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2016 Allsvenskan Season

240 games · 2 promotion-playoff teams

Final

Champion

Malmo

66 points

Relegated

No relegation

Biggest Overachiever

Kalmar

8.65 points above expected

44 points · 35.35 expected points

Biggest Disappointment

Falkenbergs

12.77 points below expected

10 points · 22.77 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 Malmo 30 21 3 6 66 60 26 +34 57.99 +8.01
2 AIK Stockholm 30 17 9 4 60 52 26 +26 55.01 +4.99
3 Norrkoping 30 18 6 6 60 59 37 +22 56.59 +3.41
4 Goteborg 30 14 8 8 50 56 47 +9 52.33 -2.33
5 Elfsborg 30 13 9 8 48 58 38 +20 49.76 -1.76
6 Kalmar 30 12 8 10 44 45 40 +5 35.35 +8.65
7 Djurgarden 30 14 1 15 43 48 47 +1 43.00 +0.00
8 Ostersund 30 12 6 12 42 44 46 -2 36.18 +5.82
9 Orebro 30 11 8 11 41 48 51 -3 40.78 +0.22
10 Hacken 30 11 7 12 40 58 45 +13 45.78 -5.78
11 Hammarby 30 10 9 11 39 46 49 -3 37.76 +1.24
12 Jonkoping 30 8 11 11 35 32 39 -7 35.86 -0.86
13 GIF Sundsvall 30 7 9 14 30 38 54 -16 35.43 -5.43
14 Helsingborg 30 8 5 17 29 34 52 -18 33.49 -4.49
15 Gefle 30 6 9 15 27 34 56 -22 25.68 +1.32
16 Falkenbergs 30 2 4 24 10 25 84 -59 22.77 -12.77

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

# Team Actual Sim vsSim
1 Kalmar 44 35.35 +8.65
2 Malmo 66 57.99 +8.01
3 Ostersund 42 36.18 +5.82
4 AIK Stockholm 60 55.01 +4.99
5 Norrkoping 60 56.59 +3.41

Biggest Disappointments

# Team Actual Sim vsSim
1 Falkenbergs 10 22.77 -12.77
2 Hacken 40 45.78 -5.78
3 GIF Sundsvall 30 35.43 -5.43
4 Helsingborg 29 33.49 -4.49
5 Goteborg 50 52.33 -2.33

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Gefle 3 Oct 26 – Nov 6 1 in 496
2 Ostersund 3 Oct 22 – Oct 31 1 in 77
3 GIF Sundsvall 3 Apr 11 – Apr 24 1 in 74
4 Kalmar 4 Sep 17 – Oct 2 1 in 35
5 Helsingborg 3 Apr 16 – Apr 28 1 in 23

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Gefle 8 Apr 28 – Jul 9 1 in 116
2 Djurgarden 5 May 29 – Aug 1 1 in 99
3 Helsingborg 6 Aug 5 – Sep 18 1 in 93
4 Norrkoping 3 Sep 26 – Oct 16 1 in 52
5 Hacken 4 Apr 6 – Apr 24 1 in 50

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Gefle 7 Sep 26 – Nov 6 1 in 1,234
2 Hammarby 7 Jul 30 – Sep 16 1 in 50
3 Norrkoping 18 Apr 26 – Sep 21 1 in 40
4 GIF Sundsvall 6 Apr 11 – May 9 1 in 29
5 Hacken 9 May 15 – Aug 7 1 in 28

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Jonkoping 9 Apr 23 – Jul 10 1 in 37
2 Falkenbergs 17 Jul 17 – Nov 6 1 in 24
3 Hacken 6 Sep 26 – Oct 31 1 in 23
4 Goteborg 4 Apr 11 – Apr 27 1 in 22
5 Gefle 11 Apr 10 – Jul 9 1 in 20

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Malmo 1756 66 -38 9 10.7 -1.7
AIK Stockholm 1793 60 +1 10 10.4 -0.4
Norrkoping 1714 60 -4 7 8.4 -1.4
Goteborg 1671 50 +7 8 7.9 +0.1
Elfsborg 1693 48 +32 13 8.3 +4.7
Kalmar 1589 44 -8 6 6.9 -0.9
Djurgarden 1599 43 -3 9 7.6 +1.4
Ostersund 1607 42 +69 9 5.9 +3.1
Orebro 1548 41 -32 5 7.1 -2.1
Hacken 1632 40 -14 4 8.0 -4.0
Hammarby 1563 39 -29 4 5.8 -1.8
Jonkoping 1534 35 +7 6 5.8 +0.2
GIF Sundsvall 1456 30 -41 2 6.2 -4.2
Helsingborg 1487 29 +30 7 5.4 +1.6
Gefle 1468 27 +59 11 3.5 +7.5
Falkenbergs 1287 10 -36 1 3.0 -2.0

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team AS DJU ELF FAL GS GEF GOT HAC HAM HEL JON KAL MAL NOR ORE OST
AIK Stockholm —
2-0-0
3.41
1-1-0
3.25
2-0-0
4.40
1-1-0
4.07
2-0-0
4.51
0-1-1
3.10
2-0-0
3.51
1-1-0
3.82
1-0-1
3.92
0-2-0
3.98
1-1-0
3.91
0-1-1
2.29
1-0-1
2.60
1-1-0
3.35
2-0-0
3.91
Djurgarden
0-0-2
2.10
 —
0-1-1
2.52
2-0-0
3.98
1-0-1
3.32
2-0-0
3.83
1-0-1
1.91
1-0-1
2.46
0-0-2
3.23
2-0-0
3.33
0-0-2
3.21
0-0-2
3.23
1-0-1
1.90
1-0-1
1.52
2-0-0
3.07
1-0-1
3.09
Elfsborg
0-1-1
2.26
1-1-0
2.98
 —
2-0-0
4.21
2-0-0
3.59
1-1-0
4.24
0-2-0
2.61
0-0-2
2.92
2-0-0
3.31
2-0-0
3.97
0-1-1
3.64
0-1-1
3.77
0-0-2
2.32
1-1-0
2.33
1-0-1
3.49
1-1-0
3.89
Falkenbergs
0-0-2
1.19
0-0-2
1.57
0-0-2
1.38
 —
0-1-1
1.79
1-1-0
2.64
0-0-2
1.24
0-0-2
1.47
0-1-1
1.57
0-0-2
2.08
0-1-1
2.00
0-0-2
1.73
0-0-2
0.82
1-0-1
1.00
0-0-2
1.44
0-0-2
1.92
GIF Sundsvall
0-1-1
1.48
1-0-1
2.19
0-0-2
1.94
1-1-0
3.74
 —
0-1-1
3.14
0-0-2
1.68
1-1-0
1.84
0-2-0
2.58
0-0-2
3.09
1-1-0
2.66
0-1-1
2.62
1-0-1
1.30
0-0-2
1.51
1-1-0
2.15
1-0-1
2.81
Gefle
0-0-2
1.09
0-0-2
1.70
0-1-1
1.32
0-1-1
2.87
1-1-0
2.37
 —
0-1-1
1.33
0-1-1
1.61
0-0-2
1.91
1-1-0
2.19
0-0-2
2.07
2-0-0
1.62
1-0-1
1.03
0-1-1
0.88
0-1-1
1.62
1-1-0
1.96
Goteborg
1-1-0
2.41
1-0-1
3.62
0-2-0
2.90
2-0-0
4.35
2-0-0
3.85
1-1-0
4.25
 —
1-1-0
3.15
1-0-1
3.76
2-0-0
3.96
1-1-0
4.00
0-1-1
3.85
0-0-2
2.54
0-1-1
2.42
1-0-1
3.66
1-0-1
3.87
Hacken
0-0-2
2.03
1-0-1
3.04
2-0-0
2.59
2-0-0
4.11
0-1-1
3.69
1-1-0
3.93
0-1-1
2.37
 —
2-0-0
3.32
1-1-0
3.69
1-1-0
3.46
0-1-1
3.28
0-0-2
1.92
0-0-2
2.16
0-1-1
3.04
1-0-1
3.30
Hammarby
0-1-1
1.72
2-0-0
2.29
0-0-2
2.21
1-1-0
3.97
0-2-0
2.93
2-0-0
3.61
1-0-1
1.77
0-0-2
2.20
 —
2-0-0
3.20
1-1-0
2.88
1-1-0
2.98
0-0-2
1.62
0-1-1
1.83
0-1-1
2.60
0-1-1
2.72
Helsingborg
1-0-1
1.63
0-0-2
2.18
0-0-2
1.59
2-0-0
3.44
2-0-0
2.42
0-1-1
3.33
0-0-2
1.59
0-1-1
1.84
0-0-2
2.31
 —
1-1-0
2.38
1-0-1
2.65
1-0-1
1.27
0-0-2
1.22
0-1-1
2.34
0-1-1
2.44
Jonkoping
0-2-0
1.56
2-0-0
2.31
1-1-0
1.89
1-1-0
3.53
0-1-1
2.84
2-0-0
3.44
0-1-1
1.54
0-1-1
2.06
0-1-1
2.63
0-1-1
3.13
 —
1-0-1
2.79
1-0-1
1.63
0-0-2
1.54
0-1-1
2.57
0-1-1
2.94
Kalmar
0-1-1
1.64
2-0-0
2.29
1-1-0
1.76
2-0-0
3.82
1-1-0
2.90
0-0-2
3.93
1-1-0
1.71
1-1-0
2.24
0-1-1
2.52
1-0-1
2.85
1-0-1
2.71
 —
0-2-0
1.27
0-0-2
1.42
1-0-1
2.44
1-0-1
2.60
Malmo
1-1-0
3.23
1-0-1
3.63
2-0-0
3.20
2-0-0
4.83
1-0-1
4.27
1-0-1
4.58
2-0-0
2.99
2-0-0
3.60
2-0-0
3.93
1-0-1
4.33
1-0-1
3.92
0-2-0
4.31
 —
2-0-0
2.94
2-0-0
3.62
1-0-1
4.31
Norrkoping
1-0-1
2.90
1-0-1
4.04
0-1-1
3.19
1-0-1
4.64
2-0-0
4.04
1-1-0
4.76
1-1-0
3.08
2-0-0
3.36
1-1-0
3.70
2-0-0
4.36
2-0-0
4.02
2-0-0
4.14
0-0-2
2.56
 —
1-1-0
3.72
1-1-0
4.32
Orebro
0-1-1
2.16
0-0-2
2.44
1-0-1
2.04
2-0-0
4.12
0-1-1
3.37
1-1-0
3.93
1-0-1
1.86
1-1-0
2.47
1-1-0
2.91
1-1-0
3.19
1-1-0
2.94
1-0-1
3.06
0-0-2
1.91
0-1-1
1.82
 —
1-0-1
2.75
Ostersund
0-0-2
1.65
1-0-1
2.43
0-1-1
1.65
2-0-0
3.62
1-0-1
2.70
0-1-1
3.58
1-0-1
1.67
1-0-1
2.22
1-1-0
2.79
1-1-0
3.08
1-1-0
2.57
1-0-1
2.91
1-0-1
1.28
0-1-1
1.25
1-0-1
2.76
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.76 +11.2
Allowed 0.82 -9.4
Differential 0.93 +6.0

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

↓ Scored | Allowed →012345+Total
05.00%6.25%6.04%3.12%0.62%1.25%22.29%
16.25%12.50%7.29%5.42%1.67%1.04%34.17%
26.04%7.29%3.33%3.12%2.08%0.42%22.29%
33.12%5.42%3.12%2.50%——14.17%
40.62%1.67%2.08%———4.38%
5+1.25%1.04%0.42%———2.71%
Total22.29%34.17%22.29%14.17%4.38%2.71%100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 1.54 +0.00
SD 1.29 1.29 1.94
CV 0.84 0.84 —
Max 7 7 +7
Min 0 0 -7

Games Played: 240

↓ Scored | Allowed →012345+Total
013.33%3.33%3.33%———20.00%
16.67%10.00%3.33%—3.33%—23.33%
216.67%10.00%3.33%———30.00%
36.67%6.67%6.67%3.33%——23.33%
4———————
5+3.33%—————3.33%
Total46.67%30.00%16.67%3.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 0.87 +0.87
SD 1.34 1.04 1.68
CV 0.77 1.20 —
Max 6 4 +6
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—13.33%6.67%10.00%——30.00%
13.33%—6.67%10.00%——20.00%
23.33%13.33%3.33%—3.33%—23.33%
36.67%10.00%3.33%———20.00%
4———————
5+3.33%—3.33%———6.67%
Total16.67%36.67%23.33%20.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 1.57 +0.03
SD 1.45 1.10 2.13
CV 0.91 0.70 —
Max 5 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%————20.00%
13.33%6.67%6.67%———16.67%
23.33%10.00%13.33%3.33%3.33%—33.33%
33.33%6.67%—3.33%——13.33%
43.33%3.33%6.67%———13.33%
5+3.33%—————3.33%
Total23.33%40.00%26.67%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.93 1.27 +0.67
SD 1.41 1.01 1.67
CV 0.73 0.80 —
Max 5 4 +5
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
0——16.67%6.67%—13.33%36.67%
1—10.00%20.00%6.67%6.67%3.33%46.67%
2—6.67%—6.67%——13.33%
3———3.33%——3.33%
4———————
5+———————
Total—16.67%36.67%23.33%6.67%16.67%100%

