Home / Leagues / Denmark / Superliga / 2017-18

2017-18 Superliga Season

236 games · 11 promotion-playoff teams · 100,000 simulations

Final

Champion

Midtjylland

85 points

Relegated

No relegation

Biggest Overachiever

Midtjylland

7.16 points above expected

85 points · 77.84 expected points

Biggest Disappointment

Lyngby

6.53 points below expected

23 points · 29.53 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 Brondby 26 18 6 2 60 58 24 +34 46.3 +13.74
2 Midtjylland 26 19 3 4 60 60 29 +31 45.5 +14.49
3 Nordsjaelland 26 15 5 6 50 62 41 +21 42.1 +7.86
4 FC Copenhagen 26 13 5 8 44 50 33 +17 47.6 -3.62
5 Aalborg 26 8 12 6 36 28 27 +1 31.2 +4.82
6 Horsens 26 7 14 5 35 32 34 -2 31.9 +3.14
7 Hobro 26 8 8 10 32 33 33 0 32.4 -0.37
8 Sonderjyske 26 8 7 11 31 36 34 +2 36.7 -5.68
9 Odense 26 8 7 11 31 32 31 +1 35.5 -4.45
10 Aarhus GF 26 7 8 11 29 23 36 -13 31.9 -2.90
11 Silkeborg 26 8 4 14 28 32 49 -17 28.0 -0.04
12 Lyngby 26 4 9 13 21 31 53 -22 32.5 -11.51
13 Randers 26 4 8 14 20 23 46 -23 30.7 -10.68
14 Helsingor 26 6 2 18 20 22 52 -30 23.9 -3.92
# Team GP W D L Pts GF GA GD SimPts vsSim
1 Midtjylland 36 27 4 5 85 80 39 +41 77.8 +7.16
2 Brondby 36 24 9 3 81 82 37 +45 78.2 +2.82
3 Nordsjaelland 36 17 8 11 59 76 58 +18 63.7 -4.67
4 FC Copenhagen 36 17 7 12 58 65 47 +18 59.1 -1.14
5 Aalborg 36 10 15 11 45 38 44 -6 45.3 -0.34
6 Horsens 36 8 16 12 40 43 57 -14 42.9 -2.94
7 Hobro 32 12 8 12 44 41 39 +2 43.1 +0.92
8 Odense 32 11 9 12 42 43 37 +6 41.0 +1.03
9 Sonderjyske 32 11 8 13 41 42 40 +2 43.7 -2.73
10 Aarhus GF 32 11 8 13 41 35 43 -8 38.4 +2.61
11 Silkeborg 32 9 5 18 32 39 60 -21 37.1 -5.06
12 Randers 32 7 9 16 30 32 52 -20 28.7 +1.31
13 Helsingor 32 8 3 21 27 28 61 -33 26.4 +0.64
14 Lyngby 32 4 11 17 23 35 65 -30 29.5 -6.53

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.

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The full Promotion / Relegation tab has matchup heatmaps and round-by-round simulation outcomes.

Quarterfinals

Randers 3
Helsingor 2

Leg 1: Randers 2-1 Helsingor

Leg 2: Helsingor 1-1 Randers

Lyngby 4
Silkeborg 3

Leg 1: Silkeborg 2-2 Lyngby

Leg 2: Lyngby 2-1 Silkeborg

Sonderjyske 3
Hobro 3

Leg 1: Hobro 3-2 Sonderjyske

Leg 2: Sonderjyske 1-0 Hobro

Aarhus GF 6
Odense 4

Leg 1: Odense 2-3 Aarhus GF

Leg 2: Aarhus GF 3-2 Odense

Semifinals

Silkeborg 5
Helsingor 4

Leg 1: Helsingor 1-1 Silkeborg

Leg 2: Silkeborg 4-3 Helsingor

Randers 4
Lyngby 2

Leg 1: Lyngby 1-2 Randers

Leg 2: Randers 2-1 Lyngby

Aarhus GF 4
Sonderjyske 2

Leg 1: Aarhus GF 2-2 Sonderjyske

Leg 2: Sonderjyske 0-2 Aarhus GF

Finals

Esbjerg 3
Silkeborg 1

Leg 1: Silkeborg 1-0 Esbjerg

Leg 2: Esbjerg 3-0 Silkeborg

Vendsyssel 3
Lyngby 1

Leg 1: Vendsyssel 1-0 Lyngby

Leg 2: Lyngby 1-2 Vendsyssel

FC Copenhagen 4
Aarhus GF 1

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
Midtjylland 1879 85 45.51 +39.49 99.2% 21 35 41 46 50 56 69
Brondby 1866 81 46.26 +34.74 98.8% 21 36 42 46 51 57 67
FC Copenhagen 1785 58 47.62 +10.38 31.1% 20 37 43 48 52 58 69
Nordsjaelland 1742 59 42.14 +16.86 90.6% 18 32 38 42 46 53 66
Aarhus GF 1654 41 31.90 +9.10 35.6% 12 22 28 32 36 42 55
Sonderjyske 1654 41 36.68 +4.32 20.9% 14 26 32 37 41 47 61
Odense 1642 42 35.45 +6.55 26.8% 12 25 31 35 40 46 59
Aalborg 1639 45 31.18 +13.82 80.6% 7 21 27 31 35 42 54
Hobro 1635 44 32.37 +11.63 51.4% 9 22 28 32 37 43 56
Randers 1617 30 30.68 -0.68 4.7% 8 21 26 31 35 41 57
Horsens 1598 40 31.86 +8.14 72.7% 10 22 28 32 36 42 57
Silkeborg 1546 32 28.04 +3.96 54.0% 8 18 24 28 32 38 50
Lyngby 1513 23 32.51 -9.51 3.7% 11 22 28 32 37 43 57
Helsingor 1494 27 23.92 +3.08 28.9% 5 15 20 24 28 34 47

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 FC HEL HOB HOR LYN MID NOR ODE RAN SIL SON
Aalborg
0-2-0
2.64
0-3-1
3.02
1-2-1
3.34
2-0-0
3.38
1-1-0
2.47
1-2-1
5.50
2-0-0
2.57
0-1-3
3.12
0-2-2
3.80
0-1-1
2.31
1-1-0
2.97
1-0-1
2.90
1-0-1
2.32
Aarhus GF
0-2-0
2.74
1-1-0
1.70
0-0-2
1.63
2-1-1
6.98
3-0-1
5.38
0-1-1
2.82
0-1-1
2.71
0-0-2
1.85
1-0-1
2.03
1-1-0
2.39
0-0-2
2.84
3-0-1
6.10
0-1-1
2.24
Brondby
1-3-0
8.09
0-1-1
3.84
3-1-0
5.63
2-0-0
4.60
2-0-0
3.74
2-2-0
8.28
2-0-0
3.67
3-0-1
5.43
3-0-1
6.73
1-1-0
3.60
1-1-0
3.71
2-0-0
4.16
2-0-0
3.27
FC Copenhagen
1-2-1
7.69
2-0-0
3.89
0-1-3
5.18
2-0-0
4.41
1-1-0
3.95
2-2-0
7.94
1-0-1
3.83
1-0-3
4.93
1-1-2
6.09
1-0-1
3.58
2-0-0
3.78
2-0-0
4.11
1-0-1
3.51
Helsingor
0-0-2
2.06
1-1-2
3.93
0-0-2
1.09
0-0-2
1.24
0-0-4
4.06
0-0-2
2.04
1-0-1
2.13
1-0-1
1.55
1-0-1
1.36
0-0-2
2.04
1-1-0
2.17
2-1-1
4.53
1-0-1
1.66
Hobro
0-1-1
2.96
1-0-3
5.47
0-0-2
1.79
0-1-1
1.60
4-0-0
6.80
0-2-0
2.75
2-0-0
2.64
0-0-2
1.76
1-0-1
1.94
0-1-1
2.65
1-1-0
2.71
2-1-1
6.17
1-1-0
2.61
Horsens
1-2-1
5.31
1-1-0
2.61
0-2-2
2.87
0-2-2
3.14
2-0-0
3.39
0-2-0
2.66
1-1-0
2.65
0-0-4
2.89
0-2-2
3.75
0-1-1
2.58
1-1-0
2.94
1-1-0
3.05
1-1-0
2.19
Lyngby
0-0-2
2.83
1-1-0
2.69
0-0-2
1.79
1-0-1
1.67
1-0-1
3.28
0-0-2
2.74
0-1-1
2.73
0-2-0
1.93
0-1-1
2.36
0-2-2
4.52
0-1-3
5.38
1-1-0
3.02
0-2-2
3.98
Midtjylland
3-1-0
7.96
2-0-0
3.66
1-0-3
5.38
3-0-1
5.93
1-0-1
4.03
2-0-0
3.71
4-0-0
8.26
0-2-0
3.52
3-1-0
6.29
2-0-0
3.29
2-0-0
3.66
2-0-0
3.91
2-0-0
3.61
Nordsjaelland
2-2-0
7.11
1-0-1
3.42
1-0-3
4.16
2-1-1
4.72
1-0-1
4.24
1-0-1
3.51
2-2-0
7.18
1-1-0
3.06
0-1-3
4.54
2-0-0
3.08
2-0-0
3.82
2-0-0
3.78
0-1-1
3.13
Odense
1-1-0
3.11
0-1-1
3.04
0-1-1
1.90
1-0-1
1.88
2-0-0
3.42
1-1-0
2.74
1-1-0
2.83
2-2-0
6.34
0-0-2
2.17
0-0-2
2.35
2-1-1
6.50
0-0-2
3.27
1-1-2
5.23
Randers
0-1-1
2.46
2-0-0
2.58
0-1-1
1.79
0-0-2
1.73
0-1-1
3.26
0-1-1
2.66
0-1-1
2.48
3-1-0
5.42
0-0-2
1.81
0-0-2
1.67
1-1-2
4.33
0-1-1
2.96
1-1-2
4.31
Silkeborg
1-0-1
2.48
1-0-3
4.71
0-0-2
1.42
0-0-2
1.46
1-1-2
6.29
1-1-2
4.66
0-1-1
2.35
0-1-1
2.40
0-0-2
1.61
0-0-2
1.73
2-0-0
2.17
1-1-0
2.43
2-0-0
2.03
Sonderjyske
1-0-1
3.10
1-1-0
3.16
0-0-2
2.15
1-0-1
1.94
1-0-1
3.84
0-1-1
2.77
0-1-1
3.22
2-2-0
6.95
0-0-2
1.88
1-1-0
2.27
2-1-1
5.58
2-1-1
6.53
0-0-2
3.43

Goal Differential vs Points

Each team plotted by their final goal differential (x) and final point total (y). Teams above the broad trend (more points than their GD would suggest) were efficient at narrow wins; teams below took more lopsided losses than their results imply.

