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2009-10 1st Division Season

240 games

Final

Promoted

Horsens

66 pts

Lyngby · 62 pts

Relegated

Braband

13 pts

BK From Kobenhavn · 28 pts

Thisted · 30 pts

Biggest Overachiever

Lyngby

13.62 points above expected

62 points · 48.38 expected points

Biggest Disappointment

Brabrand

22.45 points below expected

13 points · 35.45 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 Horsens Promoted 30 21 3 6 66 67 28 +39 52.40 +13.60
2 Lyngby Promoted 30 19 5 6 62 60 39 +21 48.38 +13.62
3 Fredericia 30 18 5 7 59 56 22 +34 50.67 +8.33
4 Akademisk BK 30 15 9 6 54 47 30 +17 51.66 +2.34
5 Vestsjaelland 30 14 8 8 50 53 46 +7 44.41 +5.59
6 Naestved 30 13 5 12 44 44 34 +10 47.19 -3.19
7 Viborg 30 10 14 6 44 30 26 +4 45.23 -1.23
8 FC Fyn 30 12 6 12 42 42 51 -9 40.45 +1.55
9 Skive 30 13 2 15 41 44 49 -5 31.45 +9.55
10 Vejle BK 30 7 12 11 33 33 34 -1 45.12 -12.12
11 FC Roskilde 30 9 6 15 33 37 51 -14 35.35 -2.35
12 Hvidovre 30 7 11 12 32 37 43 -6 40.95 -8.95
13 Kolding FC 30 8 7 15 31 41 59 -18 30.10 +0.90
14 Thisted Relegated 30 8 6 16 30 33 57 -24 36.37 -6.37
15 BK Frem Kobenhavn 30 7 7 16 28 38 59 -21 29.21 -1.21
16 Brabrand 30 1 10 19 13 18 52 -34 35.45 -22.45

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
Horsens 1619 66 52.40 +13.60 97.7% 25 41 48 52 57 64 78
Fredericia 1595 59 50.67 +8.33 89.1% 21 39 46 51 56 62 77
Akademisk BK 1573 54 51.66 +2.34 65.2% 26 40 47 52 56 63 76
Lyngby 1562 62 48.38 +13.62 97.7% 22 36 44 48 53 60 77
Naestved 1533 44 47.19 -3.19 35.5% 20 36 42 47 52 59 72
Viborg 1518 44 45.23 -1.23 46.1% 20 34 40 45 50 57 74
Vestsjaelland 1505 50 44.41 +5.59 81.4% 18 33 40 44 49 56 75
Vejle BK 1487 33 45.12 -12.12 4.7% 18 34 40 45 50 57 73
FC Fyn 1475 42 40.45 +1.55 62.2% 13 29 36 40 45 52 68
Skive 1457 41 31.45 +9.55 92.9% 9 21 27 31 36 43 55
Hvidovre 1456 32 40.95 -8.95 11.6% 13 29 36 41 46 53 67
FC Roskilde 1431 33 35.35 -2.35 40.2% 12 24 31 35 40 47 61
Thisted 1401 30 36.37 -6.37 20.4% 14 25 32 36 41 48 65
Kolding FC 1399 31 30.10 +0.90 59.4% 6 19 26 30 34 41 67
BK Frem Kobenhavn 1395 28 29.21 -1.21 47.0% 8 18 25 29 34 41 56
Brabrand 1382 13 35.45 -22.45 0.1% 11 24 31 35 40 47 60

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 BRA FF FR FRE HOR HVI KOL LYN NAE SKI THI VB VES VIB
Akademisk BK —
2-0-0
4.06
1-1-0
3.87
2-0-0
3.35
2-0-0
3.82
0-1-1
2.76
0-1-1
2.74
1-0-1
3.52
2-0-0
3.94
0-1-1
3.00
1-0-1
3.03
2-0-0
3.91
1-1-0
3.83
0-2-0
3.32
1-1-0
3.26
0-1-1
3.31
BK Frem Kobenhavn
0-0-2
1.53
 —
1-1-0
2.31
0-1-1
2.02
0-1-1
2.29
1-0-1
1.61
1-0-1
1.41
0-2-0
1.95
1-0-1
2.62
0-0-2
1.71
0-0-2
1.79
2-0-0
2.47
0-0-2
2.25
1-0-1
1.75
0-1-1
1.76
0-1-1
1.76
Brabrand
0-1-1
1.70
0-1-1
3.21
 —
0-1-1
2.34
0-0-2
2.95
0-0-2
1.76
0-0-2
1.69
0-1-1
2.48
0-1-1
3.06
0-0-2
1.84
0-0-2
2.10
1-0-1
3.04
0-1-1
2.64
0-1-1
2.09
0-1-1
2.48
0-2-0
2.01
FC Fyn
0-0-2
2.17
1-1-0
3.51
1-1-0
3.18
 —
2-0-0
2.99
0-0-2
2.28
0-0-2
1.97
1-1-0
2.59
2-0-0
3.47
0-0-2
2.32
2-0-0
2.27
1-0-1
3.33
1-0-1
2.92
1-1-0
2.46
0-0-2
2.56
0-2-0
2.46
FC Roskilde
0-0-2
1.75
1-1-0
3.23
2-0-0
2.56
0-0-2
2.52
 —
1-0-1
1.76
1-0-1
1.87
1-0-1
2.45
2-0-0
3.08
0-0-2
2.02
0-1-1
1.97
0-1-1
2.92
1-0-1
2.75
0-1-1
2.12
0-1-1
2.32
0-1-1
2.17
Fredericia
1-1-0
2.75
1-0-1
3.97
2-0-0
3.82
2-0-0
3.25
1-0-1
3.81
 —
0-1-1
2.70
2-0-0
3.43
1-0-1
4.15
1-0-1
2.86
2-0-0
2.89
1-0-1
4.02
1-1-0
3.70
1-1-0
3.01
1-0-1
3.26
1-1-0
3.03
Horsens
1-1-0
2.78
1-0-1
4.20
2-0-0
3.88
2-0-0
3.59
1-0-1
3.69
1-1-0
2.81
 —
2-0-0
3.44
1-1-0
4.21
1-0-1
3.01
2-0-0
3.08
2-0-0
4.06
2-0-0
3.59
1-0-1
3.33
2-0-0
3.29
0-0-2
3.44
Hvidovre
1-0-1
2.02
0-2-0
3.59
1-1-0
3.05
0-1-1
2.91
1-0-1
3.06
0-0-2
2.11
0-0-2
2.09
 —
1-1-0
3.40
0-1-1
2.28
1-0-1
2.25
1-0-1
3.44
0-2-0
3.16
0-2-0
2.48
1-0-1
2.58
0-1-1
2.45
Kolding FC
0-0-2
1.64
1-0-1
2.90
1-1-0
2.45
0-0-2
2.06
0-0-2
2.44
1-0-1
1.45
0-1-1
1.41
0-1-1
2.13
 —
1-0-1
1.59
0-1-1
1.72
0-0-2
2.69
1-1-0
2.14
2-0-0
1.73
0-1-1
1.98
1-1-0
1.75
Lyngby
1-1-0
2.52
2-0-0
3.86
2-0-0
3.71
2-0-0
3.19
2-0-0
3.52
1-0-1
2.65
1-0-1
2.51
1-1-0
3.24
1-0-1
3.99
 —
1-1-0
2.78
0-0-2
3.83
2-0-0
3.55
1-1-0
3.02
2-0-0
3.00
0-1-1
2.94
Naestved
1-0-1
2.48
2-0-0
3.78
2-0-0
3.42
0-0-2
3.25
1-1-0
3.57
0-0-2
2.62
0-0-2
2.44
1-0-1
3.27
1-1-0
3.84
0-1-1
2.73
 —
1-0-1
3.70
2-0-0
3.46
1-0-1
2.79
1-1-0
3.02
0-1-1
2.83
Skive
0-0-2
1.67
0-0-2
3.04
1-0-1
2.47
1-0-1
2.20
1-1-0
2.59
1-0-1
1.57
0-0-2
1.54
1-0-1
2.10
2-0-0
2.82
2-0-0
1.74
1-0-1
1.85
 —
2-0-0
2.62
0-1-1
2.05
0-0-2
2.07
1-0-1
1.92
Thisted
0-1-1
1.74
2-0-0
3.27
1-1-0
2.88
1-0-1
2.60
1-0-1
2.76
0-1-1
1.86
0-0-2
1.95
0-2-0
2.36
0-1-1
3.40
0-0-2
1.99
0-0-2
2.07
0-0-2
2.90
 —
1-0-1
2.20
0-0-2
2.27
2-0-0
2.25
Vejle BK
0-2-0
2.21
1-0-1
3.81
1-1-0
3.44
0-1-1
3.06
1-1-0
3.41
0-1-1
2.50
1-0-1
2.21
0-2-0
3.03
0-0-2
3.84
0-1-1
2.50
1-0-1
2.73
1-1-0
3.49
1-0-1
3.32
 —
0-1-1
2.78
0-1-1
2.76
Vestsjaelland
0-1-1
2.26
1-1-0
3.80
1-1-0
3.05
2-0-0
2.95
1-1-0
3.20
1-0-1
2.26
0-0-2
2.23
1-0-1
2.93
1-1-0
3.56
0-0-2
2.51
0-1-1
2.50
2-0-0
3.47
2-0-0
3.25
1-1-0
2.73
 —
1-1-0
2.70
Viborg
1-1-0
2.22
1-1-0
3.80
0-2-0
3.54
0-2-0
3.05
1-1-0
3.35
0-1-1
2.48
2-0-0
2.09
1-1-0
3.07
0-1-1
3.81
1-1-0
2.57
1-1-0
2.68
1-0-1
3.63
0-0-2
3.28
1-1-0
2.75
0-1-1
2.81
 —

Points vs. Goals Scored, Allowed, and Differential

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

Fit Metrics

R² Slope
Scored 0.83 +10.6
Allowed 0.48 -8.0
Differential 0.90 +6.5

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
08.75%8.12%5.83%4.17%1.46%1.04%29.38%
18.12%10.42%6.46%1.88%1.04%1.04%28.96%
25.83%6.46%4.58%3.54%1.88%0.21%22.50%
34.17%1.88%3.54%—0.83%0.21%10.62%
41.46%1.04%1.88%0.83%0.42%—5.62%
5+1.04%1.04%0.21%0.21%—0.42%2.92%
Total29.38%28.96%22.50%10.62%5.62%2.92%100%

Summary Statistics

Scored Allowed Difference
Mean 1.41 1.41 +0.00
SD 1.34 1.34 1.91
CV 0.95 0.95 —
Max 8 8 +7
Min -1 -1 -7

