# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Aalborg Chang W |
1 | 0 | 0% |
2 |
![]() Brønshøj W |
3 | 2 | 67% |
3 |
![]() FC Helsingør |
3 | 1 | 33% |
4 |
![]() Horsens |
2 | 0 | 0% |
5 |
![]() OB |
1 | 0 | 0% |
6 |
![]() Hobro |
2 | 1 | 50% |
7 |
![]() Esbjerg |
4 | 2 | 50% |
8 |
![]() ESPM |
1 | 0 | 0% |
9 |
![]() Solrød |
2 | 1 | 50% |
10 |
![]() Gug W |
1 | 0 | 0% |
11 |
![]() Give Fremad |
2 | 1 | 50% |
12 |
![]() AB Tårnby W |
1 | 1 | 100% |
13 |
![]() NB Bornholm W |
2 | 1 | 50% |
14 |
![]() Ishøj |
3 | 2 | 67% |
15 |
![]() Viborg |
7 | 3 | 43% |
16 |
![]() Brøndby |
6 | 3 | 50% |
17 |
![]() FB |
1 | 0 | 0% |
18 |
![]() LUIF |
1 | 0 | 0% |
19 |
![]() Hørsholm-Usserød |
2 | 1 | 50% |
20 |
![]() NFB |
1 | 0 | 0% |
21 |
![]() Silkeborg |
6 | 5 | 83% |
22 |
![]() Allerød FK W |
2 | 0 | 0% |
23 |
![]() Svebølle B&I W |
1 | 0 | 0% |
24 |
![]() FC Nakskov |
1 | 1 | 100% |
25 |
![]() OKS |
2 | 1 | 50% |
26 |
![]() Silkeborg KFUM |
2 | 2 | 100% |
27 |
![]() SGI W |
2 | 2 | 100% |
28 |
![]() ASA Aarhus |
1 | 1 | 100% |
29 |
![]() Aalborg Freja W |
1 | 1 | 100% |
30 |
![]() Nørresundby |
1 | 1 | 100% |
31 |
![]() Ringsted W |
1 | 1 | 100% |
32 |
![]() Karlslunde |
1 | 0 | 0% |
33 |
![]() B 1909 |
2 | 1 | 50% |
34 |
![]() Fremad Amager |
3 | 1 | 33% |
35 |
![]() Fredericia |
3 | 2 | 67% |
36 |
![]() Thisted Women |
2 | 1 | 50% |
37 |
![]() Brabrand Women |
6 | 3 | 50% |
38 |
![]() HB Køge |
3 | 1 | 33% |
39 |
![]() Skive IK |
4 | 1 | 25% |
40 |
![]() Vendsyssel |
3 | 1 | 33% |
41 |
![]() Nykøbing |
2 | 1 | 50% |
42 |
![]() Hvidovre |
3 | 3 | 100% |
43 |
![]() B 93 |
3 | 2 | 67% |
44 |
![]() Kjellerup W |
1 | 0 | 0% |
45 |
![]() HIK W |
1 | 0 | 0% |
46 |
![]() Dalum |
1 | 1 | 100% |
47 |
![]() VSK Århus |
3 | 1 | 33% |
48 |
![]() Middelfart |
3 | 2 | 67% |
49 |
![]() Avarta W |
3 | 2 | 67% |
50 |
![]() Gørslev |
2 | 2 | 100% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Aalborg Chang W |
1 | 0 | 0% |
2 |
![]() Brønshøj W |
2 | 1 | 50% |
3 |
![]() FC Helsingør |
0 | 0 | 0% |
4 |
![]() Horsens |
1 | 0 | 0% |
5 |
![]() OB |
0 | 0 | 0% |
6 |
![]() Hobro |
0 | 0 | 0% |
7 |
![]() Esbjerg |
1 | 0 | 0% |
8 |
![]() ESPM |
1 | 0 | 0% |
9 |
![]() Solrød |
2 | 1 | 50% |
10 |
![]() Gug W |
1 | 0 | 0% |
11 |
![]() Give Fremad |
1 | 0 | 0% |
12 |
![]() AB Tårnby W |
1 | 1 | 100% |
13 |
![]() NB Bornholm W |
2 | 1 | 50% |
14 |
![]() Ishøj |
1 | 1 | 100% |
15 |
![]() Viborg |
2 | 0 | 0% |
16 |
![]() Brøndby |
3 | 2 | 67% |
17 |
![]() FB |
1 | 0 | 0% |
18 |
![]() LUIF |
1 | 0 | 0% |
19 |
![]() Hørsholm-Usserød |
1 | 1 | 100% |
20 |
![]() NFB |
1 | 0 | 0% |
21 |
![]() Silkeborg |
2 | 2 | 100% |
22 |
![]() Allerød FK W |
1 | 0 | 0% |
23 |
![]() Svebølle B&I W |
1 | 0 | 0% |
24 |
![]() FC Nakskov |
0 | 0 | 0% |
25 |
![]() OKS |
1 | 1 | 100% |
26 |
![]() Silkeborg KFUM |
1 | 1 | 100% |
27 |
![]() SGI W |
1 | 1 | 100% |
28 |
![]() ASA Aarhus |
1 | 1 | 100% |
