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2016-17 Superliga Season

236 games · 11 promotion-playoff teams

Final

Champion

FC Copenhagen

12th Title

Last Title: 2015-16

Relegated

Esbjerg

via playoff

Viborg · via playoff

Biggest Overachiever

Lyngby

9.08 points above expected

58 points · 48.92 expected points

Biggest Disappointment

Brondby

6.73 points below expected

62 points · 68.73 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 26 19 7 0 64 57 10 +47 53.35 +10.65
2 Brondby 26 15 7 4 52 52 23 +29 46.56 +5.44
3 Lyngby 26 11 6 9 39 25 23 +2 31.49 +7.51
4 Sonderjyske 26 10 9 7 39 30 32 -2 39.55 -0.55
5 Midtjylland 26 10 8 8 38 44 29 +15 46.65 -8.65
6 Nordsjaelland 26 9 8 9 35 41 41 0 29.98 +5.02
7 Randers 26 9 6 11 33 26 32 -6 37.58 -4.58
8 Aalborg 26 9 6 11 33 28 38 -10 35.99 -2.99
9 Silkeborg 26 7 9 10 30 31 46 -15 28.62 +1.38
10 Horsens 26 7 8 11 29 29 45 -16 28.48 +0.52
11 Odense 26 7 7 12 28 26 32 -6 32.44 -4.44
12 Aarhus GF 26 6 7 13 25 33 40 -7 32.76 -7.76
13 Viborg 26 6 7 13 25 29 40 -11 28.65 -3.65
14 Esbjerg 26 5 9 12 24 28 48 -20 25.35 -1.35
# Team GP W D L Pts GF GA GD SimPts vsSim
1 FC Copenhagen Champion 36 25 9 2 84 74 20 +54 84.49 -0.49
2 Brondby 36 18 8 10 62 62 40 +22 68.73 -6.73
3 Lyngby 36 17 7 12 58 42 35 +7 48.92 +9.08
4 Midtjylland 36 15 9 12 54 67 53 +14 51.71 +2.29
5 Nordsjaelland 36 13 10 13 49 59 55 +4 45.01 +3.99
6 Sonderjyske 36 12 10 14 46 44 54 -10 50.43 -4.43
# Team GP W D L Pts GF GA GD SimPts vsSim
1 Randers 32 11 8 13 41 33 35 -2
2 Odense 32 10 9 13 39 33 38 -5
3 Horsens 32 9 9 14 36 34 53 -19
4 Esbjerg Relegated 32 6 12 14 30 32 54 -22
# Team GP W D L Pts GF GA GD SimPts vsSim
1 Silkeborg 32 9 11 12 38 36 51 -15 38.96 -0.96
2 Aalborg 32 10 8 14 38 30 45 -15 42.88 -4.88
3 Aarhus GF 32 10 7 15 37 45 46 -1 34.80 +2.20
4 Viborg Relegated 32 8 9 15 33 35 47 -12 34.53 -1.53

Going into Phase 2, all three groups kept their full Phase 1 points. Each group then played its own round-robin to determine final standings.

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

# Team Actual Sim vsSim
1 Lyngby 58 48.92 +9.08
2 Nordsjaelland 49 45.01 +3.99
3 Midtjylland 54 51.71 +2.29
4 Aarhus GF 37 34.80 +2.20
5 FC Copenhagen 84 84.49 -0.49

Biggest Disappointments

# Team Actual Sim vsSim
1 Brondby 62 68.73 -6.73
2 Aalborg 38 42.88 -4.88
3 Sonderjyske 46 50.43 -4.43
4 Viborg 33 34.53 -1.53
5 Silkeborg 38 38.96 -0.96

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Lyngby 5 May 7 – May 28 1 in 1,100
2 Nordsjaelland 4 Mar 5 – Mar 31 1 in 240
3 Sonderjyske 5 Sep 18 – Oct 14 1 in 120
4 FC Copenhagen 9 Oct 15 – Dec 11 1 in 87
5 Horsens 3 Aug 19 – Sep 10 1 in 51

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Randers 7 Nov 25 – Mar 5 1 in 1,250
2 Brondby 5 May 7 – May 28 1 in 611
3 Odense 6 Aug 22 – Sep 25 1 in 208
4 Midtjylland 3 Dec 1 – Dec 11 1 in 75
5 Viborg 5 Oct 14 – Nov 20 1 in 48

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 FC Copenhagen 33 Jul 16 – May 14 1 in 494
2 Nordsjaelland 7 Feb 26 – Apr 14 1 in 220
3 Esbjerg 6 Nov 27 – Feb 27 1 in 98
4 Lyngby 6 Sep 19 – Oct 22 1 in 28
5 Sonderjyske 8 Aug 21 – Oct 14 1 in 26

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Sonderjyske 8 Jul 17 – Sep 11 1 in 97
2 Randers 10 Nov 25 – Apr 2 1 in 70
3 Brondby 6 Apr 30 – May 28 1 in 53
4 Aalborg 7 Sep 26 – Nov 18 1 in 23
5 Viborg 10 Sep 22 – Nov 29 1 in 17

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
FC Copenhagen 1918 84 -26 7 10.3 -3.3
Brondby 1741 62 -89 0 7.8 -7.8
Lyngby 1749 58 +106 15 5.4 +9.6
Midtjylland 1740 54 -22 9 7.0 +2.0
Nordsjaelland 1702 49 +15 7 5.8 +1.2
Sonderjyske 1668 46 +17 6 4.8 +1.2
Randers 1629 41 +30 7 7.3 -0.3
Odense 1645 39 -7 10 8.4 +1.6
Silkeborg 1581 38 +2 7 6.3 +0.7
Aalborg 1566 38 -42 4 7.0 -3.0
Aarhus GF 1650 37 +28 9 7.4 +1.6
Horsens 1546 36 -15 6 5.7 +0.3
Viborg 1596 33 +12 8 6.4 +1.6
Esbjerg 1570 30 -8 5 5.8 -0.8

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 SIL SON VIB
Aalborg —
3-0-1
5.74
0-0-2
1.97
1-0-1
3.80
0-1-1
1.49
0-1-1
3.46
1-0-1
3.05
0-1-1
1.81
1-1-0
3.25
0-1-1
2.96
2-0-0
2.41
1-1-2
6.30
0-1-1
2.33
1-1-2
5.81
Aarhus GF
1-0-3
5.16
—
0-0-2
1.80
1-1-0
3.40
0-0-2
1.21
1-1-0
2.69
0-1-1
2.76
1-1-0
1.60
1-0-1
2.67
0-0-2
2.57
0-1-1
2.78
1-1-2
6.29
1-0-1
2.32
3-1-0
6.05
Brondby
2-0-0
3.49
2-0-0
3.70
—
1-1-0
3.98
0-2-2
4.28
1-1-0
4.07
2-0-2
7.82
2-1-1
5.95
1-1-2
7.50
1-0-1
4.06
1-1-0
3.58
2-0-0
3.73
2-1-1
7.31
1-0-1
4.17
Esbjerg
1-0-1
1.68
0-1-1
2.06
0-1-1
1.52
—
0-0-2
1.25
1-1-2
5.32
0-2-0
2.02
0-0-2
1.29
0-1-1
2.18
2-1-1
4.15
1-3-0
4.06
0-1-1
2.69
1-1-0
1.82
0-0-2
2.69
FC Copenhagen
1-1-0
4.02
2-0-0
4.34
2-2-0
6.64
2-0-0
4.33
—
2-0-0
4.39
3-0-1
8.53
3-0-1
7.11
1-3-0
8.63
2-0-0
4.13
1-1-0
3.89
2-0-0
4.63
3-1-0
7.97
1-1-0
4.46
Horsens
1-1-0
2.00
0-1-1
2.75
0-1-1
1.44
2-1-1
5.58
0-0-2
1.19
—
2-0-0
2.22
0-0-2
1.56
0-1-1
2.60
1-2-1
4.29
2-0-2
4.24
0-1-1
2.74
0-1-1
1.94
1-0-1
2.63
Lyngby
1-0-1
2.39
1-1-0
2.67
2-0-2
3.17
0-2-0
3.43
1-0-3
2.56
0-0-2
3.23
—
2-2-0
3.82
2-0-2
5.51
1-1-0
2.67
0-0-2
2.44
1-1-0
2.93
4-0-0
4.67
2-0-0
2.99
Midtjylland
1-1-0
3.66
0-1-1
3.89
1-1-2
4.96
2-0-0
4.24
1-0-3
3.84
2-0-0
3.94
0-2-2
7.11
—
3-0-1
6.59
2-0-0
3.85
1-1-0
3.43
1-0-1
4.02
1-1-2
6.95
0-2-0
3.86
Nordsjaelland
0-1-1
2.20
1-0-1
2.77
2-1-1
3.47
1-1-0
3.27
0-3-1
2.47
1-1-0
2.85
2-0-2
5.36
1-0-3
4.32
—
0-0-2
2.72
0-1-1
2.09
1-1-0
3.04
2-1-1
4.96
2-0-0
2.78
Odense
1-1-0
2.48
2-0-0
2.87
1-0-1
1.45
1-1-2
6.76
0-0-2
1.39
1-2-1
6.62
0-1-1
2.76
0-0-2
1.65
2-0-0
2.73
—
2-0-2
5.50
0-2-0
2.97
0-0-2
2.48
0-2-0
3.01
Randers
0-0-2
3.03
1-1-0
2.65
0-1-1
1.89
0-3-1
6.88
0-1-1
1.62
2-0-2
6.66
2-0-0
3.01
0-1-1
2.02
1-1-0
3.37
2-0-2
5.39
—
1-0-1
3.38
0-0-2
2.55
2-0-0
3.48
Silkeborg
2-1-1
4.59
2-1-1
4.60
0-0-2
1.77
1-1-0
2.75
0-0-2
0.98
1-1-0
2.70
0-1-1
2.51
1-0-1
1.49
0-1-1
2.40
0-2-0
2.48
1-0-1
2.10
—
0-2-0
1.83
1-1-2
5.12
Sonderjyske
1-1-0
3.13
1-0-1
3.12
1-1-2
3.64
0-1-1
3.64
0-1-3
3.05
1-1-0
3.52
0-0-4
6.23
2-1-1
3.96
1-1-2
5.94
2-0-0
2.96
2-0-0
2.91
0-2-0
3.64
—
1-1-0
3.70
Viborg
2-1-1
5.09
0-1-3
4.85
1-0-1
1.35
2-0-0
2.76
0-1-1
1.13
1-0-1
2.81
0-0-2
2.45
0-2-0
1.64
0-0-2
2.66
0-2-0
2.43
0-0-2
1.99
2-1-1
5.77
0-1-1
1.78
—

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).

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
07.20%10.17%4.66%3.60%2.75%0.42%28.81%
110.17%12.71%7.20%3.18%0.42%0.85%34.53%
24.66%7.20%5.93%1.69%0.64%0.64%20.76%
33.60%3.18%1.69%0.85%0.21%0.21%9.75%
42.75%0.42%0.64%0.21%——4.03%
5+0.42%0.85%0.64%0.21%——2.12%
Total28.81%34.53%20.76%9.75%4.03%2.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.33 +0.00
SD 1.24 1.24 1.85
CV 0.94 0.94 —
Max 7 7 +7
Min 0 0 -7

Games Played: 236

↓ Scored | Allowed →012345+Total
03.12%15.62%6.25%6.25%6.25%—37.50%
112.50%18.75%6.25%———37.50%
2—15.62%3.12%———18.75%
33.12%————3.12%6.25%
4———————
5+———————
Total18.75%50.00%15.62%6.25%6.25%3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 0.94 1.41 -0.47
SD 0.91 1.24 1.61
CV 0.97 0.88 —
Max 3 5 +3
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
06.25%15.62%3.12%——3.12%28.12%
16.25%12.50%18.75%3.12%——40.62%
23.12%6.25%3.12%3.12%——15.62%
3—3.12%————3.12%
43.12%—3.12%———6.25%
5+—3.12%3.12%———6.25%
Total18.75%40.62%31.25%6.25%—3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.41 1.44 -0.03
SD 1.52 1.32 2.07
CV 1.08 0.92 —
Max 6 7 +4
Min 0 0 -7

Games Played: 32

↓ Scored | Allowed →012345+Total
02.78%11.11%2.78%2.78%——19.44%
111.11%11.11%5.56%———27.78%
28.33%11.11%5.56%2.78%2.78%—30.56%
32.78%2.78%5.56%2.78%——13.89%
45.56%—————5.56%
5+2.78%—————2.78%
Total33.33%36.11%19.44%8.33%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.72 1.11 +0.61
SD 1.45 1.06 1.90
CV 0.84 0.96 —
Max 7 4 +7
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
012.50%6.25%3.12%12.50%6.25%—40.62%
13.12%15.62%6.25%6.25%——31.25%
23.12%—9.38%——3.12%15.62%
36.25%3.12%3.12%———12.50%
4———————
5+———————
Total25.00%25.00%21.88%18.75%6.25%3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.69 -0.69
SD 1.05 1.47 1.91
CV 1.05 0.87 —
Max 3 6 +3
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
05.56%—————5.56%
113.89%16.67%—2.78%——33.33%
216.67%5.56%2.78%2.78%——27.78%
38.33%11.11%————19.44%
411.11%—————11.11%
5+2.78%—————2.78%
Total58.33%33.33%2.78%5.56%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.06 0.56 +1.50
SD 1.22 0.81 1.58
CV 0.59 1.46 —
Max 5 3 +5
Min 0 0 -2

