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2017 Allsvenskan Season

240 games · 2 promotion-playoff teams

Final

Champion

Malmo

64 points

Relegated

No relegation

Biggest Overachiever

Malmo

8.73 points above expected

64 points · 55.27 expected points

Biggest Disappointment

AFC Eskilstuna

10.89 points below expected

20 points · 30.89 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 19 7 4 64 63 27 +36 55.27 +8.73
2 AIK Stockholm 30 16 9 5 57 47 22 +25 53.46 +3.54
3 Djurgarden 30 15 8 7 53 54 30 +24 45.96 +7.04
4 Hacken 30 14 10 6 52 42 28 +14 44.29 +7.71
5 Ostersund 30 13 11 6 50 48 32 +16 42.62 +7.38
6 Norrkoping 30 14 6 10 48 45 40 +5 46.66 +1.34
7 Sirius 30 11 7 12 40 46 51 -5 41.75 -1.75
8 Elfsborg 30 10 9 11 39 53 59 -6 46.71 -7.71
9 Hammarby 30 9 11 10 38 42 43 -1 38.89 -0.89
10 Goteborg 30 9 10 11 37 42 40 +2 46.26 -9.26
11 Orebro 30 10 6 14 36 38 54 -16 33.89 +2.11
12 Kalmar 30 9 5 16 32 30 49 -19 35.22 -3.22
13 GIF Sundsvall 30 7 10 13 31 29 46 -17 27.92 +3.08
14 Jonkoping 30 6 12 12 30 31 46 -15 31.80 -1.80
15 Halmstad 30 5 9 16 24 29 45 -16 30.11 -6.11
16 AFC Eskilstuna 30 4 8 18 20 28 55 -27 30.89 -10.89

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 Malmo 64 55.27 +8.73
2 Hacken 52 44.29 +7.71
3 Ostersund 50 42.62 +7.38
4 Djurgarden 53 45.96 +7.04
5 AIK Stockholm 57 53.46 +3.54

Biggest Disappointments

# Team Actual Sim vsSim
1 AFC Eskilstuna 20 30.89 -10.89
2 Goteborg 37 46.26 -9.26
3 Elfsborg 39 46.71 -7.71
4 Halmstad 24 30.11 -6.11
5 Kalmar 32 35.22 -3.22

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 GIF Sundsvall 3 Aug 27 – Sep 18 1 in 69
2 Kalmar 3 Jul 23 – Aug 6 1 in 68
3 Orebro 3 May 29 – Jul 2 1 in 63
4 Norrkoping 4 May 12 – May 27 1 in 24
5 Malmo 4 May 29 – Jul 8 1 in 24

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Sirius 7 Aug 20 – Sep 29 1 in 7,684
2 Norrkoping 4 Jul 2 – Jul 30 1 in 95
3 AFC Eskilstuna 5 Apr 26 – May 18 1 in 56
4 Halmstad 5 Apr 27 – May 17 1 in 40
5 Goteborg 3 Oct 22 – Nov 5 1 in 39

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 GIF Sundsvall 6 Apr 23 – May 17 1 in 72
2 Norrkoping 10 Apr 23 – Jun 4 1 in 26
3 Kalmar 6 Aug 21 – Sep 24 1 in 25
4 Orebro 5 Jul 16 – Aug 13 1 in 22
5 Djurgarden 8 Aug 13 – Oct 1 1 in 20

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Halmstad 16 Apr 9 – Jul 30 1 in 85
2 AFC Eskilstuna 14 Apr 2 – Jul 8 1 in 76
3 Sirius 7 Aug 20 – Sep 29 1 in 51
4 Goteborg 6 Aug 20 – Sep 25 1 in 27
5 Elfsborg 5 Jul 24 – Aug 18 1 in 21

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 1733 64 +15 10 9.5 +0.5
AIK Stockholm 1725 57 +17 13 9.5 +3.5
Djurgarden 1638 53 +8 8 9.0 -1.0
Hacken 1626 52 +26 11 7.0 +4.0
Ostersund 1628 50 +27 11 8.1 +2.9
Norrkoping 1608 48 +9 8 7.6 +0.4
Sirius 1520 40 -4 7 5.3 +1.7
Elfsborg 1567 39 -11 7 6.8 +0.2
Hammarby 1528 38 -26 4 7.7 -3.7
Goteborg 1567 37 -17 6 7.9 -1.9
Orebro 1468 36 -22 3 5.4 -2.4
Kalmar 1492 32 -23 3 5.9 -2.9
GIF Sundsvall 1448 31 -5 4 4.3 -0.3
Jonkoping 1478 30 +12 6 4.6 +1.4
Halmstad 1453 24 +15 7 4.7 +2.3
AFC Eskilstuna 1436 20 -23 2 5.7 -3.7

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 AE AS DJU ELF GS GOT HAC HAL HAM JON KAL MAL NOR ORE OST SIR
AFC Eskilstuna —
0-1-1
1.34
0-0-2
1.76
0-0-2
1.83
0-0-2
2.96
1-1-0
1.85
0-1-1
1.74
0-2-0
2.88
0-1-1
2.19
0-1-1
2.56
1-0-1
2.55
1-0-1
1.21
0-0-2
1.70
1-1-0
2.49
0-0-2
2.21
0-0-2
2.02
AIK Stockholm
1-1-0
4.21
 —
1-1-0
3.31
2-0-0
3.32
0-2-0
4.22
1-0-1
3.48
1-1-0
3.32
2-0-0
4.25
0-1-1
3.73
1-0-1
4.08
1-0-1
4.07
0-1-1
2.67
1-1-0
3.02
2-0-0
4.20
1-1-0
3.47
2-0-0
3.29
Djurgarden
2-0-0
3.69
0-1-1
2.11
 —
1-1-0
2.48
2-0-0
3.89
2-0-0
2.66
0-2-0
2.64
2-0-0
3.56
0-1-1
3.15
0-2-0
3.52
2-0-0
3.55
0-0-2
2.00
1-1-0
2.45
2-0-0
3.32
1-0-1
2.77
0-0-2
3.29
Elfsborg
2-0-0
3.63
0-0-2
2.12
0-1-1
2.92
 —
1-1-0
3.76
0-1-1
2.78
1-0-1
2.73
1-1-0
3.94
1-0-1
3.35
1-1-0
3.58
1-1-0
3.37
0-0-2
2.15
1-1-0
2.47
1-1-0
3.43
0-1-1
2.76
0-0-2
3.06
GIF Sundsvall
2-0-0
2.43
0-2-0
1.33
0-0-2
1.59
0-1-1
1.71
 —
1-0-1
1.78
0-0-2
1.82
1-1-0
2.70
0-1-1
2.08
0-2-0
2.45
0-0-2
2.44
0-0-2
1.38
0-2-0
1.62
2-0-0
2.35
0-1-1
1.83
1-0-1
1.73
Goteborg
0-1-1
3.59
1-0-1
1.96
0-0-2
2.74
1-1-0
2.62
1-0-1
3.69
 —
0-1-1
2.84
1-1-0
3.90
0-1-1
3.18
1-1-0
3.58
1-0-1
3.41
0-2-0
2.19
1-0-1
2.49
0-1-1
3.46
0-1-1
2.89
2-0-0
3.08
Hacken
1-1-0
3.72
0-1-1
2.10
0-2-0
2.77
1-0-1
2.67
2-0-0
3.65
1-1-0
2.55
 —
2-0-0
3.86
2-0-0
2.97
2-0-0
3.58
2-0-0
3.46
1-0-1
1.94
0-0-2
2.80
0-2-0
3.25
0-1-1
2.84
0-2-0
2.84
Halmstad
0-2-0
2.53
0-0-2
1.32
0-0-2
1.90
0-1-1
1.56
0-1-1
2.69
0-1-1
1.59
0-0-2
1.63
 —
1-0-1
1.99
1-1-0
2.41
0-1-1
2.25
0-0-2
1.36
1-0-1
1.51
1-1-0
2.39
1-1-0
1.98
0-0-2
1.81
Hammarby
1-1-0
3.22
1-1-0
1.74
1-1-0
2.27
1-0-1
2.07
1-1-0
3.34
1-1-0
2.24
0-0-2
2.43
1-0-1
3.44
 —
0-1-1
3.16
0-1-1
2.82
0-1-1
1.81
0-0-2
2.21
2-0-0
3.00
0-1-1
2.57
0-2-0
2.62
Jonkoping
1-1-0
2.84
1-0-1
1.46
0-2-0
1.94
0-1-1
1.86
0-2-0
2.94
0-1-1
1.88
0-0-2
1.88
0-1-1
2.99
1-1-0
2.25
 —
2-0-0
2.37
0-0-2
1.52
0-0-2
1.92
0-0-2
2.50
0-2-0
1.83
1-1-0
2.15
Kalmar
1-0-1
2.85
1-0-1
1.45
0-0-2
1.89
0-1-1
2.06
2-0-0
2.96
1-0-1
2.01
0-0-2
1.98
1-1-0
3.15
1-1-0
2.57
0-0-2
3.03
 —
0-1-1
1.52
0-1-1
1.95
0-0-2
2.86
1-0-1
2.04
1-0-1
2.15
Malmo
1-0-1
4.38
1-1-0
2.72
2-0-0
3.43
2-0-0
3.28
2-0-0
4.15
0-2-0
3.23
1-0-1
3.50
2-0-0
4.20
1-1-0
3.65
2-0-0
3.99
1-1-0
3.99
 —
1-0-1
3.34
1-0-1
3.98
1-1-0
3.46
1-1-0
3.85
Norrkoping
2-0-0
3.77
0-1-1
2.38
0-1-1
2.95
0-1-1
2.93
0-2-0
3.86
1-0-1
2.91
2-0-0
2.59
1-0-1
4.01
2-0-0
3.21
2-0-0
3.52
1-1-0
3.49
1-0-1
2.07
 —
1-0-1
3.75
0-0-2
3.20
1-0-1
2.95
Orebro
0-1-1
2.92
0-0-2
1.35
0-0-2
2.12
0-1-1
2.00
0-0-2
3.05
1-1-0
1.97
0-2-0
2.17
0-1-1
3.02
0-0-2
2.41
2-0-0
2.89
2-0-0
2.54
1-0-1
1.53
1-0-1
1.72
 —
1-0-1
2.23
2-0-0
2.10
Ostersund
2-0-0
3.22
0-1-1
1.96
1-0-1
2.63
1-1-0
2.66
1-1-0
3.62
1-1-0
2.50
1-1-0
2.57
0-1-1
3.47
1-1-0
2.83
0-2-0
3.62
1-0-1
3.38
0-1-1
1.98
2-0-0
2.21
1-0-1
3.20
 —
1-1-0
2.63
Sirius
2-0-0
3.42
0-0-2
2.13
2-0-0
2.12
2-0-0
2.35
1-0-1
3.74
0-0-2
2.33
0-2-0
2.56
2-0-0
3.65
0-2-0
2.79
0-1-1
3.27
1-0-1
3.26
0-1-1
1.63
1-0-1
2.47
0-0-2
3.31
0-1-1
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 0.75 +10.3
Allowed 0.64 -8.9
Differential 0.92 +6.4

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
08.33%6.88%5.21%3.96%1.46%0.83%26.67%
16.88%11.25%9.17%3.33%2.08%0.62%33.33%
25.21%9.17%7.08%1.04%0.62%0.21%23.33%
33.96%3.33%1.04%1.67%0.21%—10.21%
41.46%2.08%0.62%0.21%0.42%—4.79%
5+0.83%0.62%0.21%———1.67%
Total26.67%33.33%23.33%10.21%4.79%1.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.39 1.39 +0.00
SD 1.24 1.24 1.86
CV 0.89 0.89 —
Max 6 6 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
010.00%10.00%3.33%6.67%3.33%—33.33%
13.33%13.33%13.33%13.33%3.33%—46.67%
2—3.33%3.33%6.67%——13.33%
3—3.33%3.33%———6.67%
4———————
5+———————
Total13.33%30.00%23.33%26.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.93 1.83 -0.90
SD 0.87 1.18 1.37
CV 0.93 0.64 —
Max 3 4 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%6.67%————23.33%
120.00%10.00%10.00%———40.00%
23.33%10.00%3.33%———16.67%
33.33%3.33%————6.67%
4—6.67%————6.67%
5+—3.33%3.33%———6.67%
Total43.33%40.00%16.67%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 0.73 +0.83
SD 1.55 0.74 1.46
CV 0.99 1.01 —
Max 6 2 +5
Min 0 0 -1