29 |
![]() Aalborg Freja W |
1 | 1 | 100% |
30 |
![]() Nørresundby |
1 | 1 | 100% |
31 |
![]() Ringsted W |
1 | 1 | 100% |
32 |
![]() Karlslunde |
1 | 0 | 0% |
33 |
![]() B 1909 |
2 | 1 | 50% |
34 |
![]() Fremad Amager |
1 | 0 | 0% |
35 |
![]() Fredericia |
1 | 1 | 100% |
36 |
![]() Thisted Women |
0 | 0 | 0% |
37 |
![]() Brabrand Women |
4 | 2 | 50% |
38 |
![]() HB Køge |
1 | 0 | 0% |
39 |
![]() Skive IK |
2 | 1 | 50% |
40 |
![]() Vendsyssel |
1 | 0 | 0% |
41 |
![]() Nykøbing |
1 | 1 | 100% |
42 |
![]() Hvidovre |
1 | 1 | 100% |
43 |
![]() B 93 |
0 | 0 | 0% |
44 |
![]() Kjellerup W |
1 | 0 | 0% |
45 |
![]() HIK W |
1 | 0 | 0% |
46 |
![]() Dalum |
0 | 0 | 0% |
47 |
![]() VSK Århus |
2 | 1 | 50% |
48 |
![]() Middelfart |
3 | 2 | 67% |
49 |
![]() Avarta W |
1 | 1 | 100% |
50 |
![]() Gørslev |
2 | 2 | 100% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Aalborg Chang W |
0 | 0 | 0% |
2 |
![]() Brønshøj W |
1 | 1 | 100% |
3 |
![]() FC Helsingør |
3 | 1 | 33% |
4 |
![]() Horsens |
1 | 0 | 0% |
5 |
![]() OB |
1 | 0 | 0% |
6 |
![]() Hobro |
2 | 1 | 50% |
7 |
![]() Esbjerg |
3 | 2 | 67% |
8 |
![]() ESPM |
0 | 0 | 0% |
9 |
![]() Solrød |
0 | 0 | 0% |
10 |
![]() Gug W |
0 | 0 | 0% |
11 |
![]() Give Fremad |
1 | 1 | 100% |
12 |
![]() AB Tårnby W |
0 | 0 | 0% |
13 |
![]() NB Bornholm W |
0 | 0 | 0% |
14 |
![]() Ishøj |
2 | 1 | 50% |
15 |
![]() Viborg |
5 | 3 | 60% |
16 |
![]() Brøndby |
3 | 1 | 33% |
17 |
![]() FB |
0 | 0 | 0% |
18 |
![]() LUIF |
0 | 0 | 0% |
19 |
![]() Hørsholm-Usserød |
1 | 0 | 0% |
20 |
![]() NFB |
0 | 0 | 0% |
21 |
![]() Silkeborg |
4 | 3 | 75% |
22 |
![]() Allerød FK W |
1 | 0 | 0% |
23 |
![]() Svebølle B&I W |
0 | 0 | 0% |
24 |
![]() FC Nakskov |
1 | 1 | 100% |
25 |
![]() OKS |
1 | 0 | 0% |
26 |
![]() Silkeborg KFUM |
1 | 1 | 100% |
27 |
![]() SGI W |
1 | 1 | 100% |
28 |
![]() ASA Aarhus |
0 | 0 | 0% |
29 |
![]() Aalborg Freja W |
0 | 0 | 0% |
30 |
![]() Nørresundby |
0 | 0 | 0% |
31 |
![]() Ringsted W |
0 | 0 | 0% |
32 |
![]() Karlslunde |
0 | 0 | 0% |
33 |
![]() B 1909 |
0 | 0 | 0% |
34 |
![]() Fremad Amager |
2 | 1 | 50% |
35 |
![]() Fredericia |
2 | 1 | 50% |
36 |
![]() Thisted Women |
2 | 1 | 50% |
37 |
![]() Brabrand Women |
2 | 1 | 50% |
38 |
![]() HB Køge |
2 | 1 | 50% |
39 |
![]() Skive IK |
2 | 0 | 0% |
40 |
![]() Vendsyssel |
2 | 1 | 50% |
41 |
![]() Nykøbing |
1 | 0 | 0% |
42 |
![]() Hvidovre |
2 | 2 | 100% |
43 |
![]() B 93 |
3 | 2 | 67% |
44 |
![]() Kjellerup W |
0 | 0 | 0% |
45 |
![]() HIK W |
0 | 0 | 0% |
46 |
![]() Dalum |
1 | 1 | 100% |
47 |
![]() VSK Århus |
1 | 0 | 0% |
48 |
![]() Middelfart |
0 | 0 | 0% |
49 |
![]() Avarta W |
2 | 1 | 50% |
50 |
![]() Gørslev |
0 | 0 | 0% |
This section shows the statistics on how many times Holbæk B&I and AB W have both scored and conceded in the same match in the Danish 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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