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2019 Allsvenskan Season

240 games · 2 promotion-playoff teams

Final

Champion

Djurgarden

66 points

Relegated

No relegation

Biggest Overachiever

Hammarby

12.30 points above expected

65 points · 52.70 expected points

Biggest Disappointment

GIF Sundsvall

11.93 points below expected

20 points · 31.93 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 Djurgarden 30 20 6 4 66 53 19 +34 55.54 +10.46
2 Malmo 30 19 8 3 65 56 16 +40 58.03 +6.97
3 Hammarby 30 20 5 5 65 75 38 +37 52.70 +12.30
4 AIK Stockholm 30 19 5 6 62 47 24 +23 54.18 +7.82
5 Norrkoping 30 16 9 5 57 54 26 +28 53.24 +3.76
6 Hacken 30 14 7 9 49 44 29 +15 52.85 -3.85
7 Goteborg 30 13 9 8 48 46 31 +15 46.17 +1.83
8 Elfsborg 30 11 10 9 43 44 45 -1 38.05 +4.95
9 Orebro 30 9 6 15 33 40 56 -16 33.70 -0.70
10 Helsingborg 30 8 6 16 30 29 49 -20 31.79 -1.79
11 Sirius 30 8 5 17 29 34 51 -17 32.13 -3.13
12 Ostersund 30 5 10 15 25 27 52 -25 34.40 -9.40
13 Falkenbergs 30 6 7 17 25 25 62 -37 26.09 -1.09
14 Kalmar 30 4 11 15 23 22 47 -25 31.57 -8.57
15 GIF Sundsvall 30 4 8 18 20 31 50 -19 31.93 -11.93
16 AFC Eskilstuna 30 4 8 18 20 23 55 -32 27.31 -7.31

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 Hammarby 65 52.70 +12.30
2 Djurgarden 66 55.54 +10.46
3 AIK Stockholm 62 54.18 +7.82
4 Malmo 65 58.03 +6.97
5 Elfsborg 43 38.05 +4.95

Biggest Disappointments

# Team Actual Sim vsSim
1 GIF Sundsvall 20 31.93 -11.93
2 Ostersund 25 34.40 -9.40
3 Kalmar 23 31.57 -8.57
4 AFC Eskilstuna 20 27.31 -7.31
5 Hacken 49 52.85 -3.85

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 Hammarby 8 Sep 15 – Nov 2 1 in 229
2 Djurgarden 6 Jul 22 – Aug 25 1 in 36
3 Goteborg 3 Apr 29 – May 13 1 in 23
4 Malmo 6 Sep 1 – Oct 6 1 in 15
5 AIK Stockholm 5 Jul 6 – Aug 11 1 in 12

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Ostersund 7 Aug 19 – Sep 30 1 in 156
2 GIF Sundsvall 4 May 5 – May 20 1 in 46
3 Kalmar 5 Jul 1 – Jul 29 1 in 27
4 Sirius 5 Jul 27 – Aug 24 1 in 15
5 AFC Eskilstuna 4 Apr 21 – May 4 1 in 14

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Kalmar 7 Apr 7 – May 11 1 in 67
2 Malmo 18 Apr 14 – Aug 18 1 in 63
3 Elfsborg 6 Sep 25 – Nov 2 1 in 30
4 Djurgarden 13 May 15 – Aug 25 1 in 19
5 AFC Eskilstuna 3 Jun 29 – Jul 13 1 in 10

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 GIF Sundsvall 18 May 5 – Sep 20 1 in 182
2 Hacken 5 Sep 15 – Oct 6 1 in 83
3 AFC Eskilstuna 13 Apr 8 – Jul 8 1 in 67
4 Ostersund 12 Jul 21 – Oct 6 1 in 45
5 Helsingborg 9 Apr 22 – Jun 2 1 in 33

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
Djurgarden 1837 66 +10 10 9.3 +0.7
Hammarby 1897 65 +101 15 9.4 +5.6
Malmo 1888 65 +38 12 9.7 +2.3
AIK Stockholm 1781 62 -10 10 10.2 -0.2
Norrkoping 1831 57 +23 11 10.4 +0.6
Hacken 1675 49 -24 5 7.4 -2.4
Goteborg 1638 48 -35 4 6.8 -2.8
Elfsborg 1629 43 +90 11 7.2 +3.8
Orebro 1490 33 -77 1 3.5 -2.5
Helsingborg 1443 30 -5 6 6.0 -0.0
Sirius 1441 29 -2 7 7.1 -0.1
Falkenbergs 1364 25 -5 6 3.8 +2.2
Ostersund 1362 25 +14 4 2.9 +1.1
Kalmar 1300 23 -91 1 5.5 -4.5
AFC Eskilstuna 1369 20 -1 5 5.7 -0.7
GIF Sundsvall 1399 20 -25 4 5.4 -1.4

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 FAL GS GOT HAC HAM HEL KAL MAL NOR ORE OST SIR
AFC Eskilstuna —
0-0-2
1.25
0-1-1
0.92
0-1-1
1.86
0-1-1
3.01
1-1-0
2.15
1-0-1
2.22
0-0-2
1.20
0-0-2
1.71
0-1-1
2.47
1-1-0
2.46
0-0-2
0.78
0-0-2
1.10
0-1-1
2.59
1-0-1
2.10
0-1-1
2.74
AIK Stockholm
2-0-0
4.26
 —
2-0-0
2.32
1-1-0
4.18
2-0-0
4.78
1-1-0
4.43
1-0-1
3.54
2-0-0
2.70
1-0-1
2.88
2-0-0
4.04
1-0-1
4.25
0-1-1
2.26
0-1-1
3.25
1-0-1
4.27
1-1-0
4.03
2-0-0
3.95
Djurgarden
1-1-0
4.64
0-0-2
3.15
 —
2-0-0
3.97
2-0-0
4.33
1-1-0
4.09
2-0-0
3.64
2-0-0
2.51
0-0-2
3.20
1-1-0
4.16
2-0-0
4.27
1-1-0
2.53
0-2-0
2.96
2-0-0
3.85
2-0-0
4.50
2-0-0
4.14
Elfsborg
1-1-0
3.62
0-1-1
1.33
0-0-2
1.53
 —
1-0-1
3.87
2-0-0
2.68
1-0-1
2.58
1-1-0
1.52
0-1-1
1.90
1-1-0
3.49
1-1-0
2.98
0-0-2
1.33
0-1-1
1.93
1-1-0
3.03
1-1-0
2.42
1-1-0
3.11
Falkenbergs
1-1-0
2.46
0-0-2
0.80
0-0-2
1.23
1-0-1
1.62
 —
1-0-1
2.10
0-2-0
1.14
0-0-2
1.33
0-0-2
1.08
0-2-0
2.29
1-1-0
2.11
0-0-2
1.04
0-0-2
1.10
1-0-1
2.59
1-0-1
2.36
0-1-1
2.26
GIF Sundsvall
0-1-1
3.33
0-1-1
1.12
0-1-1
1.43
0-0-2
2.79
1-0-1
3.38
 —
0-0-2
1.18
0-0-2
1.41
0-0-2
1.31
0-1-1
2.65
1-0-1
2.76
1-0-1
1.66
0-1-1
1.23
0-1-1
2.53
0-2-0
2.29
1-0-1
2.93
Goteborg
1-0-1
3.28
1-0-1
1.95
0-0-2
1.84
1-0-1
2.89
0-2-0
4.39
2-0-0
4.34
 —
1-1-0
2.47
0-1-1
2.66
2-0-0
3.38
1-1-0
3.55
0-1-1
1.96
1-1-0
2.72
0-1-1
3.87
1-1-0
3.97
2-0-0
3.88
Hacken
2-0-0
4.32
0-0-2
2.77
0-0-2
2.96
0-1-1
3.98
2-0-0
4.21
2-0-0
4.09
0-1-1
3.01
 —
1-0-1
2.33
2-0-0
3.90
1-1-0
4.28
0-2-0
2.50
0-0-2
2.47
2-0-0
4.03
0-2-0
3.83
2-0-0
4.19
Hammarby
2-0-0
3.78
1-0-1
2.59
2-0-0
2.28
1-1-0
3.59
2-0-0
4.45
2-0-0
4.21
1-1-0
2.82
1-0-1
3.17
 —
1-0-1
3.61
0-2-0
4.17
1-0-1
2.42
0-1-1
2.90
2-0-0
3.94
2-0-0
4.03
2-0-0
4.26
Helsingborg
1-1-0
3.01
0-0-2
1.46
0-1-1
1.37
0-1-1
1.99
0-2-0
3.19
1-1-0
2.82
0-0-2
2.11
0-0-2
1.59
1-0-1
1.90
 —
1-0-1
2.93
0-0-2
0.93
1-0-1
1.53
1-0-1
2.60
1-0-1
2.44
1-0-1
2.79
Kalmar
0-1-1
3.01
1-0-1
1.28
0-0-2
1.24
0-1-1
2.50
0-1-1
3.37
1-0-1
2.72
0-1-1
1.95
0-1-1
1.24
0-2-0
1.33
1-0-1
2.55
 —
0-0-2
1.12
0-1-1
1.35
0-2-0
2.44
1-1-0
2.26
0-0-2
2.61
Malmo
2-0-0
4.80
1-1-0
3.22
0-1-1
2.94
2-0-0
4.18
2-0-0
4.51
1-0-1
3.86
1-1-0
3.53
0-2-0
2.97
1-0-1
3.06
2-0-0
4.63
2-0-0
4.41
 —
1-1-0
3.09
2-0-0
4.60
1-1-0
3.72
1-1-0
3.89
Norrkoping
2-0-0
4.46
1-1-0
2.23
0-2-0
2.52
1-1-0
3.57
2-0-0
4.44
1-1-0
4.29
0-1-1
2.75
2-0-0
3.01
1-1-0
2.58
1-0-1
4.00
1-1-0
4.21
0-1-1
2.38
 —
2-0-0
3.87
1-0-1
3.91
1-0-1
4.30
Orebro
1-1-0
2.90
1-0-1
1.25
0-0-2
1.66
0-1-1
2.44
1-0-1
2.89
1-1-0
2.98
1-1-0
1.63
0-0-2
1.48
0-0-2
1.56
1-0-1
2.87
0-2-0
3.04
0-0-2
0.95
0-0-2
1.63
 —
2-0-0
2.91
1-0-1
3.30
Ostersund
1-0-1
3.38
0-1-1
1.47
0-0-2
1.05
0-1-1
3.06
1-0-1
3.12
0-2-0
3.19
0-1-1
1.53
0-2-0
1.70
0-0-2
1.50
1-0-1
3.03
0-1-1
3.22
0-1-1
1.77
1-0-1
1.58
0-0-2
2.59
 —
1-1-0
2.30
Sirius
1-1-0
2.73
0-0-2
1.54
0-0-2
1.38
0-1-1
2.37
1-1-0
3.22
1-0-1
2.54
0-0-2
1.62
0-0-2
1.32
0-0-2
1.26
1-0-1
2.68
2-0-0
2.87
0-1-1
1.62
1-0-1
1.22
1-0-1
2.18
0-1-1
3.17
 —

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 0.83 +11.0
Allowed 0.79 -10.8
Differential 0.95 +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
07.50%7.08%7.71%3.54%1.25%1.04%28.12%
17.08%13.75%8.33%2.92%1.67%0.83%34.58%
27.71%8.33%3.33%1.04%0.83%0.62%21.88%
33.54%2.92%1.04%—0.62%—8.12%
41.25%1.67%0.83%0.62%0.42%—4.79%
5+1.04%0.83%0.62%———2.50%
Total28.12%34.58%21.88%8.12%4.79%2.50%100%

