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2010-11 Superliga Season

198 games

Final

Champion

FC Copenhagen

81 points · 9th Title

Last Title: 2009-10

Relegated

Esbjerg

33 pts

Randers · 34 pts

Biggest Overachiever

FC Copenhagen

15.29 points above expected

81 points · 65.71 expected points

Biggest Disappointment

Randers

9.59 points below expected

34 points · 43.59 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 25 6 2 81 77 29 +48 65.71 +15.29
2 Odense 33 16 7 10 55 55 41 +14 53.46 +1.54
3 Brondby 33 13 12 8 51 52 39 +13 50.00 +1.00
4 Midtjylland 33 13 10 10 49 50 42 +8 49.53 -0.53
5 Silkeborg 33 10 13 10 43 43 49 -6 40.18 +2.82
6 Nordsjaelland 33 10 9 14 39 38 50 -12 41.12 -2.12
7 Sonderjyske 33 11 6 16 39 32 46 -14 38.25 +0.75
8 Lyngby 33 10 8 15 38 42 52 -10 33.67 +4.33
9 Horsens 33 9 10 14 37 29 40 -11 37.13 -0.13
10 Aalborg 33 8 11 14 35 38 48 -10 41.60 -6.60
11 Randers Relegated 33 6 16 11 34 41 48 -7 43.59 -9.59
12 Esbjerg Relegated 33 7 12 14 33 36 49 -13 40.50 -7.50

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 1886 81 65.71 +15.29 98.7% 37 54 61 66 70 77 92
Odense 1774 55 53.46 +1.54 61.0% 28 42 49 53 58 65 81
Brondby 1756 51 50.00 +1.00 58.6% 24 38 45 50 55 62 75
Midtjylland 1726 49 49.53 -0.53 49.8% 19 38 45 50 54 61 76
Randers 1667 34 43.59 -9.59 10.3% 17 32 39 44 48 55 71
Silkeborg 1666 43 40.18 +2.82 68.8% 17 29 35 40 45 52 68
Aalborg 1662 35 41.60 -6.60 19.7% 17 30 37 41 46 53 70
Nordsjaelland 1652 39 41.12 -2.12 41.9% 17 30 36 41 46 53 69
Esbjerg 1649 33 40.50 -7.50 15.7% 12 29 36 40 45 52 70
Horsens 1634 37 37.13 -0.13 52.9% 13 26 32 37 42 49 68
Sonderjyske 1627 39 38.25 +0.75 57.9% 13 27 34 38 43 50 69
Lyngby 1615 38 33.67 +4.33 77.1% 10 23 29 34 38 45 59

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 BRO ESB FC HOR LYN MID NOR ODE RAN SIL SON
Aalborg —
1-0-2
3.61
0-2-1
4.44
0-1-2
2.09
0-2-1
4.45
3-0-0
4.57
1-1-1
3.21
1-2-0
3.81
0-0-3
3.10
2-1-0
3.54
0-2-1
4.34
0-0-3
4.47
Brondby
2-0-1
4.46
 —
2-1-0
4.98
0-1-2
2.58
0-1-2
5.39
1-2-0
5.38
1-1-1
4.29
1-2-0
4.50
1-2-0
3.84
2-0-1
4.30
0-2-1
5.07
3-0-0
5.22
Esbjerg
1-2-0
3.62
0-1-2
3.12
 —
0-1-2
2.27
2-1-0
4.13
1-1-1
4.76
0-1-2
3.44
2-1-0
4.10
0-0-3
2.91
0-2-1
3.88
1-2-0
4.21
0-0-3
4.09
FC Copenhagen
2-1-0
6.19
2-1-0
5.58
2-1-0
5.98
 —
2-1-0
6.29
3-0-0
6.67
2-0-1
5.41
3-0-0
6.19
2-0-1
4.97
3-0-0
6.05
2-1-0
6.25
2-1-0
6.10
Horsens
1-2-0
3.61
2-1-0
2.75
0-1-2
3.91
0-1-2
2.01
 —
2-0-1
4.10
0-0-3
3.30
0-1-2
3.63
2-1-0
2.79
0-2-1
3.62
1-0-2
3.67
1-1-1
3.71
Lyngby
0-0-3
3.49
0-2-1
2.75
1-1-1
3.31
0-0-3
1.72
1-0-2
3.95
 —
2-1-0
2.59
2-0-1
3.55
1-0-2
2.38
0-2-1
3.01
1-2-0
3.26
2-0-1
3.68
Midtjylland
1-1-1
4.86
1-1-1
3.75
2-1-0
4.62
1-0-2
2.74
3-0-0
4.77
0-1-2
5.57
 —
1-2-0
5.00
0-1-2
3.56
0-3-0
4.77
2-0-1
4.95
2-0-1
4.96
Nordsjaelland
0-2-1
4.24
0-2-1
3.58
0-1-2
3.94
0-0-3
2.09
2-1-0
4.43
1-0-2
4.50
0-2-1
3.09
 —
2-0-1
2.93
2-0-1
3.65
2-0-1
4.11
1-1-1
4.40
Odense
3-0-0
4.99
0-2-1
4.21
3-0-0
5.21
1-0-2
3.13
0-1-2
5.34
2-0-1
5.82
2-1-0
4.49
1-0-2
5.19
 —
2-1-0
5.06
0-2-1
5.10
2-0-1
5.02
Randers
0-1-2
4.51
1-0-2
3.75
1-2-0
4.17
0-0-3
2.19
1-2-0
4.43
1-2-0
5.09
0-3-0
3.31
1-0-2
4.40
0-1-2
3.03
 —
1-2-0
4.06
0-3-0
4.67
Silkeborg
1-2-0
3.72
1-2-0
3.03
0-2-1
3.84
0-1-2
2.04
2-0-1
4.38
0-2-1
4.81
1-0-2
3.13
1-0-2
3.94
1-2-0
3.00
0-2-1
3.99
 —
3-0-0
4.31
Sonderjyske
3-0-0
3.60
0-0-3
2.88
3-0-0
3.95
0-1-2
2.17
1-1-1
4.35
1-0-2
4.37
1-0-2
3.13
1-1-1
3.66
1-0-2
3.07
0-3-0
3.40
0-0-3
3.75
 —

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 +9.9
Allowed 0.75 -18.0
Differential 0.95 +7.2

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%6.31%7.07%3.28%1.26%0.51%26.01%
16.31%13.13%9.85%3.03%0.76%—33.08%
27.07%9.85%6.57%2.02%0.25%0.25%26.01%
33.28%3.03%2.02%2.53%0.25%—11.11%
41.26%0.76%0.25%0.25%0.51%—3.03%
5+0.51%—0.25%———0.76%
Total26.01%33.08%26.01%11.11%3.03%0.76%100%

Summary Statistics

Scored Allowed Difference
Mean 1.35 1.35 +0.00
SD 1.12 1.12 1.64
CV 0.84 0.84 —
Max 6 6 +6
Min 0 0 -6

Games Played: 198

↓ Scored | Allowed →012345+Total
018.18%9.09%12.12%——3.03%42.42%
1—9.09%12.12%———21.21%
26.06%9.09%3.03%3.03%——21.21%
3——3.03%3.03%3.03%—9.09%
4—3.03%3.03%———6.06%
5+———————
Total24.24%30.30%33.33%6.06%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.45 -0.30
SD 1.25 1.30 1.61
CV 1.09 0.89 —
Max 4 6 +3
Min 0 0 -6