Summary Statistics

Scored Allowed Difference
Mean 0.83 2.80 -1.97
SD 0.79 1.54 1.92
CV 0.95 0.55 —
Max 3 7 +1
Min 0 1 -7

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%6.67%—6.67%—23.33%
13.33%20.00%10.00%13.33%3.33%—50.00%
2—6.67%———3.33%10.00%
3—10.00%—3.33%——13.33%
4———————
5+3.33%—————3.33%
Total13.33%40.00%16.67%16.67%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.80 -0.53
SD 1.17 1.35 1.94
CV 0.93 0.75 —
Max 5 5 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%10.00%3.33%3.33%—36.67%
16.67%10.00%13.33%——3.33%33.33%
2—3.33%10.00%——3.33%16.67%
3——3.33%3.33%——6.67%
4——6.67%———6.67%
5+———————
Total13.33%26.67%43.33%6.67%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.13 1.87 -0.73
SD 1.20 1.46 1.68
CV 1.06 0.78 —
Max 4 6 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0——6.67%3.33%——10.00%
16.67%13.33%—10.00%——30.00%
213.33%10.00%6.67%3.33%3.33%—36.67%
3—6.67%3.33%6.67%——16.67%
4—3.33%————3.33%
5+——3.33%———3.33%
Total20.00%33.33%20.00%23.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.87 1.57 +0.30
SD 1.25 1.17 1.73
CV 0.67 0.74 —
Max 6 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%—3.33%——23.33%
1—10.00%10.00%3.33%——23.33%
23.33%3.33%6.67%6.67%3.33%—23.33%
3—10.00%3.33%———13.33%
4—3.33%6.67%———10.00%
5+3.33%3.33%————6.67%
Total13.33%43.33%26.67%13.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.93 1.50 +0.43
SD 1.78 1.01 2.11
CV 0.92 0.67 —
Max 7 4 +7
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%—3.33%6.67%——16.67%
16.67%20.00%3.33%3.33%3.33%—36.67%
210.00%6.67%—10.00%6.67%—33.33%
3—3.33%—3.33%——6.67%
4——3.33%———3.33%
5+—3.33%————3.33%
Total23.33%33.33%10.00%23.33%10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.63 -0.10
SD 1.17 1.35 1.73
CV 0.76 0.83 —
Max 5 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%13.33%6.67%——33.33%
1—13.33%10.00%6.67%—3.33%33.33%
26.67%10.00%—3.33%3.33%—23.33%
3—3.33%3.33%———6.67%
4—3.33%————3.33%
5+———————
Total10.00%40.00%26.67%16.67%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.13 1.73 -0.60
SD 1.07 1.17 1.69
CV 0.95 0.68 —
Max 4 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%6.67%———23.33%
116.67%26.67%6.67%6.67%3.33%3.33%63.33%
23.33%—————3.33%
3——3.33%3.33%——6.67%
4———————
5+3.33%—————3.33%
Total30.00%36.67%16.67%10.00%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.07 1.30 -0.23
SD 1.05 1.29 1.65
CV 0.98 0.99 —
Max 5 5 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0—13.33%————13.33%
16.67%26.67%6.67%3.33%3.33%—46.67%
26.67%6.67%—3.33%3.33%—20.00%
36.67%—10.00%———16.67%
4——3.33%———3.33%
5+———————
Total20.00%46.67%20.00%6.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.33 +0.17
SD 1.04 1.09 1.44
CV 0.69 0.82 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%—3.33%——6.67%
116.67%10.00%6.67%3.33%——36.67%
210.00%3.33%—3.33%——16.67%
320.00%6.67%3.33%———30.00%
4—6.67%3.33%———10.00%
5+———————
Total46.67%30.00%13.33%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 0.87 +1.13
SD 1.17 1.01 1.68
CV 0.59 1.16 —
Max 4 3 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%————3.33%10.00%
16.67%6.67%10.00%6.67%——30.00%
210.00%13.33%3.33%———26.67%
33.33%16.67%—3.33%——23.33%
4—6.67%————6.67%
5+—3.33%————3.33%
Total26.67%46.67%13.33%10.00%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.97 1.23 +0.73
SD 1.25 1.28 1.96
CV 0.63 1.04 —
Max 5 6 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%6.67%3.33%——23.33%
16.67%6.67%3.33%6.67%—3.33%26.67%
2—6.67%6.67%10.00%——23.33%
3—6.67%10.00%3.33%——20.00%
43.33%—3.33%———6.67%
5+———————
Total20.00%23.33%30.00%23.33%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 1.70 -0.10
SD 1.25 1.24 1.67
CV 0.78 0.73 —
Max 4 5 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%—16.67%3.33%—3.33%30.00%
110.00%10.00%—6.67%3.33%—30.00%
210.00%6.67%——6.67%—23.33%
33.33%——3.33%——6.67%
43.33%—————3.33%
5+—6.67%————6.67%
Total33.33%23.33%16.67%13.33%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.53 -0.07
SD 1.53 1.50 2.36
CV 1.04 0.98 —
Max 6 5 +5
Min 0 0 -5

Games Played: 30

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
AIK Stockholm 1793 60 55.01 +4.99 83.0% 32 41 51 56 60 66 72
Malmo 1756 66 57.99 +8.01 91.0% 45 47 53 58 63 68 71
Norrkoping 1714 60 56.59 +3.41 71.0% 42 45 52 56 62 66 72
Elfsborg 1693 48 49.76 -1.76 39.0% 33 39 45 50 54 60 64
Goteborg 1671 50 52.33 -2.33 42.0% 32 40 48 52 57 64 72
Hacken 1632 40 45.78 -5.78 24.0% 27 32 41 46 51 57 64
Ostersund 1607 42 36.18 +5.82 80.0% 23 25 31 36 41 47 57
Djurgarden 1599 43 43.00 +0.00 56.0% 25 31 38 42 49 55 59
Kalmar 1589 44 35.35 +8.65 88.0% 17 22 30 35 40 47 53
Hammarby 1563 39 37.76 +1.24 58.0% 23 25 33 37 43 48 52
Orebro 1548 41 40.78 +0.22 58.0% 22 29 36 41 46 51 58
Jonkoping 1534 35 35.86 -0.86 45.0% 21 25 31 36 40 47 52
Helsingborg 1476 29 33.49 -4.49 28.0% 19 23 29 34 37 44 47
Gefle 1468 27 25.68 +1.32 58.0% 12 15 22 25 30 34 42
GIF Sundsvall 1456 30 35.43 -5.43 19.0% 20 24 31 35 39 47 51
Falkenbergs 1287 10 22.77 -12.77 0.0% 12 14 19 22 26 33 37

Point Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Edges & Scoring

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 12% * Slight Edge: 12% to 15% * Clear Edge: 15% to 19.5% * Strong Edge: 19.5% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+14.17%
Slight Edge
45.42%23.33%31.25%
Elo Value
Home Edge: 49.55 Elo pts.
177 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
+0.34 goals
Neutral
-2+0.28+2

Title Race

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 3 * Top-Heavy: 3 to 4 * Open: 4 to 5 * Wide Open: 5 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd to 3rd * Middle of the Pack: 4th to 8th * Longshot: 9th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.05 * Tight Race: 0.05 to 0.14 * Comfortable: 0.14 to 0.23 * Runaway: 0.23 and up.
Title-Race Openness
4.0
Top-Heavy
134510
Champion Preseason Odds
35%
Malmo, 1st of 16
LongshotFavorite
Title Margin
Expected
0.20/gm
Comfortable
00.160.5/gm

Simulation-Based Surprises

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.4 * Some Luck: 5.4 to 8.1 * Lucky: 8.1 to 10.81 * Wild Swing: 10.81 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.62 * Close: 1.62 to 2.43 * Off: 2.43 to 3.24 * Way Off: 3.24 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 16 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 16 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 16 * As Expected: 16 to 25.6 * Several Outliers: 25.6 to 35.2 * Many Outliers: 35.2 and up.
Luck Spread
Expected
5.41 points
Some Luck
06.7517
Average Finish Error
Expected
1.25
Pinpoint
02.025
Biggest Overachiever
Expected 96.88%
91.00%
Malmo
50100
Biggest Underachiever
Expected 3.12%
0.00%
Falkenbergs
050
Season Outliers
Expected
1 of 16
Minimal Outliers
01.68

Parity

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.14 * Even: 0.14 to 0.16 * Top-Heavy: 0.16 to 0.18 * Lopsided: 0.18 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.4 * Moderate Separation: 1.4 to 1.65 * Strong Separation: 1.65 to 1.8 * Wide Separation: 1.8 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 63% * Slight Edge: 63% to 66.5% * Clear Edge: 66.5% to 71.5% * Wide Edge: 71.5% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 83.5% * Clear Edge: 83.5% to 87.5% * Strong Edge: 87.5% to 90.5% * Dominant: 90.5% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 53% * Some Drama: 53% to 58.5% * Frequent: 58.5% to 62.5% * Very Frequent: 62.5% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 16% * Occasional: 16% to 19.5% * Frequent: 19.5% to 23.5% * Very Frequent: 23.5% and up.
Gini Index
0.18
Lopsided
00.140.5
Noll-Scully
Elo SD: 127.62
1.92
Wide Separation
0.951.41.652.75
Interquartile Edge
71%
Clear Edge
50%63%71.5%100%
Best vs. Worst
Baseline 94%
95%
Dominant
50%100%
Close Games
Expected
57%
Some Drama
0%56%100%
Blowouts
Expected
16%
Occasional
0%20%100%

Predictability

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.3 * Slight Separation: 0.3 to 0.34 * Notable Separation: 0.34 to 0.4 * Lopsided: 0.4 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.38 * Some Carryover: 0.38 to 0.53 * Strong Carryover: 0.53 to 0.69 * Near-Lock: 0.69 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 22.5% * As Expected: 22.5% to 25% * Upset-Prone: 25% to 28% * Very Upset-Prone: 28% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 19% * As Expected: 19% to 21.5% * Shaky Favorites: 21.5% to 24% * Very Shaky: 24% and up.
Brier Score
Expected
0.58
Predictable
00.592
Matchup Imbalance
0.37
Notable Separation
00.30.40.5
Strangeness
Expected
0.76
Very Predictable
01.002
Repeatability
0.83
Near-Lock
00.380.530.691
Upset Rate
Expected
21%
Chalky
0%24%50%
Clear Favorite Upset Rate
Expected
18%
Solid Favorites
0%20%50%

Calibration

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.11 * Near Noise Ceiling: 0.11 to 0.17 * Above Noise: 0.17 to 0.23 * Well Above Noise: 0.23 and up.
Probability calibration
0.41
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.08
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.060
Well Within Noise
00.1130.25

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The sections below show matchup heatmaps and round-by-round simulation outcomes.

First Round

Halmstad 3
Helsingborg 2

Leg 1: Halmstad 1-1 Helsingborg

Leg 2: Helsingborg 1-2 Halmstad

Sim: 3.0%

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team12345678910111213141516
Malmo35.00%21.00%13.00%17.00%7.00%5.00%2.00%—————————
AIK Stockholm19.00%23.00%25.00%11.00%7.00%4.00%5.00%3.00%1.00%1.00%1.00%—————
Norrkoping28.00%22.00%21.00%7.00%9.00%8.00%3.00%2.00%————————
Goteborg11.00%18.00%15.00%10.00%14.00%12.00%8.00%6.00%1.00%3.00%—2.00%————
Elfsborg3.00%10.00%11.00%23.00%19.00%7.00%8.00%8.00%5.00%4.00%1.00%——1.00%——
Kalmar———1.00%4.00%5.00%8.00%8.00%10.00%6.00%12.00%13.00%15.00%6.00%9.00%3.00%
Djurgarden——7.00%7.00%10.00%13.00%6.00%14.00%14.00%12.00%8.00%3.00%3.00%2.00%1.00%—
Ostersund———3.00%—6.00%11.00%7.00%11.00%4.00%16.00%12.00%12.00%12.00%4.00%2.00%
Orebro1.00%1.00%1.00%6.00%7.00%12.00%9.00%12.00%16.00%8.00%8.00%10.00%3.00%1.00%5.00%—
Hacken3.00%4.00%5.00%12.00%16.00%16.00%13.00%8.00%8.00%2.00%3.00%6.00%2.00%2.00%——
Hammarby——1.00%1.00%3.00%4.00%14.00%9.00%11.00%14.00%11.00%10.00%11.00%6.00%3.00%2.00%
Jonkoping—1.00%—2.00%—3.00%10.00%8.00%8.00%19.00%8.00%10.00%13.00%10.00%7.00%1.00%
GIF Sundsvall——1.00%—2.00%3.00%2.00%13.00%5.00%16.00%9.00%17.00%11.00%10.00%8.00%3.00%
Helsingborg————2.00%1.00%1.00%2.00%9.00%11.00%20.00%9.00%10.00%23.00%8.00%4.00%
Gefle—————1.00%————1.00%3.00%16.00%17.00%36.00%26.00%
Falkenbergs————————1.00%—2.00%5.00%4.00%10.00%19.00%59.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Stochastic Promotion/Relegation Outcomes

Across 100,000 regular-season simulations from preseason Elo, the probability of each team's next-season outcome — promotion-positive outcomes on the left, relegation-positive on the right. The round buttons switch to heatmaps of how often each pair of teams met in that round of the playoff across the simulations, since every iteration produces a different field.

