# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() FK Bodo/Glimt |
30 | 18 | 60% |
2 |
![]() Start |
30 | 22 | 73% |
3 |
![]() Mjondalen |
30 | 18 | 60% |
4 |
![]() Tromsdalen |
30 | 21 | 70% |
5 |
![]() Strømmen |
30 | 16 | 53% |
6 |
![]() Elverum |
30 | 14 | 47% |
7 |
![]() Åsane |
30 | 18 | 60% |
8 |
![]() Ullensaker - Kisa IL |
30 | 19 | 63% |
9 |
![]() Florø |
30 | 18 | 60% |
10 |
![]() Arendal |
30 | 18 | 60% |
11 |
![]() Ranheim |
30 | 19 | 63% |
12 |
![]() Levanger |
30 | 17 | 57% |
13 |
![]() Kongsvinger |
30 | 17 | 57% |
14 |
![]() Jerv |
30 | 20 | 67% |
15 |
![]() Fredrikstad |
30 | 21 | 70% |
16 |
![]() Sandnes Ulf |
30 | 12 | 40% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() FK Bodo/Glimt |
15 | 7 | 47% |
2 |
![]() Start |
15 | 11 | 73% |
3 |
![]() Mjondalen |
15 | 10 | 67% |
4 |
![]() Tromsdalen |
15 | 12 | 80% |
5 |
![]() Strømmen |
15 | 10 | 67% |
6 |
![]() Elverum |
15 | 8 | 53% |
7 |
![]() Åsane |
15 | 11 | 73% |
8 |
![]() Ullensaker - Kisa IL |
15 | 8 | 53% |
9 |
![]() Florø |
15 | 11 | 73% |
10 |
![]() Arendal |
15 | 7 | 47% |
11 |
![]() Ranheim |
15 | 9 | 60% |
12 |
![]() Levanger |
15 | 8 | 53% |
13 |
![]() Kongsvinger |
15 | 8 | 53% |
14 |
![]() Jerv |
15 | 9 | 60% |
15 |
![]() Fredrikstad |
15 | 11 | 73% |
16 |
![]() Sandnes Ulf |
15 | 4 | 27% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() FK Bodo/Glimt |
15 | 11 | 73% |
2 |
![]() Start |
15 | 11 | 73% |
3 |
![]() Mjondalen |
15 | 8 | 53% |
4 |
![]() Tromsdalen |
15 | 9 | 60% |
5 |
![]() Strømmen |
15 | 6 | 40% |
6 |
![]() Elverum |
15 | 6 | 40% |
7 |
![]() Åsane |
15 | 7 | 47% |
8 |
![]() Ullensaker - Kisa IL |
15 | 11 | 73% |
9 |
![]() Florø |
15 | 7 | 47% |
10 |
![]() Arendal |
15 | 11 | 73% |
11 |
![]() Ranheim |
15 | 10 | 67% |
12 |
![]() Levanger |
15 | 9 | 60% |
13 |
![]() Kongsvinger |
15 | 9 | 60% |
14 |
![]() Jerv |
15 | 11 | 73% |
15 |
![]() Fredrikstad |
15 | 10 | 67% |
16 |
![]() Sandnes Ulf |
15 | 8 | 53% |
This section shows the statistics on how many times Fredrikstad and FK Bodo/Glimt have both scored and conceded in the same match in the First 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
Switch to
Would you like to change to ?
Login or Signup to add to favourites
You can login with social media
Not registered yet? Create an Account.