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%6.06%6.06%———15.15%
13.03%18.18%6.06%3.03%——30.30%
212.12%12.12%12.12%3.03%——39.39%
33.03%6.06%—3.03%——12.12%
43.03%—————3.03%
5+———————
Total24.24%42.42%24.24%9.09%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.58 1.18 +0.39
SD 1.00 0.92 1.43
CV 0.64 0.78 —
Max 4 3 +4
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%9.09%—12.12%——27.27%
1—21.21%12.12%6.06%——39.39%
26.06%12.12%9.09%3.03%——30.30%
33.03%—————3.03%
4———————
5+———————
Total15.15%42.42%21.21%21.21%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.09 1.48 -0.39
SD 0.84 1.00 1.46
CV 0.77 0.68 —
Max 3 3 +3
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
0——3.03%3.03%——6.06%
16.06%12.12%————18.18%
212.12%12.12%3.03%———27.27%
315.15%15.15%6.06%3.03%——39.39%
43.03%—————3.03%
5+3.03%—3.03%———6.06%
Total39.39%39.39%15.15%6.06%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.33 0.88 +1.45
SD 1.19 0.89 1.60
CV 0.51 1.02 —
Max 5 3 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
018.18%9.09%9.09%6.06%3.03%—45.45%
16.06%9.09%15.15%———30.30%
26.06%9.09%————15.15%
33.03%—3.03%3.03%——9.09%
4———————
5+———————
Total33.33%27.27%27.27%9.09%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.88 1.21 -0.33
SD 0.99 1.11 1.51
CV 1.13 0.92 —
Max 3 4 +3
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%3.03%9.09%3.03%——18.18%
118.18%9.09%21.21%3.03%——51.52%
26.06%3.03%3.03%3.03%3.03%—18.18%
3——3.03%6.06%——9.09%
4————3.03%—3.03%
5+———————
Total27.27%15.15%36.36%15.15%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.58 -0.30
SD 0.98 1.23 1.26
CV 0.77 0.78 —
Max 4 4 +2
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%9.09%3.03%3.03%——18.18%
19.09%9.09%9.09%———27.27%
215.15%9.09%15.15%3.03%—3.03%45.45%
33.03%—————3.03%
43.03%———3.03%—6.06%
5+———————
Total33.33%27.27%27.27%6.06%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.52 1.27 +0.24
SD 1.03 1.26 1.56
CV 0.68 0.99 —
Max 4 5 +4
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%6.06%12.12%—6.06%—33.33%
13.03%12.12%9.09%6.06%3.03%—33.33%
26.06%12.12%3.03%———21.21%
33.03%—3.03%3.03%——9.09%
4—3.03%————3.03%
5+———————
Total21.21%33.33%27.27%9.09%9.09%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.52 -0.36
SD 1.09 1.20 1.75
CV 0.95 0.79 —
Max 4 4 +3
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%6.06%6.06%——3.03%18.18%
19.09%12.12%9.09%3.03%——33.33%
26.06%12.12%3.03%3.03%——24.24%
36.06%6.06%3.03%3.03%——18.18%
4—3.03%————3.03%
5+3.03%—————3.03%
Total27.27%39.39%21.21%9.09%—3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.24 +0.42
SD 1.34 1.15 1.97
CV 0.80 0.92 —
Max 6 5 +6
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
015.15%6.06%3.03%3.03%3.03%—30.30%
13.03%18.18%9.09%3.03%3.03%—36.36%
2—3.03%12.12%3.03%——18.18%
3—3.03%3.03%3.03%——9.09%
46.06%—————6.06%
5+———————
Total24.24%30.30%27.27%12.12%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.24 1.45 -0.21
SD 1.17 1.18 1.63
CV 0.94 0.81 —
Max 4 4 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%3.03%6.06%3.03%3.03%—21.21%
19.09%18.18%9.09%—3.03%—39.39%
23.03%9.09%15.15%3.03%——30.30%
3—6.06%————6.06%
4———3.03%——3.03%
5+———————
Total18.18%36.36%30.30%9.09%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.48 -0.18
SD 0.98 1.09 1.42
CV 0.75 0.74 —
Max 4 4 +2
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%9.09%15.15%6.06%——36.36%
19.09%9.09%6.06%12.12%——36.36%
26.06%15.15%————21.21%
33.03%——3.03%——6.06%
4———————
5+———————
Total24.24%33.33%21.21%21.21%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.39 -0.42
SD 0.92 1.09 1.56
CV 0.95 0.78 —
Max 3 3 +3
Min 0 0 -3

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 FC Copenhagen 81 65.71 +15.29
2 Lyngby 38 33.67 +4.33
3 Silkeborg 43 40.18 +2.82
4 Odense 55 53.46 +1.54
5 Brondby 51 50.00 +1.00

Biggest Disappointments

# Team Actual Sim vsSim
1 Randers 34 43.59 -9.59
2 Esbjerg 33 40.50 -7.50
3 Aalborg 35 41.60 -6.60
4 Nordsjaelland 39 41.12 -2.12
5 Midtjylland 49 49.53 -0.53

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 FC Copenhagen 7 Sep 19 – Nov 7 1 in 56
2 Silkeborg 3 Sep 19 – Oct 3 1 in 49
3 Odense 4 Nov 1 – Nov 22 1 in 33
4 Sonderjyske 3 May 15 – May 25 1 in 28
5 Brondby 3 Jul 25 – Aug 8 1 in 24

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Brondby 3 Sep 19 – Oct 3 1 in 51
2 Esbjerg 4 Jul 17 – Aug 7 1 in 33
3 Aalborg 3 Sep 25 – Oct 16 1 in 25
4 Midtjylland 2 Sep 25 – Oct 2 1 in 13
5 Sonderjyske 4 Apr 20 – May 9 1 in 13

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Silkeborg 8 Dec 5 – Apr 20 1 in 45
2 FC Copenhagen 19 Jul 18 – Dec 4 1 in 43
3 Aalborg 7 Apr 10 – May 15 1 in 24
4 Brondby 7 Jul 25 – Sep 12 1 in 10
5 Esbjerg 5 Sep 19 – Oct 23 1 in 9

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Esbjerg 12 Sep 26 – Mar 13 1 in 116
2 Randers 10 Aug 22 – Nov 8 1 in 45
3 Midtjylland 6 Mar 12 – Apr 18 1 in 40
4 Silkeborg 8 Jul 18 – Sep 11 1 in 18
5 Aalborg 8 Oct 30 – Mar 12 1 in 15

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
FC Copenhagen81.28%12.86%3.71%1.39%0.45%0.17%0.12%——0.01%0.01%—
Odense8.73%34.23%22.25%12.74%8.76%5.87%3.27%1.74%1.32%0.66%0.33%0.10%
Brondby4.38%19.15%21.35%16.96%12.46%8.99%6.13%4.39%2.97%1.92%0.91%0.39%
Midtjylland3.59%17.88%20.48%17.73%12.93%9.35%6.49%4.40%3.26%2.02%1.29%0.58%
Silkeborg0.18%1.88%4.09%6.27%9.21%10.88%12.13%12.88%11.44%12.42%10.66%7.96%
Nordsjaelland0.35%2.25%4.77%8.15%9.86%10.93%11.96%12.35%11.66%11.06%9.70%6.96%
Sonderjyske0.14%0.93%2.57%4.20%6.42%7.49%10.54%11.34%13.43%14.18%14.26%14.50%
Lyngby0.02%0.23%0.70%1.42%2.45%3.78%5.08%7.43%10.54%14.32%20.14%33.89%
Horsens0.05%0.90%1.98%3.55%5.05%7.15%8.75%11.06%12.35%14.46%17.77%16.93%
Aalborg0.28%2.84%5.77%8.06%10.66%11.79%11.98%11.82%11.96%9.83%8.58%6.43%
Randers0.78%4.71%7.99%12.33%12.63%13.09%12.19%10.61%8.60%7.30%5.94%3.83%
Esbjerg0.22%2.14%4.34%7.20%9.12%10.51%11.36%11.98%12.47%11.82%10.41%8.43%

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
+11.11%
Slight Edge
40.40%30.30%29.29%
Elo Value
Home Edge: 38.76 Elo pts.
167 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
+0.26 goals
Neutral
-2+0.23+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
1.5
One-Team Race
124610
Champion Preseason Odds
81%
FC Copenhagen, 1st of 12
LongshotFavorite
Title Margin
Expected
0.79/gm
Runaway
00.281.5/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 5.62 * Some Luck: 5.62 to 8.43 * Lucky: 8.43 to 11.24 * Wild Swing: 11.24 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 1.59 * Close: 1.59 to 2.38 * Off: 2.38 to 3.17 * Way Off: 3.17 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 1.11 * A Surprise: 1.11 to 1.78 * Several Surprises: 1.78 to 2.45 * Many Surprises: 2.45 and up.
Luck Spread
Expected
6.20 points
Some Luck
07.0318
Average Finish Error
Expected
2.33
Close
01.984
Biggest Overachiever
Expected 95.83%
98.75%
FC Copenhagen
50100
Biggest Underachiever
Expected 4.17%
10.27%
Randers
050
Season Outliers
Expected
1 of 12
Minimal Outliers
01.26
Unexpected Relegations
Expected
2 of 2
Several Surprises
01.12

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
0.14
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.56
Moderate Separation
01.003
Interquartile Edge
62%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
83%
Strong Edge
50%83%100%
Close Games
Expected
67%
Very Frequent
0%64%100%
Blowouts
Expected
12%
Occasional
0%13%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
0.63
Hard to Predict
00.632
Matchup Imbalance
0.28
Lopsided
00.10.180.280.5
Strangeness
Expected
0.77
Very Predictable
01.002
Repeatability
0.60
Some Carryover
00.30.60.851
Upset Rate
Expected
22%
Chalky
0%25%50%
Clear Favorite Upset Rate
Expected
22%
As Expected
0%21%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
0.87
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.11
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.089
Well Within Noise
00.1250.3