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
08.05%7.63%4.66%3.18%1.91%0.21%25.64%
17.63%11.86%7.20%4.24%2.33%1.48%34.75%
24.66%7.20%5.08%2.54%0.64%0.21%20.34%
33.18%4.24%2.54%0.42%0.85%0.21%11.44%
41.91%2.33%0.64%0.85%5.72%
5+0.21%1.48%0.21%0.21%2.12%
Total25.64%34.75%20.34%11.44%5.72%2.12%100%

Summary Statistics

Mean scored1.44
Mean allowed1.44
StdDev scored1.28
StdDev allowed1.28
Mean total goals/game2.88
Correlation (home vs away score)-0.041
Sample size (games)236
↓ Scored | Allowed →012345+Total
016.67%2.78%2.78%5.56%27.78%
113.89%22.22%5.56%2.78%5.56%50.00%
22.78%5.56%5.56%13.89%
32.78%2.78%5.56%
42.78%2.78%
5+
Total36.11%33.33%8.33%16.67%5.56%100%

Aalborg — Summary Statistics

Mean scored1.06
Mean allowed1.22
StdDev scored0.95
StdDev allowed1.27
Mean total goals/game2.28
Correlation (scored vs allowed)0.108
Games played36
↓ Scored | Allowed →012345+Total
018.75%12.50%3.12%6.25%6.25%46.88%
16.25%3.12%6.25%6.25%21.88%
26.25%9.38%3.12%18.75%
36.25%6.25%
4
5+3.12%3.12%6.25%
Total31.25%34.38%15.62%6.25%12.50%100%

Aarhus GF — Summary Statistics

Mean scored1.09
Mean allowed1.34
StdDev scored1.40
StdDev allowed1.33
Mean total goals/game2.44
Correlation (scored vs allowed)-0.052
Games played32
↓ Scored | Allowed →012345+Total
05.56%2.78%2.78%11.11%
111.11%13.89%25.00%
22.78%11.11%5.56%2.78%22.22%
32.78%13.89%2.78%19.44%
45.56%2.78%2.78%2.78%13.89%
5+5.56%2.78%8.33%
Total27.78%50.00%13.89%8.33%100%

Brondby — Summary Statistics

Mean scored2.28
Mean allowed1.03
StdDev scored1.54
StdDev allowed0.88
Mean total goals/game3.31
Correlation (scored vs allowed)0.290
Games played36
↓ Scored | Allowed →012345+Total
05.56%11.11%2.78%5.56%25.00%
15.56%13.89%2.78%8.33%30.56%
22.78%5.56%2.78%11.11%
32.78%2.78%5.56%11.11%
48.33%2.78%5.56%16.67%
5+5.56%5.56%
Total25.00%41.67%11.11%22.22%100%

FC Copenhagen — Summary Statistics

Mean scored1.81
Mean allowed1.31
StdDev scored1.62
StdDev allowed1.09
Mean total goals/game3.11
Correlation (scored vs allowed)-0.095
Games played36
↓ Scored | Allowed →012345+Total
09.38%18.75%9.38%3.12%40.62%
16.25%12.50%3.12%6.25%9.38%37.50%
26.25%9.38%15.62%
33.12%3.12%6.25%
4
5+
Total21.88%28.12%25.00%3.12%12.50%9.38%100%

Helsingor — Summary Statistics

Mean scored0.88
Mean allowed1.91
StdDev scored0.91
StdDev allowed1.75
Mean total goals/game2.78
Correlation (scored vs allowed)0.135
Games played32
↓ Scored | Allowed →012345+Total
06.25%6.25%9.38%3.12%25.00%
112.50%15.62%9.38%3.12%3.12%43.75%
26.25%3.12%3.12%3.12%15.62%
36.25%3.12%9.38%
43.12%3.12%6.25%
5+
Total34.38%28.12%25.00%9.38%3.12%100%

Hobro — Summary Statistics

Mean scored1.28
Mean allowed1.22
StdDev scored1.14
StdDev allowed1.21
Mean total goals/game2.50
Correlation (scored vs allowed)-0.209
Games played32
↓ Scored | Allowed →012345+Total
05.56%8.33%8.33%2.78%25.00%
15.56%22.22%2.78%2.78%2.78%36.11%
25.56%8.33%16.67%2.78%2.78%36.11%
3
42.78%2.78%
5+
Total16.67%41.67%27.78%2.78%5.56%5.56%100%

Horsens — Summary Statistics

Mean scored1.19
Mean allowed1.58
StdDev scored0.92
StdDev allowed1.38
Mean total goals/game2.78
Correlation (scored vs allowed)-0.024
Games played36
↓ Scored | Allowed →012345+Total
06.25%6.25%3.12%9.38%25.00%
118.75%6.25%15.62%6.25%3.12%50.00%
23.12%3.12%9.38%15.62%
36.25%3.12%9.38%
4
5+
Total9.38%34.38%18.75%25.00%6.25%6.25%100%

Lyngby — Summary Statistics

Mean scored1.09
Mean allowed2.03
StdDev scored0.89
StdDev allowed1.36
Mean total goals/game3.12
Correlation (scored vs allowed)0.051
Games played32
↓ Scored | Allowed →012345+Total
02.78%2.78%5.56%
113.89%5.56%2.78%22.22%
211.11%19.44%2.78%2.78%36.11%
35.56%5.56%2.78%2.78%2.78%19.44%
45.56%2.78%2.78%2.78%13.89%
5+2.78%2.78%
Total36.11%38.89%11.11%8.33%5.56%100%

Midtjylland — Summary Statistics

Mean scored2.22
Mean allowed1.08
StdDev scored1.20
StdDev allowed1.16
Mean total goals/game3.31
Correlation (scored vs allowed)0.069
Games played36
↓ Scored | Allowed →012345+Total
05.56%2.78%2.78%11.11%
12.78%5.56%13.89%2.78%25.00%
28.33%11.11%2.78%22.22%
35.56%8.33%11.11%5.56%30.56%
45.56%2.78%8.33%
5+2.78%2.78%
Total16.67%30.56%38.89%2.78%11.11%100%

Nordsjaelland — Summary Statistics

Mean scored2.11
Mean allowed1.61
StdDev scored1.35
StdDev allowed1.15
Mean total goals/game3.72
Correlation (scored vs allowed)-0.082
Games played36
↓ Scored | Allowed →012345+Total
09.38%9.38%6.25%3.12%28.12%
16.25%12.50%12.50%3.12%3.12%37.50%
26.25%3.12%6.25%15.62%
39.38%6.25%15.62%
4
5+3.12%3.12%
Total31.25%34.38%25.00%6.25%3.12%100%

Odense — Summary Statistics

Mean scored1.34
Mean allowed1.16
StdDev scored1.33
StdDev allowed1.05
Mean total goals/game2.50
Correlation (scored vs allowed)-0.201
Games played32
↓ Scored | Allowed →012345+Total
015.62%6.25%9.38%9.38%6.25%46.88%
13.12%12.50%3.12%6.25%3.12%28.12%
23.12%6.25%9.38%
33.12%6.25%9.38%
46.25%6.25%
5+
Total25.00%31.25%12.50%21.88%6.25%3.12%100%

Randers — Summary Statistics

Mean scored1.00
Mean allowed1.62
StdDev scored1.24
StdDev allowed1.41
Mean total goals/game2.62
Correlation (scored vs allowed)-0.166
Games played32
↓ Scored | Allowed →012345+Total
03.12%6.25%9.38%3.12%21.88%
19.38%9.38%12.50%12.50%3.12%46.88%
23.12%6.25%3.12%3.12%3.12%3.12%21.88%
36.25%6.25%
43.12%3.12%
5+
Total15.62%25.00%31.25%15.62%9.38%3.12%100%

Silkeborg — Summary Statistics

Mean scored1.22
Mean allowed1.88
StdDev scored0.97
StdDev allowed1.31
Mean total goals/game3.09
Correlation (scored vs allowed)0.047
Games played32
↓ Scored | Allowed →012345+Total
06.25%12.50%3.12%3.12%25.00%
19.38%9.38%12.50%3.12%34.38%
26.25%6.25%9.38%6.25%28.12%
39.38%9.38%
43.12%3.12%
5+
Total31.25%31.25%21.88%12.50%3.12%100%

Sonderjyske — Summary Statistics

Mean scored1.31
Mean allowed1.25
StdDev scored1.06
StdDev allowed1.14
Mean total goals/game2.56
Correlation (scored vs allowed)-0.174
Games played32

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 Midtjylland 85 77.8 +7.16
2 Brondby 81 78.2 +2.82
3 Aarhus GF 41 38.4 +2.61
4 Randers 30 28.7 +1.31
5 Odense 42 41.0 +1.03

Biggest Disappointments

# Team Actual Sim vsSim
1 Lyngby 23 29.5 -6.53
2 Silkeborg 32 37.1 -5.06
3 Nordsjaelland 59 63.7 -4.67
4 Horsens 40 42.9 -2.94
5 Sonderjyske 41 43.7 -2.73

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.

Longest Winning Streaks

# Team Games Dates Probability
1 Brondby 9 Sep 24 – Dec 3 1 in 652
2 Midtjylland 8 Nov 3 – Feb 25 1 in 86
3 Nordsjaelland 4 Jul 17 – Aug 6 1 in 56
4 Silkeborg 3 Dec 3 – Feb 10 1 in 45
5 Sonderjyske 3 Nov 5 – Nov 24 1 in 42

Longest Losing Streaks

# Team Games Dates Probability
1 Lyngby 5 Nov 19 – Feb 11 1 in 187
2 Helsingor 6 Sep 10 – Oct 22 1 in 56
3 Aarhus GF 4 Oct 16 – Nov 5 1 in 35
4 Silkeborg 4 Mar 18 – Apr 16 1 in 34
5 Odense 3 Mar 4 – Mar 18 1 in 26

Longest Unbeaten Streaks

# Team Games Dates Probability
1 Brondby 27 Aug 27 – May 6 1 in 1,265
2 Aarhus GF 6 Dec 1 – Feb 27 1 in 48
3 Aalborg 7 Aug 6 – Sep 24 1 in 40
4 Hobro 6 Jul 29 – Sep 8 1 in 31
5 Midtjylland 14 Sep 17 – Feb 25 1 in 28

Longest Winless Streaks

# Team Games Dates Probability
1 Lyngby 20 Oct 22 – Apr 29 1 in 1,684
2 Sonderjyske 10 Aug 12 – Oct 29 1 in 64
3 Horsens 11 Feb 23 – Apr 27 1 in 35
4 Brondby 4 May 6 – May 21 1 in 32
5 Randers 9 Nov 24 – Mar 11 1 in 24

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.

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).

Team1234567891011121314
Midtjylland23.96%22.87%19.10%12.85%8.13%5.11%3.21%2.31%1.12%0.77%0.36%0.10%0.07%0.04%
Brondby27.59%24.20%18.29%12.27%7.52%3.90%2.40%1.83%0.76%0.58%0.36%0.17%0.12%0.01%
Nordsjaelland9.86%14.69%18.04%18.07%13.21%8.44%6.03%4.32%2.82%1.90%1.32%0.78%0.37%0.15%
FC Copenhagen33.32%24.54%17.76%10.71%6.12%3.19%2.03%0.98%0.75%0.36%0.16%0.04%0.04%
Aalborg0.28%0.84%2.07%3.52%5.59%7.52%8.96%10.59%10.76%11.68%11.66%10.18%9.90%6.45%
Horsens0.35%1.07%2.34%3.97%6.32%8.47%9.76%10.51%10.90%11.45%10.82%9.74%8.69%5.61%
Hobro0.46%1.02%2.52%5.11%7.55%9.28%10.39%10.41%10.66%10.43%10.23%9.40%7.44%5.10%
Odense1.25%3.08%5.63%9.17%11.89%12.49%12.19%10.62%9.76%7.51%6.11%5.24%3.35%1.71%
Sonderjyske1.89%4.52%7.45%11.18%13.61%12.99%11.43%9.53%7.84%6.80%4.80%4.19%2.82%0.95%
Aarhus GF0.30%0.96%1.83%4.21%6.12%8.28%9.21%10.68%11.01%10.86%11.23%10.75%9.05%5.51%
Silkeborg0.09%0.17%0.57%1.14%2.50%3.67%5.06%6.36%8.49%10.42%11.88%15.33%18.03%16.29%
Randers0.20%0.69%1.53%2.76%4.63%6.54%7.93%8.97%10.94%10.61%12.06%12.28%11.86%9.00%
Helsingor0.04%0.16%0.35%0.43%1.07%1.70%2.59%3.82%5.46%8.44%11.91%20.06%43.97%
Lyngby0.45%1.31%2.71%4.69%6.38%9.05%9.70%10.30%10.37%11.17%10.57%9.89%8.20%5.21%

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).

