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2008-09 1st Division Season

240 games

Final

Promoted

Herfolge

71 pts

Silkeborg · 69 pts

Relegated

Koge BK

4 pts

FC Amager · 11 pts

Lolland-Falster Alliancen · 15 pts

Biggest Overachiever

Herfolge

19.45 points above expected

71 points · 51.55 expected points

Biggest Disappointment

Lolland-Falster Alliancen

14.49 points below expected

15 points · 29.49 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 Herfolge Promoted 30 22 5 3 71 74 27 +47 51.55 +19.45
2 Silkeborg Promoted 30 21 6 3 69 59 27 +32 58.08 +10.92
3 Akademisk BK 30 19 4 7 61 50 30 +20 48.12 +12.88
4 Viborg 30 17 3 10 54 53 40 +13 48.79 +5.21
5 Naestved 30 14 10 6 52 49 34 +15 47.40 +4.60
6 Lyngby 30 14 8 8 50 44 26 +18 48.32 +1.68
7 Fredericia 30 13 8 9 47 52 43 +9 44.79 +2.21
8 Hvidovre 30 11 7 12 40 45 46 -1 42.56 -2.56
9 Thisted 30 10 9 11 39 48 49 -1 47.77 -8.77
10 FC Roskilde 30 12 3 15 39 39 53 -14 40.68 -1.68
11 BK Frem Kobenhavn 30 8 12 10 36 35 53 -18 37.94 -1.94
12 Kolding FC 30 9 9 12 36 39 59 -20 40.07 -4.07
13 Skive 30 9 7 14 34 43 57 -14 39.29 -5.29
14 Lolland-Falster Alliancen Relegated 30 4 3 23 15 19 66 -47 29.49 -14.49
15 FC Amager* Relegated 30 2 8 20 11 24 30 -6 23.71 -12.71
16 Koge BK* Relegated 30 1 4 25 4 11 44 -33 13.96 -9.96

* Point deductions: FC Amager (-3 pts), Koge BK (-3 pts)

Notes

  • FC Amager and Koge BK both declared bankruptcy at the end of the season. After being relegated on points, Amager was further relegated to the Copenhagen Series while Koge BK was further relegated to the Zealand Series.

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

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
Herfolge 1752 71 51.55 +19.45 99.9% 30 41 47 52 56 63 75
Silkeborg 1700 69 58.08 +10.92 96.7% 34 48 54 58 62 68 79
Akademisk BK 1620 61 48.12 +12.88 97.7% 23 37 44 48 53 59 70
Fredericia 1576 47 44.79 +2.21 66.1% 21 34 40 45 49 56 69
Naestved 1576 52 47.40 +4.60 78.1% 23 36 43 47 52 59 73
Lyngby 1565 50 48.32 +1.68 63.1% 24 37 44 48 53 59 73
Viborg 1553 54 48.79 +5.21 79.9% 23 38 44 49 53 60 75
Hvidovre 1508 40 42.56 -2.56 38.4% 22 32 38 42 47 53 68
FC Amager 1494 11 23.71 -12.71 3.1% 7 16 20 24 27 32 42
Thisted 1479 39 47.77 -8.77 10.3% 24 37 43 48 52 59 71
FC Roskilde 1467 39 40.68 -1.68 43.2% 16 30 36 41 45 51 66
Skive 1409 34 39.29 -5.29 22.9% 14 29 35 39 44 50 61
Kolding FC 1397 36 40.07 -4.07 29.4% 19 30 36 40 44 51 66
BK Frem Kobenhavn 1389 36 37.94 -1.94 41.7% 13 28 34 38 42 48 64
Koge BK 1319 4 13.96 -9.96 6.7% 0 7 11 14 17 22 32
Lolland-Falster Alliancen 1281 15 29.49 -14.49 0.6% 11 20 25 29 33 39 52

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 AB BFK FA FR FRE HER HVI KB KOL LA LYN NAE SIL SKI THI VIB
Akademisk BK —
1-1-0
3.46
2-0-0
2.86
2-0-0
3.72
0-1-1
3.12
0-0-2
2.47
1-1-0
3.02
2-0-0
3.88
2-0-0
2.94
2-0-0
3.81
1-0-1
2.92
1-0-1
2.67
0-0-2
2.31
2-0-0
3.33
1-1-0
3.01
2-0-0
2.69
BK Frem Kobenhavn
0-1-1
1.99
 —
1-1-0
2.19
1-0-1
2.44
0-2-0
2.06
0-1-1
1.64
1-0-1
2.38
1-0-1
3.52
0-2-0
2.69
2-0-0
3.56
0-1-1
2.19
0-2-0
2.33
1-1-0
1.35
1-0-1
2.64
0-1-1
2.23
0-0-2
2.10
FC Amager
0-0-2
2.59
0-1-1
3.25
 —
1-0-1
2.75
0-1-1
2.62
0-1-1
2.31
0-1-1
2.87
0-2-0
3.93
0-0-2
3.13
1-0-1
3.94
0-0-2
2.70
0-1-1
2.22
0-0-2
1.57
0-1-1
3.12
0-1-1
2.46
0-0-2
2.36
FC Roskilde
0-0-2
1.74
1-0-1
2.99
1-0-1
2.68
 —
1-0-1
2.46
0-0-2
1.73
1-0-1
2.63
2-0-0
3.68
0-0-2
2.78
1-1-0
3.51
1-0-1
2.10
0-1-1
2.08
0-0-2
1.91
1-1-0
2.88
1-0-1
2.37
2-0-0
1.83
Fredericia
1-1-0
2.32
0-2-0
3.38
1-1-0
2.81
1-0-1
2.97
 —
0-0-2
2.01
1-1-0
2.86
2-0-0
3.60
1-0-1
3.06
1-1-0
4.14
0-1-1
2.66
0-1-1
2.48
1-0-1
2.20
1-0-1
3.30
2-0-0
2.49
1-0-1
2.35
Herfolge
2-0-0
2.96
1-1-0
3.84
1-1-0
3.12
2-0-0
3.77
2-0-0
3.44
 —
2-0-0
3.56
2-0-0
4.16
2-0-0
3.35
2-0-0
3.81
0-2-0
3.30
1-0-1
3.04
0-0-2
2.50
1-1-0
3.43
2-0-0
3.40
2-0-0
3.02
Hvidovre
0-1-1
2.41
1-0-1
3.05
1-1-0
2.57
1-0-1
2.80
0-1-1
2.57
0-0-2
1.95
 —
2-0-0
3.72
1-0-1
2.80
2-0-0
3.67
1-0-1
2.35
0-0-2
2.20
0-1-1
1.81
0-1-1
2.93
1-1-0
2.26
1-1-0
2.19
Koge BK
0-0-2
1.63
1-0-1
1.96
0-2-0
1.56
0-0-2
1.78
0-0-2
1.89
0-0-2
1.36
0-0-2
1.75
 —
0-1-1
1.91
0-1-1
2.76
0-0-2
1.23
0-0-2
1.39
0-1-1
0.94
0-0-2
1.91
0-0-2
1.36
0-0-2
1.35
Kolding FC
0-0-2
2.50
0-2-0
2.74
2-0-0
2.31
2-0-0
2.65
1-0-1
2.37
0-0-2
2.09
1-0-1
2.63
1-1-0
3.54
 —
2-0-0
3.43
0-1-1
1.83
0-2-0
2.14
0-1-1
1.40
0-1-1
2.75
0-1-1
2.05
0-0-2
2.18
Lolland-Falster Alliancen
0-0-2
1.66
0-0-2
1.90
1-0-1
1.54
0-1-1
1.96
0-1-1
1.38
0-0-2
1.72
0-0-2
1.81
1-1-0
2.66
0-0-2
2.04
 —
0-0-2
1.25
0-0-2
1.80
0-0-2
1.03
1-0-1
1.92
0-0-2
1.59
1-0-1
1.49
Lyngby
1-0-1
2.51
1-1-0
3.25
2-0-0
2.76
1-0-1
3.36
1-1-0
2.78
0-2-0
2.13
1-0-1
3.09
2-0-0
4.32
1-1-0
3.64
2-0-0
4.29
 —
0-2-0
2.85
0-0-2
2.32
1-0-1
3.33
1-1-0
2.81
0-0-2
2.74
Naestved
1-0-1
2.76
0-2-0
3.10
1-1-0
3.21
1-1-0
3.37
1-1-0
2.96
1-0-1
2.40
2-0-0
3.25
2-0-0
4.12
0-2-0
3.30
2-0-0
3.73
0-2-0
2.59
 —
0-0-2
2.12
1-1-0
2.93
1-0-1
2.45
1-0-1
2.59
Silkeborg
2-0-0
3.15
0-1-1
4.20
2-0-0
3.93
2-0-0
3.54
1-0-1
3.29
2-0-0
2.93
1-1-0
3.65
1-1-0
4.68
1-1-0
4.12
2-0-0
4.59
2-0-0
3.13
2-0-0
3.32
 —
2-0-0
3.88
1-1-0
3.56
0-1-1
3.21
Skive
0-0-2
2.10
1-0-1
2.79
1-1-0
2.31
0-1-1
2.56
1-0-1
2.14
0-1-1
2.05
1-1-0
2.50
2-0-0
3.55
1-1-0
2.67
1-0-1
3.53
1-0-1
2.12
0-1-1
2.53
0-0-2
1.65
 —
0-1-1
1.99
0-0-2
2.09
Thisted
0-1-1
2.44
1-1-0
3.21
1-1-0
3.00
1-0-1
3.06
0-0-2
2.96
0-0-2
2.04
0-1-1
3.17
2-0-0
4.16
1-1-0
3.41
2-0-0
3.92
0-1-1
2.62
1-0-1
2.99
0-1-1
1.89
1-1-0
3.46
 —
0-1-1
2.47
Viborg
0-0-2
2.73
2-0-0
3.35
2-0-0
3.09
0-0-2
3.64
1-0-1
3.08
0-0-2
2.42
0-1-1
3.26
2-0-0
4.19
2-0-0
3.26
1-0-1
4.01
2-0-0
2.69
1-0-1
2.84
1-1-0
2.23
2-0-0
3.35
1-1-0
2.97
 —

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 0.90 +11.8
Allowed 0.29 -8.1
Differential 0.78 +7.0

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
03.75%4.17%5.00%3.75%2.71%0.83%20.21%
14.17%10.00%5.21%2.92%2.08%1.04%25.42%
25.00%5.21%8.33%2.71%1.67%0.42%23.33%
33.75%2.92%2.71%—0.21%0.21%9.79%
42.71%2.08%1.67%0.21%——6.67%
5+0.83%1.04%0.42%0.21%—12.08%14.58%
Total20.21%25.42%23.33%9.79%6.67%14.58%100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.30 +0.00
SD 1.55 1.55 2.04
CV 1.19 1.19 —
Max 8 8 +7
Min -1 -1 -7

