# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() AaB |
7 | 2 | 29% |
2 |
![]() Horsens |
7 | 1 | 14% |
3 |
![]() Hobro |
6 | 2 | 33% |
4 |
![]() Lyngby |
7 | 4 | 57% |
5 |
![]() Esbjerg |
6 | 2 | 33% |
6 |
![]() HB Køge |
7 | 4 | 57% |
7 |
![]() Hvidovre |
7 | 4 | 57% |
8 |
![]() B 93 |
7 | 5 | 71% |
9 |
![]() Middelfart |
7 | 4 | 57% |
10 |
![]() Kolding IF |
7 | 4 | 57% |
11 |
![]() Aarhus Fremad W |
7 | 4 | 57% |
12 |
![]() Hillerød |
7 | 6 | 86% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() AaB |
3 | 1 | 33% |
2 |
![]() Horsens |
3 | 1 | 33% |
3 |
![]() Hobro |
3 | 1 | 33% |
4 |
![]() Lyngby |
4 | 3 | 75% |
5 |
![]() Esbjerg |
4 | 1 | 25% |
6 |
![]() HB Køge |
4 | 1 | 25% |
7 |
![]() Hvidovre |
4 | 2 | 50% |
8 |
![]() B 93 |
3 | 2 | 67% |
9 |
![]() Middelfart |
3 | 2 | 67% |
10 |
![]() Kolding IF |
3 | 2 | 67% |
11 |
![]() Aarhus Fremad W |
3 | 2 | 67% |
12 |
![]() Hillerød |
4 | 3 | 75% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() AaB |
4 | 1 | 25% |
2 |
![]() Horsens |
4 | 0 | 0% |
3 |
![]() Hobro |
3 | 1 | 33% |
4 |
![]() Lyngby |
3 | 1 | 33% |
5 |
![]() Esbjerg |
2 | 1 | 50% |
6 |
![]() HB Køge |
3 | 3 | 100% |
7 |
![]() Hvidovre |
3 | 2 | 67% |
8 |
![]() B 93 |
4 | 3 | 75% |
9 |
![]() Middelfart |
4 | 2 | 50% |
10 |
![]() Kolding IF |
4 | 2 | 50% |
11 |
![]() Aarhus Fremad W |
4 | 2 | 50% |
12 |
![]() Hillerød |
3 | 3 | 100% |
This section shows the statistics on how many times Hobro and Aarhus Fremad W have both scored and conceded in the same match in the 1st Division.
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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