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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

19.25 points above expected

71 points · 51.75 expected points

Biggest Disappointment

Lolland-Falster Alliancen

14.02 points below expected

15 points · 29.02 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 51.75 +19.25
2 Silkeborg Promoted 30 21 6 3 69 59 27 +32 57.42 +11.58
3 Akademisk BK 30 19 4 7 61 50 30 +20 47.13 +13.87
4 Viborg 30 17 3 10 54 53 40 +13 48.87 +5.13
5 Naestved 30 14 10 6 52 49 34 +15 47.62 +4.38
6 Lyngby 30 14 8 8 50 44 26 +18 47.45 +2.55
7 Fredericia 30 13 8 9 47 52 43 +9 46.02 +0.98
8 Hvidovre 30 11 7 12 40 45 46 -1 42.97 -2.97
9 Thisted 30 10 9 11 39 48 49 -1 48.01 -9.01
10 FC Roskilde 30 12 3 15 39 39 53 -14 40.10 -1.10
11 BK Frem Kobenhavn 30 8 12 10 36 35 53 -18 37.71 -1.71
12 Kolding FC 30 9 9 12 36 39 59 -20 39.79 -3.79
13 Skive 30 9 7 14 34 43 57 -14 40.16 -6.16
14 Lolland-Falster Alliancen Relegated 30 4 3 23 15 19 66 -47 29.02 -14.02
15 FC Amager* Relegated 30 2 8 20 11 24 30 -6 23.64 -12.64
16 Koge BK* Relegated 30 1 4 25 4 11 44 -33 14.34 -10.34

* 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.

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 51.75 +19.25
2 Akademisk BK 61 47.13 +13.87
3 Silkeborg 69 57.42 +11.58
4 Viborg 54 48.87 +5.13
5 Naestved 52 47.62 +4.38

Biggest Disappointments

# Team Actual Sim vsSim
1 Lolland-Falster Alliancen 15 29.02 -14.02
2 FC Amager 11 23.64 -12.64
3 Koge BK 4 14.34 -10.34
4 Thisted 39 48.01 -9.01
5 Skive 34 40.16 -6.16

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 Akademisk BK 10 Apr 9 – Jun 7 1 in 1,756
2 Viborg 7 Aug 10 – Sep 21 1 in 664
3 Herfolge 8 Apr 3 – May 16 1 in 164
4 Silkeborg 9 Apr 16 – Jun 1 1 in 104
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 1,877
2 Lolland-Falster Alliancen 8 Aug 17 – Oct 19 1 in 531
3 Skive 7 Apr 2 – May 3 1 in 244
4 Viborg 5 May 16 – Jun 7 1 in 198
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 1,873
2 Naestved 12 Aug 27 – Nov 23 1 in 127
3 BK Frem Kobenhavn 7 Oct 5 – Nov 16 1 in 90
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 3,488
2 Koge BK 23 Oct 5 – Jun 7 1 in 111
3 Thisted 9 Sep 21 – Nov 23 1 in 95
4 Lolland-Falster Alliancen 16 Aug 10 – Apr 2 1 in 90
5 Hvidovre 8 Sep 14 – Nov 9 1 in 25

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
Herfolge 1759 68 +55 13 9.2 +3.8
Silkeborg 1708 60 +23 13 10.2 +2.8
Akademisk BK 1628 55 -1 9 7.7 +1.3
Viborg 1561 48 -34 3 7.3 -4.3
Naestved 1583 46 +15 10 8.6 +1.4
Lyngby 1573 44 +0 7 8.1 -1.1
Fredericia 1584 41 +41 10 6.3 +3.7
Hvidovre 1515 34 +38 9 5.4 +3.6
FC Roskilde 1474 33 -17 6 4.4 +1.6
Thisted 1486 33 -28 3 5.9 -2.9
BK Frem Kobenhavn 1397 30 -45 5 5.9 -0.9
Kolding FC 1404 30 -57 3 6.8 -3.8
Skive 1417 28 -2 7 5.7 +1.3
FC Amager 1501 14 -9 5 8.0 -3.0
Lolland-Falster Alliancen 1289 9 +0 3 3.5 -0.5
Koge BK 1326 7 -22 3 4.1 -1.1

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
3.73
0-1-1
3.12
0-0-2
2.47
1-1-0
3.02
2-0-0
3.88
2-0-0
2.95
2-0-0
3.82
1-0-1
2.92
1-0-1
2.67
0-0-2
2.31
2-0-0
3.34
1-1-0
3.02
2-0-0
2.69
BK Frem Kobenhavn
0-1-1
1.98
 —
1-1-0
2.19
1-0-1
2.45
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
2.24
0-0-2
2.10
FC Amager
0-0-2
2.58
0-1-1
3.25
 —
1-0-1
2.76
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
2.98
1-0-1
2.68
 —
1-0-1
2.45
0-0-2
1.72
1-0-1
2.62
2-0-0
3.68
0-0-2
2.78
1-1-0
3.50
1-0-1
2.09
0-1-1
2.07
0-0-2
1.90
1-1-0
2.87
1-0-1
2.37
2-0-0
1.82
Fredericia
1-1-0
2.32
0-2-0
3.38
1-1-0
2.81
1-0-1
2.97
 —
0-0-2
2.00
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
2.47
1-0-1
2.20
1-0-1
3.30
2-0-0
2.50
1-0-1
2.34
Herfolge
2-0-0
2.96
1-1-0
3.84
1-1-0
3.12
2-0-0
3.78
2-0-0
3.44
 —
2-0-0
3.55
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
3.41
2-0-0
3.02
Hvidovre
0-1-1
2.41
1-0-1
3.05
1-1-0
2.57
1-0-1
2.81
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
2.27
1-1-0
2.19
Koge BK
0-0-2
1.63
1-0-1
1.96
0-2-0
1.57
0-0-2
1.79
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
2.73
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
1.97
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
1.60
1-0-1
1.49
Lyngby
1-0-1
2.51
1-1-0
3.25
2-0-0
2.76
1-0-1
3.37
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
2.31
1-0-1
3.33
1-1-0
2.82
0-0-2
2.74
Naestved
1-0-1
2.76
0-2-0
3.10
1-1-0
3.22
1-1-0
3.38
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
3.74
0-2-0
2.59
 —
0-0-2
2.12
1-1-0
2.93
1-0-1
2.46
1-0-1
2.59
Silkeborg
2-0-0
3.15
0-1-1
4.20
2-0-0
3.93
2-0-0
3.55
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
3.57
0-1-1
3.21
Skive
0-0-2
2.10
1-0-1
2.79
1-1-0
2.31
0-1-1
2.57
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
2.52
0-0-2
1.65
 —
0-1-1
2.00
0-0-2
2.09
Thisted
0-1-1
2.44
1-1-0
3.20
1-1-0
2.99
1-0-1
3.05
0-0-2
2.96
0-0-2
2.03
0-1-1
3.16
2-0-0
4.16
1-1-0
3.41
2-0-0
3.91
0-1-1
2.61
1-0-1
2.98
0-1-1
1.89
1-1-0
3.45
 —
0-1-1
2.46
Viborg
0-0-2
2.73
2-0-0
3.35
2-0-0
3.09
0-0-2
3.65
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
2.98
 —

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

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 1759 71 51.75 +19.25 100.0% 37 41 47 52 56 62 70
Silkeborg 1708 69 57.42 +11.58 98.0% 38 46 53 58 62 66 76
Akademisk BK 1628 61 47.13 +13.87 98.0% 32 35 42 47 52 57 63
Fredericia 1584 47 46.02 +0.98 60.0% 30 35 41 45 51 57 64
Naestved 1583 52 47.62 +4.38 79.0% 35 37 43 47 52 57 60
Lyngby 1573 50 47.45 +2.55 62.0% 29 34 42 48 52 59 66
Viborg 1561 54 48.87 +5.13 86.0% 28 39 45 49 53 57 61
Hvidovre 1515 40 42.97 -2.97 38.0% 30 33 37 43 48 52 59
FC Amager 1501 11 23.64 -12.64 1.0% 14 16 20 24 26 31 33
Thisted 1486 39 48.01 -9.01 7.0% 33 39 44 48 52 58 63
FC Roskilde 1474 39 40.10 -1.10 48.0% 28 30 36 40 43 51 60
Skive 1417 34 40.16 -6.16 19.0% 29 30 36 40 44 50 53
Kolding FC 1404 36 39.79 -3.79 31.0% 27 31 36 39 44 49 61
BK Frem Kobenhavn 1397 36 37.71 -1.71 41.0% 24 29 34 38 41 45 58
Koge BK 1326 4 14.34 -10.34 7.0% 4 7 11 14 18 22 27
Lolland-Falster Alliancen 1289 15 29.02 -14.02 0.0% 16 20 26 29 32 40 43

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 11.5% * Slight Edge: 11.5% to 19% * Clear Edge: 19% to 28.5% * Strong Edge: 28.5% 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
+6.67%
No 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 3 * Open: 3 to 4 * Wide Open: 4 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 0.06 * Tight Race: 0.06 to 0.13 * Comfortable: 0.13 to 0.24 * Runaway: 0.24 and up.
Title-Race Openness
3.7
Open
123410
Champion Preseason Odds
14%
Herfolge, 2nd of 16
LongshotFavorite
Title Margin
Expected
0.07/gm
Tight Race
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 4.8 * Some Luck: 4.8 to 7.19 * Lucky: 7.19 to 9.59 * Wild Swing: 9.59 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 1.69 * Close: 1.69 to 2.53 * Off: 2.53 to 3.38 * Way Off: 3.38 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
8.80 points
Lucky
06.0015
Average Finish Error
Expected
1.25
Pinpoint
02.115
Biggest Overachiever
Expected 96.88%
100.00%
Herfolge
50100
Biggest Underachiever
Expected 3.12%
0.00%
Lolland-Falster Alliancen
050
Season Outliers
Expected
5 of 16
Minimal Outliers
01.68
Unexpected Relegations
Expected
0 of 3
As Expected
00.23

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 0.13 * Even: 0.13 to 0.17 * Top-Heavy: 0.17 to 0.2 * Lopsided: 0.2 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 1.5 * Moderate Separation: 1.5 to 1.8 * Strong Separation: 1.8 to 2.15 * Wide Separation: 2.15 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 63.5% * Slight Edge: 63.5% to 68% * Clear Edge: 68% to 74.5% * Wide Edge: 74.5% 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 85% * Clear Edge: 85% to 91% * Strong Edge: 91% to 95% * Dominant: 95% 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 54.5% * Some Drama: 54.5% to 60% * Frequent: 60% to 65% * Very Frequent: 65% 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 14.5% * Occasional: 14.5% to 18.5% * Frequent: 18.5% to 23.5% * Very Frequent: 23.5% and up.
Gini Index
0.25
Lopsided
00.130.20.5
Noll-Scully
Elo SD: 129.00
2.63
Wide Separation
0.751.51.82.153
Interquartile Edge
73%
Clear Edge
50%63.5%74.5%100%
Best vs. Worst
Baseline 94%
94%
Strong Edge
50%100%
Close Games
Expected
59%
Some Drama
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 0.34 * Slight Separation: 0.34 to 0.42 * Notable Separation: 0.42 to 0.51 * Lopsided: 0.51 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 0.57 * Strong Carryover: 0.57 to 0.7 * Near-Lock: 0.7 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 18% * As Expected: 18% to 22% * Upset-Prone: 22% to 25% * Very Upset-Prone: 25% 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 15.5% * As Expected: 15.5% to 18.5% * Shaky Favorites: 18.5% to 22% * Very Shaky: 22% and up.
Brier Score
Expected
0.58
Predictable
00.622
Matchup Imbalance
0.33
Very Even
00.340.420.5
Strangeness
Expected
2.33
Chaotic
01.002
Repeatability
0.35
Weak Carryover
00.380.570.71
Upset Rate
Expected
23%
Upset-Prone
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
0.15
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.66
Very Underconfident
0.1473241.001.85268
Calibration error (ECE)
Noise ceiling
0.096
Well Within Noise
00.1070.25