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%6.67%———20.00%
110.00%13.33%3.33%3.33%——30.00%
23.33%10.00%3.33%3.33%——20.00%
36.67%3.33%—3.33%——13.33%
43.33%10.00%————13.33%
5+3.33%—————3.33%
Total33.33%43.33%13.33%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.80 1.00 +0.80
SD 1.45 0.95 1.83
CV 0.80 0.95 —
Max 5 3 +5
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
0——3.33%6.67%—3.33%13.33%
13.33%10.00%13.33%—6.67%—33.33%
23.33%6.67%13.33%——3.33%26.67%
310.00%3.33%3.33%3.33%——20.00%
4————3.33%—3.33%
5+—3.33%————3.33%
Total16.67%23.33%33.33%10.00%10.00%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.97 -0.20
SD 1.22 1.52 2.22
CV 0.69 0.77 —
Max 5 6 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%3.33%6.67%3.33%3.33%3.33%36.67%
16.67%6.67%13.33%6.67%3.33%—36.67%
23.33%6.67%10.00%———20.00%
33.33%3.33%————6.67%
4———————
5+———————
Total30.00%20.00%30.00%10.00%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.53 -0.57
SD 0.93 1.38 1.77
CV 0.96 0.90 —
Max 3 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—13.33%3.33%3.33%3.33%—23.33%
1—26.67%6.67%3.33%——36.67%
26.67%10.00%6.67%—3.33%—26.67%
33.33%—————3.33%
46.67%3.33%————10.00%
5+———————
Total16.67%53.33%16.67%6.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.33 +0.07
SD 1.19 1.06 1.89
CV 0.85 0.80 —
Max 4 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%6.67%3.33%———26.67%
16.67%10.00%3.33%—3.33%3.33%26.67%
210.00%13.33%6.67%———30.00%
310.00%3.33%————13.33%
43.33%—————3.33%
5+———————
Total46.67%33.33%13.33%—3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 0.93 +0.47
SD 1.13 1.34 1.85
CV 0.81 1.43 —
Max 4 6 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%13.33%6.67%10.00%——40.00%
16.67%13.33%16.67%—3.33%—40.00%
2—3.33%6.67%3.33%——13.33%
3—3.33%————3.33%
4———————
5+—3.33%————3.33%
Total16.67%36.67%30.00%13.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.50 -0.53
SD 1.25 1.04 1.63
CV 1.29 0.69 —
Max 6 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%10.00%3.33%3.33%—26.67%
1—20.00%10.00%3.33%——33.33%
2—13.33%6.67%———20.00%
33.33%6.67%—3.33%——13.33%
43.33%3.33%————6.67%
5+———————
Total13.33%46.67%26.67%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.43 -0.03
SD 1.22 0.97 1.77
CV 0.87 0.68 —
Max 4 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%10.00%6.67%——30.00%
16.67%16.67%13.33%3.33%—3.33%43.33%
23.33%3.33%13.33%———20.00%
3—6.67%————6.67%
4———————
5+———————
Total20.00%30.00%36.67%10.00%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.53 -0.50
SD 0.89 1.25 1.57
CV 0.86 0.82 —
Max 3 6 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%13.33%13.33%6.67%—3.33%40.00%
16.67%10.00%6.67%3.33%3.33%3.33%33.33%
210.00%3.33%3.33%———16.67%
33.33%3.33%————6.67%
4——3.33%———3.33%
5+———————
Total23.33%30.00%26.67%10.00%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.63 -0.63
SD 1.08 1.50 2.08
CV 1.08 0.92 —
Max 4 6 +3
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%—————6.67%
113.33%6.67%10.00%3.33%——33.33%
210.00%13.33%6.67%———30.00%
33.33%3.33%6.67%3.33%——16.67%
46.67%—————6.67%
5+6.67%—————6.67%
Total46.67%23.33%23.33%6.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.10 0.90 +1.20
SD 1.47 0.99 1.88
CV 0.70 1.11 —
Max 6 3 +6
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%6.67%———23.33%
16.67%3.33%3.33%6.67%3.33%—23.33%
213.33%16.67%3.33%—3.33%—36.67%
33.33%—3.33%6.67%——13.33%
4—3.33%————3.33%
5+———————
Total30.00%33.33%16.67%13.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.33 +0.17
SD 1.11 1.24 1.60
CV 0.74 0.93 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%6.67%10.00%3.33%—33.33%
16.67%3.33%10.00%3.33%3.33%—26.67%
2—16.67%10.00%3.33%——30.00%
3———————
4——6.67%3.33%——10.00%
5+———————
Total13.33%26.67%33.33%20.00%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.80 -0.53
SD 1.23 1.13 1.63
CV 0.97 0.63 —
Max 4 4 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%3.33%—6.67%——23.33%
110.00%10.00%10.00%———30.00%
23.33%10.00%10.00%———23.33%
36.67%6.67%————13.33%
4—3.33%——3.33%—6.67%
5+3.33%—————3.33%
Total36.67%33.33%20.00%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 1.07 +0.53
SD 1.35 1.08 1.70
CV 0.85 1.01 —
Max 5 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%3.33%—6.67%3.33%26.67%
13.33%6.67%3.33%3.33%3.33%—20.00%
213.33%6.67%6.67%—3.33%—30.00%
36.67%3.33%—6.67%3.33%—20.00%
4—3.33%————3.33%
5+———————
Total26.67%30.00%13.33%10.00%16.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.70 -0.17
SD 1.20 1.56 2.13
CV 0.78 0.92 —
Max 4 5 +3
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
Malmo 1733 64 55.27 +8.73 92.0% 34 45 51 56 59 66 68
AIK Stockholm 1725 57 53.46 +3.54 73.0% 39 43 49 54 58 64 68
Djurgarden 1638 53 45.96 +7.04 87.0% 31 35 41 45 51 56 61
Ostersund 1628 50 42.62 +7.38 85.0% 26 30 39 43 47 55 58
Hacken 1626 52 44.29 +7.71 88.0% 28 33 40 44 49 55 63
Norrkoping 1608 48 46.66 +1.34 61.0% 30 35 41 47 52 57 63
Goteborg 1567 37 46.26 -9.26 11.0% 31 34 41 46 51 57 63
Elfsborg 1567 39 46.71 -7.71 18.0% 30 36 41 47 52 59 63
Hammarby 1528 38 38.89 -0.89 52.0% 24 27 34 38 43 50 58
Sirius 1520 40 41.75 -1.75 48.0% 23 31 36 41 46 54 59
Kalmar 1492 32 35.22 -3.22 32.0% 20 25 31 35 39 46 50
Orebro 1468 36 33.89 +2.11 67.0% 14 22 31 34 38 43 53
Jonkoping 1465 30 31.80 -1.80 44.0% 17 21 27 32 36 42 51
Halmstad 1453 24 30.11 -6.11 25.0% 15 18 24 30 35 43 47
GIF Sundsvall 1448 31 27.92 +3.08 70.0% 7 17 24 27 33 38 47
AFC Eskilstuna 1436 20 30.89 -10.89 4.0% 14 21 25 31 36 42 50

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
+10.42%
No Edge
40.83%28.75%30.42%
Elo Value
Home Edge: 36.32 Elo pts.
168 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
+0.26 goals
Neutral
-2+0.22+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
3.6
Top-Heavy
134510
Champion Preseason Odds
43%
Malmo, 1st of 16
LongshotFavorite
Title Margin
Expected
0.23/gm
Runaway
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 5.44 * Some Luck: 5.44 to 8.16 * Lucky: 8.16 to 10.89 * Wild Swing: 10.89 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 1.92 * Close: 1.92 to 2.88 * Off: 2.88 to 3.84 * Way Off: 3.84 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
6.05 points
Some Luck
06.8017
Average Finish Error
Expected
2.00
Close
02.405
Biggest Overachiever
Expected 96.88%
92.00%
Malmo
50100
Biggest Underachiever
Expected 3.12%
4.00%
AFC Eskilstuna
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
0.17
Top-Heavy
00.140.5
Noll-Scully
Elo SD: 95.31
1.74
Strong Separation
0.951.41.652.75
Interquartile Edge
70%
Clear Edge
50%63%71.5%100%
Best vs. Worst
Baseline
85%
Clear Edge
50%89%100%
Close Games
Expected
63%
Very Frequent
0%58%100%
Blowouts
Expected
18%
Occasional
0%18%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
0.62
Predictable
00.622
Matchup Imbalance
0.31
Slight Separation
00.30.40.5
Strangeness
Expected
0.78
Very Predictable
01.002
Repeatability
0.80
Near-Lock
00.380.530.691
Upset Rate
Expected
24%
As Expected
0%25%50%
Clear Favorite Upset Rate
Expected
20%
As Expected
0%21%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 0.22 * Well Above Noise: 0.22 and up.
Probability calibration
0.95
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.08
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.062
Well Within Noise
00.1120.25

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

Trelleborg 3
Jonkoping 1

Leg 1: Trelleborg 2-0 Jonkoping

Leg 2: Jonkoping 1-1 Trelleborg

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
Malmo43.00%22.00%13.00%5.00%8.00%5.00%2.00%—1.00%———1.00%———
AIK Stockholm27.00%30.00%10.00%11.00%7.00%7.00%4.00%1.00%1.00%1.00%1.00%—————
Djurgarden4.00%9.00%16.00%13.00%5.00%12.00%11.00%12.00%8.00%3.00%4.00%1.00%—1.00%1.00%—
Hacken1.00%6.00%15.00%8.00%11.00%8.00%8.00%10.00%11.00%7.00%7.00%6.00%—1.00%1.00%—
Ostersund1.00%4.00%7.00%12.00%10.00%10.00%14.00%9.00%11.00%4.00%1.00%7.00%1.00%5.00%4.00%—
Norrkoping5.00%10.00%16.00%12.00%16.00%9.00%4.00%9.00%8.00%4.00%2.00%3.00%—2.00%——
Sirius2.00%2.00%3.00%8.00%10.00%11.00%9.00%9.00%10.00%11.00%10.00%8.00%4.00%—2.00%1.00%
Elfsborg8.00%8.00%7.00%15.00%15.00%9.00%7.00%13.00%4.00%7.00%2.00%3.00%1.00%——1.00%
Hammarby1.00%1.00%1.00%5.00%3.00%6.00%11.00%10.00%13.00%18.00%6.00%6.00%5.00%10.00%4.00%—
Goteborg8.00%7.00%10.00%7.00%13.00%12.00%10.00%9.00%8.00%6.00%5.00%4.00%——1.00%—
Orebro—1.00%——1.00%2.00%3.00%4.00%3.00%11.00%15.00%15.00%18.00%12.00%6.00%9.00%
Kalmar——1.00%2.00%—4.00%7.00%8.00%6.00%5.00%15.00%12.00%17.00%8.00%7.00%8.00%
GIF Sundsvall——————2.00%2.00%2.00%3.00%6.00%7.00%6.00%17.00%24.00%31.00%
Jonkoping——1.00%—1.00%1.00%3.00%3.00%2.00%6.00%14.00%11.00%14.00%14.00%17.00%13.00%
Halmstad———1.00%—3.00%2.00%1.00%4.00%6.00%6.00%7.00%17.00%19.00%13.00%21.00%
AFC Eskilstuna———1.00%—1.00%3.00%—8.00%8.00%6.00%10.00%16.00%11.00%20.00%16.00%

