Home / Leagues / Denmark / Superliga / 2018-19

2018-19 Superliga Season

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

Final

Champion

FC Copenhagen

82 points

Relegated

No relegation

Biggest Overachiever

Esbjerg

10.22 points above expected

56 points · 45.78 expected points

Biggest Disappointment

Midtjylland

8.89 points below expected

71 points · 79.89 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 4 3 61 65 23 +42 48.4 +12.61
2 Midtjylland 26 18 6 2 60 62 26 +36 50.8 +9.17
3 Odense 26 12 6 8 42 35 31 +4 33.9 +8.12
4 Brondby 26 11 5 10 38 44 40 +4 44.9 -6.87
5 Esbjerg 26 11 5 10 38 32 35 -3 33.1 +4.94
6 Nordsjaelland 26 9 9 8 36 42 39 +3 38.1 -2.09
7 Aalborg 26 9 9 8 36 38 35 +3 34.7 +1.30
8 Randers 26 9 7 10 34 29 34 -5 31.9 +2.08
9 Aarhus GF 26 7 10 9 31 31 34 -3 34.8 -3.77
10 Horsens 26 8 7 11 31 31 45 -14 30.3 +0.72
11 Sonderjyske 26 7 7 12 28 30 37 -7 33.5 -5.46
12 Vendsyssel 26 5 7 14 22 24 41 -17 26.5 -4.49
13 Hobro 26 5 6 15 21 22 45 -23 26.7 -5.67
14 Vejle BK 26 4 8 14 20 22 42 -20 27.6 -7.61
# Team GP W D L Pts GF GA GD SimPts vsSim
1 FC Copenhagen 36 26 4 6 82 86 37 +49 80.2 +1.81
2 Midtjylland 36 21 8 7 71 76 43 +33 79.9 -8.89
3 Esbjerg 36 16 8 12 56 45 47 -2 45.8 +10.22
4 Brondby 36 15 7 14 52 60 52 +8 50.9 +1.11
5 Odense 36 14 10 12 52 48 48 0 53.8 -1.78
6 Nordsjaelland 36 10 14 12 44 52 54 -2 46.7 -2.73
7 Aarhus GF 32 12 11 9 47 46 40 +6 41.9 +5.12
8 Randers 32 12 9 11 45 35 39 -4 43.8 +1.19
9 Aalborg 32 10 12 10 42 44 41 +3 48.0 -5.99
10 Sonderjyske 32 9 8 15 35 37 45 -8 38.3 -3.34
11 Horsens 32 8 9 15 33 32 55 -23 39.6 -6.58
12 Vendsyssel 32 6 11 15 29 32 49 -17 29.6 -0.62
13 Vejle BK 32 6 10 16 28 34 53 -19 28.0 +0.03
14 Hobro 32 6 9 17 27 31 55 -24 29.1 -2.12

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 5
Sonderjyske 4

Leg 1: Randers 4-3 Sonderjyske

Leg 2: Sonderjyske 1-1 Randers

Aarhus GF 3
Aalborg 0

Leg 1: Aarhus GF 2-0 Aalborg

Leg 2: Aalborg 0-1 Aarhus GF

Semifinals

Hobro 2
Vejle BK 1

Leg 1: Hobro 0-1 Vejle BK

Leg 2: Vejle BK 0-2 Hobro

Horsens 2
Vendsyssel 1

Leg 1: Vendsyssel 0-1 Horsens

Leg 2: Horsens 1-1 Vendsyssel

Randers 3
Aarhus GF 2

Leg 1: Randers 2-1 Aarhus GF

Leg 2: Aarhus GF 1-1 Randers

Finals

Hobro 3
Viborg 0

Leg 1: Hobro 1-0 Viborg

Leg 2: Viborg 0-2 Hobro

Lyngby 4
Vendsyssel 3

Leg 1: Lyngby 2-1 Vendsyssel

Leg 2: Vendsyssel 2-2 Lyngby

Brondby 4
Randers 2

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 1852 82 48.39 +33.61 98.5% 26 38 44 48 53 58 69
Midtjylland 1821 71 50.83 +20.17 94.1% 26 41 47 51 55 61 71
Brondby 1767 52 44.87 +7.13 15.7% 23 34 41 45 49 55 70
Aarhus GF 1690 47 34.77 +12.23 30.6% 13 24 30 35 39 45 60
Odense 1687 52 33.88 +18.12 91.3% 10 24 29 34 38 44 57
Nordsjaelland 1671 44 38.09 +5.91 40.7% 15 28 34 38 42 49 61
Esbjerg 1657 56 33.06 +22.94 80.4% 12 23 29 33 37 43 57
Randers 1640 45 31.92 +13.08 66.3% 8 22 28 32 36 42 62
Aalborg 1634 42 34.70 +7.30 61.4% 13 24 30 35 39 45 61
Sonderjyske 1598 35 33.46 +1.54 22.0% 13 23 29 33 38 44 58
Hobro 1578 27 26.67 +0.33 19.6% 7 17 22 27 31 37 53
Vejle BK 1546 28 27.61 +0.39 12.0% 7 18 23 27 32 38 51
Horsens 1538 33 30.28 +2.72 58.3% 9 20 26 30 34 41 59
Vendsyssel 1528 29 26.49 +2.51 26.4% 7 17 22 26 31 37 53

