Season
2022
Country
Sweden
Stadium
Östgötaporten
# | Team | MP | Over 3.5 | Over 4.5 | Over 5.5 |
---|---|---|---|---|---|
1 | Gefle | 30 | 63% | 50% | 37% |
2 | Falkenberg | 30 | 37% | 23% | 13% |
3 | Åtvidaberg | 30 | 30% | 17% | 3% |
4 | GAIS | 30 | 60% | 43% | 23% |
5 | Ängelholm | 30 | 40% | 7% | 3% |
6 | Ljungskile | 30 | 33% | 13% | 0% |
7 | Vasalund | 30 | 60% | 43% | 27% |
8 | Oskarshamns AIK | 30 | 47% | 37% | 17% |
9 | Oddevold | 30 | 33% | 20% | 17% |
10 | Umeå | 30 | 50% | 37% | 20% |
11 | Team Thoren | 30 | 20% | 7% | 0% |
12 | Sollentuna | 30 | 63% | 47% | 27% |
13 | Sandviken | 30 | 50% | 43% | 20% |
14 | Qviding FIF | 30 | 53% | 40% | 23% |
15 | Piteå | 30 | 47% | 30% | 13% |
16 | Motala | 30 | 40% | 23% | 10% |
17 | Torns | 30 | 43% | 27% | 13% |
18 | Haninge | 30 | 57% | 30% | 17% |
19 | Trollhättan | 30 | 47% | 30% | 20% |
20 | Lindome | 30 | 37% | 20% | 7% |
21 | Sylvia | 30 | 27% | 17% | 7% |
22 | Forward | 30 | 43% | 23% | 13% |
23 | IFK Malmö | 30 | 33% | 27% | 10% |
24 | Tvååker | 30 | 27% | 17% | 7% |
25 | Vänersborgs IF | 30 | 47% | 30% | 17% |
26 | Lund | 30 | 33% | 17% | 7% |
27 | Örebro Syrianska | 30 | 67% | 50% | 37% |
28 | Olympic | 30 | 53% | 33% | 27% |
29 | Täby | 30 | 43% | 33% | 17% |
30 | Stockholm Internazionale | 30 | 40% | 33% | 20% |
31 | IF Karlstad | 30 | 20% | 17% | 17% |
32 | Hammarby Talang | 30 | 23% | 17% | 7% |
# | Team | MP | Over 1.5 | Over 2.5 | Over 3.5 |
---|---|---|---|---|---|
1 | Gefle | 30 | 53% | 33% | 13% |
2 | Falkenberg | 30 | 33% | 13% | 3% |
3 | Åtvidaberg | 30 | 50% | 17% | 7% |
4 | GAIS | 30 | 47% | 23% | 10% |
5 | Ängelholm | 30 | 47% | 20% | 0% |
6 | Ljungskile | 30 | 40% | 20% | 3% |
7 | Vasalund | 30 | 67% | 37% | 20% |
8 | Oskarshamns AIK | 30 | 53% | 30% | 17% |
9 | Oddevold | 30 | 43% | 27% | 7% |
10 | Umeå | 30 | 40% | 27% | 13% |
11 | Team Thoren | 30 | 50% | 13% | 0% |
12 | Sollentuna | 30 | 47% | 23% | 17% |
13 | Sandviken | 30 | 43% | 23% | 13% |
14 | Qviding FIF | 30 | 67% | 33% | 23% |
15 | Piteå | 30 | 37% | 30% | 13% |
16 | Motala | 30 | 47% | 20% | 10% |
17 | Torns | 30 | 67% | 23% | 3% |
18 | Haninge | 30 | 73% | 43% | 10% |
19 | Trollhättan | 30 | 40% | 23% | 10% |
20 | Lindome | 30 | 40% | 17% | 0% |
21 | Sylvia | 30 | 30% | 7% | 0% |
22 | Forward | 30 | 70% | 37% | 17% |
23 | IFK Malmö | 30 | 30% | 10% | 3% |
24 | Tvååker | 30 | 30% | 10% | 7% |
25 | Vänersborgs IF | 30 | 67% | 43% | 20% |
26 | Lund | 30 | 40% | 20% | 3% |
27 | Örebro Syrianska | 30 | 77% | 40% | 33% |
28 | Olympic | 30 | 63% | 30% | 13% |
29 | Täby | 30 | 53% | 33% | 13% |
30 | Stockholm Internazionale | 30 | 50% | 33% | 20% |
31 | IF Karlstad | 30 | 37% | 30% | 10% |
32 | Hammarby Talang | 30 | 37% | 17% | 10% |
# | Team | MP | Over 1.5 | Over 2.5 | Over 3.5 |
---|---|---|---|---|---|
1 | Gefle | 30 | 73% | 37% | 30% |
2 | Falkenberg | 30 | 60% | 33% | 7% |
3 | Åtvidaberg | 30 | 33% | 10% | 7% |
4 | GAIS | 30 | 73% | 43% | 17% |
5 | Ängelholm | 30 | 33% | 17% | 3% |
6 | Ljungskile | 30 | 40% | 10% | 3% |
7 | Vasalund | 30 | 60% | 47% | 13% |
8 | Oskarshamns AIK | 30 | 43% | 20% | 7% |
9 | Oddevold | 30 | 53% | 27% | 10% |
10 | Umeå | 30 | 57% | 30% | 13% |
11 | Team Thoren | 30 | 27% | 3% | 0% |
12 | Sollentuna | 30 | 70% | 47% | 20% |
13 | Sandviken | 30 | 70% | 43% | 30% |
14 | Qviding FIF | 30 | 57% | 27% | 10% |
15 | Piteå | 30 | 57% | 33% | 17% |
16 | Motala | 30 | 53% | 27% | 10% |
17 | Torns | 30 | 43% | 27% | 10% |
18 | Haninge | 30 | 50% | 27% | 10% |
19 | Trollhättan | 30 | 60% | 30% | 20% |
20 | Lindome | 30 | 50% | 10% | 3% |
21 | Sylvia | 30 | 40% | 33% | 7% |
22 | Forward | 30 | 33% | 7% | 3% |
23 | IFK Malmö | 30 | 47% | 33% | 17% |
24 | Tvååker | 30 | 33% | 13% | 3% |
25 | Vänersborgs IF | 30 | 40% | 17% | 3% |
26 | Lund | 30 | 43% | 7% | 0% |
27 | Örebro Syrianska | 30 | 47% | 20% | 20% |
28 | Olympic | 30 | 47% | 37% | 10% |
29 | Täby | 30 | 47% | 27% | 10% |
30 | Stockholm Internazionale | 30 | 47% | 27% | 17% |
31 | IF Karlstad | 30 | 23% | 17% | 7% |
32 | Hammarby Talang | 30 | 57% | 23% | 7% |
Card statistics provide a unique insight into the team’s strategy or mentality in matches. A team that picks up a host of cards might be more aggressive than the average team defensively and is more prone to committing fouls due to their tough challenges. It’s also possible that a team that keeps getting booked may have a bit of a disciplinary problem.
In the case of Sylvia’s cards statistics, they have received 3 or more cards in 7% of their games played so far in the Division 1 2022.
And on the other side of the ball, Sylvia’s opponents take 2 or more cards in 40% of their Division 1 matches.
Here are two more card statistics for Sylvia this season in the Division 1:
You can follow the Sylvia’s card situation in Division 1 all season long by checking out how many cards they or their opponents have received on this page.
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