Home / Leagues / Denmark / Superliga / 2008-09
‹ ›

2008-09 Superliga Season

198 games

Final

Champion

FC Copenhagen

74 points · 7th Title

Last Title: 2006-07

Relegated

Horsens

24 pts

Vejle BK · 25 pts

Biggest Overachiever

Brondby

14.49 points above expected

68 points · 53.51 expected points

Biggest Disappointment

Horsens

12.77 points below expected

24 points · 36.77 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 FC Copenhagen Champion 33 23 5 5 74 67 26 +41 61.27 +12.73
2 Odense 33 21 6 6 69 65 31 +34 57.88 +11.12
3 Brondby 33 21 5 7 68 55 31 +24 53.51 +14.49
4 Midtjylland 33 16 7 10 55 55 46 +9 52.17 +2.83
5 Randers 33 11 13 9 46 52 50 +2 45.07 +0.93
6 Aarhus GF 33 13 6 14 45 39 44 -5 38.12 +6.88
7 Aalborg 33 9 12 12 39 40 49 -9 48.20 -9.20
8 Nordsjaelland 33 9 8 16 35 44 53 -9 41.75 -6.75
9 Esbjerg 33 7 11 15 32 32 41 -9 39.89 -7.89
10 Sonderjyske 33 5 13 15 28 30 56 -26 31.11 -3.11
11 Vejle BK Relegated 33 4 13 16 25 30 59 -29 35.33 -10.33
12 Horsens Relegated 33 5 9 19 24 35 58 -23 36.77 -12.77

Going into Phase 2, the championship group halved its Phase 1 points (rounded up); the relegation group kept its full Phase 1 points. Each group then played its own round-robin to determine final standings.

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 Brondby 68 53.51 +14.49
2 FC Copenhagen 74 61.27 +12.73
3 Odense 69 57.88 +11.12
4 Aarhus GF 45 38.12 +6.88
5 Midtjylland 55 52.17 +2.83

Biggest Disappointments

# Team Actual Sim vsSim
1 Horsens 24 36.77 -12.77
2 Vejle BK 25 35.33 -10.33
3 Aalborg 39 48.20 -9.20
4 Esbjerg 32 39.89 -7.89
5 Nordsjaelland 35 41.75 -6.75

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 Aalborg 5 Nov 16 – Mar 1 1 in 213
2 Randers 5 Apr 13 – May 3 1 in 165
3 Aarhus GF 3 Apr 19 – Apr 26 1 in 36
4 Sonderjyske 2 Apr 27 – May 3 1 in 26
5 Horsens 2 Mar 8 – Mar 15 1 in 25

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Midtjylland 3 Apr 19 – Apr 27 1 in 89
2 Sonderjyske 6 Mar 22 – Apr 22 1 in 56
3 Brondby 3 May 17 – May 31 1 in 42
4 Horsens 4 Nov 23 – Mar 1 1 in 36
5 Nordsjaelland 5 Apr 19 – May 9 1 in 33

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Aalborg 12 Oct 26 – Apr 5 1 in 255
2 Sonderjyske 7 Apr 27 – May 31 1 in 171
3 Brondby 12 Aug 31 – Dec 6 1 in 100
4 Esbjerg 7 Nov 23 – Mar 22 1 in 44
5 Odense 12 Apr 6 – May 31 1 in 20

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Aalborg 11 Apr 9 – May 31 1 in 304
2 Vejle BK 17 Aug 17 – Mar 22 1 in 217
3 Randers 8 Aug 10 – Oct 26 1 in 77
4 Horsens 12 Sep 14 – Mar 1 1 in 69
5 Nordsjaelland 9 Nov 2 – Mar 15 1 in 37

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
FC Copenhagen 1923 74 +24 10 9.5 +0.5
Odense 1880 69 +4 9 9.4 -0.4
Brondby 1803 68 -33 6 8.2 -2.2
Midtjylland 1766 55 +22 10 6.9 +3.1
Randers 1724 46 -8 6 6.2 -0.2
Aarhus GF 1686 45 +17 8 6.2 +1.8
Aalborg 1694 39 -11 4 7.8 -3.8
Nordsjaelland 1666 35 +15 8 7.0 +1.0
Esbjerg 1676 32 -15 4 5.7 -1.7
Sonderjyske 1579 28 +7 5 5.0 +0.0
Vejle BK 1571 25 -7 5 5.3 -0.3
Horsens 1585 24 -14 2 4.7 -2.7

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team AAL AG BRO ESB FC HOR MID NOR ODE RAN SON VB
Aalborg —
1-1-1
5.27
0-1-2
3.31
1-1-1
4.87
1-0-2
2.46
1-2-0
5.27
1-0-2
4.06
0-2-1
4.72
0-1-2
3.63
1-1-1
3.69
1-2-0
5.25
2-1-0
4.66
Aarhus GF
1-1-1
2.91
—
2-0-1
2.93
1-0-2
3.59
1-0-2
1.99
2-1-0
4.14
1-0-2
2.45
1-1-1
4.26
1-0-2
2.29
0-1-2
3.25
2-1-0
5.07
1-1-1
4.91
Brondby
2-1-0
4.85
1-0-2
5.26
—
3-0-0
5.51
1-0-2
3.66
2-0-1
5.21
1-1-1
4.43
3-0-0
4.68
2-1-0
3.41
2-0-1
5.19
2-1-0
5.76
2-1-0
5.41
Esbjerg
1-1-1
3.29
2-0-1
4.57
0-0-3
2.68
—
1-0-2
2.17
1-1-1
4.52
1-1-1
2.78
0-2-1
4.19
0-0-3
2.56
0-2-1
3.22
0-3-0
5.14
1-1-1
4.92
FC Copenhagen
2-0-1
5.76
2-0-1
6.30
2-0-1
4.49
2-0-1
6.10
—
3-0-0
6.08
3-0-0
4.90
3-0-0
6.14
1-1-1
4.72
1-2-0
5.25
2-1-0
6.22
2-1-0
5.78
Horsens
0-2-1
2.90
0-1-2
4.00
1-0-2
3.00
1-1-1
3.63
0-0-3
2.19
—
0-0-3
2.57
1-0-2
3.29
1-0-2
2.33
0-2-1
3.49
1-0-2
5.07
0-3-0
4.30
Midtjylland
2-0-1
4.09
2-0-1
5.78
1-1-1
3.72
1-1-1
5.41
0-0-3
3.27
3-0-0
5.64
—
3-0-0
5.20
1-1-1
3.63
1-1-1
4.46
0-2-1
5.81
2-1-0
5.59
Nordsjaelland
1-2-0
3.44
1-1-1
3.88
0-0-3
3.48
1-2-0
3.96
0-0-3
2.14
2-0-1
4.87
0-0-3
2.99
—
0-0-3
2.65
1-1-1
3.71
1-1-1
5.02
2-1-0
4.73
Odense
2-1-0
4.54
2-0-1
5.95
0-1-2
4.75
3-0-0
5.65
1-1-1
3.43
2-0-1
5.95
1-1-1
4.52
3-0-0
5.55
—
2-1-0
5.38
2-1-0
6.55
3-0-0
5.41
Randers
1-1-1
4.46
2-1-0
4.90
1-0-2
2.99
1-2-0
4.93
0-2-1
2.96
1-2-0
4.66
1-1-1
3.71
1-1-1
4.44
0-1-2
2.80
—
2-0-1
5.12
1-2-0
5.45
Sonderjyske
0-2-1
2.93
0-1-2
3.09
0-1-2
2.48
0-3-0
3.03
0-1-2
2.08
2-0-1
3.10
1-2-0
2.43
1-1-1
3.15
0-1-2
1.78
1-0-2
3.04
—
0-1-2
3.47
Vejle BK
0-1-2
3.52
1-1-1
3.24
0-1-2
2.83
1-1-1
3.25
0-1-2
2.48
0-3-0
3.84
0-1-2
2.61
0-1-2
3.42
0-0-3
2.81
0-2-1
2.75
2-1-0
4.69
—

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 0.89 +12.7
Allowed 0.83 -14.6
Differential 0.96 +7.6

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
07.58%6.57%4.04%4.29%0.76%0.51%23.74%
16.57%16.16%9.85%4.29%1.01%1.01%38.89%
24.04%9.85%3.03%2.78%0.76%0.25%20.71%
34.29%4.29%2.78%0.51%0.25%—12.12%
40.76%1.01%0.76%0.25%——2.78%
5+0.51%1.01%0.25%———1.77%
Total23.74%38.89%20.71%12.12%2.78%1.77%100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.37 +0.00
SD 1.18 1.18 1.76
CV 0.86 0.86 —
Max 6 6 +6
Min 0 0 -6