Games Played: 240

↓ Scored | Allowed →012345+Total
020.00%6.67%6.67%3.33%——36.67%
110.00%6.67%3.33%———20.00%
23.33%6.67%3.33%———13.33%
36.67%—3.33%———10.00%
43.33%—13.33%3.33%——20.00%
5+———————
Total43.33%20.00%30.00%6.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 1.00 +0.57
SD 1.57 1.02 1.57
CV 1.00 1.02 —
Max 4 3 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%16.67%3.33%———26.67%
16.67%6.67%3.33%6.67%—6.67%30.00%
23.33%6.67%10.00%3.33%13.33%—36.67%
3——3.33%———3.33%
43.33%—————3.33%
5+———————
Total20.00%30.00%20.00%10.00%13.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.97 -0.70
SD 1.01 1.83 1.95
CV 0.80 0.93 —
Max 4 8 +4
Min 0 0 -7

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%10.00%16.67%10.00%3.33%—50.00%
1—20.00%13.33%3.33%3.33%—40.00%
23.33%—3.33%3.33%——10.00%
3———————
4———————
5+———————
Total13.33%30.00%33.33%16.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.60 1.73 -1.13
SD 0.67 1.11 1.31
CV 1.12 0.64 —
Max 2 4 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%—3.33%10.00%—3.33%26.67%
110.00%10.00%3.33%3.33%3.33%—30.00%
23.33%6.67%—6.67%6.67%—23.33%
33.33%10.00%3.33%———16.67%
4——3.33%———3.33%
5+———————
Total26.67%26.67%13.33%20.00%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.70 -0.30
SD 1.16 1.49 1.97
CV 0.83 0.88 —
Max 4 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%6.67%6.67%10.00%—36.67%
1—10.00%6.67%3.33%——20.00%
213.33%6.67%6.67%6.67%——33.33%
3——6.67%———6.67%
4———————
5+3.33%—————3.33%
Total20.00%26.67%26.67%16.67%10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.70 -0.47
SD 1.22 1.26 2.06
CV 0.99 0.74 —
Max 5 4 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%3.33%———23.33%
116.67%6.67%3.33%—3.33%—30.00%
210.00%6.67%3.33%———20.00%
36.67%3.33%————10.00%
4———————
5+6.67%10.00%————16.67%
Total46.67%40.00%10.00%—3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.87 0.73 +1.13
SD 1.78 0.91 2.10
CV 0.95 1.24 —
Max 6 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%————13.33%
113.33%3.33%3.33%3.33%——23.33%
26.67%13.33%3.33%3.33%——26.67%
36.67%3.33%6.67%———16.67%
46.67%6.67%————13.33%
5+—3.33%3.33%———6.67%
Total36.67%40.00%16.67%6.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.23 0.93 +1.30
SD 1.74 0.91 1.91
CV 0.78 0.97 —
Max 8 3 +7
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%10.00%3.33%6.67%——33.33%
13.33%16.67%6.67%3.33%——30.00%
23.33%3.33%6.67%3.33%3.33%—20.00%
36.67%—3.33%—3.33%—13.33%
4——3.33%———3.33%
5+———————
Total26.67%30.00%23.33%13.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.43 -0.20
SD 1.17 1.22 1.49
CV 0.94 0.85 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%6.67%6.67%—6.67%33.33%
13.33%6.67%6.67%3.33%——20.00%
26.67%3.33%3.33%10.00%3.33%—26.67%
36.67%—6.67%——3.33%16.67%
4————3.33%—3.33%
5+———————
Total26.67%13.33%23.33%20.00%6.67%10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.97 -0.60
SD 1.22 1.63 1.98
CV 0.89 0.83 —
Max 4 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%—3.33%——16.67%
16.67%3.33%3.33%—3.33%—16.67%
26.67%16.67%6.67%———30.00%
33.33%10.00%6.67%—3.33%—23.33%
43.33%—6.67%3.33%——13.33%
5+———————
Total26.67%36.67%23.33%6.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 1.30 +0.70
SD 1.29 1.15 1.56
CV 0.64 0.88 —
Max 4 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%13.33%3.33%3.33%3.33%—26.67%
110.00%13.33%10.00%———33.33%
26.67%3.33%—6.67%——16.67%
313.33%—3.33%———16.67%
4—3.33%————3.33%
5+—3.33%————3.33%
Total33.33%36.67%16.67%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.13 +0.33
SD 1.33 1.11 1.94
CV 0.91 0.98 —
Max 5 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0—10.00%10.00%10.00%—3.33%33.33%
13.33%6.67%3.33%——3.33%16.67%
213.33%3.33%———3.33%20.00%
36.67%3.33%3.33%—3.33%—16.67%
43.33%3.33%—3.33%——10.00%
5+—————3.33%3.33%
Total26.67%26.67%16.67%13.33%3.33%13.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.60 -0.17
SD 1.45 1.65 2.35
CV 1.01 1.03 —
Max 4 5 +4
Min -1 -1 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%6.67%6.67%3.33%3.33%36.67%
16.67%6.67%10.00%—3.33%3.33%30.00%
26.67%6.67%3.33%6.67%——23.33%
3——6.67%———6.67%
4————3.33%—3.33%
5+———————
Total20.00%23.33%26.67%13.33%10.00%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.90 -0.80
SD 1.09 1.49 1.81
CV 0.99 0.79 —
Max 4 5 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%3.33%13.33%———33.33%
110.00%16.67%13.33%3.33%——43.33%
23.33%—6.67%3.33%——13.33%
3——3.33%———3.33%
43.33%—————3.33%
5+3.33%—————3.33%
Total36.67%20.00%36.67%6.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.13 -0.03
SD 1.21 1.01 1.61
CV 1.10 0.89 —
Max 5 3 +5
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%—3.33%—3.33%—16.67%
110.00%10.00%6.67%——3.33%30.00%
23.33%10.00%6.67%3.33%3.33%—26.67%
33.33%———3.33%—6.67%
4—3.33%3.33%3.33%——10.00%
5+3.33%——3.33%—3.33%10.00%
Total30.00%23.33%20.00%10.00%10.00%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.50 +0.23
SD 1.53 1.61 1.98
CV 0.88 1.08 —
Max 5 6 +5
Min -1 -1 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%6.67%6.67%———26.67%
120.00%23.33%6.67%———50.00%
2—10.00%10.00%———20.00%
33.33%—————3.33%
4———————
5+———————
Total36.67%40.00%23.33%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 0.87 +0.13
SD 0.79 0.78 1.01
CV 0.79 0.90 —
Max 3 2 +3
Min 0 0 -2

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 Lyngby 62 48.38 +13.62
2 Horsens 66 52.40 +13.60
3 Skive 41 31.45 +9.55
4 Fredericia 59 50.67 +8.33
5 Vestsjaelland 50 44.41 +5.59

Biggest Disappointments

# Team Actual Sim vsSim
1 Brabrand 13 35.45 -22.45
2 Vejle BK 33 45.12 -12.12
3 Hvidovre 32 40.95 -8.95
4 Thisted 30 36.37 -6.37
5 Naestved 44 47.19 -3.19

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 Skive 5 May 30 – Jun 20 1 in 812
2 Horsens 8 Oct 25 – Apr 5 1 in 286
3 FC Fyn 5 Apr 11 – May 9 1 in 129
4 BK Frem Kobenhavn 3 Jun 6 – Jun 19 1 in 78
5 Naestved 5 Sep 6 – Oct 4 1 in 53

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Brabrand 8 Aug 8 – Sep 27 1 in 2,299
2 Naestved 4 Mar 28 – Apr 11 1 in 73
3 Vejle BK 3 Nov 8 – Mar 20 1 in 35
4 Thisted 5 May 2 – Jun 2 1 in 29
5 BK Frem Kobenhavn 5 Aug 9 – Sep 6 1 in 20

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 BK Frem Kobenhavn 6 Oct 3 – Nov 8 1 in 49
2 Akademisk BK 12 Aug 9 – Oct 25 1 in 43
3 Skive 5 May 30 – Jun 20 1 in 36
4 Viborg 8 Sep 6 – Oct 25 1 in 35
5 FC Roskilde 5 Apr 1 – Apr 18 1 in 34

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Brabrand 21 Aug 8 – May 1 1 in 7,026
2 Vejle BK 13 Apr 1 – Jun 20 1 in 1,293
3 Hvidovre 12 Apr 5 – Jun 13 1 in 283
4 Viborg 7 Apr 9 – May 16 1 in 87
5 Akademisk BK 6 Oct 11 – Nov 16 1 in 49

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
Horsens26.98%18.21%14.39%10.29%8.92%6.42%4.85%3.59%2.37%1.70%1.01%0.54%0.40%0.24%0.06%0.03%
Lyngby10.84%12.37%12.09%12.36%11.07%9.32%8.71%6.98%5.15%4.16%2.62%1.89%1.29%0.74%0.31%0.10%
Fredericia18.15%17.03%13.74%12.34%9.92%8.21%6.11%4.55%3.80%2.40%1.49%1.18%0.59%0.30%0.16%0.03%
Akademisk BK21.47%17.69%14.53%12.02%9.39%7.34%5.51%4.09%3.22%1.96%1.24%0.78%0.39%0.21%0.12%0.04%
Vestsjaelland3.47%5.72%7.10%8.64%9.98%10.56%10.87%10.33%8.86%7.41%5.95%4.75%3.13%1.70%1.09%0.44%
Naestved7.62%9.81%10.92%11.58%11.27%10.59%9.07%7.83%6.54%5.10%3.89%2.58%1.72%0.97%0.27%0.24%
Viborg4.38%6.94%8.74%9.08%9.79%10.55%9.72%9.89%8.77%7.30%5.32%3.73%2.74%1.80%0.93%0.32%
FC Fyn0.98%1.97%3.36%4.46%5.57%6.59%9.00%9.83%10.86%10.84%10.29%8.54%7.22%5.46%3.31%1.72%
Skive0.03%0.11%0.30%0.36%0.67%1.11%1.52%2.58%3.97%5.79%8.29%10.49%14.03%16.01%17.68%17.06%
Vejle BK4.32%6.43%7.97%8.98%9.92%10.66%10.47%9.67%8.95%7.22%5.85%4.14%2.54%1.44%1.02%0.42%
FC Roskilde0.11%0.30%0.87%1.37%2.08%3.30%4.31%5.16%7.44%9.32%10.68%11.95%12.93%12.31%10.60%7.27%
Hvidovre1.11%2.52%3.76%5.04%6.25%7.79%8.72%10.13%9.99%10.82%9.54%8.38%6.52%4.79%3.12%1.52%
Kolding FC0.02%0.03%0.10%0.18%0.42%0.83%1.31%1.89%2.92%4.36%6.16%8.75%11.56%16.08%20.49%24.90%
Thisted0.30%0.52%1.03%1.91%2.54%3.41%4.88%6.45%7.82%9.22%11.47%12.38%11.44%10.86%9.12%6.65%
BK Frem Kobenhavn0.01%0.01%0.08%0.19%0.30%0.64%0.96%1.45%2.40%3.70%5.16%7.52%11.16%14.86%20.85%30.71%
Brabrand0.21%0.34%1.02%1.20%1.91%2.68%3.99%5.58%6.94%8.70%11.04%12.40%12.34%12.23%10.87%8.55%

