# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Dominica |
2 | 0 | 0% |
2 |
![]() Canada |
0 | 0 | 0% |
3 |
![]() Northern Ireland |
4 | 3 | 75% |
4 |
![]() Singapore |
1 | 1 | 100% |
5 |
![]() Equatorial Guinea |
1 | 1 | 100% |
6 |
![]() Gabon |
1 | 0 | 0% |
7 |
![]() Romania |
1 | 0 | 0% |
8 |
![]() Cameroon |
1 | 1 | 100% |
9 |
![]() Gambia |
1 | 1 | 100% |
10 |
![]() Finland |
0 | 0 | 0% |
11 |
![]() Kosovo |
2 | 2 | 100% |
12 |
![]() Greece |
2 | 1 | 50% |
13 |
![]() Saudi Arabia |
3 | 2 | 67% |
14 |
![]() Tanzania |
3 | 1 | 33% |
15 |
![]() Jamaica |
2 | 2 | 100% |
16 |
![]() Trinidad and Tobago |
2 | 1 | 50% |
17 |
![]() Dominican Republic |
0 | 0 | 0% |
18 |
![]() Macau |
1 | 0 | 0% |
19 |
![]() Hong Kong |
2 | 0 | 0% |
20 |
![]() South Sudan |
0 | 0 | 0% |
21 |
![]() Mozambique |
1 | 0 | 0% |
22 |
![]() El Salvador |
1 | 1 | 100% |
23 |
![]() Guatemala |
2 | 2 | 100% |
24 |
![]() Andorra |
0 | 0 | 0% |
25 |
![]() Moldova |
1 | 0 | 0% |
26 |
![]() Liechtenstein |
1 | 0 | 0% |
27 |
![]() Poland |
1 | 0 | 0% |
28 |
![]() Slovenia |
2 | 1 | 50% |
29 |
![]() England |
1 | 1 | 100% |
30 |
![]() Ireland |
2 | 1 | 50% |
31 |
![]() Albania |
1 | 0 | 0% |
32 |
![]() Azerbaijan |
4 | 1 | 25% |
33 |
![]() Slovakia |
2 | 1 | 50% |
34 |
![]() Denmark |
2 | 1 | 50% |
35 |
![]() Thailand |
2 | 0 | 0% |
36 |
![]() Kazakhstan |
1 | 0 | 0% |
37 |
![]() North Korea |
2 | 1 | 50% |
38 |
![]() Maldives |
1 | 0 | 0% |
39 |
![]() Russia |
0 | 0 | 0% |
40 |
![]() Nigeria |
2 | 2 | 100% |
41 |
![]() Senegal |
2 | 2 | 100% |
42 |
![]() Morocco |
0 | 0 | 0% |
43 |
![]() Bulgaria |
2 | 1 | 50% |
44 |
![]() Sweden |
4 | 2 | 50% |
45 |
![]() Ukraine |
2 | 2 | 100% |
46 |
![]() Tunisia |
0 | 0 | 0% |
47 |
![]() New Zealand |
0 | 0 | 0% |
48 |
![]() Nepal |
1 | 0 | 0% |
49 |
![]() Latvia |
0 | 0 | 0% |
50 |
![]() Grenada |
1 | 1 | 100% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Dominica |
2 | 0 | 0% |
2 |
![]() Canada |
0 | 0 | 0% |
3 |
![]() Northern Ireland |
2 | 1 | 50% |
4 |
![]() Singapore |
1 | 1 | 100% |
5 |
![]() Equatorial Guinea |
1 | 1 | 100% |
6 |
![]() Gabon |
1 | 0 | 0% |
7 |
![]() Romania |
1 | 0 | 0% |
8 |
![]() Cameroon |
0 | 0 | 0% |
9 |
![]() Gambia |
0 | 0 | 0% |
10 |
![]() Finland |
0 | 0 | 0% |
11 |
![]() Kosovo |
2 | 2 | 100% |
12 |
![]() Greece |
2 | 1 | 50% |
13 |
![]() Saudi Arabia |
2 | 1 | 50% |
14 |
![]() Tanzania |
3 | 1 | 33% |
15 |
![]() Jamaica |
2 | 2 | 100% |
16 |
![]() Trinidad and Tobago |
1 | 0 | 0% |
17 |
![]() Dominican Republic |
0 | 0 | 0% |
18 |
![]() Macau |
0 | 0 | 0% |
19 |
![]() Hong Kong |
2 | 0 | 0% |
20 |
![]() South Sudan |
0 | 0 | 0% |
21 |
![]() Mozambique |
0 | 0 | 0% |
22 |
![]() El Salvador |
1 | 1 | 100% |
23 |
![]() Guatemala |
1 | 1 | 100% |
24 |
![]() Andorra |
0 | 0 | 0% |
25 |
![]() Moldova |
0 | 0 | 0% |
26 |
