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2007-08 Superliga Season

198 games

Final

Champion

Aalborg

71 points · 3rd Title

Last Title: 1998-99

Relegated

Lyngby

18 pts

Viborg · 20 pts

Biggest Overachiever

Aalborg

15.97 points above expected

71 points · 55.03 expected points

Biggest Disappointment

Nordsjaelland

9.85 points below expected

43 points · 52.85 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 Aalborg Champion 33 22 5 6 71 60 38 +22 55.03 +15.97
2 Midtjylland 33 18 8 7 62 53 36 +17 54.83 +7.17
3 FC Copenhagen 33 17 9 7 60 51 29 +22 61.95 -1.95
4 Odense 33 12 16 5 52 46 27 +19 56.02 -4.02
5 Horsens 33 14 10 9 52 47 43 +4 40.28 +11.72
6 Randers 33 13 8 12 47 41 33 +8 46.18 +0.82
7 Esbjerg 33 13 6 14 45 59 54 +5 46.89 -1.89
8 Brondby 33 11 10 12 43 44 44 0 46.11 -3.11
9 Nordsjaelland 33 11 10 12 43 47 51 -4 52.85 -9.85
10 Aarhus GF 33 7 8 18 29 33 51 -18 32.63 -3.63
11 Viborg Relegated 33 5 5 23 20 29 68 -39 29.50 -9.50
12 Lyngby Relegated 33 3 9 21 18 33 69 -36 22.77 -4.77

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.

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
FC Copenhagen 1788 60 61.95 -1.95 41.2% 35 50 57 62 67 73 89
Aalborg 1772 71 55.03 +15.97 98.9% 26 43 50 55 60 67 83
Midtjylland 1765 62 54.83 +7.17 85.9% 32 43 50 55 60 67 82
Odense 1746 52 56.02 -4.02 31.0% 28 44 51 56 61 68 83
Brondby 1668 43 46.11 -3.11 36.1% 22 34 41 46 51 58 73
Esbjerg 1658 45 46.89 -1.89 42.9% 23 35 42 47 52 59 75
Randers 1655 47 46.18 +0.82 57.2% 22 35 41 46 51 58 74
Nordsjaelland 1649 43 52.85 -9.85 9.7% 27 41 48 53 58 64 81
Horsens 1629 52 40.28 +11.72 95.7% 14 29 36 40 45 52 72
Aarhus GF 1535 29 32.63 -3.63 32.3% 9 22 28 32 37 44 60
Viborg 1459 20 29.50 -9.50 8.2% 8 19 25 29 34 40 57
Lyngby 1428 18 22.77 -4.77 24.9% 3 13 19 23 27 33 48

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 LYN MID NOR ODE RAN VIB
Aalborg —
3-0-0
6.20
3-0-0
5.17
2-1-0
4.25
0-2-1
3.84
2-1-0
5.03
3-0-0
6.67
1-0-2
3.81
3-0-0
4.38
1-1-1
4.28
1-0-2
4.58
3-0-0
6.72
Aarhus GF
0-0-3
2.13
 —
1-1-1
2.55
1-1-1
2.52
0-1-2
2.08
0-1-2
3.81
2-1-0
5.36
1-0-2
2.10
0-1-2
2.59
0-0-3
2.55
1-1-1
2.73
1-1-1
4.19
Brondby
0-0-3
3.05
1-1-1
5.71
 —
1-0-2
3.87
1-1-1
2.80
2-0-1
4.24
2-1-0
6.41
1-1-1
3.31
1-1-1
3.83
0-2-1
3.41
1-1-1
4.27
1-2-0
5.29
Esbjerg
0-1-2
3.94
1-1-1
5.76
2-0-1
4.31
 —
1-0-2
2.63
0-0-3
4.49
3-0-0
6.07
2-1-0
3.59
0-0-3
3.34
0-3-0
3.06
1-0-2
4.57
3-0-0
5.25
FC Copenhagen
1-2-0
4.34
2-1-0
6.25
1-1-1
5.44
2-0-1
5.62
 —
2-0-1
6.09
3-0-0
7.43
0-2-1
5.19
1-1-1
4.56
1-2-0
4.31
1-0-2
5.69
3-0-0
7.03
Horsens
0-1-2
3.19
2-1-0
4.39
1-0-2
3.94
3-0-0
3.70
1-0-2
2.23
 —
1-1-1
5.64
1-2-0
3.17
2-1-0
2.71
0-2-1
2.51
2-1-0
3.81
1-1-1
4.93
Lyngby
0-0-3
1.73
0-1-2
2.89
0-1-2
1.94
0-0-3
2.25
0-0-3
1.13
1-1-1
2.62
 —
0-0-3
1.72
1-2-0
1.56
0-2-1
1.42
0-2-1
2.37
1-0-2
3.10
Midtjylland
2-0-1
4.38
2-0-1
6.24
1-1-1
4.90
0-1-2
4.59
1-2-0
3.03
0-2-1
5.04
3-0-0
6.68
 —
2-1-0
4.11
3-0-0
4.17
2-0-1
5.19
2-1-0
6.56
Nordsjaelland
0-0-3
3.81
2-1-0
5.67
1-1-1
4.35
3-0-0
4.86
1-1-1
3.64
0-1-2
5.54
0-2-1
6.88
0-1-2
4.06
 —
0-2-1
3.52
1-1-1
4.17
3-0-0
6.42
Odense
1-1-1
3.91
3-0-0
5.72
1-2-0
4.80
0-3-0
5.17
0-2-1
3.88
1-2-0
5.75
1-2-0
7.06
0-0-3
4.03
1-2-0
4.68
 —
1-2-0
4.41
3-0-0
6.59
Randers
2-0-1
3.63
1-1-1
5.53
1-1-1
3.90
2-0-1
3.62
2-0-1
2.56
0-1-2
4.37
1-2-0
5.95
1-0-2
3.03
1-1-1
4.02
0-2-1
3.77
 —
2-0-1
5.82
Viborg
0-0-3
1.69
1-1-1
4.01
0-2-1
2.97
0-0-3
3.00
0-0-3
1.44
1-1-1
3.29
2-0-1
5.11
0-1-2
1.81
0-0-3
1.94
0-0-3
1.81
1-0-2
2.46
 —

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 0.75 +14.1
Allowed 0.69 -9.8
Differential 0.92 +7.4

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
09.09%6.82%6.57%3.03%1.01%0.76%27.27%
16.82%12.12%8.84%3.79%0.76%0.25%32.58%
26.57%8.84%3.54%3.28%0.25%0.25%22.73%
33.03%3.79%3.28%1.52%0.51%0.76%12.88%
41.01%0.76%0.25%0.51%——2.53%
5+0.76%0.25%0.25%0.76%——2.02%
Total27.27%32.58%22.73%12.88%2.53%2.02%100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.37 +0.00
SD 1.21 1.21 1.69
CV 0.88 0.88 —
Max 6 6 +5
Min 0 0 -5

