# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gibraltar W |
4 | 4 | 100% |
2 |
![]() Georgia W |
2 | 0 | 0% |
3 |
![]() Maldives W |
1 | 0 | 0% |
4 |
![]() Uruguay W |
8 | 4 | 50% |
5 |
![]() Ecuador W |
7 | 5 | 71% |
6 |
![]() Liechtenstein W |
4 | 3 | 75% |
7 |
![]() Wales W |
1 | 0 | 0% |
8 |
![]() Greece W |
4 | 3 | 75% |
9 |
![]() Faroe Islands W |
2 | 0 | 0% |
10 |
![]() Poland W |
2 | 1 | 50% |
11 |
![]() Philippines Women |
5 | 2 | 40% |
12 |
![]() Finland W |
1 | 0 | 0% |
13 |
![]() New Zealand Women |
5 | 2 | 40% |
14 |
![]() Lebanon W |
2 | 1 | 50% |
15 |
![]() Syria W |
2 | 1 | 50% |
16 |
![]() Mexico W |
9 | 3 | 33% |
17 |
![]() Colombia Women |
8 | 4 | 50% |
18 |
![]() North Macedonia W |
6 | 2 | 33% |
19 |
![]() Paraguay W |
3 | 1 | 33% |
20 |
![]() Turkey W |
2 | 1 | 50% |
21 |
![]() Romania W |
3 | 1 | 33% |
22 |
![]() Cayman Islands W |
2 | 0 | 0% |
23 |
![]() Burkina Faso W |
2 | 0 | 0% |
24 |
![]() United States Women |
9 | 3 | 33% |
25 |
![]() Tunisia W |
4 | 1 | 25% |
26 |
![]() Canada Women |
6 | 4 | 67% |
27 |
![]() Brazil Women |
6 | 4 | 67% |
28 |
![]() Uzbekistan W |
6 | 0 | 0% |
29 |
![]() South Africa Women |
6 | 3 | 50% |
30 |
![]() Taiwan W |
8 | 4 | 50% |
31 |
![]() Congo DR W |
6 | 4 | 67% |
32 |
![]() El Salvador W |
4 | 2 | 50% |
33 |
![]() South Sudan W |
2 | 1 | 50% |
34 |
![]() Mali W |
4 | 1 | 25% |
35 |
![]() Palestine W |
4 | 1 | 25% |
36 |
![]() Myanmar W |
4 | 4 | 100% |
37 |
![]() Belize W |
4 | 0 | 0% |
38 |
![]() Bermuda W |
2 | 0 | 0% |
39 |
![]() Macao W |
1 | 0 | 0% |
40 |
![]() Iceland W |
4 | 2 | 50% |
41 |
![]() Jamaica Women |
7 | 2 | 29% |
42 |
![]() Chile Women |
10 | 6 | 60% |
43 |
![]() UAE W |
2 | 0 | 0% |
44 |
![]() Curaçao W |
4 | 2 | 50% |
45 |
![]() Republic of Ireland Women |
2 | 0 | 0% |
46 |
![]() Malta W |
5 | 3 | 60% |
47 |
![]() Switzerland Women |
6 | 3 | 50% |
48 |
![]() Albania W |
3 | 1 | 33% |
49 |
![]() Bolivia W |
6 | 3 | 50% |
50 |
![]() Australia Women |
10 | 7 | 70% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gibraltar W |
4 | 4 | 100% |
2 |
![]() Georgia W |
2 | 0 | 0% |
3 |
![]() Maldives W |
0 | 0 | 0% |
4 |
![]() Uruguay W |
4 | 3 | 75% |
5 |
![]() Ecuador W |
2 | 2 | 100% |
6 |
![]() Liechtenstein W |
2 | 1 | 50% |
7 |
![]() Wales W |
0 | 0 | 0% |
8 |
![]() Greece W |
0 | 0 | 0% |
9 |
![]() Faroe Islands W |
0 | 0 | 0% |
10 |
![]() Poland W |
1 | 1 | 100% |
11 |
![]() Philippines Women |
2 | 1 | 50% |
12 |
![]() Finland W |
1 | 0 | 0% |
13 |
![]() New Zealand Women |
3 | 1 | 33% |
14 |
![]() Lebanon W |
2 | 1 | 50% |
15 |
![]() Syria W |
0 | 0 | 0% |
16 |
![]() Mexico W |
5 | 2 | 40% |
17 |
![]() Colombia Women |
3 | 1 | 33% |
18 |
![]() North Macedonia W |
4 | 2 | 50% |
19 |
![]() Paraguay W |
2 | 1 | 50% |
20 |
![]() Turkey W |
2 | 1 | 50% |
21 |
![]() Romania W |
2 | 1 | 50% |
22 |
![]() Cayman Islands W |
0 | 0 | 0% |
23 |
![]() Burkina Faso W |
0 | 0 | 0% |
24 |
![]() United States Women |
7 | 2 | 29% |
25 |
![]() Tunisia W |
4 | 1 | 25% |
26 |
![]() Canada Women |
4 | 2 | 50% |
27 |
![]() Brazil Women |
4 | 2 | 50% |
28 |
![]() Uzbekistan W |
