# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() AaB |
32 | 23 | 72% |
2 |
![]() FC Helsingør |
32 | 19 | 59% |
3 |
![]() SønderjyskE |
32 | 16 | 50% |
4 |
![]() Horsens |
32 | 16 | 50% |
5 |
![]() Hobro |
32 | 19 | 59% |
6 |
![]() Fredericia |
32 | 15 | 47% |
7 |
![]() HB Køge |
32 | 18 | 56% |
8 |
![]() Vendsyssel |
32 | 19 | 59% |
9 |
![]() Næstved |
32 | 19 | 59% |
10 |
![]() B 93 |
32 | 12 | 38% |
11 |
![]() Kolding IF |
32 | 21 | 66% |
12 |
![]() Hillerød |
32 | 17 | 53% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() AaB |
16 | 10 | 63% |
2 |
![]() FC Helsingør |
16 | 10 | 63% |
3 |
![]() SønderjyskE |
16 | 5 | 31% |
4 |
![]() Horsens |
16 | 10 | 63% |
5 |
![]() Hobro |
16 | 11 | 69% |
6 |
![]() Fredericia |
16 | 7 | 44% |
7 |
![]() HB Køge |
16 | 9 | 56% |
8 |
![]() Vendsyssel |
16 | 12 | 75% |
9 |
![]() Næstved |
16 | 10 | 63% |
10 |
![]() B 93 |
16 | 7 | 44% |
11 |
![]() Kolding IF |
16 | 9 | 56% |
12 |
![]() Hillerød |
16 | 7 | 44% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() AaB |
16 | 13 | 81% |
2 |
![]() FC Helsingør |
16 | 9 | 56% |
3 |
![]() SønderjyskE |
16 | 11 | 69% |
4 |
![]() Horsens |
16 | 6 | 38% |
5 |
![]() Hobro |
16 | 8 | 50% |
6 |
![]() Fredericia |
16 | 8 | 50% |
7 |
![]() HB Køge |
16 | 9 | 56% |
8 |
![]() Vendsyssel |
16 | 7 | 44% |
9 |
![]() Næstved |
16 | 9 | 56% |
10 |
![]() B 93 |
16 | 5 | 31% |
11 |
![]() Kolding IF |
16 | 12 | 75% |
12 |
![]() Hillerød |
16 | 10 | 63% |
This section shows the statistics on how many times Kolding IF and B 93 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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