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 HOB HOR MID NOR ODE RAN SON VB VEN
Aalborg
1-1-0
2.64
0-1-1
2.15
1-0-1
2.77
0-1-1
1.87
1-3-0
6.80
0-1-1
3.17
1-0-1
1.64
1-1-0
2.33
1-0-1
2.72
1-1-2
5.57
2-0-0
2.80
0-2-0
3.24
1-1-2
6.69
Aarhus GF
0-1-1
2.74
1-0-1
2.05
1-1-0
2.79
0-1-1
1.89
2-0-0
3.25
2-0-2
6.47
0-1-1
1.63
0-1-1
2.34
0-1-1
2.64
0-1-1
3.05
4-0-0
6.02
2-2-0
6.44
0-2-0
3.48
Brondby
1-1-0
3.26
1-0-1
3.37
0-0-4
7.14
0-0-4
4.21
2-0-0
4.03
1-0-1
3.76
2-1-1
4.13
2-2-0
6.40
1-2-1
6.38
2-0-0
3.55
1-0-1
3.47
1-1-0
3.99
1-0-1
4.12
Esbjerg
1-0-1
2.61
0-1-1
2.58
4-0-0
3.77
1-0-3
2.86
1-0-1
3.42
2-0-0
2.84
1-2-1
3.00
2-2-0
4.63
1-1-2
5.03
1-1-0
2.73
1-0-1
2.64
1-0-1
3.17
0-1-1
3.14
FC Copenhagen
1-1-0
3.57
1-1-0
3.56
4-0-0
6.68
3-0-1
8.32
2-0-0
4.04
1-0-1
3.84
2-0-2
5.58
2-1-1
7.94
4-0-0
7.90
2-0-0
3.92
2-0-0
3.87
2-0-0
4.46
0-1-1
4.51
Hobro
0-3-1
4.06
0-0-2
2.16
0-0-2
1.52
1-0-1
2.00
0-0-2
1.56
0-2-0
2.41
0-0-2
1.08
1-0-1
1.71
1-0-1
2.30
0-0-4
4.37
0-2-0
2.10
1-0-1
2.71
2-2-0
5.31
Horsens
1-1-0
2.24
2-0-2
4.37
1-0-1
1.72
0-0-2
2.53
1-0-1
1.66
0-2-0
2.96
0-0-2
1.43
1-1-0
2.07
0-0-2
2.50
0-1-1
2.63
0-2-2
4.78
0-2-2
5.53
2-0-0
2.97
Midtjylland
1-0-1
3.90
1-1-0
3.88
1-1-2
6.74
1-2-1
8.11
2-0-2
5.17
2-0-0
4.63
2-0-0
4.15
2-2-0
7.77
2-1-1
7.81
2-0-0
3.97
1-1-0
4.10
2-0-0
4.10
2-0-0
4.53
Nordsjaelland
0-1-1
3.05
1-1-0
3.04
0-2-2
4.40
0-2-2
6.18
1-1-2
3.13
1-0-1
3.77
0-1-1
3.35
0-2-2
3.28
0-3-1
5.45
1-1-0
3.18
2-0-0
2.93
2-0-0
3.43
2-0-0
3.55
Odense
1-0-1
2.67
1-1-0
2.73
1-2-1
4.42
2-1-1
5.72
0-0-4
3.18
1-0-1
3.13
2-0-0
2.87
1-1-2
3.22
1-3-0
5.30
1-0-1
2.95
0-2-0
2.66
2-0-0
3.10
1-0-1
3.31
Randers
2-1-1
5.19
1-1-0
2.35
0-0-2
1.89
0-1-1
2.63
0-0-2
1.60
4-0-0
6.43
1-1-0
2.75
0-0-2
1.56
0-1-1
2.21
1-0-1
2.44
0-1-1
2.79
1-1-0
3.09
2-2-0
6.56
Sonderjyske
0-0-2
2.59
0-0-4
4.75
1-0-1
1.98
1-0-1
2.72
0-0-2
1.64
0-2-0
3.30
2-2-0
5.97
0-1-1
1.48
0-0-2
2.45
0-2-0
2.71
1-1-0
2.58
2-0-2
6.26
2-0-0
3.21
Vejle BK
0-2-0
2.16
0-2-2
4.38
0-1-1
1.54
1-0-1
2.24
0-0-2
1.21
1-0-1
2.65
2-2-0
5.21
0-0-2
1.48
0-0-2
2.00
0-0-2
2.32
0-1-1
2.31
2-0-2
4.51
0-2-0
2.78
Vendsyssel
2-1-1
4.16
0-2-0
1.95
1-0-1
1.46
1-1-0
2.24
1-1-0
1.17
0-2-2
5.43
0-0-2
2.42
0-0-2
1.15
0-0-2
1.89
1-0-1
2.13
0-2-2
4.26
0-0-2
2.18
0-2-0
2.59

