# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Cameroon |
2 | 1 | 50% |
2 |
![]() Malaysia |
2 | 1 | 50% |
3 |
![]() Japan |
0 | 0 | 0% |
4 |
![]() Slovenia |
2 | 1 | 50% |
5 |
![]() Dominican Republic |
2 | 1 | 50% |
6 |
![]() Mexico |
2 | 1 | 50% |
7 |
![]() Haiti |
1 | 0 | 0% |
8 |
![]() Nepal |
2 | 0 | 0% |
9 |
![]() Barbados |
2 | 0 | 0% |
10 |
![]() Laos |
1 | 1 | 100% |
11 |
![]() Timor-Leste |
1 | 0 | 0% |
12 |
![]() South Africa |
2 | 0 | 0% |
13 |
![]() Ireland |
2 | 1 | 50% |
14 |
![]() Curaçao |
1 | 0 | 0% |
15 |
![]() Guatemala |
2 | 2 | 100% |
16 |
![]() Poland |
1 | 0 | 0% |
17 |
![]() Benin |
1 | 0 | 0% |
18 |
![]() Eritrea |
0 | 0 | 0% |
19 |
![]() Chad |
2 | 1 | 50% |
20 |
![]() Uganda |
4 | 2 | 50% |
21 |
![]() Comoros |
1 | 1 | 100% |
22 |
![]() Lebanon |
3 | 0 | 0% |
23 |
![]() Ukraine |
2 | 2 | 100% |
24 |
![]() Ivory Coast |
2 | 0 | 0% |
25 |
![]() Dominica |
2 | 0 | 0% |
26 |
![]() Georgia |
2 | 1 | 50% |
27 |
![]() Denmark |
2 | 1 | 50% |
28 |
![]() Belarus |
4 | 2 | 50% |
29 |
![]() Tanzania |
5 | 1 | 20% |
30 |
![]() Faroe Islands |
1 | 0 | 0% |
31 |
![]() Gambia |
2 | 2 | 100% |
32 |
![]() Liberia |
0 | 0 | 0% |
33 |
![]() Guinea-Bissau |
2 | 0 | 0% |
34 |
![]() Burundi |
2 | 0 | 0% |
35 |
![]() USA |
3 | 1 | 33% |
36 |
![]() Costa Rica |
1 | 0 | 0% |
37 |
![]() Kenya |
4 | 2 | 50% |
38 |
![]() Burkina |
4 | 1 | 25% |
39 |
![]() Azerbaijan |
4 | 1 | 25% |
40 |
![]() Jamaica |
4 | 3 | 75% |
41 |
![]() Trinidad and Tobago |
4 | 2 | 50% |
42 |
![]() Northern Ireland |
4 | 3 | 75% |
43 |
![]() Chile |
1 | 1 | 100% |
44 |
![]() Panama |
1 | 1 | 100% |
45 |
![]() Algeria |
2 | 1 | 50% |
46 |
![]() New Zealand |
2 | 1 | 50% |
47 |
![]() Moldova |
1 | 0 | 0% |
48 |
![]() Gabon |
2 | 1 | 50% |
49 |
![]() Saint Martin |
2 | 2 | 100% |
50 |
![]() Brunei Darussalam |
1 | 0 | 0% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Cameroon |
1 | 0 | 0% |
2 |
![]() Malaysia |
2 | 1 | 50% |
3 |
![]() Japan |
0 | 0 | 0% |
4 |
![]() Slovenia |
1 | 1 | 100% |
5 |
![]() Dominican Republic |
1 | 0 | 0% |
6 |
![]() Mexico |
2 | 1 | 50% |
7 |
![]() Haiti |
0 | 0 | 0% |
8 |
![]() Nepal |
0 | 0 | 0% |
9 |
![]() Barbados |
0 | 0 | 0% |
10 |
![]() Laos |
1 | 1 | 100% |
11 |
![]() Timor-Leste |
0 | 0 | 0% |
12 |
![]() South Africa |
2 | 0 | 0% |
13 |
![]() Ireland |
1 | 1 | 100% |
14 |
![]() Curaçao |
0 | 0 | 0% |
15 |
![]() Guatemala |
0 | 0 | 0% |
16 |
![]() Poland |
1 | 0 | 0% |
17 |
![]() Benin |
0 | 0 | 0% |
18 |
![]() Eritrea |
0 | 0 | 0% |
19 |
![]() Chad |
0 | 0 | 0% |
20 |
![]() Uganda |
2 | 2 | 100% |
21 |
![]() Comoros |
0 | 0 | 0% |
22 |
![]() Lebanon |
1 | 0 | 0% |
23 |
![]() Ukraine |
0 | 0 | 0% |
24 |
![]() Ivory Coast |
0 | 0 | 0% |
25 |
![]() Dominica |
2 | 0 | 0% |
26 |
![]() Georgia |
2 | 1 | 50% |
27 |
![]() Denmark |
2 | 1 | 50% |
28 |
![]() Belarus |
2 | 2 | 100% |
29 |
![]() Tanzania |