Games Played: 36

↓ Scored | Allowed →012345+Total
06.25%6.25%12.50%——3.12%28.12%
115.62%15.62%9.38%3.12%—6.25%50.00%
2—6.25%3.12%——3.12%12.50%
33.12%——3.12%——6.25%
4——3.12%———3.12%
5+———————
Total25.00%28.12%28.12%6.25%—12.50%100%

Summary Statistics

Scored Allowed Difference
Mean 1.06 1.66 -0.59
SD 0.98 1.56 1.79
CV 0.92 0.94 —
Max 4 5 +3
Min 0 0 -5

Games Played: 32

↓ Scored | Allowed →012345+Total
05.56%11.11%8.33%5.56%——30.56%
122.22%5.56%5.56%———33.33%
28.33%8.33%8.33%2.78%——27.78%
32.78%2.78%————5.56%
42.78%—————2.78%
5+———————
Total41.67%27.78%22.22%8.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 0.97 +0.19
SD 1.03 1.00 1.58
CV 0.88 1.03 —
Max 4 3 +4
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%8.33%—2.78%——16.67%
15.56%8.33%8.33%8.33%——30.56%
25.56%—8.33%2.78%—2.78%19.44%
35.56%8.33%5.56%2.78%——22.22%
42.78%—2.78%———5.56%
5+—2.78%2.78%———5.56%
Total25.00%27.78%27.78%16.67%—2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.86 1.47 +0.39
SD 1.40 1.21 1.84
CV 0.75 0.82 —
Max 5 5 +4
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%8.33%——5.56%—19.44%
12.78%16.67%8.33%8.33%——36.11%
22.78%8.33%5.56%5.56%——22.22%
32.78%—5.56%———8.33%
42.78%5.56%—2.78%——11.11%
5+—2.78%————2.78%
Total16.67%41.67%19.44%16.67%5.56%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.64 1.53 +0.11
SD 1.36 1.13 1.86
CV 0.83 0.74 —
Max 5 4 +4
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
09.38%18.75%3.12%9.38%3.12%—43.75%
19.38%12.50%3.12%———25.00%
2—9.38%6.25%3.12%——18.75%
36.25%3.12%————9.38%
43.12%—————3.12%
5+———————
Total28.12%43.75%12.50%12.50%3.12%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.19 -0.16
SD 1.15 1.09 1.78
CV 1.11 0.92 —
Max 4 4 +4
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
06.25%18.75%9.38%3.12%3.12%—40.62%
19.38%9.38%6.25%———25.00%
29.38%9.38%9.38%———28.12%
33.12%—————3.12%
43.12%—————3.12%
5+———————
Total31.25%37.50%25.00%3.12%3.12%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.09 -0.06
SD 1.06 1.00 1.68
CV 1.03 0.91 —
Max 4 4 +4
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
015.62%3.12%9.38%6.25%3.12%—37.50%
19.38%9.38%3.12%6.25%—6.25%34.38%
23.12%3.12%6.25%———12.50%
33.12%6.25%—3.12%——12.50%
4———————
5+———3.12%——3.12%
Total31.25%21.88%18.75%18.75%3.12%6.25%100%

Summary Statistics

Scored Allowed Difference
Mean 1.12 1.59 -0.47
SD 1.24 1.50 1.88
CV 1.10 0.94 —
Max 5 5 +3
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
02.78%2.78%8.33%2.78%5.56%—22.22%
116.67%16.67%11.11%2.78%5.56%—52.78%
22.78%2.78%8.33%———13.89%
32.78%—2.78%———5.56%
42.78%—————2.78%
5+——2.78%———2.78%
Total27.78%22.22%33.33%5.56%11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.22 1.50 -0.28
SD 1.12 1.28 1.88
CV 0.92 0.85 —
Max 5 4 +4
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
015.62%18.75%——6.25%—40.62%
13.12%9.38%9.38%3.12%——25.00%
2—15.62%3.12%—6.25%—25.00%
3—3.12%——3.12%—6.25%
4———————
5+—3.12%————3.12%
Total18.75%50.00%12.50%3.12%15.62%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.09 1.47 -0.38
SD 1.20 1.29 1.56
CV 1.10 0.88 —
Max 5 4 +4
Min 0 0 -4

Games Played: 32

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 1918 64 53.35 +10.65 98.0% 28 44 50 54 58 63 67
Midtjylland 1756 38 46.65 -8.65 9.0% 28 37 43 46 50 57 63
Lyngby 1749 39 31.49 +7.51 88.0% 19 22 26 31 36 44 47
Brondby 1741 52 46.56 +5.44 80.0% 27 38 41 46 51 58 66
Nordsjaelland 1702 35 29.98 +5.02 85.0% 18 21 26 29 34 40 46
Sonderjyske 1668 39 39.55 -0.55 51.0% 23 28 35 39 44 50 53
Aarhus GF 1666 25 32.76 -7.76 13.0% 18 21 28 33 36 43 51
Randers 1649 33 37.58 -4.58 26.0% 22 28 33 37 41 47 53
Odense 1630 28 32.44 -4.44 23.0% 20 22 29 32 37 42 47
Viborg 1597 25 28.65 -3.65 28.0% 14 18 25 29 33 39 43
Silkeborg 1580 30 28.62 +1.38 60.0% 14 20 24 29 32 37 42
Horsens 1562 29 28.48 +0.52 61.0% 10 18 24 28 33 38 42
Esbjerg 1552 24 25.35 -1.35 49.0% 12 16 21 25 29 36 39
Aalborg 1544 33 35.99 -2.99 35.0% 22 26 31 36 40 47 53

Point Totals in Context

Each team's actual results against four model perspectives: simulated points, team Elo, average opponent Elo, and percentile within simulated outcomes. First phase is on the left, second phase on the right; the buttons switch the perspective on both plots at once. Dashed crosshairs at each plot's league means split it into four quadrants.

First Phase
Second Phase
First Phase
Second Phase
First Phase
Second Phase
First Phase
Second Phase

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Season metrics are available for completed seasons.

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The sections below show matchup heatmaps and round-by-round simulation outcomes.

Quarterfinals

Viborg 3
Horsens 1

Leg 1: Viborg 3-0 Horsens

Leg 2: Horsens 1-0 Viborg

Randers 4
Aalborg 1

Leg 1: Aalborg 0-2 Randers

Leg 2: Randers 2-1 Aalborg

Odense 4
Silkeborg 3

Leg 1: Odense 3-1 Silkeborg

Leg 2: Silkeborg 2-1 Odense

Aarhus GF 3
Esbjerg 1

Leg 1: Esbjerg 0-0 Aarhus GF

Leg 2: Aarhus GF 3-1 Esbjerg

Semifinals

Horsens 4
Esbjerg 3

Leg 1: Esbjerg 1-1 Horsens

Leg 2: Horsens 3-2 Esbjerg

Randers 3
Odense 1

Leg 1: Odense 1-1 Randers

Leg 2: Randers 2-0 Odense

Aarhus GF 3
Viborg 2

Leg 1: Viborg 2-2 Aarhus GF

Leg 2: Aarhus GF 1-0 Viborg

Finals

Horsens 3
Vendsyssel 1

Leg 1: Horsens 0-0 Vendsyssel

Leg 2: Vendsyssel 1-3 Horsens

Viborg 3
Helsingor 3

Leg 1: Helsingor 1-1 Viborg

Leg 2: Viborg 2-2 Helsingor

Midtjylland 3
Randers 0

Elo Progression Through The Playoffs

How each team's Elo rating moved through the playoff games. Game 0 is the starting Elo just before the first game; each later point is the post-game Elo after that fixture. Steep upward moves are wins over higher-rated opponents; sharp drops are losses to lower-rated opponents.

Final Table Odds

Each cell is the probability that the team (row) finished at that position (column). Use the buttons to switch between the first-phase positions when the league split and the final second-phase positions. Rows are sorted by actual finish (champion at top).

Team1234567891011121314
FC Copenhagen67.00%17.00%10.00%2.00%2.00%1.00%——————1.00%—
Brondby17.00%28.00%22.00%16.00%9.00%4.00%2.00%1.00%——1.00%———
Lyngby——3.00%4.00%7.00%15.00%6.00%13.00%8.00%10.00%8.00%12.00%8.00%6.00%
Sonderjyske6.00%7.00%18.00%21.00%10.00%6.00%9.00%7.00%9.00%1.00%1.00%2.00%2.00%1.00%
Midtjylland10.00%39.00%22.00%14.00%8.00%1.00%4.00%1.00%———1.00%——
Nordsjaelland—1.00%—2.00%5.00%3.00%7.00%16.00%12.00%12.00%13.00%16.00%4.00%9.00%
Randers—2.00%14.00%13.00%15.00%14.00%12.00%11.00%6.00%2.00%7.00%2.00%1.00%1.00%
Aalborg—5.00%5.00%9.00%17.00%12.00%12.00%9.00%9.00%7.00%8.00%2.00%4.00%1.00%
Silkeborg———2.00%2.00%5.00%6.00%8.00%11.00%16.00%12.00%11.00%11.00%16.00%
Horsens———1.00%4.00%7.00%8.00%7.00%4.00%12.00%9.00%19.00%14.00%15.00%
Odense——5.00%6.00%7.00%9.00%14.00%7.00%13.00%14.00%6.00%5.00%11.00%3.00%
Aarhus GF—1.00%1.00%7.00%8.00%17.00%10.00%11.00%10.00%9.00%7.00%5.00%11.00%3.00%
Viborg———3.00%4.00%1.00%6.00%5.00%14.00%13.00%12.00%14.00%14.00%14.00%
Esbjerg————2.00%5.00%4.00%4.00%4.00%4.00%16.00%11.00%19.00%31.00%
Team1234567891011121314
FC Copenhagen99.13%0.87%————————————
Brondby0.87%97.76%1.27%0.10%——————————
Lyngby—0.20%21.73%28.52%31.59%17.96%————————
Midtjylland—0.66%40.43%30.00%20.40%8.51%————————
Nordsjaelland——5.05%11.29%22.63%61.03%————————
Sonderjyske—0.51%31.52%30.09%25.38%12.50%————————
Silkeborg——————9.04%14.97%19.41%19.81%15.89%11.48%6.99%2.41%
Aalborg——————37.48%27.67%15.94%9.99%5.48%2.51%0.80%0.13%
Aarhus GF——————1.16%2.89%6.10%10.03%15.22%21.41%23.38%19.81%
Viborg——————0.84%2.59%5.68%8.88%13.55%19.51%25.39%23.56%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Use the buttons to switch between the first-phase distribution and the second-phase championship and relegation groups. Reading a curve at the 50% mark gives the median points typically needed to finish at that position.

Stochastic Promotion/Relegation Outcomes

Across 100,000 regular-season simulations from preseason Elo, the probability of each team's next-season outcome — promotion-positive outcomes on the left, relegation-positive on the right. The round buttons switch to heatmaps of how often each pair of teams met in that round of the playoff across the simulations, since every iteration produces a different field.

Team Qualified for Championship Round Survived Relegation Round
Aalborg 89.00% 11.00%
Aarhus GF 68.00% 32.00%
Brondby 100% —
Esbjerg 20.00% 80.00%
FC Copenhagen 100% —
Horsens 41.00% 59.00%
Lyngby 68.00% 32.00%
Midtjylland 99.00% 1.00%
Nordsjaelland 66.00% 34.00%
Odense 77.00% 23.00%
Randers 89.00% 11.00%
Silkeborg 38.00% 62.00%
Sonderjyske 95.00% 5.00%
Viborg 50.00% 50.00%

Actual Promotion/Relegation Outcomes

Across 100,000 simulations that took the actual first-phase results as FIXED and projected only the second-phase games, the probability of each team's end-of-season outcome. With the league split already decided, contenders and relegation candidates settle into clearer roles than in the full-season sim above.