Summary Statistics

Scored Allowed Difference
Mean 1.35 1.35 +0.00
SD 1.28 1.28 1.92
CV 0.94 0.94 —
Max 7 7 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
013.33%16.67%6.67%6.67%3.33%3.33%50.00%
13.33%10.00%6.67%6.67%—3.33%30.00%
2—3.33%3.33%3.33%3.33%—13.33%
3—6.67%————6.67%
4———————
5+———————
Total16.67%36.67%16.67%16.67%6.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 0.77 1.83 -1.07
SD 0.94 1.53 1.74
CV 1.22 0.84 —
Max 3 6 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%—6.67%3.33%——20.00%
113.33%6.67%10.00%———30.00%
220.00%13.33%————33.33%
33.33%6.67%————10.00%
4——3.33%———3.33%
5+—3.33%————3.33%
Total46.67%30.00%20.00%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 0.80 +0.77
SD 1.22 0.89 1.57
CV 0.78 1.11 —
Max 5 3 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%3.33%———6.67%
120.00%13.33%6.67%———40.00%
216.67%6.67%6.67%———30.00%
313.33%3.33%————16.67%
43.33%3.33%————6.67%
5+———————
Total53.33%30.00%16.67%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 0.63 +1.13
SD 1.04 0.76 1.46
CV 0.59 1.21 —
Max 4 2 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%6.67%10.00%——26.67%
13.33%20.00%3.33%—3.33%—30.00%
23.33%13.33%6.67%——3.33%26.67%
3—3.33%————3.33%
43.33%3.33%6.67%———13.33%
5+———————
Total16.67%43.33%23.33%10.00%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.50 -0.03
SD 1.31 1.20 1.87
CV 0.89 0.80 —
Max 4 5 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%13.33%6.67%6.67%3.33%43.33%
110.00%13.33%3.33%3.33%3.33%3.33%36.67%
23.33%3.33%—3.33%—3.33%13.33%
3——3.33%—3.33%—6.67%
4———————
5+———————
Total23.33%20.00%20.00%13.33%13.33%10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 0.83 2.07 -1.23
SD 0.91 1.74 1.89
CV 1.10 0.84 —
Max 3 6 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%10.00%3.33%——33.33%
1—13.33%23.33%3.33%3.33%—43.33%
23.33%3.33%3.33%3.33%——13.33%
3—6.67%————6.67%
4————3.33%—3.33%
5+———————
Total10.00%36.67%36.67%10.00%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.67 -0.63
SD 1.03 1.03 1.27
CV 1.00 0.62 —
Max 4 4 +2
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%13.33%3.33%———33.33%
13.33%10.00%3.33%3.33%——20.00%
23.33%16.67%3.33%——3.33%26.67%
36.67%3.33%————10.00%
43.33%—3.33%———6.67%
5+—3.33%————3.33%
Total33.33%46.67%13.33%3.33%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.03 +0.50
SD 1.61 1.22 1.94
CV 1.05 1.18 —
Max 7 6 +6
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%3.33%———20.00%
110.00%16.67%13.33%—3.33%—43.33%
210.00%6.67%————16.67%
310.00%—————10.00%
4—6.67%—3.33%——10.00%
5+———————
Total36.67%40.00%16.67%3.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 0.97 +0.50
SD 1.22 1.00 1.61
CV 0.83 1.03 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%—10.00%———13.33%
1—6.67%3.33%—3.33%—13.33%
210.00%16.67%6.67%———33.33%
33.33%6.67%6.67%———16.67%
43.33%3.33%————6.67%
5+—6.67%10.00%———16.67%
Total20.00%40.00%36.67%—3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.50 1.27 +1.23
SD 1.78 0.91 2.03
CV 0.71 0.72 —
Max 6 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—6.67%10.00%6.67%—3.33%26.67%
16.67%20.00%16.67%6.67%3.33%—53.33%
26.67%10.00%————16.67%
3—3.33%————3.33%
4———————
5+———————
Total13.33%40.00%26.67%13.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.63 -0.67
SD 0.76 1.19 1.69
CV 0.79 0.73 —
Max 3 5 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%16.67%13.33%3.33%3.33%3.33%46.67%
13.33%23.33%3.33%3.33%——33.33%
2—10.00%6.67%3.33%——20.00%
3———————
4———————
5+———————
Total10.00%50.00%23.33%10.00%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.73 1.57 -0.83
SD 0.78 1.14 1.44
CV 1.07 0.72 —
Max 2 5 +1
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%3.33%———16.67%
120.00%16.67%—3.33%——40.00%
26.67%10.00%————16.67%
36.67%—————6.67%
4—6.67%————6.67%
5+13.33%—————13.33%
Total56.67%36.67%3.33%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.87 0.53 +1.33
SD 1.63 0.73 1.94
CV 0.88 1.37 —
Max 5 3 +5
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%6.67%————16.67%
16.67%6.67%6.67%3.33%——23.33%
223.33%6.67%10.00%———40.00%
36.67%—————6.67%
43.33%——3.33%3.33%—10.00%
5+3.33%—————3.33%
Total53.33%20.00%16.67%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.80 0.87 +0.93
SD 1.30 1.14 1.60
CV 0.72 1.31 —
Max 5 4 +5
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%6.67%13.33%—3.33%33.33%
13.33%10.00%10.00%——3.33%26.67%
23.33%6.67%6.67%3.33%3.33%—23.33%
3—6.67%————6.67%
43.33%3.33%—3.33%——10.00%
5+———————
Total13.33%33.33%23.33%20.00%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.87 -0.53
SD 1.30 1.36 2.10
CV 0.97 0.73 —
Max 4 5 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%10.00%3.33%3.33%—30.00%
13.33%23.33%13.33%10.00%3.33%3.33%56.67%
23.33%3.33%————6.67%
33.33%—3.33%———6.67%
4———————
5+———————
Total20.00%30.00%26.67%13.33%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.90 1.73 -0.83
SD 0.80 1.53 1.80
CV 0.89 0.88 —
Max 3 7 +3
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%16.67%—3.33%—33.33%
16.67%10.00%10.00%3.33%3.33%—33.33%
210.00%3.33%——6.67%—20.00%
33.33%—3.33%—6.67%—13.33%
4———————
5+———————
Total26.67%20.00%30.00%3.33%20.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.13 1.70 -0.57
SD 1.04 1.44 1.65
CV 0.92 0.85 —
Max 3 4 +3
Min 0 0 -4

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
Hammarby 1897 65 52.70 +12.30 95.0% 34 41 48 53 58 65 70
Malmo 1888 65 58.03 +6.97 86.0% 40 46 53 58 62 70 72
Djurgarden 1837 66 55.54 +10.46 95.0% 37 45 51 56 61 66 71
Norrkoping 1831 57 53.24 +3.76 78.0% 35 42 49 53 56 63 67
AIK Stockholm 1781 62 54.18 +7.82 87.0% 33 41 50 55 58 64 71
Hacken 1675 49 52.85 -3.85 34.0% 36 42 48 52 57 65 74
Goteborg 1638 48 46.17 +1.83 62.0% 26 35 42 47 51 56 60
Elfsborg 1629 43 38.05 +4.95 78.0% 20 26 33 38 43 49 53
Orebro 1490 33 33.70 -0.70 51.0% 20 23 29 33 39 46 51
Helsingborg 1443 30 31.79 -1.79 40.0% 12 22 28 32 36 40 45
Sirius 1441 29 32.13 -3.13 37.0% 20 23 27 32 36 43 48
GIF Sundsvall 1399 20 31.93 -11.93 3.0% 18 22 28 31 36 42 46
AFC Eskilstuna 1369 20 27.31 -7.31 11.0% 15 17 24 27 31 36 43
Kalmar 1367 23 31.57 -8.57 8.0% 16 22 28 31 35 41 53
Falkenbergs 1364 25 26.09 -1.09 43.0% 13 17 21 27 30 36 38
Ostersund 1362 25 34.40 -9.40 10.0% 22 24 30 34 39 45 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
+16.67%
Clear Edge
45.83%25.00%29.17%
Elo Value
Home Edge
167 Elo
0.006 goals per Elo point
058.45500
Scoring Tilt
Expected
+0.46 goals
Neutral
-2+0.35+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
4.6
Open
134510
Champion Preseason Odds
21%
Djurgarden, 2nd of 16
LongshotFavorite
Title Margin
Expected
0.03/gm
Photo Finish
00.150.5/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 5.17 * Some Luck: 5.17 to 7.75 * Lucky: 7.75 to 10.34 * Wild Swing: 10.34 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 1.63 * Close: 1.63 to 2.44 * Off: 2.44 to 3.26 * Way Off: 3.26 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
7.07 points
Some Luck
06.4616
Average Finish Error
Expected
1.38
Pinpoint
02.045
Biggest Overachiever
Expected 96.88%
95.00%
Djurgarden
50100
Biggest Underachiever
Expected 3.12%
3.00%
GIF Sundsvall
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
0.23
Lopsided
00.140.5
Noll-Scully
Elo SD: 212.15
2.44
Wide Separation
0.951.41.652.75
Interquartile Edge
91%
Wide Edge
50%63%71.5%100%
Best vs. Worst
Baseline 99%
97%
Dominant
50%100%
Close Games
Expected
59%
Frequent
0%56%100%
Blowouts
Expected
18%
Occasional
0%19%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
0.54
Highly Predictable
00.582
Matchup Imbalance
0.44
Lopsided
00.30.40.5
Strangeness
Expected
1.18
Wilder Than Modeled
01.002
Repeatability
0.56
Strong Carryover
00.380.530.691
Upset Rate
Expected
17%
Chalky
0%21%50%
Clear Favorite Upset Rate
Expected
13%
Solid Favorites
0%17%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 0.16 * Above Noise: 0.16 to 0.22 * Well Above Noise: 0.22 and up.
Probability calibration
0.01
Miscalibrated
0.010.050.10.51
Calibration slope
Ideal
1.25
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.088
Well Within Noise
00.1090.25

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

Kalmar 4
Brage 2

Leg 1: Kalmar 2-2 Brage

Leg 2: Brage 0-2 Kalmar

Sim: 1.0%

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
Djurgarden21.00%21.00%17.00%13.00%9.00%11.00%4.00%2.00%1.00%1.00%——————
Malmo36.00%23.00%14.00%11.00%7.00%3.00%6.00%—————————
Hammarby13.00%11.00%16.00%8.00%17.00%16.00%11.00%6.00%——2.00%—————
AIK Stockholm11.00%18.00%13.00%20.00%16.00%9.00%6.00%5.00%1.00%—1.00%—————
Norrkoping8.00%13.00%23.00%17.00%14.00%16.00%4.00%3.00%—1.00%1.00%—————
Hacken10.00%12.00%11.00%18.00%21.00%8.00%11.00%7.00%1.00%——1.00%————
Goteborg1.00%2.00%5.00%11.00%10.00%21.00%24.00%11.00%8.00%5.00%1.00%———1.00%—
Elfsborg———1.00%4.00%5.00%14.00%19.00%18.00%9.00%10.00%6.00%5.00%5.00%2.00%2.00%
Orebro———1.00%—5.00%4.00%15.00%5.00%17.00%10.00%9.00%12.00%12.00%5.00%5.00%
Helsingborg——————2.00%5.00%15.00%16.00%11.00%8.00%14.00%10.00%13.00%6.00%
Sirius—————2.00%5.00%3.00%9.00%16.00%12.00%10.00%13.00%14.00%10.00%6.00%
Ostersund————2.00%1.00%6.00%10.00%16.00%10.00%11.00%18.00%7.00%6.00%8.00%5.00%
Falkenbergs————————3.00%4.00%6.00%7.00%10.00%17.00%17.00%36.00%
Kalmar——1.00%———1.00%7.00%8.00%8.00%11.00%18.00%14.00%12.00%12.00%8.00%
GIF Sundsvall—————3.00%2.00%6.00%10.00%8.00%18.00%11.00%14.00%11.00%9.00%8.00%
AFC Eskilstuna———————1.00%5.00%5.00%6.00%12.00%11.00%13.00%23.00%24.00%