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 99.99% 0.01%
Odense 99.57% 0.43%
Brondby 98.70% 1.30%
Midtjylland 98.13% 1.87%
Randers 90.23% 9.77%
Aalborg 84.99% 15.01%
Nordsjaelland 83.34% 16.66%
Silkeborg 81.38% 18.62%
Esbjerg 81.16% 18.84%
Sonderjyske 71.24% 28.76%
Horsens 65.30% 34.70%
Lyngby 45.97% 54.03%

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
2010-07-17 Esbjerg W 3-0 1752 1684 48.74% 29.63% 21.64% +9.2 3
2010-07-17 @ Odense L 0-3 1684 1752 21.64% 29.63% 48.74% -9.2 0
2010-07-18 Brondby W 3-2 1692 1719 35.65% 32.11% 32.23% +4.1 3
2010-07-18 @ Randers L 2-3 1719 1692 32.23% 32.11% 35.65% -4.1 0
2010-07-18 FC Copenhagen L 1-3 1657 1804 21.45% 29.53% 49.02% -5.4 0
2010-07-18 @ Sonderjyske W 3-1 1804 1657 49.02% 29.53% 21.45% +5.4 3
2010-07-18 Midtjylland L 0-2 1648 1699 32.25% 32.11% 35.63% -8.7 0
2010-07-18 @ Horsens W 2-0 1699 1648 35.63% 32.11% 32.25% +8.7 3
2010-07-18 Silkeborg W 4-1 1685 1669 41.71% 31.45% 26.83% +9.3 3
2010-07-18 @ Nordsjaelland L 1-4 1669 1685 26.83% 31.45% 41.71% -9.3 0
2010-07-19 Aalborg L 2-4 1612 1694 28.25% 31.72% 40.03% -6.1 0
2010-07-19 @ Lyngby W 4-2 1694 1612 40.03% 31.72% 28.25% +6.1 3
2010-07-24 FC Copenhagen L 1-2 1675 1810 22.58% 30.08% 47.34% -3.3 0
2010-07-24 @ Esbjerg W 2-1 1810 1675 47.34% 30.08% 22.58% +3.3 6
2010-07-24 Silkeborg W 2-0 1708 1660 46.10% 30.44% 23.46% +6.8 6
2010-07-24 @ Midtjylland L 0-2 1660 1708 23.46% 30.44% 46.10% -6.8 0
2010-07-25 Brondby L 0-2 1700 1715 37.35% 32.01% 30.64% -9.6 3
2010-07-25 @ Aalborg W 2-0 1715 1700 30.64% 32.01% 37.35% +9.6 3
2010-07-25 Horsens W 1-0 1606 1640 34.70% 32.14% 33.16% +4.7 3
2010-07-25 @ Lyngby L 0-1 1640 1606 33.16% 32.14% 34.70% -4.7 0
2010-07-25 Sonderjyske L 1-2 1694 1652 45.36% 30.64% 24.00% -5.5 3
2010-07-25 @ Nordsjaelland W 2-1 1652 1694 24.00% 30.64% 45.36% +5.5 3
2010-07-26 Randers D 1-1 1761 1696 48.35% 29.76% 21.90% -0.7 4
2010-07-26 @ Odense D 1-1 1696 1761 21.90% 29.76% 48.35% +0.7 4
2010-07-31 Aalborg D 1-1 1813 1690 55.82% 26.73% 17.46% -1.1 7
2010-07-31 @ FC Copenhagen D 1-1 1690 1813 17.46% 26.73% 55.82% +1.1 4
2010-07-31 Esbjerg W 3-0 1657 1672 37.39% 32.01% 30.60% +12.1 6
2010-07-31 @ Sonderjyske L 0-3 1672 1657 30.60% 32.01% 37.39% -12.1 0
2010-08-01 Lyngby D 2-2 1653 1611 45.28% 30.67% 24.06% -0.4 1
2010-08-01 @ Silkeborg D 2-2 1611 1653 24.06% 30.67% 45.28% +0.4 4
2010-08-01 Midtjylland W 1-0 1725 1714 40.88% 31.59% 27.53% +4.1 6
2010-08-01 @ Brondby L 0-1 1714 1725 27.53% 31.59% 40.88% -4.1 6
2010-08-01 Nordsjaelland L 0-2 1697 1689 40.64% 31.63% 27.73% -10.2 4
2010-08-01 @ Randers W 2-0 1689 1697 27.73% 31.63% 40.64% +10.2 6
2010-08-02 Odense W 1-0 1635 1760 23.46% 30.44% 46.09% +5.9 3
2010-08-02 @ Horsens L 0-1 1760 1635 46.09% 30.44% 23.46% -5.9 4
2010-08-07 Midtjylland L 0-3 1660 1710 32.26% 32.11% 35.63% -12.6 0
2010-08-07 @ Esbjerg W 3-0 1710 1660 35.63% 32.11% 32.26% +12.6 9
2010-08-07 Silkeborg D 0-0 1692 1653 44.88% 30.77% 24.35% -0.6 5
2010-08-07 @ Aalborg D 0-0 1653 1692 24.35% 30.77% 44.88% +0.6 2
2010-08-08 Brondby L 1-3 1699 1729 35.23% 32.13% 32.64% -8.0 6
2010-08-08 @ Nordsjaelland W 3-1 1729 1699 32.64% 32.13% 35.23% +8.0 9
2010-08-08 FC Copenhagen L 2-3 1755 1812 31.31% 32.06% 36.63% -4.0 4
2010-08-08 @ Odense W 3-2 1812 1755 36.63% 32.06% 31.31% +4.0 10
2010-08-08 Randers D 0-0 1641 1687 32.89% 32.13% 34.97% +0.1 4
2010-08-08 @ Horsens D 0-0 1687 1641 34.97% 32.13% 32.89% -0.1 5
2010-08-08 Sonderjyske W 1-0 1611 1669 31.25% 32.06% 36.69% +5.0 7
2010-08-08 @ Lyngby L 0-1 1669 1611 36.69% 32.06% 31.25% -5.0 6
2010-08-14 Nordsjaelland W 2-0 1816 1691 56.12% 26.58% 17.30% +5.0 13
2010-08-14 @ FC Copenhagen L 0-2 1691 1816 17.30% 26.58% 56.12% -5.0 6
2010-08-14 Odense L 1-3 1664 1751 27.70% 31.63% 40.67% -6.7 6
2010-08-14 @ Sonderjyske W 3-1 1751 1664 40.67% 31.63% 27.70% +6.7 7
2010-08-15 Esbjerg D 1-1 1737 1647 51.59% 28.58% 19.84% -0.9 10
2010-08-15 @ Brondby D 1-1 1647 1737 19.84% 28.58% 51.59% +0.9 1
2010-08-15 Horsens L 1-2 1653 1641 41.16% 31.55% 27.29% -5.1 2
2010-08-15 @ Silkeborg W 2-1 1641 1653 27.29% 31.55% 41.16% +5.1 7
2010-08-15 Lyngby W 2-1 1687 1616 49.10% 29.50% 21.40% +3.1 8
2010-08-15 @ Randers L 1-2 1616 1687 21.40% 29.50% 49.10% -3.1 7
2010-08-16 Aalborg W 2-1 1723 1691 43.92% 31.00% 25.08% +3.6 12
2010-08-16 @ Midtjylland L 1-2 1691 1723 25.08% 31.00% 43.92% -3.6 5
2010-08-21 Esbjerg L 0-2 1687 1648 44.92% 30.76% 24.32% -11.0 5
2010-08-21 @ Aalborg W 2-0 1648 1687 24.32% 30.76% 44.92% +11.0 4
2010-08-21 Lyngby W 3-0 1821 1613 65.96% 21.23% 12.81% +5.1 16
2010-08-21 @ FC Copenhagen L 0-3 1613 1821 12.81% 21.23% 65.96% -5.1 7
2010-08-22 Horsens W 2-0 1658 1646 41.08% 31.56% 27.36% +7.7 9
2010-08-22 @ Sonderjyske L 0-2 1646 1658 27.36% 31.56% 41.08% -7.7 7
2010-08-22 Odense D 2-2 1736 1757 36.40% 32.08% 31.52% -0.1 11
2010-08-22 @ Brondby D 2-2 1757 1736 31.52% 32.08% 36.40% +0.1 8
2010-08-22 Randers D 1-1 1648 1690 33.45% 32.14% 34.40% +0.0 3
2010-08-22 @ Silkeborg D 1-1 1690 1648 34.40% 32.14% 33.45% -0.0 9
2010-08-23 Nordsjaelland W 4-0 1727 1686 45.09% 30.71% 24.20% +13.2 15
2010-08-23 @ Midtjylland L 0-4 1686 1727 24.20% 30.71% 45.09% -13.2 6
2010-08-28 Silkeborg W 2-1 1659 1648 41.01% 31.57% 27.42% +3.8 7
2010-08-28 @ Esbjerg L 1-2 1648 1659 27.42% 31.57% 41.01% -3.8 3
2010-08-29 Aalborg D 0-0 1673 1676 38.95% 31.86% 29.19% -0.3 7
2010-08-29 @ Nordsjaelland D 0-0 1676 1673 29.19% 31.86% 38.95% +0.3 6
2010-08-29 Brondby D 3-3 1608 1736 23.27% 30.37% 46.36% +0.4 8
2010-08-29 @ Lyngby D 3-3 1736 1608 46.36% 30.37% 23.27% -0.4 12
2010-08-29 FC Copenhagen L 1-2 1638 1826 18.30% 27.45% 54.26% -2.7 7
2010-08-29 @ Horsens W 2-1 1826 1638 54.26% 27.45% 18.30% +2.7 19
2010-08-29 Sonderjyske D 0-0 1690 1665 42.91% 31.22% 25.87% -0.5 10
2010-08-29 @ Randers D 0-0 1665 1690 25.87% 31.22% 42.91% +0.5 10
2010-08-30 Midtjylland W 2-1 1757 1740 41.93% 31.41% 26.66% +3.8 11
2010-08-30 @ Odense L 1-2 1740 1757 26.66% 31.41% 41.93% -3.8 15
2010-09-11 Nordsjaelland L 0-1 1761 1672 51.48% 28.62% 19.90% -6.4 11
2010-09-11 @ Odense W 1-0 1672 1761 19.90% 28.62% 51.48% +6.4 10
2010-09-11 Silkeborg D 2-2 1829 1644 63.31% 22.77% 13.92% -1.0 20
2010-09-11 @ FC Copenhagen D 2-2 1644 1829 13.92% 22.77% 63.31% +1.0 4
2010-09-12 Horsens L 2-3 1677 1636 45.14% 30.70% 24.16% -5.2 6
2010-09-12 @ Aalborg W 3-2 1636 1677 24.16% 30.70% 45.14% +5.2 10
2010-09-12 Lyngby L 2-3 1663 1609 46.94% 30.20% 22.86% -5.4 7
2010-09-12 @ Esbjerg W 3-2 1609 1663 22.86% 30.20% 46.94% +5.4 11
2010-09-12 Sonderjyske W 3-1 1735 1666 48.97% 29.55% 21.49% +5.4 15
2010-09-12 @ Brondby L 1-3 1666 1735 21.49% 29.55% 48.97% -5.4 10
2010-09-13 Randers D 1-1 1736 1690 45.89% 30.50% 23.61% -0.6 16
2010-09-13 @ Midtjylland D 1-1 1690 1736 23.61% 30.50% 45.89% +0.6 11