Games Played: 198

↓ Scored | Allowed →012345+Total
03.03%3.03%3.03%—3.03%3.03%15.15%
112.12%12.12%3.03%———27.27%
218.18%12.12%—3.03%——33.33%
36.06%6.06%3.03%———15.15%
4———3.03%——3.03%
5+———6.06%——6.06%
Total39.39%33.33%9.09%12.12%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.82 1.15 +0.67
SD 1.31 1.33 1.78
CV 0.72 1.15 —
Max 5 5 +3
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
012.12%6.06%21.21%———39.39%
19.09%6.06%12.12%3.03%3.03%—33.33%
26.06%—3.03%6.06%——15.15%
3—6.06%—3.03%—3.03%12.12%
4———————
5+———————
Total27.27%18.18%36.36%12.12%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.55 -0.55
SD 1.03 1.28 1.39
CV 1.03 0.83 —
Max 3 5 +2
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%15.15%6.06%3.03%—3.03%30.30%
1—21.21%3.03%———24.24%
2—15.15%6.06%3.03%3.03%—27.27%
312.12%6.06%————18.18%
4———————
5+———————
Total15.15%57.58%15.15%6.06%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.33 +0.00
SD 1.11 1.11 1.79
CV 0.83 0.83 —
Max 3 5 +3
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%6.06%3.03%———12.12%
16.06%9.09%12.12%12.12%——39.39%
23.03%9.09%6.06%3.03%—3.03%24.24%
3—3.03%9.09%—3.03%—15.15%
43.03%—————3.03%
5+3.03%3.03%————6.06%
Total18.18%30.30%30.30%15.15%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.79 1.64 +0.15
SD 1.39 1.22 1.92
CV 0.78 0.75 —
Max 6 5 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
012.12%6.06%3.03%———21.21%
115.15%12.12%9.09%———36.36%
26.06%9.09%3.03%3.03%——21.21%
33.03%6.06%3.03%———12.12%
43.03%3.03%————6.06%
5+——3.03%———3.03%
Total39.39%36.36%21.21%3.03%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.55 0.88 +0.67
SD 1.30 0.86 1.41
CV 0.84 0.98 —
Max 5 3 +4
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
012.12%9.09%3.03%3.03%——27.27%
16.06%12.12%6.06%3.03%3.03%—30.30%
23.03%15.15%3.03%———21.21%
3—9.09%3.03%3.03%——15.15%
4——3.03%3.03%——6.06%
5+———————
Total21.21%45.45%18.18%12.12%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.30 +0.12
SD 1.23 1.05 1.36
CV 0.86 0.80 —
Max 4 4 +2
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
015.15%—6.06%12.12%——33.33%
13.03%6.06%18.18%12.12%3.03%3.03%45.45%
23.03%—6.06%3.03%——12.12%
3————3.03%3.03%6.06%
4—3.03%————3.03%
5+———————
Total21.21%9.09%30.30%27.27%6.06%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 2.09 -1.09
SD 1.00 1.51 1.59
CV 1.00 0.72 —
Max 4 6 +3
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%3.03%6.06%3.03%——15.15%
19.09%15.15%6.06%———30.30%
29.09%21.21%6.06%3.03%——39.39%
33.03%3.03%6.06%———12.12%
4———————
5+3.03%—————3.03%
Total27.27%42.42%24.24%6.06%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.09 +0.52
SD 1.09 0.88 1.52
CV 0.68 0.81 —
Max 5 3 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%6.06%3.03%9.09%——27.27%
16.06%12.12%15.15%3.03%——36.36%
2—9.09%3.03%———12.12%
3—3.03%9.09%6.06%——18.18%
43.03%—————3.03%
5+———3.03%——3.03%
Total18.18%30.30%30.30%21.21%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.55 -0.12
SD 1.32 1.03 1.52
CV 0.93 0.67 —
Max 5 3 +4
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
018.18%3.03%3.03%———24.24%
13.03%21.21%6.06%3.03%——33.33%
221.21%—3.03%———24.24%
36.06%—3.03%6.06%——15.15%
43.03%—————3.03%
5+———————
Total51.52%24.24%15.15%9.09%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.39 0.82 +0.58
SD 1.12 1.01 1.41
CV 0.80 1.24 —
Max 4 3 +4
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
015.15%12.12%6.06%3.03%——36.36%
112.12%6.06%6.06%3.03%——27.27%
23.03%9.09%3.03%6.06%——21.21%
36.06%3.03%————9.09%
4—3.03%————3.03%
5+3.03%—————3.03%
Total39.39%33.33%15.15%12.12%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.24 1.00 +0.24
SD 1.30 1.03 1.71
CV 1.05 1.03 —
Max 5 3 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%12.12%15.15%3.03%9.09%3.03%45.45%
1—12.12%9.09%6.06%——27.27%
26.06%6.06%—9.09%——21.21%
3——3.03%——3.03%6.06%
4———————
5+———————
Total9.09%30.30%27.27%18.18%9.09%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 0.88 2.06 -1.18
SD 0.96 1.34 1.67
CV 1.09 0.65 —
Max 3 5 +2
Min 0 0 -5

Games Played: 33

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 Aalborg 71 55.03 +15.97
2 Horsens 52 40.28 +11.72
3 Midtjylland 62 54.83 +7.17
4 Randers 47 46.18 +0.82
5 Esbjerg 45 46.89 -1.89

Biggest Disappointments

# Team Actual Sim vsSim
1 Nordsjaelland 43 52.85 -9.85
2 Viborg 20 29.50 -9.50
3 Lyngby 18 22.77 -4.77
4 Odense 52 56.02 -4.02
5 Aarhus GF 29 32.63 -3.63

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 Aalborg 6 Aug 26 – Oct 8 1 in 87
2 Midtjylland 4 Mar 23 – Apr 13 1 in 81
3 Randers 4 Jul 18 – Aug 5 1 in 48
4 Horsens 2 Jul 18 – Jul 23 1 in 12
5 Lyngby 1 Jul 29 – Jul 29 1 in 11

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Viborg 7 Sep 24 – Nov 12 1 in 149
2 Randers 4 Aug 26 – Sep 23 1 in 58
3 Esbjerg 3 Aug 26 – Sep 17 1 in 19
4 Brondby 2 Aug 18 – Aug 26 1 in 17
5 Nordsjaelland 3 May 4 – May 12 1 in 16

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Aarhus GF 5 Nov 12 – Mar 20 1 in 24
2 FC Copenhagen 12 Jul 25 – Oct 20 1 in 21
3 Midtjylland 9 Mar 23 – May 7 1 in 19
4 Horsens 5 Jul 18 – Aug 12 1 in 17
5 Lyngby 2 Jul 25 – Jul 29 1 in 14

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Brondby 7 Aug 13 – Sep 30 1 in 30
2 Randers 7 Aug 12 – Sep 30 1 in 28
3 Nordsjaelland 6 May 4 – May 24 1 in 23
4 Odense 5 May 7 – May 24 1 in 21
5 FC Copenhagen 4 Apr 6 – Apr 24 1 in 21

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).

Team123456789101112
Aalborg13.21%18.64%17.46%15.60%13.31%9.82%6.31%3.67%1.57%0.35%0.06%—
Midtjylland12.19%16.81%18.02%15.97%13.53%10.56%7.15%3.80%1.64%0.28%0.05%—
FC Copenhagen47.96%21.89%12.92%8.06%4.65%2.65%1.22%0.50%0.14%0.01%——
Odense15.51%19.86%18.87%15.56%11.94%8.42%5.33%3.08%1.08%0.30%0.04%0.01%
Horsens0.21%0.54%1.22%2.67%4.23%7.89%12.55%19.93%27.96%15.20%6.38%1.22%
Randers1.13%3.31%5.41%8.65%11.95%15.26%18.18%17.37%12.49%4.54%1.57%0.14%
Esbjerg1.77%3.85%6.12%8.84%12.86%15.59%17.12%16.46%12.33%3.87%1.10%0.09%
Brondby1.13%2.97%5.34%8.36%11.33%15.20%17.51%18.00%13.48%5.23%1.27%0.18%
Nordsjaelland6.89%12.09%14.55%16.01%15.59%13.03%10.45%6.99%3.42%0.84%0.13%0.01%
Aarhus GF—0.04%0.07%0.23%0.52%1.26%2.80%6.61%15.70%36.69%27.24%8.84%
Viborg——0.02%0.05%0.09%0.31%1.23%3.19%8.64%24.88%41.02%20.57%
Lyngby—————0.01%0.15%0.40%1.55%7.81%21.14%68.94%

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
+21.21%
Clear Edge
47.47%26.26%26.26%
Elo Value
Home Edge
223 Elo
0.004 goals per Elo point
074.83600
Scoring Tilt
Expected
+0.38 goals
Neutral
-2+0.34+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 * 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 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
3.4
Top-Heavy
124610
Champion Preseason Odds
13%
Aalborg, 3rd of 12
LongshotFavorite
Title Margin
Expected
0.27/gm
Tight Race
00.160.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.55 * Some Luck: 5.55 to 8.33 * Lucky: 8.33 to 11.1 * Wild Swing: 11.1 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 1.15 * Close: 1.15 to 1.73 * Off: 1.73 to 2.3 * Way Off: 2.3 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 0.5 * A Surprise: 0.5 to 0.8 * Several Surprises: 0.8 to 1.1 * Many Surprises: 1.1 and up.
Luck Spread
Expected
7.64 points
Some Luck
06.9417
Average Finish Error
Expected
1.50
Close
01.443
Biggest Overachiever
Expected 95.83%
98.87%
Aalborg
50100
Biggest Underachiever
Expected 4.17%
8.22%
Viborg
050
Season Outliers
Expected
2 of 12
Minimal Outliers
01.26
Unexpected Relegations
Expected
0 of 2
As Expected
00.52

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
1.89
Strong Separation
01.003
Interquartile Edge
70%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
89%
Strong Edge
50%91%100%
Close Games
Expected
65%
Very Frequent
0%62%100%
Blowouts
Expected
12%
Occasional
0%14%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
0.57
Predictable
00.592
Matchup Imbalance
0.39
Lopsided
00.10.180.280.5
Strangeness
Expected
1.20
Wilder Than Modeled
01.002
Repeatability
0.65
Strong Carryover
00.30.60.851
Upset Rate
Expected
16%
Chalky
0%23%50%
Clear Favorite Upset Rate
Expected
14%
Solid Favorites
0%18%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 0.23 * Well Above Noise: 0.23 and up.
Probability calibration
0.36
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.29
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.095
Well Within Noise
00.1170.3