No Trend Data Yet

Season Trends will appear here once midseason progression snapshots are available for this season.

Promotion Playoff Bracket

The path the promotion-playoff teams took to determine the final promotion spot. Two-leg ties show their aggregate score with each leg listed below the matchup card.

Quarterfinals

Randers 3
Helsingor 2

Leg 1: Randers 2-1 Helsingor

Leg 2: Helsingor 1-1 Randers

Lyngby 4
Silkeborg 3

Leg 1: Silkeborg 2-2 Lyngby

Leg 2: Lyngby 2-1 Silkeborg

Sonderjyske 3
Hobro 3

Leg 1: Hobro 3-2 Sonderjyske

Leg 2: Sonderjyske 1-0 Hobro

Aarhus GF 6
Odense 4

Leg 1: Odense 2-3 Aarhus GF

Leg 2: Aarhus GF 3-2 Odense

Semifinals

Silkeborg 5
Helsingor 4

Leg 1: Helsingor 1-1 Silkeborg

Leg 2: Silkeborg 4-3 Helsingor

Randers 4
Lyngby 2

Leg 1: Lyngby 1-2 Randers

Leg 2: Randers 2-1 Lyngby

Aarhus GF 4
Sonderjyske 2

Leg 1: Aarhus GF 2-2 Sonderjyske

Leg 2: Sonderjyske 0-2 Aarhus GF

Finals

Esbjerg 3
Silkeborg 1

Leg 1: Silkeborg 1-0 Esbjerg

Leg 2: Esbjerg 3-0 Silkeborg

Vendsyssel 3
Lyngby 1

Leg 1: Vendsyssel 1-0 Lyngby

Leg 2: Lyngby 1-2 Vendsyssel

FC Copenhagen 4
Aarhus GF 1

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 Same level Qualified for relegation playoff final
Aalborg 66.2% 33.8%
Aarhus GF 64.8% 35.2%
Brondby 99.8% 0.2%
FC Copenhagen 99.9% 0.1%
Helsingor 12.1% 87.9%
Hobro 70.2% 29.8%
Horsens 66.7% 33.3%
Lyngby 61.1% 38.9%
Midtjylland 99.8% 0.2%
Nordsjaelland 98.8% 1.2%
Odense 83.6% 16.4%
Randers 50.4% 49.6%
Silkeborg 36.8% 63.2%
Sonderjyske 89.8% 10.2%

Overall Game Log

Every regular-season game from each team's perspective. Use the team filter 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.