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
Herfolge14.00%19.00%14.00%17.00%11.00%10.00%3.00%5.00%2.00%2.00%3.00%—————
Silkeborg48.00%29.00%9.00%3.00%3.00%3.00%2.00%—2.00%—1.00%—————
Akademisk BK3.00%9.00%12.00%10.00%10.00%9.00%12.00%12.00%4.00%2.00%7.00%6.00%3.00%1.00%——
Viborg5.00%9.00%14.00%18.00%13.00%14.00%5.00%6.00%9.00%2.00%3.00%1.00%—1.00%——
Naestved6.00%6.00%12.00%8.00%14.00%15.00%13.00%7.00%3.00%6.00%5.00%4.00%1.00%———
Lyngby6.00%11.00%8.00%13.00%12.00%10.00%9.00%4.00%6.00%7.00%8.00%3.00%3.00%———
Fredericia7.00%4.00%8.00%7.00%9.00%11.00%13.00%6.00%10.00%6.00%10.00%7.00%2.00%———
Hvidovre1.00%3.00%5.00%8.00%9.00%6.00%10.00%8.00%11.00%8.00%8.00%12.00%8.00%2.00%1.00%—
Thisted4.00%7.00%14.00%12.00%7.00%14.00%12.00%12.00%7.00%4.00%3.00%2.00%2.00%———
FC Roskilde1.00%3.00%2.00%—6.00%1.00%4.00%11.00%8.00%16.00%16.00%14.00%13.00%4.00%1.00%—
BK Frem Kobenhavn2.00%————1.00%3.00%4.00%9.00%20.00%15.00%16.00%22.00%7.00%1.00%—
Kolding FC2.00%——1.00%2.00%4.00%5.00%13.00%13.00%12.00%10.00%16.00%21.00%1.00%——
Skive1.00%—2.00%3.00%4.00%2.00%9.00%9.00%16.00%13.00%9.00%14.00%13.00%5.00%——
Lolland-Falster Alliancen———————3.00%—2.00%2.00%5.00%10.00%57.00%19.00%2.00%
FC Amager————————————2.00%22.00%71.00%5.00%
Koge BK——————————————7.00%93.00%

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.

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 77.00% 23.00% —
Herfolge 33.00% 67.00% —
Lyngby 17.00% 83.00% —
Viborg 14.00% 85.00% 1.00%
Naestved 12.00% 88.00% —
Akademisk BK 12.00% 87.00% 1.00%
Fredericia 11.00% 89.00% —
Thisted 11.00% 89.00% —
Hvidovre 4.00% 93.00% 3.00%
Kolding FC 2.00% 97.00% 1.00%
FC Roskilde 4.00% 91.00% 5.00%
Skive 1.00% 94.00% 5.00%
BK Frem Kobenhavn 2.00% 90.00% 8.00%
Lolland-Falster Alliancen — 22.00% 78.00%
FC Amager — 2.00% 98.00%
Koge BK — — 100%