Games Played: 198

↓ Scored | Allowed →012345+Total
06.06%3.03%6.06%9.09%——24.24%
13.03%21.21%15.15%3.03%——42.42%
2—12.12%9.09%———21.21%
33.03%3.03%6.06%———12.12%
4———————
5+———————
Total12.12%39.39%36.36%12.12%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.21 1.48 -0.27
SD 0.96 0.87 1.40
CV 0.79 0.59 —
Max 3 3 +3
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%9.09%3.03%3.03%——21.21%
112.12%12.12%15.15%6.06%—3.03%48.48%
23.03%15.15%—3.03%——21.21%
33.03%6.06%————9.09%
4———————
5+———————
Total24.24%42.42%18.18%12.12%—3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.18 1.33 -0.15
SD 0.88 1.27 1.62
CV 0.75 0.95 —
Max 3 6 +3
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%6.06%—6.06%3.03%—24.24%
115.15%3.03%3.03%———21.21%
215.15%15.15%3.03%—3.03%—36.36%
36.06%3.03%————9.09%
4———3.03%——3.03%
5+3.03%3.03%————6.06%
Total48.48%30.30%6.06%9.09%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 0.94 +0.73
SD 1.45 1.22 2.00
CV 0.87 1.30 —
Max 6 4 +6
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%18.18%————24.24%
112.12%24.24%18.18%6.06%——60.61%
23.03%—3.03%—3.03%—9.09%
3—3.03%3.03%———6.06%
4———————
5+———————
Total21.21%45.45%24.24%6.06%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.24 -0.27
SD 0.77 0.97 1.04
CV 0.79 0.78 —
Max 3 4 +2
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%6.06%3.03%———12.12%
115.15%9.09%—3.03%——27.27%
23.03%15.15%—3.03%——21.21%
318.18%6.06%—3.03%——27.27%
46.06%3.03%————9.09%
5+——3.03%———3.03%
Total45.45%39.39%6.06%9.09%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.03 0.79 +1.24
SD 1.31 0.93 1.64
CV 0.65 1.18 —
Max 5 3 +4
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%15.15%6.06%3.03%——30.30%
13.03%15.15%9.09%9.09%—3.03%39.39%
23.03%6.06%6.06%6.06%—3.03%24.24%
33.03%———3.03%—6.06%
4———————
5+———————
Total15.15%36.36%21.21%18.18%3.03%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.06 1.76 -0.70
SD 0.90 1.35 1.42
CV 0.85 0.77 —
Max 3 5 +3
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%3.03%3.03%6.06%——15.15%
13.03%18.18%9.09%3.03%——33.33%
26.06%15.15%—3.03%3.03%—27.27%
33.03%6.06%9.09%———18.18%
43.03%—3.03%———6.06%
5+———————
Total18.18%42.42%24.24%12.12%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.39 +0.27
SD 1.14 1.03 1.64
CV 0.68 0.74 —
Max 4 4 +4
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%9.09%6.06%9.09%——30.30%
1—15.15%12.12%6.06%3.03%—36.36%
2—9.09%3.03%3.03%——15.15%
33.03%6.06%3.03%———12.12%
4—3.03%————3.03%
5+—3.03%————3.03%
Total9.09%45.45%24.24%18.18%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.61 -0.27
SD 1.38 1.00 1.88
CV 1.04 0.62 —
Max 6 4 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%6.06%——3.03%—18.18%
13.03%9.09%9.09%———21.21%
29.09%18.18%————27.27%
36.06%12.12%3.03%———21.21%
4—3.03%3.03%———6.06%
5+3.03%3.03%————6.06%
Total30.30%51.52%15.15%—3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.97 0.94 +1.03
SD 1.49 0.86 1.79
CV 0.76 0.92 —
Max 6 4 +5
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%3.03%3.03%6.06%——18.18%
13.03%21.21%9.09%3.03%—3.03%39.39%
23.03%6.06%9.09%———18.18%
33.03%6.06%6.06%3.03%——18.18%
4—3.03%————3.03%
5+—3.03%————3.03%
Total15.15%42.42%27.27%12.12%—3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.58 1.52 +0.06
SD 1.25 1.20 1.82
CV 0.79 0.79 —
Max 5 6 +4
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
015.15%—9.09%3.03%3.03%3.03%33.33%
16.06%21.21%12.12%6.06%3.03%3.03%51.52%
23.03%—3.03%3.03%——9.09%
33.03%—————3.03%
4——3.03%———3.03%
5+———————
Total27.27%21.21%27.27%12.12%6.06%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 0.91 1.70 -0.79
SD 0.91 1.55 1.85
CV 1.01 0.91 —
Max 4 6 +3
Min 0 0 -6

Games Played: 33

↓ Scored | Allowed →012345+Total
015.15%—9.09%6.06%—3.03%33.33%
13.03%24.24%6.06%6.06%6.06%—45.45%
2—6.06%—12.12%——18.18%
3——3.03%———3.03%
4———————
5+———————
Total18.18%30.30%18.18%24.24%6.06%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 0.91 1.79 -0.88
SD 0.80 1.34 1.43
CV 0.89 0.75 —
Max 3 5 +1
Min 0 0 -5

Games Played: 33

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
FC Copenhagen 1923 74 61.27 +12.73 98.0% 46 50 56 62 66 73 79
Odense 1880 69 57.88 +11.12 95.0% 42 44 53 58 64 69 72
Brondby 1803 68 53.51 +14.49 99.0% 30 41 49 53 58 66 71
Midtjylland 1766 55 52.17 +2.83 66.0% 26 41 47 51 57 66 68
Randers 1724 46 45.07 +0.93 58.0% 28 32 40 45 50 56 63
Aalborg 1694 39 48.20 -9.20 7.0% 30 35 43 48 53 60 62
Aarhus GF 1686 45 38.12 +6.88 88.0% 22 28 33 38 43 49 58
Esbjerg 1676 32 39.89 -7.89 17.0% 24 27 36 41 45 49 54
Nordsjaelland 1666 35 41.75 -6.75 21.0% 28 31 37 42 47 53 62
Horsens 1585 24 36.77 -12.77 3.0% 20 27 33 36 41 49 55
Sonderjyske 1579 28 31.11 -3.11 36.0% 17 19 26 31 35 43 51
Vejle BK 1571 25 35.33 -10.33 9.0% 22 24 31 35 39 47 53

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 8.5% * Slight Edge: 8.5% to 12.5% * Clear Edge: 12.5% to 17.5% * Strong Edge: 17.5% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+16.16%
Clear Edge
44.44%27.27%28.28%
Elo Value
Home Edge
172 Elo
0.006 goals per Elo point
056.65500
Scoring Tilt
Expected
+0.27 goals
Neutral
-2+0.33+2

Title Race

How these are measured

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

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 3 * Top-Heavy: 3 to 4 * Open: 4 to 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 * Middle of the Pack: 3rd to 6th * Longshot: 7th 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 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.
Title-Race Openness
2.9
One-Team Race
134610
Champion Preseason Odds
50%
FC Copenhagen, 1st of 12
LongshotFavorite
Title Margin
Expected
0.15/gm
Comfortable
00.180.5/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 5.61 * Some Luck: 5.61 to 8.42 * Lucky: 8.42 to 11.23 * Wild Swing: 11.23 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 1.31 * Close: 1.31 to 1.96 * Off: 1.96 to 2.62 * Way Off: 2.62 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 12 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 12 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 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 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 0.95 * A Surprise: 0.95 to 1.52 * Several Surprises: 1.52 to 2.09 * Many Surprises: 2.09 and up.
Luck Spread
Expected
9.24 points
Lucky
07.0218
Average Finish Error
Expected
1.00
Pinpoint
01.634
Biggest Overachiever
Expected 95.83%
99.00%
Brondby
50100
Biggest Underachiever
Expected 4.17%
3.00%
Horsens
050
Season Outliers
Expected
3 of 12
Minimal Outliers
01.26
Unexpected Relegations
Expected
1 of 2
A Surprise
00.92

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 0.15 * Top-Heavy: 0.15 to 0.17 * Lopsided: 0.17 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 1.35 * Moderate Separation: 1.35 to 1.6 * Strong Separation: 1.6 to 1.9 * Wide Separation: 1.9 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 59% * Slight Edge: 59% to 64.5% * Clear Edge: 64.5% to 69% * Wide Edge: 69% 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 79% * Clear Edge: 79% to 85% * Strong Edge: 85% to 88.5% * Dominant: 88.5% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 54.5% * Some Drama: 54.5% to 58% * Frequent: 58% to 61.5% * Very Frequent: 61.5% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 15.5% * Occasional: 15.5% to 19% * Frequent: 19% to 23% * Very Frequent: 23% and up.
Gini Index
0.21
Lopsided
00.120.5
Noll-Scully
Elo SD: 113.63
2.39
Wide Separation
0.651.351.61.92.5
Interquartile Edge
68%
Clear Edge
50%59%69%100%
Best vs. Worst
Baseline
88%
Strong Edge
50%91%100%
Close Games
Expected
66%
Very Frequent
0%61%100%
Blowouts
Expected
16%
Occasional
0%16%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 0.28 * Slight Separation: 0.28 to 0.32 * Notable Separation: 0.32 to 0.37 * Lopsided: 0.37 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 0.5 * Strong Carryover: 0.5 to 0.63 * Near-Lock: 0.63 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 24% * As Expected: 24% to 26.5% * Upset-Prone: 26.5% to 30.5% * Very Upset-Prone: 30.5% 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 20.5% * As Expected: 20.5% to 23.5% * Shaky Favorites: 23.5% to 27% * Very Shaky: 27% and up.
Brier Score
Expected
0.59
Predictable
00.612
Matchup Imbalance
0.35
Notable Separation
00.280.370.5
Strangeness
Expected
1.77
Chaotic
01.002
Repeatability
0.71
Near-Lock
00.30.50.631
Upset Rate
Expected
22%
Chalky
0%24%50%
Clear Favorite Upset Rate
Expected
19%
Solid Favorites
0%20%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 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.41
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.18
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.062
Well Within Noise
00.1210.3

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).

Team123456789101112
FC Copenhagen50.00%27.00%14.00%4.00%3.00%2.00%——————
Odense27.00%31.00%19.00%9.00%6.00%3.00%1.00%3.00%1.00%———
Brondby10.00%14.00%23.00%25.00%15.00%5.00%4.00%2.00%1.00%—1.00%—
Midtjylland10.00%14.00%18.00%17.00%14.00%14.00%8.00%2.00%1.00%—1.00%1.00%
Randers—3.00%9.00%10.00%14.00%19.00%14.00%7.00%13.00%5.00%5.00%1.00%
Aarhus GF———2.00%8.00%5.00%13.00%18.00%10.00%18.00%18.00%8.00%
Aalborg2.00%10.00%9.00%19.00%15.00%16.00%9.00%10.00%5.00%2.00%3.00%—
Nordsjaelland1.00%1.00%5.00%7.00%9.00%13.00%15.00%11.00%12.00%13.00%8.00%5.00%
Esbjerg——1.00%3.00%10.00%11.00%18.00%20.00%14.00%6.00%11.00%6.00%
Sonderjyske———1.00%2.00%2.00%1.00%5.00%8.00%18.00%20.00%43.00%
Vejle BK————4.00%6.00%7.00%12.00%14.00%15.00%20.00%22.00%
Horsens——2.00%3.00%—4.00%10.00%10.00%21.00%23.00%13.00%14.00%

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 Same level Direct relegation
FC Copenhagen 100% —
Odense 100% —
Brondby 99.00% 1.00%
Midtjylland 98.00% 2.00%
Aalborg 97.00% 3.00%
Randers 94.00% 6.00%
Nordsjaelland 87.00% 13.00%
Esbjerg 83.00% 17.00%
Aarhus GF 74.00% 26.00%
Horsens 73.00% 27.00%
Vejle BK 58.00% 42.00%
Sonderjyske 37.00% 63.00%