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
06.78%7.63%5.93%4.03%1.06%0.42%25.85%
17.63%12.29%7.42%3.81%1.69%0.42%33.26%
25.93%7.42%5.93%2.54%0.85%0.21%22.88%
34.03%3.81%2.54%2.54%0.21%13.14%
41.06%1.69%0.85%0.21%3.81%
5+0.42%0.42%0.21%1.06%
Total25.85%33.26%22.88%13.14%3.81%1.06%100%

Summary Statistics

Mean scored1.39
Mean allowed1.39
StdDev scored1.19
StdDev allowed1.19
Mean total goals/game2.79
Correlation (home vs away score)-0.061
Sample size (games)236
↓ Scored | Allowed →012345+Total
03.12%12.50%3.12%3.12%21.88%
19.38%25.00%6.25%3.12%43.75%
23.12%6.25%6.25%3.12%18.75%
33.12%3.12%3.12%9.38%
43.12%3.12%
5+3.12%3.12%
Total21.88%50.00%12.50%9.38%6.25%100%

Aalborg — Summary Statistics

Mean scored1.38
Mean allowed1.28
StdDev scored1.21
StdDev allowed1.11
Mean total goals/game2.66
Correlation (scored vs allowed)-0.128
Games played32
↓ Scored | Allowed →012345+Total
09.38%3.12%6.25%18.75%
19.38%12.50%9.38%3.12%34.38%
29.38%6.25%12.50%3.12%3.12%34.38%
33.12%3.12%3.12%9.38%
43.12%3.12%
5+
Total31.25%25.00%34.38%6.25%3.12%100%

Aarhus GF — Summary Statistics

Mean scored1.44
Mean allowed1.25
StdDev scored1.01
StdDev allowed1.08
Mean total goals/game2.69
Correlation (scored vs allowed)0.192
Games played32
↓ Scored | Allowed →012345+Total
011.11%2.78%13.89%
12.78%8.33%8.33%2.78%22.22%
216.67%13.89%5.56%11.11%2.78%50.00%
35.56%5.56%11.11%
42.78%2.78%
5+
Total19.44%41.67%16.67%19.44%2.78%100%

Brondby — Summary Statistics

Mean scored1.67
Mean allowed1.44
StdDev scored0.96
StdDev allowed1.11
Mean total goals/game3.11
Correlation (scored vs allowed)0.090
Games played36
↓ Scored | Allowed →012345+Total
08.33%5.56%8.33%2.78%25.00%
116.67%5.56%2.78%5.56%5.56%36.11%
28.33%13.89%5.56%2.78%30.56%
32.78%2.78%5.56%
42.78%2.78%
5+
Total36.11%25.00%16.67%16.67%5.56%100%

Esbjerg — Summary Statistics

Mean scored1.25
Mean allowed1.31
StdDev scored1.00
StdDev allowed1.28
Mean total goals/game2.56
Correlation (scored vs allowed)0.095
Games played36
↓ Scored | Allowed →012345+Total
02.78%2.78%
111.11%8.33%5.56%5.56%30.56%
28.33%8.33%2.78%19.44%
313.89%8.33%5.56%2.78%30.56%
48.33%2.78%11.11%
5+5.56%5.56%
Total41.67%30.56%16.67%5.56%5.56%100%

FC Copenhagen — Summary Statistics

Mean scored2.39
Mean allowed1.03
StdDev scored1.40
StdDev allowed1.16
Mean total goals/game3.42
Correlation (scored vs allowed)-0.218
Games played36
↓ Scored | Allowed →012345+Total
06.25%15.62%6.25%6.25%3.12%37.50%
16.25%15.62%12.50%6.25%40.62%
23.12%3.12%3.12%9.38%
39.38%3.12%12.50%
4
5+
Total15.62%31.25%31.25%15.62%6.25%100%

Hobro — Summary Statistics

Mean scored0.97
Mean allowed1.72
StdDev scored1.00
StdDev allowed1.28
Mean total goals/game2.69
Correlation (scored vs allowed)0.170
Games played32
↓ Scored | Allowed →012345+Total
015.62%6.25%6.25%9.38%3.12%40.62%
16.25%6.25%6.25%12.50%3.12%34.38%
29.38%3.12%12.50%
33.12%3.12%3.12%9.38%
43.12%3.12%
5+
Total25.00%21.88%21.88%25.00%3.12%3.12%100%

Horsens — Summary Statistics

Mean scored1.00
Mean allowed1.72
StdDev scored1.11
StdDev allowed1.44
Mean total goals/game2.72
Correlation (scored vs allowed)0.040
Games played32
↓ Scored | Allowed →012345+Total
08.33%2.78%11.11%
12.78%2.78%11.11%2.78%2.78%22.22%
22.78%16.67%8.33%27.78%
311.11%11.11%2.78%2.78%27.78%
42.78%2.78%5.56%
5+2.78%2.78%5.56%
Total30.56%33.33%25.00%8.33%2.78%100%