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
2008-08-09 Lyngby L 0-353.2 1557 1496 51.17% 27.27% 21.56%+0.58 -33.3 0
2008-08-09 @ FC Amager W 3-053.2 1496 1557 21.56% 27.27% 51.17%-0.58 +33.3 3
2008-08-10 Akademisk BK L 0-449.8 1515 1507 44.49% 28.41% 27.09%+0.22 -38.8 0
2008-08-10 @ Kolding FC W 4-049.8 1507 1515 27.09% 28.41% 44.49%-0.22 +38.8 3
2008-08-10 FC Roskilde D 2-267.0 1475 1545 33.65% 28.91% 37.45%-0.33 +0.1 1
2008-08-10 @ Lolland-Falster Alliancen D 2-267.0 1545 1475 37.45% 28.91% 33.65%+0.33 -0.1 1
2008-08-10 Fredericia L 0-345.9 1458 1528 33.59% 28.91% 37.50%-0.33 -24.1 0
2008-08-10 @ Koge BK W 3-045.9 1528 1458 37.50% 28.91% 33.59%+0.33 +24.1 3
2008-08-10 Herfolge D 1-160.6 1479 1525 36.98% 28.92% 34.11%-0.16 -0.1 1
2008-08-10 @ Skive D 1-160.6 1525 1479 34.11% 28.92% 36.98%+0.16 +0.1 1
2008-08-10 Hvidovre D 1-163.5 1558 1514 49.09% 27.71% 23.20%+0.47 -1.3 1
2008-08-10 @ Silkeborg D 1-163.5 1514 1558 23.20% 27.71% 49.09%-0.47 +1.3 1
2008-08-10 Thisted L 1-356.1 1492 1545 35.94% 28.93% 35.13%-0.21 -15.1 0
2008-08-10 @ BK Frem Kobenhavn W 3-156.1 1545 1492 35.13% 28.93% 35.94%+0.21 +15.1 3
2008-08-10 Viborg L 0-154.0 1499 1510 41.93% 28.67% 29.39%+0.08 -10.4 0
2008-08-10 @ Naestved W 1-054.0 1510 1499 29.39% 28.67% 41.93%-0.08 +10.4 3
2008-08-16 Skive W 1-047.7 1520 1478 48.88% 27.75% 23.38%+0.45 +6.6 6
2008-08-16 @ Viborg L 0-147.7 1478 1520 23.38% 27.75% 48.88%-0.45 -6.6 1
2008-08-17 BK Frem Kobenhavn W 2-044.7 1530 1476 50.28% 27.47% 22.26%+0.53 +12.0 6
2008-08-17 @ Lyngby L 0-244.7 1476 1530 22.26% 27.47% 50.28%-0.53 -12.0 0
2008-08-17 FC Amager D 1-162.0 1516 1524 42.38% 28.63% 28.99%+0.11 -0.7 2
2008-08-17 @ Hvidovre D 1-162.0 1524 1516 28.99% 28.63% 42.38%-0.11 +0.7 1
2008-08-17 Koge BK W 1-044.6 1545 1434 57.04% 25.66% 17.30%+0.94 +5.0 4
2008-08-17 @ FC Roskilde L 0-144.6 1434 1545 17.30% 25.66% 57.04%-0.94 -5.0 0
2008-08-17 Kolding FC W 3-042.8 1525 1476 49.75% 27.58% 22.67%+0.50 +17.7 4
2008-08-17 @ Herfolge L 0-342.8 1476 1525 22.67% 27.58% 49.75%-0.50 -17.7 0
2008-08-17 Naestved W 4-149.2 1560 1488 52.55% 26.95% 20.50%+0.66 +13.7 6
2008-08-17 @ Thisted L 1-449.2 1488 1560 20.50% 26.95% 52.55%-0.66 -13.7 0
2008-08-17 Lolland-Falster Alliancen W 1-047.5 1546 1475 52.40% 26.99% 20.62%+0.66 +5.9 6
2008-08-17 @ Akademisk BK L 0-147.5 1475 1546 20.62% 26.99% 52.40%-0.66 -6.0 1
2008-08-17 Silkeborg L 1-262.8 1552 1557 42.89% 28.59% 28.53%+0.13 -9.9 3
2008-08-17 @ Fredericia W 2-162.8 1557 1552 28.53% 28.59% 42.89%-0.13 +9.9 4
2008-08-27 Akademisk BK L 0-245.4 1429 1552 26.84% 28.38% 44.78%-0.70 -14.0 0
2008-08-27 @ Koge BK W 2-045.4 1552 1429 44.78% 28.38% 26.84%+0.70 +14.0 9
2008-08-27 FC Roskilde W 2-050.0 1566 1550 45.60% 28.27% 26.13%+0.28 +13.7 7
2008-08-27 @ Silkeborg L 0-250.0 1550 1566 26.13% 28.27% 45.60%-0.28 -13.7 4
2008-08-27 Fredericia D 2-268.7 1524 1542 40.95% 28.75% 30.31%+0.03 -0.4 2
2008-08-27 @ FC Amager D 2-268.7 1542 1524 30.31% 28.75% 40.95%-0.03 +0.4 4
2008-08-27 BK Frem Kobenhavn D 1-158.4 1475 1464 44.82% 28.37% 26.81%+0.23 -0.9 1
2008-08-27 @ Naestved D 1-158.4 1464 1475 26.81% 28.37% 44.82%-0.23 +0.9 1
2008-08-27 Herfolge L 1-256.6 1469 1543 33.17% 28.89% 37.94%-0.35 -8.2 1
2008-08-27 @ Lolland-Falster Alliancen W 2-156.6 1543 1469 37.94% 28.89% 33.17%+0.35 +8.2 7
2008-08-27 Lyngby W 3-155.4 1515 1542 39.80% 28.82% 31.38%-0.02 +13.7 5
2008-08-27 @ Hvidovre L 1-355.4 1542 1515 31.38% 28.82% 39.80%+0.02 -13.7 6
2008-08-27 Thisted D 1-162.3 1472 1574 29.38% 28.67% 41.95%-0.55 +0.6 2
2008-08-27 @ Skive D 1-162.3 1574 1472 41.95% 28.67% 29.38%+0.55 -0.6 7
2008-08-27 Viborg L 1-353.6 1459 1527 33.90% 28.91% 37.19%-0.31 -14.5 0
2008-08-27 @ Kolding FC W 3-153.6 1527 1459 37.19% 28.91% 33.90%+0.31 +14.5 9
2008-08-31 FC Amager L 0-451.3 1537 1524 45.14% 28.33% 26.53%+0.25 -39.3 4
2008-08-31 @ FC Roskilde W 4-051.3 1524 1537 26.53% 28.33% 45.14%-0.25 +39.3 5
2008-08-31 Hvidovre W 4-152.1 1543 1529 45.33% 28.31% 26.36%+0.26 +16.9 7
2008-08-31 @ Fredericia L 1-452.1 1529 1543 26.36% 28.31% 45.33%-0.26 -16.9 5
2008-08-31 Koge BK W 8-140.9 1551 1415 59.74% 24.71% 15.55%+1.11 +22.6 10
2008-08-31 @ Herfolge L 1-840.9 1415 1551 15.55% 24.71% 59.74%-1.11 -22.7 0
2008-08-31 Kolding FC W 2-150.5 1573 1444 58.97% 24.99% 16.03%+1.06 +4.4 10
2008-08-31 @ Thisted L 1-250.5 1444 1573 16.03% 24.99% 58.97%-1.06 -4.4 0
2008-08-31 Naestved D 0-057.1 1528 1474 50.39% 27.45% 22.17%+0.54 -1.6 7
2008-08-31 @ Lyngby D 0-057.1 1474 1528 22.17% 27.45% 50.39%-0.54 +1.6 2
2008-08-31 Lolland-Falster Alliancen W 2-043.6 1541 1461 53.50% 26.70% 19.80%+0.72 +10.8 12
2008-08-31 @ Viborg L 0-243.6 1461 1541 19.80% 26.70% 53.50%-0.72 -10.8 1
2008-08-31 Silkeborg L 0-255.7 1566 1580 41.53% 28.70% 29.77%+0.06 -19.4 9
2008-08-31 @ Akademisk BK W 2-055.7 1580 1566 29.77% 28.70% 41.53%-0.06 +19.4 10
2008-08-31 Skive L 1-452.2 1465 1472 42.49% 28.62% 28.89%+0.11 -24.2 1
2008-08-31 @ BK Frem Kobenhavn W 4-152.2 1472 1465 28.89% 28.62% 42.49%-0.11 +24.2 5
2008-09-03 BK Frem Kobenhavn D 2-262.1 1440 1441 43.26% 28.55% 28.19%+0.15 -0.5 1
2008-09-03 @ Kolding FC D 2-262.1 1441 1440 28.19% 28.55% 43.26%-0.15 +0.5 2
2008-09-07 FC Roskilde W 2-046.3 1512 1497 45.37% 28.30% 26.33%+0.26 +13.8 8
2008-09-07 @ Hvidovre L 0-246.3 1497 1512 26.33% 28.30% 45.37%-0.26 -13.8 4
2008-09-07 Herfolge W 3-049.3 1600 1574 46.83% 28.09% 25.07%+0.34 +19.3 13
2008-09-07 @ Silkeborg L 0-349.3 1574 1600 25.07% 28.09% 46.83%-0.34 -19.3 10
2008-09-07 Lyngby L 0-255.4 1560 1526 47.83% 27.93% 24.24%+0.40 -21.7 7
2008-09-07 @ Fredericia W 2-055.4 1526 1560 24.24% 27.93% 47.83%-0.40 +21.7 10
2008-09-07 Naestved L 2-557.7 1497 1475 46.23% 28.18% 25.59%+0.31 -22.4 5
2008-09-07 @ Skive W 5-257.7 1475 1497 25.59% 28.18% 46.23%-0.31 +22.4 5
2008-09-07 Thisted L 1-255.0 1450 1578 26.37% 28.31% 45.32%-0.73 -6.9 1
2008-09-07 @ Lolland-Falster Alliancen W 2-155.0 1578 1450 45.32% 28.31% 26.37%+0.73 +6.9 13
2008-09-13 Silkeborg W 3-268.4 1552 1619 34.11% 28.92% 36.97%-0.30 +8.4 15
2008-09-13 @ Viborg L 2-368.4 1619 1552 36.97% 28.92% 34.11%+0.30 -8.4 13
2008-09-14 Fredericia W 3-155.3 1483 1538 35.82% 28.93% 35.25%-0.22 +14.9 7
2008-09-14 @ FC Roskilde L 1-355.3 1538 1483 35.25% 28.93% 35.82%+0.22 -14.9 7
2008-09-14 FC Amager D 2-270.4 1555 1563 42.30% 28.64% 29.06%+0.10 -0.5 11
2008-09-14 @ Herfolge D 2-270.4 1563 1555 29.06% 28.64% 42.30%-0.10 +0.5 6
2008-09-14 Hvidovre W 3-261.8 1547 1526 46.24% 28.18% 25.57%+0.31 +6.4 12
2008-09-14 @ Akademisk BK L 2-361.8 1526 1547 25.57% 28.18% 46.24%-0.31 -6.4 8
2008-09-14 Koge BK W 4-036.6 1585 1392 65.37% 22.35% 12.29%+1.51 +12.6 16
2008-09-14 @ Thisted L 0-436.6 1392 1585 12.29% 22.35% 65.37%-1.51 -12.6 0
2008-09-14 Kolding FC D 2-264.4 1498 1439 50.94% 27.33% 21.74%+0.57 -1.1 6
2008-09-14 @ Naestved D 2-264.4 1439 1498 21.74% 27.33% 50.94%-0.57 +1.1 2
2008-09-14 Skive W 3-150.3 1548 1474 52.75% 26.90% 20.35%+0.68 +9.6 13
2008-09-14 @ Lyngby L 1-350.3 1474 1548 20.35% 26.90% 52.75%-0.68 -9.6 5
2008-09-17 Akademisk BK L 0-158.5 1564 1553 44.83% 28.37% 26.80%+0.23 -10.9 6
2008-09-17 @ FC Amager W 1-058.5 1553 1564 26.80% 28.37% 44.83%-0.23 +10.9 15
2008-09-17 Viborg L 2-355.2 1380 1561 20.88% 27.07% 52.05%-1.10 -5.4 0
2008-09-17 @ Koge BK W 3-255.2 1561 1380 52.05% 27.07% 20.88%+1.10 +5.4 18
2008-09-21 Akademisk BK D 2-269.4 1523 1564 37.80% 28.90% 33.30%-0.12 -0.2 8
2008-09-21 @ Fredericia D 2-269.4 1564 1523 33.30% 28.90% 37.80%+0.12 +0.2 16
2008-09-21 BK Frem Kobenhavn W 3-256.8 1374 1442 33.98% 28.91% 37.10%-0.31 +8.5 3
2008-09-21 @ Koge BK L 2-356.8 1442 1374 37.10% 28.91% 33.98%+0.31 -8.5 2
2008-09-21 Herfolge L 2-462.7 1519 1554 38.63% 28.87% 32.50%-0.08 -14.2 8
2008-09-21 @ Hvidovre W 4-262.7 1554 1519 32.50% 28.87% 38.63%+0.08 +14.2 14
2008-09-21 Lyngby L 0-153.7 1498 1558 35.17% 28.93% 35.90%-0.25 -9.1 7
2008-09-21 @ FC Roskilde W 1-053.7 1558 1498 35.90% 28.93% 35.17%+0.25 +9.1 16
2008-09-21 Naestved L 0-444.3 1444 1497 36.04% 28.93% 35.03%-0.21 -33.1 1
2008-09-21 @ Lolland-Falster Alliancen W 4-044.3 1497 1444 35.03% 28.93% 36.04%+0.21 +33.1 9
2008-09-21 Skive D 2-262.8 1440 1465 40.13% 28.80% 31.07%-0.01 -0.3 3
