19.09.2022 - 23:15
Stadium : Estadio Antonio Aranda (Ciudad del Este)
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | 3 de Febrero | 30 | 15 | 50% |
2 | Sportivo Luqueño | 30 | 14 | 47% |
3 | Deportivo Santaní | 30 | 9 | 30% |
4 | Independiente FBC | 30 | 14 | 47% |
5 | Sportivo Trinidense | 30 | 15 | 50% |
6 | Rubio Ñú | 30 | 12 | 40% |
7 | River Plate | 30 | 13 | 43% |
8 | Sportivo San Lorenzo | 30 | 13 | 43% |
9 | Fernando de la Mora | 30 | 14 | 47% |
10 | 2 de Mayo | 30 | 14 | 47% |
11 | Martín Ledesma | 30 | 11 | 37% |
12 | Sportivo Iteño | 30 | 18 | 60% |
13 | Atyrá | 30 | 9 | 30% |
14 | CA Colegiales Paraguay | 30 | 14 | 47% |
15 | Guaraní de Trinidad | 30 | 18 | 60% |
16 | Pastoreo | 30 | 17 | 57% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | 3 de Febrero | 15 | 8 | 53% |
2 | Sportivo Luqueño | 15 | 10 | 67% |
3 | Deportivo Santaní | 15 | 6 | 40% |
4 | Independiente FBC | 15 | 8 | 53% |
5 | Sportivo Trinidense | 15 | 8 | 53% |
6 | Rubio Ñú | 15 | 6 | 40% |
7 | River Plate | 15 | 7 | 47% |
8 | Sportivo San Lorenzo | 15 | 6 | 40% |
9 | Fernando de la Mora | 15 | 5 | 33% |
10 | 2 de Mayo | 15 | 7 | 47% |
11 | Martín Ledesma | 15 | 4 | 27% |
12 | Sportivo Iteño | 15 | 9 | 60% |
13 | Atyrá | 15 | 3 | 20% |
14 | CA Colegiales Paraguay | 15 | 6 | 40% |
15 | Guaraní de Trinidad | 15 | 9 | 60% |
16 | Pastoreo | 15 | 8 | 53% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | 3 de Febrero | 15 | 7 | 47% |
2 | Sportivo Luqueño | 15 | 4 | 27% |
3 | Deportivo Santaní | 15 | 3 | 20% |
4 | Independiente FBC | 15 | 6 | 40% |
5 | Sportivo Trinidense | 15 | 7 | 47% |
6 | Rubio Ñú | 15 | 6 | 40% |
7 | River Plate | 15 | 6 | 40% |
8 | Sportivo San Lorenzo | 15 | 7 | 47% |
9 | Fernando de la Mora | 15 | 9 | 60% |
10 | 2 de Mayo | 15 | 7 | 47% |
11 | Martín Ledesma | 15 | 7 | 47% |
12 | Sportivo Iteño | 15 | 9 | 60% |
13 | Atyrá | 15 | 6 | 40% |
14 | CA Colegiales Paraguay | 15 | 8 | 53% |
15 | Guaraní de Trinidad | 15 | 9 | 60% |
16 | Pastoreo | 15 | 9 | 60% |
This section shows the statistics on how many times 3 de Febrero and Fernando de la Mora have both scored and conceded in the same match in the Division Intermedia.
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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