Games Played: 240

↓ Scored | Allowed →012345+Total
0—6.67%10.00%—3.33%—20.00%
110.00%6.67%3.33%———20.00%
213.33%10.00%6.67%———30.00%
33.33%—6.67%———10.00%
46.67%—3.33%———10.00%
5+—3.33%———6.67%10.00%
Total33.33%26.67%30.00%—3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 0.93 +0.67
SD 1.52 1.11 1.88
CV 0.95 1.19 —
Max 5 4 +4
Min -1 -1 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%—3.33%10.00%3.33%3.33%26.67%
13.33%13.33%—3.33%6.67%—26.67%
23.33%6.67%20.00%3.33%——33.33%
33.33%—————3.33%
43.33%—————3.33%
5+—————6.67%6.67%
Total20.00%20.00%23.33%16.67%10.00%10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.70 -0.60
SD 1.16 1.64 2.09
CV 1.05 0.97 —
Max 4 6 +4
Min -1 -1 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%—3.33%——6.67%
1—6.67%3.33%——3.33%13.33%
23.33%—20.00%3.33%——26.67%
3———————
43.33%—————3.33%
5+—————50.00%50.00%
Total6.67%10.00%23.33%6.67%—53.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.30 0.50 -0.20
SD 1.49 1.91 1.52
CV 4.96 3.81 —
Max 4 7 +4
Min -1 -1 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%16.67%—6.67%3.33%30.00%
16.67%6.67%6.67%———20.00%
210.00%—3.33%3.33%6.67%—23.33%
3—10.00%3.33%—3.33%—16.67%
4—3.33%————3.33%
5+—————6.67%6.67%
Total16.67%23.33%30.00%3.33%16.67%10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.70 -0.47
SD 1.33 1.58 2.03
CV 1.08 0.93 —
Max 4 5 +3
Min -1 -1 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%—3.33%3.33%——13.33%
1—6.67%13.33%6.67%——26.67%
23.33%6.67%13.33%—3.33%—26.67%
36.67%3.33%3.33%———13.33%
43.33%3.33%6.67%———13.33%
5+—————6.67%6.67%
Total20.00%20.00%40.00%10.00%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.37 +0.30
SD 1.42 1.22 1.74
CV 0.85 0.89 —
Max 4 4 +4
Min -1 -1 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%—3.33%——13.33%
13.33%6.67%—3.33%——13.33%
26.67%13.33%3.33%———23.33%
310.00%3.33%3.33%———16.67%
46.67%6.67%10.00%———23.33%
5+3.33%3.33%———3.33%10.00%
Total36.67%36.67%16.67%6.67%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 2.43 0.87 +1.57
SD 1.87 0.97 2.05
CV 0.77 1.12 —
Max 8 3 +7
Min -1 -1 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%—3.33%3.33%——10.00%
13.33%16.67%13.33%3.33%6.67%—43.33%
26.67%—3.33%6.67%3.33%—20.00%
36.67%3.33%3.33%———13.33%
43.33%—3.33%———6.67%
5+—————6.67%6.67%
Total23.33%20.00%26.67%13.33%10.00%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.47 -0.03
SD 1.25 1.43 1.83
CV 0.87 0.98 —
Max 4 4 +4
Min -1 -1 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%3.33%3.33%3.33%10.00%3.33%26.67%
1—6.67%——3.33%3.33%13.33%
2——3.33%3.33%——6.67%
3——3.33%———3.33%
4———————
5+—————50.00%50.00%
Total3.33%10.00%10.00%6.67%13.33%56.67%100%

Summary Statistics

Scored Allowed Difference
Mean -0.13 0.97 -1.10
SD 1.11 2.44 1.95
CV -8.29 2.53 —
Max 3 8 +1
Min -1 -1 -7

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%——6.67%6.67%—16.67%
16.67%6.67%6.67%6.67%10.00%—36.67%
23.33%3.33%20.00%3.33%——30.00%
3—3.33%3.33%———6.67%
4——3.33%———3.33%
5+—————6.67%6.67%
Total13.33%13.33%33.33%16.67%16.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.90 -0.67
SD 1.14 1.47 1.77
CV 0.92 0.77 —
Max 4 4 +2
Min -1 -1 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0—20.00%13.33%13.33%6.67%3.33%56.67%
1—6.67%10.00%3.33%—3.33%23.33%
2——3.33%—3.33%—6.67%
3——3.33%———3.33%
4———————
5+—3.33%———6.67%10.00%
Total—30.00%30.00%16.67%10.00%13.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.57 2.13 -1.57
SD 1.19 1.63 1.94
CV 2.11 0.77 —
Max 5 7 +4
Min -1 -1 -7

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%6.67%———23.33%
16.67%20.00%—3.33%——30.00%
26.67%——6.67%——13.33%
310.00%6.67%————16.67%
43.33%6.67%————10.00%
5+—————6.67%6.67%
Total33.33%43.33%6.67%10.00%—6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 0.80 +0.60
SD 1.45 1.03 1.71
CV 1.04 1.29 —
Max 4 3 +4
Min -1 -1 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%3.33%3.33%——20.00%
110.00%13.33%6.67%—3.33%—33.33%
2—6.67%10.00%———16.67%
36.67%—————6.67%
43.33%——3.33%——6.67%
5+3.33%—3.33%3.33%—6.67%16.67%
Total33.33%23.33%23.33%10.00%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 1.07 +0.50
SD 1.70 1.26 1.81
CV 1.08 1.18 —
Max 5 4 +5
Min -1 -1 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%—————3.33%
13.33%6.67%6.67%———16.67%
213.33%23.33%10.00%3.33%——50.00%
36.67%3.33%————10.00%
4—3.33%————3.33%
5+—3.33%3.33%——10.00%16.67%
Total26.67%40.00%20.00%3.33%—10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.87 0.80 +1.07
SD 1.53 1.00 1.39
CV 0.82 1.25 —
Max 6 3 +4
Min -1 -1 -1

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%3.33%———13.33%
13.33%13.33%3.33%10.00%—6.67%36.67%
23.33%3.33%6.67%6.67%3.33%6.67%30.00%
36.67%—————6.67%
4—6.67%————6.67%
5+—————6.67%6.67%
Total16.67%30.00%13.33%16.67%3.33%20.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.83 -0.47
SD 1.22 1.84 2.01
CV 0.89 1.00 —
Max 4 6 +3
Min -1 -1 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%3.33%6.67%3.33%—23.33%
1—16.67%3.33%3.33%3.33%—26.67%
2—6.67%10.00%—3.33%—20.00%
3—3.33%3.33%——3.33%10.00%
46.67%3.33%————10.00%
5+3.33%————6.67%10.00%
Total13.33%36.67%20.00%10.00%10.00%10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.57 -0.03
SD 1.74 1.48 2.34
CV 1.13 0.94 —
Max 7 5 +7
Min -1 -1 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%—10.00%3.33%3.33%—20.00%
110.00%6.67%6.67%3.33%——26.67%
26.67%3.33%—3.33%3.33%—16.67%
3—10.00%10.00%———20.00%
43.33%—————3.33%
5+3.33%3.33%———6.67%13.33%
Total26.67%23.33%26.67%10.00%6.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.70 1.27 +0.43
SD 1.84 1.34 2.33
CV 1.08 1.06 —
Max 7 4 +6
Min -1 -1 -4

Games Played: 30

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.

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 Herfolge 71 51.55 +19.45
2 Akademisk BK 61 48.12 +12.88
3 Silkeborg 69 58.08 +10.92
4 Viborg 54 48.79 +5.21
5 Naestved 52 47.40 +4.60

Biggest Disappointments

# Team Actual Sim vsSim
1 Lolland-Falster Alliancen 15 29.49 -14.49
2 FC Amager 11 23.71 -12.71
3 Koge BK 4 13.96 -9.96
4 Thisted 39 47.77 -8.77
5 Skive 34 39.29 -5.29

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 W or D consecutively; Winless counts L or D consecutively.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Akademisk BK 10 Apr 9 – Jun 7 1 in 1,765
2 Viborg 7 Aug 10 – Sep 21 1 in 666
3 Herfolge 8 Apr 3 – May 16 1 in 164
4 Silkeborg 9 Apr 16 – Jun 1 1 in 105
5 Fredericia 5 Apr 9 – May 3 1 in 96

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 FC Amager 9 Mar 22 – Apr 28 1 in 1,882
2 Lolland-Falster Alliancen 8 Aug 17 – Oct 19 1 in 530
3 Skive 7 Apr 2 – May 3 1 in 243
4 Viborg 5 May 16 – Jun 7 1 in 197
5 Koge BK 9 Nov 23 – Apr 28 1 in 104

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Kolding FC 14 Sep 3 – Apr 5 1 in 1,879
2 Naestved 12 Aug 27 – Nov 23 1 in 128
3 BK Frem Kobenhavn 7 Oct 5 – Nov 16 1 in 91
4 Fredericia 9 Mar 22 – May 3 1 in 36
5 Viborg 9 Aug 10 – Oct 12 1 in 25

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 FC Amager 17 Nov 16 – Jun 7 1 in 3,503
2 Koge BK 23 Oct 5 – Jun 7 1 in 110
3 Thisted 9 Sep 21 – Nov 23 1 in 97
4 Lolland-Falster Alliancen 16 Aug 10 – Apr 2 1 in 90
5 Hvidovre 8 Sep 14 – Nov 9 1 in 25

Finish Position Heatmap

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
Herfolge14.93%18.78%15.60%12.26%10.39%8.11%6.06%4.81%3.60%2.10%1.75%0.92%0.49%0.19%0.01%—
Silkeborg51.83%20.77%11.10%6.54%3.89%2.50%1.45%0.84%0.56%0.29%0.17%0.05%—0.01%——
Akademisk BK5.98%10.14%11.73%11.79%11.41%10.36%9.26%7.92%6.82%5.47%3.84%3.05%1.71%0.46%0.06%—
Viborg6.88%11.39%12.48%11.96%11.45%9.97%9.12%7.48%6.56%4.66%3.91%2.48%1.22%0.40%0.04%—
Naestved5.12%8.63%9.95%11.21%10.95%10.42%10.26%9.12%7.15%6.24%4.89%3.46%1.85%0.69%0.06%—
Lyngby6.03%10.80%11.89%11.55%11.15%10.78%9.43%8.09%6.56%5.45%3.91%2.55%1.45%0.32%0.04%—
Fredericia2.06%4.57%6.43%7.57%8.94%10.33%10.56%10.43%10.48%8.92%8.01%6.29%3.93%1.29%0.19%—
Hvidovre0.99%2.44%3.67%5.64%6.72%7.61%9.08%10.19%11.19%11.04%10.86%10.02%7.24%2.80%0.51%—
Thisted4.89%8.65%10.59%11.33%11.09%10.57%9.43%9.24%7.42%6.81%4.29%3.25%2.03%0.37%0.04%—
FC Roskilde0.49%1.37%2.41%3.31%4.52%5.64%7.23%8.58%10.40%12.31%13.72%13.07%11.50%4.61%0.81%0.03%
BK Frem Kobenhavn0.14%0.39%1.03%1.50%2.38%3.58%4.60%6.55%8.38%10.89%13.21%16.93%18.98%9.12%2.25%0.07%
Kolding FC0.45%1.25%1.60%3.09%3.73%5.27%6.88%8.11%10.06%11.54%13.34%14.27%13.30%5.88%1.23%—
Skive0.21%0.81%1.50%2.17%3.25%4.70%6.29%7.89%9.64%12.03%13.53%14.59%14.99%6.88%1.51%0.01%
Lolland-Falster Alliancen—0.01%0.02%0.08%0.13%0.16%0.35%0.72%1.15%2.14%4.15%7.79%16.26%43.27%22.22%1.55%
FC Amager———————0.03%0.03%0.11%0.42%1.28%5.00%22.74%63.28%7.11%
Koge BK————————————0.05%0.97%7.75%91.23%

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.