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2017-07-14 Horsens L 1-2 1665 1611 50.2% 27.6% 22.2% -9.4 0
2017-07-14 @ Aarhus GF W 2-1 1611 1665 22.2% 27.6% 50.2% +9.4 3
2017-07-15 Aalborg D 1-1 1792 1625 65.6% 19.2% 15.2% -2.2 1
2017-07-15 @ FC Copenhagen D 1-1 1625 1792 15.2% 19.2% 65.6% +2.2 1
2017-07-15 Randers D 0-0 1669 1664 43.2% 30.0% 26.8% -0.8 1
2017-07-15 @ Sonderjyske D 0-0 1664 1669 26.8% 30.0% 43.2% +0.8 1
2017-07-16 Midtjylland W 4-0 1711 1720 41.2% 30.4% 28.3% +23.6 3
2017-07-16 @ Brondby L 0-4 1720 1711 28.3% 30.4% 41.2% -23.6 0
2017-07-16 Helsingor W 2-1 1603 1587 44.7% 29.6% 25.7% +5.7 3
2017-07-16 @ Hobro L 1-2 1587 1603 25.7% 29.6% 44.7% -5.7 0
2017-07-16 Silkeborg W 2-1 1684 1622 51.2% 27.2% 21.6% +4.8 3
2017-07-16 @ Lyngby L 1-2 1622 1684 21.6% 27.2% 51.2% -4.8 0
2017-07-17 Nordsjaelland L 1-2 1656 1677 39.4% 30.7% 29.9% -7.9 0
2017-07-17 @ Odense W 2-1 1677 1656 29.9% 30.7% 39.4% +7.9 3
2017-07-21 Hobro W 2-0 1656 1609 49.2% 28.0% 22.8% +10.2 3
2017-07-21 @ Aarhus GF L 0-2 1609 1656 22.8% 28.0% 49.2% -10.2 3
2017-07-22 FC Copenhagen L 0-3 1665 1790 25.9% 29.7% 44.4% -16.8 1
2017-07-22 @ Randers W 3-0 1790 1665 44.4% 29.7% 25.9% +16.8 4
2017-07-23 Sonderjyske L 1-4 1628 1668 36.6% 31.0% 32.4% -18.3 1
2017-07-23 @ Aalborg W 4-1 1668 1628 32.4% 31.0% 36.6% +18.3 4
2017-07-23 Lyngby W 4-1 1620 1689 32.7% 31.1% 36.3% +18.2 6
2017-07-23 @ Horsens L 1-4 1689 1620 36.3% 31.1% 32.7% -18.2 3
2017-07-23 Silkeborg W 2-0 1697 1617 53.7% 26.0% 20.3% +9.0 3
2017-07-23 @ Midtjylland L 0-2 1617 1697 20.3% 26.0% 53.7% -9.0 0
2017-07-23 Brondby W 3-2 1685 1735 35.4% 31.1% 33.6% +6.7 6
2017-07-23 @ Nordsjaelland L 2-3 1735 1685 33.6% 31.1% 35.4% -6.7 3
2017-07-24 Odense L 0-2 1582 1648 33.0% 31.1% 35.9% -13.9 0
2017-07-24 @ Helsingor W 2-0 1648 1582 35.9% 31.1% 33.0% +13.9 3
2017-07-28 Helsingor L 1-2 1687 1568 59.2% 23.1% 17.7% -10.5 4
2017-07-28 @ Sonderjyske W 2-1 1568 1687 17.7% 23.1% 59.2% +10.5 3
2017-07-29 Hobro D 0-0 1807 1598 71.0% 15.7% 13.3% -2.8 5
2017-07-29 @ FC Copenhagen D 0-0 1598 1807 13.3% 15.7% 71.0% +2.8 4
2017-07-29 Horsens W 1-0 1662 1639 45.8% 29.2% 24.9% +5.9 6
2017-07-29 @ Odense L 0-1 1639 1662 24.9% 29.2% 45.8% -5.9 6
2017-07-30 Lyngby W 5-3 1728 1670 50.7% 27.4% 21.9% +7.2 6
2017-07-30 @ Brondby L 3-5 1670 1728 21.9% 27.4% 50.7% -7.2 3
2017-07-30 Randers W 2-1 1706 1648 50.7% 27.4% 21.9% +4.9 6
2017-07-30 @ Midtjylland L 1-2 1648 1706 21.9% 27.4% 50.7% -4.9 1
2017-07-30 Aalborg W 3-2 1692 1609 54.2% 25.8% 20.0% +4.2 9
2017-07-30 @ Nordsjaelland L 2-3 1609 1692 20.0% 25.8% 54.2% -4.2 1
2017-07-31 Aarhus GF W 2-1 1608 1666 34.2% 31.1% 34.7% +7.2 3
2017-07-31 @ Silkeborg L 1-2 1666 1608 34.7% 31.1% 34.2% -7.2 3
2017-08-04 Silkeborg W 1-0 1633 1616 44.9% 29.5% 25.5% +6.0 9
2017-08-04 @ Horsens L 0-1 1616 1633 25.5% 29.5% 44.9% -6.1 3
2017-08-05 Randers W 2-0 1601 1643 36.4% 31.0% 32.6% +13.8 7
2017-08-05 @ Hobro L 0-2 1643 1601 32.6% 31.0% 36.4% -13.8 1
2017-08-06 FC Copenhagen W 1-0 1735 1804 32.7% 31.1% 36.3% +7.9 9
2017-08-06 @ Brondby L 0-1 1804 1735 36.3% 31.1% 32.7% -7.9 5
2017-08-06 Midtjylland W 2-1 1578 1711 25.2% 29.4% 45.5% +8.7 6
2017-08-06 @ Helsingor L 1-2 1711 1578 45.5% 29.4% 25.2% -8.7 6
2017-08-06 Nordsjaelland L 1-4 1663 1696 37.8% 30.9% 31.3% -18.8 3
2017-08-06 @ Lyngby W 4-1 1696 1663 31.3% 30.9% 37.8% +18.8 12
2017-08-06 Aalborg D 0-0 1668 1605 51.4% 27.1% 21.5% -1.5 7
2017-08-06 @ Odense D 0-0 1605 1668 21.5% 27.1% 51.4% +1.5 2
2017-08-07 Aarhus GF W 3-0 1676 1659 45.0% 29.5% 25.5% +16.5 7
2017-08-07 @ Sonderjyske L 0-3 1659 1676 25.5% 29.5% 45.0% -16.5 3
2017-08-11 Helsingor W 4-1 1610 1587 45.7% 29.3% 25.0% +13.7 6
2017-08-11 @ Silkeborg L 1-4 1587 1610 25.0% 29.3% 45.7% -13.7 6
2017-08-12 Horsens D 1-1 1796 1639 64.3% 20.0% 15.7% -2.1 6
2017-08-12 @ FC Copenhagen D 1-1 1639 1796 15.7% 20.0% 64.3% +2.1 10
2017-08-12 Sonderjyske D 1-1 1645 1693 35.5% 31.1% 33.4% -0.1 4
2017-08-12 @ Lyngby D 1-1 1693 1645 33.4% 31.1% 35.5% +0.1 8
2017-08-13 Odense D 0-0 1642 1666 39.0% 30.8% 30.2% -0.4 4
2017-08-13 @ Aarhus GF D 0-0 1666 1642 30.2% 30.8% 39.0% +0.4 8
2017-08-13 Nordsjaelland W 4-3 1702 1715 40.6% 30.6% 28.8% +5.8 9
2017-08-13 @ Midtjylland L 3-4 1715 1702 28.8% 30.6% 40.6% -5.8 12
2017-08-13 Brondby D 0-0 1630 1743 27.1% 30.1% 42.8% +0.7 2
2017-08-13 @ Randers D 0-0 1743 1630 42.8% 30.1% 27.1% -0.7 10
2017-08-14 Hobro D 1-1 1606 1615 41.3% 30.4% 28.3% -0.5 3
2017-08-14 @ Aalborg D 1-1 1615 1606 28.3% 30.4% 41.3% +0.5 8
2017-08-18 Aalborg D 0-0 1641 1606 47.5% 28.7% 23.8% -1.1 11
2017-08-18 @ Horsens D 0-0 1606 1641 23.8% 28.7% 47.5% +1.1 4
2017-08-18 Silkeborg D 1-1 1630 1623 43.5% 29.9% 26.6% -0.7 3
2017-08-18 @ Randers D 1-1 1623 1630 26.6% 29.9% 43.5% +0.7 7
2017-08-19 Sonderjyske W 3-2 1794 1693 56.7% 24.5% 18.8% +3.9 9
2017-08-19 @ FC Copenhagen L 2-3 1693 1794 18.8% 24.5% 56.7% -3.9 8
2017-08-20 Brondby W 2-0 1642 1742 28.6% 30.5% 40.9% +16.2 7
2017-08-20 @ Aarhus GF L 0-2 1742 1642 40.9% 30.5% 28.6% -16.2 10
2017-08-20 Lyngby W 3-0 1615 1644 38.3% 30.9% 30.8% +19.2 11
2017-08-20 @ Hobro L 0-3 1644 1615 30.8% 30.9% 38.3% -19.3 4
2017-08-20 Midtjylland L 0-2 1667 1708 36.6% 31.0% 32.4% -15.0 8
2017-08-20 @ Odense W 2-0 1708 1667 32.4% 31.0% 36.6% +15.0 12
2017-08-21 Helsingor W 1-0 1709 1573 61.5% 21.7% 16.8% +3.8 15
2017-08-21 @ Nordsjaelland L 0-1 1573 1709 16.8% 21.7% 61.5% -3.8 6
2017-08-25 Hobro L 0-2 1624 1635 41.0% 30.5% 28.5% -16.2 7
2017-08-25 @ Silkeborg W 2-0 1635 1624 28.5% 30.5% 41.0% +16.2 14
2017-08-25 Odense D 2-2 1689 1652 47.8% 28.6% 23.6% -0.8 9
2017-08-25 @ Sonderjyske D 2-2 1652 1689 23.6% 28.6% 47.8% +0.8 9
2017-08-26 Aarhus GF D 0-0 1607 1658 35.2% 31.1% 33.8% -0.1 5
2017-08-26 @ Aalborg D 0-0 1658 1607 33.8% 31.1% 35.2% +0.1 8
2017-08-26 Randers W 2-0 1570 1630 33.9% 31.1% 35.1% +14.5 9
2017-08-26 @ Helsingor L 0-2 1630 1570 35.1% 31.1% 33.9% -14.5 3
2017-08-27 Horsens W 2-0 1726 1640 54.7% 25.5% 19.8% +8.8 13
2017-08-27 @ Brondby L 0-2 1640 1726 19.8% 25.5% 54.7% -8.8 11
2017-08-27 Lyngby D 1-1 1723 1625 56.2% 24.7% 19.0% -1.6 13
2017-08-27 @ Midtjylland D 1-1 1625 1723 19.0% 24.7% 56.2% +1.6 5
2017-08-27 FC Copenhagen W 3-0 1713 1798 30.5% 30.8% 38.6% +22.6 18
2017-08-27 @ Nordsjaelland L 0-3 1798 1713 38.6% 30.8% 30.5% -22.6 9
2017-09-08 Sonderjyske W 3-2 1651 1688 37.1% 31.0% 31.9% +6.4 17
2017-09-08 @ Hobro L 2-3 1688 1651 31.9% 31.0% 37.1% -6.5 9
2017-09-08 Nordsjaelland D 2-2 1631 1736 28.1% 30.4% 41.5% +0.4 12
2017-09-08 @ Horsens D 2-2 1736 1631 41.5% 30.4% 28.1% -0.4 19
2017-09-09 Randers L 1-4 1658 1615 48.6% 28.3% 23.1% -22.5 8
2017-09-09 @ Aarhus GF W 4-1 1615 1658 23.1% 28.3% 48.6% +22.5 6
2017-09-10 Midtjylland W 4-3 1775 1721 50.2% 27.6% 22.2% +4.6 12
2017-09-10 @ FC Copenhagen L 3-4 1721 1775 22.2% 27.6% 50.2% -4.6 13
2017-09-10 Helsingor W 3-1 1627 1584 48.6% 28.3% 23.1% +9.0 8
2017-09-10 @ Lyngby L 1-3 1584 1627 23.1% 28.3% 48.6% -9.0 9
2017-09-10 Brondby D 1-1 1652 1735 30.8% 30.9% 38.3% +0.3 10
2017-09-10 @ Odense D 1-1 1735 1652 38.3% 30.9% 30.8% -0.3 14
2017-09-11 Silkeborg W 2-1 1607 1608 42.4% 30.2% 27.4% +6.0 8
2017-09-11 @ Aalborg L 1-2 1608 1607 27.4% 30.2% 42.4% -6.0 7
2017-09-15 Lyngby D 0-0 1638 1636 42.7% 30.1% 27.2% -0.7 7
2017-09-15 @ Randers D 0-0 1636 1638 27.2% 30.1% 42.7% +0.7 9
2017-09-15 Odense W 1-0 1602 1653 35.1% 31.1% 33.8% +7.5 10
2017-09-15 @ Silkeborg L 0-1 1653 1602 33.8% 31.1% 35.1% -7.5 10
2017-09-16 Horsens D 2-2 1682 1631 49.7% 27.9% 22.5% -0.9 10
2017-09-16 @ Sonderjyske D 2-2 1631 1682 22.5% 27.9% 49.7% +0.9 13
2017-09-17 Aalborg D 0-0 1735 1613 59.6% 22.9% 17.6% -2.1 15
2017-09-17 @ Brondby D 0-0 1613 1735 17.6% 22.9% 59.6% +2.1 9
2017-09-17 FC Copenhagen L 0-4 1575 1780 19.3% 25.1% 55.6% -16.2 9
2017-09-17 @ Helsingor W 4-0 1780 1575 55.6% 25.1% 19.3% +16.2 15
2017-09-17 Hobro W 5-1 1716 1657 50.9% 27.3% 21.8% +15.5 16
2017-09-17 @ Midtjylland L 1-5 1657 1716 21.8% 27.3% 50.9% -15.5 17
2017-09-18 Aarhus GF L 1-2 1735 1635 56.5% 24.6% 18.9% -10.2 19
2017-09-18 @ Nordsjaelland W 2-1 1635 1735 18.9% 24.6% 56.5% +10.2 11
2017-09-22 Sonderjyske D 2-2 1725 1681 48.8% 28.2% 23.0% -0.8 20
2017-09-22 @ Nordsjaelland D 2-2 1681 1725 23.0% 28.2% 48.8% +0.8 11
2017-09-23 Silkeborg W 4-0 1796 1609 68.2% 17.5% 14.3% +10.8 18
2017-09-23 @ FC Copenhagen L 0-4 1609 1796 14.3% 17.5% 68.2% -10.8 10
2017-09-23 Helsingor W 2-0 1632 1559 52.9% 26.4% 20.7% +9.2 16
2017-09-23 @ Horsens L 0-2 1559 1632 20.7% 26.4% 52.9% -9.3 9
2017-09-24 Lyngby W 3-1 1615 1637 39.4% 30.7% 29.9% +11.2 12
2017-09-24 @ Aalborg L 1-3 1637 1615 29.9% 30.7% 39.4% -11.2 9
2017-09-24 Brondby L 1-2 1642 1733 29.8% 30.7% 39.5% -6.5 17
2017-09-24 @ Hobro W 2-1 1733 1642 39.5% 30.7% 29.8% +6.5 18
2017-09-24 Randers W 3-1 1645 1637 43.7% 29.9% 26.4% +10.2 13
2017-09-24 @ Odense L 1-3 1637 1645 26.4% 29.9% 43.7% -10.2 7
2017-09-25 Midtjylland L 0-3 1646 1732 30.3% 30.8% 38.8% -19.1 11
2017-09-25 @ Aarhus GF W 3-0 1732 1646 38.8% 30.8% 30.3% +19.0 19
2017-09-29 Aarhus GF L 1-5 1550 1627 31.5% 31.0% 37.5% -21.3 9
2017-09-29 @ Helsingor W 5-1 1627 1550 37.5% 31.0% 31.5% +21.3 14
2017-09-29 Horsens L 0-1 1627 1641 40.4% 30.6% 29.0% -8.5 7
2017-09-29 @ Randers W 1-0 1641 1627 29.0% 30.6% 40.4% +8.5 19
2017-09-30 Odense D 1-1 1635 1655 39.6% 30.7% 29.7% -0.4 18
2017-09-30 @ Hobro D 1-1 1655 1635 29.7% 30.7% 39.6% +0.4 14
2017-10-01 Sonderjyske W 4-0 1739 1682 50.7% 27.4% 21.9% +18.7 21
2017-10-01 @ Brondby L 0-4 1682 1739 21.9% 27.4% 50.7% -18.7 11
2017-10-01 FC Copenhagen W 3-1 1625 1807 20.9% 26.7% 52.4% +16.8 12
2017-10-01 @ Lyngby L 1-3 1807 1625 52.4% 26.7% 20.9% -16.8 18
2017-10-01 Aalborg W 4-1 1751 1626 60.0% 22.6% 17.4% +9.2 22
2017-10-01 @ Midtjylland L 1-4 1626 1751 17.4% 22.6% 60.0% -9.2 12
2017-10-01 Nordsjaelland L 2-4 1598 1724 25.8% 29.6% 44.5% -8.9 10
2017-10-01 @ Silkeborg W 4-2 1724 1598 44.5% 29.6% 25.8% +8.9 23
2017-10-13 Midtjylland L 0-1 1663 1760 29.0% 30.6% 40.4% -6.7 11
2017-10-13 @ Sonderjyske W 1-0 1760 1663 40.4% 30.6% 29.0% +6.7 25
2017-10-14 Randers W 3-2 1733 1618 58.7% 23.4% 18.0% +3.7 26
2017-10-14 @ Nordsjaelland L 2-3 1618 1733 18.0% 23.4% 58.7% -3.7 7
2017-10-15 Helsingor W 1-0 1617 1528 55.0% 25.4% 19.6% +4.6 15
2017-10-15 @ Aalborg L 0-1 1528 1617 19.6% 25.4% 55.0% -4.6 9
2017-10-15 Silkeborg W 4-1 1758 1589 65.8% 19.0% 15.1% +7.6 24
2017-10-15 @ Brondby L 1-4 1589 1758 15.1% 19.0% 65.8% -7.6 10
2017-10-15 Hobro D 2-2 1650 1635 44.6% 29.6% 25.8% -0.6 20
2017-10-15 @ Horsens D 2-2 1635 1650 25.8% 29.6% 44.6% +0.6 19
2017-10-15 FC Copenhagen W 1-0 1656 1790 25.0% 29.3% 45.7% +9.3 17
2017-10-15 @ Odense L 0-1 1790 1656 45.7% 29.3% 25.0% -9.3 18
2017-10-16 Lyngby L 0-2 1648 1642 43.3% 30.0% 26.7% -16.9 14
2017-10-16 @ Aarhus GF W 2-0 1642 1648 26.7% 30.0% 43.3% +16.9 15
2017-10-20 Horsens W 4-2 1767 1649 59.0% 23.2% 17.8% +6.0 28
2017-10-20 @ Midtjylland L 2-4 1649 1767 17.8% 23.2% 59.0% -6.0 20
2017-10-21 Sonderjyske W 1-0 1582 1656 31.9% 31.0% 37.1% +8.0 13
2017-10-21 @ Silkeborg L 0-1 1656 1582 37.1% 31.0% 31.9% -8.0 11
2017-10-22 Aarhus GF W 4-0 1781 1631 63.3% 20.6% 16.1% +12.8 21
2017-10-22 @ FC Copenhagen L 0-4 1631 1781 16.1% 20.6% 63.3% -12.8 14
2017-10-22 Brondby L 0-1 1524 1765 17.1% 22.2% 60.7% -3.9 9
2017-10-22 @ Helsingor W 1-0 1765 1524 60.7% 22.2% 17.1% +3.9 27
2017-10-22 Nordsjaelland W 4-0 1636 1737 28.5% 30.5% 41.0% +30.8 22
2017-10-22 @ Hobro L 0-4 1737 1636 41.0% 30.5% 28.5% -30.8 26
2017-10-22 Odense D 1-1 1659 1665 41.6% 30.3% 28.0% -0.6 16
2017-10-22 @ Lyngby D 1-1 1665 1659 28.0% 30.3% 41.6% +0.6 18
2017-10-23 Aalborg D 1-1 1614 1622 41.5% 30.4% 28.2% -0.6 8
2017-10-23 @ Randers D 1-1 1622 1614 28.2% 30.4% 41.5% +0.5 16