2008-09-21 @ Kolding FC D 2-262.8 1465 1440 31.07% 28.80% 40.13%+0.01 +0.3 6
2008-09-21 Thisted D 2-272.9 1610 1597 45.18% 28.33% 26.49%+0.25 -0.7 14
2008-09-21 @ Silkeborg D 2-272.9 1597 1610 26.49% 28.33% 45.18%-0.25 +0.7 17
2008-09-21 Viborg L 1-755.5 1553 1566 41.63% 28.70% 29.68%+0.07 -44.5 6
2008-09-21 @ FC Amager W 7-155.5 1566 1553 29.68% 28.70% 41.63%-0.07 +44.5 21
2008-10-04 FC Amager D 1-165.0 1598 1508 54.64% 26.39% 18.97%+0.79 -1.9 18
2008-10-04 @ Thisted D 1-165.0 1508 1598 18.97% 26.39% 54.64%-0.79 +1.9 7
2008-10-05 FC Roskilde W 2-045.7 1564 1489 52.90% 26.86% 20.24%+0.68 +11.0 19
2008-10-05 @ Akademisk BK L 0-245.7 1489 1564 20.24% 26.86% 52.90%-0.68 -11.0 7
2008-10-05 Fredericia W 4-258.3 1568 1523 49.30% 27.66% 23.03%+0.48 +9.6 17
2008-10-05 @ Herfolge L 2-458.3 1523 1568 23.03% 27.66% 49.30%-0.48 -9.6 8
2008-10-05 Hvidovre D 1-165.5 1611 1505 56.40% 25.86% 17.74%+0.90 -2.1 22
2008-10-05 @ Viborg D 1-165.5 1505 1611 17.74% 25.86% 56.40%-0.90 +2.1 9
2008-10-05 Koge BK W 5-036.0 1530 1383 60.86% 24.28% 14.86%+1.19 +19.1 12
2008-10-05 @ Naestved L 0-536.0 1383 1530 14.86% 24.28% 60.86%-1.19 -19.1 3
2008-10-05 Kolding FC D 1-161.9 1567 1440 58.69% 25.10% 16.22%+1.04 -2.3 17
2008-10-05 @ Lyngby D 1-161.9 1440 1567 16.22% 25.10% 58.69%-1.04 +2.3 4
2008-10-05 Lolland-Falster Alliancen W 3-038.2 1465 1410 50.44% 27.43% 22.13%+0.54 +17.3 9
2008-10-05 @ Skive L 0-338.2 1410 1465 22.13% 27.43% 50.44%-0.54 -17.3 1
2008-10-05 Silkeborg W 2-162.7 1433 1610 21.31% 27.20% 51.49%-1.07 +11.5 5
2008-10-05 @ BK Frem Kobenhavn L 1-262.7 1610 1433 51.49% 27.20% 21.31%+1.07 -11.5 14
2008-10-12 Herfolge L 1-257.1 1478 1578 29.71% 28.70% 41.60%-0.53 -7.6 7
2008-10-12 @ FC Roskilde W 2-157.1 1578 1478 41.60% 28.70% 29.71%+0.53 +7.6 20
2008-10-12 Kolding FC L 0-146.6 1393 1442 36.60% 28.92% 34.48%-0.18 -9.4 1
2008-10-12 @ Lolland-Falster Alliancen W 1-046.6 1442 1393 34.48% 28.92% 36.60%+0.18 +9.4 7
2008-10-12 Skive L 1-444.7 1363 1482 27.37% 28.45% 44.17%-0.67 -17.4 3
2008-10-12 @ Koge BK W 4-144.7 1482 1363 44.17% 28.45% 27.37%+0.67 +17.4 12
2008-10-12 Thisted D 0-060.3 1507 1596 31.05% 28.80% 40.15%-0.46 +0.5 10
2008-10-12 @ Hvidovre D 0-060.3 1596 1507 40.15% 28.80% 31.05%+0.46 -0.5 19
2008-10-12 Viborg L 1-259.5 1513 1608 30.31% 28.75% 40.94%-0.50 -7.7 8
2008-10-12 @ Fredericia W 2-159.5 1608 1513 40.94% 28.75% 30.31%+0.50 +7.7 25
2008-10-18 Silkeborg L 2-654.8 1500 1598 29.85% 28.71% 41.44%-0.53 -20.4 12
2008-10-18 @ Skive W 6-254.8 1598 1500 41.44% 28.71% 29.85%+0.53 +20.4 17
2008-10-19 Akademisk BK W 2-051.5 1585 1575 44.81% 28.38% 26.82%+0.23 +14.0 23
2008-10-19 @ Herfolge L 0-251.5 1575 1585 26.82% 28.38% 44.81%-0.23 -14.0 19
2008-10-19 FC Roskilde L 0-258.2 1616 1471 60.68% 24.35% 14.97%+1.18 -26.3 25
2008-10-19 @ Viborg W 2-058.2 1471 1616 14.97% 24.35% 60.68%-1.18 +26.3 10
2008-10-19 Fredericia L 2-467.7 1596 1506 54.63% 26.39% 18.97%+0.79 -18.7 19
2008-10-19 @ Thisted W 4-267.7 1506 1596 18.97% 26.39% 54.63%-0.79 +18.7 11
2008-10-19 FC Amager D 2-268.7 1549 1510 48.51% 27.81% 23.68%+0.43 -0.9 13
2008-10-19 @ Naestved D 2-268.7 1510 1549 23.68% 27.81% 48.51%-0.43 +1.0 8
2008-10-19 Hvidovre W 2-155.3 1445 1507 34.67% 28.93% 36.41%-0.28 +8.8 8
2008-10-19 @ BK Frem Kobenhavn L 1-255.3 1507 1445 36.41% 28.93% 34.67%+0.28 -8.8 10
2008-10-19 Koge BK D 0-051.1 1452 1346 56.41% 25.86% 17.73%+0.90 -2.3 8
2008-10-19 @ Kolding FC D 0-051.1 1346 1452 17.73% 25.86% 56.41%-0.90 +2.3 4
2008-10-19 Lolland-Falster Alliancen W 3-036.5 1564 1384 64.20% 22.88% 12.92%+1.42 +10.2 20
2008-10-19 @ Lyngby L 0-336.5 1384 1564 12.92% 22.88% 64.20%-1.42 -10.2 1
2008-10-22 BK Frem Kobenhavn D 2-265.3 1511 1454 50.79% 27.36% 21.85%+0.56 -1.1 9
2008-10-22 @ FC Amager D 2-265.3 1454 1511 21.85% 27.36% 50.79%-0.56 +1.1 9
2008-10-22 Lyngby L 0-158.2 1561 1575 41.64% 28.70% 29.67%+0.07 -10.3 19
2008-10-22 @ Akademisk BK W 1-058.2 1575 1561 29.67% 28.70% 41.64%-0.07 +10.3 23
2008-10-25 Viborg W 2-160.9 1551 1590 38.07% 28.89% 33.04%-0.11 +8.2 22
2008-10-25 @ Akademisk BK L 1-260.9 1590 1551 33.04% 28.89% 38.07%+0.11 -8.2 25
2008-10-26 BK Frem Kobenhavn D 2-266.0 1525 1455 52.29% 27.01% 20.70%+0.65 -1.2 12
2008-10-26 @ Fredericia D 2-266.0 1455 1525 20.70% 27.01% 52.29%-0.65 +1.2 10
2008-10-26 Kolding FC D 2-270.4 1619 1449 63.08% 23.37% 13.55%+1.34 -2.0 18
2008-10-26 @ Silkeborg D 2-270.4 1449 1619 13.55% 23.37% 63.08%-1.34 +2.0 9
2008-10-26 Lyngby D 1-166.7 1599 1585 45.39% 28.30% 26.31%+0.26 -1.0 24
2008-10-26 @ Herfolge D 1-166.7 1585 1599 26.31% 28.30% 45.39%-0.26 +1.0 24
2008-10-26 Naestved L 1-258.9 1499 1548 36.59% 28.92% 34.49%-0.18 -8.8 10
2008-10-26 @ Hvidovre W 2-158.9 1548 1499 34.49% 28.92% 36.59%+0.18 +8.8 16
2008-10-26 Lolland-Falster Alliancen D 1-152.7 1348 1374 40.00% 28.81% 31.19%-0.01 -0.4 5
2008-10-26 @ Koge BK D 1-152.7 1374 1348 31.19% 28.81% 40.00%+0.01 +0.4 2
2008-10-26 Skive D 2-266.1 1510 1479 47.45% 28.00% 24.56%+0.37 -0.9 10
2008-10-26 @ FC Amager D 2-266.1 1479 1510 24.56% 28.00% 47.45%-0.37 +0.9 13
2008-10-26 Thisted W 1-055.5 1497 1577 32.28% 28.86% 38.86%-0.40 +9.8 13
2008-10-26 @ FC Roskilde L 0-155.5 1577 1497 38.86% 28.86% 32.28%+0.40 -9.8 19
2008-11-01 Herfolge L 2-466.6 1582 1599 41.14% 28.73% 30.13%+0.04 -14.9 25
2008-11-01 @ Viborg W 4-266.6 1599 1582 30.13% 28.73% 41.14%-0.04 +14.9 27
2008-11-02 Akademisk BK D 2-270.8 1567 1559 44.52% 28.41% 27.07%+0.22 -0.7 20
2008-11-02 @ Thisted D 2-270.8 1559 1567 27.07% 28.41% 44.52%-0.22 +0.6 23
2008-11-02 FC Roskilde W 2-047.3 1456 1507 36.37% 28.93% 34.71%-0.19 +17.0 13
2008-11-02 @ BK Frem Kobenhavn L 0-247.3 1507 1456 34.71% 28.93% 36.37%+0.19 -17.0 13
2008-11-02 Fredericia W 3-046.2 1557 1523 47.83% 27.93% 24.24%+0.40 +18.7 19
2008-11-02 @ Naestved L 0-346.2 1523 1557 24.24% 27.93% 47.83%-0.40 -18.7 12
2008-11-02 FC Amager W 3-260.9 1451 1509 35.41% 28.93% 35.66%-0.24 +8.2 12
2008-11-02 @ Kolding FC L 2-360.9 1509 1451 35.66% 28.93% 35.41%+0.24 -8.2 10
2008-11-02 Hvidovre W 2-045.8 1480 1490 42.13% 28.66% 29.22%+0.09 +15.0 16
2008-11-02 @ Skive L 0-245.8 1490 1480 29.22% 28.66% 42.13%-0.09 -15.0 10
2008-11-02 Koge BK W 4-033.8 1586 1348 69.52% 20.29% 10.19%+1.82 +10.2 27
2008-11-02 @ Lyngby L 0-433.8 1348 1586 10.19% 20.29% 69.52%-1.82 -10.2 5
2008-11-02 Silkeborg L 1-249.5 1374 1617 16.02% 24.99% 58.99%-1.53 -4.4 2
2008-11-02 @ Lolland-Falster Alliancen W 2-149.5 1617 1374 58.99% 24.99% 16.02%+1.53 +4.4 21
2008-11-08 Thisted W 4-154.2 1613 1567 49.50% 27.63% 22.87%+0.49 +15.0 30
2008-11-08 @ Herfolge L 1-454.2 1567 1613 22.87% 27.63% 49.50%-0.49 -15.0 20
2008-11-09 BK Frem Kobenhavn D 1-162.5 1560 1473 54.28% 26.49% 19.22%+0.77 -1.8 24
2008-11-09 @ Akademisk BK D 1-162.5 1473 1560 19.22% 26.49% 54.28%-0.77 +1.8 14
2008-11-09 Koge BK D 1-162.2 1621 1338 73.37% 18.19% 8.44%+2.14 -3.6 22
2008-11-09 @ Silkeborg D 1-162.2 1338 1621 8.44% 18.19% 73.37%-2.14 +3.6 6
2008-11-09 Kolding FC L 1-257.2 1475 1460 45.47% 28.29% 26.24%+0.27 -10.4 10
2008-11-09 @ Hvidovre W 2-157.2 1460 1475 26.24% 28.29% 45.47%-0.27 +10.4 15
2008-11-09 Lyngby W 3-266.6 1567 1596 39.42% 28.84% 31.74%-0.04 +7.6 28
2008-11-09 @ Viborg L 2-366.6 1596 1567 31.74% 28.84% 39.42%+0.04 -7.6 27
2008-11-09 Naestved D 1-162.9 1490 1576 31.51% 28.82% 39.67%-0.44 +0.4 14
2008-11-09 @ FC Roskilde D 1-162.9 1576 1490 39.67% 28.82% 31.51%+0.44 -0.4 20
2008-11-09 Lolland-Falster Alliancen W 2-037.3 1501 1370 59.18% 24.92% 15.90%+1.08 +8.8 13
2008-11-09 @ FC Amager L 0-237.3 1370 1501 15.90% 24.92% 59.18%-1.08 -8.8 2
2008-11-09 Skive W 4-256.4 1505 1495 44.70% 28.39% 26.91%+0.23 +10.9 15
2008-11-09 @ Fredericia L 2-456.4 1495 1505 26.91% 28.39% 44.70%-0.23 -10.9 16
2008-11-15 Viborg D 1-164.9 1552 1574 40.34% 28.79% 30.88%+0.00 -0.5 21
2008-11-15 @ Thisted D 1-164.9 1574 1552 30.88% 28.79% 40.34%+0.00 +0.5 29
2008-11-16 Akademisk BK W 1-053.3 1575 1558 45.72% 28.26% 26.02%+0.28 +7.2 23
2008-11-16 @ Naestved L 0-153.3 1558 1575 26.02% 28.26% 45.72%-0.28 -7.2 24
2008-11-16 FC Roskilde D 1-159.6 1484 1490 42.64% 28.61% 28.75%+0.12 -0.7 17
2008-11-16 @ Skive D 1-159.6 1490 1484 28.75% 28.61% 42.64%-0.12 +0.7 15