Points 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).

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 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% 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
+6.67%
Slight Edge
42.08%22.50%35.42%
Elo Value
Home Edge: 23.20 Elo pts.
143 Elo
0.007 goals per Elo point
0400
Scoring Tilt
Expected
+0.23 goals
Neutral
-2+0.16+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 2 * Top-Heavy: 2 to 4 * Open: 4 to 6 * Wide Open: 6 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 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
3.2
Top-Heavy
124610
Champion Preseason Odds
15%
Herfolge, 2nd of 16
LongshotFavorite
Title Margin
Expected
0.07/gm
Photo Finish
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 5.05 * Some Luck: 5.05 to 7.57 * Lucky: 7.57 to 10.09 * Wild Swing: 10.09 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 1.73 * Close: 1.73 to 2.6 * Off: 2.6 to 3.46 * Way Off: 3.46 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.
Unexpected Relegations
Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 0.5 * A Surprise: 0.5 to 0.8 * Several Surprises: 0.8 to 1.1 * Many Surprises: 1.1 and up.
Luck Spread
Expected
8.68 points
Lucky
06.3116
Average Finish Error
Expected
1.12
Pinpoint
02.165
Biggest Overachiever
Expected 96.88%
99.91%
Herfolge
50100
Biggest Underachiever
Expected 3.12%
0.58%
Lolland-Falster Alliancen
050
Season Outliers
Expected
5 of 16
Minimal Outliers
01.68
Unexpected Relegations
Expected
0 of 3
As Expected
00.43

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 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 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 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% 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 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% 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 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% 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 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.25
Top-Heavy
00.120.180.260.5
Noll-Scully
Coin-flip
2.34
Wide Separation
01.003
Interquartile Edge
73%
Clear Edge
50%60%70%80%100%
Best vs. Worst
Baseline 94%
94%
Dominant
50%100%
Close Games
Expected
59%
Very Frequent
0%54%100%
Blowouts
Expected
22%
Frequent
0%22%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 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 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 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 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 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% 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 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.58
Predictable
00.622
Matchup Imbalance
0.33
Lopsided
00.10.180.280.5
Strangeness
Expected
2.00
Chaotic
01.002
Repeatability
0.35
Some Carryover
00.30.60.851
Upset Rate
Expected
23%
Chalky
0%24%50%
Clear Favorite Upset Rate
Expected
17%
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 0.16 * Above Noise: 0.16 to 0.21 * Well Above Noise: 0.21 and up.
Probability calibration
0.13
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.65
Very Underconfident
0.1505141.001.84949
Calibration error (ECE)
Noise ceiling
0.096
Well Within Noise
00.1070.25

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Direct promotion Same level Direct relegation
Silkeborg 72.60% 27.39% 0.01%
Herfolge 33.71% 66.09% 0.20%
Viborg 18.27% 81.29% 0.44%
Lyngby 16.83% 82.81% 0.36%
Akademisk BK 16.12% 83.36% 0.52%
Thisted 13.54% 86.05% 0.41%
Naestved 13.75% 85.50% 0.75%
Fredericia 6.63% 91.89% 1.48%
Hvidovre 3.43% 93.26% 3.31%
FC Roskilde 1.86% 92.69% 5.45%
Kolding FC 1.70% 91.19% 7.11%
Skive 1.02% 90.58% 8.40%
BK Frem Kobenhavn 0.53% 88.03% 11.44%
Lolland-Falster Alliancen 0.01% 32.95% 67.04%
FC Amager — 6.87% 93.13%
Koge BK — 0.05% 99.95%