Overall Game Log

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

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2008-07-19 Aarhus GF W 3-157.8 1707 1648 51.01% 27.31% 21.68%+0.67 +10.2 3
2008-07-19 @ Randers L 1-357.8 1648 1707 21.68% 27.31% 51.01%-0.67 -10.2 0
2008-07-20 Brondby L 0-258.7 1702 1712 42.11% 28.66% 29.23%+0.27 -19.6 0
2008-07-20 @ Nordsjaelland W 2-058.7 1712 1702 29.23% 28.66% 42.11%-0.27 +19.6 3
2008-07-20 Midtjylland L 1-268.9 1763 1761 43.66% 28.51% 27.83%+0.34 -10.1 0
2008-07-20 @ Aalborg W 2-168.9 1761 1763 27.83% 28.51% 43.66%-0.34 +10.1 3
2008-07-20 Sonderjyske W 2-051.4 1691 1632 51.04% 27.30% 21.66%+0.68 +11.7 3
2008-07-20 @ Horsens L 0-251.4 1632 1691 21.66% 27.30% 51.04%-0.68 -11.7 0
2008-07-21 Esbjerg W 1-055.7 1776 1708 52.09% 27.06% 20.85%+0.73 +6.0 3
2008-07-21 @ FC Copenhagen L 0-155.7 1708 1776 20.85% 27.06% 52.09%-0.73 -6.0 0
2008-07-23 Odense L 1-363.3 1700 1754 35.95% 28.93% 35.12%+0.02 -15.1 0
2008-07-23 @ Vejle BK W 3-163.3 1754 1700 35.12% 28.93% 35.95%-0.02 +15.1 3
2008-07-26 Aalborg W 2-164.9 1732 1753 40.61% 28.77% 30.62%+0.21 +7.8 6
2008-07-26 @ Brondby L 1-264.9 1753 1732 30.62% 28.77% 40.61%-0.21 -7.8 0
2008-07-27 FC Copenhagen D 1-171.0 1717 1782 34.34% 28.92% 36.74%-0.05 +0.1 4
2008-07-27 @ Randers D 1-171.0 1782 1717 36.74% 28.92% 34.34%+0.05 -0.1 4
2008-07-27 Midtjylland D 1-170.8 1620 1771 23.79% 27.84% 48.37%-0.55 +1.2 1
2008-07-27 @ Sonderjyske D 1-170.8 1771 1620 48.37% 27.84% 23.79%+0.55 -1.2 4
2008-07-27 Vejle BK L 0-162.9 1702 1685 45.65% 28.27% 26.08%+0.43 -11.1 0
2008-07-27 @ Esbjerg W 1-062.9 1685 1702 26.08% 28.27% 45.65%-0.43 +11.1 3
2008-07-28 Horsens W 3-162.7 1637 1703 34.31% 28.92% 36.77%-0.05 +15.3 3
2008-07-28 @ Aarhus GF L 1-362.7 1703 1637 36.77% 28.92% 34.31%+0.05 -15.3 3
2008-08-02 Aalborg L 2-372.0 1696 1745 36.69% 28.92% 34.39%+0.05 -8.4 3
2008-08-02 @ Vejle BK W 3-272.0 1745 1696 34.39% 28.92% 36.69%-0.05 +8.4 3
2008-08-03 Aarhus GF W 3-156.4 1769 1653 57.57% 25.48% 16.95%+1.01 +8.1 6
2008-08-03 @ Odense L 1-356.4 1653 1769 16.95% 25.48% 57.57%-1.01 -8.1 3
2008-08-03 Horsens W 2-160.9 1770 1687 53.76% 26.63% 19.60%+0.81 +5.4 7
2008-08-03 @ Midtjylland L 1-260.9 1687 1770 19.60% 26.63% 53.76%-0.81 -5.4 3
2008-08-03 Nordsjaelland D 1-170.4 1691 1683 44.50% 28.41% 27.09%+0.38 -0.9 1
2008-08-03 @ Esbjerg D 1-170.4 1683 1691 27.09% 28.41% 44.50%-0.38 +0.9 1
2008-08-03 Randers L 0-358.3 1740 1717 46.42% 28.16% 25.43%+0.46 -30.7 6
2008-08-03 @ Brondby W 3-058.3 1717 1740 25.43% 28.16% 46.42%-0.46 +30.7 7
2008-08-04 FC Copenhagen D 1-170.9 1621 1782 22.83% 27.61% 49.56%-0.61 +1.4 2
2008-08-04 @ Sonderjyske D 1-170.9 1782 1621 49.56% 27.61% 22.83%+0.61 -1.4 5
2008-08-06 Nordsjaelland W 3-157.3 1777 1684 55.04% 26.28% 18.68%+0.87 +8.9 9
2008-08-06 @ Odense L 1-357.3 1684 1777 18.68% 26.28% 55.04%-0.87 -8.9 1
2008-08-09 Brondby L 0-161.4 1682 1709 39.77% 28.82% 31.41%+0.17 -10.0 3
2008-08-09 @ Horsens W 1-061.4 1709 1682 31.41% 28.82% 39.77%-0.17 +10.0 9
2008-08-09 Esbjerg D 1-171.3 1753 1690 51.52% 27.20% 21.29%+0.70 -1.6 4
2008-08-09 @ Aalborg D 1-171.3 1690 1753 21.29% 27.20% 51.52%-0.70 +1.6 2
2008-08-10 Aarhus GF W 1-053.1 1780 1645 59.66% 24.74% 15.60%+1.12 +4.5 8
2008-08-10 @ FC Copenhagen L 0-153.1 1645 1780 15.60% 24.74% 59.66%-1.12 -4.5 3
2008-08-10 Odense W 4-053.7 1775 1786 41.98% 28.67% 29.36%+0.27 +28.5 10
2008-08-10 @ Midtjylland L 0-453.7 1786 1775 29.36% 28.67% 41.98%-0.27 -28.5 9
2008-08-10 Randers D 1-170.6 1675 1748 33.23% 28.90% 37.87%-0.10 +0.2 2
2008-08-10 @ Nordsjaelland D 1-170.6 1748 1675 37.87% 28.90% 33.23%+0.10 -0.2 8
2008-08-11 Sonderjyske W 2-160.3 1688 1623 51.74% 27.14% 21.12%+0.71 +5.7 6
2008-08-11 @ Vejle BK L 1-260.3 1623 1688 21.12% 27.14% 51.74%-0.71 -5.7 2
2008-08-16 Esbjerg D 1-171.2 1748 1691 50.64% 27.39% 21.97%+0.66 -1.5 9
2008-08-16 @ Randers D 1-171.2 1691 1748 21.97% 27.39% 50.64%-0.66 +1.5 3
2008-08-17 Brondby W 2-166.6 1640 1719 32.47% 28.87% 38.66%-0.13 +9.2 6
2008-08-17 @ Aarhus GF L 1-266.6 1719 1640 38.66% 28.87% 32.47%+0.13 -9.2 9
2008-08-17 Midtjylland W 3-161.9 1785 1804 40.90% 28.75% 30.35%+0.22 +13.3 11
2008-08-17 @ FC Copenhagen L 1-361.9 1804 1785 30.35% 28.75% 40.90%-0.22 -13.3 10
2008-08-17 Odense L 0-357.5 1752 1757 42.65% 28.61% 28.74%+0.30 -28.8 4
2008-08-17 @ Aalborg W 3-057.5 1757 1752 28.74% 28.61% 42.65%-0.30 +28.8 12
2008-08-17 Sonderjyske L 0-163.3 1675 1617 50.89% 27.34% 21.78%+0.67 -12.1 2
2008-08-17 @ Nordsjaelland W 1-063.3 1617 1675 21.78% 27.34% 50.89%-0.67 +12.1 5
2008-08-17 Vejle BK D 0-065.6 1672 1694 40.52% 28.77% 30.71%+0.20 -0.5 4
2008-08-17 @ Horsens D 0-065.6 1694 1672 30.71% 28.77% 40.52%-0.20 +0.5 7
2008-08-30 Randers W 2-162.7 1786 1746 48.67% 27.78% 23.55%+0.56 +6.3 15
2008-08-30 @ Odense L 1-262.7 1746 1786 23.55% 27.78% 48.67%-0.56 -6.3 9
2008-08-31 Aalborg L 1-264.1 1629 1723 30.44% 28.76% 40.80%-0.22 -7.7 5
2008-08-31 @ Sonderjyske W 2-164.1 1723 1629 40.80% 28.76% 30.44%+0.22 +7.7 7
2008-08-31 FC Copenhagen W 1-062.0 1710 1798 31.11% 28.80% 40.08%-0.19 +10.0 12
2008-08-31 @ Brondby L 0-162.0 1798 1710 40.08% 28.80% 31.11%+0.19 -10.0 11
2008-08-31 Horsens L 0-162.9 1693 1672 46.26% 28.18% 25.56%+0.45 -11.2 3
2008-08-31 @ Esbjerg W 1-062.9 1672 1693 25.56% 28.18% 46.26%-0.45 +11.2 7
2008-08-31 Nordsjaelland L 0-355.9 1649 1663 41.61% 28.70% 29.70%+0.25 -28.2 6
2008-08-31 @ Aarhus GF W 3-055.9 1663 1649 29.70% 28.70% 41.61%-0.25 +28.2 5
2008-09-01 Vejle BK D 1-171.7 1790 1694 55.35% 26.18% 18.46%+0.89 -2.0 11
2008-09-01 @ Midtjylland D 1-171.7 1694 1790 18.46% 26.18% 55.35%-0.89 +2.0 8
2008-09-13 Aarhus GF L 0-261.8 1731 1621 56.82% 25.73% 17.45%+0.97 -25.0 7
2008-09-13 @ Aalborg W 2-061.8 1621 1731 17.45% 25.73% 56.82%-0.97 +25.0 9
2008-09-14 Brondby D 0-065.9 1696 1720 40.22% 28.79% 30.99%+0.19 -0.5 9
2008-09-14 @ Vejle BK D 0-065.9 1720 1696 30.99% 28.79% 40.22%-0.19 +0.5 13
2008-09-14 Esbjerg W 3-156.9 1788 1682 56.52% 25.83% 17.65%+0.95 +8.4 14
2008-09-14 @ Midtjylland L 1-356.9 1682 1788 17.65% 25.83% 56.52%-0.95 -8.4 3
2008-09-14 Randers D 1-170.6 1683 1740 35.49% 28.93% 35.59%+0.00 +0.0 8
2008-09-14 @ Horsens D 1-170.6 1740 1683 35.59% 28.93% 35.49%+0.00 -0.0 10
2008-09-15 Sonderjyske W 2-048.5 1793 1621 63.29% 23.28% 13.43%+1.33 +7.3 18
2008-09-15 @ Odense L 0-248.5 1621 1793 13.43% 23.28% 63.29%-1.33 -7.3 5
2008-09-20 Odense L 1-263.9 1683 1800 27.57% 28.48% 43.95%-0.35 -7.2 8
2008-09-20 @ Horsens W 2-163.9 1800 1683 43.95% 28.48% 27.57%+0.35 +7.2 21
2008-09-21 Aalborg W 3-049.9 1788 1706 53.80% 26.62% 19.57%+0.81 +15.5 14
2008-09-21 @ FC Copenhagen L 0-349.9 1706 1788 19.57% 26.62% 53.80%-0.81 -15.5 7
2008-09-21 Midtjylland D 0-066.4 1740 1797 35.48% 28.93% 35.59%+0.00 +0.0 11
2008-09-21 @ Randers D 0-066.4 1797 1740 35.59% 28.93% 35.48%+0.00 +0.0 15
2008-09-21 Sonderjyske W 2-160.9 1646 1614 47.66% 27.96% 24.37%+0.52 +6.5 12
2008-09-21 @ Aarhus GF L 1-260.9 1614 1646 24.37% 27.96% 47.66%-0.52 -6.5 5
2008-09-21 Vejle BK W 2-163.7 1691 1696 42.85% 28.59% 28.56%+0.30 +7.4 8
2008-09-21 @ Nordsjaelland L 1-263.7 1696 1691 28.56% 28.59% 42.85%-0.30 -7.4 9
2008-09-22 Esbjerg W 2-161.8 1720 1673 49.50% 27.63% 22.88%+0.60 +6.1 16
2008-09-22 @ Brondby L 1-261.8 1673 1720 22.88% 27.63% 49.50%-0.60 -6.1 3
2008-09-24 Nordsjaelland W 2-160.3 1804 1698 56.38% 25.87% 17.75%+0.94 +4.9 17
2008-09-24 @ FC Copenhagen L 1-260.3 1698 1804 17.75% 25.87% 56.38%-0.94 -4.9 8
2008-10-04 Horsens D 1-170.4 1690 1676 45.36% 28.30% 26.33%+0.41 -1.0 8
2008-10-04 @ Aalborg D 1-170.4 1676 1690 26.33% 28.30% 45.36%-0.41 +1.0 9