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% —
Midtjylland 99.95% 0.05%
Odense 99.95% 0.05%
Aalborg 99.94% 0.06%
Nordsjaelland 99.86% 0.14%
Esbjerg 98.81% 1.19%
Brondby 98.55% 1.45%
Randers 98.29% 1.71%
Horsens 92.40% 7.60%
Aarhus GF 63.92% 36.08%
Viborg 38.41% 61.59%
Lyngby 9.92% 90.08%

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
2007-07-18 Brondby W 1-0 1641 1681 41.08% 27.68% 31.24% +6.6 3
2007-07-18 @ Esbjerg L 0-1 1681 1641 31.24% 27.68% 41.08% -6.6 0
2007-07-18 FC Copenhagen W 1-0 1728 1776 39.90% 27.76% 32.34% +6.7 3
2007-07-18 @ Nordsjaelland L 0-1 1776 1728 32.34% 27.76% 39.90% -6.7 0
2007-07-18 Horsens L 1-2 1561 1579 43.99% 27.42% 28.60% -8.0 0
2007-07-18 @ Aarhus GF W 2-1 1579 1561 28.60% 27.42% 43.99% +8.0 3
2007-07-18 Viborg W 2-0 1611 1579 50.58% 26.31% 23.11% +9.7 3
2007-07-18 @ Randers L 0-2 1579 1611 23.11% 26.31% 50.58% -9.7 0
2007-07-21 Nordsjaelland D 2-2 1674 1735 38.11% 27.83% 34.06% -0.1 1
2007-07-21 @ Brondby D 2-2 1735 1674 34.06% 27.83% 38.11% +0.1 4
2007-07-22 Esbjerg L 0-5 1570 1648 35.63% 27.86% 36.52% -31.9 0
2007-07-22 @ Viborg W 5-0 1648 1570 36.52% 27.86% 35.63% +31.9 6
2007-07-22 Odense L 0-2 1553 1691 27.77% 27.30% 44.92% -11.3 0
2007-07-22 @ Aarhus GF W 2-0 1691 1553 44.92% 27.30% 27.77% +11.3 3
2007-07-22 Randers L 0-3 1484 1621 27.93% 27.32% 44.74% -16.5 0
2007-07-22 @ Lyngby W 3-0 1621 1484 44.74% 27.32% 27.93% +16.5 6
2007-07-23 Midtjylland W 2-1 1587 1708 29.90% 27.57% 42.54% +7.8 6
2007-07-23 @ Horsens L 1-2 1708 1587 42.54% 27.57% 29.90% -7.8 0
2007-07-25 FC Copenhagen D 1-1 1713 1769 38.73% 27.81% 33.46% -0.2 1
2007-07-25 @ Aalborg D 1-1 1769 1713 33.46% 27.81% 38.73% +0.2 1
2007-07-25 Lyngby D 1-1 1702 1468 72.20% 17.77% 10.02% -2.7 4
2007-07-25 @ Odense D 1-1 1468 1702 10.02% 17.77% 72.20% +2.7 1
2007-07-28 Viborg W 3-1 1769 1538 71.91% 17.93% 10.16% +3.5 4
2007-07-28 @ FC Copenhagen L 1-3 1538 1769 10.16% 17.93% 71.91% -3.5 0
2007-07-29 Brondby W 5-0 1700 1674 49.86% 26.47% 23.67% +23.1 3
2007-07-29 @ Midtjylland L 0-5 1674 1700 23.67% 26.47% 49.86% -23.1 1
2007-07-29 Horsens D 3-3 1700 1595 59.18% 23.78% 17.04% -1.1 5
2007-07-29 @ Odense D 3-3 1595 1700 17.04% 23.78% 59.18% +1.1 7
2007-07-29 Lyngby L 0-1 1735 1470 74.77% 16.36% 8.87% -12.8 4
2007-07-29 @ Nordsjaelland W 1-0 1470 1735 8.87% 16.36% 74.77% +12.8 4
2007-07-30 Aarhus GF D 2-2 1679 1542 62.78% 22.35% 14.87% -1.5 7
2007-07-30 @ Esbjerg D 2-2 1542 1679 14.87% 22.35% 62.78% +1.5 1
2007-08-01 Aalborg W 5-0 1637 1713 36.01% 27.86% 36.13% +32.2 9
2007-08-01 @ Randers L 0-5 1713 1637 36.13% 27.86% 36.01% -32.2 1
2007-08-04 FC Copenhagen L 0-1 1543 1773 18.88% 24.74% 56.37% -4.2 1
2007-08-04 @ Aarhus GF W 1-0 1773 1543 56.37% 24.74% 18.88% +4.2 7
2007-08-05 Aalborg D 1-1 1596 1680 34.73% 27.85% 37.42% +0.1 8
2007-08-05 @ Horsens D 1-1 1680 1596 37.42% 27.85% 34.73% -0.1 2
2007-08-05 Lyngby W 3-0 1651 1483 65.85% 20.98% 13.17% +7.9 4
2007-08-05 @ Brondby L 0-3 1483 1651 13.17% 20.98% 65.85% -7.9 4
2007-08-05 Randers L 1-3 1678 1670 47.55% 26.91% 25.54% -14.7 7
2007-08-05 @ Esbjerg W 3-1 1670 1678 25.54% 26.91% 47.55% +14.7 12
2007-08-05 Viborg W 1-0 1723 1534 67.94% 19.98% 12.08% +2.6 6
2007-08-05 @ Midtjylland L 0-1 1534 1723 12.08% 19.98% 67.94% -2.6 0
2007-08-06 Nordsjaelland W 3-0 1699 1722 43.31% 27.49% 29.20% +17.0 8
2007-08-06 @ Odense L 0-3 1722 1699 29.20% 27.49% 43.31% -17.0 4
2007-08-08 Aalborg W 2-1 1726 1680 52.26% 25.92% 21.82% +4.6 9
2007-08-08 @ Midtjylland L 1-2 1680 1726 21.82% 25.92% 52.26% -4.6 2
2007-08-11 Esbjerg W 5-2 1777 1663 60.19% 23.40% 16.41% +7.4 10
2007-08-11 @ FC Copenhagen L 2-5 1663 1777 16.41% 23.40% 60.19% -7.4 7
2007-08-12 Aarhus GF W 2-0 1676 1539 62.67% 22.40% 14.93% +6.3 5
2007-08-12 @ Aalborg L 0-2 1539 1676 14.93% 22.40% 62.67% -6.3 1
2007-08-12 Horsens D 0-0 1475 1596 29.84% 27.56% 42.60% +0.6 5
2007-08-12 @ Lyngby D 0-0 1596 1475 42.60% 27.56% 29.84% -0.5 9
2007-08-12 Midtjylland D 1-1 1705 1730 43.01% 27.52% 29.47% -0.5 5
2007-08-12 @ Nordsjaelland D 1-1 1730 1705 29.47% 27.52% 43.01% +0.5 10
2007-08-12 Odense D 0-0 1684 1716 42.22% 27.59% 30.18% -0.5 13
2007-08-12 @ Randers D 0-0 1716 1684 30.18% 27.59% 42.22% +0.5 9
2007-08-13 Brondby D 1-1 1532 1659 29.10% 27.48% 43.42% +0.6 1
2007-08-13 @ Viborg D 1-1 1659 1532 43.42% 27.48% 29.10% -0.6 5
2007-08-18 Aarhus GF L 0-1 1658 1533 61.47% 22.89% 15.64% -11.1 5
2007-08-18 @ Brondby W 1-0 1533 1658 15.64% 22.89% 61.47% +11.1 4
2007-08-19 Horsens W 2-1 1532 1596 37.69% 27.84% 34.47% +6.6 4
2007-08-19 @ Viborg L 1-2 1596 1532 34.47% 27.84% 37.69% -6.7 9
2007-08-19 Midtjylland D 0-0 1784 1731 53.23% 25.67% 21.11% -1.5 11
2007-08-19 @ FC Copenhagen D 0-0 1731 1784 21.11% 25.67% 53.23% +1.5 11
2007-08-19 Nordsjaelland D 1-1 1684 1704 43.70% 27.45% 28.85% -0.6 14
2007-08-19 @ Randers D 1-1 1704 1684 28.85% 27.45% 43.70% +0.6 6
2007-08-19 Odense L 2-3 1682 1716 41.83% 27.63% 30.55% -7.3 5
2007-08-19 @ Aalborg W 3-2 1716 1682 30.55% 27.63% 41.83% +7.3 12
2007-08-20 Esbjerg L 1-6 1476 1656 23.26% 26.36% 50.39% -18.8 5
2007-08-20 @ Lyngby W 6-1 1656 1476 50.39% 26.36% 23.26% +18.8 10
2007-08-25 FC Copenhagen D 0-0 1723 1783 38.27% 27.83% 33.90% -0.2 13
2007-08-25 @ Odense D 0-0 1783 1723 33.90% 27.83% 38.27% +0.2 12
2007-08-26 Aalborg L 1-2 1675 1675 46.45% 27.09% 26.47% -8.3 10
2007-08-26 @ Esbjerg W 2-1 1675 1675 26.47% 27.09% 46.45% +8.3 8