Team Qualified for Championship Round Survived Relegation Round
Aalborg 91.08% 8.92%
Aarhus GF 20.18% 79.82%
Esbjerg 9.20% 90.80%
Horsens 42.42% 57.58%
Odense 65.36% 34.64%
Randers 90.54% 9.46%
Silkeborg 63.23% 36.77%
Viborg 17.99% 82.01%

Overall Game Log

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

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2016-07-15 Nordsjaelland L 0-456.7 1644 1631 44.25% 27.89% 27.86%+0.24 -38.9 0
2016-07-15 @ Viborg W 4-056.7 1631 1644 27.86% 27.89% 44.25%-0.24 +38.9 3
2016-07-15 Silkeborg D 0-065.2 1666 1623 48.18% 27.38% 24.44%+0.38 -1.4 1
2016-07-15 @ Odense D 0-065.2 1623 1666 24.44% 27.38% 48.18%-0.38 +1.4 1
2016-07-16 Lyngby W 3-048.2 1760 1605 60.92% 24.03% 15.05%+0.91 +12.1 3
2016-07-16 @ FC Copenhagen L 0-348.2 1605 1760 15.05% 24.03% 60.92%-0.91 -12.1 0
2016-07-17 Aarhus GF L 1-269.9 1712 1658 49.61% 27.14% 23.26%+0.43 -11.2 0
2016-07-17 @ Sonderjyske W 2-169.9 1658 1712 23.26% 27.14% 49.61%-0.43 +11.2 3
2016-07-17 Esbjerg W 4-049.6 1693 1611 52.90% 26.45% 20.64%+0.56 +21.4 3
2016-07-17 @ Brondby L 0-449.6 1611 1693 20.64% 26.45% 52.90%-0.56 -21.4 0
2016-07-17 Horsens D 1-170.3 1694 1586 55.92% 25.67% 18.41%+0.69 -2.0 1
2016-07-17 @ Aalborg D 1-170.3 1586 1694 18.41% 25.67% 55.92%-0.69 +2.0 1
2016-07-18 Randers D 2-277.0 1738 1679 50.11% 27.04% 22.85%+0.45 -1.1 1
2016-07-18 @ Midtjylland D 2-277.0 1679 1738 22.85% 27.04% 50.11%-0.45 +1.1 1
2016-07-22 Viborg W 2-160.5 1669 1605 50.71% 26.93% 22.36%+0.48 +6.0 6
2016-07-22 @ Aarhus GF L 1-260.5 1605 1669 22.36% 26.93% 50.71%-0.48 -6.0 0
2016-07-23 FC Copenhagen L 0-450.0 1589 1772 20.12% 26.29% 53.60%-0.69 -20.9 0
2016-07-23 @ Esbjerg W 4-050.0 1772 1589 53.60% 26.29% 20.12%+0.69 +20.9 6
2016-07-24 Aalborg L 0-161.9 1681 1692 40.89% 28.17% 30.95%+0.12 -10.2 1
2016-07-24 @ Randers W 1-061.9 1692 1681 30.95% 28.17% 40.89%-0.12 +10.2 4
2016-07-24 Brondby L 0-255.3 1624 1714 30.01% 28.10% 41.89%-0.25 -15.3 1
2016-07-24 @ Silkeborg W 2-055.3 1714 1624 41.89% 28.10% 30.01%+0.25 +15.3 6
2016-07-24 Midtjylland L 0-454.9 1670 1737 33.02% 28.27% 38.71%-0.14 -31.2 3
2016-07-24 @ Nordsjaelland W 4-054.9 1737 1670 38.71% 28.27% 33.02%+0.14 +31.2 4
2016-07-24 Odense D 2-275.0 1593 1665 32.44% 28.24% 39.31%-0.16 +0.2 1
2016-07-24 @ Lyngby D 2-275.0 1665 1593 39.31% 28.24% 32.44%+0.16 -0.2 2
2016-07-24 Sonderjyske D 1-169.8 1588 1701 27.21% 27.81% 44.98%-0.36 +0.9 2
2016-07-24 @ Horsens D 1-169.8 1701 1588 44.98% 27.81% 27.21%+0.36 -0.9 1
2016-07-29 Esbjerg W 2-159.6 1599 1569 46.53% 27.62% 25.85%+0.32 +6.8 3
2016-07-29 @ Viborg L 1-259.6 1569 1599 25.85% 27.62% 46.53%-0.32 -6.8 0
2016-07-30 Nordsjaelland W 4-048.4 1793 1638 60.85% 24.06% 15.10%+0.91 +15.8 9
2016-07-30 @ FC Copenhagen L 0-448.4 1638 1793 15.10% 24.06% 60.85%-0.91 -15.8 3
2016-07-31 Horsens D 2-276.9 1730 1589 59.43% 24.56% 16.01%+0.84 -1.8 7
2016-07-31 @ Brondby D 2-276.9 1589 1730 16.01% 24.56% 59.43%-0.84 +1.8 3
2016-07-31 Lyngby L 0-164.8 1700 1593 55.78% 25.71% 18.51%+0.68 -13.1 1
2016-07-31 @ Sonderjyske W 1-064.8 1593 1700 18.51% 25.71% 55.78%-0.68 +13.1 4
2016-07-31 Randers L 1-268.0 1675 1670 43.10% 28.00% 28.89%+0.20 -10.0 6
2016-07-31 @ Aarhus GF W 2-168.0 1670 1675 28.89% 28.00% 43.10%-0.20 +10.0 4
2016-07-31 Silkeborg W 3-048.1 1768 1609 61.39% 23.85% 14.75%+0.93 +11.8 7
2016-07-31 @ Midtjylland L 0-348.1 1609 1768 14.75% 23.85% 61.39%-0.93 -11.8 1
2016-08-01 Odense D 2-276.5 1702 1664 47.52% 27.48% 25.00%+0.36 -0.9 5
2016-08-01 @ Aalborg D 2-276.5 1664 1702 25.00% 27.48% 47.52%-0.36 +0.9 3
2016-08-05 Horsens W 1-053.9 1680 1590 53.82% 26.23% 19.95%+0.60 +5.8 7
2016-08-05 @ Randers L 0-153.9 1590 1680 19.95% 26.23% 53.82%-0.60 -5.8 3
2016-08-05 Lyngby L 0-454.6 1597 1606 41.20% 28.15% 30.66%+0.13 -36.8 1
2016-08-05 @ Silkeborg W 4-054.6 1606 1597 30.66% 28.15% 41.20%-0.13 +36.8 7
2016-08-06 Viborg D 0-065.0 1665 1606 50.17% 27.03% 22.80%+0.46 -1.6 4
2016-08-06 @ Odense D 0-065.0 1606 1665 22.80% 27.03% 50.17%-0.46 +1.6 4
2016-08-07 Aalborg L 1-264.3 1623 1702 31.49% 28.20% 40.31%-0.20 -8.0 3
2016-08-07 @ Nordsjaelland W 2-164.3 1702 1623 40.31% 28.20% 31.49%+0.20 +7.9 8
2016-08-07 Brondby D 3-381.2 1780 1728 49.33% 27.19% 23.49%+0.42 -0.8 8
2016-08-07 @ Midtjylland D 3-381.2 1728 1780 23.49% 27.19% 49.33%-0.42 +0.8 8
2016-08-07 FC Copenhagen D 1-171.4 1687 1809 26.22% 27.68% 46.10%-0.40 +1.0 2
2016-08-07 @ Sonderjyske D 1-171.4 1809 1687 46.10% 27.68% 26.22%+0.40 -1.0 10
2016-08-08 Aarhus GF D 2-274.5 1562 1665 28.43% 27.96% 43.61%-0.31 +0.6 1
2016-08-08 @ Esbjerg D 2-274.5 1665 1562 43.61% 27.96% 28.43%+0.31 -0.6 7
2016-08-12 Aarhus GF D 0-065.2 1643 1664 39.55% 28.24% 32.22%+0.07 -0.4 8
2016-08-12 @ Lyngby D 0-065.2 1664 1643 32.22% 28.24% 39.55%-0.07 +0.4 8
2016-08-12 Randers L 0-158.3 1607 1686 31.51% 28.20% 40.29%-0.20 -8.4 4
2016-08-12 @ Viborg W 1-058.3 1686 1607 40.29% 28.20% 31.51%+0.20 +8.4 10
2016-08-13 Midtjylland W 3-161.1 1808 1779 46.26% 27.66% 26.08%+0.31 +11.9 13
2016-08-13 @ FC Copenhagen L 1-361.1 1779 1808 26.08% 27.66% 46.26%-0.31 -11.9 8
2016-08-13 Silkeborg D 3-376.4 1585 1560 45.79% 27.72% 26.50%+0.29 -0.6 4
2016-08-13 @ Horsens D 3-376.4 1560 1585 26.50% 27.72% 45.79%-0.29 +0.6 2
2016-08-14 Nordsjaelland W 3-158.3 1664 1615 48.87% 27.27% 23.86%+0.41 +11.0 7
2016-08-14 @ Odense L 1-358.3 1615 1664 23.86% 27.27% 48.87%-0.41 -11.0 3
2016-08-14 Sonderjyske W 4-052.2 1729 1688 47.83% 27.43% 24.73%+0.37 +24.9 11
2016-08-14 @ Brondby L 0-452.2 1688 1729 24.73% 27.43% 47.83%-0.37 -25.0 2
2016-08-15 Esbjerg W 2-157.7 1710 1562 60.09% 24.33% 15.58%+0.87 +4.3 11
2016-08-15 @ Aalborg L 1-257.7 1562 1710 15.58% 24.33% 60.09%-0.87 -4.3 1
2016-08-19 Lyngby W 2-164.7 1584 1643 34.26% 28.30% 37.44%-0.10 +9.0 7
2016-08-19 @ Horsens L 1-264.7 1643 1584 37.44% 28.30% 34.26%+0.10 -9.0 8
2016-08-19 Randers D 1-169.8 1604 1695 29.94% 28.09% 41.97%-0.26 +0.6 4
2016-08-19 @ Nordsjaelland D 1-169.8 1695 1604 41.97% 28.09% 29.94%+0.26 -0.6 11
2016-08-20 Aalborg D 1-172.1 1820 1714 55.64% 25.75% 18.61%+0.68 -2.0 14
2016-08-20 @ FC Copenhagen D 1-172.1 1714 1820 18.61% 25.75% 55.64%-0.68 +2.0 12
2016-08-21 Brondby L 0-755.7 1665 1754 30.19% 28.11% 41.70%-0.25 -49.5 8
2016-08-21 @ Aarhus GF W 7-055.7 1754 1665 41.70% 28.11% 30.19%+0.25 +49.5 14
2016-08-21 Sonderjyske D 2-277.5 1768 1663 55.48% 25.79% 18.73%+0.67 -1.5 9
2016-08-21 @ Midtjylland D 2-277.5 1663 1768 18.73% 25.79% 55.48%-0.67 +1.5 3
2016-08-21 Viborg L 1-556.1 1561 1599 37.12% 28.30% 34.57%-0.01 -28.3 2
2016-08-21 @ Silkeborg W 5-156.1 1599 1561 34.57% 28.30% 37.12%+0.01 +28.3 7
2016-08-22 Odense W 3-272.0 1558 1675 26.82% 27.76% 45.41%-0.38 +9.9 4
2016-08-22 @ Esbjerg L 2-372.0 1675 1558 45.41% 27.76% 26.82%+0.38 -9.9 7
2016-08-26 Nordsjaelland L 0-161.7 1634 1604 46.38% 27.64% 25.98%+0.31 -11.3 8
2016-08-26 @ Lyngby W 1-061.7 1604 1634 25.98% 27.64% 46.38%-0.31 +11.3 7
2016-08-26 Silkeborg W 1-050.8 1694 1532 61.58% 23.78% 14.64%+0.94 +4.3 14
2016-08-26 @ Randers L 0-150.8 1532 1694 14.64% 23.78% 61.58%-0.94 -4.3 2
2016-08-28 Aarhus GF W 2-160.0 1716 1615 55.05% 25.91% 19.04%+0.65 +5.2 15
2016-08-28 @ Aalborg L 1-260.0 1615 1716 19.04% 25.91% 55.05%-0.65 -5.2 8
2016-08-28 Esbjerg D 1-169.4 1665 1568 54.59% 26.04% 19.38%+0.63 -1.9 4
2016-08-28 @ Sonderjyske D 1-169.4 1568 1665 19.38% 26.04% 54.59%-0.63 +1.9 5
2016-08-28 FC Copenhagen D 1-171.5 1803 1818 40.47% 28.19% 31.34%+0.11 -0.4 15
2016-08-28 @ Brondby D 1-171.5 1818 1803 31.34% 28.19% 40.47%-0.11 +0.5 15
2016-08-28 Horsens L 0-163.3 1665 1593 51.66% 26.73% 21.61%+0.51 -12.3 7
2016-08-28 @ Odense W 1-063.3 1593 1665 21.61% 26.73% 51.66%-0.51 +12.3 10
2016-08-28 Midtjylland D 0-066.2 1627 1766 24.36% 27.36% 48.27%-0.48 +1.4 8
2016-08-28 @ Viborg D 0-066.2 1766 1627 48.27% 27.36% 24.36%+0.48 -1.4 10
2016-09-09 Esbjerg W 3-046.7 1765 1570 64.83% 22.45% 12.72%+1.10 +10.1 13
2016-09-09 @ Midtjylland L 0-346.7 1570 1765 12.72% 22.45% 64.83%-1.10 -10.1 5
2016-09-09 Lyngby W 2-052.1 1698 1622 52.19% 26.62% 21.20%+0.53 +11.5 17
2016-09-09 @ Randers L 0-252.1 1622 1698 21.20% 26.62% 52.19%-0.53 -11.5 8
2016-09-10 Horsens L 2-468.0 1629 1605 45.60% 27.74% 26.66%+0.29 -16.2 8
2016-09-10 @ Viborg W 4-268.0 1605 1629 26.66% 27.74% 45.60%-0.29 +16.3 13
2016-09-10 Odense W 2-050.2 1818 1652 61.99% 23.62% 14.39%+0.96 +7.9 18
2016-09-10 @ FC Copenhagen L 0-250.2 1652 1818 14.39% 23.62% 61.99%-0.96 -7.9 7
2016-09-11 Brondby L 0-159.8 1721 1803 31.13% 28.18% 40.69%-0.21 -8.4 15
2016-09-11 @ Aalborg W 1-059.8 1803 1721 40.69% 28.18% 31.13%+0.21 +8.4 18
2016-09-11 Silkeborg D 2-274.7 1663 1528 58.78% 24.78% 16.43%+0.81 -1.7 5
2016-09-11 @ Sonderjyske D 2-274.7 1528 1663 16.43% 24.78% 58.78%-0.81 +1.7 3
2016-09-12 Nordsjaelland W 3-159.5 1610 1616 41.72% 28.11% 30.17%+0.15 +13.3 11
2016-09-12 @ Aarhus GF L 1-359.5 1616 1610 30.17% 28.11% 41.72%-0.15 -13.3 7
2016-09-16 Randers D 1-169.7 1560 1710 23.20% 27.12% 49.68%-0.54 +1.4 6
2016-09-16 @ Esbjerg D 1-169.7 1710 1560 49.68% 27.12% 23.20%+0.54 -1.4 18
2016-09-17 Aarhus GF W 1-058.6 1530 1623 29.60% 28.07% 42.33%-0.27 +10.5 6
2016-09-17 @ Silkeborg L 0-158.6 1623 1530 42.33% 28.07% 29.60%+0.27 -10.5 11
2016-09-18 FC Copenhagen L 0-251.9 1622 1826 18.31% 25.63% 56.07%-0.79 -10.1 13
2016-09-18 @ Horsens W 2-051.9 1826 1622 56.07% 25.63% 18.31%+0.79 +10.1 21
2016-09-18 Midtjylland L 0-157.4 1644 1775 25.27% 27.53% 47.21%-0.44 -7.1 7