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% — —
Djurgarden 100% — —
Hacken 100% — —
Hammarby 100% — —
Malmo 100% — —
Norrkoping 100% — —
Goteborg 99.00% — 1.00%
Elfsborg 91.00% 5.00% 4.00%
Ostersund 81.00% 6.00% 13.00%
Orebro 78.00% 12.00% 10.00%
GIF Sundsvall 72.00% 11.00% 17.00%
Helsingborg 71.00% 10.00% 19.00%
Sirius 70.00% 14.00% 16.00%
AFC Eskilstuna 40.00% 13.00% 47.00%
Falkenbergs 30.00% 17.00% 53.00%
Kalmar — 100% —
Loser →
↓ Winner
AFC EskilstunaBrageDalkurdDegerforsElfsborgFalkenbergsGIF SundsvallHalmstadHelsingborgJonkopingKalmarMjallbyNorrbyOrebroOrgryteOstersundSiriusVarbergVasteras SK
AFC Eskilstuna0.0%1.00%0.0%1.00%100.0%1.00%0.0%5.00%0.0%2.00%33.3%3.00%0.0%5.00%
Brage100.0%1.00%100.0%1.00%100.0%2.00%100.0%1.00%100.0%1.00%66.7%3.00%50.0%2.00%100.0%1.00%0.0%1.00%
Dalkurd100.0%1.00%100.0%1.00%
Degerfors100.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
Elfsborg0.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%66.7%3.00%
Falkenbergs0.0%2.00%0.0%1.00%0.0%1.00%50.0%2.00%33.3%3.00%50.0%2.00%50.0%2.00%50.0%2.00%
GIF Sundsvall0.0%1.00%100.0%1.00%100.0%1.00%50.0%2.00%0.0%1.00%0.0%1.00%0.0%1.00%
Halmstad0.0%1.00%100.0%1.00%50.0%2.00%0.0%1.00%100.0%2.00%100.0%1.00%
Helsingborg0.0%1.00%66.7%3.00%33.3%3.00%50.0%2.00%66.7%3.00%100.0%1.00%
Jonkoping100.0%5.00%0.0%1.00%66.7%3.00%50.0%2.00%33.3%3.00%66.7%6.00%100.0%1.00%100.0%1.00%
Kalmar33.3%3.00%0.0%1.00%33.3%6.00%0.0%1.00%100.0%1.00%100.0%1.00%100.0%1.00%
Mjallby100.0%2.00%50.0%2.00%100.0%1.00%66.7%3.00%100.0%1.00%100.0%1.00%100.0%1.00%
Norrby100.0%1.00%
Orebro50.0%2.00%0.0%2.00%0.0%1.00%0.0%1.00%
Orgryte66.7%3.00%50.0%2.00%100.0%1.00%50.0%2.00%0.0%1.00%50.0%2.00%50.0%4.00%
Ostersund0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%50.0%2.00%50.0%2.00%
Sirius100.0%1.00%0.0%1.00%0.0%1.00%50.0%4.00%50.0%4.00%
Varberg100.0%5.00%33.3%3.00%50.0%2.00%100.0%1.00%33.3%3.00%0.0%1.00%100.0%1.00%50.0%2.00%50.0%4.00%
Vasteras SK0.0%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
Brage 80.16%
Kalmar 19.84%
Loser →
↓ Winner
BrageKalmar
Brage80.2%100.00%
Kalmar19.8%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
2019-03-31 Goteborg W 3-153.8 1542 1526 46.87% 26.27% 26.86%+0.45 +26.7 3
2019-03-31 @ AFC Eskilstuna L 1-353.8 1526 1542 26.86% 26.27% 46.87%-0.45 -26.7 0
2019-03-31 Norrkoping W 3-163.4 1544 1664 28.44% 26.35% 45.21%-0.37 +39.8 3
2019-03-31 @ Helsingborg L 1-363.4 1664 1544 45.21% 26.35% 28.44%+0.37 -39.8 0
2019-03-31 Orebro W 1-051.3 1519 1524 44.14% 26.39% 29.48%+0.32 +17.6 3
2019-03-31 @ Falkenbergs L 0-151.3 1524 1519 29.48% 26.39% 44.14%-0.32 -17.6 0
2019-03-31 Ostersund D 0-066.6 1697 1608 55.17% 25.60% 19.23%+0.88 -4.8 1
2019-03-31 @ AIK Stockholm D 0-066.6 1608 1697 19.23% 25.60% 55.17%-0.88 +4.8 1
2019-03-31 Sirius L 0-253.5 1534 1507 48.17% 26.20% 25.63%+0.51 -48.5 0
2019-03-31 @ Kalmar W 2-053.5 1507 1534 25.63% 26.20% 48.17%-0.51 +48.5 3
2019-04-01 GIF Sundsvall D 2-274.3 1602 1574 48.30% 26.19% 25.50%+0.52 -1.9 1
2019-04-01 @ Djurgarden D 2-274.3 1574 1602 25.50% 26.19% 48.30%-0.52 +1.9 1
2019-04-01 Hacken D 1-171.4 1675 1671 45.43% 26.34% 28.24%+0.38 -1.9 1
2019-04-01 @ Malmo D 1-171.4 1671 1675 28.24% 26.34% 45.43%-0.38 +1.9 1
2019-04-01 Hammarby D 1-168.0 1536 1619 33.27% 26.48% 40.25%-0.15 +0.8 1
2019-04-01 @ Elfsborg D 1-168.0 1619 1536 40.25% 26.48% 33.27%+0.15 -0.8 1
2019-04-06 Helsingborg W 2-159.4 1672 1584 55.11% 25.61% 19.28%+0.88 +11.7 4
2019-04-06 @ Hacken L 1-259.4 1584 1672 19.28% 25.61% 55.11%-0.88 -11.7 3
2019-04-06 Malmo W 3-163.3 1576 1674 31.39% 26.44% 42.17%-0.23 +37.6 4
2019-04-06 @ GIF Sundsvall L 1-363.3 1674 1576 42.17% 26.44% 31.39%+0.23 -37.6 1
2019-04-07 Elfsborg W 3-047.1 1499 1537 39.69% 26.49% 33.82%+0.12 +53.4 3
2019-04-07 @ Goteborg L 0-347.1 1537 1499 33.82% 26.49% 39.69%-0.12 -53.4 1
2019-04-07 Falkenbergs W 3-262.5 1613 1537 53.81% 25.75% 20.44%+0.80 +11.7 4
2019-04-07 @ Ostersund L 2-362.5 1537 1613 20.44% 25.75% 53.81%-0.80 -11.7 3
2019-04-07 Kalmar D 1-166.9 1618 1485 59.42% 25.00% 15.57%+1.15 -5.4 2
2019-04-07 @ Hammarby D 1-166.9 1485 1618 15.57% 25.00% 59.42%-1.15 +5.4 1
2019-04-08 AFC Eskilstuna W 3-264.9 1556 1569 43.06% 26.42% 30.52%+0.27 +16.1 6
2019-04-08 @ Sirius L 2-364.9 1569 1556 30.52% 26.42% 43.06%-0.27 -16.1 3
2019-04-08 AIK Stockholm D 0-066.4 1625 1692 35.46% 26.50% 38.04%-0.05 +0.3 1
2019-04-08 @ Norrkoping D 0-066.4 1692 1625 38.04% 26.50% 35.46%+0.05 -0.3 2
2019-04-08 Djurgarden L 0-348.9 1507 1600 31.84% 26.45% 41.71%-0.21 -51.0 0
2019-04-08 @ Orebro W 3-048.9 1600 1507 41.71% 26.45% 31.84%+0.21 +51.0 4
2019-04-12 Orebro D 1-163.3 1553 1456 55.99% 25.50% 18.51%+0.93 -4.5 4
2019-04-12 @ AFC Eskilstuna D 1-163.3 1456 1553 18.51% 25.50% 55.99%-0.93 +4.5 1
2019-04-13 Hacken L 0-349.2 1525 1684 23.90% 26.08% 50.02%-0.60 -40.8 3
2019-04-13 @ Falkenbergs W 3-049.2 1684 1525 50.02% 26.08% 23.90%+0.60 +40.8 7
2019-04-13 Norrkoping D 2-272.6 1491 1625 26.75% 26.26% 46.99%-0.45 +1.7 2
2019-04-13 @ Kalmar D 2-272.6 1625 1491 46.99% 26.26% 26.75%+0.45 -1.7 2
2019-04-14 GIF Sundsvall W 3-160.7 1483 1614 27.17% 26.29% 46.54%-0.43 +40.8 4
2019-04-14 @ Elfsborg L 1-360.7 1614 1483 46.54% 26.29% 27.17%+0.43 -40.8 4
2019-04-14 Ostersund W 2-053.3 1636 1624 46.26% 26.30% 27.44%+0.42 +31.3 4
2019-04-14 @ Malmo L 0-253.3 1624 1636 27.44% 26.30% 46.26%-0.42 -31.3 4
2019-04-14 Sirius W 2-158.6 1692 1572 58.23% 25.19% 16.58%+1.07 +10.3 5
2019-04-14 @ AIK Stockholm L 1-258.6 1572 1692 16.58% 25.19% 58.23%-1.07 -10.3 6
2019-04-15 Goteborg W 2-158.0 1651 1552 56.19% 25.48% 18.34%+0.94 +11.2 7
2019-04-15 @ Djurgarden L 1-258.0 1552 1651 18.34% 25.48% 56.19%-0.94 -11.2 3
2019-04-15 Hammarby W 2-162.7 1572 1613 39.26% 26.49% 34.24%+0.11 +18.5 6
2019-04-15 @ Helsingborg L 1-262.7 1613 1572 34.24% 26.49% 39.26%-0.11 -18.5 2
2019-04-19 AIK Stockholm W 2-169.0 1460 1702 16.18% 25.12% 58.71%-1.10 +29.0 4
2019-04-19 @ Orebro L 1-269.0 1702 1460 58.71% 25.12% 16.18%+1.10 -29.0 5
2019-04-19 Elfsborg D 1-167.1 1593 1524 53.06% 25.83% 21.12%+0.76 -3.8 5
2019-04-19 @ Ostersund D 1-167.1 1524 1593 21.12% 25.83% 53.06%-0.76 +3.8 5
2019-04-19 Falkenbergs W 4-362.0 1623 1484 59.95% 24.91% 15.13%+1.18 +8.8 5
2019-04-19 @ Norrkoping L 3-462.0 1484 1623 15.13% 24.91% 59.95%-1.18 -8.8 3
2019-04-20 Kalmar L 1-264.9 1573 1492 54.31% 25.70% 19.99%+0.83 -27.0 4
2019-04-20 @ GIF Sundsvall W 2-164.9 1492 1573 19.99% 25.70% 54.31%-0.83 +27.0 5
2019-04-20 Malmo L 0-156.9 1561 1667 30.26% 26.41% 43.33%-0.28 -17.9 6
2019-04-20 @ Sirius W 1-056.9 1667 1561 43.33% 26.41% 30.26%+0.28 +17.9 7
2019-04-21 AFC Eskilstuna W 3-155.1 1595 1548 50.51% 26.04% 23.44%+0.63 +23.9 5
2019-04-21 @ Hammarby L 1-355.1 1548 1595 23.44% 26.04% 50.51%-0.63 -23.9 4
2019-04-21 Djurgarden L 0-165.3 1725 1663 52.32% 25.89% 21.79%+0.72 -27.7 7
2019-04-21 @ Hacken W 1-065.3 1663 1725 21.79% 25.89% 52.32%-0.72 +27.7 10
2019-04-22 Helsingborg W 3-158.6 1541 1591 38.00% 26.50% 35.50%+0.05 +33.0 6
2019-04-22 @ Goteborg L 1-358.6 1591 1541 35.50% 26.50% 38.00%-0.05 -33.0 6
2019-04-24 Hacken W 1-059.3 1673 1697 41.56% 26.46% 31.99%+0.20 +18.7 8
2019-04-24 @ AIK Stockholm L 0-159.3 1697 1673 31.99% 26.46% 41.56%-0.20 -18.7 7
2019-04-24 Hammarby W 4-155.0 1685 1618 52.81% 25.85% 21.34%+0.75 +31.3 10
2019-04-24 @ Malmo L 1-455.0 1618 1685 21.34% 25.85% 52.81%-0.75 -31.3 5
2019-04-24 Orebro W 4-255.0 1528 1489 49.62% 26.11% 24.27%+0.58 +22.0 8
2019-04-24 @ Elfsborg L 2-455.0 1489 1528 24.27% 26.11% 49.62%-0.58 -22.0 4
2019-04-24 Ostersund L 0-155.6 1524 1589 35.77% 26.51% 37.72%-0.04 -20.3 4
2019-04-24 @ AFC Eskilstuna W 1-055.6 1589 1524 37.72% 26.51% 35.77%+0.04 +20.3 8
2019-04-24 Sirius D 0-058.8 1475 1544 35.38% 26.50% 38.12%-0.06 +0.3 4
2019-04-24 @ Falkenbergs D 0-058.8 1544 1475 38.12% 26.50% 35.38%+0.06 -0.3 7
2019-04-25 GIF Sundsvall D 1-166.5 1558 1546 46.28% 26.30% 27.42%+0.42 -2.1 7
2019-04-25 @ Helsingborg D 1-166.5 1546 1558 27.42% 26.30% 46.28%-0.42 +2.1 5
2019-04-25 Goteborg D 1-166.1 1519 1574 37.28% 26.51% 36.21%+0.02 -0.1 6
2019-04-25 @ Kalmar D 1-166.1 1574 1519 36.21% 26.51% 37.28%-0.02 +0.1 7
2019-04-25 Norrkoping D 1-171.2 1690 1632 51.86% 25.93% 22.20%+0.70 -3.5 11
2019-04-25 @ Djurgarden D 1-171.2 1632 1690 22.20% 25.93% 51.86%-0.70 +3.5 6
2019-04-27 Elfsborg L 2-463.7 1543 1550 43.90% 26.39% 29.70%+0.31 -34.8 7
2019-04-27 @ Sirius W 4-263.7 1550 1543 29.70% 26.39% 43.90%-0.31 +34.8 11
2019-04-28 AFC Eskilstuna W 3-044.7 1679 1504 62.96% 24.31% 12.72%+1.40 +23.5 10
2019-04-28 @ Hacken L 0-344.7 1504 1679 12.72% 24.31% 62.96%-1.40 -23.5 4
2019-04-28 Djurgarden W 2-166.9 1587 1687 31.06% 26.44% 42.51%-0.25 +21.9 8
2019-04-28 @ Hammarby L 1-266.9 1687 1587 42.51% 26.44% 31.06%+0.25 -21.9 11
2019-04-28 Malmo D 1-171.4 1635 1717 33.57% 26.49% 39.94%-0.14 +0.7 7
2019-04-28 @ Norrkoping D 1-171.4 1717 1635 39.94% 26.49% 33.57%+0.14 -0.7 11
2019-04-29 AIK Stockholm W 3-056.6 1574 1692 28.78% 26.36% 44.86%-0.35 +66.3 10
2019-04-29 @ Goteborg L 0-356.6 1692 1574 44.86% 26.36% 28.78%+0.35 -66.3 8
2019-04-29 Falkenbergs W 3-150.3 1548 1476 53.44% 25.79% 20.77%+0.78 +21.7 8
2019-04-29 @ GIF Sundsvall L 1-350.3 1476 1548 20.77% 25.79% 53.44%-0.78 -21.7 4
2019-04-29 Helsingborg W 3-047.7 1610 1556 51.38% 25.98% 22.65%+0.67 +39.0 11
2019-04-29 @ Ostersund L 0-347.7 1556 1610 22.65% 25.98% 51.38%-0.67 -39.0 7
2019-04-29 Kalmar D 1-162.2 1467 1519 37.63% 26.51% 35.87%+0.04 -0.2 5
2019-04-29 @ Orebro D 1-162.2 1519 1467 35.87% 26.51% 37.63%-0.04 +0.2 7
2019-05-04 AFC Eskilstuna W 2-154.1 1625 1480 60.50% 24.81% 14.69%+1.22 +9.2 11
2019-05-04 @ AIK Stockholm L 1-254.1 1480 1625 14.69% 24.81% 60.50%-1.22 -9.2 4
2019-05-04 Goteborg L 2-460.3 1508 1641 26.98% 26.28% 46.74%-0.44 -24.0 7
2019-05-04 @ Sirius W 4-260.3 1641 1508 46.74% 26.28% 26.98%+0.44 +24.0 13
2019-05-05 GIF Sundsvall W 1-052.8 1702 1570 59.34% 25.02% 15.64%+1.14 +10.4 13
2019-05-05 @ Hacken L 0-152.8 1570 1702 15.64% 25.02% 59.34%-1.14 -10.4 8
2019-05-05 Hammarby L 2-361.9 1467 1609 25.81% 26.21% 47.98%-0.50 -14.2 5
2019-05-05 @ Orebro W 3-261.9 1609 1467 47.98% 26.21% 25.81%+0.50 +14.2 11
2019-05-05 Malmo L 1-256.0 1454 1716 14.72% 24.82% 60.46%-1.22 -9.3 4
2019-05-05 @ Falkenbergs W 2-156.0 1716 1454 60.46% 24.82% 14.72%+1.22 +9.3 14
2019-05-05 Ostersund D 1-168.4 1520 1649 27.34% 26.30% 46.36%-0.42 +2.2 8
2019-05-05 @ Kalmar D 1-168.4 1649 1520 46.36% 26.30% 27.34%+0.42 -2.2 12
2019-05-06 Djurgarden D 1-168.7 1517 1665 25.11% 26.17% 48.72%-0.54 +2.7 8
2019-05-06 @ Helsingborg D 1-168.7 1665 1517 48.72% 26.17% 25.11%+0.54 -2.7 12
2019-05-06 Norrkoping D 0-064.9 1585 1636 37.74% 26.51% 35.76%+0.04 -0.2 12
2019-05-06 @ Elfsborg D 0-064.9 1636 1585 35.76% 26.51% 37.74%-0.04 +0.2 8
2019-05-10 Sirius W 2-045.5 1623 1484 59.93% 24.92% 15.16%+1.18 +19.0 14
2019-05-10 @ Hammarby L 0-245.5 1484 1623 15.16% 24.92% 59.93%-1.18 -19.0 7
2019-05-11 Falkenbergs D 0-055.2 1471 1445 48.09% 26.20% 25.70%+0.51 -2.8 5
2019-05-11 @ AFC Eskilstuna D 0-055.2 1445 1471 25.70% 26.20% 48.09%-0.51 +2.8 5
2019-05-11 Hacken D 1-171.4 1647 1712 35.68% 26.51% 37.82%-0.04 +0.2 13
2019-05-11 @ Ostersund D 1-171.4 1712 1647 37.82% 26.51% 35.68%+0.04 -0.2 14
2019-05-11 Helsingborg W 1-050.9 1522 1519 45.08% 26.35% 28.57%+0.36 +17.1 11
2019-05-11 @ Kalmar L 0-150.9 1519 1522 28.57% 26.35% 45.08%-0.36 -17.1 8
2019-05-11 Orebro L 1-263.6 1560 1453 56.97% 25.37% 17.65%+0.99 -28.2 8
2019-05-11 @ GIF Sundsvall W 2-163.6 1453 1560 17.65% 25.37% 56.97%-0.99 +28.2 8
2019-05-12 AIK Stockholm L 0-260.1 1662 1635 48.26% 26.19% 25.54%+0.51 -48.6 12
2019-05-12 @ Djurgarden W 2-060.1 1635 1662 25.54% 26.19% 48.26%-0.51 +48.6 14
2019-05-12 Elfsborg W 4-152.9 1725 1584 60.10% 24.89% 15.01%+1.19 +23.1 17
2019-05-12 @ Malmo L 1-452.9 1584 1725 15.01% 24.89% 60.10%-1.19 -23.1 12
2019-05-13 Goteborg L 1-266.8 1636 1665 41.02% 26.47% 32.51%+0.18 -21.2 8
2019-05-13 @ Norrkoping W 2-166.8 1665 1636 32.51% 26.47% 41.02%-0.18 +21.2 16
2019-05-14 Ostersund W 4-051.8 1642 1647 44.18% 26.38% 29.44%+0.32 +62.8 17
2019-05-14 @ Hammarby L 0-451.8 1647 1642 29.44% 26.38% 44.18%-0.32 -62.8 13
2019-05-15 AFC Eskilstuna W 1-047.3 1561 1468 55.60% 25.55% 18.85%+0.91 +12.2 15
2019-05-15 @ Elfsborg L 0-147.3 1468 1561 18.85% 25.55% 55.60%-0.91 -12.2 5
2019-05-15 AIK Stockholm L 1-355.7 1502 1683 21.61% 25.88% 52.51%-0.73 -22.4 8
2019-05-15 @ Helsingborg W 3-155.7 1683 1502 52.51% 25.88% 21.61%+0.73 +22.4 17
2019-05-15 Djurgarden L 0-344.7 1448 1614 23.17% 26.02% 50.81%-0.64 -39.7 5
2019-05-15 @ Falkenbergs W 3-044.7 1614 1448 50.81% 26.02% 23.17%+0.64 +39.7 15
2019-05-15 GIF Sundsvall W 1-052.1 1465 1531 35.67% 26.51% 37.82%-0.04 +21.2 10
2019-05-15 @ Sirius L 0-152.1 1531 1465 37.82% 26.51% 35.67%+0.04 -21.2 8
2019-05-15 Kalmar W 1-051.4 1712 1539 62.85% 24.34% 12.81%+1.39 +8.6 17
2019-05-15 @ Hacken L 0-151.4 1539 1712 12.81% 24.34% 62.85%-1.39 -8.6 11
2019-05-16 Malmo D 0-067.4 1686 1748 36.19% 26.51% 37.31%-0.02 +0.1 17
2019-05-16 @ Goteborg D 0-067.4 1748 1686 37.31% 26.51% 36.19%+0.02 -0.1 18