2007-08-26 Brondby W 4-2 1589 1647 38.47% 27.82% 33.71% +10.1 12
2007-08-26 @ Horsens L 2-4 1647 1589 33.71% 27.82% 38.47% -10.1 5
2007-08-26 Randers W 3-2 1732 1683 52.72% 25.80% 21.48% +4.3 14
2007-08-26 @ Midtjylland L 2-3 1683 1732 21.48% 25.80% 52.72% -4.3 14
2007-08-26 Viborg W 4-0 1705 1539 65.68% 21.06% 13.26% +10.4 9
2007-08-26 @ Nordsjaelland L 0-4 1539 1705 13.26% 21.06% 65.68% -10.4 4
2007-08-27 Lyngby D 0-0 1544 1457 57.17% 24.48% 18.35% -1.8 5
2007-08-27 @ Aarhus GF D 0-0 1457 1544 18.35% 24.48% 57.17% +1.8 6
2007-09-01 Aarhus GF W 2-0 1528 1542 44.65% 27.34% 28.01% +11.4 7
2007-09-01 @ Viborg L 0-2 1542 1528 28.01% 27.34% 44.65% -11.4 5
2007-09-02 Esbjerg W 4-3 1599 1666 37.18% 27.85% 34.97% +6.2 15
2007-09-02 @ Horsens L 3-4 1666 1599 34.97% 27.85% 37.18% -6.2 10
2007-09-02 Midtjylland L 1-2 1459 1737 15.46% 22.77% 61.77% -3.3 6
2007-09-02 @ Lyngby W 2-1 1737 1459 61.77% 22.77% 15.46% +3.3 17
2007-09-02 Odense D 1-1 1637 1723 34.44% 27.84% 37.72% +0.1 6
2007-09-02 @ Brondby D 1-1 1723 1637 37.72% 27.84% 34.44% -0.1 14
2007-09-02 Randers W 1-0 1783 1679 59.12% 23.80% 17.08% +3.8 15
2007-09-02 @ FC Copenhagen L 0-1 1679 1783 17.08% 23.80% 59.12% -3.8 14
2007-09-03 Nordsjaelland W 2-1 1683 1715 42.08% 27.61% 30.31% +6.0 11
2007-09-03 @ Aalborg L 1-2 1715 1683 30.31% 27.61% 42.08% -6.0 9
2007-09-15 Horsens W 1-0 1787 1605 67.22% 20.33% 12.45% +2.7 18
2007-09-15 @ FC Copenhagen L 0-1 1605 1787 12.45% 20.33% 67.22% -2.7 15
2007-09-16 Aarhus GF L 0-1 1675 1530 63.48% 22.05% 14.47% -11.4 14
2007-09-16 @ Randers W 1-0 1530 1675 14.47% 22.05% 63.48% +11.4 8
2007-09-16 Brondby W 3-0 1689 1637 53.06% 25.71% 21.23% +13.0 14
2007-09-16 @ Aalborg L 0-3 1637 1689 21.23% 25.71% 53.06% -13.0 6
2007-09-16 Lyngby W 2-1 1540 1455 56.88% 24.58% 18.54% +3.9 10
2007-09-16 @ Viborg L 1-2 1455 1540 18.54% 24.58% 56.88% -3.9 6
2007-09-16 Odense W 2-1 1740 1723 48.66% 26.71% 24.64% +5.1 20
2007-09-16 @ Midtjylland L 1-2 1723 1740 24.64% 26.71% 48.66% -5.1 14
2007-09-17 Esbjerg W 3-1 1709 1660 52.72% 25.80% 21.48% +7.8 12
2007-09-17 @ Nordsjaelland L 1-3 1660 1709 21.48% 25.80% 52.72% -7.8 10
2007-09-22 Nordsjaelland L 1-2 1542 1717 23.74% 26.49% 49.77% -4.9 8
2007-09-22 @ Aarhus GF W 2-1 1717 1542 49.77% 26.49% 23.74% +4.9 15
2007-09-23 Aalborg L 3-4 1451 1702 17.31% 23.93% 58.76% -3.4 6
2007-09-23 @ Lyngby W 4-3 1702 1451 58.76% 23.93% 17.31% +3.4 17
2007-09-23 FC Copenhagen L 0-1 1624 1790 24.74% 26.73% 48.53% -5.4 6
2007-09-23 @ Brondby W 1-0 1790 1624 48.53% 26.73% 24.74% +5.4 21
2007-09-23 Midtjylland W 2-0 1652 1745 33.54% 27.81% 38.65% +14.5 13
2007-09-23 @ Esbjerg L 0-2 1745 1652 38.65% 27.81% 33.54% -14.5 20
2007-09-23 Randers W 1-0 1603 1664 38.05% 27.83% 34.12% +7.0 18
2007-09-23 @ Horsens L 0-1 1664 1603 34.12% 27.83% 38.05% -7.0 14
2007-09-24 Viborg W 4-0 1718 1544 66.51% 20.67% 12.82% +10.0 17
2007-09-24 @ Odense L 0-4 1544 1718 12.82% 20.67% 66.51% -10.1 10
2007-09-29 Lyngby W 2-0 1795 1448 81.12% 12.65% 6.22% +2.2 24
2007-09-29 @ FC Copenhagen L 0-2 1448 1795 6.22% 12.65% 81.12% -2.2 6
2007-09-30 Aarhus GF W 2-0 1731 1537 68.40% 19.75% 11.85% +4.8 23
2007-09-30 @ Midtjylland L 0-2 1537 1731 11.85% 19.75% 68.40% -4.8 8
2007-09-30 Esbjerg D 1-1 1728 1667 54.18% 25.40% 20.41% -1.4 18
2007-09-30 @ Odense D 1-1 1667 1728 20.41% 25.40% 54.18% +1.4 14
2007-09-30 Randers D 1-1 1619 1657 41.28% 27.67% 31.05% -0.4 7
2007-09-30 @ Brondby D 1-1 1657 1619 31.05% 27.67% 41.28% +0.4 15
2007-09-30 Viborg W 3-2 1705 1534 66.26% 20.79% 12.95% +2.5 20
2007-09-30 @ Aalborg L 2-3 1534 1705 12.95% 20.79% 66.26% -2.5 10
2007-10-01 Horsens D 0-0 1722 1610 60.04% 23.46% 16.51% -2.1 16
2007-10-01 @ Nordsjaelland D 0-0 1610 1722 16.51% 23.46% 60.04% +2.1 19
2007-10-06 Brondby L 1-2 1531 1618 34.33% 27.84% 37.83% -6.6 10
2007-10-06 @ Viborg W 2-1 1618 1531 37.83% 27.84% 34.33% +6.6 10
2007-10-07 Lyngby W 2-1 1612 1446 65.67% 21.07% 13.27% +2.8 22
2007-10-07 @ Horsens L 1-2 1446 1612 13.27% 21.07% 65.67% -2.8 6
2007-10-07 Midtjylland W 3-0 1657 1735 35.56% 27.86% 36.58% +20.2 18
2007-10-07 @ Randers L 0-3 1735 1657 36.58% 27.86% 35.56% -20.2 23
2007-10-07 Nordsjaelland D 1-1 1797 1720 56.06% 24.84% 19.10% -1.5 25
2007-10-07 @ FC Copenhagen D 1-1 1720 1797 19.10% 24.84% 56.06% +1.5 17
2007-10-07 Odense D 0-0 1668 1727 38.40% 27.82% 33.77% -0.2 15
2007-10-07 @ Esbjerg D 0-0 1727 1668 33.77% 27.82% 38.40% +0.2 19
2007-10-08 Aalborg L 3-5 1532 1708 23.68% 26.47% 49.86% -7.2 8
2007-10-08 @ Aarhus GF W 5-3 1708 1532 49.86% 26.47% 23.68% +7.2 23
2007-10-20 FC Copenhagen D 0-0 1715 1796 35.26% 27.85% 36.88% +0.1 24
2007-10-20 @ Aalborg D 0-0 1796 1715 36.88% 27.85% 35.26% -0.1 26
2007-10-21 Aarhus GF W 2-1 1625 1525 58.66% 23.97% 17.38% +3.7 13
2007-10-21 @ Brondby L 1-2 1525 1625 17.38% 23.97% 58.66% -3.7 8
2007-10-21 Horsens W 2-0 1727 1614 60.03% 23.46% 16.51% +7.0 22
2007-10-21 @ Odense L 0-2 1614 1727 16.51% 23.46% 60.03% -7.0 22
2007-10-21 Randers W 2-1 1722 1677 52.11% 25.95% 21.94% +4.6 20
2007-10-21 @ Nordsjaelland L 1-2 1677 1722 21.94% 25.95% 52.11% -4.6 18
2007-10-21 Viborg W 2-0 1443 1524 35.15% 27.85% 37.00% +14.0 9
2007-10-21 @ Lyngby L 0-2 1524 1443 37.00% 27.85% 35.15% -14.0 10
2007-10-22 Esbjerg D 2-2 1715 1668 52.48% 25.86% 21.66% -1.0 24
2007-10-22 @ Midtjylland D 2-2 1668 1715 21.66% 25.86% 52.48% +0.9 16