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
+7.50%
Slight Edge
41.67%24.17%34.17%
Elo Value
Home Edge: 24.65 Elo pts.
141 Elo
0.007 goals per Elo point
0400
Scoring Tilt
Expected
+0.21 goals
Neutral
-2+0.18+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
5.7
Open
124610
Champion Preseason Odds
27%
Horsens, 1st of 16
LongshotFavorite
Title Margin
Expected
0.13/gm
Photo Finish
00.140.5/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 5.59 * Some Luck: 5.59 to 8.39 * Lucky: 8.39 to 11.18 * Wild Swing: 11.18 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 2.05 * Close: 2.05 to 3.07 * Off: 3.07 to 4.09 * Way Off: 4.09 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 1.21 * A Surprise: 1.21 to 1.94 * Several Surprises: 1.94 to 2.67 * Many Surprises: 2.67 and up.
Luck Spread
Expected
9.22 points
Lucky
06.9917
Average Finish Error
Expected
2.12
Close
02.566
Biggest Overachiever
Expected 96.88%
97.71%
Horsens
50100
Biggest Underachiever
Expected 3.12%
0.06%
Brabrand
050
Season Outliers
Expected
4 of 16
Minimal Outliers
01.68
Unexpected Relegations
Expected
3 of 3
Many Surprises
01.23

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 0.12 * 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
0.19
Top-Heavy
00.120.180.260.5
Noll-Scully
Coin-flip
1.73
Strong Separation
01.003
Interquartile Edge
66%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
80%
Clear Edge
50%83%100%
Close Games
Expected
62%
Very Frequent
0%57%100%
Blowouts
Expected
18%
Frequent
0%19%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * 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
0.61
Predictable
00.622
Matchup Imbalance
0.27
Notable Separation
00.10.180.280.5
Strangeness
Expected
1.73
Chaotic
01.002
Repeatability
0.73
Strong Carryover
00.30.60.851
Upset Rate
Expected
23%
Chalky
0%28%50%
Clear Favorite Upset Rate
Expected
21%
As Expected
0%24%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.11 * Near Noise Ceiling: 0.11 to 0.16 * Above Noise: 0.16 to 0.22 * Well Above Noise: 0.22 and up.
Probability calibration
0.93
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.17
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.076
Well Within Noise
00.1080.25

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
Horsens 45.19% 54.48% 0.33%
Akademisk BK 39.16% 60.47% 0.37%
Fredericia 35.18% 64.33% 0.49%
Lyngby 23.21% 75.64% 1.15%
Naestved 17.43% 81.09% 1.48%
Viborg 11.32% 85.63% 3.05%
Vejle BK 10.75% 86.37% 2.88%
Vestsjaelland 9.19% 87.58% 3.23%
Hvidovre 3.63% 86.94% 9.43%
FC Fyn 2.95% 86.56% 10.49%
Thisted 0.82% 72.55% 26.63%
FC Roskilde 0.41% 69.41% 30.18%
Brabrand 0.55% 67.80% 31.65%
Skive 0.14% 49.11% 50.75%
Kolding FC 0.05% 38.48% 61.47%
BK Frem Kobenhavn 0.02% 33.56% 66.42%