2019-05-16 Norrkoping L 1-257.8 1481 1615 26.73% 26.26% 47.01%-0.45 -15.3 8
2019-05-16 @ Orebro W 2-157.8 1615 1481 47.01% 26.26% 26.73%+0.45 +15.3 11
2019-05-18 Helsingborg D 1-160.4 1456 1480 41.59% 26.46% 31.95%+0.21 -1.1 6
2019-05-18 @ AFC Eskilstuna D 1-160.4 1480 1456 31.95% 26.46% 41.59%-0.21 +1.1 9
2019-05-19 Elfsborg W 2-050.3 1653 1574 54.22% 25.71% 20.07%+0.83 +24.3 18
2019-05-19 @ Djurgarden L 0-250.3 1574 1653 20.07% 25.71% 54.22%-0.83 -24.3 15
2019-05-19 Hacken L 3-465.3 1487 1721 16.79% 25.23% 57.98%-1.05 -9.7 10
2019-05-19 @ Sirius W 4-365.3 1721 1487 57.98% 25.23% 16.79%+1.05 +9.6 20
2019-05-19 Kalmar W 1-050.9 1748 1530 66.18% 23.50% 10.32%+1.65 +7.0 21
2019-05-19 @ Malmo L 0-150.9 1530 1748 10.32% 23.50% 66.18%-1.65 -7.0 11
2019-05-20 Falkenbergs W 2-042.3 1706 1408 71.24% 21.76% 7.01%+2.13 +8.9 20
2019-05-20 @ AIK Stockholm L 0-242.3 1408 1706 7.01% 21.76% 71.24%-2.13 -8.9 5
2019-05-20 GIF Sundsvall W 2-047.0 1631 1510 58.25% 25.19% 16.56%+1.07 +20.6 14
2019-05-20 @ Norrkoping L 0-247.0 1510 1631 16.56% 25.19% 58.25%-1.07 -20.6 8
2019-05-20 Hammarby D 0-067.1 1686 1705 42.27% 26.44% 31.29%+0.24 -1.4 18
2019-05-20 @ Goteborg D 0-067.1 1705 1686 31.29% 26.44% 42.27%-0.24 +1.3 18
2019-05-20 Orebro L 1-362.2 1584 1466 58.08% 25.22% 16.70%+1.06 -49.7 13
2019-05-20 @ Ostersund W 3-162.2 1466 1584 16.70% 25.22% 58.08%-1.06 +49.7 11
2019-05-24 AIK Stockholm D 1-169.5 1490 1715 17.56% 25.36% 57.08%-1.00 +4.8 9
2019-05-24 @ GIF Sundsvall D 1-169.5 1715 1490 57.08% 25.36% 17.56%+1.00 -4.8 21
2019-05-25 AFC Eskilstuna W 5-042.8 1755 1455 71.38% 21.70% 6.93%+2.15 +20.6 24
2019-05-25 @ Malmo L 0-542.8 1455 1755 6.93% 21.70% 71.38%-2.15 -20.6 6
2019-05-25 Falkenbergs D 1-158.7 1481 1399 54.43% 25.68% 19.88%+0.84 -4.1 10
2019-05-25 @ Helsingborg D 1-158.7 1399 1481 19.88% 25.68% 54.43%-0.84 +4.1 6
2019-05-25 Goteborg L 1-270.6 1731 1685 50.46% 26.05% 23.50%+0.62 -25.2 20
2019-05-25 @ Hacken W 2-170.6 1685 1731 23.50% 26.05% 50.46%-0.62 +25.2 21
2019-05-26 Elfsborg D 1-165.4 1523 1549 41.30% 26.46% 32.24%+0.19 -1.0 12
2019-05-26 @ Kalmar D 1-165.4 1549 1523 32.24% 26.46% 41.30%-0.19 +1.0 16
2019-05-26 Ostersund W 3-153.9 1678 1534 60.35% 24.84% 14.81%+1.21 +16.1 21
2019-05-26 @ Djurgarden L 1-353.9 1534 1678 14.81% 24.84% 60.35%-1.21 -16.1 13
2019-05-27 Norrkoping D 2-277.3 1706 1651 51.51% 25.96% 22.52%+0.68 -2.5 19
2019-05-27 @ Hammarby D 2-277.3 1651 1706 22.52% 25.96% 51.51%-0.68 +2.5 15
2019-05-27 Sirius L 0-252.1 1515 1477 49.56% 26.11% 24.33%+0.58 -49.7 11
2019-05-27 @ Orebro W 2-052.1 1477 1515 24.33% 26.11% 49.56%-0.58 +49.7 13
2019-05-28 GIF Sundsvall W 2-155.0 1776 1494 70.28% 22.13% 7.59%+2.03 +4.8 27
2019-05-28 @ Malmo L 1-255.0 1494 1776 7.59% 22.13% 70.28%-2.03 -4.9 9
2019-06-01 Djurgarden L 0-251.2 1527 1694 23.04% 26.01% 50.96%-0.65 -27.2 13
2019-06-01 @ Sirius W 2-051.2 1694 1527 50.96% 26.01% 23.04%+0.65 +27.2 24
2019-06-01 GIF Sundsvall D 1-163.1 1518 1490 48.39% 26.19% 25.43%+0.52 -2.6 14
2019-06-01 @ Ostersund D 1-163.1 1490 1518 25.43% 26.19% 48.39%-0.52 +2.6 10
2019-06-01 Kalmar D 0-055.4 1403 1522 28.59% 26.35% 45.06%-0.36 +2.1 7
2019-06-01 @ Falkenbergs D 0-055.4 1522 1403 45.06% 26.35% 28.59%+0.36 -2.1 13
2019-06-01 Orebro L 0-166.0 1710 1466 67.97% 22.95% 9.08%+1.81 -35.3 21
2019-06-01 @ Goteborg W 1-066.0 1466 1710 9.08% 22.95% 67.97%-1.81 +35.3 14
2019-06-02 Hacken D 0-065.7 1550 1705 24.35% 26.11% 49.54%-0.58 +3.2 17
2019-06-02 @ Elfsborg D 0-065.7 1705 1550 49.54% 26.11% 24.35%+0.58 -3.2 21
2019-06-02 Hammarby W 2-055.1 1710 1704 45.57% 26.33% 28.10%+0.39 +31.9 24
2019-06-02 @ AIK Stockholm L 0-255.1 1704 1710 28.10% 26.33% 45.57%-0.39 -31.9 19
2019-06-02 Malmo L 0-151.2 1477 1780 12.01% 24.10% 63.89%-1.47 -8.1 10
2019-06-02 @ Helsingborg W 1-051.2 1780 1477 63.89% 24.10% 12.01%+1.47 +8.1 30
2019-06-02 Norrkoping L 0-245.9 1434 1654 18.04% 25.43% 56.53%-0.96 -22.2 6
2019-06-02 @ AFC Eskilstuna W 2-045.9 1654 1434 56.53% 25.43% 18.04%+0.96 +22.2 18
2019-06-25 Norrkoping L 0-262.4 1742 1676 52.72% 25.86% 21.43%+0.74 -52.5 24
2019-06-25 @ AIK Stockholm W 2-062.4 1676 1742 21.43% 25.86% 52.72%-0.74 +52.5 21
2019-06-28 Helsingborg L 0-154.3 1501 1469 48.82% 26.16% 25.02%+0.54 -26.0 14
2019-06-28 @ Orebro W 1-054.3 1469 1501 25.02% 26.16% 48.82%-0.54 +26.0 13
2019-06-29 AFC Eskilstuna D 0-054.9 1492 1412 54.24% 25.71% 20.05%+0.83 -4.5 11
2019-06-29 @ GIF Sundsvall D 0-054.9 1412 1492 20.05% 25.71% 54.24%-0.83 +4.5 7
2019-06-29 Elfsborg W 2-159.4 1405 1553 25.11% 26.17% 48.72%-0.54 +24.5 10
2019-06-29 @ Falkenbergs L 1-259.4 1553 1405 48.72% 26.17% 25.11%+0.54 -24.5 17
2019-06-29 Goteborg D 0-064.4 1516 1675 23.91% 26.08% 50.01%-0.60 +3.4 15
2019-06-29 @ Ostersund D 0-064.4 1675 1516 50.01% 26.08% 23.91%+0.60 -3.4 22
2019-06-30 Malmo D 0-067.6 1689 1789 31.10% 26.44% 42.47%-0.24 +1.4 25
2019-06-30 @ AIK Stockholm D 0-067.6 1789 1689 42.47% 26.44% 31.10%+0.24 -1.4 31
2019-06-30 Sirius L 0-166.9 1728 1499 66.94% 23.27% 9.78%+1.72 -34.8 21
2019-06-30 @ Norrkoping W 1-066.9 1499 1728 9.78% 23.27% 66.94%-1.72 +34.8 16
2019-07-01 Hammarby W 2-053.9 1702 1672 48.59% 26.18% 25.24%+0.53 +29.3 24
2019-07-01 @ Hacken L 0-253.9 1672 1702 25.24% 26.18% 48.59%-0.53 -29.3 19
2019-07-01 Kalmar W 2-047.4 1721 1520 64.97% 23.83% 11.20%+1.55 +14.3 27
2019-07-01 @ Djurgarden L 0-247.4 1520 1721 11.20% 23.83% 64.97%-1.55 -14.3 13
2019-07-06 AIK Stockholm L 0-153.3 1506 1691 21.22% 25.84% 52.94%-0.76 -13.5 13
2019-07-06 @ Kalmar W 1-053.3 1691 1506 52.94% 25.84% 21.22%+0.76 +13.5 28
2019-07-06 GIF Sundsvall W 2-154.7 1671 1488 63.65% 24.16% 12.20%+1.45 +7.8 25
2019-07-06 @ Goteborg L 1-254.7 1488 1671 12.20% 24.16% 63.65%-1.45 -7.8 11
2019-07-06 Orebro W 2-154.4 1787 1475 72.06% 21.41% 6.53%+2.22 +4.1 34
2019-07-06 @ Malmo L 1-254.4 1475 1787 6.53% 21.41% 72.06%-2.22 -4.1 14
2019-07-06 Ostersund D 1-164.7 1534 1519 46.75% 26.28% 26.97%+0.44 -2.2 17
2019-07-06 @ Sirius D 1-164.7 1519 1534 26.97% 26.28% 46.75%-0.44 +2.2 16
2019-07-07 Falkenbergs W 6-245.6 1643 1430 65.82% 23.60% 10.58%+1.62 +18.2 22
2019-07-07 @ Hammarby L 2-645.6 1430 1643 10.58% 23.60% 65.82%-1.62 -18.2 10
2019-07-07 Hacken W 2-165.8 1694 1731 39.67% 26.49% 33.84%+0.12 +18.4 24
2019-07-07 @ Norrkoping L 1-265.8 1731 1694 33.84% 26.49% 39.67%-0.12 -18.4 24
2019-07-08 Djurgarden D 1-168.7 1417 1735 11.16% 23.81% 65.03%-1.56 +6.8 8
2019-07-08 @ AFC Eskilstuna D 1-168.7 1735 1417 65.03% 23.81% 11.16%+1.56 -6.8 28
2019-07-08 Helsingborg D 1-163.7 1529 1495 49.07% 26.14% 24.78%+0.55 -2.8 18
2019-07-08 @ Elfsborg D 1-163.7 1495 1529 24.78% 26.14% 49.07%-0.55 +2.8 14
2019-07-13 Elfsborg W 3-045.7 1704 1526 63.21% 24.26% 12.53%+1.41 +23.2 31
2019-07-13 @ AIK Stockholm L 0-345.7 1526 1704 12.53% 24.26% 63.21%-1.41 -23.2 18
2019-07-13 Goteborg D 1-166.5 1412 1679 14.31% 24.73% 60.96%-1.25 +5.8 11
2019-07-13 @ Falkenbergs D 1-166.5 1679 1412 60.96% 24.73% 14.31%+1.25 -5.8 26
2019-07-13 Kalmar W 3-151.8 1423 1492 35.27% 26.50% 38.23%-0.06 +34.9 11
2019-07-13 @ AFC Eskilstuna L 1-351.8 1492 1423 38.23% 26.50% 35.27%+0.06 -34.9 13
2019-07-14 Malmo D 1-172.3 1729 1791 36.14% 26.51% 37.36%-0.03 +0.1 29
2019-07-14 @ Djurgarden D 1-172.3 1791 1729 37.36% 26.51% 36.14%+0.03 -0.1 35
2019-07-14 Norrkoping W 2-169.3 1521 1712 20.64% 25.77% 53.58%-0.79 +26.6 19
2019-07-14 @ Ostersund L 1-269.3 1712 1521 53.58% 25.77% 20.64%+0.79 -26.6 24
2019-07-14 Orebro W 3-043.3 1713 1471 67.84% 22.99% 9.17%+1.80 +17.1 27
2019-07-14 @ Hacken L 0-343.3 1471 1713 9.17% 22.99% 67.84%-1.80 -17.1 14
2019-07-15 Hammarby L 2-362.6 1480 1661 21.63% 25.88% 52.49%-0.73 -12.3 11
2019-07-15 @ GIF Sundsvall W 3-262.6 1661 1480 52.49% 25.88% 21.63%+0.73 +12.3 25
2019-07-15 Sirius W 1-052.0 1498 1532 40.14% 26.48% 33.38%+0.14 +19.3 17
2019-07-15 @ Helsingborg L 0-152.0 1532 1498 33.38% 26.48% 40.14%-0.14 -19.3 17
2019-07-20 Falkenbergs W 4-037.9 1454 1417 49.32% 26.13% 24.55%+0.57 +54.4 17
2019-07-20 @ Orebro L 0-437.9 1417 1454 24.55% 26.13% 49.32%-0.57 -54.4 11
2019-07-20 Hacken L 0-151.1 1468 1730 14.66% 24.81% 60.53%-1.22 -9.8 11
2019-07-20 @ GIF Sundsvall W 1-051.1 1730 1468 60.53% 24.81% 14.66%+1.22 +9.8 30
2019-07-20 Helsingborg W 2-047.2 1727 1517 65.66% 23.65% 10.70%+1.61 +13.7 34
2019-07-20 @ AIK Stockholm L 0-247.2 1517 1727 10.70% 23.65% 65.66%-1.61 -13.7 17
2019-07-21 AFC Eskilstuna W 1-047.7 1673 1458 65.97% 23.56% 10.47%+1.64 +7.1 29
2019-07-21 @ Goteborg L 0-147.7 1458 1673 10.47% 23.56% 65.97%-1.64 -7.1 11
2019-07-21 Ostersund W 3-046.7 1685 1548 59.82% 24.93% 15.24%+1.17 +27.8 27
2019-07-21 @ Norrkoping L 0-346.7 1548 1685 15.24% 24.93% 59.82%-1.17 -27.8 19
2019-07-21 Sirius D 1-172.1 1791 1513 70.11% 22.20% 7.69%+2.02 -8.0 36
2019-07-21 @ Malmo D 1-172.1 1513 1791 7.69% 22.20% 70.11%-2.02 +8.0 18
2019-07-22 Djurgarden L 0-150.6 1457 1729 14.04% 24.66% 61.30%-1.27 -9.4 13
2019-07-22 @ Kalmar W 1-050.6 1729 1457 61.30% 24.66% 14.04%+1.27 +9.4 32
2019-07-22 Elfsborg W 5-252.3 1673 1503 62.57% 24.40% 13.03%+1.37 +17.5 28
2019-07-22 @ Hammarby L 2-552.3 1503 1673 13.03% 24.40% 62.57%-1.37 -17.6 18
2019-07-27 AIK Stockholm L 0-250.2 1521 1741 17.95% 25.42% 56.63%-0.97 -22.1 18
2019-07-27 @ Sirius W 2-050.2 1741 1521 56.63% 25.42% 17.95%+0.97 +22.1 37
2019-07-27 GIF Sundsvall W 2-044.3 1363 1458 31.69% 26.45% 41.86%-0.22 +43.2 14
2019-07-27 @ Falkenbergs L 0-244.3 1458 1363 41.86% 26.45% 31.69%+0.22 -43.2 11
2019-07-27 Hammarby L 1-647.6 1451 1691 16.39% 25.16% 58.45%-1.08 -39.5 11
2019-07-27 @ AFC Eskilstuna W 6-147.6 1691 1451 58.45% 25.16% 16.39%+1.08 +39.5 31
2019-07-28 Hacken W 2-055.8 1738 1740 44.57% 26.37% 29.06%+0.34 +32.8 35
2019-07-28 @ Djurgarden L 0-255.8 1740 1738 29.06% 26.37% 44.57%-0.34 -32.8 30
2019-07-28 Malmo D 0-066.8 1520 1783 14.61% 24.80% 60.60%-1.22 +6.3 20
2019-07-28 @ Ostersund D 0-066.8 1783 1520 60.60% 24.80% 14.61%+1.22 -6.3 37
2019-07-28 Norrkoping D 0-067.1 1680 1713 40.39% 26.48% 33.13%+0.15 -0.9 30
2019-07-28 @ Goteborg D 0-067.1 1713 1680 33.13% 26.48% 40.39%-0.15 +0.9 28
2019-07-29 Kalmar W 2-151.2 1485 1448 49.46% 26.12% 24.42%+0.57 +14.3 21
2019-07-29 @ Elfsborg L 1-251.2 1448 1485 24.42% 26.12% 49.46%-0.57 -14.3 13
2019-07-29 Orebro L 1-454.3 1503 1508 44.14% 26.39% 29.47%+0.32 -55.2 17
2019-07-29 @ Helsingborg W 4-154.3 1508 1503 29.47% 26.39% 44.14%-0.32 +55.2 20
2019-08-03 AFC Eskilstuna L 1-261.1 1526 1412 57.72% 25.27% 17.01%+1.04 -28.5 20
2019-08-03 @ Ostersund W 2-161.1 1412 1526 17.01% 25.27% 57.72%-1.04 +28.5 14
2019-08-03 Helsingborg D 1-157.7 1406 1448 39.11% 26.50% 34.40%+0.10 -0.5 15
2019-08-03 @ Falkenbergs D 1-157.7 1448 1406 34.40% 26.50% 39.11%-0.10 +0.5 18
2019-08-04 Hammarby D 2-274.6 1434 1730 12.44% 24.23% 63.33%-1.42 +4.7 14
2019-08-04 @ Kalmar D 2-274.6 1730 1434 63.33% 24.23% 12.44%+1.42 -4.7 32
2019-08-04 Sirius W 4-149.5 1707 1499 65.51% 23.68% 10.80%+1.60 +17.0 33
2019-08-04 @ Hacken L 1-449.5 1499 1707 10.80% 23.68% 65.51%-1.60 -17.0 18
2019-08-05 Djurgarden L 0-152.2 1500 1771 14.05% 24.67% 61.28%-1.27 -9.4 21
2019-08-05 @ Elfsborg W 1-052.2 1771 1500 61.28% 24.67% 14.05%+1.27 +9.4 38
2019-08-05 Goteborg D 2-275.7 1563 1679 28.94% 26.37% 44.69%-0.35 +1.3 21
2019-08-05 @ Orebro D 2-275.7 1679 1563 44.69% 26.37% 28.94%+0.35 -1.3 31
2019-08-10 Ostersund D 1-159.6 1415 1498 33.28% 26.48% 40.24%-0.15 +0.8 12
2019-08-10 @ GIF Sundsvall D 1-159.6 1498 1415 40.24% 26.48% 33.28%+0.15 -0.8 21
2019-08-10 Sirius W 4-043.3 1780 1482 71.29% 21.73% 6.97%+2.14 +16.8 41
2019-08-10 @ Djurgarden L 0-443.3 1482 1780 6.97% 21.73% 71.29%-2.14 -16.8 18
2019-08-11 AIK Stockholm L 2-456.1 1440 1763 10.94% 23.73% 65.33%-1.58 -10.8 14
2019-08-11 @ AFC Eskilstuna W 4-256.1 1763 1440 65.33% 23.73% 10.94%+1.58 +10.9 40
2019-08-11 Elfsborg W 2-046.1 1714 1490 66.58% 23.38% 10.04%+1.69 +12.9 31
2019-08-11 @ Norrkoping L 0-246.1 1490 1714 10.04% 23.38% 66.58%-1.69 -12.9 21
2019-08-11 Helsingborg W 2-153.2 1725 1448 70.01% 22.23% 7.75%+2.01 +5.0 35
2019-08-11 @ Hammarby L 1-253.2 1448 1725 7.75% 22.23% 70.01%-2.01 -5.0 18
2019-08-11 Malmo D 1-172.3 1724 1777 37.56% 26.51% 35.94%+0.03 -0.2 34
2019-08-11 @ Hacken D 1-172.3 1777 1724 35.94% 26.51% 37.56%-0.03 +0.2 38
2019-08-12 Falkenbergs D 1-167.0 1678 1406 69.75% 22.33% 7.91%+1.98 -7.9 32
2019-08-12 @ Goteborg D 1-167.0 1406 1678 7.91% 22.33% 69.75%-1.98 +7.9 16
2019-08-12 Orebro D 1-162.9 1438 1565 27.72% 26.31% 45.97%-0.40 +2.1 15
2019-08-12 @ Kalmar D 1-162.9 1565 1438 45.97% 26.31% 27.72%+0.40 -2.1 22
2019-08-17 GIF Sundsvall W 3-040.9 1730 1415 72.20% 21.35% 6.45%+2.23 +11.9 38
2019-08-17 @ Hammarby L 0-340.9 1415 1730 6.45% 21.35% 72.20%-2.23 -11.9 12
2019-08-18 Falkenbergs W 5-041.3 1777 1413 74.75% 20.15% 5.10%+2.52 +14.8 41
2019-08-18 @ Malmo L 0-541.3 1413 1777 5.10% 20.15% 74.75%-2.52 -14.8 16
2019-08-18 Hacken L 1-261.3 1562 1724 23.66% 26.06% 50.28%-0.62 -13.9 22
2019-08-18 @ Orebro W 2-161.3 1724 1562 50.28% 26.06% 23.66%+0.62 +13.9 37
2019-08-18 Kalmar L 1-273.4 1774 1441 73.20% 20.90% 5.90%+2.34 -35.4 40