Team Same level Lost relegation playoff Direct relegation
AIK Stockholm 100% — —
Goteborg 100% — —
Malmo 100% — —
Norrkoping 100% — —
Elfsborg 99.00% 1.00% —
Hacken 98.00% 2.00% —
Djurgarden 97.00% 2.00% 1.00%
Orebro 94.00% 1.00% 5.00%
Hammarby 89.00% 6.00% 5.00%
Jonkoping 82.00% 10.00% 8.00%
Kalmar 82.00% 6.00% 12.00%
Ostersund 82.00% 12.00% 6.00%
GIF Sundsvall 79.00% 10.00% 11.00%
Gefle 21.00% 17.00% 62.00%
Falkenbergs 12.00% 10.00% 78.00%
Helsingborg — 100% —
Loser →
↓ Winner
AFC UnitedAssyriskaAtvidabergDalkurdDjurgardenFalkenbergsFrejGAISGIF SundsvallGefleHalmstadHammarbyHelsingborgJonkopingKalmarLjungskileOrebroOrgryteOstersundSiriusSyrianskaTrelleborgVarbergVarnamo
AFC United50.0%4.00%100.0%1.00%0.0%1.00%0.0%1.00%50.0%4.00%60.0%5.00%
Assyriska0.0%1.00%0.0%2.00%
Atvidaberg100.0%1.00%0.0%3.00%
Dalkurd0.0%1.00%100.0%1.00%33.3%6.00%50.0%4.00%100.0%4.00%20.0%5.00%100.0%1.00%33.3%3.00%25.0%4.00%
Djurgarden0.0%1.00%100.0%1.00%100.0%1.00%
Falkenbergs50.0%4.00%0.0%1.00%100.0%1.00%0.0%1.00%0.0%2.00%0.0%1.00%
Frej100.0%1.00%
GAIS0.0%1.00%
GIF Sundsvall0.0%1.00%66.7%6.00%100.0%3.00%0.0%1.00%0.0%1.00%0.0%1.00%50.0%2.00%
Gefle100.0%1.00%50.0%4.00%100.0%1.00%0.0%1.00%100.0%1.00%0.0%3.00%0.0%1.00%
Halmstad0.0%1.00%0.0%3.00%100.0%1.00%0.0%1.00%100.0%3.00%100.0%1.00%50.0%2.00%100.0%1.00%
Hammarby100.0%1.00%100.0%1.00%100.0%1.00%100.0%2.00%100.0%1.00%100.0%1.00%
Helsingborg50.0%4.00%0.0%4.00%0.0%1.00%0.0%3.00%100.0%1.00%100.0%2.00%100.0%2.00%
Jonkoping40.0%5.00%100.0%3.00%80.0%5.00%0.0%1.00%100.0%1.00%
Kalmar100.0%2.00%0.0%1.00%50.0%2.00%100.0%1.00%0.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
Ljungskile100.0%1.00%0.0%1.00%
Orebro66.7%3.00%0.0%1.00%100.0%1.00%0.0%1.00%
Orgryte100.0%1.00%100.0%1.00%0.0%1.00%0.0%2.00%0.0%1.00%
Ostersund75.0%4.00%100.0%1.00%
Sirius0.0%1.00%100.0%1.00%100.0%3.00%100.0%1.00%
Syrianska0.0%1.00%0.0%1.00%
Trelleborg100.0%2.00%100.0%1.00%0.0%1.00%
Varberg50.0%2.00%100.0%1.00%0.0%1.00%0.0%2.00%0.0%1.00%0.0%1.00%
Varnamo100.0%1.00%0.0%2.00%0.0%1.00%100.0%1.00%

Actual Promotion/Relegation Outcomes

Just the teams that actually reached the promotion playoff. With the field fixed in place, the playoff sim re-runs every tie and tallies how often each team won each round — the table gives those probabilities, and the final round's column is the chance of winning the playoff outright. The round buttons switch to heatmaps of how often each pairing met in that round.