2016-09-18 @ Odense W 1-057.4 1775 1644 47.21% 27.53% 25.27%+0.44 +7.1 16
2016-09-18 Sonderjyske L 2-369.4 1602 1661 34.23% 28.30% 37.47%-0.10 -8.0 7
2016-09-18 @ Nordsjaelland W 3-269.4 1661 1602 37.47% 28.30% 34.23%+0.10 +8.0 8
2016-09-18 Viborg L 1-273.5 1811 1612 65.17% 22.30% 12.53%+1.11 -14.1 18
2016-09-18 @ Brondby W 2-173.5 1612 1811 12.53% 22.30% 65.17%-1.11 +14.1 11
2016-09-19 Aalborg W 1-062.2 1611 1713 28.56% 27.97% 43.47%-0.31 +10.7 11
2016-09-19 @ Lyngby L 0-162.2 1713 1611 43.47% 27.97% 28.56%+0.31 -10.7 15
2016-09-20 Silkeborg D 0-060.7 1561 1540 45.29% 27.78% 26.93%+0.27 -1.0 7
2016-09-20 @ Esbjerg D 0-060.7 1540 1561 26.93% 27.78% 45.29%-0.27 +1.0 7
2016-09-21 FC Copenhagen D 2-277.4 1708 1836 25.56% 27.57% 46.87%-0.43 +0.8 19
2016-09-21 @ Randers D 2-277.4 1836 1708 46.87% 27.57% 25.56%+0.43 -0.8 22
2016-09-21 Midtjylland D 1-171.2 1613 1782 21.34% 26.66% 52.01%-0.63 +1.6 12
2016-09-21 @ Aarhus GF D 1-171.2 1782 1613 52.01% 26.66% 21.34%+0.63 -1.6 17
2016-09-21 Nordsjaelland D 0-063.6 1612 1594 44.82% 27.83% 27.34%+0.26 -1.0 14
2016-09-21 @ Horsens D 0-063.6 1594 1612 27.34% 27.83% 44.82%-0.26 +1.0 8
2016-09-22 Brondby W 1-065.3 1621 1797 20.76% 26.49% 52.75%-0.66 +12.5 14
2016-09-22 @ Lyngby L 0-165.3 1797 1621 52.75% 26.49% 20.76%+0.66 -12.5 18
2016-09-22 Odense W 1-056.5 1669 1637 46.69% 27.60% 25.71%+0.32 +7.2 11
2016-09-22 @ Sonderjyske L 0-156.5 1637 1669 25.71% 27.60% 46.69%-0.32 -7.2 7
2016-09-22 Viborg W 1-055.1 1702 1627 52.12% 26.63% 21.25%+0.53 +6.1 18
2016-09-22 @ Aalborg L 0-155.1 1627 1702 21.25% 26.63% 52.12%-0.53 -6.1 11
2016-09-24 Aarhus GF W 2-048.5 1835 1614 67.25% 21.35% 11.40%+1.22 +6.2 25
2016-09-24 @ FC Copenhagen L 0-248.5 1614 1835 11.40% 21.35% 67.25%-1.22 -6.1 12
2016-09-25 Esbjerg W 3-048.8 1595 1560 47.13% 27.54% 25.33%+0.34 +19.5 11
2016-09-25 @ Nordsjaelland L 0-348.8 1560 1595 25.33% 27.54% 47.13%-0.34 -19.5 7
2016-09-25 Horsens W 5-255.5 1780 1611 62.38% 23.47% 14.15%+0.98 +8.3 20
2016-09-25 @ Midtjylland L 2-555.5 1611 1780 14.15% 23.47% 62.38%-0.98 -8.3 14
2016-09-25 Lyngby L 0-160.4 1620 1634 40.62% 28.18% 31.20%+0.11 -10.2 11
2016-09-25 @ Viborg W 1-060.4 1634 1620 31.20% 28.18% 40.62%-0.11 +10.2 17
2016-09-25 Odense W 3-048.6 1784 1630 60.82% 24.07% 15.11%+0.90 +12.1 21
2016-09-25 @ Brondby L 0-348.6 1630 1784 15.11% 24.07% 60.82%-0.90 -12.1 7
2016-09-25 Sonderjyske L 0-458.6 1709 1676 46.87% 27.58% 25.56%+0.33 -40.7 19
2016-09-25 @ Randers W 4-058.6 1676 1709 25.56% 27.58% 46.87%-0.33 +40.7 14
2016-09-26 Aalborg W 5-371.4 1541 1708 21.55% 26.72% 51.73%-0.61 +17.0 10
2016-09-26 @ Silkeborg L 3-571.4 1708 1541 51.73% 26.72% 21.55%+0.61 -17.0 18
2016-09-30 Aarhus GF W 2-161.8 1618 1608 43.81% 27.94% 28.25%+0.22 +7.3 10
2016-09-30 @ Odense L 1-261.8 1608 1618 28.25% 27.94% 43.81%-0.22 -7.3 12
2016-09-30 Nordsjaelland D 2-273.2 1558 1615 34.55% 28.30% 37.15%-0.09 +0.1 11
2016-09-30 @ Silkeborg D 2-273.2 1615 1558 37.15% 28.30% 34.55%+0.09 -0.1 12
2016-10-01 Esbjerg W 1-052.1 1602 1541 50.47% 26.97% 22.56%+0.47 +6.5 17
2016-10-01 @ Horsens L 0-152.1 1541 1602 22.56% 26.97% 50.47%-0.47 -6.4 7
2016-10-02 FC Copenhagen D 0-067.4 1610 1842 16.30% 24.72% 58.98%-0.92 +2.6 12
2016-10-02 @ Viborg D 0-067.4 1842 1610 58.98% 24.72% 16.30%+0.92 -2.6 26
2016-10-02 Midtjylland W 1-064.5 1644 1789 23.77% 27.25% 48.98%-0.51 +11.8 20
2016-10-02 @ Lyngby L 0-164.5 1789 1644 48.98% 27.25% 23.77%+0.51 -11.8 20
2016-10-02 Randers D 2-277.9 1797 1669 58.07% 25.02% 16.92%+0.78 -1.7 22
2016-10-02 @ Brondby D 2-277.9 1669 1797 16.92% 25.02% 58.07%-0.78 +1.7 20
2016-10-02 Sonderjyske L 0-161.6 1691 1717 38.91% 28.26% 32.83%+0.05 -9.8 18
2016-10-02 @ Aalborg W 1-061.6 1717 1691 32.83% 28.26% 38.91%-0.05 +9.8 17
2016-10-14 Horsens D 1-168.3 1601 1609 41.40% 28.13% 30.46%+0.14 -0.5 13
2016-10-14 @ Aarhus GF D 1-168.3 1609 1601 30.46% 28.13% 41.40%-0.14 +0.5 18
2016-10-14 Viborg W 1-053.9 1727 1613 56.53% 25.49% 17.98%+0.71 +5.2 20
2016-10-14 @ Sonderjyske L 0-153.9 1613 1727 17.98% 25.49% 56.53%-0.71 -5.2 12
2016-10-15 Silkeborg W 2-046.7 1839 1558 72.39% 18.74% 8.87%+1.50 +4.6 29
2016-10-15 @ FC Copenhagen L 0-246.7 1558 1839 8.87% 18.74% 72.39%-1.50 -4.6 11
2016-10-16 Aalborg W 2-052.4 1777 1681 54.47% 26.07% 19.47%+0.63 +10.7 23
2016-10-16 @ Midtjylland L 0-252.4 1681 1777 19.47% 26.07% 54.47%-0.63 -10.7 18
2016-10-16 Brondby D 1-171.4 1615 1795 20.33% 26.35% 53.31%-0.68 +1.8 13
2016-10-16 @ Nordsjaelland D 1-171.4 1795 1615 53.31% 26.35% 20.33%+0.68 -1.8 23
2016-10-16 Odense W 3-051.2 1670 1625 48.37% 27.35% 24.28%+0.39 +18.8 23
2016-10-16 @ Randers L 0-351.2 1625 1670 24.28% 27.35% 48.37%-0.39 -18.8 10
2016-10-17 Lyngby D 2-273.8 1534 1656 26.23% 27.68% 46.10%-0.40 +0.8 8
2016-10-17 @ Esbjerg D 2-273.8 1656 1534 46.10% 27.68% 26.23%+0.40 -0.8 21
2016-10-21 Nordsjaelland D 1-169.9 1671 1616 49.54% 27.15% 23.31%+0.43 -1.4 19
2016-10-21 @ Aalborg D 1-169.9 1616 1671 23.31% 27.15% 49.54%-0.43 +1.4 14
2016-10-21 Silkeborg L 1-363.6 1608 1554 49.50% 27.16% 23.35%+0.43 -19.4 12
2016-10-21 @ Viborg W 3-163.6 1554 1608 23.35% 27.16% 49.50%-0.43 +19.4 14
2016-10-22 Sonderjyske W 2-058.8 1655 1732 31.77% 28.21% 40.02%-0.19 +19.0 24
2016-10-22 @ Lyngby L 0-258.8 1732 1655 40.02% 28.21% 31.77%+0.19 -19.0 20
2016-10-23 Aarhus GF W 1-052.0 1793 1600 64.62% 22.54% 12.84%+1.09 +3.7 26
2016-10-23 @ Brondby L 0-152.0 1600 1793 12.84% 22.54% 64.62%-1.09 -3.7 13
2016-10-23 FC Copenhagen L 0-349.1 1607 1844 15.91% 24.51% 59.58%-0.95 -12.8 10
2016-10-23 @ Odense W 3-049.1 1844 1607 59.58% 24.51% 15.91%+0.95 +12.8 32
2016-10-23 Randers W 1-061.0 1609 1689 31.39% 28.19% 40.41%-0.20 +10.1 21
2016-10-23 @ Horsens L 0-161.0 1689 1609 40.41% 28.19% 31.39%+0.20 -10.1 23
2016-10-24 Midtjylland L 1-355.2 1535 1787 14.89% 23.93% 61.18%-1.02 -7.1 8
2016-10-24 @ Esbjerg W 3-155.2 1787 1535 61.18% 23.93% 14.89%+1.02 +7.1 26
2016-10-28 Odense D 1-167.3 1573 1594 39.64% 28.23% 32.13%+0.08 -0.4 15
2016-10-28 @ Silkeborg D 1-167.3 1594 1573 32.13% 28.23% 39.64%-0.08 +0.4 11
2016-10-28 Viborg W 4-368.1 1618 1588 46.41% 27.64% 25.95%+0.31 +6.3 17
2016-10-28 @ Nordsjaelland L 3-468.1 1588 1618 25.95% 27.64% 46.41%-0.31 -6.3 12
2016-10-29 Randers L 0-259.0 1674 1679 41.85% 28.10% 30.05%+0.15 -19.6 24
2016-10-29 @ Lyngby W 2-059.0 1679 1674 30.05% 28.10% 41.85%-0.15 +19.6 26
2016-10-30 Aalborg W 2-051.4 1797 1669 58.03% 25.03% 16.94%+0.78 +9.4 29
2016-10-30 @ Brondby L 0-251.4 1669 1797 16.94% 25.03% 58.03%-0.78 -9.4 19
2016-10-30 FC Copenhagen L 1-363.7 1795 1856 33.81% 28.29% 37.90%-0.12 -14.5 26
2016-10-30 @ Midtjylland W 3-163.7 1856 1795 37.90% 28.29% 33.81%+0.12 +14.5 35
2016-10-30 Horsens W 2-051.6 1713 1619 54.24% 26.13% 19.64%+0.62 +10.8 23
2016-10-30 @ Sonderjyske L 0-251.6 1619 1713 19.64% 26.13% 54.24%-0.62 -10.8 21
2016-10-31 Esbjerg W 6-251.7 1597 1528 51.33% 26.80% 21.87%+0.50 +15.9 16
2016-10-31 @ Aarhus GF L 2-651.7 1528 1597 21.87% 26.80% 51.33%-0.50 -15.9 8
2016-11-04 Aalborg W 3-056.3 1512 1660 23.41% 27.17% 49.42%-0.53 +32.5 11
2016-11-04 @ Esbjerg L 0-356.3 1660 1512 49.42% 27.17% 23.41%+0.53 -32.5 19
2016-11-04 Silkeborg D 0-063.2 1613 1573 47.72% 27.45% 24.83%+0.36 -1.3 17
2016-11-04 @ Aarhus GF D 0-063.2 1573 1613 24.83% 27.45% 47.72%-0.36 +1.3 16
2016-11-05 Nordsjaelland W 2-160.8 1698 1624 52.00% 26.66% 21.34%+0.53 +5.8 29
2016-11-05 @ Randers L 1-260.8 1624 1698 21.34% 26.66% 52.00%-0.53 -5.8 17
2016-11-06 Brondby L 1-259.5 1582 1806 16.80% 24.96% 58.24%-0.89 -4.6 12
2016-11-06 @ Viborg W 2-159.5 1806 1582 58.24% 24.96% 16.80%+0.89 +4.6 32
2016-11-06 Lyngby L 1-264.0 1594 1655 33.99% 28.29% 37.71%-0.11 -8.4 11
2016-11-06 @ Odense W 2-164.0 1655 1594 37.71% 28.29% 33.99%+0.11 +8.4 27
2016-11-06 Midtjylland L 1-554.4 1609 1780 21.14% 26.60% 52.26%-0.64 -18.2 21
2016-11-06 @ Horsens W 5-154.4 1780 1609 52.26% 26.60% 21.14%+0.64 +18.2 29
2016-11-06 Sonderjyske W 4-049.1 1871 1724 60.07% 24.34% 15.59%+0.87 +16.3 38
2016-11-06 @ FC Copenhagen L 0-449.1 1724 1871 15.59% 24.34% 60.07%-0.87 -16.3 23
2016-11-18 FC Copenhagen L 1-259.0 1627 1887 14.43% 23.65% 61.92%-1.05 -4.0 19
2016-11-18 @ Aalborg W 2-159.0 1887 1627 61.92% 23.65% 14.43%+1.05 +4.0 41
2016-11-18 Horsens L 0-163.3 1663 1591 51.76% 26.71% 21.53%+0.52 -12.4 27
2016-11-18 @ Lyngby W 1-063.3 1591 1663 21.53% 26.71% 51.76%-0.52 +12.4 24
2016-11-19 Aarhus GF W 3-267.0 1618 1611 43.44% 27.97% 28.59%+0.21 +7.0 20
2016-11-19 @ Nordsjaelland L 2-367.0 1611 1618 28.59% 27.97% 43.44%-0.21 -7.0 17
2016-11-20 Brondby W 1-066.4 1586 1811 16.74% 24.94% 58.32%-0.89 +13.6 14
2016-11-20 @ Odense L 0-166.4 1811 1586 58.32% 24.94% 16.74%+0.89 -13.6 32
2016-11-20 Midtjylland W 1-062.9 1707 1798 29.95% 28.10% 41.95%-0.25 +10.4 26
2016-11-20 @ Sonderjyske L 0-162.9 1798 1707 41.95% 28.10% 29.95%+0.25 -10.4 29
2016-11-20 Viborg W 2-158.5 1704 1577 57.97% 25.05% 16.98%+0.78 +4.7 32
2016-11-20 @ Randers L 1-258.5 1577 1704 16.98% 25.05% 57.97%-0.78 -4.7 12
2016-11-21 Esbjerg W 3-047.9 1574 1544 46.43% 27.64% 25.94%+0.32 +19.9 19
2016-11-21 @ Silkeborg L 0-347.9 1544 1574 25.94% 27.64% 46.43%-0.32 -19.9 11
2016-11-25 Aarhus GF L 1-558.8 1603 1604 42.31% 28.07% 29.62%+0.17 -31.3 24
2016-11-25 @ Horsens W 5-158.8 1604 1603 29.62% 28.07% 42.31%-0.17 +31.3 20
2016-11-25 Randers W 2-167.3 1623 1709 30.61% 28.14% 41.25%-0.23 +9.7 22
