23.02.2022 - 15:30
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ASEC Mimosas | 26 | 14 | 54% |
2 | Sporting Gagnoa | 26 | 8 | 31% |
3 | SOA | 26 | 11 | 42% |
4 | AFAD | 26 | 11 | 42% |
5 | San-Pédro | 26 | 6 | 23% |
6 | SOL | 26 | 15 | 58% |
7 | Bouaké | 26 | 9 | 35% |
8 | Bassam | 26 | 11 | 42% |
9 | Racing d'Abidjan | 26 | 13 | 50% |
10 | Abengourou | 26 | 8 | 31% |
11 | ES Bafing | 26 | 12 | 46% |
12 | Stella | 26 | 13 | 50% |
13 | Lys Sassandra | 26 | 8 | 31% |
14 | Korhogo | 26 | 13 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ASEC Mimosas | 13 | 6 | 46% |
2 | Sporting Gagnoa | 13 | 4 | 31% |
3 | SOA | 13 | 5 | 38% |
4 | AFAD | 13 | 6 | 46% |
5 | San-Pédro | 13 | 3 | 23% |
6 | SOL | 13 | 5 | 38% |
7 | Bouaké | 14 | 7 | 50% |
8 | Bassam | 13 | 6 | 46% |
9 | Racing d'Abidjan | 13 | 8 | 62% |
10 | Abengourou | 13 | 4 | 31% |
11 | ES Bafing | 13 | 6 | 46% |
12 | Stella | 13 | 7 | 54% |
13 | Lys Sassandra | 12 | 4 | 33% |
14 | Korhogo | 13 | 5 | 38% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ASEC Mimosas | 13 | 8 | 62% |
2 | Sporting Gagnoa | 13 | 4 | 31% |
3 | SOA | 13 | 6 | 46% |
4 | AFAD | 13 | 5 | 38% |
5 | San-Pédro | 13 | 3 | 23% |
6 | SOL | 13 | 10 | 77% |
7 | Bouaké | 12 | 2 | 17% |
8 | Bassam | 13 | 5 | 38% |
9 | Racing d'Abidjan | 13 | 5 | 38% |
10 | Abengourou | 13 | 4 | 31% |
11 | ES Bafing | 13 | 6 | 46% |
12 | Stella | 13 | 6 | 46% |
13 | Lys Sassandra | 14 | 4 | 29% |
14 | Korhogo | 13 | 8 | 62% |
This section shows the statistics on how many times San-Pédro and SOA 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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