2017-10-27 Nordsjaelland L 1-4 1618 1706 30.2% 30.8% 39.1% -16.0 14
2017-10-27 @ Aarhus GF W 4-1 1706 1618 39.1% 30.8% 30.2% +16.0 29
2017-10-28 Silkeborg W 2-0 1520 1590 32.5% 31.0% 36.5% +15.0 12
2017-10-28 @ Helsingor L 0-2 1590 1520 36.5% 31.0% 32.5% -15.0 13
2017-10-29 Odense L 0-2 1622 1666 36.2% 31.1% 32.7% -14.9 16
2017-10-29 @ Aalborg W 2-0 1666 1622 32.7% 31.1% 36.2% +14.9 21
2017-10-29 FC Copenhagen D 1-1 1643 1793 23.5% 28.5% 48.0% +1.0 21
2017-10-29 @ Horsens D 1-1 1793 1643 48.0% 28.5% 23.5% -1.0 22
2017-10-29 Midtjylland D 2-2 1658 1773 27.0% 30.1% 42.9% +0.5 17
2017-10-29 @ Lyngby D 2-2 1773 1658 42.9% 30.1% 27.0% -0.5 29
2017-10-29 Hobro D 1-1 1648 1666 39.9% 30.7% 29.4% -0.4 12
2017-10-29 @ Sonderjyske D 1-1 1666 1648 29.4% 30.7% 39.9% +0.4 23
2017-10-30 Randers W 3-1 1769 1614 64.1% 20.1% 15.8% +5.7 30
2017-10-30 @ Brondby L 1-3 1614 1769 15.8% 20.1% 64.1% -5.7 8
2017-11-03 Helsingor W 2-1 1772 1535 74.5% 13.4% 12.1% +2.2 32
2017-11-03 @ Midtjylland L 1-2 1535 1772 12.1% 13.4% 74.5% -2.2 12
2017-11-03 Horsens D 2-2 1575 1644 32.6% 31.0% 36.4% +0.1 14
2017-11-03 @ Silkeborg D 2-2 1644 1575 36.4% 31.0% 32.6% -0.1 22
2017-11-04 Lyngby D 2-2 1722 1659 51.5% 27.1% 21.5% -1.0 30
2017-11-04 @ Nordsjaelland D 2-2 1659 1722 21.5% 27.1% 51.5% +1.0 18
2017-11-05 Brondby L 0-1 1792 1775 45.0% 29.5% 25.5% -9.2 22
2017-11-05 @ FC Copenhagen W 1-0 1775 1792 25.5% 29.5% 45.0% +9.2 33
2017-11-05 Aalborg L 0-1 1667 1607 51.0% 27.3% 21.7% -10.1 23
2017-11-05 @ Hobro W 1-0 1607 1667 21.7% 27.3% 51.0% +10.1 19
2017-11-05 Sonderjyske L 0-3 1680 1648 47.2% 28.8% 24.0% -26.1 21
2017-11-05 @ Odense W 3-0 1648 1680 24.0% 28.8% 47.2% +26.1 15
2017-11-05 Aarhus GF W 1-0 1608 1602 43.4% 30.0% 26.7% +6.3 11
2017-11-05 @ Randers L 0-1 1602 1608 26.7% 30.0% 43.4% -6.3 14
2017-11-17 Hobro L 0-1 1532 1657 26.0% 29.7% 44.3% -6.1 12
2017-11-17 @ Helsingor W 1-0 1657 1532 44.3% 29.7% 26.0% +6.1 26
2017-11-18 Silkeborg W 3-1 1596 1575 45.5% 29.4% 25.1% +9.7 17
2017-11-18 @ Aarhus GF L 1-3 1575 1596 25.1% 29.4% 45.5% -9.7 14
2017-11-19 Nordsjaelland W 4-2 1784 1721 51.5% 27.1% 21.4% +7.4 36
2017-11-19 @ Brondby L 2-4 1721 1784 21.4% 27.1% 51.5% -7.5 30
2017-11-19 Odense D 0-0 1644 1654 41.0% 30.5% 28.5% -0.6 23
2017-11-19 @ Horsens D 0-0 1654 1644 28.5% 30.5% 41.0% +0.6 22
2017-11-19 Randers L 1-3 1660 1614 49.0% 28.1% 22.9% -16.0 18
2017-11-19 @ Lyngby W 3-1 1614 1660 22.9% 28.1% 49.0% +16.0 14
2017-11-19 FC Copenhagen W 3-0 1674 1783 27.6% 30.2% 42.2% +24.0 18
2017-11-19 @ Sonderjyske L 0-3 1783 1674 42.2% 30.2% 27.6% -24.0 22
2017-11-20 Midtjylland L 0-1 1617 1775 22.9% 28.1% 49.0% -5.5 19
2017-11-20 @ Aalborg W 1-0 1775 1617 49.0% 28.1% 22.9% +5.5 35
2017-11-24 Sonderjyske L 0-2 1630 1698 32.8% 31.1% 36.1% -13.9 14
2017-11-24 @ Randers W 2-0 1698 1630 36.1% 31.1% 32.8% +13.9 21
2017-11-25 Aalborg L 0-1 1526 1612 30.4% 30.8% 38.8% -7.0 12
2017-11-25 @ Helsingor W 1-0 1612 1526 38.8% 30.8% 30.4% +7.0 22
2017-11-26 Lyngby W 5-1 1759 1644 58.7% 23.4% 17.9% +12.3 25
2017-11-26 @ FC Copenhagen L 1-5 1644 1759 17.9% 23.4% 58.7% -12.4 18
2017-11-26 Horsens W 6-0 1714 1644 52.4% 26.7% 20.9% +26.1 33
2017-11-26 @ Nordsjaelland L 0-6 1644 1714 20.9% 26.7% 52.4% -26.1 23
2017-11-26 Hobro W 3-0 1655 1663 41.4% 30.4% 28.2% +18.0 25
2017-11-26 @ Odense L 0-3 1663 1655 28.2% 30.4% 41.4% -18.0 26
2017-11-26 Brondby L 1-3 1565 1792 18.0% 23.4% 58.6% -6.8 14
2017-11-26 @ Silkeborg W 3-1 1792 1565 58.6% 23.4% 18.0% +6.8 39
2017-11-27 Aarhus GF W 4-0 1780 1606 66.6% 18.5% 14.8% +11.5 38
2017-11-27 @ Midtjylland L 0-4 1606 1780 14.8% 18.5% 66.6% -11.5 17
2017-12-01 Helsingor D 0-0 1594 1519 53.1% 26.3% 20.6% -1.6 18
2017-12-01 @ Aarhus GF D 0-0 1519 1594 20.6% 26.3% 53.1% +1.6 13
2017-12-02 Aalborg L 1-2 1632 1619 44.3% 29.7% 26.0% -8.6 18
2017-12-02 @ Lyngby W 2-1 1619 1632 26.0% 29.7% 44.3% +8.6 25
2017-12-03 Nordsjaelland L 1-3 1772 1740 47.1% 28.8% 24.1% -15.5 25
2017-12-03 @ FC Copenhagen W 3-1 1740 1772 24.1% 28.8% 47.1% +15.5 36
2017-12-03 Horsens D 1-1 1645 1618 46.4% 29.1% 24.5% -0.9 27
2017-12-03 @ Hobro D 1-1 1618 1645 24.5% 29.1% 46.4% +0.9 24
2017-12-03 Randers W 3-2 1559 1617 34.2% 31.1% 34.8% +6.9 17
2017-12-03 @ Silkeborg L 2-3 1617 1559 34.8% 31.1% 34.2% -6.9 14
2017-12-03 Brondby L 1-3 1712 1798 30.3% 30.8% 38.9% -11.3 21
2017-12-03 @ Sonderjyske W 3-1 1798 1712 38.9% 30.8% 30.3% +11.3 42
2017-12-04 Odense W 3-1 1791 1673 59.1% 23.1% 17.8% +6.7 41
2017-12-04 @ Midtjylland L 1-3 1673 1791 17.8% 23.1% 59.1% -6.7 25
2017-12-08 Sonderjyske W 2-1 1619 1700 30.9% 30.9% 38.2% +7.7 27
2017-12-08 @ Horsens L 1-2 1700 1619 38.2% 30.9% 30.9% -7.7 21
2017-12-09 Lyngby W 2-1 1521 1623 28.4% 30.4% 41.1% +8.1 16
2017-12-09 @ Helsingor L 1-2 1623 1521 41.1% 30.4% 28.4% -8.1 18
2017-12-10 FC Copenhagen D 1-1 1627 1756 25.6% 29.5% 44.9% +0.8 26
2017-12-10 @ Aalborg D 1-1 1756 1627 44.9% 29.5% 25.6% -0.8 26
2017-12-10 Aarhus GF D 2-2 1810 1593 72.0% 15.0% 12.9% -1.9 43
2017-12-10 @ Brondby D 2-2 1593 1810 12.9% 15.0% 72.0% +1.9 19
2017-12-10 Hobro W 3-2 1755 1644 58.1% 23.7% 18.2% +3.8 39
2017-12-10 @ Nordsjaelland L 2-3 1644 1755 18.2% 23.7% 58.1% -3.8 27
2017-12-10 Silkeborg L 1-2 1666 1565 56.7% 24.5% 18.8% -10.2 25
2017-12-10 @ Odense W 2-1 1565 1666 18.8% 24.5% 56.7% +10.2 20
2017-12-11 Midtjylland L 0-4 1610 1798 20.4% 26.2% 53.4% -17.3 14
2017-12-11 @ Randers W 4-0 1798 1610 53.4% 26.2% 20.4% +17.3 44
2018-02-09 Midtjylland L 0-2 1626 1815 20.4% 26.1% 53.5% -9.1 27
2018-02-09 @ Horsens W 2-0 1815 1626 53.5% 26.1% 20.4% +9.1 47
2018-02-10 Randers W 5-1 1755 1592 65.1% 19.5% 15.4% +10.0 29
2018-02-10 @ FC Copenhagen L 1-5 1592 1755 15.4% 19.5% 65.1% -10.0 14
2018-02-10 Aalborg W 3-2 1576 1628 34.9% 31.1% 34.0% +6.8 23
2018-02-10 @ Silkeborg L 2-3 1628 1576 34.0% 31.1% 34.9% -6.8 26
2018-02-11 Brondby L 1-3 1615 1808 20.1% 25.9% 54.0% -7.8 18
2018-02-11 @ Lyngby W 3-1 1808 1615 54.0% 25.9% 20.1% +7.8 46
2018-02-11 Helsingor W 6-1 1656 1529 60.3% 22.4% 17.3% +14.4 28
2018-02-11 @ Odense L 1-6 1529 1656 17.3% 22.4% 60.3% -14.4 16
2018-02-11 Nordsjaelland W 2-1 1693 1759 33.0% 31.1% 35.9% +7.4 24
2018-02-11 @ Sonderjyske L 1-2 1759 1693 35.9% 31.1% 33.0% -7.4 39
2018-02-12 Aarhus GF L 0-1 1640 1595 49.0% 28.1% 22.9% -9.8 27
2018-02-12 @ Hobro W 1-0 1595 1640 22.9% 28.1% 49.0% +9.8 22
2018-02-16 Odense W 2-1 1751 1671 54.0% 25.9% 20.1% +4.5 42
2018-02-16 @ Nordsjaelland L 1-2 1671 1751 20.1% 25.9% 54.0% -4.5 28
2018-02-17 Lyngby D 1-1 1582 1607 39.0% 30.8% 30.2% -0.4 24
2018-02-17 @ Silkeborg D 1-1 1607 1582 30.2% 30.8% 39.0% +0.4 19
2018-02-18 Brondby D 1-1 1622 1816 20.0% 25.8% 54.2% +1.5 27
2018-02-18 @ Aalborg D 1-1 1816 1622 54.2% 25.8% 20.0% -1.5 47
2018-02-18 Horsens L 0-2 1515 1617 28.4% 30.4% 41.2% -12.5 16
2018-02-18 @ Helsingor W 2-0 1617 1515 41.2% 30.4% 28.4% +12.5 30
2018-02-18 FC Copenhagen W 3-1 1825 1765 50.9% 27.3% 21.8% +8.5 50
2018-02-18 @ Midtjylland L 1-3 1765 1825 21.8% 27.3% 50.9% -8.5 29
2018-02-18 Hobro D 0-0 1582 1630 35.6% 31.1% 33.4% -0.1 15
2018-02-18 @ Randers D 0-0 1630 1582 33.4% 31.1% 35.6% +0.1 28
2018-02-19 Sonderjyske D 0-0 1604 1700 29.2% 30.6% 40.2% +0.5 23
2018-02-19 @ Aarhus GF D 0-0 1700 1604 40.2% 30.6% 29.2% -0.5 25
2018-02-23 Randers D 1-1 1630 1582 49.3% 28.0% 22.7% -1.1 31
2018-02-23 @ Horsens D 1-1 1582 1630 22.7% 28.0% 49.3% +1.1 16
2018-02-24 Aarhus GF D 0-0 1607 1605 42.9% 30.1% 27.1% -0.7 20
2018-02-24 @ Lyngby D 0-0 1605 1607 27.1% 30.1% 42.9% +0.7 24
2018-02-25 Nordsjaelland D 1-1 1623 1756 25.1% 29.3% 45.5% +0.9 28
2018-02-25 @ Aalborg D 1-1 1756 1623 45.5% 29.3% 25.1% -0.9 43
2018-02-25 Helsingor W 6-1 1814 1502 82.5% 8.3% 9.2% +6.0 50
2018-02-25 @ Brondby L 1-6 1502 1814 9.2% 8.3% 82.5% -6.0 16
2018-02-25 Odense W 1-0 1757 1666 55.3% 25.2% 19.5% +4.6 32
2018-02-25 @ FC Copenhagen L 0-1 1666 1757 19.5% 25.2% 55.3% -4.6 28
2018-02-25 Midtjylland L 1-2 1631 1833 19.5% 25.2% 55.3% -4.3 28
2018-02-25 @ Hobro W 2-1 1833 1631 55.3% 25.2% 19.5% +4.3 53
2018-02-26 Silkeborg L 0-1 1700 1582 59.0% 23.2% 17.8% -11.1 25
2018-02-26 @ Sonderjyske W 1-0 1582 1700 17.8% 23.2% 59.0% +11.1 27
2018-02-27 Aarhus GF D 1-1 1628 1606 45.8% 29.3% 24.9% -0.9 32
2018-02-27 @ Horsens D 1-1 1606 1628 24.9% 29.3% 45.8% +0.9 25
2018-02-28 FC Copenhagen L 0-2 1626 1761 24.9% 29.2% 45.9% -11.1 28
2018-02-28 @ Hobro W 2-0 1761 1626 45.9% 29.2% 24.9% +11.1 35
2018-02-28 Lyngby W 3-1 1661 1607 50.3% 27.6% 22.1% +8.6 31
2018-02-28 @ Odense L 1-3 1607 1661 22.1% 27.6% 50.3% -8.6 20
2018-02-28 Helsingor D 0-0 1583 1496 54.8% 25.5% 19.7% -1.7 17
2018-02-28 @ Randers D 0-0 1496 1583 19.7% 25.5% 54.8% +1.7 17
2018-03-01 Brondby L 0-1 1837 1820 45.0% 29.5% 25.5% -9.2 53
2018-03-01 @ Midtjylland W 1-0 1820 1837 25.5% 29.5% 45.0% +9.2 53
2018-03-01 Silkeborg W 3-1 1755 1593 65.0% 19.6% 15.4% +5.5 46
2018-03-01 @ Nordsjaelland L 1-3 1593 1755 15.4% 19.6% 65.0% -5.5 27
2018-03-01 Aalborg L 0-1 1689 1624 51.7% 27.0% 21.3% -10.2 25
2018-03-01 @ Sonderjyske W 1-0 1624 1689 21.3% 27.0% 51.7% +10.2 31
2018-03-03 Hobro L 0-3 1598 1615 40.1% 30.6% 29.3% -23.2 20
2018-03-03 @ Lyngby W 3-0 1615 1598 29.3% 30.6% 40.1% +23.2 31
2018-03-04 FC Copenhagen L 0-1 1607 1772 22.1% 27.6% 50.2% -5.3 25
2018-03-04 @ Aarhus GF W 1-0 1772 1607 50.2% 27.6% 22.1% +5.3 38
2018-03-04 Odense W 2-1 1829 1670 64.6% 19.8% 15.6% +3.2 56
2018-03-04 @ Brondby L 1-2 1670 1829 15.6% 19.8% 64.6% -3.2 31
2018-03-04 Sonderjyske L 1-2 1498 1678 21.0% 26.7% 52.3% -4.7 17
2018-03-04 @ Helsingor W 2-1 1678 1498 52.3% 26.7% 21.0% +4.7 28
2018-03-04 Nordsjaelland L 0-3 1582 1761 21.1% 26.8% 52.1% -13.8 17
2018-03-04 @ Randers W 3-0 1761 1582 52.1% 26.8% 21.1% +13.8 49
2018-03-05 Horsens D 1-1 1634 1628 43.4% 29.9% 26.6% -0.7 32
2018-03-05 @ Aalborg D 1-1 1628 1634 26.6% 29.9% 43.4% +0.7 33
2018-03-05 Midtjylland L 1-2 1588 1828 17.2% 22.3% 60.5% -3.7 27
2018-03-05 @ Silkeborg W 2-1 1828 1588 60.5% 22.3% 17.2% +3.7 56
2018-03-09 Aarhus GF L 0-1 1667 1601 51.8% 26.9% 21.3% -10.2 31
2018-03-09 @ Odense W 1-0 1601 1667 21.3% 26.9% 51.8% +10.2 28
2018-03-10 Silkeborg D 1-1 1638 1584 50.2% 27.6% 22.1% -1.2 32
2018-03-10 @ Hobro D 1-1 1584 1638 22.1% 27.6% 50.2% +1.2 28
2018-03-11 Randers W 4-0 1633 1568 51.8% 26.9% 21.3% +18.1 35
2018-03-11 @ Aalborg L 0-4 1568 1633 21.3% 26.9% 51.8% -18.1 17
2018-03-11 Brondby D 1-1 1628 1832 19.4% 25.1% 55.6% +1.6 34
2018-03-11 @ Horsens D 1-1 1832 1628 55.6% 25.1% 19.4% -1.6 57
2018-03-11 Midtjylland D 1-1 1774 1832 34.2% 31.1% 34.7% +0.0 50
2018-03-11 @ Nordsjaelland D 1-1 1832 1774 34.7% 31.1% 34.2% -0.0 57
2018-03-11 Lyngby W 1-0 1683 1575 57.7% 23.9% 18.4% +4.3 31
2018-03-11 @ Sonderjyske L 0-1 1575 1683 18.4% 23.9% 57.7% -4.3 20
2018-03-12 Helsingor W 4-3 1778 1493 79.8% 10.0% 10.2% +1.7 41
2018-03-12 @ FC Copenhagen L 3-4 1493 1778 10.2% 10.0% 79.8% -1.6 17
2018-03-18 Aalborg D 0-0 1611 1651 36.7% 31.0% 32.2% -0.2 29
2018-03-18 @ Aarhus GF D 0-0 1651 1611 32.2% 31.0% 36.7% +0.2 36
2018-03-18 Hobro W 2-1 1831 1637 69.1% 16.9% 14.0% +2.8 60
2018-03-18 @ Brondby L 1-2 1637 1831 14.0% 16.9% 69.1% -2.8 32
2018-03-18 Nordsjaelland W 1-0 1492 1774 15.0% 18.8% 66.2% +12.0 20
2018-03-18 @ Helsingor L 0-1 1774 1492 66.2% 18.8% 15.0% -12.0 50
2018-03-18 Horsens D 1-1 1571 1630 34.0% 31.1% 34.9% +0.0 21
2018-03-18 @ Lyngby D 1-1 1630 1571 34.9% 31.1% 34.0% -0.0 35
2018-03-18 Sonderjyske W 2-1 1832 1687 62.7% 21.0% 16.3% +3.5 60
2018-03-18 @ Midtjylland L 1-2 1687 1832 16.3% 21.0% 62.7% -3.4 31
2018-03-18 Odense W 4-1 1550 1657 27.9% 30.3% 41.8% +20.2 20
2018-03-18 @ Randers L 1-4 1657 1550 41.8% 30.3% 27.9% -20.2 31
2018-03-18 FC Copenhagen L 1-3 1585 1779 20.0% 25.8% 54.2% -7.7 28
2018-03-18 @ Silkeborg W 3-1 1779 1585 54.2% 25.8% 20.0% +7.7 44