Midtjylland — Summary Statistics

Mean scored2.11
Mean allowed1.19
StdDev scored1.30
StdDev allowed1.06
Mean total goals/game3.31
Correlation (scored vs allowed)-0.201
Games played36
↓ Scored | Allowed →012345+Total
08.33%5.56%5.56%5.56%25.00%
15.56%13.89%8.33%2.78%2.78%33.33%
22.78%5.56%8.33%2.78%19.44%
32.78%5.56%8.33%16.67%
45.56%5.56%
5+
Total19.44%36.11%22.22%19.44%2.78%100%

Nordsjaelland — Summary Statistics

Mean scored1.44
Mean allowed1.50
StdDev scored1.21
StdDev allowed1.11
Mean total goals/game2.94
Correlation (scored vs allowed)0.064
Games played36
↓ Scored | Allowed →012345+Total
08.33%8.33%8.33%2.78%2.78%30.56%
111.11%5.56%2.78%2.78%22.22%
28.33%8.33%13.89%5.56%36.11%
35.56%5.56%
42.78%2.78%5.56%
5+
Total30.56%30.56%25.00%8.33%2.78%2.78%100%

Odense — Summary Statistics

Mean scored1.33
Mean allowed1.33
StdDev scored1.15
StdDev allowed1.33
Mean total goals/game2.67
Correlation (scored vs allowed)-0.112
Games played36
↓ Scored | Allowed →012345+Total
06.25%3.12%12.50%6.25%3.12%31.25%
112.50%15.62%6.25%3.12%37.50%
212.50%6.25%3.12%21.88%
36.25%3.12%9.38%
4
5+
Total37.50%25.00%21.88%9.38%6.25%100%

Randers — Summary Statistics

Mean scored1.09
Mean allowed1.22
StdDev scored0.96
StdDev allowed1.24
Mean total goals/game2.31
Correlation (scored vs allowed)-0.343
Games played32
↓ Scored | Allowed →012345+Total
012.50%12.50%9.38%6.25%40.62%
13.12%9.38%9.38%6.25%28.12%
23.12%3.12%3.12%3.12%12.50%
36.25%3.12%3.12%12.50%
43.12%3.12%6.25%
5+
Total25.00%31.25%28.12%9.38%6.25%100%

Sonderjyske — Summary Statistics

Mean scored1.16
Mean allowed1.41
StdDev scored1.27
StdDev allowed1.16
Mean total goals/game2.56
Correlation (scored vs allowed)-0.044
Games played32
↓ Scored | Allowed →012345+Total
06.25%6.25%12.50%3.12%3.12%31.25%
13.12%21.88%9.38%9.38%3.12%46.88%
23.12%3.12%3.12%9.38%
33.12%6.25%9.38%
43.12%3.12%
5+
Total15.62%37.50%25.00%12.50%6.25%3.12%100%

Vejle BK — Summary Statistics

Mean scored1.06
Mean allowed1.66
StdDev scored1.05
StdDev allowed1.26
Mean total goals/game2.72
Correlation (scored vs allowed)-0.204
Games played32
↓ Scored | Allowed →012345+Total
03.12%18.75%6.25%9.38%37.50%
16.25%25.00%6.25%37.50%
23.12%3.12%6.25%12.50%
39.38%3.12%12.50%
4
5+
Total9.38%46.88%25.00%18.75%100%

Vendsyssel — Summary Statistics

Mean scored1.00
Mean allowed1.53
StdDev scored1.02
StdDev allowed0.92
Mean total goals/game2.53
Correlation (scored vs allowed)0.278
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 Esbjerg 56 45.8 +10.22
2 Aarhus GF 47 41.9 +5.12
3 FC Copenhagen 82 80.2 +1.81
4 Randers 45 43.8 +1.19
5 Brondby 52 50.9 +1.11

Biggest Disappointments

# Team Actual Sim vsSim
1 Midtjylland 71 79.9 -8.89
2 Horsens 33 39.6 -6.58
3 Aalborg 42 48.0 -5.99
4 Sonderjyske 35 38.3 -3.34
5 Nordsjaelland 44 46.7 -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 Odense 5 Feb 17 – Mar 17 1 in 121
2 Esbjerg 3 Aug 13 – Aug 27 1 in 68
3 Aarhus GF 5 Apr 5 – Apr 28 1 in 62
4 FC Copenhagen 8 Mar 17 – May 5 1 in 59
5 Randers 3 Dec 9 – Feb 10 1 in 20

Longest Losing Streaks

# Team Games Dates Probability
1 FC Copenhagen 3 May 12 – May 25 1 in 161
2 Brondby 3 Sep 16 – Sep 30 1 in 113
3 Aarhus GF 4 Oct 28 – Nov 26 1 in 61
4 Sonderjyske 4 Dec 16 – Feb 22 1 in 43
5 Horsens 4 Feb 24 – Mar 17 1 in 32

Longest Unbeaten Streaks

# Team Games Dates Probability
1 FC Copenhagen 22 Oct 7 – May 5 1 in 106
2 Nordsjaelland 8 Feb 10 – Apr 8 1 in 103
3 Odense 9 Sep 24 – Dec 1 1 in 50
4 Esbjerg 6 Apr 7 – May 6 1 in 41
5 Aarhus GF 8 Jul 14 – Sep 2 1 in 39