2016-11-25 @ Aalborg L 1-267.3 1709 1623 41.25% 28.14% 30.61%+0.23 -9.7 32
2016-11-26 FC Copenhagen L 0-154.0 1651 1891 15.67% 24.38% 59.95%-0.96 -4.6 27
2016-11-26 @ Lyngby W 1-054.0 1891 1651 59.95% 24.38% 15.67%+0.96 +4.6 44
2016-11-26 Sonderjyske D 2-275.8 1573 1718 23.67% 27.23% 49.10%-0.51 +1.0 13
2016-11-26 @ Viborg D 2-275.8 1718 1573 49.10% 27.23% 23.67%+0.51 -1.0 27
2016-11-27 Nordsjaelland D 2-272.7 1525 1625 28.72% 27.99% 43.29%-0.30 +0.5 12
2016-11-27 @ Esbjerg D 2-272.7 1625 1525 43.29% 27.99% 28.72%+0.30 -0.5 21
2016-11-27 Silkeborg W 3-154.5 1797 1594 65.61% 22.11% 12.28%+1.14 +5.8 35
2016-11-27 @ Brondby L 1-354.5 1594 1797 12.28% 22.11% 65.61%-1.14 -5.8 19
2016-11-28 Odense W 1-052.0 1788 1599 64.21% 22.72% 13.07%+1.07 +3.8 32
2016-11-28 @ Midtjylland L 0-152.0 1599 1788 13.07% 22.72% 64.21%-1.07 -3.8 14
2016-11-29 Aalborg D 1-170.9 1717 1633 53.12% 26.40% 20.48%+0.57 -1.7 28
2016-11-29 @ Sonderjyske D 1-170.9 1633 1717 20.48% 26.40% 53.12%-0.57 +1.7 23
2016-11-29 Lyngby L 0-160.9 1635 1646 41.04% 28.16% 30.80%+0.12 -10.2 20
2016-11-29 @ Aarhus GF W 1-060.9 1646 1635 30.80% 28.16% 41.04%-0.12 +10.2 30
2016-11-29 Viborg W 4-044.1 1896 1573 75.66% 16.91% 7.43%+1.70 +7.1 47
2016-11-29 @ FC Copenhagen L 0-444.1 1573 1896 7.43% 16.91% 75.66%-1.70 -7.1 13
2016-11-30 Brondby L 0-158.8 1699 1803 28.35% 27.95% 43.70%-0.32 -7.8 32
2016-11-30 @ Randers W 1-058.8 1803 1699 43.70% 27.95% 28.35%+0.32 +7.8 38
2016-11-30 Horsens W 2-159.5 1625 1572 49.40% 27.17% 23.43%+0.43 +6.3 24
2016-11-30 @ Nordsjaelland L 1-259.5 1572 1625 23.43% 27.17% 49.40%-0.43 -6.3 24
2016-12-01 Esbjerg L 0-160.1 1596 1525 51.52% 26.76% 21.72%+0.51 -12.3 14
2016-12-01 @ Odense W 1-060.1 1525 1596 21.72% 26.76% 51.52%-0.51 +12.3 15
2016-12-01 Midtjylland W 2-171.4 1588 1792 18.39% 25.66% 55.95%-0.79 +12.4 22
2016-12-01 @ Silkeborg L 1-271.4 1792 1588 55.95% 25.66% 18.39%+0.79 -12.4 32
2016-12-03 Randers W 1-052.2 1903 1691 66.36% 21.77% 11.87%+1.17 +3.4 50
2016-12-03 @ FC Copenhagen L 0-152.2 1691 1903 11.87% 21.77% 66.36%-1.17 -3.4 32
2016-12-03 Viborg L 1-263.7 1565 1566 42.34% 28.07% 29.59%+0.17 -9.9 24
2016-12-03 @ Horsens W 2-163.7 1566 1565 29.59% 28.07% 42.34%-0.17 +9.9 16
2016-12-04 Aarhus GF L 0-166.9 1779 1625 60.79% 24.08% 15.13%+0.90 -14.1 32
2016-12-04 @ Midtjylland W 1-066.9 1625 1779 15.13% 24.08% 60.79%-0.90 +14.1 23
2016-12-04 Brondby D 1-171.9 1537 1811 13.63% 23.12% 63.25%-1.12 +2.7 16
2016-12-04 @ Esbjerg D 1-171.9 1811 1537 63.25% 23.12% 13.63%+1.12 -2.7 39
2016-12-04 Odense L 0-161.8 1631 1583 48.73% 27.29% 23.98%+0.40 -11.7 24
2016-12-04 @ Nordsjaelland W 1-061.8 1583 1631 23.98% 27.29% 48.73%-0.40 +11.8 17
2016-12-05 Lyngby W 1-058.5 1635 1656 39.51% 28.24% 32.25%+0.07 +8.6 26
2016-12-05 @ Aalborg L 0-158.5 1656 1635 32.25% 28.24% 39.51%-0.07 -8.6 30
2016-12-05 Sonderjyske D 1-170.1 1601 1715 27.06% 27.79% 45.15%-0.37 +0.9 23
2016-12-05 @ Silkeborg D 1-170.1 1715 1601 45.15% 27.79% 27.06%+0.37 -0.9 29
2016-12-09 Aalborg W 3-054.9 1555 1643 30.32% 28.12% 41.56%-0.24 +28.3 27
2016-12-09 @ Horsens L 0-354.9 1643 1555 41.56% 28.12% 30.32%+0.24 -28.3 26
2016-12-09 Nordsjaelland D 0-066.1 1714 1619 54.41% 26.08% 19.51%+0.62 -2.1 30
2016-12-09 @ Sonderjyske D 0-066.1 1619 1714 19.51% 26.08% 54.41%-0.62 +2.1 25
2016-12-10 Silkeborg D 1-169.3 1648 1602 48.54% 27.32% 24.14%+0.39 -1.3 31
2016-12-10 @ Lyngby D 1-169.3 1602 1648 24.14% 27.32% 48.54%-0.39 +1.3 24
2016-12-11 Esbjerg L 0-261.7 1688 1540 60.16% 24.31% 15.53%+0.87 -26.4 32
2016-12-11 @ Randers W 2-061.7 1540 1688 15.53% 24.31% 60.16%-0.87 +26.4 19
2016-12-11 FC Copenhagen L 0-153.2 1639 1906 14.01% 23.38% 62.62%-1.09 -4.1 23
2016-12-11 @ Aarhus GF W 1-053.2 1906 1639 62.62% 23.38% 14.01%+1.09 +4.1 53
2016-12-11 Midtjylland W 2-163.3 1808 1765 48.13% 27.39% 24.48%+0.38 +6.5 42
2016-12-11 @ Brondby L 1-263.3 1765 1808 24.48% 27.39% 48.13%-0.38 -6.5 32
2016-12-12 Odense D 1-167.4 1576 1595 39.91% 28.22% 31.87%+0.09 -0.4 17
2016-12-12 @ Viborg D 1-167.4 1595 1576 31.87% 28.22% 39.91%-0.09 +0.4 18
2017-02-17 Lyngby L 0-160.2 1621 1646 39.01% 28.26% 32.74%+0.06 -9.9 25
2017-02-17 @ Nordsjaelland W 1-060.2 1646 1621 32.74% 28.26% 39.01%-0.06 +9.9 34
2017-02-17 Sonderjyske W 3-058.4 1567 1712 23.65% 27.22% 49.13%-0.51 +32.4 22
2017-02-17 @ Esbjerg L 0-358.4 1712 1567 49.13% 27.22% 23.65%+0.51 -32.4 30
2017-02-18 Horsens W 1-054.9 1603 1584 45.04% 27.81% 27.16%+0.26 +7.5 27
2017-02-18 @ Silkeborg L 0-154.9 1584 1603 27.16% 27.81% 45.04%-0.26 -7.5 27
2017-02-19 Aalborg L 1-267.3 1635 1615 45.20% 27.79% 27.01%+0.27 -10.4 23
2017-02-19 @ Aarhus GF W 2-167.3 1615 1635 27.01% 27.79% 45.20%-0.27 +10.4 29
2017-02-19 Brondby D 0-067.5 1910 1815 54.49% 26.06% 19.45%+0.63 -2.1 54
2017-02-19 @ FC Copenhagen D 0-067.5 1815 1910 19.45% 26.06% 54.49%-0.63 +2.1 43
2017-02-19 Viborg D 0-067.1 1759 1576 63.65% 22.96% 13.40%+1.04 -3.1 33
2017-02-19 @ Midtjylland D 0-067.1 1576 1759 13.40% 22.96% 63.65%-1.04 +3.1 18
2017-02-20 Randers W 3-055.2 1595 1662 33.19% 28.27% 38.54%-0.14 +26.8 21
2017-02-20 @ Odense L 0-355.2 1662 1595 38.54% 28.27% 33.19%+0.14 -26.8 32
2017-02-24 Midtjylland L 0-254.6 1635 1755 26.37% 27.70% 45.93%-0.40 -13.9 32
2017-02-24 @ Randers W 2-054.6 1755 1635 45.93% 27.70% 26.37%+0.40 +13.9 36
2017-02-25 Odense D 1-168.0 1576 1622 36.05% 28.31% 35.64%-0.04 -0.0 28
2017-02-25 @ Horsens D 1-168.0 1622 1576 35.64% 28.31% 36.05%+0.04 +0.0 22
2017-02-26 Brondby L 1-263.1 1680 1817 24.57% 27.40% 48.03%-0.47 -6.5 30
2017-02-26 @ Sonderjyske W 2-163.1 1817 1680 48.03% 27.40% 24.57%+0.47 +6.5 46
2017-02-26 FC Copenhagen D 1-173.1 1611 1908 12.34% 22.16% 65.50%-1.23 +3.0 26
2017-02-26 @ Nordsjaelland D 1-173.1 1908 1611 65.50% 22.16% 12.34%+1.23 -2.9 55
2017-02-26 Silkeborg W 3-051.4 1625 1610 44.52% 27.86% 27.61%+0.25 +20.9 32
2017-02-26 @ Aalborg L 0-351.4 1610 1625 27.61% 27.86% 44.52%-0.25 -20.9 27
2017-02-27 Aarhus GF D 1-168.1 1579 1625 36.06% 28.31% 35.62%-0.04 -0.0 19
2017-02-27 @ Viborg D 1-168.1 1625 1579 35.62% 28.31% 36.06%+0.04 +0.0 24
2017-02-27 Esbjerg D 0-064.8 1656 1599 49.93% 27.08% 22.99%+0.45 -1.6 35
2017-02-27 @ Lyngby D 0-064.8 1599 1656 22.99% 27.08% 49.93%-0.45 +1.6 23
2017-03-03 Lyngby D 1-171.7 1769 1655 56.60% 25.47% 17.93%+0.72 -2.1 37
2017-03-03 @ Midtjylland D 1-171.7 1655 1769 17.93% 25.47% 56.60%-0.72 +2.1 36
2017-03-03 Viborg L 1-363.0 1601 1579 45.37% 27.77% 26.86%+0.28 -18.1 23
2017-03-03 @ Esbjerg W 3-163.0 1579 1601 26.86% 27.77% 45.37%-0.28 +18.1 22
2017-03-04 Sonderjyske L 1-265.3 1625 1673 35.69% 28.31% 35.99%-0.05 -8.7 24
2017-03-04 @ Aarhus GF W 2-165.3 1673 1625 35.99% 28.31% 35.69%+0.05 +8.7 33
2017-03-05 Horsens W 5-044.5 1905 1576 76.17% 16.62% 7.21%+1.73 +8.4 58
2017-03-05 @ FC Copenhagen L 0-544.5 1576 1905 7.21% 16.62% 76.17%-1.73 -8.4 28
2017-03-05 Nordsjaelland L 2-378.7 1823 1614 66.13% 21.87% 12.00%+1.16 -13.5 46
2017-03-05 @ Brondby W 3-278.7 1614 1823 12.00% 21.87% 66.13%-1.16 +13.5 29
2017-03-05 Randers W 2-054.5 1589 1621 38.09% 28.29% 33.63%+0.03 +16.7 30
2017-03-05 @ Silkeborg L 0-254.5 1621 1589 33.63% 28.29% 38.09%-0.03 -16.7 32
2017-03-06 Aalborg W 4-053.3 1622 1646 39.16% 28.25% 32.59%+0.06 +31.0 25
2017-03-06 @ Odense L 0-453.3 1646 1622 32.59% 28.25% 39.16%-0.06 -31.0 32
2017-03-10 Aarhus GF D 1-168.5 1604 1616 40.87% 28.17% 30.96%+0.12 -0.5 33
2017-03-10 @ Randers D 1-168.5 1616 1604 30.96% 28.17% 40.87%-0.12 +0.5 25
2017-03-10 Silkeborg W 5-154.6 1628 1606 45.40% 27.77% 26.83%+0.28 +22.2 32
2017-03-10 @ Nordsjaelland L 1-554.6 1606 1628 26.83% 27.77% 45.40%-0.28 -22.2 30
2017-03-11 Viborg W 1-054.7 1657 1597 50.22% 27.02% 22.76%+0.46 +6.5 39
2017-03-11 @ Lyngby L 0-154.7 1597 1657 22.76% 27.02% 50.22%-0.46 -6.5 22
2017-03-12 Brondby L 0-250.2 1568 1810 15.58% 24.33% 60.09%-0.97 -8.6 28
2017-03-12 @ Horsens W 2-050.2 1810 1568 60.09% 24.33% 15.58%+0.97 +8.6 49
2017-03-12 Esbjerg W 2-046.0 1914 1582 76.33% 16.52% 7.15%+1.74 +3.6 61
2017-03-12 @ FC Copenhagen L 0-246.0 1582 1914 7.15% 16.52% 76.33%-1.74 -3.6 23
2017-03-12 Sonderjyske L 0-160.9 1653 1682 38.49% 28.27% 33.24%+0.04 -9.8 25
2017-03-12 @ Odense W 1-060.9 1682 1653 33.24% 28.27% 38.49%-0.04 +9.8 36
2017-03-13 Midtjylland D 1-171.0 1615 1767 23.01% 27.08% 49.91%-0.54 +1.4 33
2017-03-13 @ Aalborg D 1-171.0 1767 1615 49.91% 27.08% 23.01%+0.54 -1.4 38
2017-03-19 Aalborg W 2-162.9 1591 1617 38.87% 28.26% 32.87%+0.05 +8.2 25
2017-03-19 @ Viborg L 1-262.9 1617 1591 32.87% 28.26% 38.87%-0.05 -8.2 33
2017-03-19 FC Copenhagen L 1-354.1 1584 1917 10.58% 20.59% 68.83%-1.40 -4.9 30
2017-03-19 @ Silkeborg W 3-154.1 1917 1584 68.83% 20.59% 10.58%+1.40 +4.9 64
2017-03-19 Horsens D 1-166.6 1579 1559 45.12% 27.80% 27.08%+0.27 -0.9 24
2017-03-19 @ Esbjerg D 1-166.6 1559 1579 27.08% 27.80% 45.12%-0.27 +0.9 29
2017-03-19 Lyngby W 3-264.3 1818 1663 60.89% 24.04% 15.07%+0.91 +3.9 52
2017-03-19 @ Brondby L 2-364.3 1663 1818 15.07% 24.04% 60.89%-0.91 -3.9 39
2017-03-19 Nordsjaelland L 1-271.8 1766 1650 56.73% 25.43% 17.84%+0.72 -12.6 38
2017-03-19 @ Midtjylland W 2-171.8 1650 1766 17.84% 25.43% 56.73%-0.72 +12.6 35
2017-03-19 Odense L 1-265.6 1617 1643 38.78% 28.26% 32.96%+0.05 -9.3 25
2017-03-19 @ Aarhus GF W 2-165.6 1643 1617 32.96% 28.26% 38.78%-0.05 +9.3 28
2017-03-19 Randers W 1-054.3 1692 1604 53.58% 26.29% 20.13%+0.59 +5.8 39
2017-03-19 @ Sonderjyske L 0-154.3 1604 1692 20.13% 26.29% 53.58%-0.59 -5.8 33