2008-11-16 Fredericia W 3-153.6 1470 1515 37.15% 28.91% 33.94%-0.15 +14.5 18
2008-11-16 @ Kolding FC L 1-353.6 1515 1470 33.94% 28.91% 37.15%+0.15 -14.5 15
2008-11-16 FC Amager D 2-261.6 1341 1509 22.09% 27.42% 50.49%-1.01 +1.1 7
2008-11-16 @ Koge BK D 2-261.6 1509 1341 50.49% 27.42% 22.09%+1.01 -1.1 14
2008-11-16 Herfolge D 0-060.6 1475 1628 23.52% 27.78% 48.70%-0.91 +1.4 15
2008-11-16 @ BK Frem Kobenhavn D 0-060.6 1628 1475 48.70% 27.78% 23.52%+0.91 -1.4 31
2008-11-16 Hvidovre L 0-241.2 1361 1464 29.20% 28.65% 42.15%-0.56 -15.0 2
2008-11-16 @ Lolland-Falster Alliancen W 2-041.2 1464 1361 42.15% 28.65% 29.20%+0.56 +15.0 13
2008-11-16 Silkeborg L 0-256.6 1588 1617 39.46% 28.83% 31.71%-0.04 -18.7 27
2008-11-16 @ Lyngby W 2-056.6 1617 1588 31.71% 28.83% 39.46%+0.04 +18.7 25
2008-11-23 BK Frem Kobenhavn W 4-042.3 1575 1476 55.61% 26.11% 18.28%+0.85 +19.0 32
2008-11-23 @ Viborg L 0-442.3 1476 1575 18.28% 26.11% 55.61%-0.85 -19.0 15
2008-11-23 Koge BK W 4-033.3 1479 1342 59.80% 24.69% 15.51%+1.12 +16.2 16
2008-11-23 @ Hvidovre L 0-433.3 1342 1479 15.51% 24.69% 59.80%-1.12 -16.2 7
2008-11-23 Naestved L 0-162.1 1627 1582 49.23% 27.68% 23.09%+0.47 -11.8 31
2008-11-23 @ Herfolge W 1-062.1 1582 1627 23.09% 27.68% 49.23%-0.47 +11.8 26
2008-11-23 Thisted D 1-165.0 1570 1551 45.92% 28.23% 25.85%+0.29 -1.0 28
2008-11-23 @ Lyngby D 1-165.0 1551 1570 25.85% 28.23% 45.92%-0.29 +1.0 22
2008-11-29 Naestved W 3-050.0 1636 1594 48.89% 27.74% 23.37%+0.45 +18.2 28
2008-11-29 @ Silkeborg L 0-350.0 1594 1636 23.37% 27.74% 48.89%-0.45 -18.2 26
2009-03-21 Viborg D 0-064.4 1654 1594 51.17% 27.27% 21.55%+0.58 -1.7 29
2009-03-21 @ Silkeborg D 0-064.4 1594 1654 21.55% 27.27% 51.17%-0.58 +1.7 33
2009-03-22 Thisted FL51.6 1326 1552 17.22% 25.62% 57.17%-1.41 +0.0 7
2009-03-22 @ Koge BK FW51.6 1552 1326 57.17% 25.62% 17.22%+1.41 +0.0 25
2009-03-22 Akademisk BK D 1-162.2 1496 1551 35.77% 28.93% 35.30%-0.22 -0.0 17
2009-03-22 @ Hvidovre D 1-162.2 1551 1496 35.30% 28.93% 35.77%+0.22 +0.0 25
2009-03-22 FC Roskilde W 3-259.2 1501 1491 44.79% 28.38% 26.83%+0.23 +6.6 18
2009-03-22 @ Fredericia L 2-359.2 1491 1501 26.83% 28.38% 44.79%-0.23 -6.6 15
2009-03-22 BK Frem Kobenhavn L 0-338.4 1346 1457 28.27% 28.56% 43.18%-0.61 -21.2 2
2009-03-22 @ Lolland-Falster Alliancen W 3-038.4 1457 1346 43.18% 28.56% 28.27%+0.61 +21.2 18
2009-03-22 Herfolge L 1-259.1 1508 1615 28.81% 28.62% 42.58%-0.58 -7.4 14
2009-03-22 @ FC Amager W 2-159.1 1615 1508 42.58% 28.62% 28.81%+0.58 +7.4 34
2009-03-22 Lyngby W 1-054.9 1484 1569 31.58% 28.83% 39.59%-0.43 +9.9 20
2009-03-22 @ Skive L 0-154.9 1569 1484 39.59% 28.83% 31.58%+0.43 -9.9 28
2009-03-22 Naestved D 2-268.5 1485 1576 30.76% 28.78% 40.46%-0.48 +0.4 19
2009-03-22 @ Kolding FC D 2-268.5 1576 1485 40.46% 28.78% 30.76%+0.48 -0.3 27
2009-03-29 FC Amager FW57.2 1551 1501 49.85% 27.56% 22.59%+0.51 +0.0 28
2009-03-29 @ Akademisk BK FL57.2 1501 1551 22.59% 27.56% 49.85%-0.51 +0.0 14
2009-03-29 Koge BK FW55.0 1595 1326 72.22% 18.84% 8.94%+2.04 +0.0 36
2009-03-29 @ Viborg FL55.0 1326 1595 8.94% 18.84% 72.22%-2.04 +0.0 7
2009-03-29 Fredericia D 1-163.4 1559 1508 50.04% 27.52% 22.44%+0.52 -1.4 29
2009-03-29 @ Lyngby D 1-163.4 1508 1559 22.44% 27.52% 50.04%-0.52 +1.4 19
2009-03-29 Hvidovre W 3-152.0 1484 1496 41.89% 28.67% 29.43%+0.08 +13.0 18
2009-03-29 @ FC Roskilde L 1-352.0 1496 1484 29.43% 28.67% 41.89%-0.08 -13.0 17
2009-03-29 Kolding FC D 2-264.9 1478 1485 42.56% 28.62% 28.83%+0.12 -0.5 19
2009-03-29 @ BK Frem Kobenhavn D 2-264.9 1485 1478 28.83% 28.62% 42.56%-0.12 +0.5 20
2009-03-29 Lolland-Falster Alliancen W 7-033.8 1552 1325 68.59% 20.77% 10.64%+1.75 +18.1 28
2009-03-29 @ Thisted L 0-733.8 1325 1552 10.64% 20.77% 68.59%-1.75 -18.1 2
2009-03-29 Silkeborg L 1-363.5 1623 1653 39.34% 28.84% 31.82%-0.05 -16.1 34
2009-03-29 @ Herfolge W 3-163.5 1653 1623 31.82% 28.84% 39.34%+0.05 +16.1 32
2009-03-29 Skive D 0-059.8 1576 1493 53.74% 26.64% 19.62%+0.74 -2.0 28
2009-03-29 @ Naestved D 0-059.8 1493 1576 19.62% 26.64% 53.74%-0.74 +2.0 21
2009-04-02 Kolding FC L 0-251.0 1497 1485 45.02% 28.35% 26.63%+0.24 -20.7 18
2009-04-02 @ FC Roskilde W 2-051.0 1485 1497 26.63% 28.35% 45.02%-0.24 +20.6 23
2009-04-02 Lolland-Falster Alliancen D 1-156.6 1509 1306 66.30% 21.91% 11.80%+1.57 -3.0 20
2009-04-02 @ Fredericia D 1-156.6 1306 1509 11.80% 21.91% 66.30%-1.57 +3.0 3
2009-04-02 Skive W 3-259.5 1551 1495 50.53% 27.41% 22.05%+0.55 +5.6 31
2009-04-02 @ Akademisk BK L 2-359.5 1495 1551 22.05% 27.41% 50.53%-0.55 -5.7 21
2009-04-03 Herfolge FL54.0 1326 1607 13.67% 23.46% 62.87%-1.79 +0.0 7
2009-04-03 @ Koge BK FW54.0 1607 1326 62.87% 23.46% 13.67%+1.79 +0.0 37
2009-04-04 Lyngby D 1-165.3 1574 1557 45.59% 28.27% 26.13%+0.28 -1.0 29
2009-04-04 @ Naestved D 1-165.3 1557 1574 26.13% 28.27% 45.59%-0.28 +1.0 30
2009-04-05 FC Roskilde FL54.3 1501 1477 46.66% 28.12% 25.22%+0.33 +0.0 14
2009-04-05 @ FC Amager FW54.3 1477 1501 25.22% 28.12% 46.66%-0.33 +0.0 21
2009-04-05 Akademisk BK W 2-049.3 1669 1556 57.14% 25.62% 17.23%+0.95 +9.5 35
2009-04-05 @ Silkeborg L 0-249.3 1556 1669 17.23% 25.62% 57.14%-0.95 -9.5 31
2009-04-05 Fredericia D 2-265.8 1483 1506 40.24% 28.79% 30.97%+0.00 -0.3 18
2009-04-05 @ Hvidovre D 2-265.8 1506 1483 30.97% 28.79% 40.24%+0.00 +0.3 21
2009-04-05 BK Frem Kobenhavn L 0-153.3 1490 1478 45.04% 28.35% 26.61%+0.25 -11.0 21
2009-04-05 @ Skive W 1-053.3 1478 1490 26.61% 28.35% 45.04%-0.25 +11.0 22
2009-04-05 Thisted D 1-163.3 1506 1570 34.47% 28.92% 36.61%-0.29 +0.1 24
2009-04-05 @ Kolding FC D 1-163.3 1570 1506 36.61% 28.92% 34.47%+0.29 -0.1 29
2009-04-05 Viborg W 3-265.6 1309 1595 13.35% 23.22% 63.43%-1.83 +13.0 6
2009-04-05 @ Lolland-Falster Alliancen L 2-365.6 1595 1309 63.43% 23.22% 13.35%+1.83 -12.9 36
2009-04-09 FC Amager FW55.3 1506 1501 44.16% 28.45% 27.39%+0.20 +0.0 24
2009-04-09 @ Fredericia FL55.3 1501 1506 27.39% 28.45% 44.16%-0.20 +0.0 14
2009-04-09 Koge BK FW52.8 1547 1326 67.97% 21.08% 10.94%+1.70 +0.0 34
2009-04-09 @ Akademisk BK FL52.8 1326 1547 10.94% 21.08% 67.97%-1.70 +0.0 7
2009-04-09 Hvidovre W 4-148.7 1558 1482 53.03% 26.83% 20.14%+0.69 +13.4 33
2009-04-09 @ Lyngby L 1-448.7 1482 1558 20.14% 26.83% 53.03%-0.69 -13.5 18
2009-04-09 Kolding FC W 3-152.6 1583 1506 53.06% 26.82% 20.12%+0.69 +9.5 39
2009-04-09 @ Viborg L 1-352.6 1506 1583 20.12% 26.82% 53.06%-0.69 -9.5 24
2009-04-09 Naestved D 1-162.8 1489 1573 31.76% 28.84% 39.40%-0.42 +0.4 23
2009-04-09 @ BK Frem Kobenhavn D 1-162.8 1573 1489 39.40% 28.84% 31.76%+0.42 -0.4 30
2009-04-09 Lolland-Falster Alliancen W 1-037.8 1607 1322 73.44% 18.15% 8.41%+2.14 +2.3 40
2009-04-09 @ Herfolge L 0-137.8 1322 1607 8.41% 18.15% 73.44%-2.14 -2.3 6
2009-04-09 Silkeborg L 1-256.4 1477 1678 19.11% 26.45% 54.44%-1.24 -5.2 21
2009-04-09 @ FC Roskilde W 2-156.4 1678 1477 54.44% 26.45% 19.11%+1.24 +5.2 38
2009-04-09 Skive W 3-258.4 1570 1479 54.78% 26.35% 18.87%+0.80 +4.9 32
2009-04-09 @ Thisted L 2-358.4 1479 1570 18.87% 26.35% 54.78%-0.80 -4.9 21
2009-04-12 Lyngby D 1-162.8 1489 1572 31.92% 28.84% 39.24%-0.42 +0.3 24
2009-04-12 @ BK Frem Kobenhavn D 1-162.8 1572 1489 39.24% 28.84% 31.92%+0.42 -0.3 34
2009-04-13 FC Roskilde FL48.8 1326 1471 24.42% 27.97% 47.61%-0.85 +0.0 7
2009-04-13 @ Koge BK FW48.8 1471 1326 47.61% 27.97% 24.42%+0.85 +0.0 24
2009-04-13 Hvidovre FL54.0 1501 1469 47.66% 27.96% 24.38%+0.39 +0.0 14
2009-04-13 @ FC Amager FW54.0 1469 1501 24.38% 27.96% 47.66%-0.39 +0.0 21
2009-04-13 Akademisk BK L 0-140.7 1320 1547 17.15% 25.59% 57.26%-1.42 -5.0 6
2009-04-13 @ Lolland-Falster Alliancen W 1-040.7 1547 1320 57.26% 25.59% 17.15%+1.42 +5.0 37
2009-04-13 Fredericia L 1-269.7 1683 1506 63.86% 23.03% 13.11%+1.40 -13.7 38
2009-04-13 @ Silkeborg W 2-169.7 1506 1683 13.11% 23.03% 63.86%-1.40 +13.7 27
2009-04-13 Herfolge L 1-453.9 1497 1609 28.16% 28.55% 43.29%-0.62 -17.8 24
2009-04-13 @ Kolding FC W 4-153.9 1609 1497 43.29% 28.55% 28.16%+0.62 +17.8 43
2009-04-13 Thisted W 5-364.0 1572 1575 43.08% 28.57% 28.35%+0.14 +10.7 33
2009-04-13 @ Naestved L 3-564.0 1575 1572 28.35% 28.57% 43.08%-0.14 -10.7 32
2009-04-13 Viborg L 1-354.5 1474 1592 27.46% 28.46% 44.08%-0.66 -12.4 21
