# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() ASEC Mimosas |
30 | 11 | 37% |
2 |
![]() Sporting Gagnoa |
30 | 15 | 50% |
3 |
![]() SOA |
30 | 15 | 50% |
4 |
![]() AFAD |
30 | 9 | 30% |
5 |
![]() San-Pédro |
30 | 10 | 33% |
6 |
![]() SOL |
30 | 11 | 37% |
7 |
![]() Bouaké |
30 | 15 | 50% |
8 |
![]() Bassam |
30 | 12 | 40% |
9 |
![]() Racing d'Abidjan |
30 | 22 | 73% |
10 |
![]() Abengourou |
30 | 12 | 40% |
11 |
![]() ES Bafing |
30 | 15 | 50% |
12 |
![]() Stella |
30 | 10 | 33% |
13 |
![]() Lys Sassandra |
30 | 18 | 60% |
14 |
![]() Stade d'Abidjan |
30 | 13 | 43% |
15 |
![]() Denguélé |
30 | 13 | 43% |
16 |
![]() Korhogo |
30 | 15 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() ASEC Mimosas |
15 | 5 | 33% |
2 |
![]() Sporting Gagnoa |
15 | 10 | 67% |
3 |
![]() SOA |
15 | 7 | 47% |
4 |
![]() AFAD |
15 | 4 | 27% |
5 |
![]() San-Pédro |
15 | 6 | 40% |
6 |
![]() SOL |
15 | 5 | 33% |
7 |
![]() Bouaké |
15 | 6 | 40% |
8 |
![]() Bassam |
15 | 4 | 27% |
9 |
![]() Racing d'Abidjan |
15 | 11 | 73% |
10 |
![]() Abengourou |
15 | 8 | 53% |
11 |
![]() ES Bafing |
15 | 8 | 53% |
12 |
![]() Stella |
15 | 4 | 27% |
13 |
![]() Lys Sassandra |
15 | 7 | 47% |
14 |
![]() Stade d'Abidjan |
15 | 8 | 53% |
15 |
![]() Denguélé |
15 | 7 | 47% |
16 |
![]() Korhogo |
15 | 8 | 53% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() ASEC Mimosas |
15 | 6 | 40% |
2 |
![]() Sporting Gagnoa |
15 | 5 | 33% |
3 |
![]() SOA |
15 | 8 | 53% |
4 |
![]() AFAD |
15 | 5 | 33% |
5 |
![]() San-Pédro |
15 | 4 | 27% |
6 |
![]() SOL |
15 | 6 | 40% |
7 |
![]() Bouaké |
15 | 9 | 60% |
8 |
![]() Bassam |
15 | 8 | 53% |
9 |
![]() Racing d'Abidjan |
15 | 11 | 73% |
10 |
![]() Abengourou |
15 | 4 | 27% |
11 |
![]() ES Bafing |
15 | 7 | 47% |
12 |
![]() Stella |
15 | 6 | 40% |
13 |
![]() Lys Sassandra |
15 | 11 | 73% |
14 |
![]() Stade d'Abidjan |
15 | 5 | 33% |
15 |
![]() Denguélé |
15 | 6 | 40% |
16 |
![]() Korhogo |
15 | 7 | 47% |
This section shows the statistics on how many times San-Pédro and ASEC Mimosas have both scored and conceded in the same match in the Ligue 1.
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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