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2017-03-31 Lyngby W 2-054.9 1663 1659 42.93% 28.02% 29.05%+0.19 +15.0 3
2017-03-31 @ Nordsjaelland L 0-254.9 1659 1663 29.05% 28.02% 42.93%-0.19 -14.9 0
2017-03-31 Odense D 0-063.7 1560 1653 29.73% 28.08% 42.19%-0.26 +0.7 1
2017-03-31 @ Horsens D 0-063.7 1653 1560 42.19% 28.08% 29.73%+0.26 -0.7 1
2017-04-01 Aalborg D 0-063.0 1579 1609 38.39% 28.28% 33.33%+0.04 -0.3 1
2017-04-01 @ Silkeborg D 0-063.0 1609 1579 33.33% 28.28% 38.39%-0.04 +0.3 1
2017-04-02 Aarhus GF L 2-466.3 1599 1607 41.31% 28.14% 30.55%+0.13 -15.0 0
2017-04-02 @ Viborg W 4-266.3 1607 1599 30.55% 28.14% 41.31%-0.13 +15.0 3
2017-04-02 Midtjylland W 3-267.4 1822 1753 51.35% 26.80% 21.86%+0.50 +5.6 3
2017-04-02 @ Brondby L 2-367.4 1753 1822 21.86% 26.80% 51.35%-0.50 -5.6 0
2017-04-02 Randers D 0-062.8 1578 1598 39.72% 28.23% 32.06%+0.08 -0.4 1
2017-04-02 @ Esbjerg D 0-062.8 1598 1578 32.06% 28.23% 39.72%-0.08 +0.4 1
2017-04-03 FC Copenhagen L 1-260.4 1698 1922 16.78% 24.96% 58.26%-0.89 -4.6 0
2017-04-03 @ Sonderjyske W 2-160.4 1922 1698 58.26% 24.96% 16.78%+0.89 +4.6 3
2017-04-07 Esbjerg W 3-049.0 1652 1578 52.00% 26.66% 21.34%+0.53 +16.8 4
2017-04-07 @ Odense L 0-349.0 1578 1652 21.34% 26.66% 52.00%-0.53 -16.8 1
2017-04-07 Horsens W 2-050.5 1598 1561 47.46% 27.49% 25.05%+0.35 +13.3 4
2017-04-07 @ Randers L 0-250.5 1561 1598 25.05% 27.49% 47.46%-0.35 -13.3 1
2017-04-08 Viborg L 0-160.6 1609 1584 45.83% 27.71% 26.46%+0.29 -11.2 1
2017-04-08 @ Aalborg W 1-060.6 1584 1609 26.46% 27.71% 45.83%-0.29 +11.2 3
2017-04-09 Brondby L 1-261.4 1644 1828 20.06% 26.27% 53.68%-0.69 -5.5 0
2017-04-09 @ Lyngby W 2-161.4 1828 1644 53.68% 26.27% 20.06%+0.69 +5.5 6
2017-04-09 Nordsjaelland D 1-173.9 1927 1678 69.74% 20.13% 10.13%+1.35 -3.3 4
2017-04-09 @ FC Copenhagen D 1-173.9 1678 1927 10.13% 20.13% 69.74%-1.35 +3.3 4
2017-04-09 Sonderjyske W 3-159.6 1748 1693 49.60% 27.14% 23.26%+0.43 +10.8 3
2017-04-09 @ Midtjylland L 1-359.6 1693 1748 23.26% 27.14% 49.60%-0.43 -10.8 0
2017-04-10 Silkeborg L 1-364.2 1622 1579 48.23% 27.37% 24.40%+0.38 -19.0 3
2017-04-10 @ Aarhus GF W 3-164.2 1579 1622 24.40% 27.37% 48.23%-0.38 +19.0 4
2017-04-14 Nordsjaelland L 1-462.7 1682 1681 42.65% 28.04% 29.31%+0.18 -24.4 0
2017-04-14 @ Sonderjyske W 4-162.7 1681 1682 29.31% 28.04% 42.65%-0.18 +24.4 7
2017-04-15 Horsens L 0-157.8 1561 1548 44.26% 27.89% 27.85%+0.24 -10.9 1
2017-04-15 @ Esbjerg W 1-057.8 1548 1561 27.85% 27.89% 44.26%-0.24 +10.9 4
2017-04-16 Midtjylland D 2-276.7 1639 1758 26.49% 27.72% 45.80%-0.39 +0.7 1
2017-04-16 @ Lyngby D 2-276.7 1758 1639 45.80% 27.72% 26.49%+0.39 -0.7 4
2017-04-17 Aarhus GF W 1-056.2 1598 1603 41.70% 28.11% 30.19%+0.15 +8.2 4
2017-04-17 @ Aalborg L 0-156.2 1603 1598 30.19% 28.11% 41.70%-0.15 -8.2 3
2017-04-17 FC Copenhagen L 0-159.7 1833 1923 30.04% 28.10% 41.86%-0.25 -8.1 6
2017-04-17 @ Brondby W 1-059.7 1923 1833 41.86% 28.10% 30.04%+0.25 +8.1 7
2017-04-17 Silkeborg D 0-063.2 1595 1598 42.11% 28.08% 29.81%+0.16 -0.7 4
2017-04-17 @ Viborg D 0-063.2 1598 1595 29.81% 28.08% 42.11%-0.16 +0.7 5
2017-04-18 Randers W 1-055.2 1669 1612 49.89% 27.08% 23.02%+0.44 +6.6 7
2017-04-18 @ Odense L 0-155.2 1612 1669 23.02% 27.08% 49.89%-0.44 -6.6 4
2017-04-21 Lyngby L 1-267.9 1658 1640 44.91% 27.82% 27.27%+0.26 -10.4 0
2017-04-21 @ Sonderjyske W 2-167.9 1640 1658 27.27% 27.82% 44.91%-0.26 +10.4 4
2017-04-21 Viborg L 1-265.5 1598 1594 43.05% 28.01% 28.94%+0.19 -10.0 5
2017-04-21 @ Silkeborg W 2-165.5 1594 1598 28.94% 28.01% 43.05%-0.19 +10.0 7
2017-04-22 Esbjerg L 1-360.5 1558 1550 43.65% 27.95% 28.40%+0.22 -17.6 4
2017-04-22 @ Horsens W 3-160.5 1550 1558 28.40% 27.95% 43.65%-0.22 +17.6 4
2017-04-23 Brondby L 0-158.2 1705 1825 26.45% 27.71% 45.84%-0.39 -7.4 7
2017-04-23 @ Nordsjaelland W 1-058.2 1825 1705 45.84% 27.71% 26.45%+0.39 +7.4 9
2017-04-23 Midtjylland W 3-156.2 1932 1758 62.79% 23.31% 13.91%+1.00 +6.6 10
2017-04-23 @ FC Copenhagen L 1-356.2 1758 1932 13.91% 23.31% 62.79%-1.00 -6.6 4
2017-04-23 Odense W 4-055.4 1605 1675 32.65% 28.25% 39.09%-0.16 +35.3 7
2017-04-23 @ Randers L 0-455.4 1675 1605 39.09% 28.25% 32.65%+0.16 -35.3 7
2017-04-24 Aalborg W 4-051.4 1595 1606 41.04% 28.16% 30.80%+0.12 +29.7 6
2017-04-24 @ Aarhus GF L 0-451.4 1606 1595 30.80% 28.16% 41.04%-0.12 -29.7 4
2017-04-28 Esbjerg D 0-064.0 1641 1567 51.85% 26.69% 21.46%+0.52 -1.8 8
2017-04-28 @ Randers D 0-064.0 1567 1641 21.46% 26.69% 51.85%-0.52 +1.8 5
2017-04-28 Horsens W 2-157.5 1640 1541 54.88% 25.96% 19.16%+0.64 +5.2 10
2017-04-28 @ Odense L 1-257.5 1541 1640 19.16% 25.96% 54.88%-0.64 -5.3 4
2017-04-29 Nordsjaelland W 3-159.7 1751 1698 49.41% 27.17% 23.42%+0.43 +10.9 7
2017-04-29 @ Midtjylland L 1-359.7 1698 1751 23.42% 27.17% 49.41%-0.43 -10.9 7
2017-04-30 Aalborg D 1-167.8 1604 1576 46.24% 27.66% 26.10%+0.31 -1.0 8
2017-04-30 @ Viborg D 1-167.8 1576 1604 26.10% 27.66% 46.24%-0.31 +1.0 5
2017-04-30 Lyngby W 3-045.5 1938 1650 73.00% 18.41% 8.59%+1.54 +6.4 13
2017-04-30 @ FC Copenhagen L 0-345.5 1650 1938 8.59% 18.41% 73.00%-1.54 -6.4 4
2017-04-30 Sonderjyske D 1-172.8 1833 1647 63.89% 22.85% 13.25%+1.05 -2.8 10
2017-04-30 @ Brondby D 1-172.8 1647 1833 13.25% 22.85% 63.89%-1.05 +2.8 1
2017-05-01 Aarhus GF L 0-255.7 1588 1625 37.40% 28.30% 34.30%+0.00 -18.0 5
2017-05-01 @ Silkeborg W 2-055.7 1625 1588 34.30% 28.30% 37.40%+0.00 +18.0 9
2017-05-05 FC Copenhagen D 1-172.9 1687 1945 14.57% 23.74% 61.69%-1.04 +2.6 8
2017-05-05 @ Nordsjaelland D 1-172.9 1945 1687 61.69% 23.74% 14.57%+1.04 -2.6 14
2017-05-07 Brondby W 4-268.8 1762 1830 32.98% 28.27% 38.75%-0.15 +14.3 10
2017-05-07 @ Midtjylland L 2-468.8 1830 1762 38.75% 28.27% 32.98%+0.15 -14.3 10
2017-05-07 Silkeborg L 0-158.8 1577 1570 43.40% 27.98% 28.62%+0.21 -10.7 5
2017-05-07 @ Aalborg W 1-058.8 1570 1577 28.62% 27.98% 43.40%-0.21 +10.7 8
2017-05-07 Sonderjyske W 2-054.9 1644 1650 41.59% 28.12% 30.29%+0.14 +15.4 7
2017-05-07 @ Lyngby L 0-254.9 1650 1644 30.29% 28.12% 41.59%-0.14 -15.4 1
2017-05-07 Viborg W 1-055.3 1643 1603 47.72% 27.45% 24.83%+0.36 +7.0 12
2017-05-07 @ Aarhus GF L 0-155.3 1603 1643 24.83% 27.45% 47.72%-0.36 -7.0 8
2017-05-08 Odense D 1-168.4 1569 1645 31.86% 28.22% 39.92%-0.19 +0.4 6
2017-05-08 @ Esbjerg D 1-168.4 1645 1569 39.92% 28.22% 31.86%+0.19 -0.4 11
2017-05-08 Randers W 2-165.2 1536 1639 28.42% 27.95% 43.63%-0.31 +10.1 7
2017-05-08 @ Horsens L 1-265.2 1639 1536 43.63% 27.95% 28.42%+0.31 -10.1 8
2017-05-12 Midtjylland W 5-267.1 1635 1776 24.07% 27.31% 48.63%-0.50 +23.5 4
2017-05-12 @ Sonderjyske L 2-567.1 1776 1635 48.63% 27.31% 24.07%+0.50 -23.5 10
2017-05-12 Nordsjaelland W 2-165.2 1659 1690 38.23% 28.28% 33.49%+0.03 +8.3 10
2017-05-12 @ Lyngby L 1-265.2 1690 1659 33.49% 28.28% 38.23%-0.03 -8.3 8
2017-05-14 Brondby W 1-054.9 1942 1815 57.92% 25.07% 17.02%+0.77 +5.0 17
2017-05-14 @ FC Copenhagen L 0-154.9 1815 1942 17.02% 25.07% 57.92%-0.77 -5.0 10
2017-05-16 Sonderjyske W 4-157.6 1681 1658 45.58% 27.74% 26.67%+0.28 +17.1 11
2017-05-16 @ Nordsjaelland L 1-457.6 1658 1681 26.67% 27.74% 45.58%-0.28 -17.1 4
2017-05-17 FC Copenhagen W 3-277.2 1753 1947 19.14% 25.95% 54.91%-0.74 +11.6 13
2017-05-17 @ Midtjylland L 2-377.2 1947 1753 54.91% 25.95% 19.14%+0.74 -11.6 17
2017-05-18 Lyngby L 0-264.1 1810 1667 59.66% 24.48% 15.86%+0.85 -26.2 10
2017-05-18 @ Brondby W 2-064.1 1667 1810 15.86% 24.48% 59.66%-0.85 +26.2 13
2017-05-20 Midtjylland L 2-370.9 1698 1764 33.22% 28.27% 38.50%-0.14 -7.8 11
2017-05-20 @ Nordsjaelland W 3-270.9 1764 1698 38.50% 28.27% 33.22%+0.14 +7.8 16
2017-05-21 Brondby W 3-059.7 1641 1784 23.90% 27.27% 48.83%-0.50 +32.2 7
2017-05-21 @ Sonderjyske L 0-359.7 1784 1641 48.83% 27.27% 23.90%+0.50 -32.2 10
2017-05-21 FC Copenhagen W 3-170.3 1694 1935 15.58% 24.33% 60.08%-0.97 +22.8 16
2017-05-21 @ Lyngby L 1-370.3 1935 1694 60.08% 24.33% 15.58%+0.97 -22.8 17
2017-05-28 Lyngby L 0-360.2 1772 1716 49.75% 27.11% 23.14%+0.44 -32.7 16
2017-05-28 @ Midtjylland W 3-060.2 1716 1772 23.14% 27.11% 49.75%-0.44 +32.7 19
2017-05-28 Nordsjaelland L 1-270.5 1752 1691 50.42% 26.98% 22.59%+0.47 -11.4 10
2017-05-28 @ Brondby W 2-170.5 1691 1752 22.59% 26.98% 50.42%-0.47 +11.4 14
2017-05-28 Sonderjyske W 2-048.5 1913 1673 68.89% 20.56% 10.55%+1.31 +5.6 20
2017-05-28 @ FC Copenhagen L 0-248.5 1673 1913 10.55% 20.56% 68.89%-1.31 -5.6 7