2007-10-27 Aarhus GF L 1-3 1457 1521 37.62% 27.84% 34.54% -12.3 9
2007-10-27 @ Lyngby W 3-1 1521 1457 34.54% 27.84% 37.62% +12.3 11
2007-10-28 Brondby D 0-0 1734 1628 59.26% 23.75% 17.00% -2.0 23
2007-10-28 @ Odense D 0-0 1628 1734 17.00% 23.75% 59.26% +2.0 14
2007-10-28 Horsens L 1-2 1726 1608 60.72% 23.19% 16.09% -10.4 20
2007-10-28 @ Nordsjaelland W 2-1 1608 1726 16.09% 23.19% 60.72% +10.4 25
2007-10-28 Randers L 0-1 1796 1673 61.19% 23.00% 15.80% -11.1 26
2007-10-28 @ FC Copenhagen W 1-0 1673 1796 15.80% 23.00% 61.19% +11.1 21
2007-10-28 Viborg W 2-1 1714 1510 69.37% 19.26% 11.37% +2.3 27
2007-10-28 @ Midtjylland L 1-2 1510 1714 11.37% 19.26% 69.37% -2.3 10
2007-10-29 Esbjerg W 2-0 1715 1669 52.37% 25.89% 21.74% +9.1 27
2007-10-29 @ Aalborg L 0-2 1669 1715 21.74% 25.89% 52.37% -9.1 16
2007-11-03 FC Copenhagen L 0-2 1533 1785 17.27% 23.91% 58.82% -7.3 11
2007-11-03 @ Aarhus GF W 2-0 1785 1533 58.82% 23.91% 17.27% +7.3 29
2007-11-04 Aalborg W 1-0 1684 1724 40.91% 27.70% 31.39% +6.6 24
2007-11-04 @ Randers L 0-1 1724 1684 31.39% 27.70% 40.91% -6.6 27
2007-11-04 Lyngby W 3-0 1630 1445 67.62% 20.13% 12.24% +7.3 17
2007-11-04 @ Brondby L 0-3 1445 1630 12.24% 20.13% 67.62% -7.3 9
2007-11-04 Midtjylland D 1-1 1618 1717 32.74% 27.78% 39.48% +0.3 26
2007-11-04 @ Horsens D 1-1 1717 1618 39.48% 27.78% 32.74% -0.3 28
2007-11-04 Nordsjaelland L 1-2 1660 1716 38.75% 27.81% 33.44% -7.3 16
2007-11-04 @ Esbjerg W 2-1 1716 1660 33.44% 27.81% 38.75% +7.2 23
2007-11-05 Odense L 0-2 1508 1732 19.35% 24.96% 55.69% -8.2 10
2007-11-05 @ Viborg W 2-0 1732 1508 55.69% 24.96% 19.35% +8.2 26
2007-11-10 Horsens W 3-0 1638 1618 49.02% 26.64% 24.34% +14.7 20
2007-11-10 @ Brondby L 0-3 1618 1638 24.34% 26.64% 49.02% -14.7 26
2007-11-11 Aalborg L 1-2 1723 1718 47.14% 26.98% 25.89% -8.4 23
2007-11-11 @ Nordsjaelland W 2-1 1718 1723 25.89% 26.98% 47.14% +8.4 30
2007-11-11 Esbjerg L 1-3 1438 1652 20.08% 25.27% 54.65% -7.4 9
2007-11-11 @ Lyngby W 3-1 1652 1438 54.65% 25.27% 20.08% +7.4 19
2007-11-11 FC Copenhagen D 2-2 1716 1792 35.96% 27.86% 36.18% +0.0 29
2007-11-11 @ Midtjylland D 2-2 1792 1716 36.18% 27.86% 35.96% -0.0 30
2007-11-11 Randers D 0-0 1740 1690 52.78% 25.79% 21.44% -1.5 27
2007-11-11 @ Odense D 0-0 1690 1740 21.44% 25.79% 52.78% +1.5 25
2007-11-12 Aarhus GF L 0-2 1500 1526 42.92% 27.53% 29.55% -15.7 10
2007-11-12 @ Viborg W 2-0 1526 1500 29.55% 27.53% 42.92% +15.7 14
2007-11-24 Odense W 2-1 1792 1739 53.22% 25.67% 21.11% +4.4 33
2007-11-24 @ FC Copenhagen L 1-2 1739 1792 21.11% 25.67% 53.22% -4.5 27
2007-11-25 Brondby W 3-2 1660 1652 47.42% 26.93% 25.65% +5.0 22
2007-11-25 @ Esbjerg L 2-3 1652 1660 25.65% 26.93% 47.42% -5.0 20
2007-11-25 Lyngby D 2-2 1692 1430 74.53% 16.49% 8.97% -2.1 26
2007-11-25 @ Randers D 2-2 1430 1692 8.97% 16.49% 74.53% +2.1 10
2007-11-25 Midtjylland W 1-0 1726 1716 47.76% 26.87% 25.37% +5.5 33
2007-11-25 @ Aalborg L 0-1 1716 1726 25.37% 26.87% 47.76% -5.5 29
2007-11-25 Viborg D 1-1 1603 1484 60.78% 23.17% 16.05% -1.9 27
2007-11-25 @ Horsens D 1-1 1484 1603 16.05% 23.17% 60.78% +1.9 11
2007-11-29 Nordsjaelland D 3-3 1542 1715 23.99% 26.55% 49.46% +0.7 15
2007-11-29 @ Aarhus GF D 3-3 1715 1542 49.46% 26.55% 23.99% -0.6 24
2007-12-01 Viborg L 0-2 1690 1486 69.33% 19.28% 11.39% -22.9 26
2007-12-01 @ Randers W 2-0 1486 1690 11.39% 19.28% 69.33% +22.9 14
2007-12-02 Brondby D 1-1 1796 1647 63.93% 21.85% 14.22% -2.1 34
2007-12-02 @ FC Copenhagen D 1-1 1647 1796 14.22% 21.85% 63.93% +2.1 21
2007-12-02 Lyngby W 5-3 1732 1432 77.63% 14.73% 7.64% +2.1 36
2007-12-02 @ Aalborg L 3-5 1432 1732 7.64% 14.73% 77.63% -2.1 10
2007-12-02 Midtjylland W 2-0 1542 1711 24.45% 26.66% 48.89% +17.4 18
2007-12-02 @ Aarhus GF L 0-2 1711 1542 48.89% 26.66% 24.45% -17.4 29
2007-12-02 Odense D 3-3 1714 1734 43.75% 27.44% 28.81% -0.4 25
2007-12-02 @ Nordsjaelland D 3-3 1734 1714 28.81% 27.44% 43.75% +0.4 28
2007-12-03 Horsens L 1-3 1665 1602 54.41% 25.34% 20.25% -16.4 22
2007-12-03 @ Esbjerg W 3-1 1602 1665 20.25% 25.34% 54.41% +16.4 30
2008-03-15 Aalborg D 1-1 1734 1734 46.52% 27.07% 26.40% -0.8 29
2008-03-15 @ Odense D 1-1 1734 1734 26.40% 27.07% 46.52% +0.8 37
2008-03-16 Aarhus GF D 0-0 1618 1560 53.80% 25.51% 20.69% -1.5 31
2008-03-16 @ Horsens D 0-0 1560 1618 20.69% 25.51% 53.80% +1.5 19
2008-03-16 Esbjerg L 0-4 1509 1648 27.64% 27.28% 45.08% -21.3 14
2008-03-16 @ Viborg W 4-0 1648 1509 45.08% 27.28% 27.64% +21.3 25
2008-03-16 FC Copenhagen L 1-4 1430 1794 10.89% 18.76% 70.35% -5.4 10
2008-03-16 @ Lyngby W 4-1 1794 1430 70.35% 18.76% 10.89% +5.4 37
2008-03-16 Randers W 3-1 1650 1667 44.16% 27.40% 28.44% +10.0 24
2008-03-16 @ Brondby L 1-3 1667 1650 28.44% 27.40% 44.16% -10.0 26
2008-03-17 Nordsjaelland W 1-0 1693 1714 43.74% 27.44% 28.81% +6.2 32
2008-03-17 @ Midtjylland L 0-1 1714 1693 28.81% 27.44% 43.74% -6.2 25
2008-03-19 Aalborg L 1-2 1616 1735 30.19% 27.59% 42.21% -6.0 31
2008-03-19 @ Horsens W 2-1 1735 1616 42.21% 27.59% 30.19% +6.0 40
2008-03-19 FC Copenhagen W 2-1 1670 1800 28.77% 27.44% 43.79% +8.0 28
2008-03-19 @ Esbjerg L 1-2 1800 1670 43.79% 27.44% 28.77% -8.0 37
2008-03-20 Midtjylland W 2-1 1660 1700 41.02% 27.69% 31.30% +6.2 27
2008-03-20 @ Brondby L 1-2 1700 1660 31.30% 27.69% 41.02% -6.2 32
2008-03-20 Nordsjaelland L 2-3 1488 1707 19.68% 25.10% 55.22% -4.0 14
2008-03-20 @ Viborg W 3-2 1707 1488 55.22% 25.10% 19.68% +4.0 28