Overall Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2008-08-09 Lyngby L 0-3 1550 1489 51.22% 27.26% 21.52% -33.3 0
2008-08-09 @ FC Amager W 3-0 1489 1550 21.52% 27.26% 51.22% +33.3 3
2008-08-10 Akademisk BK L 0-4 1508 1500 44.53% 28.41% 27.06% -38.8 0
2008-08-10 @ Kolding FC W 4-0 1500 1508 27.06% 28.41% 44.53% +38.8 3
2008-08-10 FC Roskilde D 2-2 1468 1539 33.43% 28.90% 37.67% +0.1 1
2008-08-10 @ Lolland-Falster Alliancen D 2-2 1539 1468 37.67% 28.90% 33.43% -0.2 1
2008-08-10 Fredericia L 0-3 1450 1521 33.57% 28.91% 37.52% -24.1 0
2008-08-10 @ Koge BK W 3-0 1521 1450 37.52% 28.91% 33.57% +24.1 3
2008-08-10 Herfolge D 1-1 1471 1518 37.00% 28.92% 34.09% -0.1 1
2008-08-10 @ Skive D 1-1 1518 1471 34.09% 28.92% 37.00% +0.1 1
2008-08-10 Hvidovre D 1-1 1550 1507 49.10% 27.70% 23.20% -1.3 1
2008-08-10 @ Silkeborg D 1-1 1507 1550 23.20% 27.70% 49.10% +1.3 1
2008-08-10 Thisted L 1-3 1484 1539 35.67% 28.93% 35.40% -15.0 0
2008-08-10 @ BK Frem Kobenhavn W 3-1 1539 1484 35.40% 28.93% 35.67% +15.0 3
2008-08-10 Viborg L 0-1 1491 1502 41.91% 28.67% 29.42% -10.4 0
2008-08-10 @ Naestved W 1-0 1502 1491 29.42% 28.67% 41.91% +10.4 3
2008-08-16 Skive W 1-0 1513 1471 48.85% 27.75% 23.40% +6.6 6
2008-08-16 @ Viborg L 0-1 1471 1513 23.40% 27.75% 48.85% -6.6 1
2008-08-17 BK Frem Kobenhavn W 2-0 1522 1469 50.28% 27.47% 22.25% +12.0 6
2008-08-17 @ Lyngby L 0-2 1469 1522 22.25% 27.47% 50.28% -12.0 0
2008-08-17 FC Amager D 1-1 1508 1516 42.30% 28.64% 29.06% -0.6 2
2008-08-17 @ Hvidovre D 1-1 1516 1508 29.06% 28.64% 42.30% +0.7 1
2008-08-17 Koge BK W 1-0 1539 1426 57.22% 25.60% 17.18% +5.0 4
2008-08-17 @ FC Roskilde L 0-1 1426 1539 17.18% 25.60% 57.22% -5.0 0
2008-08-17 Kolding FC W 3-0 1518 1469 49.74% 27.58% 22.68% +17.7 4
2008-08-17 @ Herfolge L 0-3 1469 1518 22.68% 27.58% 49.74% -17.7 0
2008-08-17 Naestved W 4-1 1554 1481 52.78% 26.89% 20.33% +13.6 6
2008-08-17 @ Thisted L 1-4 1481 1554 20.33% 26.89% 52.78% -13.6 0
2008-08-17 Lolland-Falster Alliancen W 1-0 1538 1468 52.36% 27.00% 20.65% +6.0 6
2008-08-17 @ Akademisk BK L 0-1 1468 1538 20.65% 27.00% 52.36% -5.9 1
2008-08-17 Silkeborg L 1-2 1545 1549 42.94% 28.58% 28.48% -9.9 3
2008-08-17 @ Fredericia W 2-1 1549 1545 28.48% 28.58% 42.94% +10.0 4
2008-08-27 Akademisk BK L 0-2 1421 1544 26.87% 28.38% 44.75% -14.0 0
2008-08-27 @ Koge BK W 2-0 1544 1421 44.75% 28.38% 26.87% +14.0 9
2008-08-27 FC Roskilde W 2-0 1559 1544 45.36% 28.31% 26.34% +13.8 7
2008-08-27 @ Silkeborg L 0-2 1544 1559 26.34% 28.31% 45.36% -13.8 4
2008-08-27 Fredericia D 2-2 1517 1535 40.97% 28.75% 30.29% -0.4 2
2008-08-27 @ FC Amager D 2-2 1535 1517 30.29% 28.75% 40.97% +0.4 4
2008-08-27 BK Frem Kobenhavn D 1-1 1467 1457 44.80% 28.38% 26.82% -0.9 1
2008-08-27 @ Naestved D 1-1 1457 1467 26.82% 28.38% 44.80% +0.9 1
2008-08-27 Herfolge L 1-2 1462 1535 33.19% 28.90% 37.92% -8.2 1
2008-08-27 @ Lolland-Falster Alliancen W 2-1 1535 1462 37.92% 28.90% 33.19% +8.2 7
2008-08-27 Lyngby W 3-1 1507 1534 39.78% 28.82% 31.40% +13.7 5
2008-08-27 @ Hvidovre L 1-3 1534 1507 31.40% 28.82% 39.78% -13.7 6
2008-08-27 Thisted D 1-1 1464 1568 29.20% 28.65% 42.15% +0.6 2
2008-08-27 @ Skive D 1-1 1568 1464 42.15% 28.65% 29.20% -0.6 7
2008-08-27 Viborg L 1-3 1451 1519 33.93% 28.91% 37.16% -14.5 0
2008-08-27 @ Kolding FC W 3-1 1519 1451 37.16% 28.91% 33.93% +14.5 9
2008-08-31 FC Amager L 0-4 1531 1517 45.30% 28.31% 26.38% -39.4 4
2008-08-31 @ FC Roskilde W 4-0 1517 1531 26.38% 28.31% 45.30% +39.4 5
2008-08-31 Hvidovre W 4-1 1536 1521 45.39% 28.30% 26.31% +16.9 7
2008-08-31 @ Fredericia L 1-4 1521 1536 26.31% 28.30% 45.39% -16.9 5
2008-08-31 Koge BK W 8-1 1544 1407 59.73% 24.72% 15.56% +22.6 10
2008-08-31 @ Herfolge L 1-8 1407 1544 15.56% 24.72% 59.73% -22.6 0
2008-08-31 Kolding FC W 2-1 1567 1437 59.12% 24.94% 15.94% +4.4 10
2008-08-31 @ Thisted L 1-2 1437 1567 15.94% 24.94% 59.12% -4.4 0
2008-08-31 Naestved D 0-0 1520 1466 50.40% 27.44% 22.16% -1.6 7
2008-08-31 @ Lyngby D 0-0 1466 1520 22.16% 27.44% 50.40% +1.6 2
2008-08-31 Lolland-Falster Alliancen W 2-0 1534 1454 53.47% 26.71% 19.82% +10.8 12
2008-08-31 @ Viborg L 0-2 1454 1534 19.82% 26.71% 53.47% -10.8 1
2008-08-31 Silkeborg L 0-2 1558 1573 41.53% 28.70% 29.77% -19.4 9
2008-08-31 @ Akademisk BK W 2-0 1573 1558 29.77% 28.70% 41.53% +19.4 10
2008-08-31 Skive L 1-4 1458 1465 42.46% 28.63% 28.92% -24.2 1
2008-08-31 @ BK Frem Kobenhavn W 4-1 1465 1458 28.92% 28.63% 42.46% +24.2 5
2008-09-03 BK Frem Kobenhavn D 2-2 1432 1434 43.29% 28.55% 28.17% -0.6 1
2008-09-03 @ Kolding FC D 2-2 1434 1432 28.17% 28.55% 43.29% +0.6 2
2008-09-07 FC Roskilde W 2-0 1504 1491 45.15% 28.33% 26.52% +13.9 8
2008-09-07 @ Hvidovre L 0-2 1491 1504 26.52% 28.33% 45.15% -13.9 4
2008-09-07 Herfolge W 3-0 1592 1566 46.82% 28.10% 25.09% +19.3 13
2008-09-07 @ Silkeborg L 0-3 1566 1592 25.09% 28.10% 46.82% -19.3 10
2008-09-07 Lyngby L 0-2 1552 1519 47.86% 27.93% 24.21% -21.7 7
2008-09-07 @ Fredericia W 2-0 1519 1552 24.21% 27.93% 47.86% +21.7 10
2008-09-07 Naestved L 2-5 1489 1468 46.27% 28.18% 25.55% -22.4 5
2008-09-07 @ Skive W 5-2 1468 1489 25.55% 28.18% 46.27% +22.4 5
2008-09-07 Thisted L 1-2 1443 1572 26.22% 28.29% 45.49% -6.9 1
2008-09-07 @ Lolland-Falster Alliancen W 2-1 1572 1443 45.49% 28.29% 26.22% +6.9 13
2008-09-13 Silkeborg W 3-2 1545 1611 34.11% 28.92% 36.97% +8.4 15
2008-09-13 @ Viborg L 2-3 1611 1545 36.97% 28.92% 34.11% -8.4 13
2008-09-14 Fredericia W 3-1 1477 1531 36.00% 28.93% 35.07% +14.8 7
2008-09-14 @ FC Roskilde L 1-3 1531 1477 35.07% 28.93% 36.00% -14.8 7
2008-09-14 FC Amager D 2-2 1547 1556 42.24% 28.65% 29.11% -0.5 11
2008-09-14 @ Herfolge D 2-2 1556 1547 29.11% 28.65% 42.24% +0.5 6
2008-09-14 Hvidovre W 3-2 1539 1518 46.24% 28.18% 25.57% +6.4 12
2008-09-14 @ Akademisk BK L 2-3 1518 1539 25.57% 28.18% 46.24% -6.4 8
2008-09-14 Koge BK W 4-0 1579 1385 65.50% 22.28% 12.22% +12.5 16
2008-09-14 @ Thisted L 0-4 1385 1579 12.22% 22.28% 65.50% -12.5 0
2008-09-14 Kolding FC D 2-2 1490 1432 50.90% 27.33% 21.76% -1.1 6
2008-09-14 @ Naestved D 2-2 1432 1490 21.76% 27.33% 50.90% +1.1 2
2008-09-14 Skive W 3-1 1540 1467 52.73% 26.90% 20.37% +9.6 13
2008-09-14 @ Lyngby L 1-3 1467 1540 20.37% 26.90% 52.73% -9.6 5
2008-09-17 Akademisk BK L 0-1 1556 1545 44.90% 28.36% 26.73% -10.9 6
2008-09-17 @ FC Amager W 1-0 1545 1556 26.73% 28.36% 44.90% +10.9 15
2008-09-17 Viborg L 2-3 1372 1553 20.90% 27.08% 52.02% -5.4 0
2008-09-17 @ Koge BK W 3-2 1553 1372 52.02% 27.08% 20.90% +5.4 18
2008-09-21 Akademisk BK D 2-2 1516 1556 37.84% 28.90% 33.26% -0.2 8
2008-09-21 @ Fredericia D 2-2 1556 1516 33.26% 28.90% 37.84% +0.2 16
2008-09-21 BK Frem Kobenhavn W 3-2 1367 1434 34.01% 28.92% 37.07% +8.5 3
2008-09-21 @ Koge BK L 2-3 1434 1367 37.07% 28.92% 34.01% -8.4 2
2008-09-21 Herfolge L 2-4 1511 1547 38.61% 28.87% 32.52% -14.2 8
2008-09-21 @ Hvidovre W 4-2 1547 1511 32.52% 28.87% 38.61% +14.2 14
2008-09-21 Lyngby L 0-1 1492 1550 35.37% 28.93% 35.70% -9.1 7
2008-09-21 @ FC Roskilde W 1-0 1550 1492 35.70% 28.93% 35.37% +9.1 16
2008-09-21 Naestved L 0-4 1436 1489 36.09% 28.93% 34.98% -33.2 1
2008-09-21 @ Lolland-Falster Alliancen W 4-0 1489 1436 34.98% 28.93% 36.09% +33.2 9
2008-09-21 Skive D 2-2 1433 1457 40.13% 28.80% 31.07% -0.3 3
2008-09-21 @ Kolding FC D 2-2 1457 1433 31.07% 28.80% 40.13% +0.3 6
2008-09-21 Thisted D 2-2 1603 1591 44.98% 28.35% 26.66% -0.7 14
2008-09-21 @ Silkeborg D 2-2 1591 1603 26.66% 28.35% 44.98% +0.7 17
2008-09-21 Viborg L 1-7 1545 1558 41.69% 28.69% 29.62% -44.6 6
2008-09-21 @ FC Amager W 7-1 1558 1545 29.62% 28.69% 41.69% +44.6 21
2008-10-04 FC Amager D 1-1 1592 1501 54.75% 26.36% 18.89% -1.9 18
2008-10-04 @ Thisted D 1-1 1501 1592 18.89% 26.36% 54.75% +1.9 7
2008-10-05 FC Roskilde W 2-0 1557 1483 52.73% 26.90% 20.37% +11.1 19
2008-10-05 @ Akademisk BK L 0-2 1483 1557 20.37% 26.90% 52.73% -11.1 7
2008-10-05 Fredericia W 4-2 1561 1516 49.28% 27.67% 23.05% +9.6 17
2008-10-05 @ Herfolge L 2-4 1516 1561 23.05% 27.67% 49.28% -9.6 8
2008-10-05 Hvidovre D 1-1 1603 1497 56.41% 25.86% 17.73% -2.1 22
2008-10-05 @ Viborg D 1-1 1497 1603 17.73% 25.86% 56.41% +2.1 9
2008-10-05 Koge BK W 5-0 1522 1375 60.83% 24.29% 14.88% +19.1 12
2008-10-05 @ Naestved L 0-5 1375 1522 14.88% 24.29% 60.83% -19.1 3