2008-10-05 Aarhus GF W 1-056.5 1667 1653 45.37% 28.30% 26.32%+0.41 +7.3 6
2008-10-05 @ Esbjerg L 0-156.5 1653 1667 26.32% 28.30% 45.37%-0.41 -7.3 12
2008-10-05 Brondby L 0-165.5 1807 1726 53.58% 26.68% 19.74%+0.80 -12.6 21
2008-10-05 @ Odense W 1-065.5 1726 1807 19.74% 26.68% 53.58%-0.80 +12.6 19
2008-10-05 Nordsjaelland W 1-054.5 1797 1694 56.13% 25.95% 17.92%+0.93 +5.2 18
2008-10-05 @ Midtjylland L 0-154.5 1694 1797 17.92% 25.95% 56.13%-0.93 -5.2 8
2008-10-05 Randers W 1-062.7 1607 1740 25.81% 28.22% 45.97%-0.44 +11.1 8
2008-10-05 @ Sonderjyske L 0-162.7 1740 1607 45.97% 28.22% 25.81%+0.44 -11.1 11
2008-10-06 FC Copenhagen L 0-352.8 1688 1809 27.16% 28.42% 44.42%-0.37 -20.5 9
2008-10-06 @ Vejle BK W 3-052.8 1809 1688 44.42% 28.42% 27.16%+0.37 +20.5 20
2008-10-18 FC Copenhagen L 0-156.8 1677 1829 23.63% 27.80% 48.57%-0.56 -6.7 9
2008-10-18 @ Horsens W 1-056.8 1829 1677 48.57% 27.80% 23.63%+0.56 +6.7 23
2008-10-18 Nordsjaelland L 1-268.1 1689 1688 43.55% 28.52% 27.93%+0.33 -10.0 8
2008-10-18 @ Aalborg W 2-168.1 1688 1689 27.93% 28.52% 43.55%-0.33 +10.1 11
2008-10-19 Brondby D 2-276.4 1619 1739 27.19% 28.43% 44.38%-0.37 +0.6 9
2008-10-19 @ Sonderjyske D 2-276.4 1739 1619 44.38% 28.43% 27.19%+0.37 -0.6 20
2008-10-19 Esbjerg W 4-260.4 1794 1674 57.98% 25.34% 16.68%+1.03 +7.1 24
2008-10-19 @ Odense L 2-460.4 1674 1794 16.68% 25.34% 57.98%-1.03 -7.1 6
2008-10-19 Vejle BK D 1-171.0 1729 1668 51.23% 27.26% 21.51%+0.68 -1.5 12
2008-10-19 @ Randers D 1-171.0 1668 1729 21.51% 27.26% 51.23%-0.68 +1.5 10
2008-10-20 Aarhus GF W 2-158.4 1802 1645 61.83% 23.89% 14.28%+1.24 +3.9 21
2008-10-20 @ Midtjylland L 1-258.4 1645 1802 14.28% 23.89% 61.83%-1.24 -3.9 12
2008-10-25 Vejle BK W 2-164.0 1641 1669 39.63% 28.83% 31.54%+0.17 +7.9 15
2008-10-25 @ Aarhus GF L 1-264.0 1669 1641 31.54% 28.83% 39.63%-0.17 -7.9 10
2008-10-26 Aalborg D 2-277.0 1727 1679 49.64% 27.60% 22.76%+0.61 -1.0 13
2008-10-26 @ Randers D 2-277.0 1679 1727 22.76% 27.60% 49.64%-0.61 +1.0 9
2008-10-26 Horsens W 3-159.1 1698 1670 47.19% 28.04% 24.77%+0.50 +11.4 14
2008-10-26 @ Nordsjaelland L 1-359.1 1670 1698 24.77% 28.04% 47.19%-0.50 -11.4 9
2008-10-26 Midtjylland W 3-056.0 1738 1806 33.97% 28.91% 37.12%-0.06 +25.9 23
2008-10-26 @ Brondby L 0-356.0 1806 1738 37.12% 28.91% 33.97%+0.06 -25.9 21
2008-10-26 Odense D 0-066.9 1836 1802 47.95% 27.91% 24.14%+0.53 -1.4 24
2008-10-26 @ FC Copenhagen D 0-066.9 1802 1836 24.14% 27.91% 47.95%-0.53 +1.3 25
2008-10-27 Sonderjyske D 0-065.1 1667 1619 49.66% 27.59% 22.74%+0.61 -1.5 7
2008-10-27 @ Esbjerg D 0-065.1 1619 1667 22.74% 27.59% 49.66%-0.61 +1.5 10
2008-11-01 Aalborg D 1-172.0 1803 1680 58.28% 25.24% 16.48%+1.04 -2.2 26
2008-11-01 @ Odense D 1-172.0 1680 1803 16.48% 25.24% 58.28%-1.04 +2.2 10
2008-11-02 Esbjerg D 1-170.7 1710 1666 49.14% 27.70% 23.16%+0.59 -1.3 15
2008-11-02 @ Nordsjaelland D 1-170.7 1666 1710 23.16% 27.70% 49.14%-0.59 +1.3 8
2008-11-02 FC Copenhagen D 1-171.5 1661 1835 21.59% 27.29% 51.12%-0.68 +1.5 11
2008-11-02 @ Vejle BK D 1-171.5 1835 1661 51.12% 27.29% 21.59%+0.68 -1.5 25
2008-11-02 Midtjylland W 2-169.1 1649 1780 26.00% 28.25% 45.75%-0.43 +10.5 18
2008-11-02 @ Aarhus GF L 1-269.1 1780 1649 45.75% 28.25% 26.00%+0.43 -10.5 21
2008-11-02 Randers L 1-457.8 1621 1726 29.00% 28.63% 42.37%-0.28 -18.2 10
2008-11-02 @ Sonderjyske W 4-157.8 1726 1621 42.37% 28.63% 29.00%+0.28 +18.2 16
2008-11-03 Horsens W 4-367.9 1764 1658 56.40% 25.86% 17.73%+0.94 +4.5 26
2008-11-03 @ Brondby L 3-467.9 1658 1764 17.73% 25.86% 56.40%-0.94 -4.5 9
2008-11-08 Odense L 1-263.2 1667 1801 25.68% 28.20% 46.12%-0.45 -6.8 8
2008-11-08 @ Esbjerg W 2-163.2 1801 1667 46.12% 28.20% 25.68%+0.45 +6.8 29
2008-11-09 Aarhus GF D 1-169.8 1654 1660 42.66% 28.61% 28.73%+0.30 -0.7 10
2008-11-09 @ Horsens D 1-169.8 1660 1654 28.73% 28.61% 42.66%-0.30 +0.7 19
2008-11-09 Brondby D 0-066.1 1682 1769 31.44% 28.82% 39.74%-0.17 +0.5 11
2008-11-09 @ Aalborg D 0-066.1 1769 1682 39.74% 28.82% 31.44%+0.17 -0.4 27
2008-11-09 Nordsjaelland W 3-267.9 1744 1708 48.12% 27.88% 24.00%+0.54 +6.1 19
2008-11-09 @ Randers L 2-367.9 1708 1744 24.00% 27.88% 48.12%-0.54 -6.1 15
2008-11-09 Sonderjyske W 4-045.2 1833 1602 68.87% 20.63% 10.50%+1.67 +10.5 28
2008-11-09 @ FC Copenhagen L 0-445.2 1602 1833 10.50% 20.63% 68.87%-1.67 -10.5 10
2008-11-10 Vejle BK W 2-050.6 1770 1663 56.53% 25.82% 17.65%+0.95 +9.7 24
2008-11-10 @ Midtjylland L 0-250.6 1663 1770 17.65% 25.82% 56.53%-0.95 -9.7 11
2008-11-15 Nordsjaelland W 2-161.5 1768 1702 51.81% 27.13% 21.06%+0.71 +5.7 30
2008-11-15 @ Brondby L 1-261.5 1702 1768 21.06% 27.13% 51.81%-0.71 -5.7 15
2008-11-15 Sonderjyske D 0-064.7 1660 1592 52.13% 27.05% 20.82%+0.73 -1.8 20
2008-11-15 @ Aarhus GF D 0-064.7 1592 1660 20.82% 27.05% 52.13%-0.73 +1.8 11
2008-11-16 Esbjerg W 2-162.3 1683 1660 46.40% 28.16% 25.44%+0.46 +6.7 14
2008-11-16 @ Aalborg L 1-262.3 1660 1683 25.44% 28.16% 46.40%-0.46 -6.7 8
2008-11-16 FC Copenhagen L 0-355.4 1779 1844 34.43% 28.92% 36.64%-0.05 -24.5 24
2008-11-16 @ Midtjylland W 3-055.4 1844 1779 36.64% 28.92% 34.43%+0.05 +24.5 31
2008-11-16 Randers D 2-276.7 1653 1750 30.04% 28.73% 41.23%-0.24 +0.4 11
2008-11-16 @ Horsens D 2-276.7 1750 1653 41.23% 28.73% 30.04%+0.24 -0.4 20
2008-11-16 Vejle BK W 2-049.2 1807 1653 61.59% 23.99% 14.42%+1.23 +7.9 32
2008-11-16 @ Odense L 0-249.2 1653 1807 14.42% 23.99% 61.59%-1.23 -7.9 11
2008-11-22 Aalborg L 0-354.9 1645 1689 37.30% 28.91% 33.79%+0.07 -26.0 11
2008-11-22 @ Vejle BK W 3-054.9 1689 1645 33.79% 28.91% 37.30%-0.07 +26.0 17
2008-11-22 Brondby L 0-651.5 1594 1774 20.97% 27.10% 51.93%-0.72 -31.6 11
2008-11-22 @ Sonderjyske W 6-051.5 1774 1594 51.93% 27.10% 20.97%+0.72 +31.6 33
2008-11-23 Aarhus GF W 2-157.2 1868 1659 66.96% 21.59% 11.46%+1.55 +3.1 34
2008-11-23 @ FC Copenhagen L 1-257.2 1659 1868 11.46% 21.59% 66.96%-1.55 -3.1 20
2008-11-23 Horsens W 1-057.0 1654 1654 43.44% 28.53% 28.03%+0.33 +7.7 11
2008-11-23 @ Esbjerg L 0-157.0 1654 1654 28.03% 28.53% 43.44%-0.33 -7.7 11
2008-11-23 Odense L 1-458.2 1697 1815 27.39% 28.45% 44.16%-0.36 -17.4 15
2008-11-23 @ Nordsjaelland W 4-158.2 1815 1697 44.16% 28.45% 27.39%+0.36 +17.4 35
2008-11-24 Midtjylland L 1-268.6 1750 1755 42.80% 28.59% 28.61%+0.30 -9.9 20
2008-11-24 @ Randers W 2-168.6 1755 1750 28.61% 28.59% 42.80%-0.30 +9.9 27
2008-11-29 Vejle BK W 2-048.1 1806 1619 64.76% 22.62% 12.61%+1.41 +6.8 36
2008-11-29 @ Brondby L 0-248.1 1619 1806 12.61% 22.62% 64.76%-1.41 -6.8 11
2008-11-30 FC Copenhagen W 3-167.2 1715 1871 23.32% 27.73% 48.95%-0.58 +19.1 20
2008-11-30 @ Aalborg L 1-367.2 1871 1715 48.95% 27.73% 23.32%+0.58 -19.1 34
2008-11-30 Nordsjaelland W 3-049.6 1765 1679 54.11% 26.54% 19.35%+0.83 +15.4 30
2008-11-30 @ Midtjylland L 0-349.6 1679 1765 19.35% 26.54% 54.11%-0.83 -15.4 15
2008-11-30 Randers D 2-276.6 1661 1740 32.46% 28.87% 38.67%-0.13 +0.2 12
2008-11-30 @ Esbjerg D 2-276.6 1740 1661 38.67% 28.87% 32.46%+0.13 -0.2 21
2008-11-30 Sonderjyske L 0-357.2 1646 1562 53.94% 26.59% 19.48%+0.82 -34.7 11
2008-11-30 @ Horsens W 3-057.2 1562 1646 19.48% 26.59% 53.94%-0.82 +34.7 14
2008-12-01 Odense W 2-170.8 1656 1833 21.24% 27.18% 51.58%-0.70 +11.5 23
2008-12-01 @ Aarhus GF L 1-270.8 1833 1656 51.58% 27.18% 21.24%+0.70 -11.5 35
2008-12-06 Brondby L 0-163.5 1821 1812 44.62% 28.40% 26.98%+0.38 -10.9 35
2008-12-06 @ Odense W 1-063.5 1812 1821 26.98% 28.40% 44.62%-0.38 +10.9 39
2008-12-07 Aalborg L 1-268.9 1740 1735 44.13% 28.46% 27.41%+0.36 -10.2 21
2008-12-07 @ Randers W 2-168.9 1735 1740 27.41% 28.46% 44.13%-0.36 +10.2 23
2008-12-07 Esbjerg D 1-169.2 1612 1662 36.60% 28.92% 34.48%+0.04 -0.1 12
2008-12-07 @ Vejle BK D 1-169.2 1662 1612 34.48% 28.92% 36.60%-0.04 +0.1 13