2008-03-20 Randers D 0-0 1561 1657 33.19% 27.80% 39.01% +0.2 20
2008-03-20 @ Aarhus GF D 0-0 1657 1561 39.01% 27.80% 33.19% -0.2 27
2008-03-22 Horsens W 1-0 1792 1610 67.19% 20.35% 12.47% +2.7 40
2008-03-22 @ FC Copenhagen L 0-1 1610 1792 12.47% 20.35% 67.19% -2.7 31
2008-03-23 Aarhus GF W 2-0 1734 1562 66.28% 20.78% 12.94% +5.3 32
2008-03-23 @ Odense L 0-2 1562 1734 12.94% 20.78% 66.28% -5.4 20
2008-03-23 Brondby W 1-0 1711 1666 52.27% 25.91% 21.81% +4.9 31
2008-03-23 @ Nordsjaelland L 0-1 1666 1711 21.81% 25.91% 52.27% -4.9 27
2008-03-23 Esbjerg W 1-0 1656 1678 43.61% 27.46% 28.93% +6.2 30
2008-03-23 @ Randers L 0-1 1678 1656 28.93% 27.46% 43.61% -6.2 28
2008-03-23 Lyngby W 2-1 1693 1425 75.12% 16.16% 8.71% +1.7 35
2008-03-23 @ Midtjylland L 1-2 1425 1693 8.71% 16.16% 75.12% -1.7 10
2008-03-23 Viborg W 2-0 1741 1484 74.15% 16.71% 9.14% +3.5 43
2008-03-23 @ Aalborg L 0-2 1484 1741 9.14% 16.71% 74.15% -3.6 14
2008-03-29 Midtjylland L 0-1 1739 1695 52.07% 25.96% 21.96% -9.7 32
2008-03-29 @ Odense W 1-0 1695 1739 21.96% 25.96% 52.07% +9.7 38
2008-03-30 Aalborg L 0-1 1661 1744 34.85% 27.85% 37.30% -7.1 27
2008-03-30 @ Brondby W 1-0 1744 1661 37.30% 27.85% 34.85% +7.1 46
2008-03-30 Esbjerg L 0-1 1556 1671 30.58% 27.63% 41.79% -6.5 20
2008-03-30 @ Aarhus GF W 1-0 1671 1556 41.79% 27.63% 30.58% +6.5 31
2008-03-30 Nordsjaelland D 0-0 1423 1716 14.53% 22.10% 63.36% +2.3 11
2008-03-30 @ Lyngby D 0-0 1716 1423 63.36% 22.10% 14.53% -2.3 32
2008-03-30 Randers W 1-0 1608 1663 38.90% 27.80% 33.29% +6.9 34
2008-03-30 @ Horsens L 0-1 1663 1608 33.29% 27.80% 38.90% -6.9 30
2008-03-31 FC Copenhagen L 2-3 1480 1794 13.34% 21.14% 65.52% -2.6 14
2008-03-31 @ Viborg W 3-2 1794 1480 65.52% 21.14% 13.34% +2.6 43
2008-04-02 Odense L 0-3 1426 1729 13.91% 21.61% 64.47% -8.4 11
2008-04-02 @ Lyngby W 3-0 1729 1426 64.47% 21.61% 13.91% +8.4 35
2008-04-05 Brondby L 1-3 1615 1654 41.12% 27.68% 31.20% -13.1 34
2008-04-05 @ Horsens W 3-1 1654 1615 31.20% 27.68% 41.12% +13.1 30
2008-04-06 Lyngby W 2-1 1678 1417 74.48% 16.53% 9.00% +1.7 34
2008-04-06 @ Esbjerg L 1-2 1417 1678 9.00% 16.53% 74.48% -1.8 11
2008-04-06 Midtjylland L 0-2 1797 1705 57.78% 24.27% 17.94% -19.9 43
2008-04-06 @ FC Copenhagen W 2-0 1705 1797 17.94% 24.27% 57.78% +19.9 41
2008-04-06 Nordsjaelland W 3-1 1751 1714 51.27% 26.16% 22.57% +8.2 49
2008-04-06 @ Aalborg L 1-3 1714 1751 22.57% 26.16% 51.27% -8.2 32
2008-04-06 Odense L 0-2 1656 1738 35.06% 27.85% 37.09% -13.5 30
2008-04-06 @ Randers W 2-0 1738 1656 37.09% 27.85% 35.06% +13.5 38
2008-04-07 Viborg D 0-0 1550 1478 55.47% 25.02% 19.50% -1.7 21
2008-04-07 @ Aarhus GF D 0-0 1478 1550 19.50% 25.02% 55.47% +1.7 15
2008-04-12 Esbjerg W 2-1 1667 1680 44.75% 27.32% 27.93% +5.7 33
2008-04-12 @ Brondby L 1-2 1680 1667 27.93% 27.32% 44.75% -5.7 34
2008-04-13 Aalborg W 2-0 1725 1760 41.71% 27.64% 30.65% +12.2 44
2008-04-13 @ Midtjylland L 0-2 1760 1725 30.65% 27.64% 41.71% -12.2 49
2008-04-13 Aarhus GF W 3-2 1706 1548 64.82% 21.45% 13.72% +2.7 35
2008-04-13 @ Nordsjaelland L 2-3 1548 1706 13.72% 21.45% 64.82% -2.7 21
2008-04-13 FC Copenhagen D 0-0 1751 1777 42.98% 27.52% 29.50% -0.6 39
2008-04-13 @ Odense D 0-0 1777 1751 29.50% 27.52% 42.98% +0.6 44
2008-04-13 Randers D 0-0 1415 1642 19.09% 24.84% 56.07% +1.7 12
2008-04-13 @ Lyngby D 0-0 1642 1415 56.07% 24.84% 19.09% -1.7 31
2008-04-14 Horsens L 1-3 1479 1601 29.71% 27.55% 42.74% -10.3 15
2008-04-14 @ Viborg W 3-1 1601 1479 42.74% 27.55% 29.71% +10.3 37
2008-04-19 FC Copenhagen W 2-1 1641 1778 27.91% 27.32% 44.77% +8.1 34
2008-04-19 @ Randers L 1-2 1778 1641 44.77% 27.32% 27.91% -8.1 44
2008-04-20 Lyngby W 3-1 1545 1417 61.77% 22.77% 15.46% +5.6 24
2008-04-20 @ Aarhus GF L 1-3 1417 1545 15.46% 22.77% 61.77% -5.6 12
2008-04-20 Midtjylland D 1-1 1469 1737 16.11% 23.21% 60.68% +1.9 16
2008-04-20 @ Viborg D 1-1 1737 1469 60.68% 23.21% 16.11% -1.9 45
2008-04-20 Nordsjaelland W 2-0 1612 1708 33.02% 27.79% 39.19% +14.6 40
2008-04-20 @ Horsens L 0-2 1708 1612 39.19% 27.79% 33.02% -14.6 35
2008-04-20 Odense L 0-2 1673 1751 35.61% 27.86% 36.54% -13.6 33
2008-04-20 @ Brondby W 2-0 1751 1673 36.54% 27.86% 35.61% +13.6 42
2008-04-21 Aalborg D 1-1 1674 1747 36.28% 27.86% 35.87% -0.0 35
2008-04-21 @ Esbjerg D 1-1 1747 1674 35.87% 27.86% 36.28% +0.0 50
2008-04-23 Brondby D 2-2 1411 1659 17.53% 24.05% 58.42% +1.3 13
2008-04-23 @ Lyngby D 2-2 1659 1411 58.42% 24.05% 17.53% -1.3 34
2008-04-23 Horsens D 1-1 1735 1626 59.62% 23.61% 16.77% -1.8 46
2008-04-23 @ Midtjylland D 1-1 1626 1735 16.77% 23.61% 59.62% +1.8 41
2008-04-23 Viborg W 1-0 1764 1471 77.15% 15.01% 7.85% +1.6 45
2008-04-23 @ Odense L 0-1 1471 1764 7.85% 15.01% 77.15% -1.6 16
2008-04-24 Aarhus GF D 1-1 1770 1551 70.73% 18.56% 10.71% -2.6 45
2008-04-24 @ FC Copenhagen D 1-1 1551 1770 10.71% 18.56% 70.73% +2.6 25
2008-04-24 Esbjerg W 3-2 1694 1674 49.03% 26.64% 24.33% +4.8 38
2008-04-24 @ Nordsjaelland L 2-3 1674 1694 24.33% 26.64% 49.03% -4.8 35
2008-04-24 Randers W 3-0 1747 1649 58.52% 24.02% 17.46% +10.8 53
2008-04-24 @ Aalborg L 0-3 1649 1747 17.46% 24.02% 58.52% -10.8 34
2008-04-26 Brondby D 1-1 1733 1658 55.85% 24.91% 19.24% -1.5 47
2008-04-26 @ Midtjylland D 1-1 1658 1733 19.24% 24.91% 55.85% +1.5 35
2008-04-27 Aarhus GF W 4-1 1638 1554 56.87% 24.58% 18.55% +9.6 37
2008-04-27 @ Randers L 1-4 1554 1638 18.55% 24.58% 56.87% -9.6 25
