Season
2022
Country
Sweden
Stadium
Valhalla IP
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Gefle | 30 | 16 | 53% |
2 | Falkenberg | 30 | 12 | 40% |
3 | Åtvidaberg | 30 | 14 | 47% |
4 | GAIS | 30 | 13 | 43% |
5 | Ängelholm | 30 | 19 | 63% |
6 | Ljungskile | 30 | 16 | 53% |
7 | Vasalund | 30 | 20 | 67% |
8 | Oskarshamns AIK | 30 | 11 | 37% |
9 | Oddevold | 30 | 10 | 33% |
10 | Umeå | 30 | 18 | 60% |
11 | Team Thoren | 30 | 13 | 43% |
12 | Sollentuna | 30 | 20 | 67% |
13 | Sandviken | 30 | 20 | 67% |
14 | Qviding FIF | 30 | 17 | 57% |
15 | Piteå | 30 | 24 | 80% |
16 | Motala | 30 | 20 | 67% |
17 | Torns | 30 | 14 | 47% |
18 | Haninge | 30 | 17 | 57% |
19 | Trollhättan | 30 | 13 | 43% |
20 | Lindome | 30 | 20 | 67% |
21 | Sylvia | 30 | 14 | 47% |
22 | Forward | 30 | 17 | 57% |
23 | IFK Malmö | 30 | 16 | 53% |
24 | Tvååker | 30 | 13 | 43% |
25 | Vänersborgs IF | 30 | 17 | 57% |
26 | Lund | 30 | 16 | 53% |
27 | Örebro Syrianska | 30 | 23 | 77% |
28 | Olympic | 30 | 19 | 63% |
29 | Täby | 30 | 17 | 57% |
30 | Stockholm Internazionale | 30 | 21 | 70% |
31 | IF Karlstad | 30 | 19 | 63% |
32 | Hammarby Talang | 30 | 17 | 57% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Gefle | 15 | 8 | 53% |
2 | Falkenberg | 15 | 4 | 27% |
3 | Åtvidaberg | 15 | 6 | 40% |
4 | GAIS | 15 | 7 | 47% |
5 | Ängelholm | 15 | 11 | 73% |
6 | Ljungskile | 15 | 8 | 53% |
7 | Vasalund | 15 | 10 | 67% |
8 | Oskarshamns AIK | 15 | 7 | 47% |
9 | Oddevold | 15 | 3 | 20% |
10 | Umeå | 15 | 9 | 60% |
11 | Team Thoren | 15 | 9 | 60% |
12 | Sollentuna | 15 | 10 | 67% |
13 | Sandviken | 15 | 10 | 67% |
14 | Qviding FIF | 15 | 9 | 60% |
15 | Piteå | 15 | 11 | 73% |
16 | Motala | 15 | 11 | 73% |
17 | Torns | 15 | 8 | 53% |
18 | Haninge | 15 | 8 | 53% |
19 | Trollhättan | 15 | 8 | 53% |
20 | Lindome | 15 | 10 | 67% |
21 | Sylvia | 15 | 8 | 53% |
22 | Forward | 15 | 6 | 40% |
23 | IFK Malmö | 15 | 9 | 60% |
24 | Tvååker | 15 | 5 | 33% |
25 | Vänersborgs IF | 15 | 9 | 60% |
26 | Lund | 15 | 6 | 40% |
27 | Örebro Syrianska | 15 | 12 | 80% |
28 | Olympic | 15 | 10 | 67% |
29 | Täby | 15 | 7 | 47% |
30 | Stockholm Internazionale | 15 | 12 | 80% |
31 | IF Karlstad | 15 | 9 | 60% |
32 | Hammarby Talang | 15 | 8 | 53% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Gefle | 15 | 8 | 53% |
2 | Falkenberg | 15 | 8 | 53% |
3 | Åtvidaberg | 15 | 8 | 53% |
4 | GAIS | 15 | 6 | 40% |
5 | Ängelholm | 15 | 8 | 53% |
6 | Ljungskile | 15 | 8 | 53% |
7 | Vasalund | 15 | 10 | 67% |
8 | Oskarshamns AIK | 15 | 4 | 27% |
9 | Oddevold | 15 | 7 | 47% |
10 | Umeå | 15 | 9 | 60% |
11 | Team Thoren | 15 | 4 | 27% |
12 | Sollentuna | 15 | 10 | 67% |
13 | Sandviken | 15 | 10 | 67% |
14 | Qviding FIF | 15 | 8 | 53% |
15 | Piteå | 15 | 13 | 87% |
16 | Motala | 15 | 9 | 60% |
17 | Torns | 15 | 6 | 40% |
18 | Haninge | 15 | 9 | 60% |
19 | Trollhättan | 15 | 5 | 33% |
20 | Lindome | 15 | 10 | 67% |
21 | Sylvia | 15 | 6 | 40% |
22 | Forward | 15 | 11 | 73% |
23 | IFK Malmö | 15 | 7 | 47% |
24 | Tvååker | 15 | 8 | 53% |
25 | Vänersborgs IF | 15 | 8 | 53% |
26 | Lund | 15 | 10 | 67% |
27 | Örebro Syrianska | 15 | 11 | 73% |
28 | Olympic | 15 | 9 | 60% |
29 | Täby | 15 | 10 | 67% |
30 | Stockholm Internazionale | 15 | 9 | 60% |
31 | IF Karlstad | 15 | 10 | 67% |
32 | Hammarby Talang | 15 | 9 | 60% |
The both teams scoring stat is the number of times a team has both scored and conceded a goal in a match. This stat is helpful in determining whether a match has the potential to be a high-scoring affair.
And in Qviding FIF’s case, their BTTS statistics in the Division 1 2022 provide some interesting insights about their offence and defence. Here are the relevant BTTS stats on Qviding FIF in the competition:
You can also see Qviding FIF’s BTTS stats filtered in terms of where they play, whether it’s at home or away, as well as overall, for a more comprehensive view of the stat all season long.
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