Team Finals
Helsingborg 53.24%
Halmstad 46.76%
Loser →
↓ Winner
HalmstadHelsingborg
Halmstad46.8%100.00%
Helsingborg53.2%100.00%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2016-04-02 Jonkoping L 0-153.7 1510 1534 41.24% 24.70% 34.05%+0.14 -10.8 0
2016-04-02 @ Kalmar W 1-053.7 1534 1510 34.05% 24.70% 41.24%-0.14 +10.8 3
2016-04-02 Norrkoping W 3-161.1 1659 1689 40.38% 24.72% 34.90%+0.11 +15.5 3
2016-04-02 @ Malmo L 1-361.1 1689 1659 34.90% 24.72% 40.38%-0.11 -15.5 0
2016-04-03 Djurgarden L 0-253.2 1567 1635 34.92% 24.72% 40.36%-0.11 -17.9 0
2016-04-03 @ Orebro W 2-053.2 1635 1567 40.36% 24.72% 34.92%+0.11 +17.9 3
2016-04-03 Elfsborg W 2-162.2 1614 1633 42.00% 24.68% 33.32%+0.17 +8.6 3
2016-04-03 @ Hacken L 1-262.2 1633 1614 33.32% 24.68% 42.00%-0.17 -8.6 0
2016-04-03 GIF Sundsvall D 1-169.1 1665 1514 61.99% 22.07% 15.94%+1.13 -2.7 1
2016-04-03 @ AIK Stockholm D 1-169.1 1514 1665 15.94% 22.07% 61.99%-1.13 +2.7 1
2016-04-03 Goteborg L 0-248.5 1508 1711 19.67% 23.13% 57.21%-0.87 -11.0 0
2016-04-03 @ Falkenbergs W 2-048.5 1711 1508 57.21% 23.13% 19.67%+0.87 +11.0 3
2016-04-03 Helsingborg D 1-164.6 1507 1553 38.06% 24.75% 37.20%+0.02 -0.0 1
2016-04-03 @ Gefle D 1-164.6 1553 1507 37.20% 24.75% 38.06%-0.02 +0.0 1
2016-04-04 Ostersund D 1-166.0 1540 1559 41.95% 24.68% 33.37%+0.17 -0.5 1
2016-04-04 @ Hammarby D 1-166.0 1559 1540 33.37% 24.68% 41.95%-0.17 +0.5 1
2016-04-06 Hacken W 1-053.9 1722 1623 56.68% 23.22% 20.09%+0.84 +6.0 6
2016-04-06 @ Goteborg L 0-153.9 1623 1722 20.09% 23.22% 56.68%-0.84 -6.0 3
2016-04-06 Kalmar W 4-148.4 1674 1499 64.26% 21.45% 14.29%+1.27 +10.0 3
2016-04-06 @ Norrkoping L 1-448.4 1499 1674 14.29% 21.45% 64.26%-1.27 -10.0 0
2016-04-06 Malmo W 3-271.5 1544 1675 27.10% 24.29% 48.62%-0.46 +11.0 6
2016-04-06 @ Jonkoping L 2-371.5 1675 1544 48.62% 24.29% 27.10%+0.46 -11.0 3
2016-04-07 AIK Stockholm L 0-252.2 1559 1662 30.38% 24.54% 45.08%-0.30 -16.0 1
2016-04-07 @ Ostersund W 2-052.2 1662 1559 45.08% 24.54% 30.38%+0.30 +16.0 4
2016-04-07 Falkenbergs W 5-043.2 1653 1497 62.53% 21.93% 15.53%+1.16 +20.7 6
2016-04-07 @ Djurgarden L 0-543.2 1497 1653 15.53% 21.93% 62.53%-1.16 -20.7 0
2016-04-07 Gefle L 1-259.6 1517 1507 45.95% 24.49% 29.56%+0.34 -11.1 1
2016-04-07 @ GIF Sundsvall W 2-159.6 1507 1517 29.56% 24.49% 45.95%-0.34 +11.1 4
2016-04-07 Hammarby W 4-151.0 1624 1540 55.06% 23.50% 21.44%+0.76 +14.6 3
2016-04-07 @ Elfsborg L 1-451.0 1540 1624 21.44% 23.50% 55.06%-0.76 -14.6 1
2016-04-07 Orebro L 1-359.1 1553 1549 45.14% 24.54% 30.32%+0.30 -18.9 1
2016-04-07 @ Helsingborg W 3-159.1 1549 1553 30.32% 24.54% 45.14%-0.30 +18.9 3
2016-04-09 Norrkoping L 1-263.6 1617 1684 35.16% 24.73% 40.12%-0.10 -9.0 3
2016-04-09 @ Hacken W 2-163.6 1684 1617 40.12% 24.73% 35.16%+0.10 +9.0 6
2016-04-10 Djurgarden L 1-258.2 1518 1674 24.19% 23.95% 51.86%-0.60 -6.6 4
2016-04-10 @ Gefle W 2-158.2 1674 1518 51.86% 23.95% 24.19%+0.60 +6.6 9
2016-04-10 Elfsborg W 3-269.9 1489 1639 24.88% 24.04% 51.09%-0.57 +11.5 3
2016-04-10 @ Kalmar L 2-369.9 1639 1489 51.09% 24.04% 24.88%+0.57 -11.5 3
2016-04-10 Helsingborg W 5-149.7 1525 1534 43.27% 24.63% 32.10%+0.23 +26.5 4
2016-04-10 @ Hammarby L 1-549.7 1534 1525 32.10% 24.63% 43.27%-0.23 -26.5 1
2016-04-10 Ostersund L 1-256.2 1476 1543 35.11% 24.73% 40.16%-0.10 -9.0 0
2016-04-10 @ Falkenbergs W 2-156.2 1543 1476 40.16% 24.73% 35.11%+0.10 +9.0 4
2016-04-11 GIF Sundsvall L 1-268.5 1664 1506 62.64% 21.91% 15.46%+1.17 -14.5 3
2016-04-11 @ Malmo W 2-168.5 1506 1664 15.46% 21.91% 62.64%-1.17 +14.5 4
2016-04-11 Goteborg D 3-381.5 1678 1728 37.64% 24.75% 37.61%+0.00 +0.0 5
2016-04-11 @ AIK Stockholm D 3-381.5 1728 1678 37.61% 24.75% 37.64%+0.00 +0.0 7
2016-04-11 Jonkoping W 2-158.0 1568 1555 46.18% 24.48% 29.34%+0.35 +7.8 6
2016-04-11 @ Orebro L 1-258.0 1555 1568 29.34% 24.48% 46.18%-0.35 -7.8 6
2016-04-15 Hacken W 2-161.9 1552 1608 36.78% 24.75% 38.47%-0.03 +9.6 7
2016-04-15 @ Ostersund L 1-261.9 1608 1552 38.47% 24.75% 36.78%+0.03 -9.6 3
2016-04-16 Falkenbergs W 3-148.7 1508 1467 49.85% 24.17% 25.98%+0.51 +12.2 4
2016-04-16 @ Helsingborg L 1-348.7 1467 1508 25.98% 24.17% 49.85%-0.51 -12.2 0
2016-04-17 AIK Stockholm W 4-156.9 1693 1678 46.46% 24.46% 29.09%+0.36 +18.9 9
2016-04-17 @ Norrkoping L 1-456.9 1678 1693 29.09% 24.46% 46.46%-0.36 -19.0 5
2016-04-17 Gefle W 1-049.7 1548 1511 49.33% 24.22% 26.45%+0.49 +7.6 9
2016-04-17 @ Jonkoping L 0-149.7 1511 1548 26.45% 24.22% 49.33%-0.49 -7.6 4
2016-04-17 Kalmar D 1-170.8 1728 1500 68.77% 19.96% 11.27%+1.57 -3.4 8
2016-04-17 @ Goteborg D 1-170.8 1500 1728 11.27% 19.96% 68.77%-1.57 +3.4 4
2016-04-18 Malmo L 0-160.0 1627 1649 41.57% 24.69% 33.74%+0.16 -10.8 3
2016-04-18 @ Elfsborg W 1-060.0 1649 1627 33.74% 24.69% 41.57%-0.16 +10.8 6
2016-04-18 Orebro W 3-157.0 1520 1575 36.84% 24.75% 38.41%-0.03 +16.6 7
2016-04-18 @ GIF Sundsvall L 1-357.0 1575 1520 38.41% 24.75% 36.84%+0.03 -16.6 6
2016-04-19 Hammarby L 1-366.3 1681 1551 59.85% 22.59% 17.56%+1.01 -24.1 9
2016-04-19 @ Djurgarden W 3-166.3 1551 1681 17.56% 22.59% 59.85%-1.01 +24.1 7
2016-04-22 Norrkoping W 2-168.5 1455 1712 15.45% 21.90% 62.65%-1.17 +14.5 3
2016-04-22 @ Falkenbergs L 1-268.5 1712 1455 62.65% 21.90% 15.45%+1.17 -14.5 9
2016-04-23 Jonkoping D 1-167.0 1575 1555 47.23% 24.40% 28.37%+0.39 -1.0 8
2016-04-23 @ Hammarby D 1-167.0 1555 1575 28.37% 24.40% 47.23%-0.39 +1.0 10
2016-04-23 Ostersund D 0-060.7 1503 1562 36.34% 24.74% 38.92%-0.05 +0.1 5
2016-04-23 @ Gefle D 0-060.7 1562 1503 38.92% 24.74% 36.34%+0.05 -0.2 8
2016-04-24 Djurgarden W 1-057.1 1660 1656 45.01% 24.55% 30.44%+0.30 +8.5 9
2016-04-24 @ Malmo L 0-157.1 1656 1660 30.44% 24.55% 45.01%-0.30 -8.5 9
2016-04-24 GIF Sundsvall L 0-159.9 1598 1537 52.33% 23.89% 23.78%+0.63 -13.1 3
2016-04-24 @ Hacken W 1-059.9 1537 1598 23.78% 23.89% 52.33%-0.63 +13.1 10
2016-04-24 Goteborg W 3-273.8 1559 1724 23.22% 23.80% 52.98%-0.66 +11.9 9
2016-04-24 @ Orebro L 2-373.8 1724 1559 52.98% 23.80% 23.22%+0.66 -11.9 8
2016-04-25 Elfsborg W 2-160.3 1660 1616 50.13% 24.14% 25.73%+0.52 +7.0 8
2016-04-25 @ AIK Stockholm L 1-260.3 1616 1660 25.73% 24.14% 50.13%-0.52 -7.0 3
2016-04-25 Helsingborg L 2-363.9 1504 1520 42.33% 24.67% 33.00%+0.19 -9.8 4
2016-04-25 @ Kalmar W 3-263.9 1520 1504 33.00% 24.67% 42.33%-0.19 +9.8 7
2016-04-26 Hammarby W 3-154.5 1697 1574 59.19% 22.73% 18.08%+0.97 +8.8 12
2016-04-26 @ Norrkoping L 1-354.5 1574 1697 18.08% 22.73% 59.19%-0.97 -8.9 8
2016-04-27 Falkenbergs D 1-163.7 1556 1469 55.32% 23.46% 21.23%+0.77 -1.9 11
2016-04-27 @ Jonkoping D 1-163.7 1469 1556 21.23% 23.46% 55.32%-0.77 +1.9 4
2016-04-27 Malmo L 0-357.9 1713 1668 50.28% 24.13% 25.59%+0.53 -34.7 8
2016-04-27 @ Goteborg W 3-057.9 1668 1713 25.59% 24.13% 50.28%-0.53 +34.7 12
2016-04-27 Orebro L 2-463.8 1562 1571 43.34% 24.63% 32.03%+0.23 -16.3 8
2016-04-27 @ Ostersund W 4-263.8 1571 1562 32.03% 24.63% 43.34%-0.23 +16.3 12
2016-04-28 AIK Stockholm W 2-165.9 1530 1666 26.35% 24.21% 49.44%-0.49 +11.8 10
2016-04-28 @ Helsingborg L 1-265.9 1666 1530 49.44% 24.21% 26.35%+0.49 -11.8 8
2016-04-28 Djurgarden W 3-052.4 1609 1648 39.22% 24.74% 36.04%+0.06 +26.6 6
2016-04-28 @ Elfsborg L 0-352.4 1648 1609 36.04% 24.74% 39.22%-0.06 -26.6 9
2016-04-28 Gefle W 6-146.7 1585 1504 54.71% 23.55% 21.74%+0.74 +23.4 6
2016-04-28 @ Hacken L 1-646.7 1504 1585 21.74% 23.55% 54.71%-0.74 -23.4 5
2016-04-28 Kalmar D 1-164.3 1550 1494 51.74% 23.96% 24.30%+0.60 -1.5 11
2016-04-28 @ GIF Sundsvall D 1-164.3 1494 1550 24.30% 23.96% 51.74%-0.60 +1.5 5
2016-05-01 Elfsborg L 1-255.5 1471 1636 23.31% 23.82% 52.87%-0.65 -6.4 4
2016-05-01 @ Falkenbergs W 2-155.5 1636 1471 52.87% 23.82% 23.31%+0.65 +6.4 9
2016-05-01 GIF Sundsvall D 1-166.5 1566 1549 46.80% 24.43% 28.77%+0.38 -1.0 9
2016-05-01 @ Hammarby D 1-166.5 1549 1566 28.77% 24.43% 46.80%-0.38 +1.0 12
2016-05-01 Hacken W 3-048.1 1703 1608 56.17% 23.31% 20.51%+0.81 +16.7 15
2016-05-01 @ Malmo L 0-348.1 1608 1703 20.51% 23.31% 56.17%-0.81 -16.7 6
2016-05-02 Goteborg L 2-650.8 1480 1678 20.14% 23.23% 56.63%-0.84 -15.1 5
2016-05-02 @ Gefle W 6-250.8 1678 1480 56.63% 23.23% 20.14%+0.84 +15.1 11
2016-05-02 Helsingborg W 3-045.0 1706 1542 63.28% 21.73% 14.99%+1.21 +12.4 15
2016-05-02 @ Norrkoping L 0-345.0 1542 1706 14.99% 21.73% 63.28%-1.21 -12.4 10
2016-05-02 Jonkoping D 0-065.3 1655 1554 56.82% 23.20% 19.98%+0.85 -2.4 9
2016-05-02 @ AIK Stockholm D 0-065.3 1554 1655 19.98% 23.20% 56.82%-0.85 +2.4 12
2016-05-02 Orebro W 3-266.3 1495 1587 31.85% 24.62% 43.52%-0.24 +10.0 8
2016-05-02 @ Kalmar L 2-366.3 1587 1495 43.52% 24.62% 31.85%+0.24 -10.0 12
2016-05-02 Ostersund W 3-046.0 1621 1545 54.06% 23.65% 22.29%+0.71 +18.0 12
2016-05-02 @ Djurgarden L 0-346.0 1545 1621 22.29% 23.65% 54.06%-0.71 -18.0 8
2016-05-07 Gefle W 2-043.4 1642 1465 64.48% 21.39% 14.13%+1.28 +8.0 12
2016-05-07 @ Elfsborg L 0-243.4 1465 1642 14.13% 21.39% 64.48%-1.28 -8.0 5
2016-05-07 Kalmar W 1-049.3 1528 1506 47.46% 24.38% 28.16%+0.40 +8.0 11
2016-05-07 @ Ostersund L 0-149.3 1506 1528 28.16% 24.38% 47.46%-0.40 -8.0 8
2016-05-08 AIK Stockholm L 2-368.4 1592 1652 36.06% 24.74% 39.20%-0.06 -8.7 6
2016-05-08 @ Hacken W 3-268.4 1652 1592 39.20% 24.74% 36.06%+0.06 +8.7 12
2016-05-08 Malmo W 2-168.6 1529 1720 20.81% 23.37% 55.82%-0.80 +13.1 13
2016-05-08 @ Helsingborg L 1-268.6 1720 1529 55.82% 23.37% 20.81%+0.80 -13.1 15
2016-05-08 Norrkoping L 0-250.9 1557 1718 23.62% 23.86% 52.52%-0.63 -13.0 12
2016-05-08 @ Jonkoping W 2-050.9 1718 1557 52.52% 23.86% 23.62%+0.63 +13.0 18
2016-05-09 Djurgarden W 2-160.6 1693 1639 51.45% 24.00% 24.55%+0.58 +6.7 14
2016-05-09 @ Goteborg L 1-260.6 1639 1693 24.55% 24.00% 51.45%-0.58 -6.7 12
2016-05-09 Falkenbergs W 2-151.6 1550 1465 55.08% 23.50% 21.43%+0.76 +6.0 15
2016-05-09 @ GIF Sundsvall L 1-251.6 1465 1550 21.43% 23.50% 55.08%-0.76 -6.0 4
2016-05-09 Hammarby W 3-263.9 1577 1565 46.20% 24.47% 29.32%+0.35 +7.4 15
2016-05-09 @ Orebro L 2-363.9 1565 1577 29.32% 24.47% 46.20%-0.35 -7.4 9
2016-05-13 Helsingborg D 1-165.6 1544 1542 44.73% 24.56% 30.71%+0.29 -0.8 13
2016-05-13 @ Jonkoping D 1-165.6 1542 1544 30.71% 24.56% 44.73%-0.29 +0.8 14
2016-05-14 Gefle W 3-041.0 1707 1457 70.52% 19.29% 10.19%+1.69 +8.3 18
2016-05-14 @ Malmo L 0-341.0 1457 1707 10.19% 19.29% 70.52%-1.69 -8.3 5
2016-05-14 Hammarby D 1-164.4 1498 1557 36.18% 24.74% 39.07%-0.06 +0.2 9
2016-05-14 @ Kalmar D 1-164.4 1557 1498 39.07% 24.74% 36.18%+0.06 -0.2 10
2016-05-15 Elfsborg W 1-058.8 1584 1651 35.28% 24.73% 40.00%-0.09 +10.5 18
2016-05-15 @ Orebro L 0-158.8 1651 1584 40.00% 24.73% 35.28%+0.09 -10.5 12
2016-05-15 GIF Sundsvall W 3-153.2 1731 1556 64.34% 21.43% 14.23%+1.27 +7.0 21
2016-05-15 @ Norrkoping L 1-353.2 1556 1731 14.23% 21.43% 64.34%-1.27 -7.0 15
2016-05-15 Goteborg W 2-058.9 1535 1700 23.36% 23.83% 52.82%-0.65 +24.9 14
2016-05-15 @ Ostersund L 0-258.9 1700 1535 52.82% 23.83% 23.36%+0.65 -24.9 14
2016-05-15 Hacken L 1-449.2 1459 1583 27.79% 24.35% 47.86%-0.42 -18.2 4
2016-05-15 @ Falkenbergs W 4-149.2 1583 1459 47.86% 24.35% 27.79%+0.42 +18.2 9
2016-05-16 Djurgarden W 2-052.4 1661 1633 48.29% 24.32% 27.39%+0.44 +14.7 15
2016-05-16 @ AIK Stockholm L 0-252.4 1633 1661 27.39% 24.32% 48.29%-0.44 -14.7 12
2016-05-18 Elfsborg L 1-357.6 1549 1640 31.86% 24.62% 43.51%-0.24 -14.4 15
2016-05-18 @ GIF Sundsvall W 3-157.6 1640 1549 43.51% 24.62% 31.86%+0.24 +14.4 15
2016-05-18 Jonkoping W 3-153.9 1601 1543 52.01% 23.93% 24.06%+0.61 +11.4 12
2016-05-18 @ Hacken L 1-353.9 1543 1601 24.06% 23.93% 52.01%-0.61 -11.4 13
2016-05-18 Malmo L 2-365.0 1557 1715 24.02% 23.92% 52.05%-0.61 -6.3 10
2016-05-18 @ Hammarby W 3-265.0 1715 1557 52.05% 23.92% 24.02%+0.61 +6.3 21
2016-05-18 Ostersund D 1-166.1 1543 1560 42.18% 24.67% 33.15%+0.18 -0.5 15
2016-05-18 @ Helsingborg D 1-166.1 1560 1543 33.15% 24.67% 42.18%-0.18 +0.5 15
2016-05-19 Kalmar L 0-355.3 1618 1498 58.92% 22.79% 18.29%+0.96 -39.9 12
2016-05-19 @ Djurgarden W 3-055.3 1498 1618 18.29% 22.79% 58.92%-0.96 +39.9 12
2016-05-19 Norrkoping D 1-171.5 1675 1738 35.63% 24.73% 39.63%-0.08 +0.2 15
2016-05-19 @ Goteborg D 1-171.5 1738 1675 39.63% 24.73% 35.63%+0.08 -0.2 22
2016-05-19 Orebro L 0-442.7 1449 1595 25.27% 24.09% 50.64%-0.55 -26.1 5
2016-05-19 @ Gefle W 4-042.7 1595 1449 50.64% 24.09% 25.27%+0.55 +26.1 21
2016-05-20 AIK Stockholm L 2-358.8 1441 1676 17.03% 22.43% 60.53%-1.05 -4.6 4