2008-12-07 Horsens W 5-253.0 1852 1611 69.78% 20.15% 10.06%+1.73 +5.6 37
2008-12-07 @ FC Copenhagen L 2-553.0 1611 1852 10.06% 20.15% 69.78%-1.73 -5.6 11
2008-12-07 Midtjylland D 1-170.9 1597 1780 20.70% 27.01% 52.29%-0.74 +1.6 15
2008-12-07 @ Sonderjyske D 1-170.9 1780 1597 52.29% 27.01% 20.70%+0.74 -1.7 31
2008-12-08 Aarhus GF D 0-065.3 1664 1667 43.01% 28.57% 28.42%+0.31 -0.8 16
2008-12-08 @ Nordsjaelland D 0-065.3 1667 1664 28.42% 28.57% 43.01%-0.31 +0.8 24
2009-02-28 Esbjerg D 1-171.8 1778 1662 57.62% 25.46% 16.91%+1.01 -2.2 32
2009-02-28 @ Midtjylland D 1-171.8 1662 1778 16.91% 25.46% 57.62%-1.01 +2.2 14
2009-03-01 Aalborg L 0-156.4 1606 1745 25.07% 28.09% 46.84%-0.48 -7.0 11
2009-03-01 @ Horsens W 1-056.4 1745 1606 46.84% 28.09% 25.07%+0.48 +7.0 26
2009-03-01 Nordsjaelland D 1-169.2 1612 1663 36.37% 28.93% 34.70%+0.03 -0.1 13
2009-03-01 @ Vejle BK D 1-169.2 1663 1612 34.70% 28.93% 36.37%-0.03 +0.1 17
2009-03-01 Randers L 1-265.8 1668 1730 34.81% 28.93% 36.27%-0.03 -8.5 24
2009-03-01 @ Aarhus GF W 2-165.8 1730 1668 36.27% 28.93% 34.81%+0.03 +8.5 24
2009-03-01 Sonderjyske W 2-047.3 1810 1599 67.16% 21.49% 11.35%+1.56 +6.1 38
2009-03-01 @ Odense L 0-247.3 1599 1810 11.35% 21.49% 67.16%-1.56 -6.1 15
2009-03-02 FC Copenhagen L 0-161.9 1823 1858 38.69% 28.87% 32.44%+0.13 -9.8 39
2009-03-02 @ Brondby W 1-061.9 1858 1823 32.44% 28.87% 38.69%-0.13 +9.8 40
2009-03-07 FC Copenhagen L 0-352.7 1738 1867 26.15% 28.28% 45.57%-0.42 -19.9 24
2009-03-07 @ Randers W 3-052.7 1867 1738 45.57% 28.28% 26.15%+0.42 +19.9 43
2009-03-08 Brondby D 1-171.2 1776 1813 38.29% 28.88% 32.83%+0.11 -0.3 33
2009-03-08 @ Midtjylland D 1-171.2 1813 1776 32.83% 28.88% 38.29%-0.11 +0.3 40
2009-03-08 Nordsjaelland D 1-171.3 1752 1663 54.49% 26.43% 19.07%+0.85 -1.9 27
2009-03-08 @ Aalborg D 1-171.3 1663 1752 19.07% 26.43% 54.49%-0.85 +1.9 18
2009-03-08 Odense W 2-171.4 1599 1816 17.82% 25.90% 56.28%-0.94 +12.4 14
2009-03-08 @ Horsens L 1-271.4 1816 1599 56.28% 25.90% 17.82%+0.94 -12.4 38
2009-03-08 Sonderjyske D 0-064.8 1664 1592 52.47% 26.97% 20.56%+0.74 -1.9 15
2009-03-08 @ Esbjerg D 0-064.8 1592 1664 20.56% 26.97% 52.47%-0.74 +1.9 16
2009-03-09 Vejle BK D 1-169.5 1659 1612 49.55% 27.62% 22.84%+0.60 -1.4 25
2009-03-09 @ Aarhus GF D 1-169.5 1612 1659 22.84% 27.62% 49.55%-0.60 +1.4 14
2009-03-14 Midtjylland W 2-163.2 1804 1776 47.14% 28.05% 24.82%+0.49 +6.6 41
2009-03-14 @ Odense L 1-263.2 1776 1804 24.82% 28.05% 47.14%-0.49 -6.6 33
2009-03-15 Aalborg D 1-170.4 1594 1750 23.33% 27.74% 48.93%-0.58 +1.3 17
2009-03-15 @ Sonderjyske D 1-170.4 1750 1594 48.93% 27.74% 23.33%+0.58 -1.3 28
2009-03-15 Aarhus GF W 2-049.2 1814 1658 61.73% 23.93% 14.33%+1.24 +7.9 43
2009-03-15 @ Brondby L 0-249.2 1658 1814 14.33% 23.93% 61.73%-1.24 -7.9 25
2009-03-15 Esbjerg L 0-264.8 1887 1662 68.41% 20.86% 10.73%+1.64 -28.9 43
2009-03-15 @ FC Copenhagen W 2-064.8 1662 1887 10.73% 20.86% 68.41%-1.64 +28.9 18
2009-03-15 Horsens L 1-268.7 1665 1611 50.38% 27.45% 22.18%+0.64 -11.3 18
2009-03-15 @ Nordsjaelland W 2-168.7 1611 1665 22.18% 27.45% 50.38%-0.64 +11.3 17
2009-03-16 Randers D 1-170.0 1613 1718 29.08% 28.64% 42.28%-0.28 +0.7 15
2009-03-16 @ Vejle BK D 1-170.0 1718 1613 42.28% 28.64% 29.08%+0.28 -0.7 25
2009-03-21 Brondby L 0-255.3 1718 1822 29.16% 28.65% 42.19%-0.28 -14.9 25
2009-03-21 @ Randers W 2-055.3 1822 1718 42.19% 28.65% 29.16%+0.28 +14.9 46
2009-03-22 Aarhus GF W 1-055.7 1691 1650 48.74% 27.77% 23.49%+0.57 +6.7 21
2009-03-22 @ Esbjerg L 0-155.7 1650 1691 23.49% 27.77% 48.74%-0.57 -6.7 25
2009-03-22 Nordsjaelland L 1-361.0 1596 1654 35.34% 28.93% 35.73%-0.01 -14.9 17
2009-03-22 @ Sonderjyske W 3-161.0 1654 1596 35.73% 28.93% 35.34%+0.01 +14.9 21
2009-03-22 Odense W 2-162.6 1859 1811 49.63% 27.60% 22.77%+0.61 +6.1 46
2009-03-22 @ FC Copenhagen L 1-262.6 1811 1859 22.77% 27.60% 49.63%-0.61 -6.1 41
2009-03-22 Vejle BK D 0-064.0 1622 1614 44.53% 28.41% 27.06%+0.38 -1.0 18
2009-03-22 @ Horsens D 0-064.0 1614 1622 27.06% 28.41% 44.53%-0.38 +1.0 16
2009-03-23 Midtjylland W 3-270.4 1749 1769 40.62% 28.77% 30.61%+0.21 +7.4 31
2009-03-23 @ Aalborg L 2-370.4 1769 1749 30.61% 28.77% 40.62%-0.21 -7.3 33
2009-04-04 FC Copenhagen L 0-350.1 1669 1865 19.57% 26.62% 53.81%-0.81 -15.5 21
2009-04-04 @ Nordsjaelland W 3-050.1 1865 1669 53.81% 26.62% 19.57%+0.81 +15.5 49
2009-04-05 Aalborg L 1-263.7 1643 1756 28.12% 28.54% 43.34%-0.33 -7.3 25
2009-04-05 @ Aarhus GF W 2-163.7 1756 1643 43.34% 28.54% 28.12%+0.33 +7.3 34
2009-04-05 Esbjerg W 1-053.4 1837 1698 60.01% 24.61% 15.38%+1.14 +4.5 49
2009-04-05 @ Brondby L 0-153.4 1698 1837 15.38% 24.61% 60.01%-1.14 -4.5 21
2009-04-05 Horsens W 3-155.3 1762 1621 60.17% 24.55% 15.28%+1.15 +7.3 36
2009-04-05 @ Midtjylland L 1-355.3 1621 1762 15.28% 24.55% 60.17%-1.15 -7.3 18
2009-04-05 Sonderjyske W 3-264.9 1615 1581 47.94% 27.91% 24.15%+0.53 +6.1 19
2009-04-05 @ Vejle BK L 2-364.9 1581 1615 24.15% 27.91% 47.94%-0.53 -6.1 17
2009-04-06 Randers W 3-157.2 1804 1703 55.99% 25.99% 18.02%+0.92 +8.6 44
2009-04-06 @ Odense L 1-357.2 1703 1804 18.02% 25.99% 55.99%-0.92 -8.6 25
2009-04-08 FC Copenhagen L 1-257.4 1575 1880 12.31% 22.36% 65.33%-1.45 -3.3 17
2009-04-08 @ Sonderjyske W 2-157.4 1880 1575 65.33% 22.36% 12.31%+1.45 +3.3 52
2009-04-09 Aalborg W 2-052.1 1841 1763 53.23% 26.77% 19.99%+0.78 +10.9 52
2009-04-09 @ Brondby L 0-252.1 1763 1841 19.99% 26.77% 53.23%-0.78 -10.9 34
2009-04-09 Esbjerg W 2-159.8 1813 1693 57.98% 25.34% 16.67%+1.03 +4.6 47
2009-04-09 @ Odense L 1-259.8 1693 1813 16.67% 25.34% 57.98%-1.03 -4.6 21
2009-04-09 Horsens W 1-055.2 1636 1614 46.36% 28.17% 25.47%+0.46 +7.1 28
2009-04-09 @ Aarhus GF L 0-155.2 1614 1636 25.47% 28.17% 46.36%-0.46 -7.1 18
2009-04-10 Midtjylland L 2-367.6 1621 1769 24.11% 27.91% 47.98%-0.53 -6.1 19
2009-04-10 @ Vejle BK W 3-267.6 1769 1621 47.98% 27.91% 24.11%+0.53 +6.1 39
2009-04-10 Randers W 6-157.3 1653 1694 37.77% 28.90% 33.33%+0.09 +32.0 24
2009-04-10 @ Nordsjaelland L 1-657.3 1694 1653 33.33% 28.90% 37.77%-0.09 -32.0 25
2009-04-12 Brondby W 3-061.2 1607 1852 15.87% 24.90% 59.24%-1.10 +37.5 21
2009-04-12 @ Horsens L 0-361.2 1852 1607 59.24% 24.90% 15.87%+1.10 -37.5 52
2009-04-12 Odense L 0-160.5 1752 1818 34.30% 28.92% 36.78%-0.05 -8.9 34
2009-04-12 @ Aalborg W 1-060.5 1818 1752 36.78% 28.92% 34.30%+0.05 +8.9 50
2009-04-13 Aarhus GF W 3-264.4 1775 1643 59.27% 24.89% 15.84%+1.10 +4.1 42
2009-04-13 @ Midtjylland L 2-364.4 1643 1775 15.84% 24.89% 59.27%-1.10 -4.1 28
2009-04-13 Sonderjyske W 3-155.1 1662 1571 54.73% 26.37% 18.90%+0.86 +9.0 28
2009-04-13 @ Randers L 1-355.1 1571 1662 18.90% 26.37% 54.73%-0.86 -9.0 17
2009-04-13 Vejle BK W 4-149.8 1884 1615 72.15% 18.88% 8.98%+1.89 +5.7 55
2009-04-13 @ FC Copenhagen L 1-449.8 1615 1884 8.98% 18.88% 72.15%-1.89 -5.7 19
2009-04-14 Nordsjaelland L 1-268.2 1688 1685 43.90% 28.48% 27.62%+0.35 -10.1 21
2009-04-14 @ Esbjerg W 2-168.2 1685 1688 27.62% 28.48% 43.90%-0.35 +10.1 27
2009-04-18 Sonderjyske W 5-148.2 1814 1562 70.76% 19.63% 9.61%+1.80 +7.9 55
2009-04-18 @ Brondby L 1-548.2 1562 1814 9.61% 19.63% 70.76%-1.80 -7.9 17
2009-04-19 Esbjerg D 1-169.8 1644 1678 38.78% 28.86% 32.35%+0.13 -0.3 22
2009-04-19 @ Horsens D 1-169.8 1678 1644 32.35% 28.86% 38.78%-0.13 +0.3 22
2009-04-19 FC Copenhagen W 1-066.8 1639 1889 15.54% 24.70% 59.76%-1.12 +13.8 31
2009-04-19 @ Aarhus GF L 0-166.8 1889 1639 59.76% 24.70% 15.54%+1.12 -13.8 55
2009-04-19 Nordsjaelland W 3-048.4 1827 1695 59.21% 24.91% 15.88%+1.09 +12.7 53
2009-04-19 @ Odense L 0-348.4 1695 1827 15.88% 24.91% 59.21%-1.09 -12.7 27
2009-04-19 Randers L 0-262.4 1779 1671 56.72% 25.76% 17.52%+0.96 -24.9 42