2008-10-05 Kolding FC D 1-1 1559 1433 58.68% 25.10% 16.22% -2.3 17
2008-10-05 @ Lyngby D 1-1 1433 1559 16.22% 25.10% 58.68% +2.3 4
2008-10-05 Lolland-Falster Alliancen W 3-0 1457 1403 50.44% 27.43% 22.13% +17.3 9
2008-10-05 @ Skive L 0-3 1403 1457 22.13% 27.43% 50.44% -17.3 1
2008-10-05 Silkeborg W 2-1 1426 1602 21.31% 27.20% 51.49% +11.5 5
2008-10-05 @ BK Frem Kobenhavn L 1-2 1602 1426 51.49% 27.20% 21.31% -11.5 14
2008-10-12 Herfolge L 1-2 1472 1570 29.86% 28.71% 41.43% -7.6 7
2008-10-12 @ FC Roskilde W 2-1 1570 1472 41.43% 28.71% 29.86% +7.6 20
2008-10-12 Kolding FC L 0-1 1386 1435 36.60% 28.92% 34.47% -9.4 1
2008-10-12 @ Lolland-Falster Alliancen W 1-0 1435 1386 34.47% 28.92% 36.60% +9.4 7
2008-10-12 Skive L 1-4 1356 1475 27.37% 28.45% 44.17% -17.4 3
2008-10-12 @ Koge BK W 4-1 1475 1356 44.17% 28.45% 27.37% +17.4 12
2008-10-12 Thisted D 0-0 1499 1590 30.86% 28.78% 40.35% +0.5 10
2008-10-12 @ Hvidovre D 0-0 1590 1499 40.35% 28.78% 30.86% -0.5 19
2008-10-12 Viborg L 1-2 1506 1601 30.34% 28.75% 40.91% -7.7 8
2008-10-12 @ Fredericia W 2-1 1601 1506 40.91% 28.75% 30.34% +7.7 25
2008-10-18 Silkeborg L 2-6 1492 1591 29.88% 28.71% 41.41% -20.4 12
2008-10-18 @ Skive W 6-2 1591 1492 41.41% 28.71% 29.88% +20.4 17
2008-10-19 Akademisk BK W 2-0 1578 1568 44.82% 28.37% 26.81% +14.0 23
2008-10-19 @ Herfolge L 0-2 1568 1578 26.81% 28.37% 44.82% -14.0 19
2008-10-19 FC Roskilde L 0-2 1609 1464 60.55% 24.40% 15.04% -26.3 25
2008-10-19 @ Viborg W 2-0 1464 1609 15.04% 24.40% 60.55% +26.3 10
2008-10-19 Fredericia L 2-4 1590 1498 54.76% 26.36% 18.88% -18.8 19
2008-10-19 @ Thisted W 4-2 1498 1590 18.88% 26.36% 54.76% +18.8 11
2008-10-19 FC Amager D 2-2 1541 1503 48.45% 27.82% 23.73% -0.9 13
2008-10-19 @ Naestved D 2-2 1503 1541 23.73% 27.82% 48.45% +0.9 8
2008-10-19 Hvidovre W 2-1 1437 1500 34.67% 28.93% 36.40% +8.8 8
2008-10-19 @ BK Frem Kobenhavn L 1-2 1500 1437 36.40% 28.93% 34.67% -8.8 10
2008-10-19 Koge BK D 0-0 1444 1339 56.41% 25.86% 17.73% -2.3 8
2008-10-19 @ Kolding FC D 0-0 1339 1444 17.73% 25.86% 56.41% +2.3 4
2008-10-19 Lolland-Falster Alliancen W 3-0 1557 1376 64.19% 22.88% 12.93% +10.2 20
2008-10-19 @ Lyngby L 0-3 1376 1557 12.93% 22.88% 64.19% -10.2 1
2008-10-22 BK Frem Kobenhavn D 2-2 1504 1446 50.85% 27.35% 21.81% -1.1 9
2008-10-22 @ FC Amager D 2-2 1446 1504 21.81% 27.35% 50.85% +1.1 9
2008-10-22 Lyngby L 0-1 1554 1567 41.63% 28.70% 29.67% -10.3 19
2008-10-22 @ Akademisk BK W 1-0 1567 1554 29.67% 28.70% 41.63% +10.3 23
2008-10-25 Viborg W 2-1 1543 1582 38.06% 28.89% 33.05% +8.2 22
2008-10-25 @ Akademisk BK L 1-2 1582 1543 33.05% 28.89% 38.06% -8.2 25
2008-10-26 BK Frem Kobenhavn D 2-2 1517 1447 52.33% 27.00% 20.67% -1.2 12
2008-10-26 @ Fredericia D 2-2 1447 1517 20.67% 27.00% 52.33% +1.2 10
2008-10-26 Kolding FC D 2-2 1611 1442 63.07% 23.37% 13.56% -2.0 18
2008-10-26 @ Silkeborg D 2-2 1442 1611 13.56% 23.37% 63.07% +2.0 9
2008-10-26 Lyngby D 1-1 1592 1577 45.39% 28.30% 26.31% -1.0 24
2008-10-26 @ Herfolge D 1-1 1577 1592 26.31% 28.30% 45.39% +1.0 24
2008-10-26 Naestved L 1-2 1491 1540 36.59% 28.92% 34.48% -8.8 10
2008-10-26 @ Hvidovre W 2-1 1540 1491 34.48% 28.92% 36.59% +8.8 16
2008-10-26 Lolland-Falster Alliancen D 1-1 1341 1366 40.00% 28.81% 31.20% -0.4 5
2008-10-26 @ Koge BK D 1-1 1366 1341 31.20% 28.81% 40.00% +0.4 2
2008-10-26 Skive D 2-2 1503 1472 47.48% 27.99% 24.53% -0.9 10
2008-10-26 @ FC Amager D 2-2 1472 1503 24.53% 27.99% 47.48% +0.9 13
2008-10-26 Thisted W 1-0 1491 1571 32.26% 28.86% 38.88% +9.8 13
2008-10-26 @ FC Roskilde L 0-1 1571 1491 38.88% 28.86% 32.26% -9.8 19
2008-11-01 Herfolge L 2-4 1574 1591 41.14% 28.73% 30.13% -14.9 25
2008-11-01 @ Viborg W 4-2 1591 1574 30.13% 28.73% 41.14% +14.9 27
2008-11-02 Akademisk BK D 2-2 1561 1552 44.70% 28.39% 26.91% -0.7 20
2008-11-02 @ Thisted D 2-2 1552 1561 26.91% 28.39% 44.70% +0.7 23
2008-11-02 FC Roskilde W 2-0 1448 1500 36.19% 28.93% 34.88% +17.1 13
2008-11-02 @ BK Frem Kobenhavn L 0-2 1500 1448 34.88% 28.93% 36.19% -17.1 13
2008-11-02 Fredericia W 3-0 1549 1516 47.78% 27.94% 24.28% +18.8 19
2008-11-02 @ Naestved L 0-3 1516 1549 24.28% 27.94% 47.78% -18.8 12
2008-11-02 FC Amager W 3-2 1444 1502 35.37% 28.93% 35.70% +8.2 12
2008-11-02 @ Kolding FC L 2-3 1502 1444 35.70% 28.93% 35.37% -8.2 10
2008-11-02 Hvidovre W 2-0 1473 1482 42.15% 28.65% 29.19% +15.0 16
2008-11-02 @ Skive L 0-2 1482 1473 29.19% 28.65% 42.15% -15.0 10
2008-11-02 Koge BK W 4-0 1578 1341 69.51% 20.30% 10.20% +10.2 27
2008-11-02 @ Lyngby L 0-4 1341 1578 10.20% 20.30% 69.51% -10.2 5
2008-11-02 Silkeborg L 1-2 1367 1609 16.04% 25.00% 58.97% -4.4 2
2008-11-02 @ Lolland-Falster Alliancen W 2-1 1609 1367 58.97% 25.00% 16.04% +4.4 21
2008-11-08 Thisted W 4-1 1606 1560 49.35% 27.66% 22.99% +15.1 30
2008-11-08 @ Herfolge L 1-4 1560 1606 22.99% 27.66% 49.35% -15.1 20
2008-11-09 BK Frem Kobenhavn D 1-1 1552 1465 54.28% 26.49% 19.23% -1.9 24
2008-11-09 @ Akademisk BK D 1-1 1465 1552 19.23% 26.49% 54.28% +1.9 14
2008-11-09 Koge BK D 1-1 1613 1330 73.36% 18.20% 8.44% -3.6 22
2008-11-09 @ Silkeborg D 1-1 1330 1613 8.44% 18.20% 73.36% +3.6 6
2008-11-09 Kolding FC L 1-2 1467 1452 45.44% 28.29% 26.26% -10.4 10
2008-11-09 @ Hvidovre W 2-1 1452 1467 26.26% 28.29% 45.44% +10.4 15
2008-11-09 Lyngby W 3-2 1559 1588 39.43% 28.84% 31.74% +7.5 28
2008-11-09 @ Viborg L 2-3 1588 1559 31.74% 28.84% 39.43% -7.6 27
2008-11-09 Naestved D 1-1 1483 1568 31.67% 28.83% 39.50% +0.4 14
2008-11-09 @ FC Roskilde D 1-1 1568 1483 39.50% 28.83% 31.67% -0.4 20
2008-11-09 Lolland-Falster Alliancen W 2-0 1494 1362 59.20% 24.91% 15.89% +8.8 13
2008-11-09 @ FC Amager L 0-2 1362 1494 15.89% 24.91% 59.20% -8.8 2
2008-11-09 Skive W 4-2 1497 1488 44.72% 28.39% 26.89% +10.9 15
2008-11-09 @ Fredericia L 2-4 1488 1497 26.89% 28.39% 44.72% -10.9 16
2008-11-15 Viborg D 1-1 1545 1567 40.50% 28.78% 30.72% -0.5 21
2008-11-15 @ Thisted D 1-1 1567 1545 30.72% 28.78% 40.50% +0.5 29
2008-11-16 Akademisk BK W 1-0 1568 1550 45.72% 28.26% 26.03% +7.2 23
2008-11-16 @ Naestved L 0-1 1550 1568 26.03% 28.26% 45.72% -7.2 24
2008-11-16 FC Roskilde D 1-1 1477 1484 42.51% 28.62% 28.87% -0.7 17
2008-11-16 @ Skive D 1-1 1484 1477 28.87% 28.62% 42.51% +0.7 15
2008-11-16 Fredericia W 3-1 1463 1508 37.13% 28.91% 33.95% +14.5 18
2008-11-16 @ Kolding FC L 1-3 1508 1463 33.95% 28.91% 37.13% -14.5 15
2008-11-16 FC Amager D 2-2 1334 1502 22.07% 27.42% 50.51% +1.1 7
2008-11-16 @ Koge BK D 2-2 1502 1334 50.51% 27.42% 22.07% -1.1 14
2008-11-16 Herfolge D 0-0 1467 1621 23.51% 27.78% 48.71% +1.4 15
2008-11-16 @ BK Frem Kobenhavn D 0-0 1621 1467 48.71% 27.78% 23.51% -1.4 31
2008-11-16 Hvidovre L 0-2 1353 1457 29.23% 28.66% 42.11% -15.0 2
2008-11-16 @ Lolland-Falster Alliancen W 2-0 1457 1353 42.11% 28.66% 29.23% +15.0 13
2008-11-16 Silkeborg L 0-2 1581 1610 39.47% 28.83% 31.70% -18.7 27
2008-11-16 @ Lyngby W 2-0 1610 1581 31.70% 28.83% 39.47% +18.7 25
2008-11-23 BK Frem Kobenhavn W 4-0 1567 1469 55.61% 26.11% 18.28% +19.0 32
2008-11-23 @ Viborg L 0-4 1469 1567 18.28% 26.11% 55.61% -19.1 15
2008-11-23 Koge BK W 4-0 1472 1335 59.78% 24.70% 15.52% +16.2 16
2008-11-23 @ Hvidovre L 0-4 1335 1472 15.52% 24.70% 59.78% -16.2 7
2008-11-23 Naestved L 0-1 1620 1575 49.25% 27.68% 23.08% -11.8 31
2008-11-23 @ Herfolge W 1-0 1575 1620 23.08% 27.68% 49.25% +11.8 26
2008-11-23 Thisted D 1-1 1562 1545 45.77% 28.25% 25.98% -1.0 28
2008-11-23 @ Lyngby D 1-1 1545 1562 25.98% 28.25% 45.77% +1.0 22
2008-11-29 Naestved W 3-0 1629 1587 48.89% 27.74% 23.36% +18.2 28
2008-11-29 @ Silkeborg L 0-3 1587 1629 23.36% 27.74% 48.89% -18.2 26
2009-03-21 Viborg D 0-0 1647 1586 51.16% 27.28% 21.56% -1.7 29
2009-03-21 @ Silkeborg D 0-0 1586 1647 21.56% 27.28% 51.16% +1.7 33
2009-03-22 Thisted FL 1319 1546 17.14% 25.58% 57.29% +0.0 7
2009-03-22 @ Koge BK FW 1546 1319 57.29% 25.58% 17.14% +0.0 25
2009-03-22 Akademisk BK D 1-1 1488 1543 35.76% 28.93% 35.31% -0.0 17
2009-03-22 @ Hvidovre D 1-1 1543 1488 35.31% 28.93% 35.76% +0.0 25
2009-03-22 FC Roskilde W 3-2 1494 1484 44.67% 28.39% 26.93% +6.7 18
2009-03-22 @ Fredericia L 2-3 1484 1494 26.93% 28.39% 44.67% -6.7 15
2009-03-22 BK Frem Kobenhavn L 0-3 1338 1450 28.28% 28.56% 43.16% -21.2 2