Longest Winless Streaks

# Team Games Dates Probability
1 Horsens 10 Feb 24 – Apr 28 1 in 28
2 Sonderjyske 8 Nov 10 – Feb 22 1 in 26
3 Aalborg 7 Sep 30 – Nov 23 1 in 21
4 Aarhus GF 7 Sep 30 – Nov 26 1 in 21
5 Nordsjaelland 9 Mar 30 – May 19 1 in 20

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
FC Copenhagen31.93%32.05%18.65%8.38%4.26%2.15%1.20%0.71%0.39%0.11%0.11%0.04%0.01%0.01%
Midtjylland49.53%27.77%13.23%5.17%2.04%1.02%0.64%0.29%0.14%0.07%0.07%0.02%0.01%
Esbjerg0.42%1.37%3.48%7.35%8.75%10.17%10.84%10.49%10.75%9.76%8.76%7.41%6.30%4.15%
Brondby13.33%22.82%26.74%15.13%8.46%5.33%3.35%2.02%1.14%0.81%0.50%0.26%0.07%0.04%
Odense0.52%1.89%4.99%9.03%10.35%11.02%11.15%10.59%10.12%8.42%7.91%6.27%4.50%3.24%
Nordsjaelland2.30%5.89%11.59%16.48%15.21%12.35%9.71%7.71%6.61%4.45%3.29%2.28%1.41%0.72%
Aarhus GF0.56%2.36%5.60%10.32%11.46%11.98%10.93%10.10%8.98%8.60%6.91%5.55%4.15%2.50%
Randers0.25%1.00%2.64%5.20%7.25%8.77%9.53%10.04%10.27%11.14%11.09%9.53%7.88%5.41%
Aalborg0.58%2.45%5.94%9.39%11.97%12.08%11.38%10.67%9.17%8.26%6.59%5.34%3.81%2.37%
Sonderjyske0.44%1.53%4.12%7.09%9.42%10.08%10.94%10.91%10.74%9.85%8.33%7.46%5.42%3.67%
Horsens0.08%0.42%1.59%3.08%5.21%6.02%7.76%9.57%10.40%11.05%11.47%12.26%11.67%9.42%
Vendsyssel0.09%0.47%0.99%1.64%2.64%3.73%5.34%6.96%8.92%11.57%14.15%18.95%24.55%
Vejle BK0.02%0.28%0.54%1.34%2.47%3.47%4.85%6.19%7.82%9.73%12.11%14.70%17.17%19.31%
Hobro0.04%0.08%0.42%1.05%1.51%2.92%3.99%5.37%6.51%8.83%11.29%14.73%18.65%24.61%

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 5
Sonderjyske 4

Leg 1: Randers 4-3 Sonderjyske

Leg 2: Sonderjyske 1-1 Randers

Aarhus GF 3
Aalborg 0

Leg 1: Aarhus GF 2-0 Aalborg

Leg 2: Aalborg 0-1 Aarhus GF

Semifinals

Hobro 2
Vejle BK 1

Leg 1: Hobro 0-1 Vejle BK

Leg 2: Vejle BK 0-2 Hobro

Horsens 2
Vendsyssel 1

Leg 1: Vendsyssel 0-1 Horsens

Leg 2: Horsens 1-1 Vendsyssel

Randers 3
Aarhus GF 2

Leg 1: Randers 2-1 Aarhus GF

Leg 2: Aarhus GF 1-1 Randers

Finals

Hobro 3
Viborg 0

Leg 1: Hobro 1-0 Viborg

Leg 2: Viborg 0-2 Hobro

Lyngby 4
Vendsyssel 3

Leg 1: Lyngby 2-1 Vendsyssel

Leg 2: Vendsyssel 2-2 Lyngby

Brondby 4
Randers 2

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 84.2% 15.8%
Aarhus GF 82.0% 18.1%
Brondby 99.6% 0.4%
Esbjerg 73.5% 26.5%
FC Copenhagen 100% <0.1%
Hobro 27.9% 72.1%
Horsens 52.7% 47.3%
Midtjylland 100% <0.1%
Nordsjaelland 93.8% 6.2%
Odense 84.4% 15.7%
Randers 69.3% 30.7%
Sonderjyske 74.1% 25.9%
Vejle BK 31.9% 68.1%
Vendsyssel 26.9% 73.1%