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
2009-08-08 Vestsjaelland L 0-1 1496 1476 44.82% 24.24% 30.94% -5.1 0
2009-08-08 @ Brabrand W 1-0 1476 1496 30.94% 24.24% 44.82% +5.1 3
2009-08-09 Akademisk BK L 1-2 1414 1551 24.67% 22.92% 52.41% -3.0 0
2009-08-09 @ Kolding FC W 2-1 1551 1414 52.41% 22.92% 24.67% +3.0 3
2009-08-09 FC Roskilde W 2-1 1510 1457 49.21% 23.59% 27.19% +3.2 3
2009-08-09 @ Viborg L 1-2 1457 1510 27.19% 23.59% 49.21% -3.2 0
2009-08-09 Fredericia W 2-1 1517 1524 41.01% 24.56% 34.43% +4.0 3
2009-08-09 @ Lyngby L 1-2 1524 1517 34.43% 24.56% 41.01% -4.0 0
2009-08-09 Hvidovre W 2-1 1528 1482 48.38% 23.74% 27.88% +3.3 3
2009-08-09 @ Horsens L 1-2 1482 1528 27.88% 23.74% 48.38% -3.3 0
2009-08-09 Naestved L 0-1 1410 1524 27.05% 23.56% 49.39% -3.4 0
2009-08-09 @ BK Frem Kobenhavn W 1-0 1524 1410 49.39% 23.56% 27.05% +3.4 3
2009-08-09 Skive W 5-0 1517 1422 54.73% 22.33% 22.94% +13.0 3
2009-08-09 @ Vejle BK L 0-5 1422 1517 22.94% 22.33% 54.73% -13.0 0
2009-08-09 Thisted L 2-3 1496 1465 46.38% 24.05% 29.57% -4.7 0
2009-08-09 @ FC Fyn W 3-2 1465 1496 29.57% 24.05% 46.38% +4.7 3
2009-08-16 Brabrand W 2-0 1409 1491 30.74% 24.22% 45.04% +9.7 3
2009-08-16 @ Skive L 0-2 1491 1409 45.04% 24.22% 30.74% -9.7 0
2009-08-16 FC Fyn L 0-2 1527 1491 46.94% 23.97% 29.09% -10.0 3
2009-08-16 @ Naestved W 2-0 1491 1527 29.09% 23.97% 46.94% +10.0 3
2009-08-16 BK Frem Kobenhavn W 5-1 1520 1406 57.12% 21.63% 21.25% +8.1 3
2009-08-16 @ Fredericia L 1-5 1406 1520 21.25% 21.63% 57.12% -8.1 0
2009-08-16 Horsens L 0-4 1454 1532 31.30% 24.29% 44.41% -13.9 0
2009-08-16 @ FC Roskilde W 4-0 1532 1454 44.41% 24.29% 31.30% +13.9 6
2009-08-16 Kolding FC W 5-3 1481 1411 51.52% 23.13% 25.35% +4.5 6
2009-08-16 @ Vestsjaelland L 3-5 1411 1481 25.35% 23.13% 51.52% -4.5 0
2009-08-16 Lyngby D 2-2 1554 1521 46.53% 24.03% 29.44% -0.3 4
2009-08-16 @ Akademisk BK D 2-2 1521 1554 29.44% 24.03% 46.53% +0.3 4
2009-08-16 Vejle BK D 1-1 1479 1530 34.77% 24.57% 40.66% +0.1 1
2009-08-16 @ Hvidovre D 1-1 1530 1479 40.66% 24.57% 34.77% -0.1 4
2009-08-16 Viborg W 2-1 1469 1513 35.74% 24.61% 39.65% +4.4 6
2009-08-16 @ Thisted L 1-2 1513 1469 39.65% 24.61% 35.74% -4.4 3
2009-08-22 Hvidovre L 1-2 1481 1479 42.31% 24.47% 33.21% -4.6 0
2009-08-22 @ Brabrand W 2-1 1479 1481 33.21% 24.47% 42.31% +4.6 4
2009-08-23 Akademisk BK D 0-0 1485 1554 32.48% 24.41% 43.10% +0.3 7
2009-08-23 @ Vestsjaelland D 0-0 1554 1485 43.10% 24.41% 32.48% -0.3 5
2009-08-23 FC Roskilde W 4-0 1529 1440 54.03% 22.52% 23.46% +10.7 7
2009-08-23 @ Vejle BK L 0-4 1440 1529 23.46% 22.52% 54.03% -10.7 0
2009-08-23 Fredericia L 0-3 1501 1528 38.15% 24.64% 37.21% -12.4 3
2009-08-23 @ FC Fyn W 3-0 1528 1501 37.21% 24.64% 38.15% +12.4 6
2009-08-23 Lyngby L 1-3 1398 1521 26.04% 23.31% 50.65% -5.4 0
2009-08-23 @ BK Frem Kobenhavn W 3-1 1521 1398 50.65% 23.31% 26.04% +5.4 7
2009-08-23 Naestved D 1-1 1509 1517 40.80% 24.57% 34.64% -0.1 4
2009-08-23 @ Viborg D 1-1 1517 1509 34.64% 24.57% 40.80% +0.1 4
2009-08-23 Skive L 1-2 1407 1419 40.27% 24.59% 35.14% -4.5 0
2009-08-23 @ Kolding FC W 2-1 1419 1407 35.14% 24.59% 40.27% +4.4 6
2009-08-23 Thisted W 1-0 1545 1474 51.78% 23.07% 25.15% +3.2 9
2009-08-23 @ Horsens L 0-1 1474 1545 25.15% 23.07% 51.78% -3.2 6
2009-08-30 Brabrand W 3-2 1430 1477 35.29% 24.60% 40.12% +4.2 3
2009-08-30 @ FC Roskilde L 2-3 1477 1430 40.12% 24.60% 35.29% -4.2 0
2009-08-30 FC Fyn W 2-1 1527 1489 47.25% 23.92% 28.83% +3.4 10
2009-08-30 @ Lyngby L 1-2 1489 1527 28.83% 23.92% 47.25% -3.4 3
2009-08-30 BK Frem Kobenhavn W 4-2 1553 1393 62.68% 19.68% 17.65% +3.3 8
2009-08-30 @ Akademisk BK L 2-4 1393 1553 17.65% 19.68% 62.68% -3.3 0
2009-08-30 Horsens L 1-2 1517 1549 37.47% 24.64% 37.89% -4.2 4
2009-08-30 @ Naestved W 2-1 1549 1517 37.89% 24.64% 37.47% +4.2 12
2009-08-30 Kolding FC D 0-0 1483 1402 53.01% 22.78% 24.22% -0.8 5
2009-08-30 @ Hvidovre D 0-0 1402 1483 24.22% 22.78% 53.01% +0.8 1
2009-08-30 Vestsjaelland L 0-3 1423 1486 33.20% 24.47% 42.32% -11.1 6
2009-08-30 @ Skive W 3-0 1486 1423 42.32% 24.47% 33.20% +11.1 10
2009-08-30 Vejle BK L 2-3 1470 1540 32.28% 24.39% 43.33% -3.5 6
2009-08-30 @ Thisted W 3-2 1540 1470 43.33% 24.39% 32.28% +3.6 10
2009-08-30 Viborg W 1-0 1541 1508 46.45% 24.04% 29.51% +3.7 9
2009-08-30 @ Fredericia L 0-1 1508 1541 29.51% 24.04% 46.45% -3.7 4
2009-09-04 Fredericia D 2-2 1553 1544 43.18% 24.41% 32.41% -0.2 13
2009-09-04 @ Horsens D 2-2 1544 1553 32.41% 24.41% 43.18% +0.2 10
2009-09-05 Thisted L 1-2 1472 1467 42.75% 24.44% 32.80% -4.7 0
2009-09-05 @ Brabrand W 2-1 1467 1472 32.80% 24.44% 42.75% +4.7 9
2009-09-06 Akademisk BK L 3-4 1412 1557 23.91% 22.67% 53.42% -2.7 6
2009-09-06 @ Skive W 4-3 1557 1412 53.42% 22.67% 23.91% +2.7 11
2009-09-06 FC Roskilde L 0-5 1403 1434 37.59% 24.64% 37.77% -19.7 1
2009-09-06 @ Kolding FC W 5-0 1434 1403 37.77% 24.64% 37.59% +19.7 6
2009-09-06 BK Frem Kobenhavn W 3-1 1486 1389 54.91% 22.28% 22.81% +4.8 6
2009-09-06 @ FC Fyn L 1-3 1389 1486 22.81% 22.28% 54.91% -4.8 0
2009-09-06 Hvidovre L 2-4 1497 1483 43.97% 24.33% 31.70% -7.4 10
2009-09-06 @ Vestsjaelland W 4-2 1483 1497 31.70% 24.33% 43.97% +7.4 8
2009-09-06 Lyngby W 1-0 1505 1530 38.34% 24.64% 37.02% +4.4 7
2009-09-06 @ Viborg L 0-1 1530 1505 37.02% 24.64% 38.34% -4.4 10
2009-09-06 Naestved L 0-2 1544 1513 46.28% 24.06% 29.65% -9.9 10
2009-09-06 @ Vejle BK W 2-0 1513 1544 29.65% 24.06% 46.28% +9.9 7
2009-09-13 Brabrand W 3-0 1523 1468 49.57% 23.53% 26.91% +9.3 10
2009-09-13 @ Naestved L 0-3 1468 1523 26.91% 23.53% 49.57% -9.3 0
2009-09-13 FC Fyn W 3-0 1559 1490 51.39% 23.15% 25.45% +8.9 14
2009-09-13 @ Akademisk BK L 0-3 1490 1559 25.45% 23.15% 51.39% -8.9 6
2009-09-13 Horsens W 3-1 1526 1553 38.15% 24.64% 37.21% +7.2 13
2009-09-13 @ Lyngby L 1-3 1553 1526 37.21% 24.64% 38.15% -7.2 13
2009-09-13 Kolding FC D 4-4 1472 1383 53.91% 22.55% 23.54% -0.4 10
2009-09-13 @ Thisted D 4-4 1383 1472 23.54% 22.55% 53.91% +0.4 2
2009-09-13 Skive W 3-0 1490 1409 52.94% 22.79% 24.27% +8.5 11
2009-09-13 @ Hvidovre L 0-3 1409 1490 24.27% 22.79% 52.94% -8.5 6
2009-09-13 Vestsjaelland L 1-2 1453 1489 36.84% 24.64% 38.53% -4.2 6
2009-09-13 @ FC Roskilde W 2-1 1489 1453 38.53% 24.64% 36.84% +4.2 13
2009-09-13 Vejle BK D 1-1 1544 1534 43.48% 24.38% 32.14% -0.3 11
2009-09-13 @ Fredericia D 1-1 1534 1544 32.14% 24.38% 43.48% +0.3 11
2009-09-13 Viborg D 2-2 1385 1509 25.91% 23.28% 50.81% +0.5 1
2009-09-13 @ BK Frem Kobenhavn D 2-2 1509 1385 50.81% 23.28% 25.91% -0.5 8
2009-09-19 FC Fyn D 0-0 1509 1481 45.79% 24.13% 30.08% -0.4 9
2009-09-19 @ Viborg D 0-0 1481 1509 30.08% 24.13% 45.79% +0.4 7
2009-09-19 Fredericia L 0-1 1458 1544 30.28% 24.16% 45.57% -3.8 0
2009-09-19 @ Brabrand W 1-0 1544 1458 45.57% 24.16% 30.28% +3.8 14
2009-09-20 Akademisk BK L 2-4 1499 1568 32.30% 24.40% 43.30% -5.8 11
2009-09-20 @ Hvidovre W 4-2 1568 1499 43.30% 24.40% 32.30% +5.8 17
2009-09-20 FC Roskilde D 1-1 1401 1449 35.09% 24.59% 40.32% +0.1 7
2009-09-20 @ Skive D 1-1 1449 1401 40.32% 24.59% 35.09% -0.1 7
2009-09-20 BK Frem Kobenhavn W 8-1 1545 1385 62.65% 19.69% 17.67% +11.2 16
2009-09-20 @ Horsens L 1-8 1385 1545 17.67% 19.69% 62.65% -11.2 1
2009-09-20 Lyngby D 2-2 1534 1533 42.11% 24.49% 33.40% -0.1 12
2009-09-20 @ Vejle BK D 2-2 1533 1534 33.40% 24.49% 42.11% +0.2 14
2009-09-20 Naestved L 0-3 1384 1532 23.54% 22.55% 53.91% -8.2 2
2009-09-20 @ Kolding FC W 3-0 1532 1384 53.91% 22.55% 23.54% +8.2 13
2009-09-20 Thisted W 5-0 1494 1471 45.12% 24.21% 30.67% +16.8 16
2009-09-20 @ Vestsjaelland L 0-5 1471 1494 30.67% 24.21% 45.12% -16.8 10
2009-09-26 Vejle BK L 0-1 1374 1534 22.47% 22.15% 55.38% -2.9 1
2009-09-26 @ BK Frem Kobenhavn W 1-0 1534 1374 55.38% 22.15% 22.47% +2.9 15
2009-09-27 Brabrand W 3-0 1533 1455 52.67% 22.86% 24.47% +8.5 17
2009-09-27 @ Lyngby L 0-3 1455 1533 24.47% 22.86% 52.67% -8.6 0
2009-09-27 Horsens L 2-3 1482 1557 31.64% 24.33% 44.03% -3.5 7
2009-09-27 @ FC Fyn W 3-2 1557 1482 44.03% 24.33% 31.64% +3.5 19
2009-09-27 Hvidovre L 0-2 1449 1493 35.78% 24.61% 39.61% -8.1 7
2009-09-27 @ FC Roskilde W 2-0 1493 1449 39.61% 24.61% 35.78% +8.1 14
2009-09-27 Kolding FC W 5-0 1548 1375 64.04% 19.13% 16.83% +9.4 17
2009-09-27 @ Fredericia L 0-5 1375 1548 16.83% 19.13% 64.04% -9.4 2
2009-09-27 Skive L 0-2 1454 1401 49.34% 23.57% 27.09% -10.4 10
2009-09-27 @ Thisted W 2-0 1401 1454 27.09% 23.57% 49.34% +10.5 10
2009-09-27 Vestsjaelland W 3-2 1540 1510 46.16% 24.08% 29.76% +3.3 16
2009-09-27 @ Naestved L 2-3 1510 1540 29.76% 24.08% 46.16% -3.3 16
2009-09-27 Viborg D 0-0 1574 1508 50.96% 23.25% 25.80% -0.7 18
2009-09-27 @ Akademisk BK D 0-0 1508 1574 25.80% 23.25% 50.96% +0.7 10
2009-10-03 BK Frem Kobenhavn D 2-2 1446 1371 52.20% 22.97% 24.83% -0.5 1
2009-10-03 @ Brabrand D 2-2 1371 1446 24.83% 22.97% 52.20% +0.5 2
2009-10-04 Akademisk BK L 2-3 1441 1573 25.13% 23.06% 51.81% -2.9 7
2009-10-04 @ FC Roskilde W 3-2 1573 1441 51.81% 23.06% 25.13% +2.9 21
2009-10-04 FC Fyn L 1-3 1537 1478 50.01% 23.44% 26.55% -9.1 15
2009-10-04 @ Vejle BK W 3-1 1478 1537 26.55% 23.44% 50.01% +9.1 10
2009-10-04 Fredericia W 1-0 1507 1557 34.85% 24.58% 40.58% +4.8 19
2009-10-04 @ Vestsjaelland L 0-1 1557 1507 40.58% 24.58% 34.85% -4.7 17
2009-10-04 Lyngby W 3-0 1366 1542 21.10% 21.56% 57.34% +17.1 5
2009-10-04 @ Kolding FC L 0-3 1542 1366 57.34% 21.56% 21.10% -17.1 17
2009-10-04 Naestved L 1-5 1411 1544 25.11% 23.06% 51.83% -9.5 10
2009-10-04 @ Skive W 5-1 1544 1411 51.83% 23.06% 25.11% +9.5 19
2009-10-04 Thisted D 1-1 1501 1444 49.82% 23.48% 26.70% -0.6 15
2009-10-04 @ Hvidovre D 1-1 1444 1501 26.70% 23.48% 49.82% +0.6 11
2009-10-04 Viborg L 0-1 1560 1509 49.03% 23.63% 27.34% -5.5 19
2009-10-04 @ Horsens W 1-0 1509 1560 27.34% 23.63% 49.03% +5.5 13
2009-10-11 Brabrand D 1-1 1488 1446 47.80% 23.84% 28.36% -0.5 11
2009-10-11 @ FC Fyn D 1-1 1446 1488 28.36% 23.84% 47.80% +0.5 2
2009-10-11 FC Roskilde W 3-2 1444 1438 42.86% 24.43% 32.71% +3.6 14
2009-10-11 @ Thisted L 2-3 1438 1444 32.71% 24.43% 42.86% -3.6 7
2009-10-11 Horsens D 0-0 1576 1555 44.98% 24.23% 30.79% -0.4 22
2009-10-11 @ Akademisk BK D 0-0 1555 1576 30.79% 24.23% 44.98% +0.4 20
2009-10-11 Hvidovre L 2-3 1553 1500 49.29% 23.58% 27.13% -5.0 19
2009-10-11 @ Naestved W 3-2 1500 1553 27.13% 23.58% 49.29% +5.0 18
2009-10-11 Kolding FC W 3-2 1372 1383 40.32% 24.59% 35.09% +3.8 5
2009-10-11 @ BK Frem Kobenhavn L 2-3 1383 1372 35.09% 24.59% 40.32% -3.8 5
2009-10-11 Skive W 2-0 1553 1402 61.55% 20.11% 18.34% +4.4 20
2009-10-11 @ Fredericia L 0-2 1402 1553 18.34% 20.11% 61.55% -4.4 10
2009-10-11 Vestsjaelland W 4-3 1525 1512 43.79% 24.35% 31.86% +3.4 20
2009-10-11 @ Lyngby L 3-4 1512 1525 31.86% 24.35% 43.79% -3.4 19
2009-10-17 Akademisk BK D 0-0 1448 1576 25.59% 23.19% 51.22% +0.7 15
2009-10-17 @ Thisted D 0-0 1576 1448 51.22% 23.19% 25.59% -0.7 23