2016-05-20 @ Falkenbergs W 3-258.8 1676 1441 60.53% 22.43% 17.03%+1.05 +4.6 18
2016-05-21 Ostersund W 5-048.0 1534 1561 40.87% 24.71% 34.42%+0.13 +41.3 18
2016-05-21 @ GIF Sundsvall L 0-548.0 1561 1534 34.42% 24.71% 40.87%-0.13 -41.3 15
2016-05-22 Hacken D 1-167.5 1538 1613 34.03% 24.70% 41.27%-0.15 +0.4 13
2016-05-22 @ Kalmar D 1-167.5 1613 1538 41.27% 24.70% 34.03%+0.15 -0.4 13
2016-05-22 Helsingborg W 3-046.2 1578 1543 49.17% 24.24% 26.60%+0.48 +20.9 15
2016-05-22 @ Djurgarden L 0-346.2 1543 1578 26.60% 24.24% 49.17%-0.48 -20.9 15
2016-05-22 Jonkoping D 3-379.0 1654 1531 59.21% 22.73% 18.07%+0.97 -1.5 16
2016-05-22 @ Elfsborg D 3-379.0 1531 1654 18.07% 22.73% 59.21%-0.97 +1.5 14
2016-05-22 Norrkoping D 2-276.9 1621 1738 28.62% 24.42% 46.96%-0.38 +0.7 22
2016-05-22 @ Orebro D 2-276.9 1738 1621 46.96% 24.42% 28.62%+0.38 -0.7 23
2016-05-23 AIK Stockholm L 0-147.2 1422 1680 15.37% 21.87% 62.75%-1.18 -4.6 5
2016-05-23 @ Gefle W 1-047.2 1680 1422 62.75% 21.87% 15.37%+1.18 +4.7 21
2016-05-23 Falkenbergs W 2-042.2 1721 1436 73.15% 18.17% 8.68%+1.89 +4.8 24
2016-05-23 @ Malmo L 0-242.2 1436 1721 8.68% 18.17% 73.15%-1.89 -4.8 4
2016-05-23 Hammarby W 2-156.6 1675 1551 59.34% 22.70% 17.96%+0.98 +5.1 18
2016-05-23 @ Goteborg L 1-256.6 1551 1675 17.96% 22.70% 59.34%-0.98 -5.1 10
2016-05-28 GIF Sundsvall D 1-166.3 1533 1575 38.63% 24.74% 36.62%+0.04 -0.1 15
2016-05-28 @ Jonkoping D 1-166.3 1575 1533 36.62% 24.74% 38.63%-0.04 +0.1 19
2016-05-28 Malmo L 1-452.0 1520 1726 19.38% 23.06% 57.56%-0.89 -13.4 15
2016-05-28 @ Ostersund W 4-152.0 1726 1520 57.56% 23.06% 19.38%+0.89 +13.4 27
2016-05-28 Orebro D 0-066.7 1685 1622 52.59% 23.86% 23.56%+0.64 -1.8 22
2016-05-28 @ AIK Stockholm D 0-066.7 1622 1685 23.56% 23.86% 52.59%-0.64 +1.8 23
2016-05-29 Djurgarden W 3-157.3 1612 1599 46.36% 24.46% 29.17%+0.36 +13.4 16
2016-05-29 @ Hacken L 1-357.3 1599 1612 29.17% 24.46% 46.36%-0.36 -13.4 15
2016-05-29 Elfsborg D 0-067.6 1738 1653 55.06% 23.50% 21.44%+0.76 -2.1 24
2016-05-29 @ Norrkoping D 0-067.6 1653 1738 21.44% 23.50% 55.06%-0.76 +2.1 17
2016-05-29 Gefle W 2-148.3 1546 1418 59.71% 22.62% 17.67%+1.00 +5.0 13
2016-05-29 @ Hammarby L 1-248.3 1418 1546 17.67% 22.62% 59.71%-1.00 -5.0 5
2016-05-29 Goteborg L 1-355.3 1522 1680 23.97% 23.92% 52.12%-0.62 -11.4 15
2016-05-29 @ Helsingborg W 3-155.3 1680 1522 52.12% 23.92% 23.97%+0.62 +11.4 21
2016-05-29 Kalmar L 1-252.7 1431 1538 29.92% 24.52% 45.57%-0.32 -7.9 4
2016-05-29 @ Falkenbergs W 2-152.7 1538 1431 45.57% 24.52% 29.92%+0.32 +7.9 16
2016-07-09 Falkenbergs L 1-252.4 1413 1423 43.12% 24.64% 32.24%+0.22 -10.5 5
2016-07-09 @ Gefle W 2-152.4 1423 1413 32.24% 24.64% 43.12%-0.22 +10.5 7
2016-07-09 Hammarby W 4-258.5 1626 1551 53.98% 23.66% 22.36%+0.70 +9.6 19
2016-07-09 @ Hacken L 2-458.5 1551 1626 22.36% 23.66% 53.98%-0.70 -9.6 13
2016-07-09 Norrkoping L 0-155.4 1585 1735 24.87% 24.04% 51.10%-0.57 -7.2 15
2016-07-09 @ Djurgarden W 1-055.4 1735 1585 51.10% 24.04% 24.87%+0.57 +7.2 27
2016-07-10 AIK Stockholm D 1-169.5 1546 1683 26.27% 24.20% 49.53%-0.50 +1.3 17
2016-07-10 @ Kalmar D 1-169.5 1683 1546 49.53% 24.20% 26.27%+0.50 -1.3 23
2016-07-10 Elfsborg L 2-459.2 1510 1655 25.44% 24.11% 50.45%-0.54 -10.7 15
2016-07-10 @ Helsingborg W 4-259.2 1655 1510 50.45% 24.11% 25.44%+0.54 +10.7 20
2016-07-10 GIF Sundsvall W 4-152.1 1692 1576 58.48% 22.88% 18.64%+0.94 +12.9 24
2016-07-10 @ Goteborg L 1-452.1 1576 1692 18.64% 22.88% 58.48%-0.94 -12.9 19
2016-07-10 Jonkoping W 1-051.5 1506 1533 40.89% 24.71% 34.40%+0.13 +9.4 18
2016-07-10 @ Ostersund L 0-151.5 1533 1506 34.40% 24.71% 40.89%-0.13 -9.4 15
2016-07-11 Orebro W 1-053.6 1739 1624 58.46% 22.88% 18.65%+0.93 +5.6 30
2016-07-11 @ Malmo L 0-153.6 1624 1739 18.65% 22.88% 58.46%-0.93 -5.6 23
2016-07-16 Helsingborg L 0-254.1 1563 1500 52.56% 23.86% 23.58%+0.64 -24.8 19
2016-07-16 @ GIF Sundsvall W 2-054.1 1500 1563 23.58% 23.86% 52.56%-0.64 +24.8 18
2016-07-16 Ostersund D 3-381.3 1743 1516 68.73% 19.98% 11.30%+1.56 -2.1 28
2016-07-16 @ Norrkoping D 3-381.3 1516 1743 11.30% 19.98% 68.73%-1.56 +2.1 19
2016-07-17 Falkenbergs D 3-372.0 1541 1434 57.55% 23.06% 19.38%+0.89 -1.4 14
2016-07-17 @ Hammarby D 3-372.0 1434 1541 19.38% 23.06% 57.55%-0.89 +1.4 8
2016-07-17 Goteborg D 1-171.2 1666 1704 39.19% 24.74% 36.07%+0.06 -0.2 21
2016-07-17 @ Elfsborg D 1-171.2 1704 1666 36.07% 24.74% 39.19%-0.06 +0.2 25
2016-07-17 Hacken D 0-065.7 1618 1635 42.16% 24.67% 33.17%+0.18 -0.5 24
2016-07-17 @ Orebro D 0-065.7 1635 1618 33.17% 24.67% 42.16%-0.18 +0.5 20
2016-07-17 Malmo D 1-171.6 1682 1745 35.71% 24.74% 39.55%-0.08 +0.2 24
2016-07-17 @ AIK Stockholm D 1-171.6 1745 1682 39.55% 24.74% 35.71%+0.08 -0.2 31
2016-07-18 Djurgarden W 1-054.9 1523 1578 36.89% 24.75% 38.37%-0.03 +10.2 18
2016-07-18 @ Jonkoping L 0-154.9 1578 1523 38.37% 24.75% 36.89%+0.03 -10.2 15
2016-07-18 Kalmar W 4-259.4 1402 1547 25.43% 24.11% 50.46%-0.54 +18.6 8
2016-07-18 @ Gefle L 2-459.4 1547 1402 50.46% 24.11% 25.43%+0.54 -18.6 17
2016-07-23 Gefle W 2-041.6 1740 1421 75.52% 17.06% 7.42%+2.09 +4.0 31
2016-07-23 @ Norrkoping L 0-241.6 1421 1740 7.42% 17.06% 75.52%-2.09 -4.0 8
2016-07-23 Kalmar D 1-171.4 1745 1529 67.84% 20.30% 11.87%+1.50 -3.3 32
2016-07-23 @ Malmo D 1-171.4 1529 1745 11.87% 20.30% 67.84%-1.50 +3.3 18
2016-07-23 Orebro L 1-350.0 1435 1617 21.58% 23.53% 54.89%-0.75 -10.4 8
2016-07-23 @ Falkenbergs W 3-150.0 1617 1435 54.89% 23.53% 21.58%+0.75 +10.4 27
2016-07-24 AIK Stockholm L 0-348.5 1540 1682 25.70% 24.14% 50.16%-0.52 -20.3 14
2016-07-24 @ Hammarby W 3-048.5 1682 1540 50.16% 24.14% 25.70%+0.52 +20.3 27
2016-07-24 Hacken L 0-250.4 1524 1636 29.31% 24.47% 46.21%-0.35 -15.6 18
2016-07-24 @ Helsingborg W 2-050.4 1636 1524 46.21% 24.47% 29.31%+0.35 +15.6 23
2016-07-24 Jonkoping W 2-155.5 1705 1534 63.89% 21.56% 14.55%+1.25 +4.1 28
2016-07-24 @ Goteborg L 1-255.5 1534 1705 14.55% 21.56% 63.89%-1.25 -4.2 18
2016-07-25 GIF Sundsvall L 1-360.2 1568 1538 48.51% 24.30% 27.19%+0.45 -20.1 15
2016-07-25 @ Djurgarden W 3-160.2 1538 1568 27.19% 24.30% 48.51%-0.45 +20.1 22
2016-07-25 Ostersund W 3-152.0 1666 1518 61.71% 22.15% 16.15%+1.12 +8.0 24
2016-07-25 @ Elfsborg L 1-352.0 1518 1666 16.15% 22.15% 61.71%-1.12 -8.0 19
2016-07-30 Elfsborg D 0-064.5 1510 1674 23.41% 23.83% 52.76%-0.65 +1.8 20
2016-07-30 @ Ostersund D 0-064.5 1674 1510 52.76% 23.83% 23.41%+0.65 -1.8 25
2016-07-30 Hammarby L 0-243.0 1417 1519 30.43% 24.55% 45.02%-0.30 -16.0 8
2016-07-30 @ Gefle W 2-043.0 1519 1417 45.02% 24.55% 30.43%+0.30 +16.0 17
2016-07-30 Norrkoping L 1-259.1 1558 1745 21.17% 23.45% 55.39%-0.77 -5.9 22
2016-07-30 @ GIF Sundsvall W 2-159.1 1745 1558 55.39% 23.45% 21.17%+0.77 +5.9 34
2016-07-31 Falkenbergs W 2-041.5 1702 1425 72.61% 18.41% 8.98%+1.85 +5.0 30
2016-07-31 @ AIK Stockholm L 0-241.5 1425 1702 8.98% 18.41% 72.61%-1.85 -5.0 8
2016-07-31 Goteborg D 1-169.9 1530 1709 21.87% 23.58% 54.55%-0.73 +1.8 19
2016-07-31 @ Jonkoping D 1-169.9 1709 1530 54.55% 23.58% 21.87%+0.73 -1.8 29
2016-07-31 Helsingborg D 1-168.5 1652 1509 61.20% 22.27% 16.53%+1.09 -2.6 24
2016-07-31 @ Hacken D 1-168.5 1509 1652 16.53% 22.27% 61.20%-1.09 +2.6 19
2016-08-01 Djurgarden W 2-157.8 1532 1548 42.36% 24.67% 32.97%+0.19 +8.5 21
2016-08-01 @ Kalmar L 1-257.8 1548 1532 32.97% 24.67% 42.36%-0.19 -8.5 15
2016-08-01 Malmo L 0-351.6 1628 1741 29.07% 24.46% 46.48%-0.36 -22.4 27
2016-08-01 @ Orebro W 3-051.6 1741 1628 46.48% 24.46% 29.07%+0.36 +22.4 35
2016-08-05 Gefle L 2-364.0 1511 1401 57.92% 22.99% 19.09%+0.91 -12.8 19
2016-08-05 @ Helsingborg W 3-264.0 1401 1511 19.09% 22.99% 57.92%-0.91 +12.8 11
2016-08-06 GIF Sundsvall W 4-046.9 1512 1552 38.94% 24.74% 36.32%+0.05 +34.9 23
2016-08-06 @ Ostersund L 0-446.9 1552 1512 36.32% 24.74% 38.94%-0.05 -34.9 22
2016-08-06 Jonkoping L 0-541.2 1420 1531 29.32% 24.47% 46.21%-0.35 -36.4 8
2016-08-06 @ Falkenbergs W 5-041.2 1531 1420 46.21% 24.47% 29.32%+0.35 +36.4 22
2016-08-07 AIK Stockholm W 2-052.8 1764 1707 51.77% 23.96% 24.27%+0.60 +13.3 38
2016-08-07 @ Malmo L 0-252.8 1707 1764 24.27% 23.96% 51.77%-0.60 -13.3 30
2016-08-07 Hacken L 2-468.8 1672 1649 47.56% 24.38% 28.06%+0.41 -17.7 25
2016-08-07 @ Elfsborg W 4-268.8 1649 1672 28.06% 24.38% 47.56%-0.41 +17.6 27
2016-08-07 Kalmar W 2-157.2 1536 1540 43.88% 24.61% 31.52%+0.25 +8.2 20
2016-08-07 @ Hammarby L 1-257.2 1540 1536 31.52% 24.61% 43.88%-0.25 -8.2 21
2016-08-07 Orebro W 3-154.8 1750 1605 61.43% 22.22% 16.36%+1.10 +8.1 37
2016-08-07 @ Norrkoping L 1-354.8 1605 1750 16.36% 22.22% 61.43%-1.10 -8.1 27
2016-08-08 Goteborg W 3-164.9 1539 1707 23.03% 23.78% 53.19%-0.67 +21.7 18
2016-08-08 @ Djurgarden L 1-364.9 1707 1539 53.19% 23.78% 23.03%+0.67 -21.7 29
2016-08-10 Hacken W 3-157.0 1758 1667 55.88% 23.37% 20.76%+0.80 +10.0 40
2016-08-10 @ Norrkoping L 1-357.0 1667 1758 20.76% 23.37% 55.88%-0.80 -10.0 27
2016-08-12 Falkenbergs W 2-039.1 1685 1383 74.32% 17.64% 8.05%+1.98 +4.4 32
2016-08-12 @ Goteborg L 0-239.1 1383 1685 8.05% 17.64% 74.32%-1.98 -4.4 8
2016-08-13 Helsingborg W 2-153.9 1694 1499 66.08% 20.89% 13.03%+1.38 +3.7 33
2016-08-13 @ AIK Stockholm L 1-253.9 1499 1694 13.03% 20.89% 66.08%-1.38 -3.7 19
2016-08-13 Norrkoping D 0-065.9 1414 1769 9.92% 19.10% 70.99%-1.72 +4.1 12
2016-08-13 @ Gefle D 0-065.9 1769 1414 70.99% 19.10% 9.92%+1.72 -4.1 41
2016-08-14 Elfsborg D 2-274.8 1561 1654 31.67% 24.61% 43.72%-0.25 +0.5 19
2016-08-14 @ Djurgarden D 2-274.8 1654 1561 43.72% 24.61% 31.67%+0.25 -0.5 26
2016-08-14 Malmo D 1-171.4 1532 1777 16.30% 22.20% 61.51%-1.10 +2.6 22
2016-08-14 @ Kalmar D 1-171.4 1777 1532 61.51% 22.20% 16.30%+1.10 -2.6 39
2016-08-14 Orebro L 0-162.6 1657 1597 52.10% 23.92% 23.98%+0.61 -13.1 27
2016-08-14 @ Hacken W 1-062.6 1597 1657 23.98% 23.92% 52.10%-0.61 +13.1 30
2016-08-15 Hammarby D 0-060.5 1517 1544 40.88% 24.71% 34.41%+0.13 -0.4 23
2016-08-15 @ GIF Sundsvall D 0-060.5 1544 1517 34.41% 24.71% 40.88%-0.13 +0.4 21
2016-08-15 Ostersund D 1-166.5 1568 1547 47.36% 24.39% 28.25%+0.40 -1.0 23
2016-08-15 @ Jonkoping D 1-166.5 1547 1568 28.25% 24.39% 47.36%-0.40 +1.0 24
2016-08-20 Djurgarden W 1-053.4 1548 1562 42.63% 24.66% 32.71%+0.20 +9.0 27
2016-08-20 @ Ostersund L 0-153.4 1562 1548 32.71% 24.66% 42.63%-0.20 -9.0 19
2016-08-20 Kalmar L 0-152.6 1495 1535 39.00% 24.74% 36.26%+0.05 -10.3 19
2016-08-20 @ Helsingborg W 1-052.6 1535 1495 36.26% 24.74% 39.00%-0.05 +10.3 25
2016-08-21 AIK Stockholm L 0-254.2 1610 1698 32.40% 24.65% 42.96%-0.21 -16.9 30
2016-08-21 @ Orebro W 2-054.2 1698 1610 42.96% 24.65% 32.40%+0.21 +16.9 36
2016-08-21 Gefle D 1-156.0 1379 1418 39.18% 24.74% 36.08%+0.06 -0.2 9
2016-08-21 @ Falkenbergs D 1-156.0 1418 1379 36.08% 24.74% 39.18%-0.06 +0.2 13
2016-08-21 Goteborg W 2-058.3 1544 1690 25.36% 24.10% 50.54%-0.54 +24.0 24
2016-08-21 @ Hammarby L 0-258.3 1690 1544 50.54% 24.10% 25.36%+0.54 -24.0 32
2016-08-22 GIF Sundsvall W 4-043.7 1654 1517 60.62% 22.41% 16.97%+1.05 +18.3 29
2016-08-22 @ Elfsborg L 0-443.7 1517 1654 16.97% 22.41% 60.62%-1.05 -18.3 23
2016-08-22 Jonkoping W 4-150.4 1775 1567 67.14% 20.54% 12.32%+1.45 +8.6 42
2016-08-22 @ Malmo L 1-450.4 1567 1775 12.32% 20.54% 67.14%-1.45 -8.6 23
2016-08-27 Gefle W 2-148.3 1553 1418 60.41% 22.46% 17.13%+1.04 +4.9 22
2016-08-27 @ Djurgarden L 1-248.3 1418 1553 17.13% 22.46% 60.41%-1.04 -4.9 13
2016-08-27 Norrkoping L 0-152.9 1545 1764 18.29% 22.79% 58.92%-0.96 -5.5 25
2016-08-27 @ Kalmar W 1-052.9 1764 1545 58.92% 22.79% 18.29%+0.96 +5.5 44
2016-08-28 Elfsborg W 1-060.6 1558 1672 29.04% 24.45% 46.50%-0.36 +11.8 26
2016-08-28 @ Jonkoping L 0-160.6 1672 1558 46.50% 24.45% 29.04%+0.36 -11.9 29
2016-08-28 Falkenbergs W 3-251.5 1594 1379 67.72% 20.34% 11.94%+1.49 +3.2 33
2016-08-28 @ Orebro L 2-351.5 1379 1594 11.94% 20.34% 67.72%-1.49 -3.2 9
2016-08-28 Hammarby D 0-066.9 1715 1568 61.57% 22.18% 16.25%+1.11 -3.0 37
2016-08-28 @ AIK Stockholm D 0-066.9 1568 1715 16.25% 22.18% 61.57%-1.11 +3.0 25
2016-08-28 Helsingborg W 2-044.5 1666 1485 64.80% 21.29% 13.91%+1.30 +7.9 35
2016-08-28 @ Goteborg L 0-244.5 1485 1666 13.91% 21.29% 64.80%-1.30 -7.9 19
2016-08-28 Malmo L 0-150.6 1498 1783 13.62% 21.17% 65.21%-1.33 -4.1 23
2016-08-28 @ GIF Sundsvall W 1-050.6 1783 1498 65.21% 21.17% 13.62%+1.33 +4.1 45
2016-08-28 Ostersund W 3-154.3 1643 1557 55.32% 23.46% 21.22%+0.77 +10.2 30
2016-08-28 @ Hacken L 1-354.3 1557 1643 21.22% 23.46% 55.32%-0.77 -10.2 27