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
2018-07-13 Aalborg L 0-1 1645 1638 41.2% 31.1% 27.7% -8.3 0
2018-07-13 @ Sonderjyske W 1-0 1638 1645 27.7% 31.1% 41.2% +8.3 3
2018-07-13 Hobro W 3-1 1603 1636 35.2% 31.9% 32.8% +11.6 3
2018-07-13 @ Vejle BK L 1-3 1636 1603 32.8% 31.9% 35.2% -11.6 0
2018-07-14 Aarhus GF D 0-0 1760 1645 56.8% 24.5% 18.8% -1.8 1
2018-07-14 @ Midtjylland D 0-0 1645 1760 18.8% 24.5% 56.8% +1.8 1
2018-07-15 Esbjerg D 1-1 1692 1618 50.9% 27.6% 21.5% -1.2 1
2018-07-15 @ Nordsjaelland D 1-1 1618 1692 21.5% 27.6% 50.9% +1.2 1
2018-07-15 Odense W 3-2 1593 1640 33.5% 31.9% 34.6% +6.6 3
2018-07-15 @ Vendsyssel L 2-3 1640 1593 34.6% 31.9% 33.5% -6.6 0
2018-07-16 Horsens L 1-2 1719 1617 55.0% 25.5% 19.5% -9.6 0
2018-07-16 @ FC Copenhagen W 2-1 1617 1719 19.5% 25.5% 55.0% +9.6 3
2018-07-16 Brondby L 0-2 1626 1758 23.7% 29.3% 47.0% -10.3 0
2018-07-16 @ Randers W 2-0 1758 1626 47.0% 29.3% 23.7% +10.2 3
2018-07-20 Midtjylland W 2-1 1646 1759 25.5% 30.3% 44.2% +8.2 6
2018-07-20 @ Aalborg L 1-2 1759 1646 44.2% 30.3% 25.5% -8.2 1
2018-07-21 Vendsyssel L 2-3 1619 1600 42.9% 30.7% 26.4% -7.6 1
2018-07-21 @ Esbjerg W 3-2 1600 1619 26.4% 30.7% 42.9% +7.6 6
2018-07-22 Nordsjaelland D 1-1 1647 1691 33.8% 31.9% 34.2% +0.0 2
2018-07-22 @ Aarhus GF D 1-1 1691 1647 34.2% 31.9% 33.8% -0.0 2
2018-07-22 Vejle BK D 1-1 1768 1614 62.2% 21.1% 16.7% -1.9 4
2018-07-22 @ Brondby D 1-1 1614 1768 16.7% 21.1% 62.2% +1.9 4
2018-07-22 Randers D 1-1 1626 1616 41.7% 31.0% 27.3% -0.6 4
2018-07-22 @ Horsens D 1-1 1616 1626 27.3% 31.0% 41.7% +0.6 1
2018-07-22 Sonderjyske D 2-2 1633 1637 39.6% 31.4% 28.9% -0.3 1
2018-07-22 @ Odense D 2-2 1637 1633 28.9% 31.4% 39.6% +0.3 1
2018-07-23 FC Copenhagen L 0-3 1625 1710 28.4% 31.3% 40.2% -17.5 0
2018-07-23 @ Hobro W 3-0 1710 1625 40.2% 31.3% 28.4% +17.5 3
2018-07-27 Horsens W 2-0 1637 1626 41.8% 31.0% 27.2% +11.6 4
2018-07-27 @ Sonderjyske L 0-2 1626 1637 27.2% 31.0% 41.8% -11.6 4
2018-07-28 Esbjerg W 3-1 1750 1611 60.2% 22.4% 17.4% +6.2 4
2018-07-28 @ Midtjylland L 1-3 1611 1750 17.4% 22.4% 60.2% -6.2 1
2018-07-29 Aalborg W 4-0 1727 1654 50.7% 27.7% 21.6% +17.7 6
2018-07-29 @ FC Copenhagen L 0-4 1654 1727 21.6% 27.7% 50.7% -17.7 6
2018-07-29 Brondby L 1-2 1607 1766 21.5% 27.6% 50.9% -4.6 0
2018-07-29 @ Hobro W 2-1 1766 1607 50.9% 27.6% 21.5% +4.6 7
2018-07-29 Vendsyssel W 3-0 1691 1608 52.2% 27.0% 20.8% +13.0 5
2018-07-29 @ Nordsjaelland L 0-3 1608 1691 20.8% 27.0% 52.2% -13.0 6
2018-07-29 Odense W 1-0 1616 1633 37.7% 31.7% 30.6% +6.7 4
2018-07-29 @ Randers L 0-1 1633 1616 30.6% 31.7% 37.7% -6.7 1
2018-07-30 Aarhus GF D 1-1 1616 1647 35.6% 31.9% 32.5% -0.1 5
2018-07-30 @ Vejle BK D 1-1 1647 1616 32.5% 31.9% 35.6% +0.1 3
2018-08-03 Sonderjyske W 1-0 1647 1649 40.0% 31.4% 28.7% +6.4 6
2018-08-03 @ Aarhus GF L 0-1 1649 1647 28.7% 31.4% 40.0% -6.4 4
2018-08-04 Randers D 3-3 1605 1623 37.6% 31.7% 30.7% -0.2 2