2009-03-22 @ Lolland-Falster Alliancen W 3-0 1450 1338 43.16% 28.56% 28.28% +21.2 18
2009-03-22 Herfolge L 1-2 1501 1608 28.84% 28.62% 42.54% -7.4 14
2009-03-22 @ FC Amager W 2-1 1608 1501 42.54% 28.62% 28.84% +7.4 34
2009-03-22 Lyngby W 1-0 1476 1561 31.60% 28.83% 39.58% +9.9 20
2009-03-22 @ Skive L 0-1 1561 1476 39.58% 28.83% 31.60% -9.9 28
2009-03-22 Naestved D 2-2 1477 1568 30.78% 28.78% 40.44% +0.4 19
2009-03-22 @ Kolding FC D 2-2 1568 1477 40.44% 28.78% 30.78% -0.4 27
2009-03-29 FC Amager FW 1543 1494 49.81% 27.56% 22.63% +0.0 28
2009-03-29 @ Akademisk BK FL 1494 1543 22.63% 27.56% 49.81% +0.0 14
2009-03-29 Koge BK FW 1588 1319 72.21% 18.84% 8.95% +0.0 36
2009-03-29 @ Viborg FL 1319 1588 8.95% 18.84% 72.21% +0.0 7
2009-03-29 Fredericia D 1-1 1551 1500 50.02% 27.52% 22.46% -1.4 29
2009-03-29 @ Lyngby D 1-1 1500 1551 22.46% 27.52% 50.02% +1.4 19
2009-03-29 Hvidovre W 3-1 1478 1488 42.05% 28.66% 29.29% +13.0 18
2009-03-29 @ FC Roskilde L 1-3 1488 1478 29.29% 28.66% 42.05% -13.0 17
2009-03-29 Kolding FC D 2-2 1471 1477 42.55% 28.62% 28.84% -0.5 19
2009-03-29 @ BK Frem Kobenhavn D 2-2 1477 1471 28.84% 28.62% 42.55% +0.5 20
2009-03-29 Lolland-Falster Alliancen W 7-0 1546 1317 68.68% 20.72% 10.59% +18.0 28
2009-03-29 @ Thisted L 0-7 1317 1546 10.59% 20.72% 68.68% -18.0 2
2009-03-29 Silkeborg L 1-3 1615 1645 39.36% 28.84% 31.80% -16.1 34
2009-03-29 @ Herfolge W 3-1 1645 1615 31.80% 28.84% 39.36% +16.1 32
2009-03-29 Skive D 0-0 1568 1486 53.72% 26.65% 19.64% -2.0 28
2009-03-29 @ Naestved D 0-0 1486 1568 19.64% 26.65% 53.72% +2.0 21
2009-04-02 Kolding FC L 0-2 1491 1478 45.14% 28.33% 26.53% -20.7 18
2009-04-02 @ FC Roskilde W 2-0 1478 1491 26.53% 28.33% 45.14% +20.7 23
2009-04-02 Lolland-Falster Alliancen D 1-1 1502 1299 66.30% 21.91% 11.80% -3.0 20
2009-04-02 @ Fredericia D 1-1 1299 1502 11.80% 21.91% 66.30% +3.0 3
2009-04-02 Skive W 3-2 1543 1488 50.51% 27.42% 22.07% +5.6 31
2009-04-02 @ Akademisk BK L 2-3 1488 1543 22.07% 27.42% 50.51% -5.6 21
2009-04-03 Herfolge FL 1319 1599 13.67% 23.46% 62.87% +0.0 7
2009-04-03 @ Koge BK FW 1599 1319 62.87% 23.46% 13.67% +0.0 37
2009-04-04 Lyngby D 1-1 1566 1550 45.58% 28.28% 26.14% -1.0 29
2009-04-04 @ Naestved D 1-1 1550 1566 26.14% 28.28% 45.58% +1.0 30
2009-04-05 FC Roskilde FL 1494 1470 46.58% 28.13% 25.29% +0.0 14
2009-04-05 @ FC Amager FW 1470 1494 25.29% 28.13% 46.58% +0.0 21
2009-04-05 Akademisk BK W 2-0 1661 1549 57.14% 25.62% 17.23% +9.5 35
2009-04-05 @ Silkeborg L 0-2 1549 1661 17.23% 25.62% 57.14% -9.5 31
2009-04-05 Fredericia D 2-2 1475 1499 40.21% 28.79% 31.00% -0.3 18
2009-04-05 @ Hvidovre D 2-2 1499 1475 31.00% 28.79% 40.21% +0.3 21
2009-04-05 BK Frem Kobenhavn L 0-1 1482 1470 45.05% 28.34% 26.60% -11.0 21
2009-04-05 @ Skive W 1-0 1470 1482 26.60% 28.34% 45.05% +11.0 22
2009-04-05 Thisted D 1-1 1499 1564 34.33% 28.92% 36.74% +0.1 24
2009-04-05 @ Kolding FC D 1-1 1564 1499 36.74% 28.92% 34.33% -0.1 29
2009-04-05 Viborg W 3-2 1302 1588 13.36% 23.23% 63.41% +12.9 6
2009-04-05 @ Lolland-Falster Alliancen L 2-3 1588 1302 63.41% 23.23% 13.36% -12.9 36
2009-04-09 FC Amager FW 1499 1494 44.15% 28.45% 27.40% +0.0 24
2009-04-09 @ Fredericia FL 1494 1499 27.40% 28.45% 44.15% +0.0 14
2009-04-09 Koge BK FW 1539 1319 67.96% 21.09% 10.95% +0.0 34
2009-04-09 @ Akademisk BK FL 1319 1539 10.95% 21.09% 67.96% +0.0 7
2009-04-09 Hvidovre W 4-1 1551 1475 53.04% 26.83% 20.14% +13.5 33
2009-04-09 @ Lyngby L 1-4 1475 1551 20.14% 26.83% 53.04% -13.5 18
2009-04-09 Kolding FC W 3-1 1575 1499 53.05% 26.82% 20.13% +9.5 39
2009-04-09 @ Viborg L 1-3 1499 1575 20.13% 26.82% 53.05% -9.5 24
2009-04-09 Naestved D 1-1 1481 1565 31.77% 28.84% 39.39% +0.4 23
2009-04-09 @ BK Frem Kobenhavn D 1-1 1565 1481 39.39% 28.84% 31.77% -0.4 30
2009-04-09 Lolland-Falster Alliancen W 1-0 1599 1315 73.44% 18.15% 8.41% +2.3 40
2009-04-09 @ Herfolge L 0-1 1315 1599 8.41% 18.15% 73.44% -2.3 6
2009-04-09 Silkeborg L 1-2 1470 1671 19.19% 26.48% 54.33% -5.3 21
2009-04-09 @ FC Roskilde W 2-1 1671 1470 54.33% 26.48% 19.19% +5.3 38
2009-04-09 Skive W 3-2 1564 1471 54.89% 26.32% 18.79% +4.9 32
2009-04-09 @ Thisted L 2-3 1471 1564 18.79% 26.32% 54.89% -4.9 21
2009-04-12 Lyngby D 1-1 1482 1564 31.92% 28.84% 39.24% +0.4 24
2009-04-12 @ BK Frem Kobenhavn D 1-1 1564 1482 39.24% 28.84% 31.92% -0.4 34
2009-04-13 FC Roskilde FL 1319 1465 24.33% 27.95% 47.72% +0.0 7
2009-04-13 @ Koge BK FW 1465 1319 47.72% 27.95% 24.33% +0.0 24
2009-04-13 Hvidovre FL 1494 1461 47.70% 27.95% 24.35% +0.0 14
2009-04-13 @ FC Amager FW 1461 1494 24.35% 27.95% 47.70% +0.0 21
2009-04-13 Akademisk BK L 0-1 1313 1539 17.17% 25.59% 57.23% -5.0 6
2009-04-13 @ Lolland-Falster Alliancen W 1-0 1539 1313 57.23% 25.59% 17.17% +5.0 37
2009-04-13 Fredericia L 1-2 1676 1499 63.83% 23.04% 13.13% -13.7 38
2009-04-13 @ Silkeborg W 2-1 1499 1676 13.13% 23.04% 63.83% +13.7 27
2009-04-13 Herfolge L 1-4 1489 1601 28.17% 28.55% 43.28% -17.8 24
2009-04-13 @ Kolding FC W 4-1 1601 1489 43.28% 28.55% 28.17% +17.8 43
2009-04-13 Thisted W 5-3 1565 1568 42.93% 28.58% 28.49% +10.8 33
2009-04-13 @ Naestved L 3-5 1568 1565 28.49% 28.58% 42.93% -10.7 32
2009-04-13 Viborg L 1-3 1467 1585 27.47% 28.46% 44.07% -12.3 21
2009-04-13 @ Skive W 3-1 1585 1467 44.07% 28.46% 27.47% +12.4 42
2009-04-16 Silkeborg FL 1494 1662 22.07% 27.42% 50.51% +0.0 14
2009-04-16 @ FC Amager FW 1662 1494 50.51% 27.42% 22.07% +0.0 41
2009-04-18 Kolding FC W 2-1 1544 1471 52.65% 26.92% 20.43% +5.6 40
2009-04-18 @ Akademisk BK L 1-2 1471 1544 20.43% 26.92% 52.65% -5.6 24
2009-04-18 Skive W 3-1 1619 1454 62.66% 23.55% 13.79% +6.5 46
2009-04-18 @ Herfolge L 1-3 1454 1619 13.79% 23.55% 62.66% -6.5 21
2009-04-19 FC Amager FW 1564 1494 52.33% 27.00% 20.67% +0.0 37
2009-04-19 @ Lyngby FL 1494 1564 20.67% 27.00% 52.33% +0.0 14
2009-04-19 Koge BK FW 1513 1319 65.49% 22.29% 12.22% +0.0 30
2009-04-19 @ Fredericia FL 1319 1513 12.22% 22.29% 65.49% +0.0 7
2009-04-19 BK Frem Kobenhavn D 2-2 1558 1482 52.99% 26.84% 20.17% -1.3 33
2009-04-19 @ Thisted D 2-2 1482 1558 20.17% 26.84% 52.99% +1.3 25
2009-04-19 Naestved L 1-2 1597 1575 46.28% 28.18% 25.54% -10.6 42
2009-04-19 @ Viborg W 2-1 1575 1597 25.54% 28.18% 46.28% +10.5 36
2009-04-19 Lolland-Falster Alliancen W 3-1 1465 1308 61.85% 23.89% 14.27% +6.8 27
2009-04-19 @ FC Roskilde L 1-3 1308 1465 14.27% 23.89% 61.85% -6.8 6
2009-04-19 Silkeborg L 1-2 1461 1662 19.17% 26.47% 54.36% -5.2 21
2009-04-19 @ Hvidovre W 2-1 1662 1461 54.36% 26.47% 19.17% +5.2 44
2009-04-25 Herfolge L 0-2 1586 1626 37.95% 28.89% 33.16% -18.1 36
2009-04-25 @ Naestved W 2-0 1626 1586 33.16% 28.89% 37.95% +18.1 49
2009-04-26 Hvidovre FL 1319 1456 25.27% 28.13% 46.60% +0.0 7
2009-04-26 @ Koge BK FW 1456 1319 46.60% 28.13% 25.27% +0.0 24
2009-04-26 FC Amager FW 1667 1494 63.52% 23.18% 13.30% +0.0 47
2009-04-26 @ Silkeborg FL 1494 1667 13.30% 23.18% 63.52% +0.0 14
2009-04-26 Akademisk BK L 1-5 1448 1550 29.39% 28.67% 41.94% -23.8 21
2009-04-26 @ Skive W 5-1 1550 1448 41.94% 28.67% 29.39% +23.8 43
2009-04-26 FC Roskilde W 4-2 1466 1472 42.68% 28.61% 28.71% +11.4 27
2009-04-26 @ Kolding FC L 2-4 1472 1466 28.71% 28.61% 42.68% -11.4 27
2009-04-26 Fredericia L 0-2 1301 1513 18.29% 26.11% 55.59% -10.0 6
2009-04-26 @ Lolland-Falster Alliancen W 2-0 1513 1301 55.59% 26.11% 18.29% +10.0 33
2009-04-26 Lyngby L 1-3 1556 1564 42.43% 28.63% 28.94% -17.1 33
2009-04-26 @ Thisted W 3-1 1564 1556 28.94% 28.63% 42.43% +17.1 40
2009-04-28 FC Amager FW 1586 1494 54.93% 26.31% 18.76% +0.0 45
2009-04-28 @ Viborg FL 1494 1586 18.76% 26.31% 54.93% +0.0 14
2009-04-28 Koge BK FW 1483 1319 62.61% 23.57% 13.82% +0.0 28
2009-04-28 @ BK Frem Kobenhavn FL 1319 1483 13.82% 23.57% 62.61% +0.0 7
2009-05-02 Lyngby W 1-0 1667 1581 54.22% 26.51% 19.27% +5.6 50
2009-05-02 @ Silkeborg L 0-1 1581 1667 19.27% 26.51% 54.22% -5.6 40
2009-05-02 Thisted W 2-0 1586 1539 49.51% 27.62% 22.87% +12.3 48
2009-05-02 @ Viborg L 0-2 1539 1586 22.87% 27.62% 49.51% -12.3 33
2009-05-03 Koge BK FL 1494 1319 63.66% 23.12% 13.23% +0.0 14
2009-05-03 @ FC Amager FL 1319 1494 13.23% 23.12% 63.66% +0.0 7
2009-05-03 BK Frem Kobenhavn W 3-0 1644 1483 62.22% 23.73% 14.05% +11.2 52
2009-05-03 @ Herfolge L 0-3 1483 1644 14.05% 23.73% 62.22% -11.2 28
