# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ivory Coast |
10 | 0 | 0% |
2 |
![]() Ghana |
10 | 3 | 30% |
3 |
![]() Nigeria |
10 | 7 | 70% |
4 |
![]() Cameroon |
10 | 4 | 40% |
5 |
![]() Algeria |
10 | 7 | 70% |
6 |
![]() Senegal |
10 | 2 | 20% |
7 |
![]() Kenya |
10 | 5 | 50% |
8 |
![]() Central African Republic |
10 | 5 | 50% |
9 |
![]() South Africa |
10 | 4 | 40% |
10 |
![]() Guinea |
10 | 4 | 40% |
11 |
![]() Seychelles |
10 | 2 | 20% |
12 |
![]() Swaziland |
10 | 3 | 30% |
13 |
![]() Uganda |
10 | 4 | 40% |
14 |
![]() Angola |
10 | 5 | 50% |
15 |
![]() Lesotho |
10 | 3 | 30% |
16 |
![]() Libya |
10 | 5 | 50% |
17 |
![]() Botswana |
10 | 5 | 50% |
18 |
![]() Burkina |
10 | 6 | 60% |
19 |
![]() Comoros |
10 | 3 | 30% |
20 |
![]() São Tomé e Príncipe |
10 | 3 | 30% |
21 |
![]() Tanzania |
8 | 1 | 13% |
22 |
![]() Togo |
10 | 3 | 30% |
23 |
![]() Morocco |
8 | 2 | 25% |
24 |
![]() Egypt |
10 | 2 | 20% |
25 |
![]() Tunisia |
10 | 0 | 0% |
26 |
![]() Mauritania |
10 | 1 | 10% |
27 |
![]() Mauritius |
10 | 4 | 40% |
28 |
![]() Namibia |
10 | 4 | 40% |
29 |
![]() Sierra Leone |
10 | 5 | 50% |
30 |
![]() Mali |
10 | 4 | 40% |
31 |
![]() Malawi |
9 | 3 | 33% |
32 |
![]() Madagascar |
10 | 5 | 50% |
33 |
![]() Equatorial Guinea |
9 | 3 | 33% |
34 |
![]() Zambia |
8 | 3 | 38% |
35 |
![]() Zimbabwe |
10 | 4 | 40% |
36 |
![]() Gambia |
10 | 6 | 60% |
37 |
![]() Congo DR |
10 | 3 | 30% |
38 |
![]() Sudan |
10 | 2 | 20% |
39 |
![]() Chad |
10 | 4 | 40% |
40 |
![]() Cape Verde Islands |
10 | 3 | 30% |
41 |
![]() Benin |
10 | 3 | 30% |
42 |
![]() Liberia |
10 | 5 | 50% |
43 |
![]() Niger |
8 | 3 | 38% |
44 |
![]() Djibouti |
10 | 5 | 50% |
45 |
![]() Guinea-Bissau |
10 | 5 | 50% |
46 |
![]() Eritrea |
0 | 0 | 0% |
47 |
![]() Ethiopia |
10 | 3 | 30% |
48 |
![]() Burundi |
10 | 4 | 40% |
49 |
![]() South Sudan |
10 | 3 | 30% |
50 |
![]() Gabon |
10 | 5 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ivory Coast |
5 | 0 | 0% |
2 |
![]() Ghana |
5 | 1 | 20% |
3 |
![]() Nigeria |
5 | 3 | 60% |
4 |
![]() Cameroon |
5 | 2 | 40% |
5 |
![]() Algeria |
5 | 5 | 100% |
6 |
![]() Senegal |
5 | 1 | 20% |
7 |
![]() Kenya |
5 | 3 | 60% |
8 |
![]() Central African Republic |
5 | 1 | 20% |
9 |
![]() South Africa |
5 | 3 | 60% |
10 |
![]() Guinea |
5 | 2 | 40% |
11 |
![]() Seychelles |
5 | 1 | 20% |
12 |
![]() Swaziland |
5 | 2 | 40% |
13 |
![]() Uganda |
5 | 1 | 20% |
14 |
![]() Angola |
5 | 3 | 60% |
15 |
![]() Lesotho |
5 | 1 | 20% |
16 |
![]() Libya |
5 | 4 | 80% |
17 |
![]() Botswana |
5 | 2 | 40% |
18 |
![]() Burkina |
5 | 4 | 80% |
19 |
![]() Comoros |
5 | 2 | 40% |
20 |
![]() São Tomé e Príncipe |
5 | 1 | 20% |
21 |
![]() Tanzania |
4 | 0 | 0% |
22 |
![]() Togo |
5 | 2 | 40% |
23 |
![]() Morocco |
4 | 1 | 25% |
24 |
![]() Egypt |
5 | 1 | 20% |
25 |
![]() Tunisia |
5 | 0 | 0% |
26 |
![]() Mauritania |
5 | 0 | 0% |
27 |
![]() Mauritius |
5 | 1 | 20% |
28 |
![]() Namibia |