2019-08-18 @ AIK Stockholm W 2-173.4 1441 1774 5.90% 20.90% 73.20%-2.34 +35.4 18
2019-08-18 Norrkoping L 0-247.7 1465 1727 14.70% 24.82% 60.49%-1.22 -18.5 18
2019-08-18 @ Sirius W 2-047.7 1727 1465 60.49% 24.82% 14.70%+1.22 +18.5 34
2019-08-19 AFC Eskilstuna W 3-042.1 1797 1429 74.96% 20.05% 4.99%+2.55 +9.0 44
2019-08-19 @ Djurgarden L 0-342.1 1429 1797 4.99% 20.05% 74.96%-2.55 -9.0 14
2019-08-19 Goteborg L 1-255.3 1444 1670 17.41% 25.34% 57.25%-1.01 -10.8 18
2019-08-19 @ Helsingborg W 2-155.3 1670 1444 57.25% 25.34% 17.41%+1.01 +10.8 35
2019-08-19 Ostersund W 4-149.1 1477 1497 42.18% 26.44% 31.37%+0.23 +42.5 24
2019-08-19 @ Elfsborg L 1-449.1 1497 1477 31.37% 26.44% 42.18%-0.23 -42.5 21
2019-08-24 Orebro L 3-463.1 1446 1549 30.73% 26.43% 42.85%-0.26 -15.8 18
2019-08-24 @ Sirius W 4-363.1 1549 1446 42.85% 26.43% 30.73%+0.26 +15.8 25
2019-08-25 AIK Stockholm L 1-352.9 1455 1739 13.20% 24.45% 62.35%-1.35 -14.5 21
2019-08-25 @ Ostersund W 3-152.9 1739 1455 62.35% 24.45% 13.20%+1.35 +14.5 43
2019-08-25 Djurgarden L 0-163.5 1792 1806 42.89% 26.42% 30.68%+0.26 -23.3 41
2019-08-25 @ Malmo W 1-063.5 1806 1792 30.68% 26.42% 42.89%-0.26 +23.3 47
2019-08-25 Hacken L 0-245.5 1420 1738 11.23% 23.84% 64.93%-1.55 -14.4 14
2019-08-25 @ AFC Eskilstuna W 2-045.5 1738 1420 64.93% 23.84% 11.23%+1.55 +14.4 40
2019-08-25 Helsingborg W 5-041.8 1745 1433 72.07% 21.40% 6.52%+2.22 +19.3 37
2019-08-25 @ Norrkoping L 0-541.8 1433 1745 6.52% 21.40% 72.07%-2.22 -19.3 18
2019-08-26 Elfsborg L 1-252.2 1404 1520 28.91% 26.36% 44.73%-0.35 -16.3 12
2019-08-26 @ GIF Sundsvall W 2-152.2 1520 1404 44.73% 26.36% 28.91%+0.35 +16.3 27
2019-08-26 Hammarby L 0-244.5 1399 1742 9.90% 23.32% 66.78%-1.70 -12.7 16
2019-08-26 @ Falkenbergs W 2-044.5 1742 1399 66.78% 23.32% 9.90%+1.70 +12.7 41
2019-08-26 Kalmar W 4-042.9 1681 1476 65.26% 23.75% 10.98%+1.58 +26.7 38
2019-08-26 @ Goteborg L 0-442.9 1476 1681 10.98% 23.75% 65.26%-1.58 -26.7 18
2019-08-30 Ostersund W 2-042.3 1413 1440 41.23% 26.46% 32.30%+0.19 +35.5 21
2019-08-30 @ Helsingborg L 0-242.3 1440 1413 32.30% 26.46% 41.23%-0.19 -35.5 21
2019-08-31 AFC Eskilstuna W 3-145.8 1564 1406 61.62% 24.60% 13.78%+1.30 +15.1 28
2019-08-31 @ Orebro L 1-345.8 1406 1564 13.78% 24.60% 61.62%-1.30 -15.1 14
2019-08-31 Sirius D 1-161.8 1536 1431 56.86% 25.39% 17.75%+0.98 -4.7 28
2019-08-31 @ Elfsborg D 1-161.8 1431 1536 17.75% 25.39% 56.86%-0.98 +4.7 19
2019-09-01 Djurgarden W 1-062.4 1753 1830 34.20% 26.49% 39.30%-0.11 +21.8 46
2019-09-01 @ AIK Stockholm L 0-162.4 1830 1753 39.30% 26.49% 34.20%+0.11 -21.8 47
2019-09-01 Falkenbergs W 4-145.0 1752 1386 74.88% 20.09% 5.03%+2.54 +7.6 43
2019-09-01 @ Hacken L 1-445.0 1386 1752 5.03% 20.09% 74.88%-2.54 -7.6 16
2019-09-01 Goteborg L 0-243.5 1387 1708 11.07% 23.78% 65.15%-1.57 -14.2 12
2019-09-01 @ GIF Sundsvall W 2-043.5 1708 1387 65.15% 23.78% 11.07%+1.57 +14.2 41
2019-09-01 Hammarby W 2-055.5 1765 1755 46.05% 26.31% 27.64%+0.41 +31.5 40
2019-09-01 @ Norrkoping L 0-255.5 1755 1765 27.64% 26.31% 46.05%-0.41 -31.5 41
2019-09-01 Malmo L 0-544.8 1449 1768 11.13% 23.80% 65.07%-1.56 -33.3 18
2019-09-01 @ Kalmar W 5-044.8 1768 1449 65.07% 23.80% 11.13%+1.56 +33.3 44
2019-09-13 Falkenbergs W 2-038.1 1435 1378 51.71% 25.95% 22.34%+0.69 +26.6 22
2019-09-13 @ Sirius L 0-238.1 1378 1435 22.34% 25.95% 51.71%-0.69 -26.6 16
2019-09-14 GIF Sundsvall D 0-057.2 1580 1373 65.36% 23.73% 10.91%+1.58 -7.7 29
2019-09-14 @ Orebro D 0-057.2 1373 1580 10.91% 23.73% 65.36%-1.58 +7.7 13
2019-09-14 Kalmar L 1-253.5 1404 1416 43.28% 26.41% 30.30%+0.28 -22.2 21
2019-09-14 @ Ostersund W 2-153.5 1416 1404 30.30% 26.41% 43.28%-0.28 +22.2 21
2019-09-15 AIK Stockholm L 1-268.9 1760 1775 42.79% 26.43% 30.78%+0.26 -22.0 43
2019-09-15 @ Hacken W 2-168.9 1775 1760 30.78% 26.43% 42.79%-0.26 +22.0 49
2019-09-15 Goteborg W 6-258.5 1723 1722 44.98% 26.36% 28.67%+0.36 +43.5 44
2019-09-15 @ Hammarby L 2-658.5 1722 1723 28.67% 26.36% 44.98%-0.36 -43.5 41
2019-09-15 Norrkoping W 1-059.0 1802 1796 45.52% 26.33% 28.14%+0.38 +16.9 47
2019-09-15 @ Malmo L 0-159.0 1796 1802 28.14% 26.33% 45.52%-0.38 -16.9 40
2019-09-16 Elfsborg D 2-265.7 1391 1532 25.98% 26.22% 47.80%-0.49 +1.9 15
2019-09-16 @ AFC Eskilstuna D 2-265.7 1532 1391 47.80% 26.22% 25.98%+0.49 -1.9 29
2019-09-16 Helsingborg W 2-044.8 1808 1449 74.51% 20.27% 5.22%+2.50 +6.5 50
2019-09-16 @ Djurgarden L 0-244.8 1449 1808 5.22% 20.27% 74.51%-2.50 -6.5 21
2019-09-20 Djurgarden L 1-447.2 1381 1814 6.40% 21.31% 72.29%-2.24 -9.9 13
2019-09-20 @ GIF Sundsvall W 4-147.2 1814 1381 72.29% 21.31% 6.40%+2.24 +9.9 53
2019-09-21 Hacken D 1-169.2 1438 1738 12.23% 24.17% 63.60%-1.44 +6.4 22
2019-09-21 @ Kalmar D 1-169.2 1738 1438 63.60% 24.17% 12.23%+1.44 -6.4 44
2019-09-21 Orebro W 3-046.7 1779 1572 65.43% 23.71% 10.86%+1.59 +20.2 43
2019-09-21 @ Norrkoping L 0-346.7 1572 1779 10.86% 23.71% 65.43%-1.59 -20.2 29
2019-09-21 Ostersund W 1-043.1 1352 1382 40.69% 26.47% 32.84%+0.17 +19.1 19
2019-09-21 @ Falkenbergs L 0-143.1 1382 1352 32.84% 26.47% 40.69%-0.17 -19.1 21
2019-09-21 Sirius W 2-153.5 1678 1462 66.09% 23.53% 10.39%+1.65 +6.7 44
2019-09-21 @ Goteborg L 1-253.5 1462 1678 10.39% 23.53% 66.09%-1.65 -6.7 22
2019-09-22 AFC Eskilstuna W 2-147.7 1442 1393 50.88% 26.02% 23.10%+0.65 +13.7 24
2019-09-22 @ Helsingborg L 1-247.7 1393 1442 23.10% 26.02% 50.88%-0.65 -13.7 15
2019-09-22 AIK Stockholm W 2-165.9 1767 1797 40.75% 26.47% 32.78%+0.17 +18.0 47
2019-09-22 @ Hammarby L 1-265.9 1797 1767 32.78% 26.47% 40.75%-0.17 -17.9 49
2019-09-22 Malmo L 0-347.4 1530 1819 12.89% 24.36% 62.75%-1.38 -23.8 29
2019-09-22 @ Elfsborg W 3-047.4 1819 1530 62.75% 24.36% 12.89%+1.38 +23.8 50
2019-09-24 Falkenbergs W 1-045.5 1824 1371 78.84% 17.86% 3.30%+3.06 +2.1 56
2019-09-24 @ Djurgarden L 0-145.5 1371 1824 3.30% 17.86% 78.84%-3.06 -2.1 19
2019-09-24 GIF Sundsvall L 0-247.5 1445 1371 53.56% 25.78% 20.66%+0.79 -53.3 22
2019-09-24 @ Kalmar W 2-047.5 1371 1445 20.66% 25.78% 53.56%-0.79 +53.3 16
2019-09-25 Elfsborg L 1-272.6 1731 1506 66.71% 23.34% 9.95%+1.70 -32.7 44
2019-09-25 @ Hacken W 2-172.6 1506 1731 9.95% 23.34% 66.71%-1.70 +32.7 32
2019-09-25 Goteborg W 1-055.6 1779 1685 55.68% 25.54% 18.78%+0.91 +12.2 52
2019-09-25 @ AIK Stockholm L 0-155.6 1685 1779 18.78% 25.54% 55.68%-0.91 -12.2 44
2019-09-25 Hammarby L 1-352.8 1455 1785 10.58% 23.60% 65.81%-1.62 -11.8 22
2019-09-25 @ Sirius W 3-152.8 1785 1455 65.81% 23.60% 10.58%+1.62 +11.7 50
2019-09-25 Ostersund W 2-037.4 1552 1363 64.02% 24.07% 11.91%+1.48 +15.2 32
2019-09-25 @ Orebro L 0-237.4 1363 1552 11.91% 24.07% 64.02%-1.48 -15.2 21
2019-09-26 AFC Eskilstuna W 4-039.8 1799 1379 77.41% 18.71% 3.87%+2.86 +8.9 46
2019-09-26 @ Norrkoping L 0-439.8 1379 1799 3.87% 18.71% 77.41%-2.86 -8.9 15
2019-09-26 Helsingborg W 3-042.9 1843 1456 75.86% 19.58% 4.56%+2.66 +8.1 53
2019-09-26 @ Malmo L 0-342.9 1456 1843 4.56% 19.58% 75.86%-2.66 -8.1 24
2019-09-29 AIK Stockholm D 1-171.6 1539 1791 15.39% 24.96% 59.65%-1.16 +5.4 33
2019-09-29 @ Elfsborg D 1-171.6 1791 1539 59.65% 24.96% 15.39%+1.16 -5.4 53
2019-09-29 Hacken D 0-067.0 1673 1699 41.32% 26.46% 32.21%+0.19 -1.1 45
2019-09-29 @ Goteborg D 0-067.0 1699 1673 32.21% 26.46% 41.32%-0.19 +1.1 45
2019-09-29 Malmo L 0-147.3 1370 1851 5.10% 20.16% 74.75%-2.52 -3.4 15
2019-09-29 @ AFC Eskilstuna W 1-047.3 1851 1370 74.75% 20.16% 5.10%+2.52 +3.4 56
2019-09-29 Norrkoping L 0-243.7 1369 1808 6.21% 21.16% 72.62%-2.28 -7.8 19
2019-09-29 @ Falkenbergs W 2-043.7 1808 1369 72.62% 21.16% 6.21%+2.28 +7.8 49
2019-09-29 Sirius W 2-151.2 1424 1443 42.23% 26.44% 31.33%+0.23 +17.3 19
2019-09-29 @ GIF Sundsvall L 1-251.2 1443 1424 31.33% 26.44% 42.23%-0.23 -17.4 22
2019-09-30 Djurgarden L 1-251.8 1348 1826 5.15% 20.21% 74.63%-2.51 -3.2 21
2019-09-30 @ Ostersund W 2-151.8 1826 1348 74.63% 20.21% 5.15%+2.51 +3.2 59
2019-09-30 Kalmar W 2-038.8 1448 1391 51.69% 25.95% 22.36%+0.69 +26.6 27
2019-09-30 @ Helsingborg L 0-238.8 1391 1448 22.36% 25.95% 51.69%-0.69 -26.6 22
2019-09-30 Orebro W 5-149.7 1796 1567 67.00% 23.26% 9.75%+1.72 +19.8 53
2019-09-30 @ Hammarby L 1-549.7 1567 1796 9.75% 23.26% 67.00%-1.72 -19.8 32
2019-10-05 Helsingborg W 2-153.4 1426 1475 38.17% 26.50% 35.33%+0.06 +19.0 25
2019-10-05 @ Sirius L 1-253.4 1475 1426 35.33% 26.50% 38.17%-0.06 -19.0 27
2019-10-05 Norrkoping D 4-482.6 1441 1816 8.51% 22.66% 68.83%-1.89 +4.2 20
2019-10-05 @ GIF Sundsvall D 4-482.6 1816 1441 68.83% 22.66% 8.51%+1.89 -4.2 50
2019-10-05 Orebro W 2-047.9 1786 1547 67.60% 23.07% 9.33%+1.78 +12.0 56
2019-10-05 @ AIK Stockholm L 0-247.9 1547 1786 9.33% 23.07% 67.60%-1.78 -12.0 32
2019-10-06 AFC Eskilstuna D 0-050.5 1365 1367 44.49% 26.37% 29.14%+0.34 -1.9 23
2019-10-06 @ Kalmar D 0-050.5 1367 1365 29.14% 26.37% 44.49%-0.34 +1.9 16
2019-10-06 Falkenbergs W 4-034.6 1544 1361 63.62% 24.16% 12.22%+1.45 +29.6 36
2019-10-06 @ Elfsborg L 0-434.6 1361 1544 12.22% 24.16% 63.62%-1.45 -29.6 19
2019-10-06 Goteborg W 1-053.5 1854 1672 63.56% 24.18% 12.26%+1.44 +8.3 59
2019-10-06 @ Malmo L 0-153.5 1672 1854 12.26% 24.18% 63.56%-1.44 -8.3 45
2019-10-06 Hammarby L 1-270.1 1829 1816 46.47% 26.29% 27.24%+0.43 -23.5 59
2019-10-06 @ Djurgarden W 2-170.1 1816 1829 27.24% 26.29% 46.47%-0.43 +23.5 56
2019-10-06 Ostersund D 1-166.2 1700 1345 74.32% 20.37% 5.31%+2.47 -8.9 46
2019-10-06 @ Hacken D 1-166.2 1345 1700 5.31% 20.37% 74.32%-2.47 +8.9 22
2019-10-18 GIF Sundsvall W 1-046.7 1369 1446 34.15% 26.49% 39.36%-0.11 +21.8 19
2019-10-18 @ AFC Eskilstuna L 0-146.7 1446 1369 39.36% 26.49% 34.15%+0.11 -21.8 20
2019-10-19 Hacken L 0-247.2 1456 1691 16.70% 25.22% 58.08%-1.06 -20.7 27
2019-10-19 @ Helsingborg W 2-047.2 1691 1456 58.08% 25.22% 16.70%+1.06 +20.7 49
2019-10-19 Sirius W 2-043.6 1354 1445 32.17% 26.46% 41.37%-0.20 +42.8 25
2019-10-19 @ Ostersund L 0-243.6 1445 1354 41.37% 26.46% 32.17%+0.20 -42.8 25
2019-10-20 AIK Stockholm L 1-543.3 1331 1798 5.46% 20.51% 74.03%-2.44 -10.8 19
2019-10-20 @ Falkenbergs W 5-143.3 1798 1331 74.03% 20.51% 5.46%+2.44 +10.8 59
2019-10-20 Kalmar W 1-045.1 1812 1363 78.67% 17.96% 3.37%+3.04 +2.1 53
2019-10-20 @ Norrkoping L 0-145.1 1363 1812 3.37% 17.96% 78.67%-3.04 -2.1 23
2019-10-20 Malmo W 2-057.0 1840 1862 41.78% 26.45% 31.77%+0.21 +35.1 59
2019-10-20 @ Hammarby L 0-257.0 1862 1840 31.77% 26.45% 41.78%-0.21 -35.1 59
2019-10-21 Djurgarden L 0-157.9 1663 1806 25.77% 26.21% 48.02%-0.50 -15.8 45
2019-10-21 @ Goteborg W 1-057.9 1806 1663 48.02% 26.21% 25.77%+0.50 +15.8 62
2019-10-21 Elfsborg D 2-272.3 1535 1574 39.57% 26.49% 33.94%+0.12 -0.5 33
2019-10-21 @ Orebro D 2-272.3 1574 1535 33.94% 26.49% 39.57%-0.12 +0.5 37
2019-10-26 Falkenbergs L 2-357.9 1361 1321 49.76% 26.10% 24.14%+0.59 -23.7 23
2019-10-26 @ Kalmar W 3-257.9 1321 1361 24.14% 26.10% 49.76%-0.59 +23.7 22
2019-10-26 Helsingborg L 1-254.5 1424 1435 43.34% 26.41% 30.25%+0.28 -22.2 20
2019-10-26 @ GIF Sundsvall W 2-154.5 1435 1424 30.25% 26.41% 43.34%-0.28 +22.2 30
2019-10-27 Hammarby L 1-253.8 1396 1875 5.15% 20.21% 74.64%-2.51 -3.2 25
2019-10-27 @ Ostersund W 2-153.8 1875 1396 74.64% 20.21% 5.15%+2.51 +3.2 62
2019-10-27 Norrkoping L 0-159.7 1712 1814 30.71% 26.43% 42.86%-0.26 -18.1 49
2019-10-27 @ Hacken W 1-059.7 1814 1712 42.86% 26.43% 30.71%+0.26 +18.1 56
2019-10-27 Sirius D 0-051.6 1391 1402 43.26% 26.41% 30.33%+0.28 -1.6 20
2019-10-27 @ AFC Eskilstuna D 0-051.6 1402 1391 30.33% 26.41% 43.26%-0.28 +1.6 26
2019-10-28 AIK Stockholm W 2-055.3 1827 1808 47.19% 26.25% 26.56%+0.46 +30.5 62
2019-10-28 @ Malmo L 0-255.3 1808 1827 26.56% 26.25% 47.19%-0.46 -30.5 59
2019-10-28 Goteborg W 2-056.1 1574 1648 34.61% 26.50% 38.89%-0.09 +40.8 40
2019-10-28 @ Elfsborg L 0-256.1 1648 1574 38.89% 26.50% 34.61%+0.09 -40.8 45
2019-10-28 Orebro W 3-045.2 1822 1535 70.62% 22.00% 7.38%+2.07 +13.7 65
2019-10-28 @ Djurgarden L 0-345.2 1535 1822 7.38% 22.00% 70.62%-2.07 -13.7 33
2019-11-02 AFC Eskilstuna W 1-043.7 1344 1389 38.69% 26.50% 34.81%+0.08 +19.9 25
2019-11-02 @ Falkenbergs L 0-143.7 1389 1344 34.81% 26.50% 38.69%-0.08 -19.9 20
2019-11-02 Djurgarden D 2-278.3 1832 1835 44.37% 26.38% 29.26%+0.33 -1.3 57
2019-11-02 @ Norrkoping D 2-278.3 1835 1832 29.26% 26.38% 44.37%-0.33 +1.3 66
2019-11-02 Elfsborg L 1-256.1 1457 1615 24.04% 26.09% 49.87%-0.59 -14.1 30
2019-11-02 @ Helsingborg W 2-156.1 1615 1457 49.87% 26.09% 24.04%+0.59 +14.1 43
2019-11-02 GIF Sundsvall W 2-151.7 1778 1402 75.37% 19.84% 4.79%+2.60 +3.0 62
2019-11-02 @ AIK Stockholm L 1-251.7 1402 1778 4.79% 19.84% 75.37%-2.60 -3.0 20
2019-11-02 Hacken W 4-153.3 1878 1694 63.72% 24.14% 12.14%+1.45 +19.0 65
2019-11-02 @ Hammarby L 1-453.3 1694 1878 12.14% 24.14% 63.72%-1.45 -19.0 49
2019-11-02 Kalmar W 3-034.3 1404 1337 52.83% 25.85% 21.33%+0.75 +37.1 29
2019-11-02 @ Sirius L 0-334.3 1337 1404 21.33% 25.85% 52.83%-0.75 -37.1 23
2019-11-02 Malmo L 0-546.6 1521 1858 10.22% 23.46% 66.33%-1.67 -30.6 33
2019-11-02 @ Orebro W 5-046.6 1858 1521 66.33% 23.46% 10.22%+1.67 +30.7 65
2019-11-02 Ostersund W 7-140.2 1607 1393 65.87% 23.59% 10.54%+1.63 +31.0 48
2019-11-02 @ Goteborg L 1-740.2 1393 1607 10.54% 23.59% 65.87%-1.63 -31.0 25