2009-04-13 @ Skive W 3-154.5 1592 1474 44.08% 28.46% 27.46%+0.66 +12.4 42
2009-04-16 Silkeborg FL61.0 1501 1670 22.04% 27.41% 50.55%-1.02 +0.0 14
2009-04-16 @ FC Amager FW61.0 1670 1501 50.55% 27.41% 22.04%+1.02 +0.0 41
2009-04-18 Kolding FC W 2-152.9 1552 1479 52.67% 26.92% 20.41%+0.67 +5.5 40
2009-04-18 @ Akademisk BK L 1-252.9 1479 1552 20.41% 26.92% 52.67%-0.67 -5.6 24
2009-04-18 Skive W 3-149.7 1627 1462 62.67% 23.55% 13.79%+1.31 +6.5 46
2009-04-18 @ Herfolge L 1-349.7 1462 1627 13.79% 23.55% 62.67%-1.31 -6.5 21
2009-04-19 FC Amager FW58.1 1571 1501 52.37% 26.99% 20.64%+0.65 +0.0 37
2009-04-19 @ Lyngby FL58.1 1501 1571 20.64% 26.99% 52.37%-0.65 +0.0 14
2009-04-19 Koge BK FW51.7 1520 1326 65.48% 22.29% 12.23%+1.51 +0.0 30
2009-04-19 @ Fredericia FL51.7 1326 1520 12.23% 22.29% 65.48%-1.51 +0.0 7
2009-04-19 BK Frem Kobenhavn D 2-268.8 1564 1490 52.88% 26.87% 20.26%+0.68 -1.3 33
2009-04-19 @ Thisted D 2-268.8 1490 1564 20.26% 26.87% 52.88%-0.68 +1.3 25
2009-04-19 Naestved L 1-265.9 1604 1583 46.27% 28.18% 25.55%+0.31 -10.6 42
2009-04-19 @ Viborg W 2-165.9 1583 1604 25.55% 28.18% 46.27%-0.31 +10.5 36
2009-04-19 Lolland-Falster Alliancen W 3-140.1 1471 1315 61.77% 23.92% 14.31%+1.25 +6.8 27
2009-04-19 @ FC Roskilde L 1-340.1 1315 1471 14.31% 23.92% 61.77%-1.25 -6.8 6
2009-04-19 Silkeborg L 1-256.0 1469 1670 19.17% 26.47% 54.36%-1.24 -5.2 21
2009-04-19 @ Hvidovre W 2-156.0 1670 1469 54.36% 26.47% 19.17%+1.24 +5.2 44
2009-04-25 Herfolge L 0-256.6 1594 1633 37.97% 28.89% 33.14%-0.11 -18.1 36
2009-04-25 @ Naestved W 2-056.6 1633 1594 33.14% 28.89% 37.97%+0.11 +18.1 49
2009-04-26 Hvidovre FL48.5 1326 1464 25.26% 28.13% 46.61%-0.80 +0.0 7
2009-04-26 @ Koge BK FW48.5 1464 1326 46.61% 28.13% 25.26%+0.80 +0.0 24
2009-04-26 FC Amager FW62.4 1675 1501 63.55% 23.16% 13.28%+1.38 +0.0 47
2009-04-26 @ Silkeborg FL62.4 1501 1675 13.28% 23.16% 63.55%-1.38 +0.0 14
2009-04-26 Akademisk BK L 1-549.4 1455 1557 29.37% 28.67% 41.96%-0.55 -23.8 21
2009-04-26 @ Skive W 5-149.4 1557 1455 41.96% 28.67% 29.37%+0.55 +23.8 43
2009-04-26 FC Roskilde W 4-255.2 1473 1478 42.78% 28.60% 28.62%+0.13 +11.4 27
2009-04-26 @ Kolding FC L 2-455.2 1478 1473 28.62% 28.60% 42.78%-0.13 -11.4 27
2009-04-26 Fredericia L 0-237.2 1308 1520 18.29% 26.11% 55.60%-1.32 -10.0 6
2009-04-26 @ Lolland-Falster Alliancen W 2-037.2 1520 1308 55.60% 26.11% 18.29%+1.32 +10.0 33
2009-04-26 Lyngby L 1-361.2 1563 1571 42.30% 28.64% 29.06%+0.10 -17.0 33
2009-04-26 @ Thisted W 3-161.2 1571 1563 29.06% 28.64% 42.30%-0.10 +17.0 40
2009-04-28 FC Amager FW59.1 1594 1501 54.97% 26.30% 18.74%+0.81 +0.0 45
2009-04-28 @ Viborg FL59.1 1501 1594 18.74% 26.30% 54.97%-0.81 +0.0 14
2009-04-28 Koge BK FW50.5 1491 1326 62.62% 23.57% 13.82%+1.31 +0.0 28
2009-04-28 @ BK Frem Kobenhavn FL50.5 1326 1491 13.82% 23.57% 62.62%-1.31 +0.0 7
2009-05-02 Lyngby W 1-053.7 1675 1589 54.23% 26.51% 19.26%+0.76 +5.6 50
2009-05-02 @ Silkeborg L 0-153.7 1589 1675 19.26% 26.51% 54.23%-0.76 -5.6 40
2009-05-02 Thisted W 2-049.5 1594 1546 49.62% 27.60% 22.77%+0.50 +12.2 48
2009-05-02 @ Viborg L 0-249.5 1546 1594 22.77% 27.60% 49.62%-0.50 -12.2 33
2009-05-03 Koge BK FL50.9 1501 1326 63.63% 23.13% 13.24%+1.38 +0.0 14
2009-05-03 @ FC Amager FL50.9 1326 1501 13.24% 23.13% 63.63%-1.38 +0.0 7
2009-05-03 BK Frem Kobenhavn W 3-043.9 1651 1491 62.21% 23.74% 14.05%+1.28 +11.2 52
2009-05-03 @ Herfolge L 0-343.9 1491 1651 14.05% 23.74% 62.21%-1.28 -11.2 28
2009-05-03 Kolding FC W 4-042.8 1530 1485 49.32% 27.66% 23.01%+0.48 +23.4 36
2009-05-03 @ Fredericia L 0-442.8 1485 1530 23.01% 27.66% 49.32%-0.48 -23.4 27
2009-05-03 Naestved W 2-159.5 1581 1575 44.22% 28.45% 27.34%+0.20 +7.1 46
2009-05-03 @ Akademisk BK L 1-259.5 1575 1581 27.34% 28.45% 44.22%-0.20 -7.1 36
2009-05-03 Lolland-Falster Alliancen W 4-243.9 1464 1298 62.69% 23.54% 13.78%+1.31 +5.8 27
2009-05-03 @ Hvidovre L 2-443.9 1298 1464 13.78% 23.54% 62.69%-1.31 -5.8 6
2009-05-03 Skive W 2-041.5 1467 1431 48.07% 27.89% 24.04%+0.41 +12.8 30
2009-05-03 @ FC Roskilde L 0-241.5 1431 1467 24.04% 27.89% 48.07%-0.41 -12.8 21
2009-05-09 Viborg L 0-159.3 1583 1606 40.28% 28.79% 30.93%+0.00 -10.0 40
2009-05-09 @ Lyngby W 1-059.3 1606 1583 30.93% 28.79% 40.28%+0.00 +10.0 51
2009-05-10 Silkeborg FL57.8 1326 1681 10.06% 20.15% 69.80%-2.31 +0.0 7
2009-05-10 @ Koge BK FW57.8 1681 1326 69.80% 20.15% 10.06%+2.31 +0.0 53
2009-05-10 FC Amager FW49.2 1292 1501 18.55% 26.22% 55.23%-1.29 +0.0 9
2009-05-10 @ Lolland-Falster Alliancen FL49.2 1501 1292 55.23% 26.22% 18.55%+1.29 +0.0 14
2009-05-10 Akademisk BK L 0-347.3 1480 1588 28.58% 28.59% 42.82%-0.60 -21.4 28
2009-05-10 @ BK Frem Kobenhavn W 3-047.3 1588 1480 42.82% 28.59% 28.58%+0.60 +21.4 49
2009-05-10 FC Roskilde W 4-361.7 1568 1480 54.50% 26.43% 19.07%+0.78 +4.8 39
2009-05-10 @ Naestved L 3-461.7 1480 1568 19.07% 26.43% 54.50%-0.78 -4.8 30
2009-05-10 Fredericia W 2-158.8 1419 1554 25.51% 28.17% 46.31%-0.78 +10.6 24
2009-05-10 @ Skive L 1-258.8 1554 1419 46.31% 28.17% 25.51%+0.78 -10.6 36
2009-05-10 Herfolge L 0-350.3 1534 1662 26.22% 28.29% 45.49%-0.74 -20.0 33
2009-05-10 @ Thisted W 3-050.3 1662 1534 45.49% 28.29% 26.22%+0.74 +20.0 55
2009-05-10 Hvidovre L 2-361.7 1461 1469 42.34% 28.64% 29.02%+0.10 -9.3 27
2009-05-10 @ Kolding FC W 3-261.7 1469 1461 29.02% 28.64% 42.34%-0.10 +9.3 30
2009-05-16 Viborg W 4-049.6 1682 1616 51.87% 27.11% 21.02%+0.62 +21.6 58
2009-05-16 @ Herfolge L 0-449.6 1616 1682 21.02% 27.11% 51.87%-0.62 -21.6 51
2009-05-17 Kolding FC FL53.5 1501 1452 49.78% 27.57% 22.65%+0.50 +0.0 14
2009-05-17 @ FC Amager FW53.5 1452 1501 22.65% 27.57% 49.78%-0.50 +0.0 30
2009-05-17 Lyngby FL52.5 1326 1573 15.76% 24.83% 59.41%-1.56 +0.0 7
2009-05-17 @ Koge BK FW52.5 1573 1326 59.41% 24.83% 15.76%+1.56 +0.0 43
2009-05-17 BK Frem Kobenhavn W 4-147.0 1475 1458 45.63% 28.27% 26.10%+0.28 +16.8 33
2009-05-17 @ FC Roskilde L 1-447.0 1458 1475 26.10% 28.27% 45.63%-0.28 -16.8 28
2009-05-17 Naestved D 0-060.7 1543 1573 39.30% 28.84% 31.86%-0.05 -0.4 37
2009-05-17 @ Fredericia D 0-060.7 1573 1543 31.86% 28.84% 39.30%+0.05 +0.4 40
2009-05-17 Lolland-Falster Alliancen W 5-136.2 1681 1292 81.06% 13.57% 5.37%+2.87 +3.9 56
2009-05-17 @ Silkeborg L 1-536.2 1292 1681 5.37% 13.57% 81.06%-2.87 -3.9 9
2009-05-17 Skive D 1-157.6 1479 1429 49.85% 27.56% 22.60%+0.51 -1.4 31
2009-05-17 @ Hvidovre D 1-157.6 1429 1479 22.60% 27.56% 49.85%-0.51 +1.4 25
2009-05-17 Thisted W 4-044.8 1610 1514 55.31% 26.20% 18.49%+0.83 +19.2 52
2009-05-17 @ Akademisk BK L 0-444.8 1514 1610 18.49% 26.20% 55.31%-0.83 -19.3 33
2009-05-20 Akademisk BK L 0-256.7 1594 1629 38.70% 28.87% 32.44%-0.08 -18.4 51
2009-05-20 @ Viborg W 2-056.7 1629 1594 32.44% 28.87% 38.70%+0.08 +18.4 55
2009-05-23 Silkeborg L 1-450.5 1452 1684 16.73% 25.37% 57.90%-1.46 -11.3 30
2009-05-23 @ Kolding FC W 4-150.5 1684 1452 57.90% 25.37% 16.73%+1.46 +11.3 59
2009-05-24 FC Amager FW52.4 1430 1501 33.58% 28.91% 37.52%-0.33 +0.0 28
2009-05-24 @ Skive FL52.4 1501 1430 37.52% 28.91% 33.58%+0.33 +0.0 14
2009-05-24 Koge BK FW45.9 1289 1326 38.25% 28.88% 32.87%-0.10 +0.0 12
2009-05-24 @ Lolland-Falster Alliancen FL45.9 1326 1289 32.87% 28.88% 38.25%+0.10 +0.0 7
2009-05-24 FC Roskilde W 4-043.4 1495 1491 43.85% 28.49% 27.66%+0.18 +27.2 36
2009-05-24 @ Thisted L 0-443.4 1491 1495 27.66% 28.49% 43.85%-0.18 -27.2 33
2009-05-24 Fredericia D 0-056.1 1441 1543 29.52% 28.68% 41.79%-0.54 +0.7 29
2009-05-24 @ BK Frem Kobenhavn D 0-056.1 1543 1441 41.79% 28.68% 29.52%+0.54 -0.7 38
2009-05-24 Herfolge D 0-064.6 1573 1704 25.94% 28.24% 45.82%-0.75 +1.1 44
2009-05-24 @ Lyngby D 0-064.6 1704 1573 45.82% 28.24% 25.94%+0.75 -1.1 59
2009-05-24 Hvidovre W 3-042.9 1574 1477 55.35% 26.19% 18.47%+0.83 +14.7 43
2009-05-24 @ Naestved L 0-342.9 1477 1574 18.47% 26.19% 55.35%-0.83 -14.7 31
2009-05-28 Kolding FC FL48.0 1326 1441 27.89% 28.52% 43.59%-0.64 +0.0 7
2009-05-28 @ Koge BK FW48.0 1441 1326 43.59% 28.52% 27.89%+0.64 +0.0 33
2009-05-28 Naestved FL58.1 1501 1588 31.31% 28.81% 39.88%-0.45 +0.0 14
2009-05-28 @ FC Amager FW58.1 1588 1501 39.88% 28.81% 31.31%+0.45 +0.0 46
2009-05-28 BK Frem Kobenhavn W 3-040.4 1463 1442 46.15% 28.20% 25.65%+0.30 +19.6 34
