# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ivory Coast |
4 | 2 | 50% |
2 |
![]() Ghana |
3 | 2 | 67% |
3 |
![]() Nigeria |
4 | 1 | 25% |
4 |
![]() Cameroon |
7 | 5 | 71% |
5 |
![]() Algeria |
3 | 1 | 33% |
6 |
![]() Senegal |
7 | 2 | 29% |
7 |
![]() Guinea |
4 | 1 | 25% |
8 |
![]() Burkina |
7 | 5 | 71% |
9 |
![]() Comoros |
4 | 2 | 50% |
10 |
![]() Morocco |
5 | 3 | 60% |
11 |
![]() Egypt |
7 | 1 | 14% |
12 |
![]() Tunisia |
5 | 0 | 0% |
13 |
![]() Mauritania |
3 | 0 | 0% |
14 |
![]() Sierra Leone |
3 | 1 | 33% |
15 |
![]() Mali |
4 | 1 | 25% |
16 |
![]() Malawi |
4 | 2 | 50% |
17 |
![]() Equatorial Guinea |
5 | 1 | 20% |
18 |
![]() Zimbabwe |
3 | 2 | 67% |
19 |
![]() Gambia |
5 | 1 | 20% |
20 |
![]() Sudan |
3 | 1 | 33% |
21 |
![]() Cape Verde Islands |
4 | 1 | 25% |
22 |
![]() Guinea-Bissau |
3 | 0 | 0% |
23 |
![]() Ethiopia |
3 | 2 | 67% |
24 |
![]() Gabon |
4 | 3 | 75% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ivory Coast |
3 | 2 | 67% |
2 |
![]() Ghana |
1 | 1 | 100% |
3 |
![]() Nigeria |
3 | 1 | 33% |
4 |
![]() Cameroon |
4 | 3 | 75% |
5 |
![]() Algeria |
2 | 0 | 0% |
6 |
![]() Senegal |
5 | 1 | 20% |
7 |
![]() Guinea |
2 | 0 | 0% |
8 |
![]() Burkina |
5 | 4 | 80% |
9 |
![]() Comoros |
1 | 0 | 0% |
10 |
![]() Morocco |
3 | 1 | 33% |
11 |
![]() Egypt |
2 | 1 | 50% |
12 |
![]() Tunisia |
2 | 0 | 0% |
13 |
![]() Mauritania |
1 | 0 | 0% |
14 |
![]() Sierra Leone |
1 | 0 | 0% |
15 |
![]() Mali |
2 | 0 | 0% |
16 |
![]() Malawi |
2 | 1 | 50% |
17 |
![]() Equatorial Guinea |
1 | 0 | 0% |
18 |
![]() Zimbabwe |
1 | 1 | 100% |
19 |
![]() Gambia |
3 | 1 | 33% |
20 |
![]() Sudan |
1 | 0 | 0% |
21 |
![]() Cape Verde Islands |
2 | 1 | 50% |
22 |
![]() Guinea-Bissau |
2 | 0 | 0% |
23 |
![]() Ethiopia |
1 | 0 | 0% |
24 |
![]() Gabon |
2 | 2 | 100% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ivory Coast |
1 | 0 | 0% |
2 |
![]() Ghana |
2 | 1 | 50% |
3 |
![]() Nigeria |
1 | 0 | 0% |
4 |
![]() Cameroon |
3 | 2 | 67% |
5 |
![]() Algeria |
1 | 1 | 100% |
6 |
![]() Senegal |
2 | 1 | 50% |
7 |
![]() Guinea |
2 | 1 | 50% |
8 |
![]() Burkina |
2 | 1 | 50% |
9 |
![]() Comoros |
3 | 2 | 67% |
10 |
![]() Morocco |
2 | 2 | 100% |
11 |
![]() Egypt |
5 | 0 | 0% |
12 |
![]() Tunisia |
3 | 0 | 0% |
13 |
![]() Mauritania |
2 | 0 | 0% |
14 |
![]() Sierra Leone |
2 | 1 | 50% |
15 |
![]() Mali |
2 | 1 | 50% |
16 |
![]() Malawi |
2 | 1 | 50% |
17 |
![]() Equatorial Guinea |
4 | 1 | 25% |
18 |
![]() Zimbabwe |
2 | 1 | 50% |
19 |
![]() Gambia |
2 | 0 | 0% |
20 |
![]() Sudan |
2 | 1 | 50% |
21 |
![]() Cape Verde Islands |
2 | 0 | 0% |
22 |
![]() Guinea-Bissau |
1 | 0 | 0% |
23 |
![]() Ethiopia |
2 | 2 | 100% |
24 |
![]() Gabon |
2 | 1 | 50% |
This section shows the statistics on how many times Sudan and Guinea-Bissau have both scored and conceded in the same match in the Africa Cup of Nations.
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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