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% — —
Malmo 100% — —
Elfsborg 99.00% — 1.00%
Goteborg 99.00% — 1.00%
Djurgarden 98.00% 1.00% 1.00%
Hacken 98.00% 1.00% 1.00%
Norrkoping 98.00% 2.00% —
Sirius 97.00% — 3.00%
Ostersund 91.00% 5.00% 4.00%
Hammarby 86.00% 10.00% 4.00%
Kalmar 77.00% 8.00% 15.00%
Orebro 73.00% 12.00% 15.00%
AFC Eskilstuna 53.00% 11.00% 36.00%
Halmstad 47.00% 19.00% 34.00%
GIF Sundsvall 28.00% 17.00% 55.00%
Jonkoping — 100% —
Loser →
↓ Winner
AFC EskilstunaAtvidabergBrommapojkarnaDalkurdDegerforsDjurgardenFalkenbergsFrejGAISGIF SundsvallGefleGoteborgHalmstadHammarbyHelsingborgJonkopingKalmarNorrbyOrebroOrgryteOsterOstersundSiriusSyrianskaTrelleborgVarbergVarnamo
AFC Eskilstuna20.0%5.00%0.0%2.00%0.0%1.00%50.0%2.00%50.0%2.00%100.0%1.00%100.0%1.00%0.0%1.00%25.0%4.00%
Atvidaberg100.0%1.00%
Brommapojkarna80.0%5.00%66.7%6.00%66.7%3.00%0.0%1.00%100.0%3.00%100.0%1.00%50.0%2.00%
Dalkurd100.0%2.00%100.0%1.00%100.0%1.00%100.0%1.00%
Degerfors100.0%1.00%100.0%1.00%
Djurgarden100.0%1.00%
Falkenbergs100.0%1.00%
Frej50.0%2.00%0.0%1.00%
GAIS50.0%2.00%0.0%1.00%100.0%1.00%0.0%1.00%
GIF Sundsvall33.3%6.00%0.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%50.0%2.00%50.0%2.00%0.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%
Gefle0.0%1.00%100.0%1.00%0.0%1.00%0.0%2.00%
Goteborg100.0%2.00%100.0%2.00%
Halmstad33.3%3.00%100.0%1.00%0.0%1.00%100.0%2.00%100.0%2.00%100.0%1.00%100.0%2.00%20.0%5.00%
Hammarby100.0%1.00%0.0%1.00%50.0%2.00%100.0%1.00%
Helsingborg0.0%1.00%0.0%1.00%50.0%2.00%0.0%2.00%50.0%2.00%40.0%5.00%0.0%1.00%0.0%2.00%0.0%1.00%0.0%1.00%
Jonkoping0.0%3.00%0.0%1.00%100.0%1.00%60.0%5.00%100.0%1.00%50.0%2.00%
Kalmar0.0%1.00%100.0%2.00%100.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
Norrby0.0%1.00%50.0%2.00%0.0%2.00%0.0%1.00%0.0%1.00%
Orebro0.0%1.00%50.0%2.00%0.0%1.00%100.0%1.00%100.0%2.00%100.0%1.00%100.0%1.00%
Orgryte100.0%1.00%
Oster100.0%1.00%100.0%1.00%0.0%2.00%0.0%2.00%
Ostersund100.0%1.00%100.0%1.00%
Sirius100.0%1.00%100.0%1.00%0.0%1.00%
Syrianska0.0%1.00%
Trelleborg75.0%4.00%0.0%1.00%0.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
Varberg0.0%1.00%0.0%2.00%0.0%1.00%0.0%1.00%0.0%1.00%
Varnamo80.0%5.00%50.0%2.00%0.0%1.00%0.0%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
Jonkoping 57.10%
Trelleborg 42.90%
Loser →
↓ Winner
JonkopingTrelleborg
Jonkoping57.1%100.00%
Trelleborg42.9%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
2017-04-01 Malmo D 1-167.9 1591 1642 32.81% 30.46% 36.73%-0.09 +0.1 1
2017-04-01 @ Goteborg D 1-167.9 1642 1591 36.73% 30.46% 32.81%+0.09 -0.1 1
2017-04-01 Ostersund W 1-054.4 1479 1553 29.80% 30.21% 39.99%-0.23 +7.0 3
2017-04-01 @ Halmstad L 0-154.4 1553 1479 39.99% 30.21% 29.80%+0.23 -7.0 0
2017-04-02 AFC Eskilstuna W 3-155.0 1467 1525 32.02% 30.42% 37.56%-0.13 +10.9 3
2017-04-02 @ GIF Sundsvall L 1-355.0 1525 1467 37.56% 30.42% 32.02%+0.13 -10.9 0
2017-04-02 Hacken D 0-064.5 1668 1573 52.97% 27.01% 20.02%+0.78 -1.3 1
2017-04-02 @ AIK Stockholm D 0-064.5 1573 1668 20.02% 27.01% 52.97%-0.78 +1.3 1
2017-04-02 Hammarby W 2-157.0 1615 1527 51.98% 27.37% 20.64%+0.74 +3.9 3
2017-04-02 @ Norrkoping L 1-257.0 1527 1615 20.64% 27.37% 51.98%-0.74 -3.9 0
2017-04-03 Elfsborg L 1-554.4 1544 1611 30.72% 30.32% 38.97%-0.19 -17.2 0
2017-04-03 @ Kalmar W 5-154.4 1611 1544 38.97% 30.32% 30.72%+0.19 +17.2 3
2017-04-03 Jonkoping W 2-156.5 1519 1511 41.23% 30.06% 28.71%+0.26 +5.2 3
2017-04-03 @ Orebro L 1-256.5 1511 1519 28.71% 30.06% 41.23%-0.26 -5.2 0
2017-04-03 Sirius L 0-253.6 1549 1540 41.37% 30.04% 28.58%+0.27 -13.5 0
2017-04-03 @ Djurgarden W 2-053.6 1540 1549 28.58% 30.04% 41.37%-0.27 +13.5 3
2017-04-08 Orebro D 2-268.2 1514 1524 38.78% 30.33% 30.88%+0.16 -0.2 1
2017-04-08 @ AFC Eskilstuna D 2-268.2 1524 1514 30.88% 30.33% 38.78%-0.16 +0.2 4
2017-04-09 Djurgarden D 0-060.5 1574 1536 45.54% 29.28% 25.18%+0.45 -0.8 2
2017-04-09 @ Hacken D 0-060.5 1536 1574 25.18% 29.28% 45.54%-0.45 +0.8 1
2017-04-09 Goteborg L 0-253.5 1554 1591 34.90% 30.50% 34.60%+0.00 -12.0 3
2017-04-09 @ Sirius W 2-053.5 1591 1554 34.60% 30.50% 34.90%+0.00 +12.0 4
2017-04-09 Halmstad D 2-266.6 1506 1486 42.97% 29.79% 27.24%+0.34 -0.4 1
2017-04-09 @ Jonkoping D 2-266.6 1486 1506 27.24% 29.79% 42.97%-0.34 +0.4 4
2017-04-09 Kalmar D 1-162.7 1523 1526 39.75% 30.24% 30.01%+0.20 -0.3 1
2017-04-09 @ Hammarby D 1-162.7 1526 1523 30.01% 30.24% 39.75%-0.20 +0.3 1
2017-04-09 Norrkoping W 1-058.6 1546 1619 30.10% 30.25% 39.65%-0.21 +6.9 3
2017-04-09 @ Ostersund L 0-158.6 1619 1546 39.65% 30.25% 30.10%+0.21 -6.9 3
2017-04-10 AIK Stockholm L 1-265.3 1628 1667 34.65% 30.50% 34.85%-0.01 -5.9 3
2017-04-10 @ Elfsborg W 2-165.3 1667 1628 34.85% 30.50% 34.65%+0.01 +6.0 4
2017-04-11 GIF Sundsvall W 2-044.8 1642 1478 61.38% 23.22% 15.39%+1.19 +5.7 4
2017-04-11 @ Malmo L 0-244.8 1478 1642 15.39% 23.22% 61.38%-1.19 -5.7 3
2017-04-16 Elfsborg W 3-053.9 1536 1622 28.41% 30.01% 41.58%-0.30 +19.7 4
2017-04-16 @ Djurgarden L 0-353.9 1622 1536 41.58% 30.01% 28.41%+0.30 -19.7 3
2017-04-16 Hacken L 1-256.4 1473 1574 26.68% 29.67% 43.65%-0.38 -4.9 3
2017-04-16 @ GIF Sundsvall W 2-156.4 1574 1473 43.65% 29.67% 26.68%+0.38 +4.9 5
2017-04-16 Malmo L 0-346.2 1486 1648 20.78% 27.45% 51.78%-0.75 -11.4 4
2017-04-16 @ Halmstad W 3-046.2 1648 1486 51.78% 27.45% 20.78%+0.75 +11.4 7
2017-04-16 Ostersund W 2-159.8 1524 1553 35.98% 30.48% 33.54%+0.04 +5.8 7
2017-04-16 @ Orebro L 1-259.8 1553 1524 33.54% 30.48% 35.98%-0.04 -5.8 3
2017-04-17 AFC Eskilstuna D 1-165.9 1603 1514 52.17% 27.31% 20.53%+0.75 -1.1 5
2017-04-17 @ Goteborg D 1-165.9 1514 1603 20.53% 27.31% 52.17%-0.75 +1.1 2
2017-04-17 Hammarby L 1-269.1 1673 1523 59.70% 24.07% 16.23%+1.11 -8.9 4
2017-04-17 @ AIK Stockholm W 2-169.1 1523 1673 16.23% 24.07% 59.70%-1.11 +8.9 4
2017-04-17 Jonkoping L 1-357.9 1527 1505 43.13% 29.77% 27.11%+0.34 -12.1 1
2017-04-17 @ Kalmar W 3-157.9 1505 1527 27.11% 29.77% 43.13%-0.34 +12.1 4
2017-04-17 Sirius L 0-257.5 1612 1542 49.68% 28.15% 22.17%+0.63 -15.5 3
2017-04-17 @ Norrkoping W 2-057.5 1542 1612 22.17% 28.15% 49.68%-0.63 +15.5 6
2017-04-20 Orebro W 3-046.7 1603 1530 50.07% 28.03% 21.90%+0.65 +12.0 6
2017-04-20 @ Elfsborg L 0-346.7 1530 1603 21.90% 28.03% 50.07%-0.65 -12.0 7
2017-04-22 AIK Stockholm W 2-167.0 1518 1664 22.10% 28.12% 49.78%-0.66 +7.8 7
2017-04-22 @ Jonkoping L 1-267.0 1664 1518 49.78% 28.12% 22.10%+0.66 -7.8 4
2017-04-23 GIF Sundsvall D 0-056.9 1532 1468 48.94% 28.38% 22.68%+0.60 -1.0 5
2017-04-23 @ Hammarby D 0-056.9 1468 1532 22.68% 28.38% 48.94%-0.60 +1.0 4
2017-04-23 Goteborg D 1-165.9 1548 1602 32.49% 30.44% 37.06%-0.11 +0.2 4
2017-04-23 @ Ostersund D 1-165.9 1602 1548 37.06% 30.44% 32.49%+0.11 -0.2 6
2017-04-23 Halmstad D 0-056.2 1515 1475 45.73% 29.23% 25.04%+0.46 -0.8 3
2017-04-23 @ AFC Eskilstuna D 0-056.2 1475 1515 25.04% 29.23% 45.73%-0.46 +0.8 5
2017-04-23 Norrkoping L 1-263.9 1578 1596 37.63% 30.41% 31.95%+0.11 -6.3 5
2017-04-23 @ Hacken W 2-163.9 1596 1578 31.95% 30.41% 37.63%-0.11 +6.3 6
2017-04-24 Djurgarden W 3-263.5 1659 1556 54.00% 26.61% 19.39%+0.83 +3.5 10
2017-04-24 @ Malmo L 2-363.5 1556 1659 19.39% 26.61% 54.00%-0.83 -3.5 4
2017-04-24 Kalmar W 3-045.9 1557 1515 46.09% 29.15% 24.76%+0.47 +13.3 9
2017-04-24 @ Sirius L 0-345.9 1515 1557 24.76% 29.15% 46.09%-0.47 -13.3 1
2017-04-26 Elfsborg D 1-164.5 1469 1615 22.16% 28.15% 49.69%-0.65 +1.0 5
2017-04-26 @ GIF Sundsvall D 1-164.5 1615 1469 49.69% 28.15% 22.16%+0.65 -1.0 7
2017-04-26 Hacken D 0-059.5 1518 1572 32.46% 30.44% 37.09%-0.11 +0.2 8
2017-04-26 @ Orebro D 0-059.5 1572 1518 37.09% 30.44% 32.46%+0.11 -0.2 6
2017-04-26 Hammarby D 1-166.1 1602 1531 49.79% 28.12% 22.09%+0.64 -1.0 7
2017-04-26 @ Goteborg D 1-166.1 1531 1602 22.09% 28.12% 49.79%-0.64 +1.0 6
2017-04-26 Ostersund L 1-356.9 1514 1548 35.38% 30.50% 34.12%+0.02 -10.5 3
2017-04-26 @ AFC Eskilstuna W 3-156.9 1548 1514 34.12% 30.50% 35.38%-0.02 +10.5 7
2017-04-27 Djurgarden L 0-151.1 1476 1553 29.51% 30.18% 40.31%-0.24 -5.6 5
2017-04-27 @ Halmstad W 1-051.1 1553 1476 40.31% 30.18% 29.51%+0.24 +5.6 7
2017-04-27 Jonkoping W 3-046.4 1603 1525 50.66% 27.83% 21.51%+0.68 +11.8 9
2017-04-27 @ Norrkoping L 0-346.4 1525 1603 21.51% 27.83% 50.66%-0.68 -11.8 7
2017-04-27 Malmo D 0-062.6 1501 1663 20.79% 27.46% 51.75%-0.75 +1.2 2
2017-04-27 @ Kalmar D 0-062.6 1663 1501 51.75% 27.46% 20.79%+0.75 -1.2 11
2017-04-27 Sirius W 1-053.5 1656 1571 51.70% 27.47% 20.82%+0.72 +4.2 7
2017-04-27 @ AIK Stockholm L 0-153.5 1571 1656 20.82% 27.47% 51.70%-0.72 -4.2 9
2017-04-29 AFC Eskilstuna W 4-045.0 1532 1504 44.08% 29.59% 26.33%+0.38 +18.4 9
2017-04-29 @ Hammarby L 0-445.0 1504 1532 26.33% 29.59% 44.08%-0.38 -18.4 3
2017-04-30 GIF Sundsvall D 0-063.4 1660 1470 64.45% 21.60% 13.95%+1.35 -2.1 8
2017-04-30 @ AIK Stockholm D 0-063.4 1470 1660 13.95% 21.60% 64.45%-1.35 +2.1 6
2017-05-01 Halmstad W 2-044.5 1502 1470 44.68% 29.47% 25.85%+0.41 +9.5 5
2017-05-01 @ Kalmar L 0-244.5 1470 1502 25.85% 29.47% 44.68%-0.41 -9.5 5
2017-05-01 Jonkoping D 1-164.2 1567 1513 47.47% 28.80% 23.73%+0.53 -0.8 10
2017-05-01 @ Sirius D 1-164.2 1513 1567 23.73% 28.80% 47.47%-0.53 +0.8 8
2017-05-01 Norrkoping D 3-376.4 1558 1614 32.21% 30.43% 37.36%-0.12 +0.1 8
2017-05-01 @ Djurgarden D 3-376.4 1614 1558 37.36% 30.43% 32.21%+0.12 -0.1 10
2017-05-01 Orebro W 2-155.9 1662 1518 58.96% 24.43% 16.62%+1.07 +3.1 14
2017-05-01 @ Malmo L 1-255.9 1518 1662 16.62% 24.43% 58.96%-1.07 -3.1 8
2017-05-02 Goteborg W 4-051.8 1572 1601 36.10% 30.48% 33.42%+0.05 +22.0 9
2017-05-02 @ Hacken L 0-451.8 1601 1572 33.42% 30.48% 36.10%-0.05 -22.0 7
2017-05-02 Ostersund D 4-478.6 1614 1558 47.78% 28.71% 23.51%+0.55 -0.5 8
2017-05-02 @ Elfsborg D 4-478.6 1558 1614 23.51% 28.71% 47.78%-0.55 +0.5 8
2017-05-05 Sirius D 2-272.4 1594 1566 44.08% 29.59% 26.33%+0.38 -0.5 10