![]() Liechtenstein |
1 | 0 | 0% |
27 |
![]() Poland |
1 | 0 | 0% |
28 |
![]() Slovenia |
1 | 1 | 100% |
29 |
![]() England |
1 | 1 | 100% |
30 |
![]() Ireland |
1 | 1 | 100% |
31 |
![]() Albania |
0 | 0 | 0% |
32 |
![]() Azerbaijan |
3 | 1 | 33% |
33 |
![]() Slovakia |
0 | 0 | 0% |
34 |
![]() Denmark |
2 | 1 | 50% |
35 |
![]() Thailand |
2 | 0 | 0% |
36 |
![]() Kazakhstan |
1 | 0 | 0% |
37 |
![]() North Korea |
0 | 0 | 0% |
38 |
![]() Maldives |
0 | 0 | 0% |
39 |
![]() Russia |
0 | 0 | 0% |
40 |
![]() Nigeria |
0 | 0 | 0% |
41 |
![]() Senegal |
0 | 0 | 0% |
42 |
![]() Morocco |
0 | 0 | 0% |
43 |
![]() Bulgaria |
1 | 1 | 100% |
44 |
![]() Sweden |
2 | 2 | 100% |
45 |
![]() Ukraine |
0 | 0 | 0% |
46 |
![]() Tunisia |
0 | 0 | 0% |
47 |
![]() New Zealand |
0 | 0 | 0% |
48 |
![]() Nepal |
1 | 0 | 0% |
49 |
![]() Latvia |
0 | 0 | 0% |
50 |
![]() Grenada |
0 | 0 | 0% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Dominica |
0 | 0 | 0% |
2 |
![]() Canada |
0 | 0 | 0% |
3 |
![]() Northern Ireland |
2 | 2 | 100% |
4 |
![]() Singapore |
0 | 0 | 0% |
5 |
![]() Equatorial Guinea |
0 | 0 | 0% |
6 |
![]() Gabon |
0 | 0 | 0% |
7 |
![]() Romania |
0 | 0 | 0% |
8 |
![]() Cameroon |
1 | 1 | 100% |
9 |
![]() Gambia |
1 | 1 | 100% |
10 |
![]() Finland |
0 | 0 | 0% |
11 |
![]() Kosovo |
0 | 0 | 0% |
12 |
![]() Greece |
0 | 0 | 0% |
13 |
![]() Saudi Arabia |
1 | 1 | 100% |
14 |
![]() Tanzania |
0 | 0 | 0% |
15 |
![]() Jamaica |
0 | 0 | 0% |
16 |
![]() Trinidad and Tobago |
1 | 1 | 100% |
17 |
![]() Dominican Republic |
0 | 0 | 0% |
18 |
![]() Macau |
1 | 0 | 0% |
19 |
![]() Hong Kong |
0 | 0 | 0% |
20 |
![]() South Sudan |
0 | 0 | 0% |
21 |
![]() Mozambique |
1 | 0 | 0% |
22 |
![]() El Salvador |
0 | 0 | 0% |
23 |
![]() Guatemala |
1 | 1 | 100% |
24 |
![]() Andorra |
0 | 0 | 0% |
25 |
![]() Moldova |
1 | 0 | 0% |
26 |
![]() Liechtenstein |
0 | 0 | 0% |
27 |
![]() Poland |
0 | 0 | 0% |
28 |
![]() Slovenia |
1 | 0 | 0% |
29 |
![]() England |
0 | 0 | 0% |
30 |
![]() Ireland |
1 | 0 | 0% |
31 |
![]() Albania |
1 | 0 | 0% |
32 |
![]() Azerbaijan |
1 | 0 | 0% |
33 |
![]() Slovakia |
2 | 1 | 50% |
34 |
![]() Denmark |
0 | 0 | 0% |
35 |
![]() Thailand |
0 | 0 | 0% |
36 |
![]() Kazakhstan |
0 | 0 | 0% |
37 |
![]() North Korea |
2 | 1 | 50% |
38 |
![]() Maldives |
1 | 0 | 0% |
39 |
![]() Russia |
0 | 0 | 0% |
40 |
![]() Nigeria |
2 | 2 | 100% |
41 |
![]() Senegal |
2 | 2 | 100% |
42 |
![]() Morocco |
0 | 0 | 0% |
43 |
![]() Bulgaria |
1 | 0 | 0% |
44 |
![]() Sweden |
2 | 0 | 0% |
45 |
![]() Ukraine |
2 | 2 | 100% |
46 |
![]() Tunisia |
0 | 0 | 0% |
47 |
![]() New Zealand |
0 | 0 | 0% |
48 |
![]() Nepal |
0 | 0 | 0% |
49 |
![]() Latvia |
0 | 0 | 0% |
50 |
![]() Grenada |
1 | 1 | 100% |
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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