
10 | Universidad Católica | 15 | 5 | 33% |
11 | Huachipato | 15 | 9 | 60% |
12 | Cobresal | 15 | 7 | 47% |
13 | Unión La Calera | 15 | 8 | 53% |
14 | Ñublense | 15 | 11 | 73% |
15 | La Serena | 15 | 9 | 60% |
16 | Coquimbo Unido | 15 | 9 | 60% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Curicó Unido | 15 | 11 | 73% |
2 | Antofagasta | 15 | 5 | 33% |
3 | Audax Italiano | 15 | 10 | 67% |
4 | Everton | 15 | 9 | 60% |
5 | Colo-Colo | 15 | 10 | 67% |
6 | Universidad Chile | 15 | 10 | 67% |
7 | Unión Española | 15 | 8 | 53% |
8 | O'Higgins | 15 | 4 | 27% |
9 | Palestino | 15 | 6 | 40% |
10 | Universidad Católica | 15 | 8 | 53% |
11 | Huachipato | 15 | 4 | 27% |
12 | Cobresal | 15 | 9 | 60% |
13 | Unión La Calera | 15 | 7 | 47% |
14 | Ñublense | 15 | 8 | 53% |
15 | La Serena | 15 | 5 | 33% |
16 | Coquimbo Unido | 15 | 8 | 53% |
This section shows the statistics on how many times Colo-Colo and Everton have both scored and conceded in the same match in the Primera División.
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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