4 | 1 | 25% |
30 |
![]() Faroe Islands |
0 | 0 | 0% |
31 |
![]() Gambia |
0 | 0 | 0% |
32 |
![]() Liberia |
0 | 0 | 0% |
33 |
![]() Guinea-Bissau |
1 | 0 | 0% |
34 |
![]() Burundi |
1 | 0 | 0% |
35 |
![]() USA |
3 | 1 | 33% |
36 |
![]() Costa Rica |
0 | 0 | 0% |
37 |
![]() Kenya |
2 | 1 | 50% |
38 |
![]() Burkina |
1 | 1 | 100% |
39 |
![]() Azerbaijan |
3 | 1 | 33% |
40 |
![]() Jamaica |
4 | 3 | 75% |
41 |
![]() Trinidad and Tobago |
1 | 0 | 0% |
42 |
![]() Northern Ireland |
2 | 1 | 50% |
43 |
![]() Chile |
1 | 1 | 100% |
44 |
![]() Panama |
0 | 0 | 0% |
45 |
![]() Algeria |
1 | 0 | 0% |
46 |
![]() New Zealand |
2 | 1 | 50% |
47 |
![]() Moldova |
0 | 0 | 0% |
48 |
![]() Gabon |
1 | 0 | 0% |
49 |
![]() Saint Martin |
2 | 2 | 100% |
50 |
![]() Brunei Darussalam |
0 | 0 | 0% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Cameroon |
1 | 1 | 100% |
2 |
![]() Malaysia |
0 | 0 | 0% |
3 |
![]() Japan |
0 | 0 | 0% |
4 |
![]() Slovenia |
1 | 0 | 0% |
5 |
![]() Dominican Republic |
1 | 1 | 100% |
6 |
![]() Mexico |
0 | 0 | 0% |
7 |
![]() Haiti |
1 | 0 | 0% |
8 |
![]() Nepal |
2 | 0 | 0% |
9 |
![]() Barbados |
2 | 0 | 0% |
10 |
![]() Laos |
0 | 0 | 0% |
11 |
![]() Timor-Leste |
1 | 0 | 0% |
12 |
![]() South Africa |
0 | 0 | 0% |
13 |
![]() Ireland |
1 | 0 | 0% |
14 |
![]() Curaçao |
1 | 0 | 0% |
15 |
![]() Guatemala |
2 | 2 | 100% |
16 |
![]() Poland |
0 | 0 | 0% |
17 |
![]() Benin |
1 | 0 | 0% |
18 |
![]() Eritrea |
0 | 0 | 0% |
19 |
![]() Chad |
2 | 1 | 50% |
20 |
![]() Uganda |
2 | 0 | 0% |
21 |
![]() Comoros |
1 | 1 | 100% |
22 |
![]() Lebanon |
2 | 0 | 0% |
23 |
![]() Ukraine |
2 | 2 | 100% |
24 |
![]() Ivory Coast |
2 | 0 | 0% |
25 |
![]() Dominica |
0 | 0 | 0% |
26 |
![]() Georgia |
0 | 0 | 0% |
27 |
![]() Denmark |
0 | 0 | 0% |
28 |
![]() Belarus |
2 | 0 | 0% |
29 |
![]() Tanzania |
1 | 0 | 0% |
30 |
![]() Faroe Islands |
1 | 0 | 0% |
31 |
![]() Gambia |
2 | 2 | 100% |
32 |
![]() Liberia |
0 | 0 | 0% |
33 |
![]() Guinea-Bissau |
1 | 0 | 0% |
34 |
![]() Burundi |
1 | 0 | 0% |
35 |
![]() USA |
0 | 0 | 0% |
36 |
![]() Costa Rica |
1 | 0 | 0% |
37 |
![]() Kenya |
2 | 1 | 50% |
38 |
![]() Burkina |
3 | 0 | 0% |
39 |
![]() Azerbaijan |
1 | 0 | 0% |
40 |
![]() Jamaica |
0 | 0 | 0% |
41 |
![]() Trinidad and Tobago |
3 | 2 | 67% |
42 |
![]() Northern Ireland |
2 | 2 | 100% |
43 |
![]() Chile |
0 | 0 | 0% |
44 |
![]() Panama |
1 | 1 | 100% |
45 |
![]() Algeria |
1 | 1 | 100% |
46 |
![]() New Zealand |
0 | 0 | 0% |
47 |
![]() Moldova |
1 | 0 | 0% |
48 |
![]() Gabon |
1 | 1 | 100% |
49 |
![]() Saint Martin |
0 | 0 | 0% |
50 |
![]() Brunei Darussalam |
1 | 0 | 0% |
This section shows the statistics on how many times St. Vincent / Grenadines and Grenada have both scored and conceded in the same match in the International Friendlies.
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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