2017-05-05 @ Hacken D 2-272.4 1566 1594 26.33% 29.59% 44.08%-0.38 +0.5 11
2017-05-06 AIK Stockholm L 0-149.4 1460 1658 18.05% 25.64% 56.31%-0.96 -3.6 5
2017-05-06 @ Halmstad W 1-049.4 1658 1460 56.31% 25.64% 18.05%+0.96 +3.6 11
2017-05-07 AFC Eskilstuna W 1-048.8 1514 1485 44.19% 29.57% 26.24%+0.39 +5.1 11
2017-05-07 @ Jonkoping L 0-148.8 1485 1514 26.24% 29.57% 44.19%-0.39 -5.1 3
2017-05-07 Djurgarden L 0-448.9 1515 1558 33.98% 30.49% 35.52%-0.04 -22.3 8
2017-05-07 @ Orebro W 4-048.9 1558 1515 35.52% 30.49% 33.98%+0.04 +22.3 11
2017-05-07 Hammarby W 2-159.2 1559 1550 41.35% 30.05% 28.61%+0.27 +5.2 11
2017-05-07 @ Ostersund L 1-259.2 1550 1559 28.61% 30.05% 41.35%-0.27 -5.2 9
2017-05-07 Kalmar W 3-045.6 1579 1512 49.25% 28.29% 22.47%+0.61 +12.2 10
2017-05-07 @ Goteborg L 0-345.6 1512 1579 22.47% 28.29% 49.25%-0.61 -12.3 5
2017-05-08 GIF Sundsvall D 0-061.2 1614 1472 58.81% 24.50% 16.69%+1.06 -1.7 11
2017-05-08 @ Norrkoping D 0-061.2 1472 1614 16.69% 24.50% 58.81%-1.06 +1.7 7
2017-05-08 Malmo L 1-264.5 1613 1665 32.84% 30.46% 36.70%-0.09 -5.7 8
2017-05-08 @ Elfsborg W 2-164.5 1665 1613 36.70% 30.46% 32.84%+0.09 +5.7 17
2017-05-12 Norrkoping L 1-256.7 1480 1612 23.42% 28.68% 47.90%-0.57 -4.4 3
2017-05-12 @ AFC Eskilstuna W 2-156.7 1612 1480 47.90% 28.68% 23.42%+0.57 +4.4 14
2017-05-13 Hacken L 0-152.7 1500 1593 27.50% 29.85% 42.66%-0.34 -5.3 5
2017-05-13 @ Kalmar W 1-052.7 1593 1500 42.66% 29.85% 27.50%+0.34 +5.3 13
2017-05-13 Orebro W 1-048.7 1662 1493 61.99% 22.91% 15.10%+1.22 +3.0 14
2017-05-13 @ AIK Stockholm L 0-148.7 1493 1662 15.10% 22.91% 61.99%-1.22 -2.9 8
2017-05-14 Elfsborg W 4-157.8 1566 1607 34.29% 30.50% 35.21%-0.03 +14.7 14
2017-05-14 @ Sirius L 1-457.8 1607 1566 35.21% 30.50% 34.29%+0.03 -14.7 8
2017-05-14 Hammarby L 1-255.3 1457 1545 28.14% 29.97% 41.89%-0.31 -5.1 5
2017-05-14 @ Halmstad W 2-155.3 1545 1457 41.89% 29.97% 28.14%+0.31 +5.1 12
2017-05-14 Jonkoping D 0-056.0 1474 1519 33.63% 30.49% 35.88%-0.06 +0.1 8
2017-05-14 @ GIF Sundsvall D 0-056.0 1519 1474 35.88% 30.49% 33.63%+0.06 -0.1 12
2017-05-14 Ostersund W 2-158.5 1670 1564 54.41% 26.45% 19.15%+0.85 +3.6 20
2017-05-14 @ Malmo L 1-258.5 1564 1670 19.15% 26.45% 54.41%-0.85 -3.6 11
2017-05-15 Goteborg W 1-056.2 1580 1591 38.71% 30.34% 30.95%+0.16 +5.8 14
2017-05-15 @ Djurgarden L 0-156.2 1591 1580 30.95% 30.34% 38.71%-0.16 -5.8 10
2017-05-16 Kalmar W 2-046.0 1617 1494 56.38% 25.61% 18.01%+0.95 +6.8 17
2017-05-16 @ Norrkoping L 0-246.0 1494 1617 18.01% 25.61% 56.38%-0.95 -6.8 5
2017-05-17 GIF Sundsvall L 0-249.3 1490 1474 42.41% 29.89% 27.71%+0.31 -13.8 8
2017-05-17 @ Orebro W 2-049.3 1474 1490 27.71% 29.89% 42.41%-0.31 +13.8 11
2017-05-17 Halmstad W 2-151.8 1599 1452 59.38% 24.22% 16.40%+1.09 +3.0 16
2017-05-17 @ Hacken L 1-251.8 1452 1599 16.40% 24.22% 59.38%-1.09 -3.1 5
2017-05-17 Malmo D 1-168.1 1550 1674 24.24% 28.98% 46.78%-0.52 +0.8 13
2017-05-17 @ Hammarby D 1-168.1 1674 1550 46.78% 28.98% 24.24%+0.52 -0.8 21
2017-05-17 Sirius D 0-061.1 1560 1581 37.21% 30.44% 32.35%+0.09 -0.2 12
2017-05-17 @ Ostersund D 0-061.1 1581 1560 32.35% 30.44% 37.21%-0.09 +0.2 15
2017-05-18 AFC Eskilstuna W 2-153.6 1593 1476 55.69% 25.91% 18.40%+0.91 +3.5 11
2017-05-18 @ Elfsborg L 1-253.6 1476 1593 18.40% 25.91% 55.69%-0.91 -3.5 3
2017-05-18 Djurgarden D 1-164.6 1519 1586 30.78% 30.32% 38.90%-0.18 +0.3 13
2017-05-18 @ Jonkoping D 1-164.6 1586 1519 38.90% 30.32% 30.78%+0.18 -0.3 15
2017-05-20 Kalmar W 2-154.5 1560 1488 50.02% 28.05% 21.94%+0.65 +4.1 15
2017-05-20 @ Ostersund L 1-254.5 1488 1560 21.94% 28.05% 50.02%-0.65 -4.1 5
2017-05-20 Orebro D 0-053.5 1449 1476 36.29% 30.48% 33.24%+0.05 -0.1 6
2017-05-20 @ Halmstad D 0-053.5 1476 1449 33.24% 30.48% 36.29%-0.05 +0.1 9
2017-05-21 Hacken D 0-059.5 1472 1602 23.69% 28.78% 47.53%-0.55 +0.9 4
2017-05-21 @ AFC Eskilstuna D 0-059.5 1602 1472 47.53% 28.78% 23.69%+0.55 -0.9 17
2017-05-21 Hammarby D 1-165.7 1581 1551 44.37% 29.53% 26.10%+0.40 -0.6 16
2017-05-21 @ Sirius D 1-165.7 1551 1581 26.10% 29.53% 44.37%-0.40 +0.6 14
2017-05-21 Norrkoping L 1-268.6 1673 1624 47.00% 28.92% 24.08%+0.51 -7.4 21
2017-05-21 @ Malmo W 2-168.6 1624 1673 24.08% 28.92% 47.00%-0.51 +7.4 20
2017-05-22 AIK Stockholm L 0-157.3 1586 1665 29.29% 30.15% 40.56%-0.25 -5.6 15
2017-05-22 @ Djurgarden W 1-057.3 1665 1586 40.56% 30.15% 29.29%+0.25 +5.6 17
2017-05-22 Goteborg L 0-446.6 1487 1585 27.06% 29.76% 43.18%-0.36 -18.8 11
2017-05-22 @ GIF Sundsvall W 4-046.6 1585 1487 43.18% 29.76% 27.06%+0.36 +18.8 13
2017-05-22 Jonkoping W 3-046.1 1596 1520 50.56% 27.87% 21.57%+0.67 +11.8 14
2017-05-22 @ Elfsborg L 0-346.1 1520 1596 21.57% 27.87% 50.56%-0.67 -11.8 13
2017-05-27 AFC Eskilstuna W 4-148.0 1580 1473 54.47% 26.42% 19.11%+0.85 +8.8 18
2017-05-27 @ Djurgarden L 1-448.0 1473 1580 19.11% 26.42% 54.47%-0.85 -8.8 4
2017-05-27 GIF Sundsvall W 3-042.7 1484 1469 42.25% 29.91% 27.84%+0.30 +14.7 8
2017-05-27 @ Kalmar L 0-342.7 1469 1484 27.84% 29.91% 42.25%-0.30 -14.7 11
2017-05-27 Halmstad W 3-256.8 1631 1449 63.53% 22.10% 14.37%+1.30 +2.5 23
2017-05-27 @ Norrkoping L 2-356.8 1449 1631 14.37% 22.10% 63.53%-1.30 -2.5 6
2017-05-28 Elfsborg D 1-167.5 1604 1608 39.57% 30.26% 30.17%+0.19 -0.3 14
2017-05-28 @ Goteborg D 1-167.5 1608 1604 30.17% 30.26% 39.57%-0.19 +0.3 15
2017-05-28 Jonkoping D 2-269.3 1552 1508 46.21% 29.12% 24.67%+0.48 -0.6 15
2017-05-28 @ Hammarby D 2-269.3 1508 1552 24.67% 29.12% 46.21%-0.48 +0.6 14
2017-05-29 Malmo L 0-161.9 1670 1666 40.80% 30.12% 29.08%+0.24 -7.1 17
2017-05-29 @ AIK Stockholm W 1-061.9 1666 1670 29.08% 30.12% 40.80%-0.24 +7.1 24
2017-05-29 Ostersund L 0-160.0 1601 1564 45.26% 29.34% 25.40%+0.44 -7.7 17
2017-05-29 @ Hacken W 1-060.0 1564 1601 25.40% 29.34% 45.26%-0.44 +7.7 18
2017-05-29 Sirius W 2-162.0 1476 1581 26.28% 29.58% 44.14%-0.41 +7.1 12
2017-05-29 @ Orebro L 1-262.0 1581 1476 44.14% 29.58% 26.28%+0.41 -7.1 16
2017-06-01 AIK Stockholm D 0-064.3 1634 1663 35.93% 30.49% 33.58%+0.04 -0.1 24
2017-06-01 @ Norrkoping D 0-064.3 1663 1634 33.58% 30.49% 35.93%-0.04 +0.1 18
2017-06-02 Hacken W 2-052.6 1608 1593 42.27% 29.91% 27.82%+0.31 +10.1 18
2017-06-02 @ Elfsborg L 0-252.6 1593 1608 27.82% 29.91% 42.27%-0.31 -10.1 17
2017-06-03 GIF Sundsvall W 3-149.1 1572 1454 55.81% 25.86% 18.33%+0.92 +6.0 21
2017-06-03 @ Ostersund L 1-349.1 1454 1572 18.33% 25.86% 55.81%-0.92 -6.0 11
2017-06-03 Malmo L 1-258.0 1508 1673 20.55% 27.32% 52.12%-0.76 -3.9 14
2017-06-03 @ Jonkoping W 2-158.0 1673 1508 52.12% 27.32% 20.55%+0.76 +3.9 27
2017-06-03 Orebro L 0-153.1 1498 1483 42.28% 29.91% 27.82%+0.31 -7.3 8
2017-06-03 @ Kalmar W 1-053.1 1483 1498 27.82% 29.91% 42.28%-0.31 +7.3 15
2017-06-04 AIK Stockholm L 1-352.4 1465 1663 17.97% 25.58% 56.44%-0.97 -5.8 4
2017-06-04 @ AFC Eskilstuna W 3-152.4 1663 1465 56.44% 25.58% 17.97%+0.97 +5.9 21
2017-06-04 Djurgarden W 3-159.3 1551 1589 34.70% 30.50% 34.80%-0.01 +10.3 18
2017-06-04 @ Hammarby L 1-359.3 1589 1551 34.80% 30.50% 34.70%+0.01 -10.3 18
2017-06-04 Goteborg W 2-052.7 1633 1603 44.34% 29.54% 26.12%+0.40 +9.6 27
2017-06-04 @ Norrkoping L 0-252.7 1603 1633 26.12% 29.54% 44.34%-0.40 -9.6 14
2017-06-04 Halmstad W 2-151.4 1573 1446 56.99% 25.34% 17.67%+0.97 +3.3 19
2017-06-04 @ Sirius L 1-251.4 1446 1573 17.67% 25.34% 56.99%-0.97 -3.3 6
2017-07-01 AFC Eskilstuna W 3-257.4 1677 1459 67.50% 19.90% 12.60%+1.52 +2.1 30
2017-07-01 @ Malmo L 2-357.4 1459 1677 12.60% 19.90% 67.50%-1.52 -2.1 4
2017-07-01 Elfsborg D 1-164.2 1443 1618 19.67% 26.79% 53.54%-0.83 +1.2 7
2017-07-01 @ Halmstad D 1-164.2 1618 1443 53.54% 26.79% 19.67%+0.83 -1.2 19
2017-07-01 Sirius L 1-254.4 1448 1577 23.76% 28.81% 47.44%-0.55 -4.4 11
2017-07-01 @ GIF Sundsvall W 2-154.4 1577 1448 47.44% 28.81% 23.76%+0.55 +4.4 22
2017-07-02 Goteborg L 0-249.8 1505 1594 28.02% 29.94% 42.04%-0.32 -10.2 14
2017-07-02 @ Jonkoping W 2-049.8 1594 1505 42.04% 29.94% 28.02%+0.32 +10.2 17
2017-07-02 Norrkoping W 4-267.0 1490 1643 21.55% 27.86% 50.59%-0.69 +12.2 18
2017-07-02 @ Orebro L 2-467.0 1643 1490 50.59% 27.86% 21.55%+0.69 -12.2 27
2017-07-02 Ostersund D 2-275.0 1669 1578 52.48% 27.19% 20.33%+0.76 -0.9 22
2017-07-02 @ AIK Stockholm D 2-275.0 1578 1669 20.33% 27.19% 52.48%-0.76 +0.9 22
2017-07-03 Hammarby W 2-050.9 1583 1561 43.21% 29.75% 27.04%+0.35 +9.9 20
2017-07-03 @ Hacken L 0-250.9 1561 1583 27.04% 29.75% 43.21%-0.35 -9.9 18
2017-07-03 Kalmar W 4-149.3 1579 1491 52.05% 27.35% 20.60%+0.74 +9.5 21
2017-07-03 @ Djurgarden L 1-449.3 1491 1579 20.60% 27.35% 52.05%-0.74 -9.5 8
2017-07-08 AFC Eskilstuna W 1-046.5 1581 1457 56.66% 25.49% 17.85%+0.96 +3.6 25
2017-07-08 @ Sirius L 0-146.5 1457 1581 17.85% 25.49% 56.66%-0.96 -3.6 4
2017-07-08 Malmo L 0-157.3 1593 1679 28.42% 30.02% 41.56%-0.29 -5.5 20
2017-07-08 @ Hacken W 1-057.3 1679 1593 41.56% 30.02% 28.42%+0.29 +5.4 33
2017-07-08 Orebro W 3-152.8 1551 1503 46.90% 28.95% 24.15%+0.51 +7.8 21
2017-07-08 @ Hammarby L 1-352.8 1503 1551 24.15% 28.95% 46.90%-0.51 -7.8 18
2017-07-09 AIK Stockholm L 0-150.7 1481 1668 18.82% 26.22% 54.96%-0.90 -3.8 8
2017-07-09 @ Kalmar W 1-050.7 1668 1481 54.96% 26.22% 18.82%+0.90 +3.8 25
2017-07-09 Elfsborg L 1-363.8 1631 1617 42.09% 29.94% 27.97%+0.30 -11.8 27
2017-07-09 @ Norrkoping W 3-163.8 1617 1631 27.97% 29.94% 42.09%-0.30 +11.8 22
2017-07-09 Jonkoping D 1-164.4 1579 1494 51.57% 27.52% 20.91%+0.72 -1.1 23
2017-07-09 @ Ostersund D 1-164.4 1494 1579 20.91% 27.52% 51.57%-0.72 +1.1 15
2017-07-10 GIF Sundsvall W 2-151.2 1588 1444 59.12% 24.35% 16.53%+1.08 +3.1 24
2017-07-10 @ Djurgarden L 1-251.2 1444 1588 16.53% 24.35% 59.12%-1.08 -3.1 11
2017-07-10 Halmstad D 1-164.7 1604 1444 60.91% 23.46% 15.63%+1.17 -1.7 18
2017-07-10 @ Goteborg D 1-164.7 1444 1604 15.63% 23.46% 60.91%-1.17 +1.7 8
2017-07-15 Halmstad W 1-046.2 1440 1446 39.43% 30.27% 30.30%+0.19 +5.7 14