2018-08-04 @ Esbjerg D 3-3 1623 1605 30.7% 31.7% 37.6% +0.2 5
2018-08-04 Midtjylland L 1-3 1616 1757 22.9% 28.8% 48.3% -8.6 5
2018-08-04 @ Vejle BK W 3-1 1757 1616 48.3% 28.8% 22.9% +8.6 7
2018-08-05 Nordsjaelland W 2-0 1771 1704 49.8% 28.1% 22.1% +9.5 10
2018-08-05 @ Brondby L 0-2 1704 1771 22.1% 28.1% 49.8% -9.5 5
2018-08-05 Hobro D 2-2 1614 1603 41.8% 31.0% 27.2% -0.4 5
2018-08-05 @ Horsens D 2-2 1603 1614 27.2% 31.0% 41.8% +0.4 1
2018-08-05 FC Copenhagen L 0-1 1626 1745 24.9% 30.0% 45.2% -5.7 1
2018-08-05 @ Odense W 1-0 1745 1626 45.2% 30.0% 24.9% +5.7 9
2018-08-06 Aalborg L 0-1 1595 1637 34.1% 31.9% 34.0% -7.3 6
2018-08-06 @ Vendsyssel W 1-0 1637 1595 34.0% 31.9% 34.1% +7.3 9
2018-08-10 Vejle BK D 1-1 1587 1607 37.2% 31.8% 31.0% -0.2 7
2018-08-10 @ Vendsyssel D 1-1 1607 1587 31.0% 31.8% 37.2% +0.2 6
2018-08-11 Odense W 3-2 1603 1620 37.6% 31.7% 30.6% +6.0 4
2018-08-11 @ Hobro L 2-3 1620 1603 30.6% 31.7% 37.6% -6.0 1
2018-08-12 Nordsjaelland W 1-0 1644 1694 32.9% 31.9% 35.2% +7.4 12
2018-08-12 @ Aalborg L 0-1 1694 1644 35.2% 31.9% 32.9% -7.4 5
2018-08-12 Brondby W 3-1 1751 1780 35.9% 31.9% 32.2% +11.4 12
2018-08-12 @ FC Copenhagen L 1-3 1780 1751 32.2% 31.9% 35.9% -11.4 10
2018-08-12 Horsens W 3-0 1765 1614 61.9% 21.3% 16.8% +9.8 10
2018-08-12 @ Midtjylland L 0-3 1614 1765 16.8% 21.3% 61.9% -9.8 5
2018-08-12 Aarhus GF D 0-0 1623 1654 35.7% 31.9% 32.4% -0.1 6
2018-08-12 @ Randers D 0-0 1654 1623 32.4% 31.9% 35.7% +0.1 7
2018-08-13 Sonderjyske W 1-0 1605 1642 34.8% 31.9% 33.3% +7.2 5
2018-08-13 @ Esbjerg L 0-1 1642 1605 33.3% 31.9% 34.8% -7.2 4
2018-08-17 Vendsyssel W 2-1 1635 1587 47.1% 29.3% 23.6% +5.1 7
2018-08-17 @ Sonderjyske L 1-2 1587 1635 23.6% 29.3% 47.1% -5.1 7
2018-08-19 FC Copenhagen D 1-1 1654 1762 25.9% 30.5% 43.6% +0.7 8
2018-08-19 @ Aarhus GF D 1-1 1762 1654 43.6% 30.5% 25.9% -0.7 13
2018-08-19 Esbjerg L 0-1 1769 1612 62.6% 20.9% 16.5% -11.0 10
2018-08-19 @ Brondby W 1-0 1612 1769 16.5% 20.9% 62.6% +11.0 8
2018-08-19 Vejle BK W 2-0 1687 1608 51.6% 27.2% 21.1% +9.1 8
2018-08-19 @ Nordsjaelland L 0-2 1608 1687 21.1% 27.2% 51.6% -9.1 6
2018-08-19 Midtjylland D 1-1 1614 1775 21.3% 27.5% 51.2% +1.2 2
2018-08-19 @ Odense D 1-1 1775 1614 51.2% 27.5% 21.3% -1.2 11
2018-08-19 Hobro W 3-0 1623 1609 42.2% 30.9% 27.0% +16.7 9
2018-08-19 @ Randers L 0-3 1609 1623 27.0% 30.9% 42.2% -16.7 4
2018-08-20 Aalborg D 0-0 1604 1651 33.3% 31.9% 34.8% +0.1 6
2018-08-20 @ Horsens D 0-0 1651 1604 34.8% 31.9% 33.3% -0.1 13
2018-08-24 Aarhus GF L 0-2 1592 1655 31.3% 31.8% 36.9% -12.9 4
2018-08-24 @ Hobro W 2-0 1655 1592 36.9% 31.8% 31.3% +12.9 11
2018-08-26 Sonderjyske W 3-2 1761 1640 57.6% 23.9% 18.4% +3.7 16
2018-08-26 @ FC Copenhagen L 2-3 1640 1761 18.4% 23.9% 57.6% -3.7 7
2018-08-26 Randers W 3-0 1774 1640 59.5% 22.8% 17.7% +10.6 14
2018-08-26 @ Midtjylland L 0-3 1640 1774 17.7% 22.8% 59.5% -10.6 9