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
2019-11-06 Kalmar L 0-251.4 1536 1300 67.46% 23.12% 9.43%+1.76 -66.1 0-1
2019-11-06 @ Brage W 2-051.4 1300 1536 9.43% 23.12% 67.46%-1.76 +66.1 1-0
2019-11-10 Brage D 2-263.0 1366 1470 30.45% 26.42% 43.13%-0.27 +1.0 1-0-1
2019-11-10 @ Kalmar D 2-263.0 1470 1366 43.13% 26.42% 30.45%+0.27 -1.0 0-1-1

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 2019-08-18 5.90% Kalmar 1441 2 @ AIK Stockholm 1774 1
2 2019-06-01 9.08% Orebro 1466 1 @ Goteborg 1710 0
3 2019-11-06 * 9.43% Kalmar 1300 2 @ Brage 1536 0
4 2019-06-30 9.78% Sirius 1499 1 @ Norrkoping 1728 0
5 2019-09-25 9.95% Elfsborg 1506 2 @ Hacken 1731 1
6 2019-04-19 16.18% @ Orebro 1460 2 AIK Stockholm 1702 1
7 2019-05-20 16.70% Orebro 1466 3 @ Ostersund 1584 1
8 2019-08-03 17.01% AFC Eskilstuna 1412 2 @ Ostersund 1526 1
9 2019-05-11 17.65% Orebro 1453 2 @ GIF Sundsvall 1560 1
10 2019-04-20 19.99% Kalmar 1492 2 @ GIF Sundsvall 1573 1
11 2019-07-14 20.64% @ Ostersund 1521 2 Norrkoping 1712 1
12 2019-09-24 20.66% GIF Sundsvall 1371 2 @ Kalmar 1445 0
13 2019-06-25 21.43% Norrkoping 1676 2 @ AIK Stockholm 1742 0
14 2019-04-21 21.79% Djurgarden 1663 1 @ Hacken 1725 0
15 2019-05-25 23.50% Goteborg 1685 2 @ Hacken 1731 1
16 2019-10-26 24.14% Falkenbergs 1321 3 @ Kalmar 1361 2
17 2019-05-27 24.33% Sirius 1477 2 @ Orebro 1515 0
18 2019-06-28 25.02% Helsingborg 1469 1 @ Orebro 1501 0
19 2019-06-29 25.11% @ Falkenbergs 1405 2 Elfsborg 1553 1
20 2019-05-12 25.54% AIK Stockholm 1635 2 @ Djurgarden 1662 0
21 2019-03-31 25.63% Sirius 1507 2 @ Kalmar 1534 0
22 2019-04-14 27.17% @ Elfsborg 1483 3 GIF Sundsvall 1614 1
23 2019-10-06 27.24% Hammarby 1816 2 @ Djurgarden 1829 1
24 2019-03-31 28.44% @ Helsingborg 1544 3 Norrkoping 1664 1
25 2019-04-29 28.78% @ Goteborg 1574 3 AIK Stockholm 1692 0