2017-07-15 @ GIF Sundsvall L 0-146.2 1446 1440 30.30% 30.27% 39.43%-0.19 -5.7 8
2017-07-15 Kalmar W 2-154.2 1453 1478 36.66% 30.46% 32.88%+0.07 +5.7 7
2017-07-15 @ AFC Eskilstuna L 1-254.2 1478 1453 32.88% 30.46% 36.66%-0.07 -5.7 8
2017-07-15 Sirius D 3-379.5 1684 1585 53.52% 26.80% 19.68%+0.81 -0.8 34
2017-07-15 @ Malmo D 3-379.5 1585 1684 19.68% 26.80% 53.52%-0.81 +0.8 26
2017-07-16 Djurgarden W 2-161.9 1578 1592 38.18% 30.38% 31.44%+0.13 +5.5 26
2017-07-16 @ Ostersund L 1-261.9 1592 1578 31.44% 30.38% 38.18%-0.13 -5.5 24
2017-07-16 Goteborg W 4-264.5 1495 1602 25.95% 29.49% 44.55%-0.42 +11.0 21
2017-07-16 @ Orebro L 2-464.5 1602 1495 44.55% 29.49% 25.95%+0.42 -11.0 18
2017-07-16 Norrkoping W 1-055.8 1672 1619 47.46% 28.80% 23.74%+0.53 +4.7 28
2017-07-16 @ AIK Stockholm L 0-155.8 1619 1672 23.74% 28.80% 47.46%-0.53 -4.7 27
2017-07-17 Hacken L 0-152.4 1495 1588 27.68% 29.88% 42.44%-0.33 -5.4 15
2017-07-17 @ Jonkoping W 1-052.4 1588 1495 42.44% 29.88% 27.68%+0.33 +5.3 23
2017-07-17 Hammarby W 3-048.3 1629 1559 49.67% 28.15% 22.17%+0.63 +12.1 25
2017-07-17 @ Elfsborg L 0-348.3 1559 1629 22.17% 28.15% 49.67%-0.63 -12.1 21
2017-07-22 GIF Sundsvall D 2-262.8 1440 1446 39.28% 30.29% 30.43%+0.18 -0.2 9
2017-07-22 @ Halmstad D 2-262.8 1446 1440 30.43% 30.29% 39.28%-0.18 +0.2 15
2017-07-22 Hacken D 2-272.6 1586 1593 39.12% 30.30% 30.58%+0.17 -0.2 27
2017-07-22 @ Sirius D 2-272.6 1593 1586 30.58% 30.30% 39.12%-0.17 +0.2 24
2017-07-22 Jonkoping W 2-045.2 1684 1490 64.77% 21.42% 13.80%+1.37 +5.0 37
2017-07-22 @ Malmo L 0-245.2 1490 1684 13.80% 21.42% 64.77%-1.37 -5.0 15
2017-07-23 AFC Eskilstuna W 2-043.8 1472 1459 42.02% 29.95% 28.04%+0.30 +10.2 11
2017-07-23 @ Kalmar L 0-243.8 1459 1472 28.04% 29.95% 42.02%-0.30 -10.2 7
2017-07-23 Orebro D 2-271.1 1591 1506 51.71% 27.47% 20.82%+0.72 -0.8 19
2017-07-23 @ Goteborg D 2-271.1 1506 1591 20.82% 27.47% 51.71%-0.72 +0.8 22
2017-07-23 Ostersund W 3-050.6 1586 1583 40.58% 30.15% 29.28%+0.23 +15.3 27
2017-07-23 @ Djurgarden L 0-350.6 1583 1586 29.28% 30.15% 40.58%-0.23 -15.3 26
2017-07-24 Elfsborg W 2-165.6 1547 1641 27.47% 29.84% 42.69%-0.34 +6.9 24
2017-07-24 @ Hammarby L 1-265.6 1641 1547 42.69% 29.84% 27.47%+0.34 -6.9 25
2017-07-29 Hammarby W 1-054.4 1485 1554 30.52% 30.30% 39.18%-0.19 +6.9 18
2017-07-29 @ Jonkoping L 0-154.4 1554 1485 39.18% 30.30% 30.52%+0.19 -6.9 24
2017-07-29 Malmo L 0-148.3 1446 1689 15.27% 23.09% 61.65%-1.23 -3.0 15
2017-07-29 @ GIF Sundsvall W 1-048.3 1689 1446 61.65% 23.09% 15.27%+1.23 +3.0 40
2017-07-29 Sirius L 0-258.5 1634 1585 46.90% 28.95% 24.15%+0.51 -14.8 25
2017-07-29 @ Elfsborg W 2-058.5 1585 1634 24.15% 28.95% 46.90%-0.51 +14.8 30
2017-07-30 Halmstad D 0-058.1 1568 1440 57.08% 25.30% 17.62%+0.98 -1.6 27
2017-07-30 @ Ostersund D 0-058.1 1440 1568 17.62% 25.30% 57.08%-0.98 +1.6 10
2017-07-30 Kalmar L 0-163.3 1677 1482 64.91% 21.35% 13.74%+1.38 -10.0 28
2017-07-30 @ AIK Stockholm W 1-063.3 1482 1677 13.74% 21.35% 64.91%-1.38 +10.0 14
2017-07-30 Norrkoping W 4-157.8 1590 1614 36.76% 30.46% 32.78%+0.07 +14.0 22
2017-07-30 @ Goteborg L 1-457.8 1614 1590 32.78% 30.46% 36.76%-0.07 -14.0 27
2017-07-31 Djurgarden L 1-254.4 1449 1601 21.54% 27.85% 50.60%-0.69 -4.1 7
2017-07-31 @ AFC Eskilstuna W 2-154.4 1601 1449 50.60% 27.85% 21.54%+0.69 +4.0 30
2017-07-31 Orebro D 1-165.3 1593 1507 51.84% 27.42% 20.73%+0.73 -1.1 25
2017-07-31 @ Hacken D 1-165.3 1507 1593 20.73% 27.42% 51.84%-0.73 +1.1 23
2017-08-05 Elfsborg D 2-271.5 1508 1619 25.52% 29.37% 45.11%-0.45 +0.5 24
2017-08-05 @ Orebro D 2-271.5 1619 1508 45.11% 29.37% 25.52%+0.45 -0.5 26
2017-08-05 Jonkoping W 6-147.9 1441 1492 32.96% 30.47% 36.57%-0.09 +23.9 13
2017-08-05 @ Halmstad L 1-647.9 1492 1441 36.57% 30.47% 32.96%+0.09 -23.9 18
2017-08-06 AIK Stockholm L 1-458.3 1600 1667 30.82% 30.33% 38.85%-0.18 -13.4 30
2017-08-06 @ Sirius W 4-158.3 1667 1600 38.85% 30.33% 30.82%+0.18 +13.4 31
2017-08-06 Goteborg W 1-057.9 1492 1604 25.44% 29.35% 45.21%-0.45 +7.7 17
2017-08-06 @ Kalmar L 0-157.9 1604 1492 45.21% 29.35% 25.44%+0.45 -7.7 22
2017-08-06 Hacken L 1-261.8 1547 1592 33.77% 30.49% 35.74%-0.05 -5.8 24
2017-08-06 @ Hammarby W 2-161.8 1592 1547 35.74% 30.49% 33.77%+0.05 +5.8 28
2017-08-06 Ostersund D 1-161.6 1443 1566 24.35% 29.02% 46.63%-0.51 +0.8 16
2017-08-06 @ GIF Sundsvall D 1-161.6 1566 1443 46.63% 29.02% 24.35%+0.51 -0.8 28
2017-08-07 AFC Eskilstuna W 1-045.6 1600 1444 60.42% 23.71% 15.87%+1.14 +3.1 30
2017-08-07 @ Norrkoping L 0-145.6 1444 1600 15.87% 23.71% 60.42%-1.14 -3.1 7
2017-08-07 Malmo L 0-157.7 1605 1692 28.39% 30.01% 41.60%-0.30 -5.4 30
2017-08-07 @ Djurgarden W 1-057.7 1692 1605 41.60% 30.01% 28.39%+0.30 +5.5 43
2017-08-10 AIK Stockholm W 2-166.9 1597 1680 28.72% 30.06% 41.22%-0.28 +6.7 25
2017-08-10 @ Goteborg L 1-266.9 1680 1597 41.22% 30.06% 28.72%+0.28 -6.7 31
2017-08-11 Kalmar W 6-045.0 1697 1500 65.19% 21.19% 13.61%+1.39 +13.6 46
2017-08-11 @ Malmo L 0-645.0 1500 1697 13.61% 21.19% 65.19%-1.39 -13.6 17
2017-08-12 Sirius L 0-345.1 1465 1587 24.48% 29.06% 46.46%-0.51 -13.2 13
2017-08-12 @ Halmstad W 3-045.1 1587 1465 46.46% 29.06% 24.48%+0.51 +13.2 33
2017-08-13 AFC Eskilstuna D 1-168.3 1673 1441 69.00% 19.03% 11.96%+1.60 -2.1 32
2017-08-13 @ AIK Stockholm D 1-168.3 1441 1673 11.96% 19.03% 69.00%-1.60 +2.1 8
2017-08-13 Djurgarden L 0-159.8 1603 1600 40.66% 30.14% 29.20%+0.24 -7.1 30
2017-08-13 @ Norrkoping W 1-059.8 1600 1603 29.20% 30.14% 40.66%-0.24 +7.1 33
2017-08-13 Orebro L 1-256.3 1468 1508 34.42% 30.50% 35.08%-0.02 -5.9 18
2017-08-13 @ Jonkoping W 2-156.3 1508 1468 35.08% 30.50% 34.42%+0.02 +5.9 27
2017-08-13 Ostersund D 2-270.5 1541 1565 36.74% 30.46% 32.80%+0.07 -0.1 25
2017-08-13 @ Hammarby D 2-270.5 1565 1541 32.80% 30.46% 36.74%-0.07 +0.1 29
2017-08-14 GIF Sundsvall W 2-042.4 1598 1444 60.16% 23.84% 16.00%+1.13 +5.9 31
2017-08-14 @ Hacken L 0-242.4 1444 1598 16.00% 23.84% 60.16%-1.13 -5.9 16
2017-08-14 Goteborg L 1-266.2 1619 1603 42.31% 29.90% 27.78%+0.31 -6.9 26
2017-08-14 @ Elfsborg W 2-166.2 1603 1619 27.78% 29.90% 42.31%-0.31 +6.9 28
2017-08-18 Elfsborg D 2-270.2 1462 1612 21.80% 27.98% 50.22%-0.68 +0.8 19
2017-08-18 @ Jonkoping D 2-270.2 1612 1462 50.22% 27.98% 21.80%+0.68 -0.8 27
2017-08-19 Malmo W 3-165.9 1444 1711 13.92% 21.57% 64.51%-1.37 +16.3 11
2017-08-19 @ AFC Eskilstuna L 1-365.9 1711 1444 64.51% 21.57% 13.92%+1.37 -16.3 46
2017-08-20 AIK Stockholm L 0-350.9 1566 1671 26.14% 29.54% 44.32%-0.41 -14.0 29
2017-08-20 @ Ostersund W 3-050.9 1671 1566 44.32% 29.54% 26.14%+0.41 +14.0 35
2017-08-20 Hacken D 1-167.6 1610 1604 41.09% 30.08% 28.83%+0.26 -0.4 29
2017-08-20 @ Goteborg D 1-167.6 1604 1610 28.83% 30.08% 41.09%-0.26 +0.4 32
2017-08-20 Halmstad W 2-151.8 1607 1452 60.31% 23.76% 15.92%+1.14 +3.0 36
2017-08-20 @ Djurgarden L 1-251.8 1452 1607 15.92% 23.76% 60.31%-1.14 -3.0 13
2017-08-20 Norrkoping L 0-159.6 1600 1596 40.67% 30.13% 29.20%+0.24 -7.1 33
2017-08-20 @ Sirius W 1-059.6 1596 1600 29.20% 30.13% 40.67%-0.24 +7.1 33
2017-08-21 Hammarby L 0-349.2 1514 1541 36.32% 30.47% 33.20%+0.06 -17.8 27
2017-08-21 @ Orebro W 3-049.2 1541 1514 33.20% 30.47% 36.32%-0.06 +17.9 28
2017-08-21 Kalmar L 1-351.2 1438 1486 33.34% 30.48% 36.18%-0.07 -10.0 16
2017-08-21 @ GIF Sundsvall W 3-151.2 1486 1438 36.18% 30.48% 33.34%+0.07 +10.0 20
2017-08-26 Hammarby D 0-057.2 1460 1559 26.86% 29.71% 43.43%-0.38 +0.6 12
2017-08-26 @ AFC Eskilstuna D 0-057.2 1559 1460 43.43% 29.71% 26.86%+0.38 -0.6 29
2017-08-27 Djurgarden D 1-169.6 1685 1610 50.41% 27.92% 21.68%+0.67 -1.0 36
2017-08-27 @ AIK Stockholm D 1-169.6 1610 1685 21.68% 27.92% 50.41%-0.67 +1.0 37
2017-08-27 Goteborg D 2-275.8 1694 1610 51.57% 27.52% 20.91%+0.72 -0.8 47
2017-08-27 @ Malmo D 2-275.8 1610 1694 20.91% 27.52% 51.57%-0.72 +0.8 30
2017-08-27 Halmstad W 1-046.0 1611 1449 61.16% 23.34% 15.50%+1.18 +3.0 30
2017-08-27 @ Elfsborg L 0-146.0 1449 1611 15.50% 23.34% 61.16%-1.18 -3.0 13
2017-08-27 Jonkoping W 3-149.7 1604 1463 58.68% 24.56% 16.76%+1.06 +5.4 35
2017-08-27 @ Hacken L 1-349.7 1463 1604 16.76% 24.56% 58.68%-1.06 -5.4 19
2017-08-27 Orebro W 2-155.8 1428 1496 30.63% 30.31% 39.06%-0.19 +6.5 19
2017-08-27 @ GIF Sundsvall L 1-255.8 1496 1428 39.06% 30.31% 30.63%+0.19 -6.5 27
2017-08-27 Ostersund L 0-257.0 1603 1552 47.31% 28.84% 23.85%+0.53 -14.9 33
2017-08-27 @ Norrkoping W 2-057.0 1552 1603 23.85% 28.84% 47.31%-0.53 +14.9 32
2017-08-27 Sirius W 4-263.9 1496 1593 27.15% 29.78% 43.07%-0.36 +10.8 23
2017-08-27 @ Kalmar L 2-463.9 1593 1496 43.07% 29.78% 27.15%+0.36 -10.8 33
2017-09-09 AFC Eskilstuna W 3-041.8 1566 1460 54.34% 26.47% 19.19%+0.85 +10.5 35
2017-09-09 @ Ostersund L 0-341.8 1460 1566 19.19% 26.47% 54.34%-0.85 -10.5 12
2017-09-10 AIK Stockholm D 1-168.5 1558 1684 24.05% 28.91% 47.04%-0.53 +0.8 30
2017-09-10 @ Hammarby D 1-168.5 1684 1558 47.04% 28.91% 24.05%+0.53 -0.8 37
2017-09-10 GIF Sundsvall L 0-157.8 1582 1435 59.42% 24.20% 16.38%+1.09 -9.4 33
2017-09-10 @ Sirius W 1-057.8 1435 1582 16.38% 24.20% 59.42%-1.09 +9.4 22
2017-09-10 Hacken L 0-343.6 1446 1610 20.63% 27.37% 52.00%-0.76 -11.3 13
2017-09-10 @ Halmstad W 3-043.6 1610 1446 52.00% 27.37% 20.63%+0.76 +11.3 38
2017-09-10 Kalmar D 2-272.2 1614 1507 54.49% 26.41% 19.10%+0.86 -1.0 31
2017-09-10 @ Elfsborg D 2-272.2 1507 1614 19.10% 26.41% 54.49%-0.86 +1.0 24
2017-09-10 Malmo W 2-168.4 1490 1693 17.65% 25.33% 57.02%-1.00 +8.6 30
2017-09-10 @ Orebro L 1-268.4 1693 1490 57.02% 25.33% 17.65%+1.00 -8.6 47
2017-09-10 Norrkoping L 1-255.1 1458 1589 23.54% 28.72% 47.74%-0.56 -4.4 19
2017-09-10 @ Jonkoping W 2-155.1 1589 1458 47.74% 28.72% 23.54%+0.56 +4.4 36
2017-09-11 Djurgarden L 1-362.8 1611 1611 40.13% 30.20% 29.67%+0.22 -11.4 30
2017-09-11 @ Goteborg W 3-162.8 1611 1611 29.67% 30.20% 40.13%-0.22 +11.4 40
2017-09-15 Norrkoping D 1-164.6 1508 1593 28.53% 30.03% 41.44%-0.29 +0.4 25
