# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() FC Helsingør |
33 | 12 | 36% |
2 |
![]() Horsens |
33 | 13 | 39% |
3 |
![]() Silkeborg |
33 | 18 | 55% |
4 |
![]() Lyngby |
33 | 17 | 52% |
5 |
![]() Vestsjælland W |
33 | 9 | 27% |
6 |
![]() Vejle |
33 | 17 | 52% |
7 |
![]() Fredericia |
33 | 17 | 52% |
8 |
![]() HB Køge |
33 | 11 | 33% |
9 |
![]() Skive IK |
33 | 18 | 55% |
10 |
![]() Vendsyssel |
33 | 14 | 42% |
11 |
![]() Roskilde W |
33 | 20 | 61% |
12 |
![]() Næstved |
33 | 16 | 48% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() FC Helsingør |
16 | 8 | 50% |
2 |
![]() Horsens |
17 | 7 | 41% |
3 |
![]() Silkeborg |
17 | 8 | 47% |
4 |
![]() Lyngby |
17 | 8 | 47% |
5 |
![]() Vestsjælland W |
17 | 2 | 12% |
6 |
![]() Vejle |
17 | 11 | 65% |
7 |
![]() Fredericia |
16 | 8 | 50% |
8 |
![]() HB Køge |
16 | 7 | 44% |
9 |
![]() Skive IK |
16 | 7 | 44% |
10 |
![]() Vendsyssel |
17 | 8 | 47% |
11 |
![]() Roskilde W |
16 | 9 | 56% |
12 |
![]() Næstved |
16 | 8 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() FC Helsingør |
17 | 4 | 24% |
2 |
![]() Horsens |
16 | 6 | 38% |
3 |
![]() Silkeborg |
16 | 10 | 63% |
4 |
![]() Lyngby |
16 | 9 | 56% |
5 |
![]() Vestsjælland W |
16 | 7 | 44% |
6 |
![]() Vejle |
16 | 6 | 38% |
7 |
![]() Fredericia |
17 | 9 | 53% |
8 |
![]() HB Køge |
17 | 4 | 24% |
9 |
![]() Skive IK |
17 | 11 | 65% |
10 |
![]() Vendsyssel |
16 | 6 | 38% |
11 |
![]() Roskilde W |
17 | 11 | 65% |
12 |
![]() Næstved |
17 | 8 | 47% |
This section shows the statistics on how many times Horsens and Vestsjælland 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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