09.05.2021 - 00:30
Stadium : Estadio Monumental David Arellano (Santiago de Chile)
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Curicó Unido | 32 | 18 | 56% |
2 | Antofagasta | 32 | 18 | 56% |
3 | Santiago Wanderers | 32 | 16 | 50% |
4 | Audax Italiano | 32 | 15 | 47% |
5 | Everton | 32 | 12 | 38% |
6 | Colo-Colo | 32 | 12 | 38% |
7 | Universidad Chile | 32 | 17 | 53% |
8 | Unión Española | 32 | 21 | 66% |
9 | O'Higgins | 32 | 15 | 47% |
10 | Palestino | 32 | 22 | 69% |
11 | Universidad Católica | 32 | 16 | 50% |
12 | Huachipato | 32 | 15 | 47% |
13 | Cobresal | 32 | 19 | 59% |
14 | Unión La Calera | 32 | 18 | 56% |
15 | Ñublense | 32 | 17 | 53% |
16 | La Serena | 32 | 15 | 47% |
17 | Melipilla | 32 | 18 | 56% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Curicó Unido | 16 | 10 | 63% |
2 | Antofagasta | 16 | 10 | 63% |
3 | Santiago Wanderers | 16 | 10 | 63% |
4 | Audax Italiano | 16 | 6 | 38% |
5 | Everton | 16 | 5 | 31% |
6 | Colo-Colo | 16 | 4 | 25% |
7 | Universidad Chile | 16 | 9 | 56% |
8 | Unión Española | 16 | 13 | 81% |
9 | O'Higgins | 16 | 8 | 50% |
10 | Palestino | 16 | 10 | 63% |
11 | Universidad Católica | 16 | 8 | 50% |
12 | Huachipato | 16 | 6 | 38% |
13 | Cobresal | 16 | 10 | 63% |
14 | Unión La Calera | 16 | 8 | 50% |
15 | Ñublense | 16 | 7 | 44% |
16 | La Serena | 16 | 7 | 44% |
17 | Melipilla | 16 | 11 | 69% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Curicó Unido | 16 | 8 | 50% |
2 | Antofagasta | 16 | 8 | 50% |
3 | Santiago Wanderers | 16 | 6 | 38% |
4 | Audax Italiano | 16 | 9 | 56% |
5 | Everton | 16 | 7 | 44% |
6 | Colo-Colo | 16 | 8 | 50% |
7 | Universidad Chile | 16 | 8 | 50% |
8 | Unión Española | 16 | 8 | 50% |
9 | O'Higgins | 16 | 7 | 44% |
10 | Palestino | 16 | 12 | 75% |
11 | Universidad Católica | 16 | 8 | 50% |
12 | Huachipato | 16 | 9 | 56% |
13 | Cobresal | 16 | 9 | 56% |
14 | Unión La Calera | 16 | 10 | 63% |
15 | Ñublense | 16 | 10 | 63% |
16 | La Serena | 16 | 8 | 50% |
17 | Melipilla | 16 | 7 | 44% |
This section shows the statistics on how many times Colo-Colo and Palestino 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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