5 | 3 | 60% |
29 |
![]() Sierra Leone |
5 | 2 | 40% |
30 |
![]() Mali |
5 | 4 | 80% |
31 |
![]() Malawi |
4 | 2 | 50% |
32 |
![]() Madagascar |
5 | 2 | 40% |
33 |
![]() Equatorial Guinea |
5 | 1 | 20% |
34 |
![]() Zambia |
4 | 1 | 25% |
35 |
![]() Zimbabwe |
5 | 2 | 40% |
36 |
![]() Gambia |
5 | 3 | 60% |
37 |
![]() Congo DR |
5 | 1 | 20% |
38 |
![]() Sudan |
5 | 2 | 40% |
39 |
![]() Chad |
5 | 2 | 40% |
40 |
![]() Cape Verde Islands |
5 | 0 | 0% |
41 |
![]() Benin |
5 | 1 | 20% |
42 |
![]() Liberia |
5 | 2 | 40% |
43 |
![]() Niger |
4 | 3 | 75% |
44 |
![]() Djibouti |
5 | 2 | 40% |
45 |
![]() Guinea-Bissau |
5 | 3 | 60% |
46 |
![]() Eritrea |
0 | 0 | 0% |
47 |
![]() Ethiopia |
5 | 1 | 20% |
48 |
![]() Burundi |
5 | 2 | 40% |
49 |
![]() South Sudan |
5 | 1 | 20% |
50 |
![]() Gabon |
5 | 2 | 40% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ivory Coast |
5 | 0 | 0% |
2 |
![]() Ghana |
5 | 2 | 40% |
3 |
![]() Nigeria |
5 | 4 | 80% |
4 |
![]() Cameroon |
5 | 2 | 40% |
5 |
![]() Algeria |
5 | 2 | 40% |
6 |
![]() Senegal |
5 | 1 | 20% |
7 |
![]() Kenya |
5 | 2 | 40% |
8 |
![]() Central African Republic |
5 | 4 | 80% |
9 |
![]() South Africa |
5 | 1 | 20% |
10 |
![]() Guinea |
5 | 2 | 40% |
11 |
![]() Seychelles |
5 | 1 | 20% |
12 |
![]() Swaziland |
5 | 1 | 20% |
13 |
![]() Uganda |
5 | 3 | 60% |
14 |
![]() Angola |
5 | 2 | 40% |
15 |
![]() Lesotho |
5 | 2 | 40% |
16 |
![]() Libya |
5 | 1 | 20% |
17 |
![]() Botswana |
5 | 3 | 60% |
18 |
![]() Burkina |
5 | 2 | 40% |
19 |
![]() Comoros |
5 | 1 | 20% |
20 |
![]() São Tomé e Príncipe |
5 | 2 | 40% |
21 |
![]() Tanzania |
4 | 1 | 25% |
22 |
![]() Togo |
5 | 1 | 20% |
23 |
![]() Morocco |
4 | 1 | 25% |
24 |
![]() Egypt |
5 | 1 | 20% |
25 |
![]() Tunisia |
5 | 0 | 0% |
26 |
![]() Mauritania |
5 | 1 | 20% |
27 |
![]() Mauritius |
5 | 3 | 60% |
28 |
![]() Namibia |
5 | 1 | 20% |
29 |
![]() Sierra Leone |
5 | 3 | 60% |
30 |
![]() Mali |
5 | 0 | 0% |
31 |
![]() Malawi |
5 | 1 | 20% |
32 |
![]() Madagascar |
5 | 3 | 60% |
33 |
![]() Equatorial Guinea |
4 | 2 | 50% |
34 |
![]() Zambia |
4 | 2 | 50% |
35 |
![]() Zimbabwe |
5 | 2 | 40% |
36 |
![]() Gambia |
5 | 3 | 60% |
37 |
![]() Congo DR |
5 | 2 | 40% |
38 |
![]() Sudan |
5 | 0 | 0% |
39 |
![]() Chad |
5 | 2 | 40% |
40 |
![]() Cape Verde Islands |
5 | 3 | 60% |
41 |
![]() Benin |
5 | 2 | 40% |
42 |
![]() Liberia |
5 | 3 | 60% |
43 |
![]() Niger |
4 | 0 | 0% |
44 |
![]() Djibouti |
5 | 3 | 60% |
45 |
![]() Guinea-Bissau |
5 | 2 | 40% |
46 |
![]() Eritrea |
0 | 0 | 0% |
47 |
![]() Ethiopia |
5 | 2 | 40% |
48 |
![]() Burundi |
5 | 2 | 40% |
49 |
![]() South Sudan |
5 | 2 | 40% |
50 |
![]() Gabon |
5 | 3 | 60% |
This section shows the statistics on how many times São Tomé e Príncipe and Malawi have both scored and conceded in the same match in the WC Qualification Africa.
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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