2009-05-28 @ Hvidovre L 0-340.4 1442 1463 25.65% 28.20% 46.15%-0.30 -19.6 29
2009-05-28 Lyngby L 0-333.9 1289 1574 13.38% 23.24% 63.37%-1.83 -10.6 12
2009-05-28 @ Lolland-Falster Alliancen W 3-033.9 1574 1289 63.37% 23.24% 13.38%+1.83 +10.6 47
2009-05-28 Skive W 2-150.4 1696 1430 71.88% 19.02% 9.09%+2.01 +2.3 62
2009-05-28 @ Silkeborg L 1-250.4 1430 1696 9.09% 19.02% 71.88%-2.01 -2.3 28
2009-05-28 Thisted W 3-046.2 1542 1522 46.11% 28.20% 25.69%+0.30 +19.6 41
2009-05-28 @ Fredericia L 0-346.2 1522 1542 25.69% 28.20% 46.11%-0.30 -19.6 36
2009-05-28 Viborg W 2-052.6 1464 1576 28.21% 28.55% 43.24%-0.62 +20.0 36
2009-05-28 @ FC Roskilde L 0-252.6 1576 1464 43.24% 28.55% 28.21%+0.62 -20.0 51
2009-06-01 FC Amager FW52.1 1422 1501 32.48% 28.87% 38.65%-0.39 +0.0 32
2009-06-01 @ BK Frem Kobenhavn FL52.1 1501 1422 38.65% 28.87% 32.48%+0.39 +0.0 14
2009-06-01 Koge BK FW48.5 1428 1326 55.99% 25.99% 18.02%+0.87 +0.0 31
2009-06-01 @ Skive FL48.5 1326 1428 18.02% 25.99% 55.99%-0.87 +0.0 7
2009-06-01 Akademisk BK L 0-255.7 1585 1647 34.67% 28.93% 36.40%-0.28 -17.0 47
2009-06-01 @ Lyngby W 2-055.7 1647 1585 36.40% 28.93% 34.67%+0.28 +17.0 58
2009-06-01 FC Roskilde W 5-043.1 1703 1484 67.80% 21.17% 11.03%+1.69 +13.8 62
2009-06-01 @ Herfolge L 0-543.1 1484 1703 11.03% 21.17% 67.80%-1.69 -13.8 36
2009-06-01 Fredericia L 1-360.8 1556 1562 42.70% 28.60% 28.69%+0.12 -17.2 51
2009-06-01 @ Viborg W 3-160.8 1562 1556 28.69% 28.60% 42.70%-0.12 +17.2 44
2009-06-01 Hvidovre L 0-154.1 1502 1482 46.07% 28.21% 25.72%+0.30 -11.1 36
2009-06-01 @ Thisted W 1-054.1 1482 1502 25.72% 28.21% 46.07%-0.30 +11.2 37
2009-06-01 Lolland-Falster Alliancen W 1-035.9 1441 1278 62.43% 23.64% 13.93%+1.30 +4.1 36
2009-06-01 @ Kolding FC L 0-135.9 1278 1441 13.93% 23.64% 62.43%-1.30 -4.0 12
2009-06-01 Silkeborg L 1-262.5 1588 1698 28.45% 28.58% 42.97%-0.60 -7.3 46
2009-06-01 @ Naestved W 2-162.5 1698 1588 42.97% 28.58% 28.45%+0.60 +7.3 65
2009-06-07 Naestved FL52.8 1326 1581 15.23% 24.52% 60.25%-1.62 +0.0 7
2009-06-07 @ Koge BK FW52.8 1581 1326 60.25% 24.52% 15.23%+1.62 +0.0 49
2009-06-07 Thisted FL54.7 1501 1491 44.78% 28.38% 26.84%+0.23 +0.0 14
2009-06-07 @ FC Amager FW54.7 1491 1501 26.84% 28.38% 44.78%-0.23 +0.0 39
2009-06-07 Akademisk BK L 2-458.4 1471 1664 19.76% 26.69% 53.54%-1.19 -8.4 36
2009-06-07 @ FC Roskilde W 4-258.4 1664 1471 53.54% 26.69% 19.76%+1.19 +8.4 61
2009-06-07 BK Frem Kobenhavn D 2-273.9 1705 1422 73.35% 18.20% 8.45%+2.14 -2.7 66
2009-06-07 @ Silkeborg D 2-273.9 1422 1705 8.45% 18.20% 73.35%-2.14 +2.7 33
2009-06-07 Herfolge L 1-261.5 1579 1717 25.19% 28.11% 46.70%-0.80 -6.7 44
2009-06-07 @ Fredericia W 2-161.5 1717 1579 46.70% 28.11% 25.19%+0.80 +6.7 65
2009-06-07 Skive W 5-146.5 1274 1428 23.47% 27.77% 48.76%-0.91 +34.8 15
2009-06-07 @ Lolland-Falster Alliancen L 1-546.5 1428 1274 48.76% 27.77% 23.47%+0.91 -34.8 31
2009-06-07 Viborg W 3-047.7 1493 1539 37.13% 28.91% 33.96%-0.16 +24.3 40
2009-06-07 @ Hvidovre L 0-347.7 1539 1493 33.96% 28.91% 37.13%+0.16 -24.3 51
2009-06-10 Herfolge L 0-455.7 1673 1723 36.39% 28.93% 34.69%-0.19 -33.4 61
2009-06-10 @ Akademisk BK W 4-055.7 1723 1673 34.69% 28.93% 36.39%+0.19 +33.4 68
2009-06-10 Lolland-Falster Alliancen W 4-032.2 1425 1309 57.59% 25.47% 16.93%+0.97 +17.7 36
2009-06-10 @ BK Frem Kobenhavn L 0-432.2 1309 1425 16.93% 25.47% 57.59%-0.97 -17.7 15
2009-06-11 Lyngby L 1-450.2 1445 1568 26.88% 28.39% 44.73%-0.70 -17.2 36
2009-06-11 @ Kolding FC W 4-150.2 1568 1445 44.73% 28.39% 26.88%+0.70 +17.2 50
2009-06-13 Lolland-Falster Alliancen W 1-035.8 1581 1291 73.91% 17.88% 8.20%+2.18 +2.2 52
2009-06-13 @ Naestved L 0-135.8 1291 1581 8.20% 17.88% 73.91%-2.18 -2.2 15
2009-06-14 FC Roskilde L 2-369.8 1585 1462 58.27% 25.24% 16.49%+1.02 -12.1 50
2009-06-14 @ Lyngby W 3-269.8 1462 1585 16.49% 25.24% 58.27%-1.02 +12.1 39
2009-06-14 Fredericia L 1-267.8 1639 1572 51.98% 27.09% 20.93%+0.63 -11.6 61
2009-06-14 @ Akademisk BK W 2-167.8 1572 1639 20.93% 27.09% 51.98%-0.63 +11.6 47
2009-06-14 Hvidovre W 3-259.8 1757 1518 69.62% 20.24% 10.14%+1.83 +2.5 71
2009-06-14 @ Herfolge L 2-359.8 1518 1757 10.14% 20.24% 69.62%-1.83 -2.5 40
2009-06-14 Kolding FC W 3-040.2 1393 1427 38.74% 28.87% 32.40%-0.08 +23.5 34
2009-06-14 @ Skive L 0-340.2 1427 1393 32.40% 28.87% 38.74%+0.08 -23.5 36
2009-06-14 Silkeborg L 1-257.0 1491 1703 18.28% 26.11% 55.61%-1.32 -5.0 39
2009-06-14 @ Thisted W 2-157.0 1703 1491 55.61% 26.11% 18.28%+1.32 +5.0 69
2009-06-14 Viborg L 0-645.2 1443 1515 33.40% 28.90% 37.70%-0.34 -45.9 36
2009-06-14 @ BK Frem Kobenhavn W 6-045.2 1515 1443 37.70% 28.90% 33.40%+0.34 +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 13.11% Fredericia 1506 2 @ Silkeborg 1683 1
2 2009-04-05 13.35% @ Lolland-Falster Alliancen 1309 3 Viborg 1595 2
3 2008-10-19 14.97% FC Roskilde 1471 2 @ Viborg 1616 0
4 2009-06-14 16.49% FC Roskilde 1462 3 @ Lyngby 1585 2
5 2008-10-19 18.97% Fredericia 1506 4 @ Thisted 1596 2
6 2009-06-14 20.93% Fredericia 1572 2 @ Akademisk BK 1639 1
7 2008-10-05 21.31% @ BK Frem Kobenhavn 1433 2 Silkeborg 1610 1
8 2008-08-09 21.56% Lyngby 1496 3 @ FC Amager 1557 0
9 2008-11-23 23.09% Naestved 1582 1 @ Herfolge 1627 0
10 2009-06-07 23.47% @ Lolland-Falster Alliancen 1274 5 Skive 1428 1
11 2008-09-07 24.24% Lyngby 1526 2 @ Fredericia 1560 0
12 2009-05-10 25.51% @ Skive 1419 2 Fredericia 1554 1
13 2009-04-19 25.55% Naestved 1583 2 @ Viborg 1604 1
14 2008-09-07 25.59% Naestved 1475 5 @ Skive 1497 2
15 2009-06-01 25.72% Hvidovre 1482 1 @ Thisted 1502 0
16 2008-11-09 26.24% Kolding FC 1460 2 @ Hvidovre 1475 1
17 2008-08-31 26.53% FC Amager 1524 4 @ FC Roskilde 1537 0
18 2009-04-05 26.61% BK Frem Kobenhavn 1478 1 @ Skive 1490 0
19 2009-04-02 26.63% Kolding FC 1485 2 @ FC Roskilde 1497 0
20 2008-09-17 26.80% Akademisk BK 1553 1 @ FC Amager 1564 0
21 2008-08-10 27.09% Akademisk BK 1507 4 @ Kolding FC 1515 0
22 2009-05-28 28.21% @ FC Roskilde 1464 2 Viborg 1576 0
23 2008-08-17 28.53% Silkeborg 1557 2 @ Fredericia 1552 1
24 2009-06-01 28.69% Fredericia 1562 3 @ Viborg 1556 1
25 2008-08-31 28.89% Skive 1472 4 @ BK Frem Kobenhavn 1465 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 45.93 Viborg 6 1515 37.70% @ BK Frem Kobenhavn 0 1443 33.40% 28.90%
2 2008-09-21 44.51 Viborg 7 1566 29.68% @ FC Amager 1 1553 41.63% 28.70%
3 2008-08-31 39.26 FC Amager 4 1524 26.53% @ FC Roskilde 0 1537 45.14% 28.33%
4 2008-08-10 38.82 Akademisk BK 4 1507 27.09% @ Kolding FC 0 1515 44.49% 28.41%
5 2009-06-07 34.81 @ Lolland-Falster Alliancen 5 1274 23.47% Skive 1 1428 48.76% 27.77%
6 2009-06-10 33.36 Herfolge 4 1723 34.69% @ Akademisk BK 0 1673 36.39% 28.93%
7 2008-08-09 33.27 Lyngby 3 1496 21.56% @ FC Amager 0 1557 51.17% 27.27%
8 2008-09-21 33.13 Naestved 4 1497 35.03% @ Lolland-Falster Alliancen 0 1444 36.04% 28.93%
9 2009-05-24 27.22 @ Thisted 4 1495 43.85% FC Roskilde 0 1491 27.66% 28.49%
10 2008-10-19 26.34 FC Roskilde 2 1471 14.97% @ Viborg 0 1616 60.68% 24.35%
11 2009-06-07 24.30 @ Hvidovre 3 1493 37.13% Viborg 0 1539 33.96% 28.91%
12 2008-08-31 24.17 Skive 4 1472 28.89% @ BK Frem Kobenhavn 1 1465 42.49% 28.62%
13 2008-08-10 24.11 Fredericia 3 1528 37.50% @ Koge BK 0 1458 33.59% 28.91%
14 2009-04-26 23.76 Akademisk BK 5 1557 41.96% @ Skive 1 1455 29.37% 28.67%
15 2009-06-14 23.49 @ Skive 3 1393 38.74% Kolding FC 0 1427 32.40% 28.87%
16 2009-05-03 23.43 @ Fredericia 4 1530 49.32% Kolding FC 0 1485 23.01% 27.66%
17 2008-08-31 22.65 @ Herfolge 8 1551 59.74% Koge BK 1 1415 15.55% 24.71%
18 2008-09-07 22.37 Naestved 5 1475 25.59% @ Skive 2 1497 46.23% 28.18%
19 2008-09-07 21.67 Lyngby 2 1526 24.24% @ Fredericia 0 1560 47.83% 27.93%
20 2009-05-16 21.65 @ Herfolge 4 1682 51.87% Viborg 0 1616 21.02% 27.11%
21 2009-05-10 21.37 Akademisk BK 3 1588 42.82% @ BK Frem Kobenhavn 0 1480 28.58% 28.59%
22 2009-03-22 21.19 BK Frem Kobenhavn 3 1457 43.18% @ Lolland-Falster Alliancen 0 1346 28.27% 28.56%
23 2009-04-02 20.65 Kolding FC 2 1485 26.63% @ FC Roskilde 0 1497 45.02% 28.35%
24 2008-10-18 20.41 Silkeborg 6 1598 41.44% @ Skive 2 1500 29.85% 28.71%
25 2009-05-28 20.01 @ FC Roskilde 2 1464 28.21% Viborg 0 1576 43.24% 28.55%