2010-09-18 Aalborg L 2-3 1690 1671 42.07% 31.39% 26.54% -5.0 11
2010-09-18 @ Randers W 3-2 1671 1690 26.54% 31.39% 42.07% +5.0 9
2010-09-19 Brondby W 2-0 1828 1741 51.29% 28.69% 20.01% +5.9 23
2010-09-19 @ FC Copenhagen L 0-2 1741 1828 20.01% 28.69% 51.29% -5.9 15
2010-09-19 Esbjerg L 0-3 1641 1657 37.12% 32.03% 30.85% -13.9 10
2010-09-19 @ Horsens W 3-0 1657 1641 30.85% 32.03% 37.12% +13.9 10
2010-09-19 Midtjylland L 0-2 1660 1735 29.06% 31.84% 39.10% -8.0 10
2010-09-19 @ Sonderjyske W 2-0 1735 1660 39.10% 31.84% 29.06% +8.0 19
2010-09-19 Odense W 3-1 1645 1755 25.09% 31.00% 43.91% +9.3 7
2010-09-19 @ Silkeborg L 1-3 1755 1645 43.91% 31.00% 25.09% -9.3 11
2010-09-20 Nordsjaelland W 2-0 1614 1679 30.34% 31.99% 37.67% +9.6 14
2010-09-20 @ Lyngby L 0-2 1679 1614 37.67% 31.99% 30.34% -9.7 10
2010-09-25 FC Copenhagen L 0-3 1743 1834 27.21% 31.53% 41.26% -11.1 19
2010-09-25 @ Midtjylland W 3-0 1834 1743 41.26% 31.53% 27.21% +11.1 26
2010-09-25 Sonderjyske L 0-2 1676 1652 42.82% 31.24% 25.94% -10.6 9
2010-09-25 @ Aalborg W 2-0 1652 1676 25.94% 31.24% 42.82% +10.6 13
2010-09-26 Horsens W 3-0 1669 1627 45.31% 30.66% 24.04% +10.0 13
2010-09-26 @ Nordsjaelland L 0-3 1627 1669 24.04% 30.66% 45.31% -10.1 10
2010-09-26 Randers D 2-2 1671 1685 37.50% 32.00% 30.50% -0.1 11
2010-09-26 @ Esbjerg D 2-2 1685 1671 30.50% 32.00% 37.50% +0.1 12
2010-09-26 Silkeborg L 0-2 1735 1655 50.40% 29.03% 20.57% -11.9 15
2010-09-26 @ Brondby W 2-0 1655 1735 20.57% 29.03% 50.40% +11.9 10
2010-09-27 Lyngby W 3-1 1745 1624 55.69% 26.79% 17.52% +4.4 14
2010-09-27 @ Odense L 1-3 1624 1745 17.52% 26.79% 55.69% -4.4 14
2010-10-02 Lyngby L 1-2 1732 1619 54.61% 27.29% 18.10% -6.3 19
2010-10-02 @ Midtjylland W 2-1 1619 1732 18.10% 27.29% 54.61% +6.3 17
2010-10-03 Horsens L 0-1 1723 1617 53.69% 27.70% 18.61% -6.6 15
2010-10-03 @ Brondby W 1-0 1617 1723 18.61% 27.70% 53.69% +6.6 13
2010-10-03 Nordsjaelland D 1-1 1671 1679 38.31% 31.93% 29.76% -0.2 12
2010-10-03 @ Esbjerg D 1-1 1679 1671 29.76% 31.93% 38.31% +0.2 14
2010-10-03 Randers W 1-0 1845 1685 60.33% 24.43% 15.24% +2.3 29
2010-10-03 @ FC Copenhagen L 0-1 1685 1845 15.24% 24.43% 60.33% -2.3 12
2010-10-03 Sonderjyske W 3-1 1666 1663 39.95% 31.73% 28.32% +6.8 13
2010-10-03 @ Silkeborg L 1-3 1663 1666 28.32% 31.73% 39.95% -6.8 13
2010-10-04 Odense L 1-2 1666 1750 27.97% 31.67% 40.36% -3.9 9
2010-10-04 @ Aalborg W 2-1 1750 1666 40.36% 31.67% 27.97% +3.9 17
2010-10-16 Aalborg W 1-0 1656 1662 38.64% 31.89% 29.47% +4.3 16
2010-10-16 @ Sonderjyske L 0-1 1662 1656 29.47% 31.89% 38.64% -4.3 9
2010-10-17 Brondby D 1-1 1680 1716 34.22% 32.15% 33.64% -0.0 15
2010-10-17 @ Nordsjaelland D 1-1 1716 1680 33.64% 32.15% 34.22% +0.0 16
2010-10-17 Esbjerg D 1-1 1624 1671 32.72% 32.13% 35.15% +0.1 14
2010-10-17 @ Horsens D 1-1 1671 1624 35.15% 32.13% 32.72% -0.1 13
2010-10-17 Odense W 5-0 1847 1754 52.11% 28.37% 19.52% +13.4 32
2010-10-17 @ FC Copenhagen L 0-5 1754 1847 19.52% 28.37% 52.11% -13.4 17
2010-10-17 Silkeborg D 1-1 1626 1673 32.66% 32.13% 35.22% +0.1 18
2010-10-17 @ Lyngby D 1-1 1673 1626 35.22% 32.13% 32.66% -0.1 14
2010-10-18 Midtjylland D 1-1 1683 1726 33.32% 32.14% 34.54% +0.0 13
2010-10-18 @ Randers D 1-1 1726 1683 34.54% 32.14% 33.32% -0.0 20
2010-10-23 Esbjerg D 2-2 1726 1671 47.05% 30.17% 22.79% -0.5 21
2010-10-23 @ Midtjylland D 2-2 1671 1726 22.79% 30.17% 47.05% +0.5 14
2010-10-24 FC Copenhagen L 0-3 1673 1861 18.33% 27.48% 54.19% -7.8 14
2010-10-24 @ Silkeborg W 3-0 1861 1673 54.19% 27.48% 18.33% +7.8 35
2010-10-24 Horsens L 0-2 1626 1624 39.72% 31.76% 28.52% -10.0 18
2010-10-24 @ Lyngby W 2-0 1624 1626 28.52% 31.76% 39.72% +10.0 17
2010-10-24 Nordsjaelland W 2-0 1658 1680 36.35% 32.08% 31.57% +8.5 12
2010-10-24 @ Aalborg L 0-2 1680 1658 31.57% 32.08% 36.35% -8.5 15
2010-10-24 Randers W 2-1 1716 1683 44.10% 30.96% 24.95% +3.6 19
2010-10-24 @ Brondby L 1-2 1683 1716 24.95% 30.96% 44.10% -3.6 13
2010-10-25 Sonderjyske L 1-2 1740 1660 50.34% 29.06% 20.60% -6.0 17
2010-10-25 @ Odense W 2-1 1660 1740 20.60% 29.06% 50.34% +6.0 19
2010-10-30 Aalborg D 0-0 1679 1666 41.33% 31.52% 27.16% -0.4 14
2010-10-30 @ Randers D 0-0 1666 1679 27.16% 31.52% 41.33% +0.4 13
2010-10-30 Lyngby W 3-2 1868 1616 70.84% 18.27% 10.89% +1.3 38
2010-10-30 @ FC Copenhagen L 2-3 1616 1868 10.89% 18.27% 70.84% -1.3 18
2010-10-31 Brondby L 1-2 1671 1720 32.56% 32.12% 35.32% -4.4 14
2010-10-31 @ Esbjerg W 2-1 1720 1671 35.32% 32.12% 32.56% +4.4 22
2010-10-31 Midtjylland L 0-2 1634 1725 27.05% 31.50% 41.45% -7.6 17
2010-10-31 @ Horsens W 2-0 1725 1634 41.45% 31.50% 27.05% +7.6 24
2010-10-31 Silkeborg L 1-2 1666 1665 39.60% 31.78% 28.63% -5.0 19
2010-10-31 @ Sonderjyske W 2-1 1665 1666 28.63% 31.78% 39.60% +5.0 17
2010-11-01 Odense L 1-4 1671 1734 30.54% 32.01% 37.45% -10.2 15
2010-11-01 @ Nordsjaelland W 4-1 1734 1671 37.45% 32.01% 30.54% +10.2 20
2010-11-06 Esbjerg D 1-1 1667 1667 39.39% 31.81% 28.80% -0.3 14
2010-11-06 @ Aalborg D 1-1 1667 1667 28.80% 31.81% 39.39% +0.3 15
2010-11-07 Horsens W 4-0 1870 1626 69.86% 18.87% 11.27% +5.6 41
2010-11-07 @ FC Copenhagen L 0-4 1626 1870 11.27% 18.87% 69.86% -5.6 17
2010-11-07 Midtjylland D 2-2 1724 1733 38.21% 31.94% 29.85% -0.2 23
2010-11-07 @ Brondby D 2-2 1733 1724 29.85% 31.94% 38.21% +0.2 25
2010-11-07 Nordsjaelland W 1-0 1670 1661 40.82% 31.60% 27.58% +4.1 20
2010-11-07 @ Silkeborg L 0-1 1661 1670 27.58% 31.60% 40.82% -4.1 15
2010-11-07 Sonderjyske W 1-0 1614 1661 32.74% 32.13% 35.13% +4.9 21
2010-11-07 @ Lyngby L 0-1 1661 1614 35.13% 32.13% 32.74% -4.9 19
2010-11-08 Randers W 1-0 1745 1679 48.45% 29.72% 21.83% +3.4 23
2010-11-08 @ Odense L 0-1 1679 1745 21.83% 29.72% 48.45% -3.4 14
2010-11-13 Aalborg D 2-2 1733 1666 48.64% 29.66% 21.70% -0.5 26
2010-11-13 @ Midtjylland D 2-2 1666 1733 21.70% 29.66% 48.64% +0.5 15
2010-11-13 Odense L 1-2 1667 1748 28.37% 31.74% 39.90% -4.0 15
2010-11-13 @ Esbjerg W 2-1 1748 1667 39.90% 31.74% 28.37% +4.0 26
2010-11-14 Brondby W 2-1 1621 1724 25.73% 31.18% 43.09% +5.3 20
2010-11-14 @ Horsens L 1-2 1724 1621 43.09% 31.18% 25.73% -5.3 23
2010-11-14 FC Copenhagen D 3-3 1657 1875 16.30% 25.60% 58.10% +0.7 20
2010-11-14 @ Sonderjyske D 3-3 1875 1657 58.10% 25.60% 16.30% -0.7 42
2010-11-14 Lyngby W 2-1 1657 1619 44.68% 30.82% 24.50% +3.5 18
2010-11-14 @ Nordsjaelland L 1-2 1619 1657 24.50% 30.82% 44.68% -3.5 21
2010-11-14 Silkeborg W 4-0 1676 1675 39.62% 31.78% 28.60% +15.1 17
2010-11-14 @ Randers L 0-4 1675 1676 28.60% 31.78% 39.62% -15.1 20
2010-11-20 Randers D 3-3 1616 1691 29.04% 31.84% 39.12% +0.2 22
2010-11-20 @ Lyngby D 3-3 1691 1616 39.12% 31.84% 29.04% -0.2 18
2010-11-21 Brondby L 1-2 1667 1719 32.08% 32.11% 35.82% -4.3 15
2010-11-21 @ Aalborg W 2-1 1719 1667 35.82% 32.11% 32.08% +4.3 26