2009-04-19 @ Midtjylland W 2-062.4 1671 1779 17.52% 25.76% 56.72%-0.96 +24.9 31
2009-04-20 Vejle BK D 0-066.7 1743 1609 59.47% 24.81% 15.72%+1.11 -2.6 35
2009-04-20 @ Aalborg D 0-066.7 1609 1743 15.72% 24.81% 59.47%-1.11 +2.6 20
2009-04-22 Aarhus GF L 0-350.6 1554 1653 29.85% 28.71% 41.44%-0.24 -22.1 17
2009-04-22 @ Sonderjyske W 3-050.6 1653 1554 41.44% 28.71% 29.85%+0.24 +22.1 34
2009-04-22 Horsens W 5-154.1 1696 1644 50.11% 27.50% 22.39%+0.63 +19.1 34
2009-04-22 @ Randers L 1-554.1 1644 1696 22.39% 27.50% 50.11%-0.63 -19.1 22
2009-04-22 Midtjylland W 2-160.0 1875 1755 58.07% 25.31% 16.62%+1.03 +4.6 58
2009-04-22 @ FC Copenhagen L 1-260.0 1755 1875 16.62% 25.31% 58.07%-1.03 -4.6 42
2009-04-23 Aalborg W 3-163.2 1679 1741 34.75% 28.93% 36.32%-0.03 +15.2 25
2009-04-23 @ Esbjerg L 1-363.2 1741 1679 36.32% 28.93% 34.75%+0.03 -15.2 35
2009-04-23 Brondby L 1-263.1 1682 1822 24.98% 28.08% 46.94%-0.48 -6.6 27
2009-04-23 @ Nordsjaelland W 2-163.1 1822 1682 46.94% 28.08% 24.98%+0.48 +6.6 58
2009-04-23 Odense L 0-549.6 1612 1839 17.12% 25.57% 57.31%-0.99 -22.0 20
2009-04-23 @ Vejle BK W 5-049.6 1839 1612 57.31% 25.57% 17.12%+0.99 +22.0 56
2009-04-25 FC Copenhagen L 0-249.8 1625 1880 15.22% 24.51% 60.27%-1.15 -8.4 22
2009-04-25 @ Horsens W 2-049.8 1880 1625 60.27% 24.51% 15.22%+1.15 +8.4 61
2009-04-26 Nordsjaelland W 1-057.5 1675 1676 43.34% 28.54% 28.12%+0.33 +7.7 37
2009-04-26 @ Aarhus GF L 0-157.5 1676 1675 28.12% 28.54% 43.34%-0.33 -7.7 27
2009-04-26 Odense D 0-066.7 1829 1861 38.99% 28.86% 32.15%+0.14 -0.4 59
2009-04-26 @ Brondby D 0-066.7 1861 1829 32.15% 28.86% 38.99%-0.14 +0.4 57
2009-04-26 Randers L 1-268.9 1726 1715 44.84% 28.37% 26.79%+0.39 -10.3 35
2009-04-26 @ Aalborg W 2-168.9 1715 1726 26.79% 28.37% 44.84%-0.39 +10.3 37
2009-04-26 Vejle BK W 3-264.0 1694 1590 56.19% 25.93% 17.88%+0.93 +4.7 28
2009-04-26 @ Esbjerg L 2-364.0 1590 1694 17.88% 25.93% 56.19%-0.93 -4.7 20
2009-04-27 Sonderjyske L 2-472.9 1750 1532 67.70% 21.22% 11.08%+1.60 -22.2 42
2009-04-27 @ Midtjylland W 4-272.9 1532 1750 11.08% 21.22% 67.70%-1.60 +22.2 20
2009-05-02 Brondby L 1-355.9 1585 1829 15.99% 24.97% 59.04%-1.09 -7.6 20
2009-05-02 @ Vejle BK W 3-155.9 1829 1585 59.04% 24.97% 15.99%+1.09 +7.6 62
2009-05-03 Aalborg W 3-047.3 1888 1715 63.46% 23.20% 13.33%+1.34 +10.6 64
2009-05-03 @ FC Copenhagen L 0-347.3 1715 1888 13.33% 23.20% 63.46%-1.34 -10.6 35
2009-05-03 Esbjerg W 1-056.9 1725 1698 46.97% 28.07% 24.95%+0.49 +7.0 40
2009-05-03 @ Randers L 0-156.9 1698 1725 24.95% 28.07% 46.97%-0.49 -7.0 28
2009-05-03 Horsens W 2-053.6 1555 1617 34.74% 28.93% 36.33%-0.03 +17.6 23
2009-05-03 @ Sonderjyske L 0-253.6 1617 1555 36.33% 28.93% 34.74%+0.03 -17.6 22
2009-05-03 Midtjylland L 0-256.6 1668 1728 35.10% 28.93% 35.97%-0.02 -17.1 27
2009-05-03 @ Nordsjaelland W 2-056.6 1728 1668 35.97% 28.93% 35.10%+0.02 +17.1 45
2009-05-04 Aarhus GF W 6-150.5 1862 1683 64.04% 22.95% 13.01%+1.37 +13.7 60
2009-05-04 @ Odense L 1-650.5 1683 1862 13.01% 22.95% 64.04%-1.37 -13.7 37
2009-05-08 Midtjylland L 2-367.3 1599 1745 24.35% 27.96% 47.69%-0.52 -6.1 22
2009-05-08 @ Horsens W 3-267.3 1745 1599 47.69% 27.96% 24.35%+0.52 +6.1 48
2009-05-09 Nordsjaelland W 3-153.0 1899 1651 70.40% 19.83% 9.78%+1.77 +4.4 67
2009-05-09 @ FC Copenhagen L 1-353.0 1651 1899 9.78% 19.83% 70.40%-1.77 -4.4 27
2009-05-10 Brondby L 1-263.0 1691 1836 24.46% 27.98% 47.56%-0.51 -6.5 28
2009-05-10 @ Esbjerg W 2-163.0 1836 1691 47.56% 27.98% 24.46%+0.51 +6.5 65
2009-05-10 Odense D 0-066.8 1732 1875 24.64% 28.01% 47.35%-0.50 +1.3 41
2009-05-10 @ Randers D 0-066.8 1875 1732 47.35% 28.01% 24.64%+0.50 -1.3 61
2009-05-10 Vejle BK D 0-061.9 1572 1578 42.67% 28.61% 28.72%+0.30 -0.8 24
2009-05-10 @ Sonderjyske D 0-061.9 1578 1572 28.72% 28.61% 42.67%-0.30 +0.8 21
2009-05-11 Aarhus GF D 1-170.6 1705 1669 48.09% 27.89% 24.02%+0.54 -1.2 36
2009-05-11 @ Aalborg D 1-170.6 1669 1705 24.02% 27.89% 48.09%-0.54 +1.2 38
2009-05-13 FC Copenhagen W 3-271.1 1874 1903 39.44% 28.84% 31.73%+0.16 +7.6 64
2009-05-13 @ Odense L 2-371.1 1903 1874 31.73% 28.84% 39.44%-0.16 -7.5 67
2009-05-13 Horsens D 1-167.2 1579 1593 41.48% 28.71% 29.81%+0.25 -0.6 22
2009-05-13 @ Vejle BK D 1-167.2 1593 1579 29.81% 28.71% 41.48%-0.25 +0.6 23
2009-05-13 Sonderjyske D 0-064.1 1647 1571 52.93% 26.85% 20.22%+0.77 -1.9 28
2009-05-13 @ Nordsjaelland D 0-064.1 1571 1647 20.22% 26.85% 52.93%-0.77 +1.9 25
2009-05-14 Aalborg W 2-162.1 1751 1703 49.59% 27.61% 22.80%+0.61 +6.1 51
2009-05-14 @ Midtjylland L 1-262.1 1703 1751 22.80% 27.61% 49.59%-0.61 -6.1 36
2009-05-14 Esbjerg W 3-160.7 1670 1685 41.45% 28.71% 29.84%+0.24 +13.2 41
2009-05-14 @ Aarhus GF L 1-360.7 1685 1670 29.84% 28.71% 41.45%-0.24 -13.2 28
2009-05-14 Randers W 3-049.3 1843 1734 56.79% 25.74% 17.47%+0.96 +14.0 68
2009-05-14 @ Brondby L 0-349.3 1734 1843 17.47% 25.74% 56.79%-0.96 -14.0 41
2009-05-16 Odense D 1-172.8 1573 1882 12.16% 22.24% 65.60%-1.47 +2.9 26
2009-05-16 @ Sonderjyske D 1-172.8 1882 1573 65.60% 22.24% 12.16%+1.47 -2.9 65
2009-05-17 Aarhus GF D 1-170.8 1720 1683 48.17% 27.87% 23.96%+0.54 -1.2 42
2009-05-17 @ Randers D 1-170.8 1683 1720 23.96% 27.87% 48.17%-0.54 +1.2 42
2009-05-17 Brondby W 4-051.9 1896 1857 48.53% 27.81% 23.66%+0.56 +24.0 70
2009-05-17 @ FC Copenhagen L 0-451.9 1857 1896 23.66% 27.81% 48.53%-0.56 -24.0 68
2009-05-17 Horsens D 2-276.4 1697 1594 56.19% 25.93% 17.88%+0.93 -1.5 37
2009-05-17 @ Aalborg D 2-276.4 1594 1697 17.88% 25.93% 56.19%-0.93 +1.5 24
2009-05-17 Midtjylland W 1-061.6 1672 1757 31.56% 28.83% 39.61%-0.17 +9.9 31
2009-05-17 @ Esbjerg L 0-161.6 1757 1672 39.61% 28.83% 31.56%+0.17 -9.9 51
2009-05-18 Vejle BK W 4-153.2 1645 1578 51.91% 27.10% 20.99%+0.72 +14.0 31
2009-05-18 @ Nordsjaelland L 1-453.2 1578 1645 20.99% 27.10% 51.91%-0.72 -14.0 22
2009-05-24 Brondby W 1-064.2 1685 1833 24.12% 27.91% 47.98%-0.53 +11.5 45
2009-05-24 @ Aarhus GF L 0-164.2 1833 1685 47.98% 27.91% 24.12%+0.53 -11.5 68
2009-05-24 FC Copenhagen L 0-154.0 1682 1920 16.35% 25.17% 58.49%-1.06 -4.8 31
2009-05-24 @ Esbjerg W 1-054.0 1920 1682 58.49% 25.17% 16.35%+1.06 +4.8 73
2009-05-24 Nordsjaelland L 2-369.4 1595 1659 34.56% 28.92% 36.52%-0.04 -8.0 24
2009-05-24 @ Horsens W 3-269.4 1659 1595 36.52% 28.92% 34.56%+0.04 +8.0 34
2009-05-24 Odense D 1-171.5 1747 1879 25.91% 28.24% 45.85%-0.44 +1.0 52
2009-05-24 @ Midtjylland D 1-171.5 1879 1747 45.85% 28.24% 25.91%+0.44 -1.0 66
2009-05-24 Sonderjyske D 1-170.2 1696 1576 57.94% 25.36% 16.70%+1.03 -2.2 38
2009-05-24 @ Aalborg D 1-170.2 1576 1696 16.70% 25.36% 57.94%-1.03 +2.2 27
2009-05-24 Vejle BK W 3-262.4 1718 1564 61.59% 23.99% 14.42%+1.23 +3.8 45
2009-05-24 @ Randers L 2-362.4 1564 1718 14.42% 23.99% 61.59%-1.23 -3.8 22
2009-05-31 Aalborg D 2-276.3 1667 1694 39.75% 28.82% 31.43%+0.17 -0.3 35
2009-05-31 @ Nordsjaelland D 2-276.3 1694 1667 31.43% 28.82% 39.75%-0.17 +0.3 39
2009-05-31 Aarhus GF W 2-167.5 1560 1696 25.42% 28.16% 46.43%-0.46 +10.6 25
2009-05-31 @ Vejle BK L 1-267.5 1696 1560 46.43% 28.16% 25.42%+0.46 -10.6 45
2009-05-31 Esbjerg D 1-168.9 1578 1677 29.85% 28.71% 41.44%-0.24 +0.6 28
2009-05-31 @ Sonderjyske D 1-168.9 1677 1578 41.44% 28.71% 29.85%+0.24 -0.6 32
2009-05-31 Horsens W 2-154.9 1878 1587 73.97% 17.85% 8.18%+2.02 +2.1 69
2009-05-31 @ Odense L 1-254.9 1587 1878 8.18% 17.85% 73.97%-2.02 -2.1 24
2009-05-31 Midtjylland L 2-472.0 1821 1748 52.65% 26.92% 20.42%+0.75 -18.2 68
2009-05-31 @ Brondby W 4-272.0 1748 1821 20.42% 26.92% 52.65%-0.75 +18.2 55
2009-05-31 Randers D 3-383.5 1924 1722 66.28% 21.91% 11.81%+1.51 -1.9 74
2009-05-31 @ FC Copenhagen D 3-383.5 1722 1924 11.81% 21.91% 66.28%-1.51 +1.9 46