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 Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2018-03-31 Helsingor L 2-3 1577 1504 53.0% 26.4% 20.6% -9.2 0
2018-03-31 @ Silkeborg W 3-2 1504 1577 20.6% 26.4% 53.0% +9.2 3
2018-04-01 Aarhus GF L 1-3 1634 1611 45.8% 29.3% 24.9% -15.2 0
2018-04-01 @ Hobro W 3-1 1611 1634 24.9% 29.3% 45.8% +15.2 3
2018-04-01 Lyngby W 2-0 1570 1571 42.4% 30.2% 27.4% +12.1 3
2018-04-01 @ Randers L 0-2 1571 1570 27.4% 30.2% 42.4% -12.1 0
2018-04-02 Brondby L 0-3 1652 1834 20.9% 26.6% 52.5% -13.6 0
2018-04-02 @ Aalborg W 3-0 1834 1652 52.5% 26.6% 20.9% +13.6 3
2018-04-02 Nordsjaelland W 2-1 1787 1762 46.0% 29.2% 24.8% +5.5 3
2018-04-02 @ FC Copenhagen L 1-2 1762 1787 24.8% 29.2% 46.0% -5.6 0
2018-04-02 Sonderjyske W 2-1 1636 1684 35.7% 31.1% 33.3% +7.0 3
2018-04-02 @ Odense L 1-2 1684 1636 33.3% 31.1% 35.7% -7.0 0
2018-04-03 Midtjylland L 0-1 1630 1835 19.3% 25.0% 55.7% -4.5 0
2018-04-03 @ Horsens W 1-0 1835 1630 55.7% 25.0% 19.3% +4.5 3
2018-04-06 Aalborg W 3-1 1757 1638 59.2% 23.1% 17.7% +6.7 3
2018-04-06 @ Nordsjaelland L 1-3 1638 1757 17.7% 23.1% 59.2% -6.7 0
2018-04-07 Odense D 2-2 1559 1643 30.5% 30.8% 38.6% +0.2 1
2018-04-07 @ Lyngby D 2-2 1643 1559 38.6% 30.8% 30.5% -0.2 4
2018-04-08 Silkeborg W 2-1 1626 1568 50.8% 27.4% 21.8% +4.9 6
2018-04-08 @ Aarhus GF L 1-2 1568 1626 21.8% 27.4% 50.8% -4.9 0
2018-04-08 Horsens W 5-1 1847 1625 72.7% 14.6% 12.7% +7.6 6
2018-04-08 @ Brondby L 1-5 1625 1847 12.7% 14.6% 72.7% -7.6 0
2018-04-08 Hobro L 0-1 1513 1619 28.0% 30.3% 41.7% -6.5 3
2018-04-08 @ Helsingor W 1-0 1619 1513 41.7% 30.3% 28.0% +6.5 3
2018-04-08 Randers W 1-0 1677 1582 55.9% 24.9% 19.2% +4.5 3
2018-04-08 @ Sonderjyske L 0-1 1582 1677 19.2% 24.9% 55.9% -4.5 3
2018-04-09 FC Copenhagen W 3-2 1840 1793 49.2% 28.0% 22.8% +4.9 6
2018-04-09 @ Midtjylland L 2-3 1793 1840 22.8% 28.0% 49.2% -4.9 3
2018-04-13 Helsingor W 2-1 1631 1506 60.0% 22.6% 17.4% +3.8 9
2018-04-13 @ Aarhus GF L 1-2 1506 1631 17.4% 22.6% 60.0% -3.7 3
2018-04-14 Lyngby W 1-0 1681 1559 59.7% 22.8% 17.5% +4.0 6
2018-04-14 @ Sonderjyske L 0-1 1559 1681 17.5% 22.8% 59.7% -4.0 1
2018-04-15 Horsens W 2-0 1631 1618 44.5% 29.7% 25.9% +11.5 3
2018-04-15 @ Aalborg L 0-2 1618 1631 25.9% 29.7% 44.5% -11.5 0
2018-04-15 FC Copenhagen W 2-1 1855 1788 52.0% 26.8% 21.1% +4.7 9
2018-04-15 @ Brondby L 1-2 1788 1855 21.1% 26.8% 52.0% -4.7 3
2018-04-15 Midtjylland L 1-2 1764 1845 31.0% 30.9% 38.1% -6.7 3
2018-04-15 @ Nordsjaelland W 2-1 1845 1764 38.1% 30.9% 31.0% +6.7 9
2018-04-15 Randers W 3-0 1643 1578 51.8% 26.9% 21.2% +13.8 7
2018-04-15 @ Odense L 0-3 1578 1643 21.2% 26.9% 51.8% -13.8 3
2018-04-16 Silkeborg W 1-0 1626 1563 51.4% 27.1% 21.5% +5.1 6
2018-04-16 @ Hobro L 0-1 1563 1626 21.5% 27.1% 51.4% -5.1 0
2018-04-17 Aarhus GF W 1-0 1503 1635 25.1% 29.4% 45.5% +9.3 6
2018-04-17 @ Helsingor L 0-1 1635 1503 45.5% 29.4% 25.1% -9.3 9
2018-04-18 Aalborg W 2-1 1783 1643 62.1% 21.4% 16.6% +3.5 6
2018-04-18 @ FC Copenhagen L 1-2 1643 1783 16.6% 21.4% 62.1% -3.5 3
2018-04-18 Nordsjaelland D 2-2 1606 1757 23.4% 28.5% 48.1% +0.8 1
2018-04-18 @ Horsens D 2-2 1757 1606 48.1% 28.5% 23.4% -0.8 4
2018-04-18 Odense D 1-1 1564 1657 29.5% 30.7% 39.9% +0.4 4
2018-04-18 @ Randers D 1-1 1657 1564 39.9% 30.7% 29.5% -0.4 8
2018-04-19 Sonderjyske D 1-1 1555 1685 25.3% 29.4% 45.2% +0.8 2
2018-04-19 @ Lyngby D 1-1 1685 1555 45.2% 29.4% 25.3% -0.8 7
2018-04-19 Brondby L 2-3 1851 1860 41.3% 30.4% 28.3% -7.7 9
2018-04-19 @ Midtjylland W 3-2 1860 1851 28.3% 30.4% 41.3% +7.7 12
2018-04-19 Hobro W 2-0 1558 1631 32.1% 31.0% 36.9% +15.0 3
2018-04-19 @ Silkeborg L 0-2 1631 1558 36.9% 31.0% 32.1% -15.1 6
2018-04-21 Horsens W 4-1 1787 1607 67.3% 18.1% 14.6% +7.2 9
2018-04-21 @ FC Copenhagen L 1-4 1607 1787 14.6% 18.1% 67.3% -7.2 1
2018-04-22 Midtjylland D 3-3 1639 1844 19.4% 25.1% 55.6% +1.0 4
2018-04-22 @ Aalborg D 3-3 1844 1639 55.6% 25.1% 19.4% -1.0 10
2018-04-22 Silkeborg D 0-0 1512 1573 33.7% 31.1% 35.2% +0.1 7
2018-04-22 @ Helsingor D 0-0 1573 1512 35.2% 31.1% 33.7% -0.1 4
2018-04-22 Brondby L 3-4 1756 1867 27.4% 30.2% 42.4% -5.6 4
2018-04-22 @ Nordsjaelland W 4-3 1867 1756 42.4% 30.2% 27.4% +5.6 15
2018-04-22 Lyngby W 3-0 1657 1556 56.7% 24.4% 18.8% +12.0 11
2018-04-22 @ Odense L 0-3 1556 1657 18.8% 24.4% 56.7% -12.0 2
2018-04-22 Sonderjyske W 3-0 1564 1685 26.4% 29.8% 43.8% +24.7 7
2018-04-22 @ Randers L 0-3 1685 1564 43.8% 29.8% 26.4% -24.7 7
2018-04-23 Hobro L 0-1 1626 1616 44.0% 29.8% 26.2% -9.0 9
2018-04-23 @ Aarhus GF W 1-0 1616 1626 26.2% 29.8% 44.0% +9.0 9
2018-04-27 FC Copenhagen L 2-3 1600 1794 20.0% 25.8% 54.2% -4.2 1
2018-04-27 @ Horsens W 3-2 1794 1600 54.2% 25.8% 20.0% +4.2 12
2018-04-29 Nordsjaelland W 3-1 1873 1750 59.7% 22.8% 17.5% +6.6 18
2018-04-29 @ Brondby L 1-3 1750 1873 17.5% 22.8% 59.7% -6.6 4
2018-04-29 Randers L 1-3 1544 1589 36.0% 31.1% 33.0% -12.8 2
2018-04-29 @ Lyngby W 3-1 1589 1544 33.0% 31.1% 36.0% +12.8 10
2018-04-29 Aalborg W 3-0 1843 1640 70.2% 16.2% 13.6% +7.7 13
2018-04-29 @ Midtjylland L 0-3 1640 1843 13.6% 16.2% 70.2% -7.7 4
2018-04-29 Odense W 2-0 1660 1669 41.2% 30.4% 28.3% +12.4 10
2018-04-29 @ Sonderjyske L 0-2 1669 1660 28.3% 30.4% 41.2% -12.4 11
2018-04-30 Helsingor W 4-1 1625 1512 58.4% 23.5% 18.1% +9.7 12
2018-04-30 @ Hobro L 1-4 1512 1625 18.1% 23.5% 58.4% -9.7 7
2018-04-30 Aarhus GF L 2-5 1573 1617 36.2% 31.1% 32.7% -15.8 4
2018-04-30 @ Silkeborg W 5-2 1617 1573 32.7% 31.1% 36.2% +15.8 12
2018-05-04 Aalborg W 2-1 1596 1633 37.1% 31.0% 31.9% +6.8 4
2018-05-04 @ Horsens L 1-2 1633 1596 31.9% 31.0% 37.1% -6.8 4
2018-05-06 Brondby D 1-1 1798 1880 30.9% 30.9% 38.1% +0.3 13
2018-05-06 @ FC Copenhagen D 1-1 1880 1798 38.1% 30.9% 30.9% -0.3 19
2018-05-07 Nordsjaelland W 2-1 1850 1744 57.5% 24.1% 18.5% +4.1 16
2018-05-07 @ Midtjylland L 1-2 1744 1850 18.5% 24.1% 57.5% -4.0 4
2018-05-11 Horsens W 2-1 1740 1602 61.7% 21.6% 16.7% +3.5 7
2018-05-11 @ Nordsjaelland L 1-2 1602 1740 16.7% 21.6% 61.7% -3.5 4
2018-05-13 FC Copenhagen W 1-0 1626 1798 21.6% 27.2% 51.1% +10.1 7
2018-05-13 @ Aalborg L 0-1 1798 1626 51.1% 27.2% 21.6% -10.1 13
2018-05-14 Midtjylland L 0-1 1879 1854 46.1% 29.2% 24.8% -9.4 19
2018-05-14 @ Brondby W 1-0 1854 1879 24.8% 29.2% 46.1% +9.4 19
2018-05-18 Nordsjaelland D 0-0 1636 1743 27.8% 30.3% 41.9% +0.6 8
2018-05-18 @ Aalborg D 0-0 1743 1636 41.9% 30.3% 27.8% -0.7 8
2018-05-18 Midtjylland L 0-2 1788 1864 31.7% 31.0% 37.3% -13.6 13
2018-05-18 @ FC Copenhagen W 2-0 1864 1788 37.3% 31.0% 31.7% +13.5 22
2018-05-18 Brondby D 2-2 1599 1870 15.6% 19.8% 64.7% +1.6 5
2018-05-18 @ Horsens D 2-2 1870 1599 64.7% 19.8% 15.6% -1.6 20
2018-05-21 Aalborg D 1-1 1868 1637 73.8% 13.9% 12.3% -2.7 21
2018-05-21 @ Brondby D 1-1 1637 1868 12.3% 13.9% 73.8% +2.7 9
2018-05-21 Horsens W 1-0 1877 1600 79.0% 10.5% 10.5% +2.0 25
2018-05-21 @ Midtjylland L 0-1 1600 1877 10.5% 10.5% 79.0% -2.0 5
2018-05-21 FC Copenhagen D 0-0 1743 1775 37.9% 30.9% 31.2% -0.3 9
2018-05-21 @ Nordsjaelland D 0-0 1775 1743 31.2% 30.9% 37.9% +0.3 14