2008-04-27 Esbjerg W 2-1 1767 1669 58.41% 24.06% 17.54% +3.7 48
2008-04-27 @ FC Copenhagen L 1-2 1669 1767 17.54% 24.06% 58.41% -3.7 35
2008-04-27 Lyngby D 1-1 1766 1413 81.55% 12.39% 6.05% -3.2 46
2008-04-27 @ Odense D 1-1 1413 1766 6.05% 12.39% 81.55% +3.2 14
2008-04-27 Viborg W 5-3 1699 1469 71.71% 18.04% 10.25% +3.0 41
2008-04-27 @ Nordsjaelland L 3-5 1469 1699 10.25% 18.04% 71.71% -3.0 16
2008-04-28 Horsens W 1-0 1758 1628 61.95% 22.70% 15.35% +3.4 56
2008-04-28 @ Aalborg L 0-1 1628 1758 15.35% 22.70% 61.95% -3.4 41
2008-05-03 Odense L 0-2 1544 1763 19.77% 25.14% 55.09% -8.4 25
2008-05-03 @ Aarhus GF W 2-0 1763 1544 55.09% 25.14% 19.77% +8.4 49
2008-05-04 Aalborg L 0-1 1466 1762 14.40% 22.00% 63.60% -3.2 16
2008-05-04 @ Viborg W 1-0 1762 1466 63.60% 22.00% 14.40% +3.2 59
2008-05-04 Midtjylland L 1-2 1416 1732 13.26% 21.06% 65.68% -2.8 14
2008-05-04 @ Lyngby W 2-1 1732 1416 65.68% 21.06% 13.26% +2.8 50
2008-05-04 Nordsjaelland W 3-0 1659 1702 40.68% 27.71% 31.61% +18.1 38
2008-05-04 @ Brondby L 0-3 1702 1659 31.61% 27.71% 40.68% -18.1 41
2008-05-04 Randers W 3-2 1665 1648 48.79% 26.68% 24.53% +4.8 38
2008-05-04 @ Esbjerg L 2-3 1648 1665 24.53% 26.68% 48.79% -4.8 37
2008-05-05 FC Copenhagen W 3-2 1625 1771 26.88% 27.16% 45.96% +7.8 44
2008-05-05 @ Horsens L 2-3 1771 1625 45.96% 27.16% 26.88% -7.9 48
2008-05-07 Esbjerg D 1-1 1771 1670 58.74% 23.94% 17.32% -1.8 50
2008-05-07 @ Odense D 1-1 1670 1771 17.32% 23.94% 58.74% +1.8 39
2008-05-07 Randers W 2-1 1734 1643 57.71% 24.30% 17.99% +3.8 53
2008-05-07 @ Midtjylland L 1-2 1643 1734 17.99% 24.30% 57.71% -3.8 37
2008-05-07 Viborg D 1-1 1677 1463 70.34% 18.76% 10.90% -2.6 39
2008-05-07 @ Brondby D 1-1 1463 1677 10.90% 18.76% 70.34% +2.6 17
2008-05-08 Aarhus GF W 3-1 1765 1536 71.71% 18.04% 10.25% +3.5 62
2008-05-08 @ Aalborg L 1-3 1536 1765 10.25% 18.04% 71.71% -3.5 25
2008-05-08 FC Copenhagen L 1-2 1683 1763 35.42% 27.86% 36.72% -6.8 41
2008-05-08 @ Nordsjaelland W 2-1 1763 1683 36.72% 27.86% 35.42% +6.8 51
2008-05-08 Horsens W 4-1 1413 1633 19.70% 25.11% 55.19% +23.5 17
2008-05-08 @ Lyngby L 1-4 1633 1413 55.19% 25.11% 19.70% -23.5 44
2008-05-11 Brondby D 1-1 1532 1675 27.26% 27.22% 45.52% +0.7 26
2008-05-11 @ Aarhus GF D 1-1 1675 1532 45.52% 27.22% 27.26% -0.7 40
2008-05-11 Odense D 2-2 1609 1769 25.31% 26.86% 47.83% +0.7 45
2008-05-11 @ Horsens D 2-2 1769 1609 47.83% 26.86% 25.31% -0.7 51
2008-05-12 Aalborg W 4-0 1770 1768 46.62% 27.06% 26.32% +20.5 54
2008-05-12 @ FC Copenhagen L 0-4 1768 1770 26.32% 27.06% 46.62% -20.5 62
2008-05-12 Lyngby W 3-2 1466 1437 50.21% 26.39% 23.39% +4.6 20
2008-05-12 @ Viborg L 2-3 1437 1466 23.39% 26.39% 50.21% -4.6 17
2008-05-12 Midtjylland W 3-2 1672 1738 37.33% 27.85% 34.82% +6.4 42
2008-05-12 @ Esbjerg L 2-3 1738 1672 34.82% 27.85% 37.33% -6.4 53
2008-05-12 Nordsjaelland W 2-1 1639 1677 41.33% 27.67% 31.00% +6.1 40
2008-05-12 @ Randers L 1-2 1677 1639 31.00% 27.67% 41.33% -6.2 41
2008-05-15 Aarhus GF L 0-1 1678 1533 63.59% 22.00% 14.41% -11.4 42
2008-05-15 @ Esbjerg W 1-0 1533 1678 14.41% 22.00% 63.59% +11.4 29
2008-05-15 Brondby W 2-0 1748 1674 55.66% 24.97% 19.37% +8.2 65
2008-05-15 @ Aalborg L 0-2 1674 1748 19.37% 24.97% 55.66% -8.2 40
2008-05-15 Horsens D 0-0 1645 1610 51.00% 26.22% 22.79% -1.3 41
2008-05-15 @ Randers D 0-0 1610 1645 22.79% 26.22% 51.00% +1.3 46
2008-05-15 Lyngby D 0-0 1670 1432 72.54% 17.59% 9.87% -3.0 42
2008-05-15 @ Nordsjaelland D 0-0 1432 1670 9.87% 17.59% 72.54% +3.0 18
2008-05-15 Odense W 3-1 1732 1769 41.46% 27.66% 30.89% +10.6 56
2008-05-15 @ Midtjylland L 1-3 1769 1732 30.89% 27.66% 41.46% -10.6 51
2008-05-15 Viborg W 3-0 1790 1470 79.17% 13.82% 7.01% +3.7 57
2008-05-15 @ FC Copenhagen L 0-3 1470 1790 7.01% 13.82% 79.17% -3.7 20
2008-05-18 Aalborg L 0-2 1435 1756 12.97% 20.81% 66.22% -5.4 18
2008-05-18 @ Lyngby W 2-0 1756 1435 66.22% 20.81% 12.97% +5.4 68
2008-05-18 Aarhus GF W 3-2 1742 1544 68.83% 19.54% 11.64% +2.2 59
2008-05-18 @ Midtjylland L 2-3 1544 1742 11.64% 19.54% 68.83% -2.2 29
2008-05-18 Esbjerg W 3-1 1611 1667 38.76% 27.81% 33.43% +11.3 49
2008-05-18 @ Horsens L 1-3 1667 1611 33.43% 27.81% 38.76% -11.3 42
2008-05-18 FC Copenhagen W 2-1 1666 1794 28.99% 27.46% 43.54% +7.9 43
2008-05-18 @ Brondby L 1-2 1794 1666 43.54% 27.46% 28.99% -7.9 57
2008-05-18 Nordsjaelland D 1-1 1758 1667 57.59% 24.34% 18.07% -1.7 52
2008-05-18 @ Odense D 1-1 1667 1758 18.07% 24.34% 57.59% +1.7 43
2008-05-18 Randers L 0-1 1467 1644 23.55% 26.44% 50.02% -5.2 20
2008-05-18 @ Viborg W 1-0 1644 1467 50.02% 26.44% 23.55% +5.2 44
2008-05-24 Brondby W 2-1 1649 1674 43.12% 27.51% 29.37% +5.9 47
2008-05-24 @ Randers L 1-2 1674 1649 29.37% 27.51% 43.12% -5.9 43
2008-05-24 Horsens L 1-2 1542 1622 35.28% 27.85% 36.86% -6.8 29
2008-05-24 @ Aarhus GF W 2-1 1622 1542 36.86% 27.85% 35.28% +6.8 52
2008-05-24 Lyngby W 3-1 1786 1430 81.77% 12.26% 5.97% +1.8 60
2008-05-24 @ FC Copenhagen L 1-3 1430 1786 5.97% 12.26% 81.77% -1.8 18
2008-05-24 Midtjylland L 0-3 1669 1745 35.97% 27.86% 36.17% -20.0 43
2008-05-24 @ Nordsjaelland W 3-0 1745 1669 36.17% 27.86% 35.97% +19.9 62
2008-05-24 Odense W 2-0 1761 1756 47.13% 26.98% 25.89% +10.6 71
2008-05-24 @ Aalborg L 0-2 1756 1761 25.89% 26.98% 47.13% -10.6 52
2008-05-24 Viborg W 2-1 1656 1461 68.47% 19.72% 11.82% +2.4 45
2008-05-24 @ Esbjerg L 1-2 1461 1656 11.82% 19.72% 68.47% -2.4 20

