# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() South Africa Women |
4 | 3 | 75% |
2 |
![]() England Women |
7 | 3 | 43% |
3 |
![]() France Women |
5 | 2 | 40% |
4 |
![]() Sweden Women |
7 | 3 | 43% |
5 |
![]() Spain Women |
7 | 3 | 43% |
6 |
![]() Jamaica Women |
4 | 0 | 0% |
7 |
![]() Norway Women |
4 | 1 | 25% |
8 |
![]() Argentina Women |
3 | 1 | 33% |
9 |
![]() Australia Women |
7 | 2 | 29% |
10 |
![]() Brazil Women |
3 | 1 | 33% |
11 |
![]() Italy Women |
3 | 1 | 33% |
12 |
![]() Germany Women |
3 | 2 | 67% |
13 |
![]() Netherlands Women |
5 | 2 | 40% |
14 |
![]() Nigeria Women |
4 | 1 | 25% |
15 |
![]() Japan Women |
5 | 2 | 40% |
16 |
![]() China Women |
3 | 1 | 33% |
17 |
![]() Canada Women |
3 | 1 | 33% |
18 |
![]() United States Women |
4 | 1 | 25% |
19 |
![]() New Zealand Women |
3 | 0 | 0% |
20 |
![]() South Korea Women |
3 | 1 | 33% |
21 |
![]() Philippines Women |
3 | 0 | 0% |
22 |
![]() Vietnam Women |
3 | 0 | 0% |
23 |
![]() Denmark Women |
4 | 0 | 0% |
24 |
![]() Republic of Ireland Women |
3 | 1 | 33% |
25 |
![]() Switzerland Women |
4 | 1 | 25% |
26 |
![]() Portugal Women |
3 | 0 | 0% |
27 |
![]() team.Zambia W |
3 | 1 | 33% |
28 |
![]() Colombia Women |
5 | 2 | 40% |
29 |
![]() Panama Women |
3 | 1 | 33% |
30 |
![]() Morocco Women |
4 | 0 | 0% |
31 |
![]() Costa Rica Women |
3 | 1 | 33% |
32 |
![]() Haiti Women |
3 | 0 | 0% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() South Africa Women |
1 | 1 | 100% |
2 |
![]() England Women |
4 | 1 | 25% |
3 |
![]() France Women |
3 | 1 | 33% |
4 |
![]() Sweden Women |
4 | 1 | 25% |
5 |
![]() Spain Women |
5 | 2 | 40% |
6 |
![]() Jamaica Women |
1 | 0 | 0% |
7 |
![]() Norway Women |
1 | 0 | 0% |
8 |
![]() Argentina Women |
2 | 1 | 50% |
9 |
![]() Australia Women |
5 | 2 | 40% |
10 |
![]() Brazil Women |
1 | 0 | 0% |
11 |
![]() Italy Women |
1 | 0 | 0% |
12 |
![]() Germany Women |
2 | 1 | 50% |
13 |
![]() Netherlands Women |
2 | 0 | 0% |
14 |
![]() Nigeria Women |
1 | 0 | 0% |
15 |
![]() Japan Women |
4 | 2 | 50% |
16 |
![]() China Women |
2 | 1 | 50% |
17 |
![]() Canada Women |
2 | 1 | 50% |
18 |
![]() United States Women |
2 | 1 | 50% |
19 |
![]() New Zealand Women |
2 | 0 | 0% |
20 |
![]() South Korea Women |
2 | 1 | 50% |
21 |
![]() Philippines Women |
1 | 0 | 0% |
22 |
![]() Vietnam Women |
1 | 0 | 0% |
23 |
![]() Denmark Women |
1 | 0 | 0% |
24 |
![]() Republic of Ireland Women |
1 | 0 | 0% |
25 |
![]() Switzerland Women |
3 | 1 | 33% |
26 |
![]() Portugal Women |
2 | 0 | 0% |
27 |
![]() team.Zambia W |
1 | 0 | 0% |
28 |
![]() Colombia Women |
2 | 0 | 0% |
29 |
![]() Panama Women |
2 | 1 | 50% |
30 |
![]() Morocco Women |
1 | 0 | 0% |
31 |
![]() Costa Rica Women |
1 | 1 | 100% |
32 |
![]() Haiti Women |
1 | 0 | 0% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() South Africa Women |
3 | 2 | 67% |
2 |
![]() England Women |
3 | 2 | 67% |
3 |
![]() France Women |
2 | 1 | 50% |
4 |
![]() Sweden Women |
3 | 2 | 67% |
5 |
![]() Spain Women |
2 | 1 | 50% |
6 |
![]() Jamaica Women |
3 | 0 | 0% |
7 |
![]() Norway Women |
3 | 1 | 33% |
8 |
![]() Argentina Women |
1 | 0 | 0% |
9 |
![]() Australia Women |
2 | 0 | 0% |
10 |
![]() Brazil Women |
2 | 1 | 50% |
11 |
![]() Italy Women |
2 | 1 | 50% |
12 |
![]() Germany Women |
1 | 1 | 100% |
13 |
![]() Netherlands Women |
3 | 2 | 67% |
14 |
![]() Nigeria Women |
3 | 1 | 33% |
15 |
![]() Japan Women |
1 | 0 | 0% |
16 |
![]() China Women |
1 | 0 | 0% |
17 |
![]() Canada Women |
1 | 0 | 0% |
18 |
![]() United States Women |
2 | 0 | 0% |
19 |
![]() New Zealand Women |
1 | 0 | 0% |
20 |
![]() South Korea Women |
1 | 0 | 0% |
21 |
![]() Philippines Women |
2 | 0 | 0% |
22 |
![]() Vietnam Women |
2 | 0 | 0% |
23 |
![]() Denmark Women |
3 | 0 | 0% |
24 |
![]() Republic of Ireland Women |
2 | 1 | 50% |
25 |
![]() Switzerland Women |
1 | 0 | 0% |
26 |
![]() Portugal Women |
1 | 0 | 0% |
27 |
![]() team.Zambia W |
2 | 1 | 50% |
28 |
![]() Colombia Women |
3 | 2 | 67% |
29 |
![]() Panama Women |
1 | 0 | 0% |
30 |
![]() Morocco Women |
3 | 0 | 0% |
31 |
![]() Costa Rica Women |
2 | 0 | 0% |
32 |
![]() Haiti Women |
2 | 0 | 0% |
This section shows the statistics on how many times Spain Women and team.Zambia W have both scored and conceded in the same match in the Women's World Cup.
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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