2010-11-21 Esbjerg D 1-1 1659 1663 38.91% 31.86% 29.23% -0.2 21
2010-11-21 @ Silkeborg D 1-1 1663 1659 29.23% 31.86% 38.91% +0.2 16
2010-11-21 Horsens L 0-3 1657 1626 43.83% 31.02% 25.15% -15.6 20
2010-11-21 @ Sonderjyske W 3-0 1626 1657 25.15% 31.02% 43.83% +15.6 23
2010-11-21 Nordsjaelland W 2-1 1875 1660 66.68% 20.80% 12.52% +1.7 45
2010-11-21 @ FC Copenhagen L 1-2 1660 1875 12.52% 20.80% 66.68% -1.7 18
2010-11-22 Midtjylland W 3-2 1752 1733 42.15% 31.37% 26.48% +3.5 29
2010-11-22 @ Odense L 2-3 1733 1752 26.48% 31.37% 42.15% -3.5 26
2010-11-27 Silkeborg W 2-1 1729 1659 49.03% 29.53% 21.44% +3.1 29
2010-11-27 @ Midtjylland L 1-2 1659 1729 21.44% 29.53% 49.03% -3.1 21
2010-11-28 FC Copenhagen L 0-3 1691 1876 18.45% 27.57% 53.98% -7.8 18
2010-11-28 @ Randers W 3-0 1876 1691 53.98% 27.57% 18.45% +7.8 48
2010-11-28 Lyngby D 0-0 1664 1616 46.08% 30.45% 23.47% -0.7 17
2010-11-28 @ Esbjerg D 0-0 1616 1664 23.47% 30.45% 46.08% +0.7 23
2010-11-28 Odense W 2-0 1723 1755 34.85% 32.14% 33.02% +8.8 29
2010-11-28 @ Brondby L 0-2 1755 1723 33.02% 32.14% 34.85% -8.8 29
2010-11-28 Sonderjyske D 1-1 1658 1642 41.83% 31.43% 26.74% -0.4 19
2010-11-28 @ Nordsjaelland D 1-1 1642 1658 26.74% 31.43% 41.83% +0.4 21
2010-11-29 Aalborg D 0-0 1642 1663 36.47% 32.07% 31.45% -0.1 24
2010-11-29 @ Horsens D 0-0 1663 1642 31.45% 32.07% 36.47% +0.1 16
2010-12-04 Aalborg W 6-0 1747 1663 50.87% 28.85% 20.27% +16.5 32
2010-12-04 @ Odense L 0-6 1663 1747 20.27% 28.85% 50.87% -16.5 16
2010-12-04 Esbjerg W 3-1 1884 1663 67.43% 20.35% 12.22% +2.8 51
2010-12-04 @ FC Copenhagen L 1-3 1663 1884 12.22% 20.35% 67.43% -2.9 17
2010-12-05 Brondby D 2-2 1656 1732 28.96% 31.83% 39.22% +0.2 22
2010-12-05 @ Silkeborg D 2-2 1732 1656 39.22% 31.83% 28.96% -0.2 30
2010-12-05 Horsens W 2-1 1658 1641 41.81% 31.43% 26.76% +3.8 22
2010-12-05 @ Nordsjaelland L 1-2 1641 1658 26.76% 31.43% 41.81% -3.8 24
2010-12-05 Randers D 1-1 1642 1683 33.64% 32.15% 34.21% +0.0 22
2010-12-05 @ Sonderjyske D 1-1 1683 1642 34.21% 32.15% 33.64% -0.0 19
2011-03-05 Silkeborg D 1-1 1646 1656 38.03% 31.95% 30.01% -0.2 17
2011-03-05 @ Aalborg D 1-1 1656 1646 30.01% 31.95% 38.03% +0.2 23
2011-03-06 FC Copenhagen W 2-0 1732 1887 20.83% 29.19% 49.98% +11.8 32
2011-03-06 @ Midtjylland L 0-2 1887 1732 49.98% 29.19% 20.83% -11.9 51
2011-03-06 Lyngby D 1-1 1732 1616 54.88% 27.16% 17.96% -1.0 31
2011-03-06 @ Brondby D 1-1 1616 1732 17.96% 27.16% 54.88% +1.0 24
2011-03-06 Nordsjaelland W 4-0 1683 1662 42.38% 31.33% 26.29% +14.1 22
2011-03-06 @ Randers L 0-4 1662 1683 26.29% 31.33% 42.38% -14.1 22
2011-03-06 Sonderjyske L 0-1 1660 1642 41.99% 31.40% 26.61% -5.5 17
2011-03-06 @ Esbjerg W 1-0 1642 1660 26.61% 31.40% 41.99% +5.5 25
2011-03-07 Odense W 2-1 1638 1763 23.46% 30.44% 46.10% +5.6 27
2011-03-07 @ Horsens L 1-2 1763 1638 46.10% 30.44% 23.46% -5.6 32
2011-03-12 FC Copenhagen L 0-1 1646 1875 15.69% 24.95% 59.36% -2.4 17
2011-03-12 @ Aalborg W 1-0 1875 1646 59.36% 24.95% 15.69% +2.4 54
2011-03-12 Nordsjaelland D 2-2 1744 1648 52.48% 28.21% 19.31% -0.7 33
2011-03-12 @ Midtjylland D 2-2 1648 1744 19.31% 28.21% 52.48% +0.7 23
2011-03-13 Horsens W 2-1 1656 1643 41.33% 31.52% 27.15% +3.8 26
2011-03-13 @ Silkeborg L 1-2 1643 1656 27.15% 31.52% 41.33% -3.8 27
2011-03-13 Randers L 1-3 1655 1697 33.42% 32.14% 34.44% -7.7 17
2011-03-13 @ Esbjerg W 3-1 1697 1655 34.44% 32.14% 33.42% +7.7 25
2011-03-13 Sonderjyske W 2-0 1731 1648 50.76% 28.90% 20.34% +5.9 34
2011-03-13 @ Brondby L 0-2 1648 1731 20.34% 28.90% 50.76% -6.0 25
2011-03-14 Lyngby W 2-0 1758 1617 57.96% 25.67% 16.37% +4.7 35
2011-03-14 @ Odense L 0-2 1617 1758 16.37% 25.67% 57.96% -4.7 24
2011-03-19 Odense D 1-1 1660 1762 25.90% 31.23% 42.87% +0.4 27
2011-03-19 @ Silkeborg D 1-1 1762 1660 42.87% 31.23% 25.90% -0.4 36
2011-03-20 Aalborg L 1-2 1613 1644 35.06% 32.13% 32.81% -4.6 24
2011-03-20 @ Lyngby W 2-1 1644 1613 32.81% 32.13% 35.06% +4.6 20
2011-03-20 Brondby W 3-1 1877 1737 58.06% 25.62% 16.32% +4.1 57
2011-03-20 @ FC Copenhagen L 1-3 1737 1877 16.32% 25.62% 58.06% -4.1 34
2011-03-20 Esbjerg L 1-2 1648 1647 39.68% 31.77% 28.55% -5.0 23
2011-03-20 @ Nordsjaelland W 2-1 1647 1648 28.55% 31.77% 39.68% +5.0 20
2011-03-20 Randers D 0-0 1639 1705 30.30% 31.98% 37.71% +0.2 28
2011-03-20 @ Horsens D 0-0 1705 1639 37.71% 31.98% 30.30% -0.2 26
2011-03-21 Midtjylland W 2-1 1642 1743 25.91% 31.23% 42.86% +5.3 28
2011-03-21 @ Sonderjyske L 1-2 1743 1642 42.86% 31.23% 25.91% -5.3 33
2011-04-02 FC Copenhagen D 1-1 1652 1881 15.66% 24.91% 59.43% +1.2 21
2011-04-02 @ Esbjerg D 1-1 1881 1652 59.43% 24.91% 15.66% -1.2 58
2011-04-02 Odense L 0-1 1648 1762 24.66% 30.87% 44.48% -3.8 20
2011-04-02 @ Aalborg W 1-0 1762 1648 44.48% 30.87% 24.66% +3.8 39
2011-04-03 Nordsjaelland D 0-0 1640 1643 38.91% 31.86% 29.22% -0.3 29
2011-04-03 @ Horsens D 0-0 1643 1640 29.22% 31.86% 38.91% +0.3 24
2011-04-03 Silkeborg D 2-2 1733 1661 49.28% 29.44% 21.28% -0.6 35
2011-04-03 @ Brondby D 2-2 1661 1733 21.28% 29.44% 49.28% +0.6 28
2011-04-03 Sonderjyske D 0-0 1704 1647 47.37% 30.07% 22.56% -0.7 27
2011-04-03 @ Randers D 0-0 1647 1704 22.56% 30.07% 47.37% +0.7 29
2011-04-04 Lyngby D 4-4 1738 1608 56.72% 26.29% 16.99% -0.6 34
2011-04-04 @ Midtjylland D 4-4 1608 1738 16.99% 26.29% 56.72% +0.6 25
2011-04-09 Midtjylland W 1-0 1661 1738 28.90% 31.82% 39.28% +5.3 31
2011-04-09 @ Silkeborg L 0-1 1738 1661 39.28% 31.82% 28.90% -5.3 34
2011-04-09 Randers W 3-1 1880 1704 62.36% 23.31% 14.33% +3.5 61
2011-04-09 @ FC Copenhagen L 1-3 1704 1880 14.33% 23.31% 62.36% -3.5 27
2011-04-10 Brondby D 1-1 1766 1732 44.13% 30.95% 24.92% -0.5 40
2011-04-10 @ Odense D 1-1 1732 1766 24.92% 30.95% 44.13% +0.5 36
2011-04-10 Horsens D 0-0 1644 1639 40.19% 31.70% 28.11% -0.3 21
2011-04-10 @ Aalborg D 0-0 1639 1644 28.11% 31.70% 40.19% +0.3 30
2011-04-10 Nordsjaelland L 0-2 1648 1644 40.02% 31.72% 28.26% -10.1 29
2011-04-10 @ Sonderjyske W 2-0 1644 1648 28.26% 31.72% 40.02% +10.1 27
2011-04-11 Esbjerg L 1-2 1609 1653 33.13% 32.14% 34.73% -4.4 25
2011-04-11 @ Lyngby W 2-1 1653 1609 34.73% 32.14% 33.13% +4.4 24
2011-04-14 Midtjylland W 1-0 1604 1732 23.22% 30.35% 46.43% +6.0 28
2011-04-14 @ Lyngby L 0-1 1732 1604 46.43% 30.35% 23.22% -6.0 34
2011-04-16 Silkeborg D 1-1 1658 1667 38.18% 31.94% 29.88% -0.2 25
2011-04-16 @ Esbjerg D 1-1 1667 1658 29.88% 31.94% 38.18% +0.2 32
2011-04-17 Aalborg L 1-2 1732 1644 51.45% 28.63% 19.92% -6.0 36
2011-04-17 @ Brondby W 2-1 1644 1732 19.92% 28.63% 51.45% +6.1 24
2011-04-17 FC Copenhagen L 1-3 1654 1884 15.64% 24.89% 59.48% -3.9 27
2011-04-17 @ Nordsjaelland W 3-1 1884 1654 59.48% 24.89% 15.64% +3.9 64
2011-04-17 Lyngby D 1-1 1700 1610 51.63% 28.56% 19.81% -0.9 28
2011-04-17 @ Randers D 1-1 1610 1700 19.81% 28.56% 51.63% +0.9 29