2009-05-03 Kolding FC W 4-0 1523 1477 49.33% 27.66% 23.01% +23.4 36
2009-05-03 @ Fredericia L 0-4 1477 1523 23.01% 27.66% 49.33% -23.4 27
2009-05-03 Naestved W 2-1 1574 1568 44.22% 28.45% 27.34% +7.1 46
2009-05-03 @ Akademisk BK L 1-2 1568 1574 27.34% 28.45% 44.22% -7.1 36
2009-05-03 Lolland-Falster Alliancen W 4-2 1456 1291 62.66% 23.55% 13.79% +5.8 27
2009-05-03 @ Hvidovre L 2-4 1291 1456 13.79% 23.55% 62.66% -5.8 6
2009-05-03 Skive W 2-0 1460 1424 48.17% 27.87% 23.96% +12.8 30
2009-05-03 @ FC Roskilde L 0-2 1424 1460 23.96% 27.87% 48.17% -12.8 21
2009-05-09 Viborg L 0-1 1575 1599 40.28% 28.79% 30.94% -10.0 40
2009-05-09 @ Lyngby W 1-0 1599 1575 30.94% 28.79% 40.28% +10.1 51
2009-05-10 Silkeborg FL 1319 1673 10.06% 20.15% 69.79% +0.0 7
2009-05-10 @ Koge BK FW 1673 1319 69.79% 20.15% 10.06% +0.0 53
2009-05-10 FC Amager FW 1285 1494 18.54% 26.22% 55.25% +0.0 9
2009-05-10 @ Lolland-Falster Alliancen FL 1494 1285 55.25% 26.22% 18.54% +0.0 14
2009-05-10 Akademisk BK L 0-3 1472 1581 28.59% 28.59% 42.82% -21.4 28
2009-05-10 @ BK Frem Kobenhavn W 3-0 1581 1472 42.82% 28.59% 28.59% +21.4 49
2009-05-10 FC Roskilde W 4-3 1561 1473 54.40% 26.46% 19.14% +4.8 39
2009-05-10 @ Naestved L 3-4 1473 1561 19.14% 26.46% 54.40% -4.8 30
2009-05-10 Fredericia W 2-1 1411 1546 25.51% 28.17% 46.32% +10.6 24
2009-05-10 @ Skive L 1-2 1546 1411 46.32% 28.17% 25.51% -10.6 36
2009-05-10 Herfolge L 0-3 1527 1655 26.31% 28.30% 45.38% -20.0 33
2009-05-10 @ Thisted W 3-0 1655 1527 45.38% 28.30% 26.31% +20.0 55
2009-05-10 Hvidovre L 2-3 1454 1462 42.37% 28.63% 29.00% -9.3 27
2009-05-10 @ Kolding FC W 3-2 1462 1454 29.00% 28.63% 42.37% +9.3 30
2009-05-16 Viborg W 4-0 1675 1609 51.88% 27.11% 21.01% +21.7 58
2009-05-16 @ Herfolge L 0-4 1609 1675 21.01% 27.11% 51.88% -21.6 51
2009-05-17 Kolding FC FL 1494 1445 49.80% 27.57% 22.64% +0.0 14
2009-05-17 @ FC Amager FW 1445 1494 22.64% 27.57% 49.80% +0.0 30
2009-05-17 Lyngby FL 1319 1565 15.76% 24.84% 59.41% +0.0 7
2009-05-17 @ Koge BK FW 1565 1319 59.41% 24.84% 15.76% +0.0 43
2009-05-17 BK Frem Kobenhavn W 4-1 1468 1451 45.74% 28.25% 26.01% +16.7 33
2009-05-17 @ FC Roskilde L 1-4 1451 1468 26.01% 28.25% 45.74% -16.7 28
2009-05-17 Naestved D 0-0 1536 1566 39.33% 28.84% 31.83% -0.4 37
2009-05-17 @ Fredericia D 0-0 1566 1536 31.83% 28.84% 39.33% +0.4 40
2009-05-17 Lolland-Falster Alliancen W 5-1 1673 1285 81.05% 13.58% 5.38% +3.9 56
2009-05-17 @ Silkeborg L 1-5 1285 1673 5.38% 13.58% 81.05% -3.9 9
2009-05-17 Skive D 1-1 1471 1422 49.83% 27.56% 22.61% -1.4 31
2009-05-17 @ Hvidovre D 1-1 1422 1471 22.61% 27.56% 49.83% +1.4 25
2009-05-17 Thisted W 4-0 1602 1507 55.21% 26.23% 18.56% +19.3 52
2009-05-17 @ Akademisk BK L 0-4 1507 1602 18.56% 26.23% 55.21% -19.3 33
2009-05-20 Akademisk BK L 0-2 1587 1621 38.70% 28.87% 32.43% -18.4 51
2009-05-20 @ Viborg W 2-0 1621 1587 32.43% 28.87% 38.70% +18.4 55
2009-05-23 Silkeborg L 1-4 1445 1677 16.74% 25.38% 57.88% -11.3 30
2009-05-23 @ Kolding FC W 4-1 1677 1445 57.88% 25.38% 16.74% +11.3 59
2009-05-24 FC Amager FW 1423 1494 33.55% 28.91% 37.55% +0.0 28
2009-05-24 @ Skive FL 1494 1423 37.55% 28.91% 33.55% +0.0 14
2009-05-24 Koge BK FW 1281 1319 38.26% 28.88% 32.85% +0.0 12
2009-05-24 @ Lolland-Falster Alliancen FL 1319 1281 32.85% 28.88% 38.26% +0.0 7
2009-05-24 FC Roskilde W 4-0 1488 1485 43.85% 28.49% 27.66% +27.2 36
2009-05-24 @ Thisted L 0-4 1485 1488 27.66% 28.49% 43.85% -27.2 33
2009-05-24 Fredericia D 0-0 1434 1535 29.51% 28.68% 41.81% +0.7 29
2009-05-24 @ BK Frem Kobenhavn D 0-0 1535 1434 41.81% 28.68% 29.51% -0.7 38
2009-05-24 Herfolge D 0-0 1565 1697 25.93% 28.24% 45.83% +1.1 44
2009-05-24 @ Lyngby D 0-0 1697 1565 45.83% 28.24% 25.93% -1.1 59
2009-05-24 Hvidovre W 3-0 1566 1470 55.35% 26.19% 18.47% +14.7 43
2009-05-24 @ Naestved L 0-3 1470 1566 18.47% 26.19% 55.35% -14.7 31
2009-05-28 Kolding FC FL 1319 1433 27.89% 28.51% 43.60% +0.0 7
2009-05-28 @ Koge BK FW 1433 1319 43.60% 28.51% 27.89% +0.0 33
2009-05-28 Naestved FL 1494 1581 31.35% 28.82% 39.83% +0.0 14
2009-05-28 @ FC Amager FW 1581 1494 39.83% 28.82% 31.35% +0.0 46
2009-05-28 BK Frem Kobenhavn W 3-0 1455 1435 46.14% 28.20% 25.66% +19.6 34
2009-05-28 @ Hvidovre L 0-3 1435 1455 25.66% 28.20% 46.14% -19.6 29
2009-05-28 Lyngby L 0-3 1281 1567 13.39% 23.25% 63.36% -10.6 12
2009-05-28 @ Lolland-Falster Alliancen W 3-0 1567 1281 63.36% 23.25% 13.39% +10.6 47
2009-05-28 Skive W 2-1 1688 1423 71.87% 19.03% 9.10% +2.3 62
2009-05-28 @ Silkeborg L 1-2 1423 1688 9.10% 19.03% 71.87% -2.3 28
2009-05-28 Thisted W 3-0 1535 1515 46.03% 28.21% 25.75% +19.7 41
2009-05-28 @ Fredericia L 0-3 1515 1535 25.75% 28.21% 46.03% -19.7 36
2009-05-28 Viborg W 2-0 1458 1569 28.29% 28.56% 43.15% +20.0 36
2009-05-28 @ FC Roskilde L 0-2 1569 1458 43.15% 28.56% 28.29% -20.0 51
2009-06-01 FC Amager FW 1415 1494 32.45% 28.87% 38.68% +0.0 32
2009-06-01 @ BK Frem Kobenhavn FL 1494 1415 38.68% 28.87% 32.45% +0.0 14
2009-06-01 Koge BK FW 1421 1319 55.99% 25.99% 18.02% +0.0 31
2009-06-01 @ Skive FL 1319 1421 18.02% 25.99% 55.99% +0.0 7
2009-06-01 Akademisk BK L 0-2 1577 1640 34.67% 28.93% 36.40% -17.0 47
2009-06-01 @ Lyngby W 2-0 1640 1577 36.40% 28.93% 34.67% +17.0 58
2009-06-01 FC Roskilde W 5-0 1696 1477 67.74% 21.20% 11.06% +13.8 62
2009-06-01 @ Herfolge L 0-5 1477 1696 11.06% 21.20% 67.74% -13.8 36
2009-06-01 Fredericia L 1-3 1549 1554 42.69% 28.61% 28.71% -17.2 51
2009-06-01 @ Viborg W 3-1 1554 1549 28.71% 28.61% 42.69% +17.2 44
2009-06-01 Hvidovre L 0-1 1495 1475 46.17% 28.19% 25.64% -11.2 36
2009-06-01 @ Thisted W 1-0 1475 1495 25.64% 28.19% 46.17% +11.2 37
2009-06-01 Lolland-Falster Alliancen W 1-0 1433 1271 62.43% 23.65% 13.93% +4.0 36
2009-06-01 @ Kolding FC L 0-1 1271 1433 13.93% 23.65% 62.43% -4.0 12
2009-06-01 Silkeborg L 1-2 1581 1691 28.45% 28.58% 42.97% -7.3 46
2009-06-01 @ Naestved W 2-1 1691 1581 42.97% 28.58% 28.45% +7.3 65
2009-06-07 Naestved FL 1319 1573 15.23% 24.52% 60.24% +0.0 7
2009-06-07 @ Koge BK FW 1573 1319 60.24% 24.52% 15.23% +0.0 49
2009-06-07 Thisted FL 1494 1484 44.73% 28.39% 26.88% +0.0 14
2009-06-07 @ FC Amager FW 1484 1494 26.88% 28.39% 44.73% +0.0 39
2009-06-07 Akademisk BK L 2-4 1464 1657 19.82% 26.71% 53.47% -8.4 36
2009-06-07 @ FC Roskilde W 4-2 1657 1464 53.47% 26.71% 19.82% +8.4 61
2009-06-07 BK Frem Kobenhavn D 2-2 1698 1415 73.34% 18.21% 8.45% -2.6 66
2009-06-07 @ Silkeborg D 2-2 1415 1698 8.45% 18.21% 73.34% +2.7 33
2009-06-07 Herfolge L 1-2 1571 1709 25.19% 28.12% 46.69% -6.7 44
2009-06-07 @ Fredericia W 2-1 1709 1571 46.69% 28.12% 25.19% +6.7 65
2009-06-07 Skive W 5-1 1267 1421 23.48% 27.77% 48.75% +34.8 15
2009-06-07 @ Lolland-Falster Alliancen L 1-5 1421 1267 48.75% 27.77% 23.48% -34.8 31
2009-06-07 Viborg W 3-0 1486 1532 37.11% 28.91% 33.97% +24.3 40
2009-06-07 @ Hvidovre L 0-3 1532 1486 33.97% 28.91% 37.11% -24.3 51
2009-06-10 Herfolge L 0-4 1665 1716 36.37% 28.93% 34.70% -33.4 61
2009-06-10 @ Akademisk BK W 4-0 1716 1665 34.70% 28.93% 36.37% +33.3 68
2009-06-10 Lolland-Falster Alliancen W 4-0 1418 1301 57.58% 25.48% 16.94% +17.7 36
2009-06-10 @ BK Frem Kobenhavn L 0-4 1301 1418 16.94% 25.48% 57.58% -17.7 15
2009-06-11 Lyngby L 1-4 1437 1560 26.90% 28.39% 44.72% -17.2 36
2009-06-11 @ Kolding FC W 4-1 1560 1437 44.72% 28.39% 26.90% +17.2 50
2009-06-13 Lolland-Falster Alliancen W 1-0 1573 1284 73.90% 17.89% 8.21% +2.2 52
2009-06-13 @ Naestved L 0-1 1284 1573 8.21% 17.89% 73.90% -2.2 15
2009-06-14 FC Roskilde L 2-3 1577 1455 58.20% 25.27% 16.53% -12.1 50
2009-06-14 @ Lyngby W 3-2 1455 1577 16.53% 25.27% 58.20% +12.1 39
2009-06-14 Fredericia L 1-2 1632 1565 51.97% 27.09% 20.94% -11.6 61
2009-06-14 @ Akademisk BK W 2-1 1565 1632 20.94% 27.09% 51.97% +11.6 47
2009-06-14 Hvidovre W 3-2 1749 1510 69.64% 20.23% 10.13% +2.5 71
2009-06-14 @ Herfolge L 2-3 1510 1749 10.13% 20.23% 69.64% -2.5 40
2009-06-14 Kolding FC W 3-0 1386 1420 38.74% 28.87% 32.40% +23.5 34
2009-06-14 @ Skive L 0-3 1420 1386 32.40% 28.87% 38.74% -23.5 36
2009-06-14 Silkeborg L 1-2 1484 1695 18.34% 26.13% 55.53% -5.0 39
2009-06-14 @ Thisted W 2-1 1695 1484 55.53% 26.13% 18.34% +5.0 69
2009-06-14 Viborg L 0-6 1435 1507 33.40% 28.90% 37.70% -45.9 36
2009-06-14 @ BK Frem Kobenhavn W 6-0 1507 1435 37.70% 28.90% 33.40% +45.9 54