2017-09-15 @ Kalmar D 1-164.6 1593 1508 41.44% 30.03% 28.53%+0.29 -0.4 37
2017-09-16 Elfsborg W 3-051.8 1621 1613 41.24% 30.06% 28.70%+0.26 +15.0 41
2017-09-16 @ Hacken L 0-351.8 1613 1621 28.70% 30.06% 41.24%-0.26 -15.0 31
2017-09-16 Jonkoping D 1-164.6 1599 1453 59.28% 24.27% 16.45%+1.09 -1.6 31
2017-09-16 @ Goteborg D 1-164.6 1453 1599 16.45% 24.27% 59.28%-1.09 +1.6 20
2017-09-16 Orebro W 4-149.7 1622 1499 56.56% 25.53% 17.91%+0.95 +8.2 43
2017-09-16 @ Djurgarden L 1-449.7 1499 1622 17.91% 25.53% 56.56%-0.95 -8.2 30
2017-09-17 Halmstad W 4-145.3 1683 1435 70.75% 18.01% 11.24%+1.70 +4.7 40
2017-09-17 @ AIK Stockholm L 1-445.3 1435 1683 11.24% 18.01% 70.75%-1.70 -4.7 13
2017-09-17 Hammarby W 4-047.1 1685 1559 56.77% 25.44% 17.79%+0.96 +12.7 50
2017-09-17 @ Malmo L 0-447.1 1559 1685 17.79% 25.44% 56.77%-0.96 -12.7 30
2017-09-17 Ostersund L 0-553.6 1573 1577 39.56% 30.26% 30.18%+0.19 -30.6 33
2017-09-17 @ Sirius W 5-053.6 1577 1573 30.18% 30.26% 39.56%-0.19 +30.6 38
2017-09-18 GIF Sundsvall L 1-255.3 1450 1444 40.97% 30.10% 28.93%+0.25 -6.7 12
2017-09-18 @ AFC Eskilstuna W 2-155.3 1444 1450 28.93% 30.10% 40.97%-0.25 +6.7 25
2017-09-19 Djurgarden D 2-273.7 1598 1631 35.55% 30.49% 33.96%+0.02 -0.0 32
2017-09-19 @ Elfsborg D 2-273.7 1631 1598 33.96% 30.49% 35.55%-0.02 +0.0 44
2017-09-19 Hacken W 4-159.1 1592 1636 33.96% 30.49% 35.55%-0.04 +14.8 40
2017-09-19 @ Norrkoping L 1-459.1 1636 1592 35.55% 30.49% 33.96%+0.04 -14.8 41
2017-09-20 Goteborg W 2-162.8 1547 1598 32.89% 30.46% 36.65%-0.09 +6.2 33
2017-09-20 @ Hammarby L 1-262.8 1598 1547 36.65% 30.46% 32.89%+0.09 -6.2 31
2017-09-20 Kalmar D 1-158.6 1430 1508 29.34% 30.15% 40.51%-0.25 +0.4 14
2017-09-20 @ Halmstad D 1-158.6 1508 1430 40.51% 30.15% 29.34%+0.25 -0.4 26
2017-09-20 Malmo D 2-275.1 1608 1698 27.93% 29.93% 42.14%-0.32 +0.4 39
2017-09-20 @ Ostersund D 2-275.1 1698 1608 42.14% 29.93% 27.93%+0.32 -0.4 51
2017-09-20 Sirius W 3-156.3 1455 1542 28.23% 29.98% 41.79%-0.30 +11.8 23
2017-09-20 @ Jonkoping L 1-356.3 1542 1455 41.79% 29.98% 28.23%+0.30 -11.8 33
2017-09-21 AFC Eskilstuna L 2-363.2 1490 1443 46.66% 29.01% 24.33%+0.50 -7.0 30
2017-09-21 @ Orebro W 3-263.2 1443 1490 24.33% 29.01% 46.66%-0.50 +7.0 15
2017-09-21 AIK Stockholm D 0-063.2 1451 1688 15.54% 23.38% 61.08%-1.20 +1.9 26
2017-09-21 @ GIF Sundsvall D 0-063.2 1688 1451 61.08% 23.38% 15.54%+1.20 -1.9 41
2017-09-23 Norrkoping W 2-163.3 1430 1607 19.57% 26.73% 53.70%-0.84 +8.2 17
2017-09-23 @ Halmstad L 1-263.3 1607 1430 53.70% 26.73% 19.57%+0.84 -8.2 40
2017-09-24 AIK Stockholm L 1-656.8 1621 1686 31.02% 30.34% 38.64%-0.17 -21.3 41
2017-09-24 @ Hacken W 6-156.8 1686 1621 38.64% 30.34% 31.02%+0.17 +21.3 44
2017-09-24 GIF Sundsvall D 2-264.0 1466 1453 42.09% 29.94% 27.97%+0.30 -0.4 24
2017-09-24 @ Jonkoping D 2-264.0 1453 1466 27.97% 29.94% 42.09%-0.30 +0.4 27
2017-09-24 Hammarby D 1-167.6 1631 1553 50.74% 27.81% 21.45%+0.68 -1.0 45
2017-09-24 @ Djurgarden D 1-167.6 1553 1631 21.45% 27.81% 50.74%-0.68 +1.0 34
2017-09-24 Ostersund W 2-163.8 1508 1608 26.79% 29.70% 43.51%-0.38 +7.0 29
2017-09-24 @ Kalmar L 1-263.8 1608 1508 43.51% 29.70% 26.79%+0.38 -7.0 39
2017-09-25 Elfsborg W 6-050.3 1697 1598 53.45% 26.83% 19.73%+0.81 +20.7 54
2017-09-25 @ Malmo L 0-650.3 1598 1697 19.73% 26.83% 53.45%-0.81 -20.7 32
2017-09-25 Goteborg W 1-056.9 1450 1592 22.56% 28.33% 49.11%-0.63 +8.1 18
2017-09-25 @ AFC Eskilstuna L 0-156.9 1592 1450 49.11% 28.33% 22.56%+0.63 -8.1 31
2017-09-25 Orebro L 3-468.9 1530 1483 46.67% 29.01% 24.33%+0.50 -6.8 33
2017-09-25 @ Sirius W 4-368.9 1483 1530 24.33% 29.01% 46.67%-0.50 +6.8 33
2017-09-29 Sirius W 4-046.2 1583 1524 48.37% 28.55% 23.08%+0.57 +16.4 34
2017-09-29 @ Goteborg L 0-446.2 1524 1583 23.08% 28.55% 48.37%-0.57 -16.4 33
2017-09-30 Jonkoping D 1-158.1 1458 1466 39.07% 30.31% 30.63%+0.17 -0.3 19
2017-09-30 @ AFC Eskilstuna D 1-158.1 1466 1458 30.63% 30.31% 39.07%-0.17 +0.3 25
2017-10-01 Djurgarden L 0-544.4 1453 1630 19.60% 26.74% 53.66%-0.84 -17.3 27
2017-10-01 @ GIF Sundsvall W 5-044.4 1630 1453 53.66% 26.74% 19.60%+0.84 +17.3 48
2017-10-01 Elfsborg W 5-255.8 1708 1578 57.31% 25.19% 17.49%+0.99 +7.0 47
2017-10-01 @ AIK Stockholm L 2-555.8 1578 1708 17.49% 25.19% 57.31%-0.99 -7.0 32
2017-10-01 Hacken D 0-062.7 1601 1600 40.31% 30.18% 29.51%+0.22 -0.4 40
2017-10-01 @ Ostersund D 0-062.7 1600 1601 29.51% 30.18% 40.31%-0.22 +0.4 42
2017-10-01 Halmstad W 2-042.1 1718 1439 73.81% 16.18% 10.01%+1.88 +3.3 57
2017-10-01 @ Malmo L 0-242.1 1439 1718 10.01% 16.18% 73.81%-1.88 -3.3 17
2017-10-01 Kalmar W 1-051.3 1490 1515 36.62% 30.46% 32.92%+0.07 +6.1 36
2017-10-01 @ Orebro L 0-151.3 1515 1490 32.92% 30.46% 36.62%-0.07 -6.1 29
2017-10-01 Norrkoping L 0-253.4 1554 1599 33.71% 30.49% 35.80%-0.05 -11.7 34
2017-10-01 @ Hammarby W 2-053.4 1599 1554 35.80% 30.49% 33.71%+0.05 +11.7 43
2017-10-14 AFC Eskilstuna W 3-041.7 1600 1458 58.79% 24.50% 16.70%+1.06 +9.1 45
2017-10-14 @ Hacken L 0-341.7 1458 1600 16.70% 24.50% 58.79%-1.06 -9.1 19
2017-10-14 Goteborg L 1-253.4 1435 1600 20.56% 27.33% 52.12%-0.76 -3.9 17
2017-10-14 @ Halmstad W 2-153.4 1600 1435 52.12% 27.33% 20.56%+0.76 +3.9 37
2017-10-14 Orebro W 3-044.4 1600 1496 54.12% 26.56% 19.32%+0.84 +10.6 43
2017-10-14 @ Ostersund L 0-344.4 1496 1600 19.32% 26.56% 54.12%-0.84 -10.6 36
2017-10-15 Djurgarden W 2-057.3 1507 1647 22.71% 28.39% 48.90%-0.62 +15.3 36
2017-10-15 @ Sirius L 0-257.3 1647 1507 48.90% 28.39% 22.71%+0.62 -15.3 48
2017-10-15 GIF Sundsvall W 2-150.6 1571 1436 57.89% 24.93% 17.18%+1.02 +3.2 35
2017-10-15 @ Elfsborg L 1-250.6 1436 1571 17.18% 24.93% 57.89%-1.02 -3.2 27
2017-10-15 Jonkoping W 2-043.6 1715 1466 70.69% 18.05% 11.27%+1.69 +3.8 50
2017-10-15 @ AIK Stockholm L 0-243.6 1466 1715 11.27% 18.05% 70.69%-1.69 -3.9 25
2017-10-16 Hammarby W 2-050.2 1509 1542 35.43% 30.50% 34.07%+0.02 +11.8 32
2017-10-16 @ Kalmar L 0-250.2 1542 1509 34.07% 30.50% 35.43%-0.02 -11.8 34
2017-10-16 Malmo L 1-359.8 1611 1721 25.64% 29.41% 44.96%-0.44 -8.2 43
2017-10-16 @ Norrkoping W 3-159.8 1721 1611 44.96% 29.41% 25.64%+0.44 +8.2 60
2017-10-20 Halmstad L 0-152.0 1486 1431 47.60% 28.76% 23.64%+0.54 -8.0 36
2017-10-20 @ Orebro W 1-052.0 1431 1486 23.64% 28.76% 47.60%-0.54 +8.0 20
2017-10-21 Elfsborg L 2-359.8 1449 1574 24.15% 28.95% 46.90%-0.53 -4.3 19
2017-10-21 @ AFC Eskilstuna W 3-259.8 1574 1449 46.90% 28.95% 24.15%+0.53 +4.3 38
2017-10-22 Hacken D 1-168.2 1632 1609 43.27% 29.74% 26.99%+0.35 -0.6 49
2017-10-22 @ Djurgarden D 1-168.2 1609 1632 26.99% 29.74% 43.27%-0.35 +0.6 46
2017-10-22 Norrkoping D 2-269.1 1433 1603 20.11% 27.06% 52.83%-0.80 +0.9 28
2017-10-22 @ GIF Sundsvall D 2-269.1 1603 1433 52.83% 27.06% 20.11%+0.80 -0.9 44
2017-10-22 Ostersund L 0-159.6 1604 1611 39.12% 30.30% 30.58%+0.17 -6.9 37
2017-10-22 @ Goteborg W 1-059.6 1611 1604 30.58% 30.30% 39.12%-0.17 +6.9 46
2017-10-23 AIK Stockholm D 0-065.7 1729 1718 41.71% 29.99% 28.30%+0.28 -0.5 61
2017-10-23 @ Malmo D 0-065.7 1718 1729 28.30% 29.99% 41.71%-0.28 +0.5 51
2017-10-23 Kalmar W 2-048.7 1463 1521 31.94% 30.41% 37.65%-0.13 +12.6 28
2017-10-23 @ Jonkoping L 0-248.7 1521 1463 37.65% 30.41% 31.94%+0.13 -12.6 32
2017-10-23 Sirius D 3-372.8 1530 1522 41.28% 30.06% 28.67%+0.26 -0.3 35
2017-10-23 @ Hammarby D 3-372.8 1522 1530 28.67% 30.06% 41.28%-0.26 +0.3 37
2017-10-28 AFC Eskilstuna D 1-156.8 1439 1445 39.41% 30.27% 30.31%+0.18 -0.3 21
2017-10-28 @ Halmstad D 1-156.8 1445 1439 30.31% 30.27% 39.41%-0.18 +0.3 20
2017-10-28 Elfsborg W 4-154.9 1618 1578 45.69% 29.24% 25.07%+0.45 +11.4 49
2017-10-28 @ Ostersund L 1-454.9 1578 1618 25.07% 29.24% 45.69%-0.45 -11.4 38
2017-10-29 Hammarby L 1-448.1 1433 1530 27.16% 29.78% 43.07%-0.36 -12.2 28
2017-10-29 @ GIF Sundsvall W 4-148.1 1530 1433 43.07% 29.78% 27.16%+0.36 +12.1 38
2017-10-29 Jonkoping D 0-062.1 1631 1475 60.43% 23.71% 15.86%+1.14 -1.8 50
2017-10-29 @ Djurgarden D 0-062.1 1475 1631 15.86% 23.71% 60.43%-1.14 +1.8 29
2017-10-29 Kalmar W 2-046.9 1610 1508 53.81% 26.69% 19.51%+0.82 +7.4 49
2017-10-29 @ Hacken L 0-246.9 1508 1610 19.51% 26.69% 53.81%-0.82 -7.4 32
2017-10-29 Malmo L 0-447.1 1523 1729 17.48% 25.18% 57.34%-1.01 -12.4 37
2017-10-29 @ Sirius W 4-047.1 1729 1523 57.34% 25.18% 17.48%+1.01 +12.5 64
2017-10-30 Goteborg W 2-159.1 1719 1597 56.33% 25.63% 18.03%+0.94 +3.4 54
2017-10-30 @ AIK Stockholm L 1-259.1 1597 1719 18.03% 25.63% 56.33%-0.94 -3.4 37
2017-10-30 Orebro W 2-044.8 1602 1478 56.58% 25.52% 17.90%+0.96 +6.7 47
2017-10-30 @ Norrkoping L 0-244.8 1478 1602 17.90% 25.52% 56.58%-0.96 -6.7 36
2017-11-05 AIK Stockholm L 1-255.1 1471 1722 14.75% 22.53% 62.72%-1.28 -2.7 36
2017-11-05 @ Orebro W 2-155.1 1722 1471 62.72% 22.53% 14.75%+1.28 +2.7 57
2017-11-05 Djurgarden L 0-249.2 1501 1629 23.78% 28.82% 47.40%-0.55 -8.9 32
2017-11-05 @ Kalmar W 2-049.2 1629 1501 47.40% 28.82% 23.78%+0.55 +8.9 53
2017-11-05 GIF Sundsvall L 0-353.2 1593 1421 62.33% 22.73% 14.93%+1.24 -26.7 37
2017-11-05 @ Goteborg W 3-053.2 1421 1593 14.93% 22.73% 62.33%-1.24 +26.7 31
2017-11-05 Hacken L 1-271.1 1741 1617 56.58% 25.52% 17.90%+0.96 -8.6 64
2017-11-05 @ Malmo W 2-171.1 1617 1741 17.90% 25.52% 56.58%-0.96 +8.5 52
2017-11-05 Halmstad L 1-358.3 1542 1439 53.98% 26.62% 19.41%+0.83 -14.3 38
2017-11-05 @ Hammarby W 3-158.3 1439 1542 19.41% 26.62% 53.98%-0.83 +14.3 24
2017-11-05 Norrkoping D 3-376.5 1567 1608 34.21% 30.50% 35.29%-0.03 +0.0 39
2017-11-05 @ Elfsborg D 3-376.5 1608 1567 35.29% 30.50% 34.21%+0.03 -0.0 48
2017-11-05 Ostersund D 0-060.8 1477 1629 21.58% 27.87% 50.55%-0.69 +1.2 30
2017-11-05 @ Jonkoping D 0-060.8 1629 1477 50.55% 27.87% 21.58%+0.69 -1.2 50
2017-11-05 Sirius L 1-351.6 1445 1510 31.00% 30.34% 38.65%-0.17 -9.5 20
2017-11-05 @ AFC Eskilstuna W 3-151.6 1510 1445 38.65% 30.34% 31.00%+0.17 +9.5 40