2009-10-17 Viborg D 1-1 1446 1515 32.43% 24.41% 43.16% +0.3 3
2009-10-17 @ Brabrand D 1-1 1515 1446 43.16% 24.41% 32.43% -0.3 14
2009-10-18 FC Fyn L 2-3 1379 1487 27.73% 23.71% 48.56% -3.1 5
2009-10-18 @ Kolding FC W 3-2 1487 1379 48.56% 23.71% 27.73% +3.1 14
2009-10-18 Fredericia L 0-1 1505 1557 34.64% 24.57% 40.80% -4.2 18
2009-10-18 @ Hvidovre W 1-0 1557 1505 40.80% 24.57% 34.64% +4.2 23
2009-10-18 BK Frem Kobenhavn D 1-1 1508 1375 59.45% 20.86% 19.68% -1.0 20
2009-10-18 @ Vestsjaelland D 1-1 1375 1508 19.68% 20.86% 59.45% +1.0 6
2009-10-18 Horsens W 1-0 1528 1555 38.07% 24.64% 37.29% +4.4 18
2009-10-18 @ Vejle BK L 0-1 1555 1528 37.29% 24.64% 38.07% -4.5 20
2009-10-18 Lyngby W 4-3 1397 1528 25.28% 23.10% 51.62% +5.0 13
2009-10-18 @ Skive L 3-4 1528 1397 51.62% 23.10% 25.28% -5.0 20
2009-10-18 Naestved D 1-1 1435 1548 27.07% 23.57% 49.37% +0.5 8
2009-10-18 @ FC Roskilde D 1-1 1548 1435 49.37% 23.57% 27.07% -0.5 20
2009-10-22 Vejle BK W 2-1 1514 1532 39.44% 24.62% 35.94% +4.1 17
2009-10-22 @ Viborg L 1-2 1532 1514 35.94% 24.62% 39.44% -4.1 18
2009-10-25 Brabrand W 4-1 1551 1446 55.93% 21.99% 22.08% +6.5 23
2009-10-25 @ Horsens L 1-4 1446 1551 22.08% 21.99% 55.93% -6.5 3
2009-10-25 FC Roskilde L 0-2 1561 1435 58.62% 21.15% 20.23% -12.0 23
2009-10-25 @ Fredericia W 2-0 1435 1561 20.23% 21.15% 58.62% +12.0 11
2009-10-25 Hvidovre W 3-2 1523 1501 45.07% 24.22% 30.71% +3.4 23
2009-10-25 @ Lyngby L 2-3 1501 1523 30.71% 24.22% 45.07% -3.4 18
2009-10-25 Kolding FC D 2-2 1518 1376 60.53% 20.48% 18.98% -0.8 18
2009-10-25 @ Viborg D 2-2 1376 1518 18.98% 20.48% 60.53% +0.8 6
2009-10-25 Skive W 2-0 1376 1402 38.26% 24.64% 37.11% +8.3 9
2009-10-25 @ BK Frem Kobenhavn L 0-2 1402 1376 37.11% 24.64% 38.26% -8.4 13
2009-10-25 Vestsjaelland L 1-4 1490 1507 39.53% 24.61% 35.85% -10.7 14
2009-10-25 @ FC Fyn W 4-1 1507 1490 35.85% 24.61% 39.53% +10.7 23
2009-10-25 Thisted W 4-1 1548 1449 55.27% 22.18% 22.55% +6.7 23
2009-10-25 @ Naestved L 1-4 1449 1548 22.55% 22.18% 55.27% -6.7 15
2009-10-25 Vejle BK D 1-1 1575 1528 48.47% 23.73% 27.80% -0.5 24
2009-10-25 @ Akademisk BK D 1-1 1528 1575 27.80% 23.73% 48.47% +0.5 19
2009-10-31 Vejle BK L 0-2 1440 1529 29.92% 24.10% 45.98% -7.0 3
2009-10-31 @ Brabrand W 2-0 1529 1440 45.98% 24.10% 29.92% +7.0 22
2009-10-31 Viborg W 2-1 1518 1518 42.05% 24.49% 33.46% +3.9 26
2009-10-31 @ Vestsjaelland L 1-2 1518 1518 33.46% 24.49% 42.05% -3.9 18
2009-11-01 Akademisk BK W 2-0 1554 1574 39.12% 24.63% 36.25% +8.2 26
2009-11-01 @ Naestved L 0-2 1574 1554 36.25% 24.63% 39.12% -8.2 24
2009-11-01 FC Fyn W 3-0 1394 1479 30.33% 24.16% 45.51% +14.2 16
2009-11-01 @ Skive L 0-3 1479 1394 45.51% 24.16% 30.33% -14.2 14
2009-11-01 Fredericia D 0-0 1442 1549 27.79% 23.72% 48.49% +0.6 16
2009-11-01 @ Thisted D 0-0 1549 1442 48.49% 23.72% 27.79% -0.6 24
2009-11-01 BK Frem Kobenhavn D 1-1 1498 1385 57.00% 21.67% 21.33% -0.9 19
2009-11-01 @ Hvidovre D 1-1 1385 1498 21.33% 21.67% 57.00% +0.9 10
2009-11-01 Horsens L 2-3 1377 1557 20.74% 21.39% 57.86% -2.4 6
2009-11-01 @ Kolding FC W 3-2 1557 1377 57.86% 21.39% 20.74% +2.4 26
2009-11-01 Lyngby L 0-4 1447 1527 31.07% 24.26% 44.67% -13.8 11
2009-11-01 @ FC Roskilde W 4-0 1527 1447 44.67% 24.26% 31.07% +13.8 26
2009-11-06 Skive W 2-1 1514 1408 56.08% 21.95% 21.97% +2.7 21
2009-11-06 @ Viborg L 1-2 1408 1514 21.97% 21.95% 56.08% -2.7 16
2009-11-08 Brabrand D 1-1 1566 1433 59.51% 20.84% 19.64% -1.0 25
2009-11-08 @ Akademisk BK D 1-1 1433 1566 19.64% 20.84% 59.51% +1.0 4
2009-11-08 FC Roskilde D 2-2 1386 1433 35.19% 24.59% 40.21% +0.1 11
2009-11-08 @ BK Frem Kobenhavn D 2-2 1433 1386 40.21% 24.59% 35.19% -0.1 12
2009-11-08 Hvidovre D 1-1 1465 1497 37.48% 24.64% 37.88% +0.0 15
2009-11-08 @ FC Fyn D 1-1 1497 1465 37.88% 24.64% 37.48% -0.0 20
2009-11-08 Kolding FC L 0-2 1536 1375 62.72% 19.66% 17.62% -12.7 22
2009-11-08 @ Vejle BK W 2-0 1375 1536 17.62% 19.66% 62.72% +12.7 9
2009-11-08 Naestved W 3-0 1549 1563 39.99% 24.60% 35.41% +11.7 27
2009-11-08 @ Fredericia L 0-3 1563 1549 35.41% 24.60% 39.99% -11.7 26
2009-11-08 Vestsjaelland W 4-0 1559 1522 47.19% 23.93% 28.88% +13.0 29
2009-11-08 @ Horsens L 0-4 1522 1559 28.88% 23.93% 47.19% -13.0 26
2009-11-08 Thisted W 3-2 1540 1443 55.10% 22.23% 22.67% +2.6 29
2009-11-08 @ Lyngby L 2-3 1443 1540 22.67% 22.23% 55.10% -2.6 16
2009-11-14 BK Frem Kobenhavn W 2-0 1440 1386 49.47% 23.55% 26.99% +6.4 19
2009-11-14 @ Thisted L 0-2 1386 1440 26.99% 23.55% 49.47% -6.4 11
2009-11-14 Horsens L 2-5 1406 1572 21.87% 21.90% 56.23% -5.6 16
2009-11-14 @ Skive W 5-2 1572 1406 56.23% 21.90% 21.87% +5.6 32
2009-11-15 Brabrand W 3-0 1387 1434 35.38% 24.60% 40.02% +12.8 12
2009-11-15 @ Kolding FC L 0-3 1434 1387 40.02% 24.60% 35.38% -12.8 4
2009-11-15 FC Fyn L 0-3 1433 1465 37.41% 24.64% 37.95% -12.2 12
2009-11-15 @ FC Roskilde W 3-0 1465 1433 37.95% 24.64% 37.41% +12.2 18
2009-11-15 Lyngby D 1-1 1551 1543 43.11% 24.41% 32.48% -0.2 27
2009-11-15 @ Naestved D 1-1 1543 1551 32.48% 24.41% 43.11% +0.2 30
2009-11-15 Vejle BK W 2-1 1509 1523 40.00% 24.60% 35.40% +4.0 29
2009-11-15 @ Vestsjaelland L 1-2 1523 1509 35.40% 24.60% 40.00% -4.0 22
2009-11-15 Viborg L 0-3 1497 1516 39.17% 24.62% 36.21% -12.6 20
2009-11-15 @ Hvidovre W 3-0 1516 1497 36.21% 24.62% 39.17% +12.6 24
2009-11-16 Fredericia L 0-2 1565 1560 42.66% 24.45% 32.89% -9.3 25
2009-11-16 @ Akademisk BK W 2-0 1560 1565 32.89% 24.45% 42.66% +9.3 30
2010-03-19 Lyngby W 2-1 1578 1543 46.84% 23.98% 29.18% +3.4 35
2010-03-19 @ Horsens L 1-2 1543 1578 29.18% 23.98% 46.84% -3.5 30
2010-03-20 Fredericia L 0-2 1519 1570 34.78% 24.57% 40.65% -7.9 22
2010-03-20 @ Vejle BK W 2-0 1570 1519 40.65% 24.57% 34.78% +7.9 33
2010-03-21 Akademisk BK L 2-4 1477 1556 31.18% 24.27% 44.55% -5.6 18
2010-03-21 @ FC Fyn W 4-2 1556 1477 44.55% 24.27% 31.18% +5.6 28
2010-03-24 BK Frem Kobenhavn W 1-0 1529 1379 61.43% 20.15% 18.42% +2.4 27
2010-03-24 @ Viborg L 0-1 1379 1529 18.42% 20.15% 61.43% -2.3 11
2010-03-28 FC Fyn D 0-0 1377 1472 29.19% 23.99% 46.82% +0.5 12
2010-03-28 @ BK Frem Kobenhavn D 0-0 1472 1377 46.82% 23.99% 29.19% -0.5 19
2010-03-28 Horsens L 1-4 1578 1581 41.43% 24.53% 34.04% -11.1 33
2010-03-28 @ Fredericia W 4-1 1581 1578 34.04% 24.53% 41.43% +11.1 38
2010-03-28 Skive W 3-0 1562 1400 62.79% 19.63% 17.58% +6.1 31
2010-03-28 @ Akademisk BK L 0-3 1400 1562 17.58% 19.63% 62.79% -6.1 16
2010-03-28 Vestsjaelland L 3-4 1484 1513 37.83% 24.64% 37.52% -3.9 20
2010-03-28 @ Hvidovre W 4-3 1513 1484 37.52% 24.64% 37.83% +3.9 32
2010-03-28 Vejle BK L 0-1 1551 1511 47.50% 23.88% 28.61% -5.4 27
2010-03-28 @ Naestved W 1-0 1511 1551 28.61% 23.88% 47.50% +5.4 25
2010-04-01 Skive FW 1517 1394 58.25% 21.27% 20.48% +0.0 35
2010-04-01 @ Vestsjaelland FL 1394 1517 20.48% 21.27% 58.25% +0.0 16
2010-04-01 Akademisk BK L 2-4 1377 1568 19.91% 20.98% 59.11% -3.7 12
2010-04-01 @ BK Frem Kobenhavn W 4-2 1568 1377 59.11% 20.98% 19.91% +3.7 34
2010-04-01 FC Roskilde L 0-2 1421 1421 41.95% 24.50% 33.55% -9.2 4
2010-04-01 @ Brabrand W 2-0 1421 1421 33.55% 24.50% 41.95% +9.2 15
2010-04-01 Fredericia D 1-1 1531 1566 36.96% 24.64% 38.40% +0.0 28
2010-04-01 @ Viborg D 1-1 1566 1531 38.40% 24.64% 36.96% -0.0 34
2010-04-01 Hvidovre L 0-3 1400 1480 31.00% 24.25% 44.75% -10.5 12
2010-04-01 @ Kolding FC W 3-0 1480 1400 44.75% 24.25% 31.00% +10.5 23
2010-04-01 Lyngby L 2-4 1471 1540 32.45% 24.41% 43.13% -5.8 19
2010-04-01 @ FC Fyn W 4-2 1540 1471 43.13% 24.41% 32.45% +5.8 33
2010-04-01 Naestved W 1-0 1593 1545 48.53% 23.72% 27.76% +3.5 41
2010-04-01 @ Horsens L 0-1 1545 1593 27.76% 23.72% 48.53% -3.5 27
2010-04-01 Thisted L 0-2 1516 1446 51.52% 23.13% 25.35% -10.8 25
2010-04-01 @ Vejle BK W 2-0 1446 1516 25.35% 23.13% 51.52% +10.8 22
2010-04-05 Brabrand D 0-0 1491 1412 52.71% 22.85% 24.44% -0.8 24
2010-04-05 @ Hvidovre D 0-0 1412 1491 24.44% 22.85% 52.71% +0.8 5
2010-04-05 FC Fyn W 5-0 1566 1466 55.52% 22.11% 22.37% +12.6 37
2010-04-05 @ Fredericia L 0-5 1466 1566 22.37% 22.11% 55.52% -12.7 19
2010-04-05 BK Frem Kobenhavn W 4-2 1546 1374 63.97% 19.16% 16.87% +3.1 36
2010-04-05 @ Lyngby L 2-4 1374 1546 16.87% 19.16% 63.97% -3.1 12
2010-04-05 Horsens L 0-3 1457 1596 24.47% 22.86% 52.68% -8.6 22
2010-04-05 @ Thisted W 3-0 1596 1457 52.68% 22.86% 24.47% +8.6 44
2010-04-05 Kolding FC W 2-0 1394 1390 42.57% 24.46% 32.97% +7.6 19
2010-04-05 @ Skive L 0-2 1390 1394 32.97% 24.46% 42.57% -7.6 12
2010-04-05 Vestsjaelland W 2-1 1571 1517 49.49% 23.54% 26.97% +3.2 37
2010-04-05 @ Akademisk BK L 1-2 1517 1571 26.97% 23.54% 49.49% -3.2 35
2010-04-05 Vejle BK D 0-0 1430 1505 31.58% 24.32% 44.09% +0.3 16
2010-04-05 @ FC Roskilde D 0-0 1505 1430 44.09% 24.32% 31.58% -0.3 26
2010-04-05 Viborg L 0-1 1542 1531 43.44% 24.38% 32.18% -5.0 27
2010-04-05 @ Naestved W 1-0 1531 1542 32.18% 24.38% 43.44% +5.0 31
2010-04-09 Thisted L 0-1 1536 1449 53.84% 22.57% 23.60% -6.0 31
2010-04-09 @ Viborg W 1-0 1449 1536 23.60% 22.57% 53.84% +6.0 25
2010-04-11 Akademisk BK W 2-1 1549 1575 38.27% 24.64% 37.10% +4.2 39
2010-04-11 @ Lyngby L 1-2 1575 1549 37.10% 24.64% 38.27% -4.2 37
2010-04-11 FC Roskilde L 2-3 1605 1431 64.22% 19.06% 16.72% -6.1 44
2010-04-11 @ Horsens W 3-2 1431 1605 16.72% 19.06% 64.22% +6.1 19
2010-04-11 Fredericia W 1-0 1371 1579 18.52% 20.21% 61.27% +6.6 15
2010-04-11 @ BK Frem Kobenhavn L 0-1 1579 1371 61.27% 20.21% 18.52% -6.6 37
2010-04-11 Hvidovre D 1-1 1505 1490 44.12% 24.32% 31.56% -0.3 27
2010-04-11 @ Vejle BK D 1-1 1490 1505 31.56% 24.32% 44.12% +0.3 25
2010-04-11 Naestved W 1-0 1453 1537 30.50% 24.19% 45.31% +5.2 22
2010-04-11 @ FC Fyn L 0-1 1537 1453 45.31% 24.19% 30.50% -5.2 27
2010-04-11 Vestsjaelland D 0-0 1382 1514 25.18% 23.07% 51.75% +0.7 13
2010-04-11 @ Kolding FC D 0-0 1514 1382 51.75% 23.07% 25.18% -0.7 36
2010-04-14 FC Roskilde D 2-2 1513 1437 52.36% 22.93% 24.70% -0.5 37
2010-04-14 @ Vestsjaelland D 2-2 1437 1513 24.70% 22.93% 52.36% +0.5 20
2010-04-14 Hvidovre W 3-0 1402 1490 29.94% 24.11% 45.96% +14.3 22
2010-04-14 @ Skive L 0-3 1490 1402 45.96% 24.11% 29.94% -14.3 25
2010-04-14 Thisted W 2-1 1383 1455 32.00% 24.37% 43.63% +4.7 16
2010-04-14 @ Kolding FC L 1-2 1455 1383 43.63% 24.37% 32.00% -4.7 25
2010-04-17 Horsens L 0-1 1476 1599 26.10% 23.33% 50.57% -3.3 25
2010-04-17 @ Hvidovre W 1-0 1599 1476 50.57% 23.33% 26.10% +3.3 47
2010-04-18 Brabrand D 0-0 1512 1412 55.40% 22.14% 22.46% -0.9 38
2010-04-18 @ Vestsjaelland D 0-0 1412 1512 22.46% 22.14% 55.40% +0.9 6
2010-04-18 FC Fyn L 1-2 1450 1458 40.83% 24.56% 34.61% -4.5 25
2010-04-18 @ Thisted W 2-1 1458 1450 34.61% 24.56% 40.83% +4.5 25
2010-04-18 BK Frem Kobenhavn W 1-0 1532 1377 61.98% 19.95% 18.08% +2.3 30
2010-04-18 @ Naestved L 0-1 1377 1532 18.08% 19.95% 61.98% -2.3 15
2010-04-18 Kolding FC W 1-0 1570 1388 65.20% 18.65% 16.15% +2.0 40
2010-04-18 @ Akademisk BK L 0-1 1388 1570 16.15% 18.65% 65.20% -2.0 16