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 2009-04-13 13.13% Fredericia 1499 2 @ Silkeborg 1676 1
2 2009-04-05 13.36% @ Lolland-Falster Alliancen 1302 3 Viborg 1588 2
3 2008-10-19 15.04% FC Roskilde 1464 2 @ Viborg 1609 0
4 2009-06-14 16.53% FC Roskilde 1455 3 @ Lyngby 1577 2
5 2008-10-19 18.88% Fredericia 1498 4 @ Thisted 1590 2
6 2009-06-14 20.94% Fredericia 1565 2 @ Akademisk BK 1632 1
7 2008-10-05 21.31% @ BK Frem Kobenhavn 1426 2 Silkeborg 1602 1
8 2008-08-09 21.52% Lyngby 1489 3 @ FC Amager 1550 0
9 2008-11-23 23.08% Naestved 1575 1 @ Herfolge 1620 0
10 2009-06-07 23.48% @ Lolland-Falster Alliancen 1267 5 Skive 1421 1
11 2008-09-07 24.21% Lyngby 1519 2 @ Fredericia 1552 0
12 2009-05-10 25.51% @ Skive 1411 2 Fredericia 1546 1
13 2009-04-19 25.54% Naestved 1575 2 @ Viborg 1597 1
14 2008-09-07 25.55% Naestved 1468 5 @ Skive 1489 2
15 2009-06-01 25.64% Hvidovre 1475 1 @ Thisted 1495 0
16 2008-11-09 26.26% Kolding FC 1452 2 @ Hvidovre 1467 1
17 2008-08-31 26.38% FC Amager 1517 4 @ FC Roskilde 1531 0
18 2009-04-02 26.53% Kolding FC 1478 2 @ FC Roskilde 1491 0
19 2009-04-05 26.60% BK Frem Kobenhavn 1470 1 @ Skive 1482 0
20 2008-09-17 26.73% Akademisk BK 1545 1 @ FC Amager 1556 0
21 2008-08-10 27.06% Akademisk BK 1500 4 @ Kolding FC 1508 0
22 2009-05-28 28.29% @ FC Roskilde 1458 2 Viborg 1569 0
23 2008-08-17 28.48% Silkeborg 1549 2 @ Fredericia 1545 1
24 2009-06-01 28.71% Fredericia 1554 3 @ Viborg 1549 1
25 2008-08-31 28.92% Skive 1465 4 @ BK Frem Kobenhavn 1458 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 2009-06-14 45.92 Viborg 6 1507 37.70% @ BK Frem Kobenhavn 0 1435 33.40% 28.90%
2 2008-09-21 44.57 Viborg 7 1558 29.62% @ FC Amager 1 1545 41.69% 28.69%
3 2008-08-31 39.38 FC Amager 4 1517 26.38% @ FC Roskilde 0 1531 45.30% 28.31%
4 2008-08-10 38.85 Akademisk BK 4 1500 27.06% @ Kolding FC 0 1508 44.53% 28.41%
5 2009-06-07 34.81 @ Lolland-Falster Alliancen 5 1267 23.48% Skive 1 1421 48.75% 27.77%
6 2009-06-10 33.35 Herfolge 4 1716 34.70% @ Akademisk BK 0 1665 36.37% 28.93%
7 2008-08-09 33.29 Lyngby 3 1489 21.52% @ FC Amager 0 1550 51.22% 27.26%
8 2008-09-21 33.16 Naestved 4 1489 34.98% @ Lolland-Falster Alliancen 0 1436 36.09% 28.93%
9 2009-05-24 27.22 @ Thisted 4 1488 43.85% FC Roskilde 0 1485 27.66% 28.49%
10 2008-10-19 26.30 FC Roskilde 2 1464 15.04% @ Viborg 0 1609 60.55% 24.40%
11 2009-06-07 24.31 @ Hvidovre 3 1486 37.11% Viborg 0 1532 33.97% 28.91%
12 2008-08-31 24.16 Skive 4 1465 28.92% @ BK Frem Kobenhavn 1 1458 42.46% 28.63%
13 2008-08-10 24.11 Fredericia 3 1521 37.52% @ Koge BK 0 1450 33.57% 28.91%
14 2009-04-26 23.77 Akademisk BK 5 1550 41.94% @ Skive 1 1448 29.39% 28.67%
15 2009-06-14 23.48 @ Skive 3 1386 38.74% Kolding FC 0 1420 32.40% 28.87%
16 2009-05-03 23.43 @ Fredericia 4 1523 49.33% Kolding FC 0 1477 23.01% 27.66%
17 2008-08-31 22.65 @ Herfolge 8 1544 59.73% Koge BK 1 1407 15.56% 24.72%
18 2008-09-07 22.39 Naestved 5 1468 25.55% @ Skive 2 1489 46.27% 28.18%
19 2008-09-07 21.68 Lyngby 2 1519 24.21% @ Fredericia 0 1552 47.86% 27.93%
20 2009-05-16 21.65 @ Herfolge 4 1675 51.88% Viborg 0 1609 21.01% 27.11%
21 2009-05-10 21.37 Akademisk BK 3 1581 42.82% @ BK Frem Kobenhavn 0 1472 28.59% 28.59%
22 2009-03-22 21.20 BK Frem Kobenhavn 3 1450 43.16% @ Lolland-Falster Alliancen 0 1338 28.28% 28.56%
23 2009-04-02 20.69 Kolding FC 2 1478 26.53% @ FC Roskilde 0 1491 45.14% 28.33%
24 2008-10-18 20.43 Silkeborg 6 1591 41.41% @ Skive 2 1492 29.88% 28.71%
25 2009-05-10 20.03 Herfolge 3 1655 45.38% @ Thisted 0 1527 26.31% 28.30%