2016-09-10 Kalmar D 1-169.3 1660 1540 58.94% 22.79% 18.28%+0.96 -2.3 30
2016-09-10 @ Elfsborg D 1-169.3 1540 1660 18.28% 22.79% 58.94%-0.96 +2.3 26
2016-09-11 AIK Stockholm L 1-353.4 1494 1712 18.45% 22.83% 58.72%-0.95 -9.0 23
2016-09-11 @ GIF Sundsvall W 3-153.4 1712 1494 58.72% 22.83% 18.45%+0.95 +9.0 40
2016-09-11 Djurgarden L 1-248.6 1376 1557 21.62% 23.53% 54.85%-0.75 -6.0 9
2016-09-11 @ Falkenbergs W 2-148.6 1557 1376 54.85% 23.53% 21.62%+0.75 +6.0 25
2016-09-11 Helsingborg W 2-043.7 1546 1477 53.34% 23.76% 22.91%+0.67 +12.7 30
2016-09-11 @ Ostersund L 0-243.7 1477 1546 22.91% 23.76% 53.34%-0.67 -12.7 19
2016-09-11 Jonkoping W 5-149.1 1770 1570 66.47% 20.77% 12.77%+1.41 +11.5 47
2016-09-11 @ Norrkoping L 1-549.1 1570 1770 12.77% 20.77% 66.47%-1.41 -11.5 26
2016-09-12 Goteborg W 3-156.5 1787 1674 58.24% 22.93% 18.83%+0.92 +9.2 48
2016-09-12 @ Malmo L 1-356.5 1674 1787 18.83% 22.93% 58.24%-0.92 -9.2 35
2016-09-12 Hacken D 2-271.3 1413 1654 16.61% 22.30% 61.09%-1.08 +1.9 14
2016-09-12 @ Gefle D 2-271.3 1654 1413 61.09% 22.30% 16.61%+1.08 -1.9 31
2016-09-12 Orebro D 1-168.0 1571 1597 41.02% 24.71% 34.28%+0.13 -0.4 26
2016-09-12 @ Hammarby D 1-168.0 1597 1571 34.28% 24.71% 41.02%-0.13 +0.3 34
2016-09-16 GIF Sundsvall D 3-375.9 1597 1485 58.04% 22.97% 18.99%+0.91 -1.4 35
2016-09-16 @ Orebro D 3-375.9 1485 1597 18.99% 22.97% 58.04%-0.91 +1.4 24
2016-09-16 Hammarby L 0-157.1 1559 1571 42.89% 24.65% 32.46%+0.21 -11.1 26
2016-09-16 @ Jonkoping W 1-057.1 1571 1559 32.46% 24.65% 42.89%-0.21 +11.1 29
2016-09-17 Ostersund W 2-049.8 1542 1559 42.23% 24.67% 33.10%+0.18 +17.1 29
2016-09-17 @ Kalmar L 0-249.8 1559 1542 33.10% 24.67% 42.23%-0.18 -17.1 30
2016-09-18 Falkenbergs W 5-035.9 1658 1370 73.36% 18.08% 8.56%+1.91 +11.1 33
2016-09-18 @ Elfsborg L 0-535.9 1370 1658 8.56% 18.08% 73.36%-1.91 -11.1 9
2016-09-18 Gefle W 1-044.7 1721 1415 74.59% 17.51% 7.90%+2.01 +2.3 43
2016-09-18 @ AIK Stockholm L 0-144.7 1415 1721 7.90% 17.51% 74.59%-2.01 -2.3 14
2016-09-18 Malmo W 3-168.1 1563 1796 17.20% 22.48% 60.31%-1.04 +24.3 28
2016-09-18 @ Djurgarden L 1-368.1 1796 1563 60.31% 22.48% 17.20%+1.04 -24.3 48
2016-09-18 Norrkoping L 1-254.4 1464 1781 11.75% 20.24% 68.01%-1.51 -3.3 19
2016-09-18 @ Helsingborg W 2-154.4 1781 1464 68.01% 20.24% 11.75%+1.51 +3.3 50
2016-09-19 Goteborg D 2-276.4 1652 1664 42.84% 24.65% 32.51%+0.21 -0.4 32
2016-09-19 @ Hacken D 2-276.4 1664 1652 32.51% 24.65% 42.84%-0.21 +0.4 36
2016-09-21 AIK Stockholm L 0-350.1 1588 1723 26.51% 24.23% 49.26%-0.48 -20.8 28
2016-09-21 @ Djurgarden W 3-050.1 1723 1588 49.26% 24.23% 26.51%+0.48 +20.8 46
2016-09-21 Falkenbergs W 3-033.7 1559 1359 66.53% 20.75% 12.73%+1.41 +10.5 32
2016-09-21 @ Kalmar L 0-333.7 1359 1559 12.73% 20.75% 66.53%-1.41 -10.5 9
2016-09-21 GIF Sundsvall W 2-153.3 1461 1487 40.98% 24.71% 34.32%+0.13 +8.8 22
2016-09-21 @ Helsingborg L 1-253.3 1487 1461 34.32% 24.71% 40.98%-0.13 -8.8 24
2016-09-21 Jonkoping L 0-146.1 1413 1547 26.56% 24.23% 49.20%-0.48 -7.6 14
2016-09-21 @ Gefle W 1-046.1 1547 1413 49.20% 24.23% 26.56%+0.48 +7.6 29
2016-09-21 Norrkoping L 0-248.9 1542 1785 16.45% 22.25% 61.30%-1.09 -9.3 30
2016-09-21 @ Ostersund W 2-048.9 1785 1542 61.30% 22.25% 16.45%+1.09 +9.3 53
2016-09-22 Elfsborg W 1-054.5 1772 1669 57.13% 23.14% 19.72%+0.86 +5.9 51
2016-09-22 @ Malmo L 0-154.5 1669 1772 19.72% 23.14% 57.13%-0.86 -5.9 33
2016-09-22 Hacken L 2-367.8 1582 1651 34.80% 24.72% 40.48%-0.11 -8.5 29
2016-09-22 @ Hammarby W 3-267.8 1651 1582 40.48% 24.72% 34.80%+0.11 +8.4 35
2016-09-22 Orebro W 3-264.4 1665 1596 53.27% 23.77% 22.97%+0.67 +6.0 39
2016-09-22 @ Goteborg L 2-364.4 1596 1665 22.97% 23.77% 53.27%-0.67 -6.0 35
2016-09-24 Kalmar L 0-156.9 1555 1570 42.55% 24.66% 32.79%+0.20 -11.0 29
2016-09-24 @ Jonkoping W 1-056.9 1570 1555 32.79% 24.66% 42.55%-0.20 +11.0 35
2016-09-25 AIK Stockholm D 2-277.2 1663 1744 33.26% 24.68% 42.06%-0.18 +0.3 34
2016-09-25 @ Elfsborg D 2-277.2 1744 1663 42.06% 24.68% 33.26%+0.18 -0.3 47
2016-09-25 Helsingborg W 2-043.7 1778 1470 74.78% 17.42% 7.80%+2.02 +4.3 54
2016-09-25 @ Malmo L 0-243.7 1470 1778 7.80% 17.42% 74.78%-2.02 -4.3 22
2016-09-26 Djurgarden L 1-369.9 1794 1567 68.74% 19.97% 11.29%+1.56 -27.2 53
2016-09-26 @ Norrkoping W 3-169.9 1567 1794 11.29% 19.97% 68.74%-1.56 +27.2 31
2016-09-26 Gefle D 2-269.0 1590 1405 65.13% 21.19% 13.68%+1.32 -2.3 36
2016-09-26 @ Orebro D 2-269.0 1405 1590 13.68% 21.19% 65.13%-1.32 +2.3 15
2016-09-26 Hacken D 0-063.4 1478 1660 21.61% 23.53% 54.86%-0.75 +2.1 25
2016-09-26 @ GIF Sundsvall D 0-063.4 1660 1478 54.86% 23.53% 21.61%+0.75 -2.1 36
2016-09-26 Hammarby L 0-238.1 1348 1573 17.80% 22.65% 59.55%-0.99 -10.1 9
2016-09-26 @ Falkenbergs W 2-038.1 1573 1348 59.55% 22.65% 17.80%+0.99 +10.1 32
2016-09-26 Ostersund W 2-047.1 1671 1532 60.76% 22.38% 16.86%+1.06 +9.6 42
2016-09-26 @ Goteborg L 0-247.1 1532 1671 16.86% 22.38% 60.76%-1.06 -9.6 30
2016-09-30 Hammarby L 0-150.0 1465 1583 28.50% 24.41% 47.08%-0.39 -8.1 22
2016-09-30 @ Helsingborg W 1-050.0 1583 1465 47.08% 24.41% 28.50%+0.39 +8.1 35
2016-10-01 Falkenbergs W 6-135.6 1523 1338 65.16% 21.18% 13.66%+1.32 +15.1 33
2016-10-01 @ Ostersund L 1-635.6 1338 1523 13.66% 21.18% 65.16%-1.32 -15.1 9
2016-10-01 Jonkoping W 3-154.8 1480 1544 35.57% 24.73% 39.69%-0.08 +17.0 28
2016-10-01 @ GIF Sundsvall L 1-354.8 1544 1480 39.69% 24.73% 35.57%+0.08 -17.0 29
2016-10-01 Malmo L 2-463.8 1658 1782 27.75% 24.35% 47.90%-0.42 -11.5 36
2016-10-01 @ Hacken W 4-263.8 1782 1658 47.90% 24.35% 27.75%+0.42 +11.5 57
2016-10-02 Elfsborg D 2-271.5 1407 1663 15.51% 21.92% 62.57%-1.17 +2.0 16
2016-10-02 @ Gefle D 2-271.5 1663 1407 62.57% 21.92% 15.51%+1.17 -2.0 35
2016-10-02 Goteborg W 4-267.1 1581 1680 30.81% 24.57% 44.62%-0.28 +16.7 38
2016-10-02 @ Kalmar L 2-467.1 1680 1581 44.62% 24.57% 30.81%+0.28 -16.7 42
2016-10-02 Norrkoping W 6-054.9 1743 1767 41.34% 24.70% 33.97%+0.15 +48.6 50
2016-10-02 @ AIK Stockholm L 0-654.9 1767 1743 33.97% 24.70% 41.34%-0.15 -48.6 53
2016-10-02 Orebro W 3-265.2 1594 1587 45.45% 24.52% 30.03%+0.32 +7.5 34
2016-10-02 @ Djurgarden L 2-365.2 1587 1594 30.03% 24.52% 45.45%-0.32 -7.5 36
2016-10-15 GIF Sundsvall D 1-156.8 1323 1497 22.37% 23.67% 53.97%-0.70 +1.8 10
2016-10-15 @ Falkenbergs D 1-156.8 1497 1323 53.97% 23.67% 22.37%+0.70 -1.8 29
2016-10-16 Hacken D 1-168.2 1527 1646 28.38% 24.40% 47.22%-0.39 +1.0 30
2016-10-16 @ Jonkoping D 1-168.2 1646 1527 47.22% 24.40% 28.38%+0.39 -1.0 37
2016-10-16 Helsingborg W 1-046.5 1661 1457 66.82% 20.65% 12.53%+1.43 +3.8 38
2016-10-16 @ Elfsborg L 0-146.5 1457 1661 12.53% 20.65% 66.82%-1.43 -3.8 22
2016-10-16 Kalmar W 2-160.7 1580 1597 42.15% 24.67% 33.17%+0.18 +8.6 39
2016-10-16 @ Orebro L 1-260.7 1597 1580 33.17% 24.67% 42.15%-0.18 -8.6 38
2016-10-16 Malmo L 1-264.7 1718 1794 33.99% 24.70% 41.31%-0.15 -8.8 53
2016-10-16 @ Norrkoping W 2-164.7 1794 1718 41.31% 24.70% 33.99%+0.15 +8.7 60
2016-10-16 Ostersund W 2-046.1 1792 1538 70.85% 19.15% 10.00%+1.72 +5.6 53
2016-10-16 @ AIK Stockholm L 0-246.1 1538 1792 10.00% 19.15% 70.85%-1.72 -5.6 33
2016-10-17 Djurgarden W 4-262.1 1592 1602 43.17% 24.64% 32.20%+0.22 +13.0 38
2016-10-17 @ Hammarby L 2-462.1 1602 1592 32.20% 24.64% 43.17%-0.22 -13.0 34
2016-10-17 Gefle D 3-376.7 1664 1409 70.87% 19.15% 9.99%+1.72 -2.3 43
2016-10-17 @ Goteborg D 3-376.7 1409 1664 9.99% 19.15% 70.87%-1.72 +2.3 17
2016-10-21 GIF Sundsvall D 1-159.1 1412 1495 32.90% 24.67% 42.44%-0.19 +0.5 18
2016-10-21 @ Gefle D 1-159.1 1495 1412 42.44% 24.67% 32.90%+0.19 -0.5 30
2016-10-22 Ostersund L 0-362.4 1803 1532 72.06% 18.65% 9.29%+1.81 -47.4 60
2016-10-22 @ Malmo W 3-062.4 1532 1803 9.29% 18.65% 72.06%-1.81 +47.4 36
2016-10-23 Elfsborg L 2-464.8 1605 1665 36.07% 24.74% 39.19%-0.06 -14.2 38
2016-10-23 @ Hammarby W 4-264.8 1665 1605 39.19% 24.74% 36.07%+0.06 +14.2 41
2016-10-23 Falkenbergs W 2-145.0 1710 1325 79.57% 14.95% 5.48%+2.45 +1.4 56
2016-10-23 @ Norrkoping L 1-245.0 1325 1710 5.48% 14.95% 79.57%-2.45 -1.4 10
2016-10-23 Helsingborg D 0-060.5 1588 1453 60.44% 22.45% 17.11%+1.04 -2.8 40
2016-10-23 @ Orebro D 0-060.5 1453 1588 17.11% 22.45% 60.44%-1.04 +2.8 23
2016-10-23 Kalmar L 2-372.6 1645 1589 51.75% 23.96% 24.29%+0.60 -11.6 37
2016-10-23 @ Hacken W 3-272.6 1589 1645 24.29% 23.96% 51.75%-0.60 +11.6 41
2016-10-24 AIK Stockholm W 1-063.8 1661 1798 26.39% 24.22% 49.40%-0.49 +12.5 46
2016-10-24 @ Goteborg L 0-163.8 1798 1661 49.40% 24.22% 26.39%+0.49 -12.5 53
2016-10-24 Jonkoping L 0-255.8 1589 1528 52.28% 23.89% 23.82%+0.62 -24.7 34
2016-10-24 @ Djurgarden W 2-055.8 1528 1589 23.82% 23.89% 52.28%-0.62 +24.7 33
2016-10-26 Gefle L 0-158.8 1600 1412 65.46% 21.09% 13.45%+1.34 -16.0 41
2016-10-26 @ Kalmar W 1-058.8 1412 1600 13.45% 21.09% 65.46%-1.34 +16.0 21
2016-10-26 Hammarby W 2-051.6 1580 1590 43.11% 24.64% 32.25%+0.22 +16.8 39
2016-10-26 @ Ostersund L 0-251.6 1590 1580 32.25% 24.64% 43.11%-0.22 -16.8 38
2016-10-26 Malmo L 0-336.6 1323 1755 6.98% 16.63% 76.39%-2.16 -5.5 10
2016-10-26 @ Falkenbergs W 3-036.6 1755 1323 76.39% 16.63% 6.98%+2.16 +5.5 63
2016-10-26 Norrkoping W 2-164.5 1679 1711 40.15% 24.73% 35.13%+0.10 +9.0 44
2016-10-26 @ Elfsborg L 1-264.5 1711 1679 35.13% 24.73% 40.15%-0.10 -9.0 56
2016-10-27 Djurgarden L 1-254.6 1456 1564 29.78% 24.51% 45.71%-0.33 -7.9 23
2016-10-27 @ Helsingborg W 2-154.6 1564 1456 45.71% 24.51% 29.78%+0.33 +7.9 37
2016-10-27 Goteborg L 1-353.8 1495 1674 21.88% 23.58% 54.53%-0.73 -10.5 30
2016-10-27 @ GIF Sundsvall W 3-153.8 1674 1495 54.53% 23.58% 21.88%+0.73 +10.5 49
2016-10-27 Hacken W 2-158.1 1785 1634 62.06% 22.06% 15.88%+1.14 +4.5 56
2016-10-27 @ AIK Stockholm L 1-258.1 1634 1785 15.88% 22.06% 62.06%-1.14 -4.5 37
2016-10-27 Orebro D 1-167.2 1553 1586 39.99% 24.73% 35.28%+0.09 -0.2 34
2016-10-27 @ Jonkoping D 1-167.2 1586 1553 35.28% 24.73% 39.99%-0.09 +0.2 41
2016-10-30 GIF Sundsvall W 2-044.4 1584 1484 56.80% 23.20% 20.00%+0.85 +11.2 44
2016-10-30 @ Kalmar L 0-244.4 1484 1584 20.00% 23.20% 56.80%-0.85 -11.2 30
2016-10-30 Helsingborg L 1-440.4 1318 1448 27.04% 24.28% 48.68%-0.46 -17.8 10
2016-10-30 @ Falkenbergs W 4-140.4 1448 1318 48.68% 24.28% 27.04%+0.46 +17.8 26
2016-10-30 Malmo W 1-065.1 1428 1761 10.97% 19.78% 69.24%-1.60 +16.8 24
2016-10-30 @ Gefle L 0-165.1 1761 1428 69.24% 19.78% 10.97%+1.60 -16.8 63
2016-10-30 Norrkoping D 1-170.3 1574 1702 27.28% 24.31% 48.41%-0.45 +1.2 39
2016-10-30 @ Hammarby D 1-170.3 1702 1574 48.41% 24.31% 27.28%+0.45 -1.1 57
2016-10-31 AIK Stockholm D 0-067.6 1552 1790 16.87% 22.38% 60.75%-1.06 +2.9 35
2016-10-31 @ Jonkoping D 0-067.6 1790 1552 60.75% 22.38% 16.87%+1.06 -2.9 57
2016-10-31 Elfsborg D 2-277.0 1684 1688 44.04% 24.60% 31.36%+0.26 -0.5 50
2016-10-31 @ Goteborg D 2-277.0 1688 1684 31.36% 24.60% 44.04%-0.26 +0.5 45
2016-10-31 Hacken W 1-057.8 1572 1629 36.54% 24.74% 38.72%-0.04 +10.2 40
2016-10-31 @ Djurgarden L 0-157.8 1629 1572 38.72% 24.74% 36.54%+0.04 -10.2 37
2016-10-31 Ostersund L 1-556.8 1586 1597 43.10% 24.64% 32.26%+0.22 -33.2 41
2016-10-31 @ Orebro W 5-156.8 1597 1586 32.26% 24.64% 43.10%-0.22 +33.2 42
2016-11-06 Djurgarden L 2-553.3 1473 1582 29.61% 24.50% 45.89%-0.34 -16.7 30
2016-11-06 @ GIF Sundsvall W 5-253.3 1582 1473 45.89% 24.50% 29.61%+0.34 +16.7 43
2016-11-06 Falkenbergs W 7-033.0 1619 1300 75.47% 17.08% 7.44%+2.08 +13.0 40
2016-11-06 @ Hacken L 0-733.0 1300 1619 7.44% 17.08% 75.47%-2.08 -13.0 10
2016-11-06 Gefle L 2-467.5 1630 1445 65.15% 21.18% 13.66%+1.32 -23.2 42
2016-11-06 @ Ostersund W 4-267.5 1445 1630 13.66% 21.18% 65.15%-1.32 +23.3 27
2016-11-06 Goteborg W 3-159.5 1701 1684 46.81% 24.43% 28.76%+0.38 +13.3 60
2016-11-06 @ Norrkoping L 1-359.5 1684 1701 28.76% 24.43% 46.81%-0.38 -13.3 50
2016-11-06 Hammarby W 3-045.9 1744 1575 63.72% 21.61% 14.67%+1.24 +12.1 66
2016-11-06 @ Malmo L 0-345.9 1575 1744 14.67% 21.61% 63.72%-1.24 -12.1 39
2016-11-06 Jonkoping W 2-050.0 1466 1555 32.17% 24.64% 43.19%-0.22 +21.0 29
2016-11-06 @ Helsingborg L 0-250.0 1555 1466 43.19% 24.64% 32.17%+0.22 -21.0 35
2016-11-06 Kalmar W 3-153.8 1787 1596 65.70% 21.01% 13.29%+1.36 +6.6 60
2016-11-06 @ AIK Stockholm L 1-353.8 1596 1787 13.29% 21.01% 65.70%-1.36 -6.5 44
2016-11-06 Orebro W 2-156.6 1689 1553 60.52% 22.43% 17.04%+1.05 +4.8 48
2016-11-06 @ Elfsborg L 1-256.6 1553 1689 17.04% 22.43% 60.52%-1.05 -4.8 41