2010-04-18 Lyngby W 1-0 1572 1553 44.74% 24.25% 31.01% +3.8 40
2010-04-18 @ Fredericia L 0-1 1553 1572 31.01% 24.25% 44.74% -3.8 39
2010-04-18 Vejle BK D 1-1 1416 1505 29.89% 24.10% 46.01% +0.4 23
2010-04-18 @ Skive D 1-1 1505 1416 46.01% 24.10% 29.89% -0.4 28
2010-04-18 Viborg D 1-1 1437 1530 29.39% 24.02% 46.59% +0.4 21
2010-04-18 @ FC Roskilde D 1-1 1530 1437 46.59% 24.02% 29.39% -0.4 32
2010-04-21 Viborg D 0-0 1549 1530 44.63% 24.26% 31.10% -0.4 40
2010-04-21 @ Lyngby D 0-0 1530 1549 31.10% 24.26% 44.63% +0.4 33
2010-04-24 Akademisk BK D 0-0 1576 1572 42.52% 24.46% 33.02% -0.2 41
2010-04-24 @ Fredericia D 0-0 1572 1576 33.02% 24.46% 42.52% +0.2 41
2010-04-24 Kolding FC D 1-1 1413 1386 45.88% 24.12% 30.01% -0.4 7
2010-04-24 @ Brabrand D 1-1 1386 1413 30.01% 24.12% 45.88% +0.4 17
2010-04-25 FC Roskilde W 1-0 1463 1438 45.46% 24.17% 30.37% +3.8 28
2010-04-25 @ FC Fyn L 0-1 1438 1463 30.37% 24.17% 45.46% -3.8 21
2010-04-25 Hvidovre D 2-2 1530 1473 49.95% 23.45% 26.60% -0.4 34
2010-04-25 @ Viborg D 2-2 1473 1530 26.60% 23.45% 49.95% +0.4 26
2010-04-25 Naestved W 2-1 1549 1534 44.04% 24.33% 31.63% +3.7 43
2010-04-25 @ Lyngby L 1-2 1534 1549 31.63% 24.33% 44.04% -3.7 30
2010-04-25 Skive W 1-0 1602 1416 65.50% 18.52% 15.98% +2.0 50
2010-04-25 @ Horsens L 0-1 1416 1602 15.98% 18.52% 65.50% -2.0 23
2010-04-25 Vestsjaelland D 2-2 1504 1512 40.96% 24.56% 34.48% -0.1 29
2010-04-25 @ Vejle BK D 2-2 1512 1504 34.48% 24.56% 40.96% +0.1 39
2010-04-25 Thisted L 0-1 1375 1445 32.17% 24.38% 43.45% -4.0 15
2010-04-25 @ BK Frem Kobenhavn W 1-0 1445 1375 43.45% 24.38% 32.17% +4.0 28
2010-04-28 Brabrand D 1-1 1449 1413 47.04% 23.95% 29.00% -0.4 29
2010-04-28 @ Thisted D 1-1 1413 1449 29.00% 23.95% 47.04% +0.4 8
2010-04-28 Kolding FC W 2-0 1434 1386 48.62% 23.70% 27.68% +6.6 24
2010-04-28 @ FC Roskilde L 0-2 1386 1434 27.68% 23.70% 48.62% -6.6 17
2010-04-30 Fredericia L 1-2 1530 1576 35.45% 24.60% 39.94% -4.0 30
2010-04-30 @ Naestved W 2-1 1576 1530 39.94% 24.60% 35.45% +4.0 44
2010-04-30 Horsens L 0-2 1512 1604 29.51% 24.04% 46.45% -7.0 39
2010-04-30 @ Vestsjaelland W 2-0 1604 1512 46.45% 24.04% 29.51% +7.0 53
2010-05-01 Akademisk BK L 0-1 1413 1573 22.54% 22.17% 55.29% -2.9 8
2010-05-01 @ Brabrand W 1-0 1573 1413 55.29% 22.17% 22.54% +2.9 44
2010-05-01 Viborg W 2-0 1414 1530 26.84% 23.51% 49.64% +10.5 26
2010-05-01 @ Skive L 0-2 1530 1414 49.64% 23.51% 26.84% -10.5 34
2010-05-02 FC Fyn L 1-2 1473 1466 42.91% 24.43% 32.66% -4.7 26
2010-05-02 @ Hvidovre W 2-1 1466 1473 32.66% 24.43% 42.91% +4.7 31
2010-05-02 BK Frem Kobenhavn W 2-1 1440 1371 51.49% 23.13% 25.38% +3.0 27
2010-05-02 @ FC Roskilde L 1-2 1371 1440 25.38% 23.13% 51.49% -3.1 15
2010-05-02 Lyngby L 0-2 1449 1552 28.22% 23.81% 47.97% -6.7 29
2010-05-02 @ Thisted W 2-0 1552 1449 47.97% 23.81% 28.22% +6.7 46
2010-05-02 Vejle BK W 3-2 1379 1504 25.86% 23.27% 50.87% +5.1 20
2010-05-02 @ Kolding FC L 2-3 1504 1379 50.87% 23.27% 25.86% -5.1 29
2010-05-05 Skive W 2-0 1411 1425 39.96% 24.60% 35.44% +8.1 11
2010-05-05 @ Brabrand L 0-2 1425 1411 35.44% 24.60% 39.96% -8.1 26
2010-05-08 Naestved W 4-0 1576 1526 48.81% 23.67% 27.52% +12.4 47
2010-05-08 @ Akademisk BK L 0-4 1526 1576 27.52% 23.67% 48.81% -12.4 30
2010-05-08 Vestsjaelland D 1-1 1519 1505 44.05% 24.33% 31.62% -0.3 35
2010-05-08 @ Viborg D 1-1 1505 1519 31.62% 24.33% 44.05% +0.3 40
2010-05-09 Brabrand D 0-0 1499 1419 52.92% 22.80% 24.28% -0.8 30
2010-05-09 @ Vejle BK D 0-0 1419 1499 24.28% 22.80% 52.92% +0.8 12
2010-05-09 FC Roskilde W 1-0 1559 1444 57.33% 21.57% 21.11% +2.7 49
2010-05-09 @ Lyngby L 0-1 1444 1559 21.11% 21.57% 57.33% -2.7 27
2010-05-09 Hvidovre D 0-0 1368 1468 28.55% 23.87% 47.57% +0.5 16
2010-05-09 @ BK Frem Kobenhavn D 0-0 1468 1368 47.57% 23.87% 28.55% -0.5 27
2010-05-09 Kolding FC D 1-1 1611 1384 69.84% 16.58% 13.58% -1.5 54
2010-05-09 @ Horsens D 1-1 1384 1611 13.58% 16.58% 69.84% +1.5 21
2010-05-09 Skive W 1-0 1471 1417 49.47% 23.55% 26.99% +3.4 34
2010-05-09 @ FC Fyn L 0-1 1417 1471 26.99% 23.55% 49.47% -3.4 26
2010-05-09 Thisted W 5-1 1580 1442 60.03% 20.66% 19.31% +7.4 47
2010-05-09 @ Fredericia L 1-5 1442 1580 19.31% 20.66% 60.03% -7.4 29
2010-05-15 Akademisk BK D 0-0 1498 1588 29.82% 24.09% 46.10% +0.4 31
2010-05-15 @ Vejle BK D 0-0 1588 1498 46.10% 24.09% 29.82% -0.4 48
2010-05-15 Horsens L 0-2 1419 1609 19.94% 21.00% 59.06% -4.8 12
2010-05-15 @ Brabrand W 2-0 1609 1419 59.06% 21.00% 19.94% +4.8 57
2010-05-16 FC Fyn W 2-0 1505 1474 46.25% 24.07% 29.68% +7.0 43
2010-05-16 @ Vestsjaelland L 0-2 1474 1505 29.68% 24.07% 46.25% -7.0 34
2010-05-16 Fredericia L 0-1 1441 1587 23.70% 22.61% 53.69% -3.0 27
2010-05-16 @ FC Roskilde W 1-0 1587 1441 53.69% 22.61% 23.70% +3.0 50
2010-05-16 BK Frem Kobenhavn L 0-1 1413 1368 48.20% 23.77% 28.03% -5.4 26
2010-05-16 @ Skive W 1-0 1368 1413 28.03% 23.77% 48.20% +5.4 19
2010-05-16 Lyngby D 0-0 1468 1562 29.30% 24.01% 46.69% +0.5 28
2010-05-16 @ Hvidovre D 0-0 1562 1468 46.69% 24.01% 29.30% -0.5 50
2010-05-16 Naestved L 0-3 1435 1514 31.13% 24.27% 44.60% -10.6 29
2010-05-16 @ Thisted W 3-0 1514 1435 44.60% 24.27% 31.13% +10.6 33
2010-05-16 Viborg W 2-0 1386 1519 25.01% 23.02% 51.97% +10.9 24
2010-05-16 @ Kolding FC L 0-2 1519 1386 51.97% 23.02% 25.01% -10.9 35
2010-05-19 Akademisk BK W 3-0 1614 1588 45.69% 24.14% 30.17% +10.3 60
2010-05-19 @ Horsens L 0-3 1588 1614 30.17% 24.14% 45.69% -10.3 48
2010-05-20 Naestved L 1-2 1415 1524 27.51% 23.66% 48.83% -3.3 12
2010-05-20 @ Brabrand W 2-1 1524 1415 48.83% 23.66% 27.51% +3.3 36
2010-05-24 FC Roskilde W 3-0 1528 1438 54.11% 22.50% 23.39% +8.2 39
2010-05-24 @ Naestved L 0-3 1438 1528 23.39% 22.50% 54.11% -8.2 27
2010-05-24 Hvidovre W 3-1 1591 1468 58.16% 21.30% 20.54% +4.3 53
2010-05-24 @ Fredericia L 1-3 1468 1591 20.54% 21.30% 58.16% -4.3 28
2010-05-24 Kolding FC W 4-2 1467 1397 51.63% 23.10% 25.27% +4.7 37
2010-05-24 @ FC Fyn L 2-4 1397 1467 25.27% 23.10% 51.63% -4.7 24
2010-05-24 Vestsjaelland L 2-4 1374 1512 24.53% 22.88% 52.60% -4.6 19
2010-05-24 @ BK Frem Kobenhavn W 4-2 1512 1374 52.60% 22.88% 24.53% +4.6 46
2010-05-24 Vejle BK W 2-1 1624 1499 58.56% 21.17% 20.28% +2.5 63
2010-05-24 @ Horsens L 1-2 1499 1624 20.28% 21.17% 58.56% -2.5 31
2010-05-29 FC Fyn L 1-3 1411 1472 33.44% 24.49% 42.06% -6.7 12
2010-05-29 @ Brabrand W 3-1 1472 1411 42.06% 24.49% 33.44% +6.7 40
2010-05-30 Fredericia W 1-0 1408 1595 20.17% 21.12% 58.71% +6.4 29
2010-05-30 @ Skive L 0-1 1595 1408 58.71% 21.12% 20.17% -6.4 53
2010-05-30 BK Frem Kobenhavn W 3-2 1392 1369 45.17% 24.20% 30.63% +3.4 27
2010-05-30 @ Kolding FC L 2-3 1369 1392 30.63% 24.20% 45.17% -3.4 19
2010-05-30 Lyngby L 1-2 1517 1561 35.62% 24.61% 39.77% -4.0 46
2010-05-30 @ Vestsjaelland W 2-1 1561 1517 39.77% 24.61% 35.62% +4.0 53
2010-05-30 Naestved L 0-1 1464 1536 32.00% 24.37% 43.63% -4.0 28
2010-05-30 @ Hvidovre W 1-0 1536 1464 43.63% 24.37% 32.00% +4.0 42
2010-05-30 Thisted W 2-1 1430 1424 42.71% 24.45% 32.84% +3.8 30
2010-05-30 @ FC Roskilde L 1-2 1424 1430 32.84% 24.45% 42.71% -3.8 29
2010-06-02 Skive L 1-4 1565 1414 61.59% 20.09% 18.32% -15.3 53
2010-06-02 @ Lyngby W 4-1 1414 1565 18.32% 20.09% 61.59% +15.3 32
2010-06-02 Thisted W 1-0 1577 1421 62.25% 19.84% 17.91% +2.3 51
2010-06-02 @ Akademisk BK L 0-1 1421 1577 17.91% 19.84% 62.25% -2.3 29
2010-06-04 Horsens W 1-0 1508 1627 26.54% 23.44% 50.02% +5.6 38
2010-06-04 @ Viborg L 0-1 1627 1508 50.02% 23.44% 26.54% -5.6 63
2010-06-05 Vestsjaelland W 6-1 1588 1513 52.32% 22.94% 24.74% +11.5 56
2010-06-05 @ Fredericia L 1-6 1513 1588 24.74% 22.94% 52.32% -11.5 46
2010-06-06 Brabrand W 4-0 1366 1405 36.43% 24.63% 38.94% +16.4 22
2010-06-06 @ BK Frem Kobenhavn L 0-4 1405 1366 38.94% 24.63% 36.43% -16.4 12
2010-06-06 FC Roskilde W 2-0 1580 1433 61.02% 20.30% 18.68% +4.5 54
2010-06-06 @ Akademisk BK L 0-2 1433 1580 18.68% 20.30% 61.02% -4.5 30
2010-06-06 Hvidovre D 2-2 1418 1460 36.03% 24.62% 39.35% +0.1 30
2010-06-06 @ Thisted D 2-2 1460 1418 39.35% 24.62% 36.03% -0.1 29
2010-06-06 Kolding FC W 3-1 1550 1395 61.99% 19.94% 18.07% +3.8 56
2010-06-06 @ Lyngby L 1-3 1395 1550 18.07% 19.94% 61.99% -3.8 27
2010-06-06 Skive L 2-3 1540 1430 56.68% 21.77% 21.56% -5.5 42
2010-06-06 @ Naestved W 3-2 1430 1540 21.56% 21.77% 56.68% +5.5 35
2010-06-06 Vejle BK D 0-0 1479 1496 39.46% 24.62% 35.92% -0.1 41
2010-06-06 @ FC Fyn D 0-0 1496 1479 35.92% 24.62% 39.46% +0.1 32
2010-06-09 Viborg D 0-0 1497 1514 39.50% 24.62% 35.88% -0.1 33
2010-06-09 @ Vejle BK D 0-0 1514 1497 35.88% 24.62% 39.50% +0.1 39
2010-06-13 Akademisk BK W 1-0 1514 1584 32.23% 24.39% 43.38% +5.0 42
2010-06-13 @ Viborg L 0-1 1584 1514 43.38% 24.39% 32.23% -5.0 54
2010-06-13 FC Fyn W 3-1 1621 1479 60.60% 20.46% 18.95% +4.0 66
2010-06-13 @ Horsens L 1-3 1479 1621 18.95% 20.46% 60.60% -4.0 41
2010-06-13 FC Roskilde L 0-2 1460 1429 46.31% 24.06% 29.63% -9.9 29
2010-06-13 @ Hvidovre W 2-0 1429 1460 29.63% 24.06% 46.31% +9.9 33
2010-06-13 Fredericia W 1-0 1392 1600 18.53% 20.22% 61.25% +6.6 30
2010-06-13 @ Kolding FC L 0-1 1600 1392 61.25% 20.22% 18.53% -6.6 56
2010-06-13 BK Frem Kobenhavn L 1-2 1496 1382 57.16% 21.62% 21.22% -5.9 33
2010-06-13 @ Vejle BK W 2-1 1382 1496 21.22% 21.62% 57.16% +5.9 25
2010-06-13 Lyngby L 0-2 1388 1554 21.98% 21.95% 56.07% -5.3 12
2010-06-13 @ Brabrand W 2-0 1554 1388 56.07% 21.95% 21.98% +5.3 59
2010-06-13 Naestved D 1-1 1501 1534 37.23% 24.64% 38.13% +0.0 47
2010-06-13 @ Vestsjaelland D 1-1 1534 1501 38.13% 24.64% 37.23% -0.0 43
2010-06-13 Thisted W 4-0 1435 1418 44.33% 24.30% 31.38% +13.9 38
2010-06-13 @ Skive L 0-4 1418 1435 31.38% 24.30% 44.33% -13.9 30
2010-06-16 Brabrand D 1-1 1519 1383 59.82% 20.74% 19.45% -1.0 43
2010-06-16 @ Viborg D 1-1 1383 1519 19.45% 20.74% 59.82% +1.0 13
2010-06-19 Horsens W 2-1 1388 1625 16.53% 18.92% 64.54% +6.5 28
2010-06-19 @ BK Frem Kobenhavn L 1-2 1625 1388 64.54% 18.92% 16.53% -6.5 66
2010-06-20 Brabrand W 2-1 1593 1384 68.07% 17.39% 14.53% +1.7 59
2010-06-20 @ Fredericia L 1-2 1384 1593 14.53% 17.39% 68.07% -1.7 13
2010-06-20 Hvidovre L 0-1 1579 1450 58.98% 21.02% 19.99% -6.4 54
2010-06-20 @ Akademisk BK W 1-0 1450 1579 19.99% 21.02% 58.98% +6.4 32
2010-06-20 Kolding FC D 0-0 1534 1398 59.80% 20.74% 19.46% -1.2 44
2010-06-20 @ Naestved D 0-0 1398 1534 19.46% 20.74% 59.80% +1.2 31
2010-06-20 Skive L 1-3 1439 1449 40.53% 24.58% 34.89% -7.7 33
2010-06-20 @ FC Roskilde W 3-1 1449 1439 34.89% 24.58% 40.53% +7.7 41
2010-06-20 Vestsjaelland L 0-1 1404 1501 28.99% 23.95% 47.05% -3.6 30
2010-06-20 @ Thisted W 1-0 1501 1404 47.05% 23.95% 28.99% +3.6 50
2010-06-20 Vejle BK W 1-0 1559 1491 51.35% 23.16% 25.49% +3.2 62
2010-06-20 @ Lyngby L 0-1 1491 1559 25.49% 23.16% 51.35% -3.2 33
2010-06-20 Viborg D 1-1 1475 1518 35.82% 24.61% 39.57% +0.1 42
2010-06-20 @ FC Fyn D 1-1 1518 1475 39.57% 24.61% 35.82% -0.1 44