2011-04-17 Sonderjyske D 1-1 1640 1638 39.75% 31.76% 28.49% -0.3 31
2011-04-17 @ Horsens D 1-1 1638 1640 28.49% 31.76% 39.75% +0.3 30
2011-04-18 Odense D 1-1 1726 1765 33.94% 32.15% 33.92% +0.0 35
2011-04-18 @ Midtjylland D 1-1 1765 1726 33.92% 32.15% 33.94% +0.0 41
2011-04-20 Randers W 4-1 1650 1699 32.47% 32.12% 35.41% +11.3 27
2011-04-20 @ Aalborg L 1-4 1699 1650 35.41% 32.12% 32.47% -11.3 28
2011-04-20 Sonderjyske W 1-0 1667 1638 43.50% 31.09% 25.41% +3.8 35
2011-04-20 @ Silkeborg L 0-1 1638 1667 25.41% 31.09% 43.50% -3.8 30
2011-04-21 Esbjerg W 3-0 1726 1657 48.92% 29.56% 21.51% +9.1 39
2011-04-21 @ Brondby L 0-3 1657 1726 21.51% 29.56% 48.92% -9.1 25
2011-04-21 FC Copenhagen L 1-2 1611 1888 13.23% 21.83% 64.94% -1.8 29
2011-04-21 @ Lyngby W 2-1 1888 1611 64.94% 21.83% 13.23% +1.8 67
2011-04-21 Horsens W 1-0 1726 1639 51.27% 28.70% 20.03% +3.1 38
2011-04-21 @ Midtjylland L 0-1 1639 1726 20.03% 28.70% 51.27% -3.1 31
2011-04-21 Nordsjaelland L 1-2 1765 1650 54.87% 27.17% 17.96% -6.3 41
2011-04-21 @ Odense W 2-1 1650 1765 17.96% 27.17% 54.87% +6.3 30
2011-04-24 Aalborg D 3-3 1656 1661 38.72% 31.88% 29.40% -0.1 31
2011-04-24 @ Nordsjaelland D 3-3 1661 1656 29.40% 31.88% 38.72% +0.2 28
2011-04-24 Midtjylland L 0-1 1648 1729 28.29% 31.73% 39.98% -4.2 25
2011-04-24 @ Esbjerg W 1-0 1729 1648 39.98% 31.73% 28.29% +4.2 41
2011-04-25 Brondby L 0-4 1688 1736 32.68% 32.13% 35.20% -16.6 28
2011-04-25 @ Randers W 4-0 1736 1688 35.20% 32.13% 32.68% +16.6 42
2011-04-25 Lyngby W 2-0 1636 1609 43.22% 31.16% 25.63% +7.3 34
2011-04-25 @ Horsens L 0-2 1609 1636 25.63% 31.16% 43.22% -7.3 29
2011-04-25 Odense L 0-2 1634 1759 23.54% 30.47% 45.98% -6.8 30
2011-04-25 @ Sonderjyske W 2-0 1759 1634 45.98% 30.47% 23.54% +6.8 44
2011-04-25 Silkeborg W 2-0 1889 1671 67.18% 20.50% 12.32% +3.3 70
2011-04-25 @ FC Copenhagen L 0-2 1671 1889 12.32% 20.50% 67.18% -3.3 35
2011-04-30 Midtjylland W 2-0 1662 1734 29.43% 31.89% 38.68% +9.8 31
2011-04-30 @ Aalborg L 0-2 1734 1662 38.68% 31.89% 29.43% -9.8 41
2011-05-01 Horsens D 0-0 1752 1644 54.04% 27.54% 18.42% -1.1 43
2011-05-01 @ Brondby D 0-0 1644 1752 18.42% 27.54% 54.04% +1.1 35
2011-05-01 Nordsjaelland W 1-0 1602 1656 31.79% 32.09% 36.12% +5.0 32
2011-05-01 @ Lyngby L 0-1 1656 1602 36.12% 32.09% 31.79% -5.0 31
2011-05-01 Randers D 2-2 1667 1671 38.89% 31.87% 29.24% -0.2 36
2011-05-01 @ Silkeborg D 2-2 1671 1667 29.24% 31.87% 38.89% +0.2 29
2011-05-01 Sonderjyske W 3-0 1893 1627 72.17% 17.44% 10.39% +3.8 73
2011-05-01 @ FC Copenhagen L 0-3 1627 1893 10.39% 17.44% 72.17% -3.9 30
2011-05-02 Esbjerg W 1-0 1765 1644 55.66% 26.80% 17.54% +2.7 47
2011-05-02 @ Odense L 0-1 1644 1765 17.54% 26.80% 55.66% -2.7 25
2011-05-06 Lyngby W 2-1 1671 1607 48.30% 29.77% 21.93% +3.2 34
2011-05-06 @ Aalborg L 1-2 1607 1671 21.93% 29.77% 48.30% -3.2 32
2011-05-08 FC Copenhagen D 1-1 1751 1897 21.60% 29.61% 48.79% +0.7 44
2011-05-08 @ Brondby D 1-1 1897 1751 48.79% 29.61% 21.60% -0.7 74
2011-05-08 Horsens W 1-0 1672 1645 43.22% 31.16% 25.63% +3.9 32
2011-05-08 @ Randers L 0-1 1645 1672 25.63% 31.16% 43.22% -3.9 35
2011-05-08 Nordsjaelland W 2-0 1641 1651 38.07% 31.95% 29.98% +8.2 28
2011-05-08 @ Esbjerg L 0-2 1651 1641 29.98% 31.95% 38.07% -8.2 31
2011-05-08 Silkeborg D 0-0 1768 1667 53.08% 27.96% 18.96% -1.0 48
2011-05-08 @ Odense D 0-0 1667 1768 18.96% 27.96% 53.08% +1.0 37
2011-05-09 Sonderjyske W 2-1 1724 1623 53.00% 28.00% 19.01% +2.8 44
2011-05-09 @ Midtjylland L 1-2 1623 1724 19.01% 28.00% 53.00% -2.8 30
2011-05-14 Odense L 1-2 1675 1767 27.05% 31.50% 41.46% -3.8 32
2011-05-14 @ Randers W 2-1 1767 1675 41.46% 31.50% 27.05% +3.8 51
2011-05-15 Aalborg D 0-0 1650 1675 35.89% 32.10% 32.01% -0.1 29
2011-05-15 @ Esbjerg D 0-0 1675 1650 32.01% 32.10% 35.89% +0.1 35
2011-05-15 Brondby W 1-0 1727 1752 35.88% 32.10% 32.02% +4.6 47
2011-05-15 @ Midtjylland L 0-1 1752 1727 32.02% 32.10% 35.88% -4.6 44
2011-05-15 Lyngby W 1-0 1621 1604 41.81% 31.43% 26.75% +4.0 33
2011-05-15 @ Sonderjyske L 0-1 1604 1621 26.75% 31.43% 41.81% -4.0 32
2011-05-15 Silkeborg W 3-2 1643 1668 35.86% 32.10% 32.03% +4.1 34
2011-05-15 @ Nordsjaelland L 2-3 1668 1643 32.03% 32.10% 35.86% -4.1 37
2011-05-16 FC Copenhagen D 1-1 1641 1896 14.28% 23.25% 62.47% +1.4 36
2011-05-16 @ Horsens D 1-1 1896 1641 62.47% 23.25% 14.28% -1.4 75
2011-05-18 Randers W 2-1 1647 1672 35.96% 32.10% 31.94% +4.3 37
2011-05-18 @ Nordsjaelland L 1-2 1672 1647 31.94% 32.10% 35.96% -4.3 32
2011-05-19 Esbjerg W 2-1 1625 1649 35.93% 32.10% 31.97% +4.3 36
2011-05-19 @ Sonderjyske L 1-2 1649 1625 31.97% 32.10% 35.93% -4.3 29
2011-05-19 Horsens D 3-3 1771 1642 56.58% 26.36% 17.06% -0.7 52
2011-05-19 @ Odense D 3-3 1642 1771 17.06% 26.36% 56.58% +0.7 37
2011-05-19 Midtjylland W 5-2 1895 1731 60.79% 24.18% 15.03% +4.5 78
2011-05-19 @ FC Copenhagen L 2-5 1731 1895 15.03% 24.18% 60.79% -4.5 47
2011-05-20 Aalborg W 4-3 1664 1675 37.95% 31.96% 30.09% +3.8 40
2011-05-20 @ Silkeborg L 3-4 1675 1664 30.09% 31.96% 37.95% -3.8 35
2011-05-20 Brondby L 1-2 1600 1747 21.45% 29.53% 49.02% -3.1 32
2011-05-20 @ Lyngby W 2-1 1747 1600 49.02% 29.53% 21.45% +3.1 47
2011-05-25 FC Copenhagen W 3-0 1770 1899 23.14% 30.32% 46.54% +16.3 55
2011-05-25 @ Odense L 0-3 1899 1770 46.54% 30.32% 23.14% -16.3 78
2011-05-25 Horsens W 2-1 1645 1643 39.79% 31.75% 28.46% +4.0 32
2011-05-25 @ Esbjerg L 1-2 1643 1645 28.46% 31.75% 39.79% -4.0 37
2011-05-25 Lyngby L 0-1 1668 1597 49.20% 29.47% 21.33% -6.2 40
2011-05-25 @ Silkeborg W 1-0 1597 1668 21.33% 29.47% 49.20% +6.2 35
2011-05-25 Nordsjaelland D 1-1 1750 1651 52.82% 28.07% 19.11% -0.9 48
2011-05-25 @ Brondby D 1-1 1651 1750 19.11% 28.07% 52.82% +0.9 38
2011-05-25 Randers D 2-2 1727 1667 47.62% 29.99% 22.39% -0.5 48
2011-05-25 @ Midtjylland D 2-2 1667 1727 22.39% 29.99% 47.62% +0.5 33
2011-05-25 Sonderjyske L 1-2 1671 1629 45.29% 30.66% 24.05% -5.5 35
2011-05-25 @ Aalborg W 2-1 1629 1671 24.05% 30.66% 45.29% +5.5 39
2011-05-29 Aalborg W 2-0 1883 1665 67.01% 20.60% 12.39% +3.3 81
2011-05-29 @ FC Copenhagen L 0-2 1665 1883 12.39% 20.60% 67.01% -3.3 35
2011-05-29 Brondby L 0-2 1634 1749 24.51% 30.82% 44.67% -7.0 39
2011-05-29 @ Sonderjyske W 2-0 1749 1634 44.67% 30.82% 24.51% +7.0 51
2011-05-29 Esbjerg D 2-2 1668 1649 42.08% 31.38% 26.53% -0.3 34
2011-05-29 @ Randers D 2-2 1649 1668 26.53% 31.38% 42.08% +0.3 33
2011-05-29 Midtjylland D 0-0 1652 1726 29.19% 31.86% 38.95% +0.3 39
2011-05-29 @ Nordsjaelland D 0-0 1726 1652 38.95% 31.86% 29.19% -0.3 49
2011-05-29 Odense W 2-0 1603 1787 18.59% 27.68% 53.73% +12.5 38
2011-05-29 @ Lyngby L 0-2 1787 1603 53.73% 27.68% 18.59% -12.5 55
2011-05-29 Silkeborg L 1-2 1639 1662 36.21% 32.09% 31.70% -4.7 37
2011-05-29 @ Horsens W 2-1 1662 1639 31.70% 32.09% 36.21% +4.7 43

