17.09.2017 - 13:00
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Songo | 30 | 7 | 23% |
2 | Ferroviário Beira | 30 | 16 | 53% |
3 | Ferroviário Maputo | 30 | 10 | 33% |
4 | Liga Muculmana | 30 | 13 | 43% |
5 | Maxaquene | 30 | 9 | 30% |
6 | Desportivo Nacala | 30 | 10 | 33% |
7 | Chibuto | 30 | 13 | 43% |
8 | Costa do Sol | 30 | 11 | 37% |
9 | Textáfrica | 30 | 10 | 33% |
10 | Ferroviário Nacala | 30 | 6 | 20% |
11 | ENH Vilankulo | 30 | 11 | 37% |
12 | Ferroviário Nampula | 30 | 9 | 30% |
13 | 1° de Maio | 30 | 10 | 33% |
14 | Macuácua | 30 | 7 | 23% |
15 | UP de Lichinga | 30 | 7 | 23% |
16 | Chingale de Tete | 30 | 13 | 43% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Songo | 15 | 2 | 13% |
2 | Ferroviário Beira | 15 | 7 | 47% |
3 | Ferroviário Maputo | 15 | 6 | 40% |
4 | Liga Muculmana | 15 | 6 | 40% |
5 | Maxaquene | 15 | 5 | 33% |
6 | Desportivo Nacala | 15 | 4 | 27% |
7 | Chibuto | 15 | 8 | 53% |
8 | Costa do Sol | 15 | 7 | 47% |
9 | Textáfrica | 15 | 6 | 40% |
10 | Ferroviário Nacala | 15 | 5 | 33% |
11 | ENH Vilankulo | 15 | 7 | 47% |
12 | Ferroviário Nampula | 15 | 4 | 27% |
13 | 1° de Maio | 15 | 3 | 20% |
14 | Macuácua | 15 | 3 | 20% |
15 | UP de Lichinga | 15 | 4 | 27% |
16 | Chingale de Tete | 15 | 4 | 27% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Songo | 15 | 5 | 33% |
2 | Ferroviário Beira | 15 | 9 | 60% |
3 | Ferroviário Maputo | 15 | 4 | 27% |
4 | Liga Muculmana | 15 | 7 | 47% |
5 | Maxaquene | 15 | 4 | 27% |
6 | Desportivo Nacala | 15 | 6 | 40% |
7 | Chibuto | 15 | 5 | 33% |
8 | Costa do Sol | 15 | 4 | 27% |
9 | Textáfrica | 15 | 4 | 27% |
10 | Ferroviário Nacala | 15 | 1 | 7% |
11 | ENH Vilankulo | 15 | 4 | 27% |
12 | Ferroviário Nampula | 15 | 5 | 33% |
13 | 1° de Maio | 15 | 7 | 47% |
14 | Macuácua | 15 | 4 | 27% |
15 | UP de Lichinga | 15 | 3 | 20% |
16 | Chingale de Tete | 15 | 9 | 60% |
This section shows the statistics on how many times 1° de Maio and UP de Lichinga have both scored and conceded in the same match in the Mocambola.
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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