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 2009-06-07 73.9 @ Silkeborg 2 1705 73.35% BK Frem Kobenhavn 2 1422 8.45% 18.20%
2 2008-09-21 72.9 @ Silkeborg 2 1610 45.18% Thisted 2 1597 26.49% 28.33%
3 2008-11-02 70.8 @ Thisted 2 1567 44.52% Akademisk BK 2 1559 27.07% 28.41%
4 2008-09-14 70.4 @ Herfolge 2 1555 42.30% FC Amager 2 1563 29.06% 28.64%
5 2008-10-26 70.4 @ Silkeborg 2 1619 63.08% Kolding FC 2 1449 13.55% 23.37%
6 2009-06-14 69.8 FC Roskilde 3 1462 16.49% @ Lyngby 2 1585 58.27% 25.24%
7 2009-04-13 69.7 Fredericia 2 1506 13.11% @ Silkeborg 1 1683 63.86% 23.03%
8 2008-09-21 69.4 @ Fredericia 2 1523 37.80% Akademisk BK 2 1564 33.30% 28.90%
9 2009-04-19 68.8 @ Thisted 2 1564 52.88% BK Frem Kobenhavn 2 1490 20.26% 26.87%
10 2008-08-27 68.7 @ FC Amager 2 1524 40.95% Fredericia 2 1542 30.31% 28.75%
11 2008-10-19 68.7 @ Naestved 2 1549 48.51% FC Amager 2 1510 23.68% 27.81%
12 2009-03-22 68.5 @ Kolding FC 2 1485 30.76% Naestved 2 1576 40.46% 28.78%
13 2008-09-13 68.4 @ Viborg 3 1552 34.11% Silkeborg 2 1619 36.97% 28.92%
14 2009-06-14 67.8 Fredericia 2 1572 20.93% @ Akademisk BK 1 1639 51.98% 27.09%
15 2008-10-19 67.7 Fredericia 4 1506 18.97% @ Thisted 2 1596 54.63% 26.39%
16 2008-08-10 67.0 @ Lolland-Falster Alliancen 2 1475 33.65% FC Roskilde 2 1545 37.45% 28.91%
17 2008-10-26 66.7 @ Herfolge 1 1599 45.39% Lyngby 1 1585 26.31% 28.30%
18 2008-11-01 66.6 Herfolge 4 1599 30.13% @ Viborg 2 1582 41.14% 28.73%
19 2008-11-09 66.6 @ Viborg 3 1567 39.42% Lyngby 2 1596 31.74% 28.84%
20 2008-10-26 66.1 @ FC Amager 2 1510 47.45% Skive 2 1479 24.56% 28.00%
21 2008-10-26 66.0 @ Fredericia 2 1525 52.29% BK Frem Kobenhavn 2 1455 20.70% 27.01%
22 2009-04-19 65.9 Naestved 2 1583 25.55% @ Viborg 1 1604 46.27% 28.18%
23 2009-04-05 65.8 @ Hvidovre 2 1483 40.24% Fredericia 2 1506 30.97% 28.79%
24 2009-04-05 65.6 @ Lolland-Falster Alliancen 3 1309 13.35% Viborg 2 1595 63.43% 23.22%
25 2008-10-05 65.5 @ Viborg 1 1611 56.40% Hvidovre 1 1505 17.74% 25.86%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2009-06-10 32.2 @ BK Frem Kobenhavn 4 1425 57.59% Lolland-Falster Alliancen 0 1309 16.93% 25.47%
2 2008-11-23 33.3 @ Hvidovre 4 1479 59.80% Koge BK 0 1342 15.51% 24.69%
3 2008-11-02 33.8 @ Lyngby 4 1586 69.52% Koge BK 0 1348 10.19% 20.29%
4 2009-03-29 33.8 @ Thisted 7 1552 68.59% Lolland-Falster Alliancen 0 1325 10.64% 20.77%
5 2009-05-28 33.9 Lyngby 3 1574 63.37% @ Lolland-Falster Alliancen 0 1289 13.38% 23.24%
6 2009-06-13 35.8 @ Naestved 1 1581 73.91% Lolland-Falster Alliancen 0 1291 8.20% 17.88%
7 2009-06-01 35.9 @ Kolding FC 1 1441 62.43% Lolland-Falster Alliancen 0 1278 13.93% 23.64%
8 2008-10-05 36.0 @ Naestved 5 1530 60.86% Koge BK 0 1383 14.86% 24.28%
9 2009-05-17 36.2 @ Silkeborg 5 1681 81.06% Lolland-Falster Alliancen 1 1292 5.37% 13.57%
10 2008-10-19 36.5 @ Lyngby 3 1564 64.20% Lolland-Falster Alliancen 0 1384 12.92% 22.88%
11 2008-09-14 36.6 @ Thisted 4 1585 65.37% Koge BK 0 1392 12.29% 22.35%
12 2009-04-26 37.2 Fredericia 2 1520 55.60% @ Lolland-Falster Alliancen 0 1308 18.29% 26.11%
13 2008-11-09 37.3 @ FC Amager 2 1501 59.18% Lolland-Falster Alliancen 0 1370 15.90% 24.92%
14 2009-04-09 37.8 @ Herfolge 1 1607 73.44% Lolland-Falster Alliancen 0 1322 8.41% 18.15%
15 2008-10-05 38.2 @ Skive 3 1465 50.44% Lolland-Falster Alliancen 0 1410 22.13% 27.43%
16 2009-03-22 38.4 BK Frem Kobenhavn 3 1457 43.18% @ Lolland-Falster Alliancen 0 1346 28.27% 28.56%
17 2009-04-19 40.1 @ FC Roskilde 3 1471 61.77% Lolland-Falster Alliancen 1 1315 14.31% 23.92%
18 2009-06-14 40.2 @ Skive 3 1393 38.74% Kolding FC 0 1427 32.40% 28.87%
19 2009-05-28 40.4 @ Hvidovre 3 1463 46.15% BK Frem Kobenhavn 0 1442 25.65% 28.20%
20 2009-04-13 40.7 Akademisk BK 1 1547 57.26% @ Lolland-Falster Alliancen 0 1320 17.15% 25.59%
21 2008-08-31 40.9 @ Herfolge 8 1551 59.74% Koge BK 1 1415 15.55% 24.71%
22 2008-11-16 41.2 Hvidovre 2 1464 42.15% @ Lolland-Falster Alliancen 0 1361 29.20% 28.65%
23 2009-05-03 41.5 @ FC Roskilde 2 1467 48.07% Skive 0 1431 24.04% 27.89%
24 2008-11-23 42.3 @ Viborg 4 1575 55.61% BK Frem Kobenhavn 0 1476 18.28% 26.11%
25 2008-08-17 42.8 @ Herfolge 3 1525 49.75% Kolding FC 0 1476 22.67% 27.58%