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
2017-11-15 Jonkoping W 2-045.6 1433 1478 33.74% 30.49% 35.77%-0.05 +12.2 1-0
2017-11-15 @ Trelleborg L 0-245.6 1478 1433 35.77% 30.49% 33.74%+0.05 -12.2 0-1
2017-11-19 Trelleborg D 1-157.8 1466 1445 43.06% 29.78% 27.16%+0.34 -0.5 0-1-1
2017-11-19 @ Jonkoping D 1-157.8 1445 1466 27.16% 29.78% 43.06%-0.34 +0.5 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 2017-07-30 13.74% Kalmar 1482 1 @ AIK Stockholm 1677 0
2 2017-08-19 13.92% @ AFC Eskilstuna 1444 3 Malmo 1711 1
3 2017-11-05 14.93% GIF Sundsvall 1421 3 @ Goteborg 1593 0
4 2017-04-17 16.23% Hammarby 1523 2 @ AIK Stockholm 1673 1
5 2017-09-10 16.38% GIF Sundsvall 1435 1 @ Sirius 1582 0
6 2017-09-10 17.65% @ Orebro 1490 2 Malmo 1693 1
7 2017-11-05 17.90% Hacken 1617 2 @ Malmo 1741 1
8 2017-11-05 19.41% Halmstad 1439 3 @ Hammarby 1542 1
9 2017-09-23 19.57% @ Halmstad 1430 2 Norrkoping 1607 1
10 2017-07-02 21.55% @ Orebro 1490 4 Norrkoping 1643 2
11 2017-04-22 22.10% @ Jonkoping 1518 2 AIK Stockholm 1664 1
12 2017-04-17 22.17% Sirius 1542 2 @ Norrkoping 1612 0
13 2017-09-25 22.56% @ AFC Eskilstuna 1450 1 Goteborg 1592 0
14 2017-10-15 22.71% @ Sirius 1507 2 Djurgarden 1647 0
15 2017-10-20 23.64% Halmstad 1431 1 @ Orebro 1486 0
16 2017-08-27 23.85% Ostersund 1552 2 @ Norrkoping 1603 0
17 2017-05-21 24.08% Norrkoping 1624 2 @ Malmo 1673 1
18 2017-07-29 24.15% Sirius 1585 2 @ Elfsborg 1634 0
19 2017-09-21 24.33% AFC Eskilstuna 1443 3 @ Orebro 1490 2
20 2017-09-25 24.33% Orebro 1483 4 @ Sirius 1530 3
21 2017-05-29 25.40% Ostersund 1564 1 @ Hacken 1601 0
22 2017-08-06 25.44% @ Kalmar 1492 1 Goteborg 1604 0
23 2017-07-16 25.95% @ Orebro 1495 4 Goteborg 1602 2
24 2017-05-29 26.28% @ Orebro 1476 2 Sirius 1581 1
25 2017-09-24 26.79% @ Kalmar 1508 2 Ostersund 1608 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 2017-09-17 30.56 Ostersund 5 1577 30.18% @ Sirius 0 1573 39.56% 30.26%
2 2017-11-05 26.66 GIF Sundsvall 3 1421 14.93% @ Goteborg 0 1593 62.33% 22.73%
3 2017-08-05 23.92 @ Halmstad 6 1441 32.96% Jonkoping 1 1492 36.57% 30.47%
4 2017-05-07 22.26 Djurgarden 4 1558 35.52% @ Orebro 0 1515 33.98% 30.49%
5 2017-05-02 22.00 @ Hacken 4 1572 36.10% Goteborg 0 1601 33.42% 30.48%
6 2017-09-24 21.28 AIK Stockholm 6 1686 38.64% @ Hacken 1 1621 31.02% 30.34%
7 2017-09-25 20.69 @ Malmo 6 1697 53.45% Elfsborg 0 1598 19.73% 26.83%
8 2017-04-16 19.69 @ Djurgarden 3 1536 28.41% Elfsborg 0 1622 41.58% 30.01%
9 2017-05-22 18.77 Goteborg 4 1585 43.18% @ GIF Sundsvall 0 1487 27.06% 29.76%
10 2017-04-29 18.36 @ Hammarby 4 1532 44.08% AFC Eskilstuna 0 1504 26.33% 29.59%
11 2017-08-21 17.86 Hammarby 3 1541 33.20% @ Orebro 0 1514 36.32% 30.47%
12 2017-10-01 17.31 Djurgarden 5 1630 53.66% @ GIF Sundsvall 0 1453 19.60% 26.74%
13 2017-04-03 17.25 Elfsborg 5 1611 38.97% @ Kalmar 1 1544 30.72% 30.32%
14 2017-09-29 16.41 @ Goteborg 4 1583 48.37% Sirius 0 1524 23.08% 28.55%
15 2017-08-19 16.29 @ AFC Eskilstuna 3 1444 13.92% Malmo 1 1711 64.51% 21.57%
16 2017-04-17 15.50 Sirius 2 1542 22.17% @ Norrkoping 0 1612 49.68% 28.15%
17 2017-10-15 15.32 @ Sirius 2 1507 22.71% Djurgarden 0 1647 48.90% 28.39%
18 2017-07-23 15.28 @ Djurgarden 3 1586 40.58% Ostersund 0 1583 29.28% 30.15%
19 2017-09-16 15.05 @ Hacken 3 1621 41.24% Elfsborg 0 1613 28.70% 30.06%
20 2017-08-27 14.93 Ostersund 2 1552 23.85% @ Norrkoping 0 1603 47.31% 28.84%
21 2017-07-29 14.83 Sirius 2 1585 24.15% @ Elfsborg 0 1634 46.90% 28.95%
22 2017-09-19 14.83 @ Norrkoping 4 1592 33.96% Hacken 1 1636 35.55% 30.49%
23 2017-05-14 14.73 @ Sirius 4 1566 34.29% Elfsborg 1 1607 35.21% 30.50%
24 2017-05-27 14.70 @ Kalmar 3 1484 42.25% GIF Sundsvall 0 1469 27.84% 29.91%
25 2017-11-05 14.30 Halmstad 3 1439 19.41% @ Hammarby 1 1542 53.98% 26.62%