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Record
2016-11-17 Helsingborg D 1-160.8 1470 1487 42.13% 24.68% 33.20%+0.18 -0.5 0-0-1
2016-11-17 @ Halmstad D 1-160.8 1487 1470 33.20% 24.68% 42.13%-0.18 +0.5 0-0-1
2016-11-20 Halmstad L 1-257.4 1488 1469 47.03% 24.42% 28.56%+0.39 -11.3 0-1-1
2016-11-20 @ Helsingborg W 2-157.4 1469 1488 28.56% 24.42% 47.03%-0.39 +11.3 1-0-1

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2016-10-22 9.29% Ostersund 1532 3 @ Malmo 1803 0
2 2016-10-30 10.97% @ Gefle 1428 1 Malmo 1761 0
3 2016-09-26 11.29% Djurgarden 1567 3 @ Norrkoping 1794 1
4 2016-10-26 13.45% Gefle 1412 1 @ Kalmar 1600 0
5 2016-11-06 13.66% Gefle 1445 4 @ Ostersund 1630 2
6 2016-04-22 15.45% @ Falkenbergs 1455 2 Norrkoping 1712 1
7 2016-04-11 15.46% GIF Sundsvall 1506 2 @ Malmo 1664 1
8 2016-09-18 17.20% @ Djurgarden 1563 3 Malmo 1796 1
9 2016-04-19 17.56% Hammarby 1551 3 @ Djurgarden 1681 1
10 2016-05-19 18.29% Kalmar 1498 3 @ Djurgarden 1618 0
11 2016-08-05 19.09% Gefle 1401 3 @ Helsingborg 1511 2
12 2016-05-08 20.81% @ Helsingborg 1529 2 Malmo 1720 1
13 2016-08-08 23.03% @ Djurgarden 1539 3 Goteborg 1707 1
14 2016-04-24 23.22% @ Orebro 1559 3 Goteborg 1724 2
15 2016-05-15 23.36% @ Ostersund 1535 2 Goteborg 1700 0
16 2016-07-16 23.58% Helsingborg 1500 2 @ GIF Sundsvall 1563 0
17 2016-04-24 23.78% GIF Sundsvall 1537 1 @ Hacken 1598 0
18 2016-10-24 23.82% Jonkoping 1528 2 @ Djurgarden 1589 0
19 2016-08-14 23.98% Orebro 1597 1 @ Hacken 1657 0
20 2016-10-23 24.29% Kalmar 1589 3 @ Hacken 1645 2
21 2016-04-10 24.88% @ Kalmar 1489 3 Elfsborg 1639 2
22 2016-08-21 25.36% @ Hammarby 1544 2 Goteborg 1690 0
23 2016-07-18 25.43% @ Gefle 1402 4 Kalmar 1547 2
24 2016-04-27 25.59% Malmo 1668 3 @ Goteborg 1713 0
25 2016-04-28 26.35% @ Helsingborg 1530 2 AIK Stockholm 1666 1