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 2007-07-29 8.87% Lyngby 1470 1 @ Nordsjaelland 1735 0
2 2007-12-01 11.39% Viborg 1486 2 @ Randers 1690 0
3 2008-05-15 14.41% Aarhus GF 1533 1 @ Esbjerg 1678 0
4 2007-09-16 14.47% Aarhus GF 1530 1 @ Randers 1675 0
5 2007-08-18 15.64% Aarhus GF 1533 1 @ Brondby 1658 0
6 2007-10-28 15.80% Randers 1673 1 @ FC Copenhagen 1796 0
7 2007-10-28 16.09% Horsens 1608 2 @ Nordsjaelland 1726 1
8 2008-04-06 17.94% Midtjylland 1705 2 @ FC Copenhagen 1797 0
9 2008-05-08 19.70% @ Lyngby 1413 4 Horsens 1633 1
10 2007-12-03 20.25% Horsens 1602 3 @ Esbjerg 1665 1
11 2008-03-29 21.96% Midtjylland 1695 1 @ Odense 1739 0
12 2007-12-02 24.45% @ Aarhus GF 1542 2 Midtjylland 1711 0
13 2007-08-05 25.54% Randers 1670 3 @ Esbjerg 1678 1
14 2007-11-11 25.89% Aalborg 1718 2 @ Nordsjaelland 1723 1
15 2007-08-26 26.47% Aalborg 1675 2 @ Esbjerg 1675 1
16 2008-05-05 26.88% @ Horsens 1625 3 FC Copenhagen 1771 2
17 2008-04-19 27.91% @ Randers 1641 2 FC Copenhagen 1778 1
18 2007-07-18 28.60% Horsens 1579 2 @ Aarhus GF 1561 1
19 2008-03-19 28.77% @ Esbjerg 1670 2 FC Copenhagen 1800 1
20 2008-05-18 28.99% @ Brondby 1666 2 FC Copenhagen 1794 1
21 2007-11-12 29.55% Aarhus GF 1526 2 @ Viborg 1500 0
22 2007-07-23 29.90% @ Horsens 1587 2 Midtjylland 1708 1
23 2007-08-19 30.55% Odense 1716 3 @ Aalborg 1682 2
24 2008-04-05 31.20% Brondby 1654 3 @ Horsens 1615 1
25 2008-04-20 33.02% @ Horsens 1612 2 Nordsjaelland 1708 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 2007-08-01 32.23 @ Randers 5 1637 36.01% Aalborg 0 1713 36.13% 27.86%
2 2007-07-22 31.91 Esbjerg 5 1648 36.52% @ Viborg 0 1570 35.63% 27.86%
3 2008-05-08 23.50 @ Lyngby 4 1413 19.70% Horsens 1 1633 55.19% 25.11%
4 2007-07-29 23.08 @ Midtjylland 5 1700 49.86% Brondby 0 1674 23.67% 26.47%
5 2007-12-01 22.91 Viborg 2 1486 11.39% @ Randers 0 1690 69.33% 19.28%
6 2008-03-16 21.32 Esbjerg 4 1648 45.08% @ Viborg 0 1509 27.64% 27.28%
7 2008-05-12 20.48 @ FC Copenhagen 4 1770 46.62% Aalborg 0 1768 26.32% 27.06%
8 2007-10-07 20.20 @ Randers 3 1657 35.56% Midtjylland 0 1735 36.58% 27.86%
9 2008-05-24 19.95 Midtjylland 3 1745 36.17% @ Nordsjaelland 0 1669 35.97% 27.86%
10 2008-04-06 19.92 Midtjylland 2 1705 17.94% @ FC Copenhagen 0 1797 57.78% 24.27%
11 2007-08-20 18.82 Esbjerg 6 1656 50.39% @ Lyngby 1 1476 23.26% 26.36%
12 2008-05-04 18.13 @ Brondby 3 1659 40.68% Nordsjaelland 0 1702 31.61% 27.71%
13 2007-12-02 17.38 @ Aarhus GF 2 1542 24.45% Midtjylland 0 1711 48.89% 26.66%
14 2007-08-06 17.05 @ Odense 3 1699 43.31% Nordsjaelland 0 1722 29.20% 27.49%
15 2007-07-22 16.46 Randers 3 1621 44.74% @ Lyngby 0 1484 27.93% 27.32%
16 2007-12-03 16.43 Horsens 3 1602 20.25% @ Esbjerg 1 1665 54.41% 25.34%
17 2007-11-12 15.67 Aarhus GF 2 1526 29.55% @ Viborg 0 1500 42.92% 27.53%
18 2007-08-05 14.72 Randers 3 1670 25.54% @ Esbjerg 1 1678 47.55% 26.91%
19 2007-11-10 14.68 @ Brondby 3 1638 49.02% Horsens 0 1618 24.34% 26.64%
20 2008-04-20 14.63 @ Horsens 2 1612 33.02% Nordsjaelland 0 1708 39.19% 27.79%
21 2007-09-23 14.48 @ Esbjerg 2 1652 33.54% Midtjylland 0 1745 38.65% 27.81%
22 2007-10-21 14.02 @ Lyngby 2 1443 35.15% Viborg 0 1524 37.00% 27.85%
23 2008-04-20 13.64 Odense 2 1751 36.54% @ Brondby 0 1673 35.61% 27.86%
24 2008-04-06 13.48 Odense 2 1738 37.09% @ Randers 0 1656 35.06% 27.85%
25 2008-04-05 13.13 Brondby 3 1654 31.20% @ Horsens 1 1615 41.12% 27.68%