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Record
2017-05-12 Horsens W 3-047.8 1596 1546 49.09% 27.23% 23.69%+0.41 +18.4 1-0
2017-05-12 @ Viborg L 0-347.8 1546 1596 23.69% 27.23% 49.09%-0.41 -18.4 0-1
2017-05-12 Randers L 0-254.2 1566 1629 33.75% 28.29% 37.96%-0.12 -16.7 0-1
2017-05-12 @ Aalborg W 2-054.2 1629 1566 37.96% 28.29% 33.75%+0.12 +16.7 1-0
2017-05-13 Silkeborg W 3-156.9 1645 1581 50.72% 26.92% 22.36%+0.48 +10.4 1-0
2017-05-13 @ Odense L 1-356.9 1581 1645 22.36% 26.92% 50.72%-0.48 -10.4 0-1
2017-05-14 Aarhus GF D 0-063.8 1570 1650 31.30% 28.19% 40.52%-0.21 +0.5 0-0-1
2017-05-14 @ Esbjerg D 0-063.8 1650 1570 40.52% 28.19% 31.30%+0.21 -0.5 0-0-1
2017-05-16 Odense W 2-165.7 1571 1655 30.73% 28.15% 41.12%-0.23 +9.7 1-1
2017-05-16 @ Silkeborg L 1-265.7 1655 1571 41.12% 28.15% 30.73%+0.23 -9.7 1-1
2017-05-16 Viborg W 1-058.1 1527 1615 30.38% 28.13% 41.49%-0.24 +10.3 1-1
2017-05-16 @ Horsens L 0-158.1 1615 1527 41.49% 28.13% 30.38%+0.24 -10.3 1-1
2017-05-17 Aalborg W 2-157.9 1645 1550 54.48% 26.06% 19.46%+0.63 +5.3 2-0
2017-05-17 @ Randers L 1-257.9 1550 1645 19.46% 26.06% 54.48%-0.63 -5.3 0-2
2017-05-17 Esbjerg W 3-156.2 1649 1570 52.59% 26.53% 20.89%+0.55 +9.8 1-0-1
2017-05-17 @ Aarhus GF L 1-356.2 1570 1649 20.89% 26.53% 52.59%-0.55 -9.9 0-1-1
2017-05-20 Horsens D 1-165.4 1560 1538 45.51% 27.75% 26.74%+0.28 -1.0 0-1-2
2017-05-20 @ Esbjerg D 1-165.4 1538 1560 26.74% 27.75% 45.51%-0.28 +0.9 1-1-1
2017-05-20 Randers D 1-169.8 1646 1651 41.80% 28.11% 30.09%+0.15 -0.6 1-1-1
2017-05-20 @ Odense D 1-169.8 1651 1646 30.09% 28.11% 41.80%-0.15 +0.6 2-0-1
2017-05-22 Aarhus GF D 2-275.0 1604 1659 34.76% 28.31% 36.93%-0.09 +0.1 1-1-1
2017-05-22 @ Viborg D 2-275.0 1659 1604 36.93% 28.31% 34.76%+0.09 -0.1 1-0-2
2017-05-28 Esbjerg W 3-264.7 1539 1559 39.63% 28.23% 32.14%+0.08 +7.7 2-1-1
2017-05-28 @ Horsens L 2-364.7 1559 1539 32.14% 28.23% 39.63%-0.08 -7.7 0-2-2
2017-05-28 Viborg W 1-055.0 1659 1604 49.61% 27.13% 23.25%+0.43 +6.6 2-0-2
2017-05-28 @ Aarhus GF L 0-155.0 1604 1659 23.25% 27.13% 49.61%-0.43 -6.6 1-2-1
2017-05-29 Odense W 2-054.4 1651 1645 43.33% 27.98% 28.69%+0.20 +14.8 3-0-1
2017-05-29 @ Randers L 0-254.4 1645 1651 28.69% 27.98% 43.33%-0.20 -14.8 1-2-1
2017-05-31 Vendsyssel D 0-060.1 1546 1538 43.63% 27.95% 28.42%+0.21 -0.8 2-1-2
2017-05-31 @ Horsens D 0-060.1 1538 1546 28.42% 27.95% 43.63%-0.21 +0.9 0-0-1
2017-05-31 Viborg D 1-166.4 1539 1598 34.24% 28.30% 37.46%-0.10 +0.2 0-0-1
2017-05-31 @ Helsingor D 1-166.4 1598 1539 37.46% 28.30% 34.24%+0.10 -0.1 1-2-2
2017-06-01 Randers W 3-051.2 1740 1666 51.89% 26.68% 21.43%+0.52 +16.9 1-0
2017-06-01 @ Midtjylland L 0-351.2 1666 1740 21.43% 26.68% 51.89%-0.52 -16.9 3-1-1
2017-06-04 Helsingor D 2-272.6 1598 1539 50.05% 27.05% 22.90%+0.45 -1.1 1-2-3
2017-06-04 @ Viborg D 2-272.6 1539 1598 22.90% 27.05% 50.05%-0.45 +1.1 0-0-2
2017-06-04 Horsens L 1-359.1 1539 1545 41.57% 28.12% 30.31%+0.14 -16.9 0-1-1
2017-06-04 @ Vendsyssel W 3-159.1 1545 1539 30.31% 28.12% 41.57%-0.14 +16.9 3-1-2