4 | 0 | 0% |
29 |
![]() South Africa Women |
0 | 0 | 0% |
30 |
![]() Taiwan W |
2 | 1 | 50% |
31 |
![]() Congo DR W |
2 | 2 | 100% |
32 |
![]() El Salvador W |
2 | 1 | 50% |
33 |
![]() South Sudan W |
0 | 0 | 0% |
34 |
![]() Mali W |
2 | 0 | 0% |
35 |
![]() Palestine W |
0 | 0 | 0% |
36 |
![]() Myanmar W |
4 | 4 | 100% |
37 |
![]() Belize W |
2 | 0 | 0% |
38 |
![]() Bermuda W |
0 | 0 | 0% |
39 |
![]() Macao W |
0 | 0 | 0% |
40 |
![]() Iceland W |
0 | 0 | 0% |
41 |
![]() Jamaica Women |
2 | 1 | 50% |
42 |
![]() Chile Women |
4 | 1 | 25% |
43 |
![]() UAE W |
2 | 0 | 0% |
44 |
![]() Curaçao W |
2 | 2 | 100% |
45 |
![]() Republic of Ireland Women |
1 | 0 | 0% |
46 |
![]() Malta W |
4 | 3 | 75% |
47 |
![]() Switzerland Women |
4 | 2 | 50% |
48 |
![]() Albania W |
2 | 0 | 0% |
49 |
![]() Bolivia W |
4 | 2 | 50% |
50 |
![]() Australia Women |
7 | 5 | 71% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Gibraltar W |
0 | 0 | 0% |
2 |
![]() Georgia W |
0 | 0 | 0% |
3 |
![]() Maldives W |
1 | 0 | 0% |
4 |
![]() Uruguay W |
4 | 1 | 25% |
5 |
![]() Ecuador W |
5 | 3 | 60% |
6 |
![]() Liechtenstein W |
2 | 2 | 100% |
7 |
![]() Wales W |
1 | 0 | 0% |
8 |
![]() Greece W |
4 | 3 | 75% |
9 |
![]() Faroe Islands W |
2 | 0 | 0% |
10 |
![]() Poland W |
1 | 0 | 0% |
11 |
![]() Philippines Women |
3 | 1 | 33% |
12 |
![]() Finland W |
0 | 0 | 0% |
13 |
![]() New Zealand Women |
2 | 1 | 50% |
14 |
![]() Lebanon W |
0 | 0 | 0% |
15 |
![]() Syria W |
2 | 1 | 50% |
16 |
![]() Mexico W |
4 | 1 | 25% |
17 |
![]() Colombia Women |
5 | 3 | 60% |
18 |
![]() North Macedonia W |
2 | 0 | 0% |
19 |
![]() Paraguay W |
1 | 0 | 0% |
20 |
![]() Turkey W |
0 | 0 | 0% |
21 |
![]() Romania W |
1 | 0 | 0% |
22 |
![]() Cayman Islands W |
2 | 0 | 0% |
23 |
![]() Burkina Faso W |
2 | 0 | 0% |
24 |
![]() United States Women |
2 | 1 | 50% |
25 |
![]() Tunisia W |
0 | 0 | 0% |
26 |
![]() Canada Women |
2 | 2 | 100% |
27 |
![]() Brazil Women |
2 | 2 | 100% |
28 |
![]() Uzbekistan W |
2 | 0 | 0% |
29 |
![]() South Africa Women |
6 | 3 | 50% |
30 |
![]() Taiwan W |
6 | 3 | 50% |
31 |
![]() Congo DR W |
4 | 2 | 50% |
32 |
![]() El Salvador W |
2 | 1 | 50% |
33 |
![]() South Sudan W |
2 | 1 | 50% |
34 |
![]() Mali W |
2 | 1 | 50% |
35 |
![]() Palestine W |
4 | 1 | 25% |
36 |
![]() Myanmar W |
0 | 0 | 0% |
37 |
![]() Belize W |
2 | 0 | 0% |
38 |
![]() Bermuda W |
2 | 0 | 0% |
39 |
![]() Macao W |
1 | 0 | 0% |
40 |
![]() Iceland W |
4 | 2 | 50% |
41 |
![]() Jamaica Women |
5 | 1 | 20% |
42 |
![]() Chile Women |
6 | 5 | 83% |
43 |
![]() UAE W |
0 | 0 | 0% |
44 |
![]() Curaçao W |
2 | 0 | 0% |
45 |
![]() Republic of Ireland Women |
1 | 0 | 0% |
46 |
![]() Malta W |
1 | 0 | 0% |
47 |
![]() Switzerland Women |
2 | 1 | 50% |
48 |
![]() Albania W |
1 | 1 | 100% |
49 |
![]() Bolivia W |
2 | 1 | 50% |
50 |
![]() Australia Women |
3 | 2 | 67% |
This section shows the statistics on how many times Myanmar W and Hong Kong W have both scored and conceded in the same match in the International Friendlies Women.
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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