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 2009-03-15 10.73% Esbjerg 1662 2 @ FC Copenhagen 1887 0
2 2009-04-27 11.08% Sonderjyske 1532 4 @ Midtjylland 1750 2
3 2009-04-19 15.54% @ Aarhus GF 1639 1 FC Copenhagen 1889 0
4 2009-04-12 15.87% @ Horsens 1607 3 Brondby 1852 0
5 2008-09-13 17.45% Aarhus GF 1621 2 @ Aalborg 1731 0
6 2009-04-19 17.52% Randers 1671 2 @ Midtjylland 1779 0
7 2009-03-08 17.82% @ Horsens 1599 2 Odense 1816 1
8 2008-11-30 19.48% Sonderjyske 1562 3 @ Horsens 1646 0
9 2008-10-05 19.74% Brondby 1726 1 @ Odense 1807 0
10 2009-05-31 20.42% Midtjylland 1748 4 @ Brondby 1821 2
11 2008-12-01 21.24% @ Aarhus GF 1656 2 Odense 1833 1
12 2008-08-17 21.78% Sonderjyske 1617 1 @ Nordsjaelland 1675 0
13 2009-03-15 22.18% Horsens 1611 2 @ Nordsjaelland 1665 1
14 2008-11-30 23.32% @ Aalborg 1715 3 FC Copenhagen 1871 1
15 2009-05-24 24.12% @ Aarhus GF 1685 1 Brondby 1833 0
16 2009-05-31 25.42% @ Vejle BK 1560 2 Aarhus GF 1696 1
17 2008-08-03 25.43% Randers 1717 3 @ Brondby 1740 0
18 2008-08-31 25.56% Horsens 1672 1 @ Esbjerg 1693 0
19 2008-10-05 25.81% @ Sonderjyske 1607 1 Randers 1740 0
20 2008-11-02 26.00% @ Aarhus GF 1649 2 Midtjylland 1780 1
21 2008-07-27 26.08% Vejle BK 1685 1 @ Esbjerg 1702 0
22 2009-04-26 26.79% Randers 1715 2 @ Aalborg 1726 1
23 2008-12-06 26.98% Brondby 1812 1 @ Odense 1821 0
24 2008-12-07 27.41% Aalborg 1735 2 @ Randers 1740 1
25 2009-04-14 27.62% Nordsjaelland 1685 2 @ Esbjerg 1688 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 2009-04-12 37.52 @ Horsens 3 1607 15.87% Brondby 0 1852 59.24% 24.90%
2 2008-11-30 34.74 Sonderjyske 3 1562 19.48% @ Horsens 0 1646 53.94% 26.59%
3 2009-04-10 31.97 @ Nordsjaelland 6 1653 37.77% Randers 1 1694 33.33% 28.90%
4 2008-11-22 31.63 Brondby 6 1774 51.93% @ Sonderjyske 0 1594 20.97% 27.10%
5 2008-08-03 30.73 Randers 3 1717 25.43% @ Brondby 0 1740 46.42% 28.16%
6 2009-03-15 28.88 Esbjerg 2 1662 10.73% @ FC Copenhagen 0 1887 68.41% 20.86%
7 2008-08-17 28.75 Odense 3 1757 28.74% @ Aalborg 0 1752 42.65% 28.61%
8 2008-08-10 28.50 @ Midtjylland 4 1775 41.98% Odense 0 1786 29.36% 28.67%
9 2008-08-31 28.21 Nordsjaelland 3 1663 29.70% @ Aarhus GF 0 1649 41.61% 28.70%
10 2008-11-22 26.00 Aalborg 3 1689 33.79% @ Vejle BK 0 1645 37.30% 28.91%
11 2008-10-26 25.91 @ Brondby 3 1738 33.97% Midtjylland 0 1806 37.12% 28.91%
12 2008-09-13 24.97 Aarhus GF 2 1621 17.45% @ Aalborg 0 1731 56.82% 25.73%
13 2009-04-19 24.93 Randers 2 1671 17.52% @ Midtjylland 0 1779 56.72% 25.76%
14 2008-11-16 24.54 FC Copenhagen 3 1844 36.64% @ Midtjylland 0 1779 34.43% 28.92%
15 2009-05-17 23.99 @ FC Copenhagen 4 1896 48.53% Brondby 0 1857 23.66% 27.81%
16 2009-04-27 22.20 Sonderjyske 4 1532 11.08% @ Midtjylland 2 1750 67.70% 21.22%
17 2009-04-22 22.09 Aarhus GF 3 1653 41.44% @ Sonderjyske 0 1554 29.85% 28.71%
18 2009-04-23 22.04 Odense 5 1839 57.31% @ Vejle BK 0 1612 17.12% 25.57%
19 2008-10-06 20.54 FC Copenhagen 3 1809 44.42% @ Vejle BK 0 1688 27.16% 28.42%
20 2009-03-07 19.93 FC Copenhagen 3 1867 45.57% @ Randers 0 1738 26.15% 28.28%
21 2008-07-20 19.60 Brondby 2 1712 29.23% @ Nordsjaelland 0 1702 42.11% 28.66%
22 2008-11-30 19.13 @ Aalborg 3 1715 23.32% FC Copenhagen 1 1871 48.95% 27.73%
23 2009-04-22 19.07 @ Randers 5 1696 50.11% Horsens 1 1644 22.39% 27.50%
24 2008-11-02 18.22 Randers 4 1726 42.37% @ Sonderjyske 1 1621 29.00% 28.63%
25 2009-05-31 18.17 Midtjylland 4 1748 20.42% @ Brondby 2 1821 52.65% 26.92%