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 2019-04-29 66.32 @ Goteborg 3 1574 28.78% AIK Stockholm 0 1692 44.86% 26.36%
2 2019-11-06 * 66.08 Kalmar 2 1300 9.43% @ Brage 0 1536 67.46% 23.12%
3 2019-05-14 62.77 @ Hammarby 4 1642 44.18% Ostersund 0 1647 29.44% 26.38%
4 2019-07-29 55.19 Orebro 4 1508 29.47% @ Helsingborg 1 1503 44.14% 26.39%
5 2019-07-20 54.42 @ Orebro 4 1454 49.32% Falkenbergs 0 1417 24.55% 26.13%
6 2019-04-07 53.38 @ Goteborg 3 1499 39.69% Elfsborg 0 1537 33.82% 26.49%
7 2019-09-24 53.28 GIF Sundsvall 2 1371 20.66% @ Kalmar 0 1445 53.56% 25.78%
8 2019-06-25 52.51 Norrkoping 2 1676 21.43% @ AIK Stockholm 0 1742 52.72% 25.86%
9 2019-04-08 51.02 Djurgarden 3 1600 41.71% @ Orebro 0 1507 31.84% 26.45%
10 2019-05-20 49.74 Orebro 3 1466 16.70% @ Ostersund 1 1584 58.08% 25.22%
11 2019-05-27 49.70 Sirius 2 1477 24.33% @ Orebro 0 1515 49.56% 26.11%
12 2019-05-12 48.57 AIK Stockholm 2 1635 25.54% @ Djurgarden 0 1662 48.26% 26.19%
13 2019-03-31 48.49 Sirius 2 1507 25.63% @ Kalmar 0 1534 48.17% 26.20%
14 2019-09-15 43.48 @ Hammarby 6 1723 44.98% Goteborg 2 1722 28.67% 26.36%
15 2019-07-27 43.18 @ Falkenbergs 2 1363 31.69% GIF Sundsvall 0 1458 41.86% 26.45%
16 2019-10-19 42.78 @ Ostersund 2 1354 32.17% Sirius 0 1445 41.37% 26.46%
17 2019-08-19 42.54 @ Elfsborg 4 1477 42.18% Ostersund 1 1497 31.37% 26.44%
18 2019-04-14 40.79 @ Elfsborg 3 1483 27.17% GIF Sundsvall 1 1614 46.54% 26.29%
19 2019-10-28 40.77 @ Elfsborg 2 1574 34.61% Goteborg 0 1648 38.89% 26.50%
20 2019-04-13 40.76 Hacken 3 1684 50.02% @ Falkenbergs 0 1525 23.90% 26.08%
21 2019-03-31 39.80 @ Helsingborg 3 1544 28.44% Norrkoping 1 1664 45.21% 26.35%
22 2019-05-15 39.74 Djurgarden 3 1614 50.81% @ Falkenbergs 0 1448 23.17% 26.02%
23 2019-07-27 39.50 Hammarby 6 1691 58.45% @ AFC Eskilstuna 1 1451 16.39% 25.16%
24 2019-04-29 39.02 @ Ostersund 3 1610 51.38% Helsingborg 0 1556 22.65% 25.98%
25 2019-04-06 37.61 @ GIF Sundsvall 3 1576 31.39% Malmo 1 1674 42.17% 26.44%