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 2010-06-19 16.53% @ BK Frem Kobenhavn 1388 2 Horsens 1625 1
2 2010-04-11 16.72% FC Roskilde 1431 3 @ Horsens 1605 2
3 2009-11-08 17.62% Kolding FC 1375 2 @ Vejle BK 1536 0
4 2010-06-02 18.32% Skive 1414 4 @ Lyngby 1565 1
5 2010-04-11 18.52% @ BK Frem Kobenhavn 1371 1 Fredericia 1579 0
6 2010-06-13 18.53% @ Kolding FC 1392 1 Fredericia 1600 0
7 2010-06-20 19.99% Hvidovre 1450 1 @ Akademisk BK 1579 0
8 2010-05-30 20.17% @ Skive 1408 1 Fredericia 1595 0
9 2009-10-25 20.23% FC Roskilde 1435 2 @ Fredericia 1561 0
10 2009-10-04 21.10% @ Kolding FC 1366 3 Lyngby 1542 0
11 2010-06-13 21.22% BK Frem Kobenhavn 1382 2 @ Vejle BK 1496 1
12 2010-06-06 21.56% Skive 1430 3 @ Naestved 1540 2
13 2010-04-09 23.60% Thisted 1449 1 @ Viborg 1536 0
14 2010-05-16 25.01% @ Kolding FC 1386 2 Viborg 1519 0
15 2009-10-18 25.28% @ Skive 1397 4 Lyngby 1528 3
16 2010-04-01 25.35% Thisted 1446 2 @ Vejle BK 1516 0
17 2010-05-02 25.86% @ Kolding FC 1379 3 Vejle BK 1504 2
18 2010-06-04 26.54% @ Viborg 1508 1 Horsens 1627 0
19 2009-10-04 26.55% FC Fyn 1478 3 @ Vejle BK 1537 1
20 2010-05-01 26.84% @ Skive 1414 2 Viborg 1530 0
21 2009-09-27 27.09% Skive 1401 2 @ Thisted 1454 0
22 2009-10-11 27.13% Hvidovre 1500 3 @ Naestved 1553 2
23 2009-10-04 27.34% Viborg 1509 1 @ Horsens 1560 0
24 2010-05-16 28.03% BK Frem Kobenhavn 1368 1 @ Skive 1413 0
25 2010-03-28 28.61% Vejle BK 1511 1 @ Naestved 1551 0