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 W-L.

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Record
2018-05-06 Randers D 1-1 1502 1602 28.7% 30.5% 40.7% +0.5 0-0-1
2018-05-06 @ Helsingor D 1-1 1602 1502 40.7% 30.5% 28.7% -0.5 0-0-1
2018-05-06 Silkeborg W 2-1 1531 1557 38.7% 30.8% 30.5% +6.6 1-0
2018-05-06 @ Lyngby L 1-2 1557 1531 30.5% 30.8% 38.7% -6.6 0-1
2018-05-06 Odense W 3-2 1633 1656 39.1% 30.8% 30.1% +6.2 1-0
2018-05-06 @ Aarhus GF L 2-3 1656 1633 30.1% 30.8% 39.1% -6.2 0-1
2018-05-06 Hobro W 1-0 1672 1634 47.9% 28.5% 23.5% +5.6 1-0
2018-05-06 @ Sonderjyske L 0-1 1634 1672 23.5% 28.5% 47.9% -5.6 0-1
2018-05-13 Helsingor W 2-1 1601 1503 56.4% 24.6% 19.0% +4.2 1-0-1
2018-05-13 @ Randers L 1-2 1503 1601 19.0% 24.6% 56.4% -4.2 0-1-1
2018-05-13 Lyngby D 2-2 1551 1537 44.4% 29.7% 25.9% -0.6 0-1-1
2018-05-13 @ Silkeborg D 2-2 1537 1551 25.9% 29.7% 44.4% +0.6 1-0-1
2018-05-13 Sonderjyske W 3-2 1629 1678 35.4% 31.1% 33.5% +6.7 1-1
2018-05-13 @ Hobro L 2-3 1678 1629 33.5% 31.1% 35.4% -6.7 1-1
2018-05-13 Aarhus GF L 2-3 1650 1639 44.1% 29.8% 26.1% -8.1 0-2
2018-05-13 @ Odense W 3-2 1639 1650 26.1% 29.8% 44.1% +8.1 2-0
2018-05-17 Silkeborg D 1-1 1499 1550 35.0% 31.1% 33.9% -0.0 0-1-2
2018-05-17 @ Helsingor D 1-1 1550 1499 33.9% 31.1% 35.0% +0.0 0-1-2
2018-05-17 Randers L 1-2 1538 1605 32.8% 31.1% 36.1% -6.9 1-1-1
2018-05-17 @ Lyngby W 2-1 1605 1538 36.1% 31.1% 32.8% +6.9 2-0-1
2018-05-19 Sonderjyske D 2-2 1647 1671 39.0% 30.8% 30.2% -0.3 2-0-1
2018-05-19 @ Aarhus GF D 2-2 1671 1647 30.2% 30.8% 39.0% +0.3 1-1-1
2018-05-21 Lyngby W 2-1 1612 1531 54.0% 25.9% 20.1% +4.5 3-0-1
2018-05-21 @ Randers L 1-2 1531 1612 20.1% 25.9% 54.0% -4.5 1-2-1
2018-05-21 Helsingor W 4-3 1550 1498 49.9% 27.8% 22.4% +4.7 1-1-2
2018-05-21 @ Silkeborg L 3-4 1498 1550 22.4% 27.8% 49.9% -4.7 0-2-2
2018-05-22 Aarhus GF L 0-2 1672 1647 46.1% 29.2% 24.8% -17.6 1-2-1
2018-05-22 @ Sonderjyske W 2-0 1647 1672 24.8% 29.2% 46.1% +17.6 3-0-1
2018-05-24 Esbjerg W 1-0 1555 1593 37.0% 31.0% 32.0% +7.2 2-1-2
2018-05-24 @ Silkeborg L 0-1 1593 1555 32.0% 31.0% 37.0% -7.2 0-1
2018-05-24 Lyngby W 1-0 1542 1526 44.8% 29.6% 25.6% +6.1 1-0
2018-05-24 @ Vendsyssel L 0-1 1526 1542 25.6% 29.6% 44.8% -6.1 1-3-1
2018-05-25 Aarhus GF W 4-1 1775 1664 58.1% 23.7% 18.2% +9.8 1-0
2018-05-25 @ FC Copenhagen L 1-4 1664 1775 18.2% 23.7% 58.1% -9.7 3-1-1
2018-05-27 Silkeborg W 3-0 1586 1562 45.9% 29.2% 24.8% +16.1 1-1
2018-05-27 @ Esbjerg L 0-3 1562 1586 24.8% 29.2% 45.9% -16.2 2-2-2
2018-05-27 Vendsyssel L 1-2 1520 1549 38.5% 30.9% 30.7% -7.8 1-4-1
2018-05-27 @ Lyngby W 2-1 1549 1520 30.7% 30.9% 38.5% +7.8 2-0