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 2017-07-15 79.5 @ Malmo 3 1684 53.52% Sirius 3 1585 19.68% 26.80%
2 2017-05-02 78.6 @ Elfsborg 4 1614 47.78% Ostersund 4 1558 23.51% 28.71%
3 2017-11-05 76.5 @ Elfsborg 3 1567 34.21% Norrkoping 3 1608 35.29% 30.50%
4 2017-05-01 76.4 @ Djurgarden 3 1558 32.21% Norrkoping 3 1614 37.36% 30.43%
5 2017-08-27 75.8 @ Malmo 2 1694 51.57% Goteborg 2 1610 20.91% 27.52%
6 2017-09-20 75.1 @ Ostersund 2 1608 27.93% Malmo 2 1698 42.14% 29.93%
7 2017-07-02 75.0 @ AIK Stockholm 2 1669 52.48% Ostersund 2 1578 20.33% 27.19%
8 2017-09-19 73.7 @ Elfsborg 2 1598 35.55% Djurgarden 2 1631 33.96% 30.49%
9 2017-10-23 72.8 @ Hammarby 3 1530 41.28% Sirius 3 1522 28.67% 30.06%
10 2017-07-22 72.6 @ Sirius 2 1586 39.12% Hacken 2 1593 30.58% 30.30%
11 2017-05-05 72.4 @ Hacken 2 1594 44.08% Sirius 2 1566 26.33% 29.59%
12 2017-09-10 72.2 @ Elfsborg 2 1614 54.49% Kalmar 2 1507 19.10% 26.41%
13 2017-08-05 71.5 @ Orebro 2 1508 25.52% Elfsborg 2 1619 45.11% 29.37%
14 2017-07-23 71.1 @ Goteborg 2 1591 51.71% Orebro 2 1506 20.82% 27.47%
15 2017-11-05 71.1 Hacken 2 1617 17.90% @ Malmo 1 1741 56.58% 25.52%
16 2017-08-13 70.5 @ Hammarby 2 1541 36.74% Ostersund 2 1565 32.80% 30.46%
17 2017-08-18 70.2 @ Jonkoping 2 1462 21.80% Elfsborg 2 1612 50.22% 27.98%
18 2017-08-27 69.6 @ AIK Stockholm 1 1685 50.41% Djurgarden 1 1610 21.68% 27.92%
19 2017-05-28 69.3 @ Hammarby 2 1552 46.21% Jonkoping 2 1508 24.67% 29.12%
20 2017-04-17 69.1 Hammarby 2 1523 16.23% @ AIK Stockholm 1 1673 59.70% 24.07%
21 2017-10-22 69.1 @ GIF Sundsvall 2 1433 20.11% Norrkoping 2 1603 52.83% 27.06%
22 2017-09-25 68.9 Orebro 4 1483 24.33% @ Sirius 3 1530 46.67% 29.01%
23 2017-05-21 68.6 Norrkoping 2 1624 24.08% @ Malmo 1 1673 47.00% 28.92%
24 2017-09-10 68.5 @ Hammarby 1 1558 24.05% AIK Stockholm 1 1684 47.04% 28.91%
25 2017-09-10 68.4 @ Orebro 2 1490 17.65% Malmo 1 1693 57.02% 25.33%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2017-10-14 41.7 @ Hacken 3 1600 58.79% AFC Eskilstuna 0 1458 16.70% 24.50%
2 2017-09-09 41.8 @ Ostersund 3 1566 54.34% AFC Eskilstuna 0 1460 19.19% 26.47%
3 2017-10-01 42.1 @ Malmo 2 1718 73.81% Halmstad 0 1439 10.01% 16.18%
4 2017-08-14 42.4 @ Hacken 2 1598 60.16% GIF Sundsvall 0 1444 16.00% 23.84%
5 2017-05-27 42.7 @ Kalmar 3 1484 42.25% GIF Sundsvall 0 1469 27.84% 29.91%
6 2017-09-10 43.6 Hacken 3 1610 52.00% @ Halmstad 0 1446 20.63% 27.37%
7 2017-10-15 43.6 @ AIK Stockholm 2 1715 70.69% Jonkoping 0 1466 11.27% 18.05%
8 2017-07-23 43.8 @ Kalmar 2 1472 42.02% AFC Eskilstuna 0 1459 28.04% 29.95%
9 2017-10-01 44.4 Djurgarden 5 1630 53.66% @ GIF Sundsvall 0 1453 19.60% 26.74%
10 2017-10-14 44.4 @ Ostersund 3 1600 54.12% Orebro 0 1496 19.32% 26.56%
11 2017-05-01 44.5 @ Kalmar 2 1502 44.68% Halmstad 0 1470 25.85% 29.47%
12 2017-04-11 44.8 @ Malmo 2 1642 61.38% GIF Sundsvall 0 1478 15.39% 23.22%
13 2017-10-30 44.8 @ Norrkoping 2 1602 56.58% Orebro 0 1478 17.90% 25.52%
14 2017-04-29 45.0 @ Hammarby 4 1532 44.08% AFC Eskilstuna 0 1504 26.33% 29.59%
15 2017-08-11 45.0 @ Malmo 6 1697 65.19% Kalmar 0 1500 13.61% 21.19%
16 2017-08-12 45.1 Sirius 3 1587 46.46% @ Halmstad 0 1465 24.48% 29.06%
17 2017-07-22 45.2 @ Malmo 2 1684 64.77% Jonkoping 0 1490 13.80% 21.42%
18 2017-09-17 45.3 @ AIK Stockholm 4 1683 70.75% Halmstad 1 1435 11.24% 18.01%
19 2017-05-07 45.6 @ Goteborg 3 1579 49.25% Kalmar 0 1512 22.47% 28.29%
20 2017-08-07 45.6 @ Norrkoping 1 1600 60.42% AFC Eskilstuna 0 1444 15.87% 23.71%
21 2017-11-15 * 45.6 @ Trelleborg 2 1433 33.74% Jonkoping 0 1478 35.77% 30.49%
22 2017-04-24 45.9 @ Sirius 3 1557 46.09% Kalmar 0 1515 24.76% 29.15%
23 2017-05-16 46.0 @ Norrkoping 2 1617 56.38% Kalmar 0 1494 18.01% 25.61%
24 2017-08-27 46.0 @ Elfsborg 1 1611 61.16% Halmstad 0 1449 15.50% 23.34%
25 2017-05-22 46.1 @ Elfsborg 3 1596 50.56% Jonkoping 0 1520 21.57% 27.87%