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 2017-03-05 12.00% Nordsjaelland 1614 3 @ Brondby 1823 2
2 2016-09-18 12.53% Viborg 1612 2 @ Brondby 1811 1
3 2016-12-04 15.13% Aarhus GF 1625 1 @ Midtjylland 1779 0
4 2016-12-11 15.53% Esbjerg 1540 2 @ Randers 1688 0
5 2017-05-21 15.58% @ Lyngby 1694 3 FC Copenhagen 1935 1
6 2017-05-18 15.86% Lyngby 1667 2 @ Brondby 1810 0
7 2016-11-20 16.74% @ Odense 1586 1 Brondby 1811 0
8 2017-03-19 17.84% Nordsjaelland 1650 2 @ Midtjylland 1766 1
9 2016-12-01 18.39% @ Silkeborg 1588 2 Midtjylland 1792 1
10 2016-07-31 18.51% Lyngby 1593 1 @ Sonderjyske 1700 0
11 2017-05-17 19.14% @ Midtjylland 1753 3 FC Copenhagen 1947 2
12 2016-09-22 20.76% @ Lyngby 1621 1 Brondby 1797 0
13 2016-11-18 21.53% Horsens 1591 1 @ Lyngby 1663 0
14 2016-09-26 21.55% @ Silkeborg 1541 5 Aalborg 1708 3
15 2016-08-28 21.61% Horsens 1593 1 @ Odense 1665 0
16 2016-12-01 21.72% Esbjerg 1525 1 @ Odense 1596 0
17 2017-05-28 22.59% Nordsjaelland 1691 2 @ Brondby 1752 1
18 2017-05-28 23.14% Lyngby 1716 3 @ Midtjylland 1772 0
19 2016-07-17 23.26% Aarhus GF 1658 2 @ Sonderjyske 1712 1
20 2016-10-21 23.35% Silkeborg 1554 3 @ Viborg 1608 1
21 2016-11-04 23.41% @ Esbjerg 1512 3 Aalborg 1660 0
22 2017-02-17 23.65% @ Esbjerg 1567 3 Sonderjyske 1712 0
23 2016-10-02 23.77% @ Lyngby 1644 1 Midtjylland 1789 0
24 2017-05-21 23.90% @ Sonderjyske 1641 3 Brondby 1784 0
25 2016-12-04 23.98% Odense 1583 1 @ Nordsjaelland 1631 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 2016-08-21 49.51 Brondby 7 1754 41.70% @ Aarhus GF 0 1665 30.19% 28.11%
2 2016-09-25 40.72 Sonderjyske 4 1676 25.56% @ Randers 0 1709 46.87% 27.58%
3 2016-07-15 38.88 Nordsjaelland 4 1631 27.86% @ Viborg 0 1644 44.25% 27.89%
4 2016-08-05 36.78 Lyngby 4 1606 30.66% @ Silkeborg 0 1597 41.20% 28.15%
5 2017-04-23 35.35 @ Randers 4 1605 32.65% Odense 0 1675 39.09% 28.25%
6 2017-05-28 32.72 Lyngby 3 1716 23.14% @ Midtjylland 0 1772 49.75% 27.11%
7 2016-11-04 32.54 @ Esbjerg 3 1512 23.41% Aalborg 0 1660 49.42% 27.17%
8 2017-02-17 32.39 @ Esbjerg 3 1567 23.65% Sonderjyske 0 1712 49.13% 27.22%
9 2017-05-21 32.22 @ Sonderjyske 3 1641 23.90% Brondby 0 1784 48.83% 27.27%
10 2016-11-25 31.28 Aarhus GF 5 1604 29.62% @ Horsens 1 1603 42.31% 28.07%
11 2016-07-24 31.25 Midtjylland 4 1737 38.71% @ Nordsjaelland 0 1670 33.02% 28.27%
12 2017-03-06 30.96 @ Odense 4 1622 39.16% Aalborg 0 1646 32.59% 28.25%
13 2017-04-24 29.67 @ Aarhus GF 4 1595 41.04% Aalborg 0 1606 30.80% 28.16%
14 2016-08-21 28.35 Viborg 5 1599 34.57% @ Silkeborg 1 1561 37.12% 28.30%
15 2016-12-09 28.34 @ Horsens 3 1555 30.32% Aalborg 0 1643 41.56% 28.12%
16 2017-02-20 26.77 @ Odense 3 1595 33.19% Randers 0 1662 38.54% 28.27%
17 2016-12-11 26.39 Esbjerg 2 1540 15.53% @ Randers 0 1688 60.16% 24.31%
18 2017-05-18 26.21 Lyngby 2 1667 15.86% @ Brondby 0 1810 59.66% 24.48%
19 2016-08-14 24.95 @ Brondby 4 1729 47.83% Sonderjyske 0 1688 24.73% 27.43%
20 2017-04-14 24.39 Nordsjaelland 4 1681 29.31% @ Sonderjyske 1 1682 42.65% 28.04%
21 2017-05-12 23.45 @ Sonderjyske 5 1635 24.07% Midtjylland 2 1776 48.63% 27.31%
22 2017-05-21 22.83 @ Lyngby 3 1694 15.58% FC Copenhagen 1 1935 60.08% 24.33%
23 2017-03-10 22.22 @ Nordsjaelland 5 1628 45.40% Silkeborg 1 1606 26.83% 27.77%
24 2016-07-17 21.36 @ Brondby 4 1693 52.90% Esbjerg 0 1611 20.64% 26.45%
25 2017-02-26 20.88 @ Aalborg 3 1625 44.52% Silkeborg 0 1610 27.61% 27.86%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-08-07 81.2 @ Midtjylland 3 1780 49.33% Brondby 3 1728 23.49% 27.19%
2 2017-03-05 78.7 Nordsjaelland 3 1614 12.00% @ Brondby 2 1823 66.13% 21.87%
3 2016-10-02 77.9 @ Brondby 2 1797 58.07% Randers 2 1669 16.92% 25.02%
4 2016-08-21 77.5 @ Midtjylland 2 1768 55.48% Sonderjyske 2 1663 18.73% 25.79%
5 2016-09-21 77.4 @ Randers 2 1708 25.56% FC Copenhagen 2 1836 46.87% 27.57%
6 2017-05-17 77.2 @ Midtjylland 3 1753 19.14% FC Copenhagen 2 1947 54.91% 25.95%
7 2016-07-18 77.0 @ Midtjylland 2 1738 50.11% Randers 2 1679 22.85% 27.04%
8 2016-07-31 76.9 @ Brondby 2 1730 59.43% Horsens 2 1589 16.01% 24.56%
9 2017-04-16 76.7 @ Lyngby 2 1639 26.49% Midtjylland 2 1758 45.80% 27.72%
10 2016-08-01 76.5 @ Aalborg 2 1702 47.52% Odense 2 1664 25.00% 27.48%
11 2016-08-13 76.4 @ Horsens 3 1585 45.79% Silkeborg 3 1560 26.50% 27.72%
12 2016-11-26 75.8 @ Viborg 2 1573 23.67% Sonderjyske 2 1718 49.10% 27.23%
13 2016-07-24 75.0 @ Lyngby 2 1593 32.44% Odense 2 1665 39.31% 28.24%
14 2017-05-22 * 75.0 @ Viborg 2 1604 34.76% Aarhus GF 2 1659 36.93% 28.31%
15 2016-09-11 74.7 @ Sonderjyske 2 1663 58.78% Silkeborg 2 1528 16.43% 24.78%
16 2016-08-08 74.5 @ Esbjerg 2 1562 28.43% Aarhus GF 2 1665 43.61% 27.96%
17 2017-04-09 73.9 @ FC Copenhagen 1 1927 69.74% Nordsjaelland 1 1678 10.13% 20.13%
18 2016-10-17 73.8 @ Esbjerg 2 1534 26.23% Lyngby 2 1656 46.10% 27.68%
19 2016-09-18 73.5 Viborg 2 1612 12.53% @ Brondby 1 1811 65.17% 22.30%
20 2016-09-30 73.2 @ Silkeborg 2 1558 34.55% Nordsjaelland 2 1615 37.15% 28.30%
21 2017-02-26 73.1 @ Nordsjaelland 1 1611 12.34% FC Copenhagen 1 1908 65.50% 22.16%
22 2017-05-05 72.9 @ Nordsjaelland 1 1687 14.57% FC Copenhagen 1 1945 61.69% 23.74%
23 2017-04-30 72.8 @ Brondby 1 1833 63.89% Sonderjyske 1 1647 13.25% 22.85%
24 2016-11-27 72.7 @ Esbjerg 2 1525 28.72% Nordsjaelland 2 1625 43.29% 27.99%
25 2017-06-04 * 72.6 @ Viborg 2 1598 50.05% Helsingor 2 1539 22.90% 27.05%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-11-29 44.1 @ FC Copenhagen 4 1896 75.66% Viborg 0 1573 7.43% 16.91%
2 2017-03-05 44.5 @ FC Copenhagen 5 1905 76.17% Horsens 0 1576 7.21% 16.62%
3 2017-04-30 45.5 @ FC Copenhagen 3 1938 73.00% Lyngby 0 1650 8.59% 18.41%
4 2017-03-12 46.0 @ FC Copenhagen 2 1914 76.33% Esbjerg 0 1582 7.15% 16.52%
5 2016-09-09 46.7 @ Midtjylland 3 1765 64.83% Esbjerg 0 1570 12.72% 22.45%
6 2016-10-15 46.7 @ FC Copenhagen 2 1839 72.39% Silkeborg 0 1558 8.87% 18.74%
7 2017-05-12 * 47.8 @ Viborg 3 1596 49.09% Horsens 0 1546 23.69% 27.23%
8 2016-11-21 47.9 @ Silkeborg 3 1574 46.43% Esbjerg 0 1544 25.94% 27.64%
9 2016-07-31 48.1 @ Midtjylland 3 1768 61.39% Silkeborg 0 1609 14.75% 23.85%
10 2016-07-16 48.2 @ FC Copenhagen 3 1760 60.92% Lyngby 0 1605 15.05% 24.03%
11 2016-07-30 48.4 @ FC Copenhagen 4 1793 60.85% Nordsjaelland 0 1638 15.10% 24.06%
12 2016-09-24 48.5 @ FC Copenhagen 2 1835 67.25% Aarhus GF 0 1614 11.40% 21.35%
13 2017-05-28 48.5 @ FC Copenhagen 2 1913 68.89% Sonderjyske 0 1673 10.55% 20.56%
14 2016-09-25 48.6 @ Brondby 3 1784 60.82% Odense 0 1630 15.11% 24.07%
15 2016-09-25 48.8 @ Nordsjaelland 3 1595 47.13% Esbjerg 0 1560 25.33% 27.54%
16 2017-04-07 49.0 @ Odense 3 1652 52.00% Esbjerg 0 1578 21.34% 26.66%
17 2016-10-23 49.1 FC Copenhagen 3 1844 59.58% @ Odense 0 1607 15.91% 24.51%
18 2016-11-06 49.1 @ FC Copenhagen 4 1871 60.07% Sonderjyske 0 1724 15.59% 24.34%
19 2016-07-17 49.6 @ Brondby 4 1693 52.90% Esbjerg 0 1611 20.64% 26.45%
20 2016-07-23 50.0 FC Copenhagen 4 1772 53.60% @ Esbjerg 0 1589 20.12% 26.29%
21 2016-09-10 50.2 @ FC Copenhagen 2 1818 61.99% Odense 0 1652 14.39% 23.62%
22 2017-03-12 50.2 Brondby 2 1810 60.09% @ Horsens 0 1568 15.58% 24.33%
23 2017-04-07 50.5 @ Randers 2 1598 47.46% Horsens 0 1561 25.05% 27.49%
24 2016-08-26 50.8 @ Randers 1 1694 61.58% Silkeborg 0 1532 14.64% 23.78%
25 2016-10-16 51.2 @ Randers 3 1670 48.37% Odense 0 1625 24.28% 27.35%