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 2011-04-21 17.96% Nordsjaelland 1650 2 @ Odense 1765 1
2 2010-10-02 18.10% Lyngby 1619 2 @ Midtjylland 1732 1
3 2011-05-29 18.59% @ Lyngby 1603 2 Odense 1787 0
4 2010-10-03 18.61% Horsens 1617 1 @ Brondby 1723 0
5 2010-09-11 19.90% Nordsjaelland 1672 1 @ Odense 1761 0
6 2011-04-17 19.92% Aalborg 1644 2 @ Brondby 1732 1
7 2010-09-26 20.57% Silkeborg 1655 2 @ Brondby 1735 0
8 2010-10-25 20.60% Sonderjyske 1660 2 @ Odense 1740 1
9 2011-03-06 20.83% @ Midtjylland 1732 2 FC Copenhagen 1887 0
10 2011-05-25 21.33% Lyngby 1597 1 @ Silkeborg 1668 0
11 2010-09-12 22.86% Lyngby 1609 3 @ Esbjerg 1663 2
12 2011-05-25 23.14% @ Odense 1770 3 FC Copenhagen 1899 0
13 2011-04-14 23.22% @ Lyngby 1604 1 Midtjylland 1732 0
14 2010-08-02 23.46% @ Horsens 1635 1 Odense 1760 0
15 2011-03-07 23.46% @ Horsens 1638 2 Odense 1763 1
16 2010-07-25 24.00% Sonderjyske 1652 2 @ Nordsjaelland 1694 1
17 2011-05-25 24.05% Sonderjyske 1629 2 @ Aalborg 1671 1
18 2010-09-12 24.16% Horsens 1636 3 @ Aalborg 1677 2
19 2010-08-21 24.32% Esbjerg 1648 2 @ Aalborg 1687 0
20 2010-09-19 25.09% @ Silkeborg 1645 3 Odense 1755 1
21 2010-11-21 25.15% Horsens 1626 3 @ Sonderjyske 1657 0
22 2010-11-14 25.73% @ Horsens 1621 2 Brondby 1724 1
23 2011-03-21 25.91% @ Sonderjyske 1642 2 Midtjylland 1743 1
24 2010-09-25 25.94% Sonderjyske 1652 2 @ Aalborg 1676 0
25 2010-09-18 26.54% Aalborg 1671 3 @ Randers 1690 2