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-10-02 48.56 @ AIK Stockholm 6 1743 41.34% Norrkoping 0 1767 33.97% 24.70%
2 2016-10-22 47.39 Ostersund 3 1532 9.29% @ Malmo 0 1803 72.06% 18.65%
3 2016-05-21 41.31 @ GIF Sundsvall 5 1534 40.87% Ostersund 0 1561 34.42% 24.71%
4 2016-05-19 39.89 Kalmar 3 1498 18.29% @ Djurgarden 0 1618 58.92% 22.79%
5 2016-08-06 36.40 Jonkoping 5 1531 46.21% @ Falkenbergs 0 1420 29.32% 24.47%
6 2016-08-06 34.92 @ Ostersund 4 1512 38.94% GIF Sundsvall 0 1552 36.32% 24.74%
7 2016-04-27 34.69 Malmo 3 1668 25.59% @ Goteborg 0 1713 50.28% 24.13%
8 2016-10-31 33.22 Ostersund 5 1597 32.26% @ Orebro 1 1586 43.10% 24.64%
9 2016-09-26 27.21 Djurgarden 3 1567 11.29% @ Norrkoping 1 1794 68.74% 19.97%
10 2016-04-28 26.58 @ Elfsborg 3 1609 39.22% Djurgarden 0 1648 36.04% 24.74%
11 2016-04-10 26.45 @ Hammarby 5 1525 43.27% Helsingborg 1 1534 32.10% 24.63%
12 2016-05-19 26.14 Orebro 4 1595 50.64% @ Gefle 0 1449 25.27% 24.09%
13 2016-05-15 24.93 @ Ostersund 2 1535 23.36% Goteborg 0 1700 52.82% 23.83%
14 2016-07-16 24.82 Helsingborg 2 1500 23.58% @ GIF Sundsvall 0 1563 52.56% 23.86%
15 2016-10-24 24.71 Jonkoping 2 1528 23.82% @ Djurgarden 0 1589 52.28% 23.89%
16 2016-09-18 24.29 @ Djurgarden 3 1563 17.20% Malmo 1 1796 60.31% 22.48%
17 2016-04-19 24.12 Hammarby 3 1551 17.56% @ Djurgarden 1 1681 59.85% 22.59%
18 2016-08-21 23.99 @ Hammarby 2 1544 25.36% Goteborg 0 1690 50.54% 24.10%
19 2016-04-28 23.42 @ Hacken 6 1585 54.71% Gefle 1 1504 21.74% 23.55%
20 2016-11-06 23.26 Gefle 4 1445 13.66% @ Ostersund 2 1630 65.15% 21.18%
21 2016-08-01 22.45 Malmo 3 1741 46.48% @ Orebro 0 1628 29.07% 24.46%
22 2016-08-08 21.73 @ Djurgarden 3 1539 23.03% Goteborg 1 1707 53.19% 23.78%
23 2016-11-06 21.05 @ Helsingborg 2 1466 32.17% Jonkoping 0 1555 43.19% 24.64%
24 2016-05-22 20.88 @ Djurgarden 3 1578 49.17% Helsingborg 0 1543 26.60% 24.24%
25 2016-09-21 20.82 AIK Stockholm 3 1723 49.26% @ Djurgarden 0 1588 26.51% 24.23%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-04-11 81.5 @ AIK Stockholm 3 1678 37.64% Goteborg 3 1728 37.61% 24.75%
2 2016-07-16 81.3 @ Norrkoping 3 1743 68.73% Ostersund 3 1516 11.30% 19.98%
3 2016-05-22 79.0 @ Elfsborg 3 1654 59.21% Jonkoping 3 1531 18.07% 22.73%
4 2016-09-25 77.2 @ Elfsborg 2 1663 33.26% AIK Stockholm 2 1744 42.06% 24.68%
5 2016-10-31 77.0 @ Goteborg 2 1684 44.04% Elfsborg 2 1688 31.36% 24.60%
6 2016-05-22 76.9 @ Orebro 2 1621 28.62% Norrkoping 2 1738 46.96% 24.42%
7 2016-10-17 76.7 @ Goteborg 3 1664 70.87% Gefle 3 1409 9.99% 19.15%
8 2016-09-19 76.4 @ Hacken 2 1652 42.84% Goteborg 2 1664 32.51% 24.65%
9 2016-09-16 75.9 @ Orebro 3 1597 58.04% GIF Sundsvall 3 1485 18.99% 22.97%
10 2016-08-14 74.8 @ Djurgarden 2 1561 31.67% Elfsborg 2 1654 43.72% 24.61%
11 2016-04-24 73.8 @ Orebro 3 1559 23.22% Goteborg 2 1724 52.98% 23.80%
12 2016-10-23 72.6 Kalmar 3 1589 24.29% @ Hacken 2 1645 51.75% 23.96%
13 2016-07-17 72.0 @ Hammarby 3 1541 57.55% Falkenbergs 3 1434 19.38% 23.06%
14 2016-07-17 71.6 @ AIK Stockholm 1 1682 35.71% Malmo 1 1745 39.55% 24.74%
15 2016-04-06 71.5 @ Jonkoping 3 1544 27.10% Malmo 2 1675 48.62% 24.29%
16 2016-05-19 71.5 @ Goteborg 1 1675 35.63% Norrkoping 1 1738 39.63% 24.73%
17 2016-10-02 71.5 @ Gefle 2 1407 15.51% Elfsborg 2 1663 62.57% 21.92%
18 2016-07-23 71.4 @ Malmo 1 1745 67.84% Kalmar 1 1529 11.87% 20.30%
19 2016-08-14 71.4 @ Kalmar 1 1532 16.30% Malmo 1 1777 61.51% 22.20%
20 2016-09-12 71.3 @ Gefle 2 1413 16.61% Hacken 2 1654 61.09% 22.30%
21 2016-07-17 71.2 @ Elfsborg 1 1666 39.19% Goteborg 1 1704 36.07% 24.74%
22 2016-04-17 70.8 @ Goteborg 1 1728 68.77% Kalmar 1 1500 11.27% 19.96%
23 2016-10-30 70.3 @ Hammarby 1 1574 27.28% Norrkoping 1 1702 48.41% 24.31%
24 2016-04-10 69.9 @ Kalmar 3 1489 24.88% Elfsborg 2 1639 51.09% 24.04%
25 2016-07-31 69.9 @ Jonkoping 1 1530 21.87% Goteborg 1 1709 54.55% 23.58%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-11-06 33.0 @ Hacken 7 1619 75.47% Falkenbergs 0 1300 7.44% 17.08%
2 2016-09-21 33.7 @ Kalmar 3 1559 66.53% Falkenbergs 0 1359 12.73% 20.75%
3 2016-10-01 35.6 @ Ostersund 6 1523 65.16% Falkenbergs 1 1338 13.66% 21.18%
4 2016-09-18 35.9 @ Elfsborg 5 1658 73.36% Falkenbergs 0 1370 8.56% 18.08%
5 2016-10-26 36.6 Malmo 3 1755 76.39% @ Falkenbergs 0 1323 6.98% 16.63%
6 2016-09-26 38.1 Hammarby 2 1573 59.55% @ Falkenbergs 0 1348 17.80% 22.65%
7 2016-08-12 39.1 @ Goteborg 2 1685 74.32% Falkenbergs 0 1383 8.05% 17.64%
8 2016-10-30 40.4 Helsingborg 4 1448 48.68% @ Falkenbergs 1 1318 27.04% 24.28%
9 2016-05-14 41.0 @ Malmo 3 1707 70.52% Gefle 0 1457 10.19% 19.29%
10 2016-08-06 41.2 Jonkoping 5 1531 46.21% @ Falkenbergs 0 1420 29.32% 24.47%
11 2016-07-31 41.5 @ AIK Stockholm 2 1702 72.61% Falkenbergs 0 1425 8.98% 18.41%
12 2016-07-23 41.6 @ Norrkoping 2 1740 75.52% Gefle 0 1421 7.42% 17.06%
13 2016-05-23 42.2 @ Malmo 2 1721 73.15% Falkenbergs 0 1436 8.68% 18.17%
14 2016-05-19 42.7 Orebro 4 1595 50.64% @ Gefle 0 1449 25.27% 24.09%
15 2016-07-30 43.0 Hammarby 2 1519 45.02% @ Gefle 0 1417 30.43% 24.55%
16 2016-04-07 43.2 @ Djurgarden 5 1653 62.53% Falkenbergs 0 1497 15.53% 21.93%
17 2016-05-07 43.4 @ Elfsborg 2 1642 64.48% Gefle 0 1465 14.13% 21.39%
18 2016-08-22 43.7 @ Elfsborg 4 1654 60.62% GIF Sundsvall 0 1517 16.97% 22.41%
19 2016-09-11 43.7 @ Ostersund 2 1546 53.34% Helsingborg 0 1477 22.91% 23.76%
20 2016-09-25 43.7 @ Malmo 2 1778 74.78% Helsingborg 0 1470 7.80% 17.42%
21 2016-10-30 44.4 @ Kalmar 2 1584 56.80% GIF Sundsvall 0 1484 20.00% 23.20%
22 2016-08-28 44.5 @ Goteborg 2 1666 64.80% Helsingborg 0 1485 13.91% 21.29%
23 2016-09-18 44.7 @ AIK Stockholm 1 1721 74.59% Gefle 0 1415 7.90% 17.51%
24 2016-05-02 45.0 @ Norrkoping 3 1706 63.28% Helsingborg 0 1542 14.99% 21.73%
25 2016-10-23 45.0 @ Norrkoping 2 1710 79.57% Falkenbergs 1 1325 5.48% 14.95%