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2009-09-06 19.73 FC Roskilde 5 1434 37.77% @ Kolding FC 0 1403 37.59% 24.64%
2 2009-10-04 17.14 @ Kolding FC 3 1366 21.10% Lyngby 0 1542 57.34% 21.56%
3 2009-09-20 16.81 @ Vestsjaelland 5 1494 45.12% Thisted 0 1471 30.67% 24.21%
4 2010-06-06 16.44 @ BK Frem Kobenhavn 4 1366 36.43% Brabrand 0 1405 38.94% 24.63%
5 2010-06-02 15.31 Skive 4 1414 18.32% @ Lyngby 1 1565 61.59% 20.09%
6 2010-04-14 14.33 @ Skive 3 1402 29.94% Hvidovre 0 1490 45.96% 24.11%
7 2009-11-01 14.21 @ Skive 3 1394 30.33% FC Fyn 0 1479 45.51% 24.16%
8 2010-06-13 13.89 @ Skive 4 1435 44.33% Thisted 0 1418 31.38% 24.30%
9 2009-08-16 13.87 Horsens 4 1532 44.41% @ FC Roskilde 0 1454 31.30% 24.29%
10 2009-11-01 13.78 Lyngby 4 1527 44.67% @ FC Roskilde 0 1447 31.07% 24.26%
11 2009-08-09 12.96 @ Vejle BK 5 1517 54.73% Skive 0 1422 22.94% 22.33%
12 2009-11-08 12.96 @ Horsens 4 1559 47.19% Vestsjaelland 0 1522 28.88% 23.93%
13 2009-11-15 12.85 @ Kolding FC 3 1387 35.38% Brabrand 0 1434 40.02% 24.60%
14 2009-11-08 12.68 Kolding FC 2 1375 17.62% @ Vejle BK 0 1536 62.72% 19.66%
15 2010-04-05 12.65 @ Fredericia 5 1566 55.52% FC Fyn 0 1466 22.37% 22.11%
16 2009-11-15 12.64 Viborg 3 1516 36.21% @ Hvidovre 0 1497 39.17% 24.62%
17 2010-05-08 12.43 @ Akademisk BK 4 1576 48.81% Naestved 0 1526 27.52% 23.67%
18 2009-08-23 12.39 Fredericia 3 1528 37.21% @ FC Fyn 0 1501 38.15% 24.64%
19 2009-11-15 12.21 FC Fyn 3 1465 37.95% @ FC Roskilde 0 1433 37.41% 24.64%
20 2009-10-25 12.02 FC Roskilde 2 1435 20.23% @ Fredericia 0 1561 58.62% 21.15%
21 2009-11-08 11.71 @ Fredericia 3 1549 39.99% Naestved 0 1563 35.41% 24.60%
22 2010-06-05 11.53 @ Fredericia 6 1588 52.32% Vestsjaelland 1 1513 24.74% 22.94%
23 2009-09-20 11.21 @ Horsens 8 1545 62.65% BK Frem Kobenhavn 1 1385 17.67% 19.69%
24 2010-03-28 11.14 Horsens 4 1581 34.04% @ Fredericia 1 1578 41.43% 24.53%
25 2009-08-30 11.13 Vestsjaelland 3 1486 42.32% @ Skive 0 1423 33.20% 24.47%