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 2019-10-05 82.6 @ GIF Sundsvall 4 1441 8.51% Norrkoping 4 1816 68.83% 22.66%
2 2019-11-02 78.3 @ Norrkoping 2 1832 44.37% Djurgarden 2 1835 29.26% 26.38%
3 2019-05-27 77.3 @ Hammarby 2 1706 51.51% Norrkoping 2 1651 22.52% 25.96%
4 2019-08-05 75.7 @ Orebro 2 1563 28.94% Goteborg 2 1679 44.69% 26.37%
5 2019-08-04 74.6 @ Kalmar 2 1434 12.44% Hammarby 2 1730 63.33% 24.23%
6 2019-04-01 74.3 @ Djurgarden 2 1602 48.30% GIF Sundsvall 2 1574 25.50% 26.19%
7 2019-08-18 73.4 Kalmar 2 1441 5.90% @ AIK Stockholm 1 1774 73.20% 20.90%
8 2019-04-13 72.6 @ Kalmar 2 1491 26.75% Norrkoping 2 1625 46.99% 26.26%
9 2019-09-25 72.6 Elfsborg 2 1506 9.95% @ Hacken 1 1731 66.71% 23.34%
10 2019-07-14 72.3 @ Djurgarden 1 1729 36.14% Malmo 1 1791 37.36% 26.51%
11 2019-08-11 72.3 @ Hacken 1 1724 37.56% Malmo 1 1777 35.94% 26.51%
12 2019-10-21 72.3 @ Orebro 2 1535 39.57% Elfsborg 2 1574 33.94% 26.49%
13 2019-07-21 72.1 @ Malmo 1 1791 70.11% Sirius 1 1513 7.69% 22.20%
14 2019-09-29 71.6 @ Elfsborg 1 1539 15.39% AIK Stockholm 1 1791 59.65% 24.96%
15 2019-04-01 71.4 @ Malmo 1 1675 45.43% Hacken 1 1671 28.24% 26.34%
16 2019-04-28 71.4 @ Norrkoping 1 1635 33.57% Malmo 1 1717 39.94% 26.49%
17 2019-05-11 71.4 @ Ostersund 1 1647 35.68% Hacken 1 1712 37.82% 26.51%
18 2019-04-25 71.2 @ Djurgarden 1 1690 51.86% Norrkoping 1 1632 22.20% 25.93%
19 2019-05-25 70.6 Goteborg 2 1685 23.50% @ Hacken 1 1731 50.46% 26.05%
20 2019-10-06 70.1 Hammarby 2 1816 27.24% @ Djurgarden 1 1829 46.47% 26.29%
21 2019-05-24 69.5 @ GIF Sundsvall 1 1490 17.56% AIK Stockholm 1 1715 57.08% 25.36%
22 2019-07-14 69.3 @ Ostersund 2 1521 20.64% Norrkoping 1 1712 53.58% 25.77%
23 2019-09-21 69.2 @ Kalmar 1 1438 12.23% Hacken 1 1738 63.60% 24.17%
24 2019-04-19 69.0 @ Orebro 2 1460 16.18% AIK Stockholm 1 1702 58.71% 25.12%
25 2019-09-15 68.9 AIK Stockholm 2 1775 30.78% @ Hacken 1 1760 42.79% 26.43%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2019-11-02 34.3 @ Sirius 3 1404 52.83% Kalmar 0 1337 21.33% 25.85%
2 2019-10-06 34.6 @ Elfsborg 4 1544 63.62% Falkenbergs 0 1361 12.22% 24.16%
3 2019-09-25 37.4 @ Orebro 2 1552 64.02% Ostersund 0 1363 11.91% 24.07%
4 2019-07-20 37.9 @ Orebro 4 1454 49.32% Falkenbergs 0 1417 24.55% 26.13%
5 2019-09-13 38.1 @ Sirius 2 1435 51.71% Falkenbergs 0 1378 22.34% 25.95%
6 2019-09-30 38.8 @ Helsingborg 2 1448 51.69% Kalmar 0 1391 22.36% 25.95%
7 2019-09-26 39.8 @ Norrkoping 4 1799 77.41% AFC Eskilstuna 0 1379 3.87% 18.71%
8 2019-11-02 40.2 @ Goteborg 7 1607 65.87% Ostersund 1 1393 10.54% 23.59%
9 2019-08-17 40.9 @ Hammarby 3 1730 72.20% GIF Sundsvall 0 1415 6.45% 21.35%
10 2019-08-18 41.3 @ Malmo 5 1777 74.75% Falkenbergs 0 1413 5.10% 20.15%
11 2019-08-25 41.8 @ Norrkoping 5 1745 72.07% Helsingborg 0 1433 6.52% 21.40%
12 2019-08-19 42.1 @ Djurgarden 3 1797 74.96% AFC Eskilstuna 0 1429 4.99% 20.05%
13 2019-05-20 42.3 @ AIK Stockholm 2 1706 71.24% Falkenbergs 0 1408 7.01% 21.76%
14 2019-08-30 42.3 @ Helsingborg 2 1413 41.23% Ostersund 0 1440 32.30% 26.46%
15 2019-05-25 42.8 @ Malmo 5 1755 71.38% AFC Eskilstuna 0 1455 6.93% 21.70%
16 2019-08-26 42.9 @ Goteborg 4 1681 65.26% Kalmar 0 1476 10.98% 23.75%
17 2019-09-26 42.9 @ Malmo 3 1843 75.86% Helsingborg 0 1456 4.56% 19.58%
18 2019-09-21 43.1 @ Falkenbergs 1 1352 40.69% Ostersund 0 1382 32.84% 26.47%
19 2019-07-14 43.3 @ Hacken 3 1713 67.84% Orebro 0 1471 9.17% 22.99%
20 2019-08-10 43.3 @ Djurgarden 4 1780 71.29% Sirius 0 1482 6.97% 21.73%
21 2019-10-20 43.3 AIK Stockholm 5 1798 74.03% @ Falkenbergs 1 1331 5.46% 20.51%
22 2019-09-01 43.5 Goteborg 2 1708 65.15% @ GIF Sundsvall 0 1387 11.07% 23.78%
23 2019-10-19 43.6 @ Ostersund 2 1354 32.17% Sirius 0 1445 41.37% 26.46%
24 2019-09-29 43.7 Norrkoping 2 1808 72.62% @ Falkenbergs 0 1369 6.21% 21.16%
25 2019-11-02 43.7 @ Falkenbergs 1 1344 38.69% AFC Eskilstuna 0 1389 34.81% 26.50%