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 2009-05-31 83.5 @ FC Copenhagen 3 1924 66.28% Randers 3 1722 11.81% 21.91%
2 2008-10-26 77.0 @ Randers 2 1727 49.64% Aalborg 2 1679 22.76% 27.60%
3 2008-11-16 76.7 @ Horsens 2 1653 30.04% Randers 2 1750 41.23% 28.73%
4 2008-11-30 76.6 @ Esbjerg 2 1661 32.46% Randers 2 1740 38.67% 28.87%
5 2008-10-19 76.4 @ Sonderjyske 2 1619 27.19% Brondby 2 1739 44.38% 28.43%
6 2009-05-17 76.4 @ Aalborg 2 1697 56.19% Horsens 2 1594 17.88% 25.93%
7 2009-05-31 76.3 @ Nordsjaelland 2 1667 39.75% Aalborg 2 1694 31.43% 28.82%
8 2009-04-27 72.9 Sonderjyske 4 1532 11.08% @ Midtjylland 2 1750 67.70% 21.22%
9 2009-05-16 72.8 @ Sonderjyske 1 1573 12.16% Odense 1 1882 65.60% 22.24%
10 2008-08-02 72.0 Aalborg 3 1745 34.39% @ Vejle BK 2 1696 36.69% 28.92%
11 2008-11-01 72.0 @ Odense 1 1803 58.28% Aalborg 1 1680 16.48% 25.24%
12 2009-05-31 72.0 Midtjylland 4 1748 20.42% @ Brondby 2 1821 52.65% 26.92%
13 2009-02-28 71.8 @ Midtjylland 1 1778 57.62% Esbjerg 1 1662 16.91% 25.46%
14 2008-09-01 71.7 @ Midtjylland 1 1790 55.35% Vejle BK 1 1694 18.46% 26.18%
15 2008-11-02 71.5 @ Vejle BK 1 1661 21.59% FC Copenhagen 1 1835 51.12% 27.29%
16 2009-05-24 71.5 @ Midtjylland 1 1747 25.91% Odense 1 1879 45.85% 28.24%
17 2009-03-08 71.4 @ Horsens 2 1599 17.82% Odense 1 1816 56.28% 25.90%
18 2008-08-09 71.3 @ Aalborg 1 1753 51.52% Esbjerg 1 1690 21.29% 27.20%
19 2009-03-08 71.3 @ Aalborg 1 1752 54.49% Nordsjaelland 1 1663 19.07% 26.43%
20 2008-08-16 71.2 @ Randers 1 1748 50.64% Esbjerg 1 1691 21.97% 27.39%
21 2009-03-08 71.2 @ Midtjylland 1 1776 38.29% Brondby 1 1813 32.83% 28.88%
22 2009-05-13 71.1 @ Odense 3 1874 39.44% FC Copenhagen 2 1903 31.73% 28.84%
23 2008-07-27 71.0 @ Randers 1 1717 34.34% FC Copenhagen 1 1782 36.74% 28.92%
24 2008-10-19 71.0 @ Randers 1 1729 51.23% Vejle BK 1 1668 21.51% 27.26%
25 2008-08-04 70.9 @ Sonderjyske 1 1621 22.83% FC Copenhagen 1 1782 49.56% 27.61%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2008-11-09 45.2 @ FC Copenhagen 4 1833 68.87% Sonderjyske 0 1602 10.50% 20.63%
2 2009-03-01 47.3 @ Odense 2 1810 67.16% Sonderjyske 0 1599 11.35% 21.49%
3 2009-05-03 47.3 @ FC Copenhagen 3 1888 63.46% Aalborg 0 1715 13.33% 23.20%
4 2008-11-29 48.1 @ Brondby 2 1806 64.76% Vejle BK 0 1619 12.61% 22.62%
5 2009-04-18 48.2 @ Brondby 5 1814 70.76% Sonderjyske 1 1562 9.61% 19.63%
6 2009-04-19 48.4 @ Odense 3 1827 59.21% Nordsjaelland 0 1695 15.88% 24.91%
7 2008-09-15 48.5 @ Odense 2 1793 63.29% Sonderjyske 0 1621 13.43% 23.28%
8 2008-11-16 49.2 @ Odense 2 1807 61.59% Vejle BK 0 1653 14.42% 23.99%
9 2009-03-15 49.2 @ Brondby 2 1814 61.73% Aarhus GF 0 1658 14.33% 23.93%
10 2009-05-14 49.3 @ Brondby 3 1843 56.79% Randers 0 1734 17.47% 25.74%
11 2008-11-30 49.6 @ Midtjylland 3 1765 54.11% Nordsjaelland 0 1679 19.35% 26.54%
12 2009-04-23 49.6 Odense 5 1839 57.31% @ Vejle BK 0 1612 17.12% 25.57%
13 2009-04-13 49.8 @ FC Copenhagen 4 1884 72.15% Vejle BK 1 1615 8.98% 18.88%
14 2009-04-25 49.8 FC Copenhagen 2 1880 60.27% @ Horsens 0 1625 15.22% 24.51%
15 2008-09-21 49.9 @ FC Copenhagen 3 1788 53.80% Aalborg 0 1706 19.57% 26.62%
16 2009-04-04 50.1 FC Copenhagen 3 1865 53.81% @ Nordsjaelland 0 1669 19.57% 26.62%
17 2009-05-04 50.5 @ Odense 6 1862 64.04% Aarhus GF 1 1683 13.01% 22.95%
18 2008-11-10 50.6 @ Midtjylland 2 1770 56.53% Vejle BK 0 1663 17.65% 25.82%
19 2009-04-22 50.6 Aarhus GF 3 1653 41.44% @ Sonderjyske 0 1554 29.85% 28.71%
20 2008-07-20 51.4 @ Horsens 2 1691 51.04% Sonderjyske 0 1632 21.66% 27.30%
21 2008-11-22 51.5 Brondby 6 1774 51.93% @ Sonderjyske 0 1594 20.97% 27.10%
22 2009-05-17 51.9 @ FC Copenhagen 4 1896 48.53% Brondby 0 1857 23.66% 27.81%
23 2009-04-09 52.1 @ Brondby 2 1841 53.23% Aalborg 0 1763 19.99% 26.77%
24 2009-03-07 52.7 FC Copenhagen 3 1867 45.57% @ Randers 0 1738 26.15% 28.28%
25 2008-10-06 52.8 FC Copenhagen 3 1809 44.42% @ Vejle BK 0 1688 27.16% 28.42%