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 2011-04-25 16.59 Brondby 4 1736 35.20% @ Randers 0 1688 32.68% 32.13%
2 2010-12-04 16.47 @ Odense 6 1747 50.87% Aalborg 0 1663 20.27% 28.85%
3 2011-05-25 16.34 @ Odense 3 1770 23.14% FC Copenhagen 0 1899 46.54% 30.32%
4 2010-11-21 15.62 Horsens 3 1626 25.15% @ Sonderjyske 0 1657 43.83% 31.02%
5 2010-11-14 15.08 @ Randers 4 1676 39.62% Silkeborg 0 1675 28.60% 31.78%
6 2011-03-06 14.13 @ Randers 4 1683 42.38% Nordsjaelland 0 1662 26.29% 31.33%
7 2010-09-19 13.87 Esbjerg 3 1657 30.85% @ Horsens 0 1641 37.12% 32.03%
8 2010-10-17 13.36 @ FC Copenhagen 5 1847 52.11% Odense 0 1754 19.52% 28.37%
9 2010-08-23 13.20 @ Midtjylland 4 1727 45.09% Nordsjaelland 0 1686 24.20% 30.71%
10 2010-08-07 12.59 Midtjylland 3 1710 35.63% @ Esbjerg 0 1660 32.26% 32.11%
11 2011-05-29 12.52 @ Lyngby 2 1603 18.59% Odense 0 1787 53.73% 27.68%
12 2010-07-31 12.13 @ Sonderjyske 3 1657 37.39% Esbjerg 0 1672 30.60% 32.01%
13 2010-09-26 11.94 Silkeborg 2 1655 20.57% @ Brondby 0 1735 50.40% 29.03%
14 2011-03-06 11.86 @ Midtjylland 2 1732 20.83% FC Copenhagen 0 1887 49.98% 29.19%
15 2011-04-20 11.32 @ Aalborg 4 1650 32.47% Randers 1 1699 35.41% 32.12%
16 2010-09-25 11.11 FC Copenhagen 3 1834 41.26% @ Midtjylland 0 1743 27.21% 31.53%
17 2010-08-21 10.96 Esbjerg 2 1648 24.32% @ Aalborg 0 1687 44.92% 30.76%
18 2010-09-25 10.58 Sonderjyske 2 1652 25.94% @ Aalborg 0 1676 42.82% 31.24%
19 2010-11-01 10.22 Odense 4 1734 37.45% @ Nordsjaelland 1 1671 30.54% 32.01%
20 2010-08-01 10.18 Nordsjaelland 2 1689 27.73% @ Randers 0 1697 40.64% 31.63%
21 2011-04-10 10.07 Nordsjaelland 2 1644 28.26% @ Sonderjyske 0 1648 40.02% 31.72%
22 2010-09-26 10.05 @ Nordsjaelland 3 1669 45.31% Horsens 0 1627 24.04% 30.66%
23 2010-10-24 10.02 Horsens 2 1624 28.52% @ Lyngby 0 1626 39.72% 31.76%
24 2011-04-30 9.83 @ Aalborg 2 1662 29.43% Midtjylland 0 1734 38.68% 31.89%
25 2010-09-20 9.65 @ Lyngby 2 1614 30.34% Nordsjaelland 0 1679 37.67% 31.99%