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 2018-03-18 15.00% @ Helsingor 1492 1 Nordsjaelland 1774 0
2 2017-07-28 17.72% Helsingor 1568 2 @ Sonderjyske 1687 1
3 2018-02-26 17.80% Silkeborg 1582 1 @ Sonderjyske 1700 0
4 2017-12-10 18.81% Silkeborg 1565 2 @ Odense 1666 1
5 2017-09-18 18.89% Aarhus GF 1635 2 @ Nordsjaelland 1735 1
6 2018-03-31 20.65% Helsingor 1504 3 @ Silkeborg 1577 2
7 2017-10-01 20.95% @ Lyngby 1625 3 FC Copenhagen 1807 1
8 2018-03-09 21.26% Aarhus GF 1601 1 @ Odense 1667 0
9 2018-03-01 21.33% Aalborg 1624 1 @ Sonderjyske 1689 0
10 2018-05-13 21.63% @ Aalborg 1626 1 FC Copenhagen 1798 0
11 2017-11-05 21.73% Aalborg 1607 1 @ Hobro 1667 0
12 2017-07-14 22.18% Horsens 1611 2 @ Aarhus GF 1665 1
13 2018-02-12 22.88% Aarhus GF 1595 1 @ Hobro 1640 0
14 2017-11-19 22.89% Randers 1614 3 @ Lyngby 1660 1
15 2017-09-09 23.11% Randers 1615 4 @ Aarhus GF 1658 1
16 2017-11-05 24.02% Sonderjyske 1648 3 @ Odense 1680 0
17 2017-12-03 24.09% Nordsjaelland 1740 3 @ FC Copenhagen 1772 1
18 2018-05-14 24.75% Midtjylland 1854 1 @ Brondby 1879 0
19 2018-05-22 * 24.75% Aarhus GF 1647 2 @ Sonderjyske 1672 0
20 2018-04-01 24.93% Aarhus GF 1611 3 @ Hobro 1634 1
21 2017-10-15 24.99% @ Odense 1656 1 FC Copenhagen 1790 0
22 2018-04-17 25.15% @ Helsingor 1503 1 Aarhus GF 1635 0
23 2017-08-06 25.18% @ Helsingor 1578 2 Midtjylland 1711 1
24 2017-11-05 25.49% Brondby 1775 1 @ FC Copenhagen 1792 0
25 2018-03-01 25.51% Brondby 1820 1 @ Midtjylland 1837 0

Biggest Elo Changes

The 25 games that moved the Elo needle the most. Elo Δ is the magnitude of the rating swing; both teams move by the same amount per game (one up, one down). The winning side is shown first. An asterisk (*) after the date marks a playoff game.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2017-10-22 30.78 @ Hobro 4 1636 28.54% Nordsjaelland 0 1737 40.98%
2 2017-11-05 26.07 Sonderjyske 3 1648 24.02% @ Odense 0 1680 47.17%
3 2017-11-26 26.07 @ Nordsjaelland 6 1714 52.40% Horsens 0 1644 20.95%
4 2018-04-22 24.70 @ Randers 3 1564 26.38% Sonderjyske 0 1685 43.77%
5 2017-11-19 24.05 @ Sonderjyske 3 1674 27.60% FC Copenhagen 0 1783 42.16%
6 2017-07-16 23.60 @ Brondby 4 1711 41.21% Midtjylland 0 1720 28.35%
7 2018-03-03 23.19 Hobro 3 1615 29.30% @ Lyngby 0 1598 40.06%
8 2017-08-27 22.59 @ Nordsjaelland 3 1713 30.54% FC Copenhagen 0 1798 38.62%
9 2017-09-09 22.47 Randers 4 1615 23.11% @ Aarhus GF 1 1658 48.62%
10 2017-09-29 21.33 Aarhus GF 5 1627 37.51% @ Helsingor 1 1550 31.53%
11 2018-03-18 20.16 @ Randers 4 1550 27.87% Odense 1 1657 41.82%
12 2017-08-20 19.26 @ Hobro 3 1615 38.33% Lyngby 0 1644 30.80%
13 2017-09-25 19.05 Midtjylland 3 1732 38.83% @ Aarhus GF 0 1646 30.35%
14 2017-08-06 18.75 Nordsjaelland 4 1696 31.31% @ Lyngby 1 1663 37.76%
15 2017-10-01 18.67 @ Brondby 4 1739 50.67% Sonderjyske 0 1682 21.90%
16 2017-07-23 18.35 Sonderjyske 4 1668 32.37% @ Aalborg 1 1628 36.60%
17 2017-07-23 18.23 @ Horsens 4 1620 32.69% Lyngby 1 1689 36.26%
18 2018-03-11 18.11 @ Aalborg 4 1633 51.80% Randers 0 1568 21.27%
19 2017-11-26 18.00 @ Odense 3 1655 41.37% Hobro 0 1663 28.23%
20 2018-05-22 * 17.64 Aarhus GF 2 1647 24.75% @ Sonderjyske 0 1672 46.07%
21 2017-12-11 17.33 Midtjylland 4 1798 53.38% @ Randers 0 1610 20.43%
22 2017-10-16 16.89 Lyngby 2 1642 26.70% @ Aarhus GF 0 1648 43.34%
23 2017-07-22 16.78 FC Copenhagen 3 1790 44.37% @ Randers 0 1665 25.94%
24 2017-10-01 16.75 @ Lyngby 3 1625 20.95% FC Copenhagen 1 1807 52.39%
25 2017-08-07 16.51 @ Sonderjyske 3 1676 45.04% Aarhus GF 0 1659 25.46%