2018-08-26 Horsens L 0-1 1696 1604 53.5% 26.3% 20.2% -10.0 8
2018-08-26 @ Nordsjaelland W 1-0 1604 1696 20.2% 26.3% 53.5% +10.0 9
2018-08-26 Odense L 0-2 1599 1616 37.7% 31.7% 30.6% -14.7 6
2018-08-26 @ Vejle BK W 2-0 1616 1599 30.6% 31.7% 37.7% +14.7 5
2018-08-26 Brondby L 1-2 1582 1758 20.3% 26.4% 53.4% -4.3 7
2018-08-26 @ Vendsyssel W 2-1 1758 1582 53.4% 26.4% 20.3% +4.3 13
2018-08-27 Esbjerg L 0-1 1651 1623 44.2% 30.3% 25.5% -8.7 13
2018-08-27 @ Aalborg W 1-0 1623 1651 25.5% 30.3% 44.2% +8.7 11
2018-08-31 Vejle BK D 0-0 1614 1584 44.5% 30.2% 25.3% -0.9 10
2018-08-31 @ Horsens D 0-0 1584 1614 25.3% 30.2% 44.5% +0.9 7
2018-09-01 Hobro D 1-1 1637 1579 48.4% 28.7% 22.9% -1.0 8
2018-09-01 @ Sonderjyske D 1-1 1579 1637 22.9% 28.7% 48.4% +1.0 5
2018-09-02 Vendsyssel D 1-1 1668 1578 53.2% 26.5% 20.4% -1.4 12
2018-09-02 @ Aarhus GF D 1-1 1578 1668 20.4% 26.5% 53.2% +1.4 8
2018-09-02 Midtjylland D 2-2 1762 1784 36.9% 31.8% 31.3% -0.2 14
2018-09-02 @ Brondby D 2-2 1784 1762 31.3% 31.8% 36.9% +0.2 15
2018-09-02 FC Copenhagen L 0-2 1632 1765 23.6% 29.2% 47.2% -10.2 11
2018-09-02 @ Esbjerg W 2-0 1765 1632 47.2% 29.2% 23.6% +10.2 19
2018-09-02 Nordsjaelland D 0-0 1630 1686 32.1% 31.9% 36.0% +0.2 6
2018-09-02 @ Odense D 0-0 1686 1630 36.0% 31.9% 32.1% -0.2 9
2018-09-02 Aalborg D 2-2 1629 1643 38.2% 31.7% 30.2% -0.2 10
2018-09-02 @ Randers D 2-2 1643 1629 30.2% 31.7% 38.2% +0.2 14
2018-09-14 Odense W 2-0 1622 1630 38.9% 31.6% 29.6% +12.4 14
2018-09-14 @ Esbjerg L 0-2 1630 1622 29.6% 31.6% 38.9% -12.4 6
2018-09-15 Randers W 4-1 1686 1629 48.4% 28.7% 22.9% +12.1 12
2018-09-15 @ Nordsjaelland L 1-4 1629 1686 22.9% 28.7% 48.4% -12.1 10
2018-09-16 Sonderjyske L 2-4 1762 1635 58.4% 23.5% 18.1% -15.4 14
2018-09-16 @ Brondby W 4-2 1635 1762 18.1% 23.5% 58.4% +15.4 11
2018-09-16 Aarhus GF W 3-2 1613 1666 32.5% 31.9% 35.6% +6.7 13
2018-09-16 @ Horsens L 2-3 1666 1613 35.6% 31.9% 32.5% -6.7 12
2018-09-16 FC Copenhagen W 3-1 1784 1775 41.5% 31.0% 27.5% +10.1 18
2018-09-16 @ Midtjylland L 1-3 1775 1784 27.5% 31.0% 41.5% -10.1 19
2018-09-16 Hobro D 1-1 1579 1581 39.9% 31.4% 28.7% -0.4 9
2018-09-16 @ Vendsyssel D 1-1 1581 1579 28.7% 31.4% 39.9% +0.4 6
2018-09-17 Vejle BK D 1-1 1643 1585 48.6% 28.6% 22.8% -1.0 15
2018-09-17 @ Aalborg D 1-1 1585 1643 22.8% 28.6% 48.6% +1.1 8
2018-09-21 Esbjerg W 1-0 1586 1634 33.1% 31.9% 34.9% +7.4 11
2018-09-21 @ Vejle BK L 0-1 1634 1586 34.9% 31.9% 33.1% -7.4 14
2018-09-22 Vendsyssel W 2-0 1617 1579 45.7% 29.8% 24.5% +10.6 13
2018-09-22 @ Randers L 0-2 1579 1617 24.5% 29.8% 45.7% -10.6 9
2018-09-23 Brondby W 3-2 1659 1746 28.2% 31.3% 40.5% +7.3 15
2018-09-23 @ Aarhus GF L 2-3 1746 1659 40.5% 31.3% 28.2% -7.3 14
2018-09-23 Nordsjaelland W 2-1 1765 1698 49.9% 28.1% 22.0% +4.8 22
2018-09-23 @ FC Copenhagen L 1-2 1698 1765 22.0% 28.1% 49.9% -4.8 12
2018-09-23 Aalborg L 0-5 1581 1642 31.5% 31.8% 36.7% -30.3 6
2018-09-23 @ Hobro W 5-0 1642 1581 36.7% 31.8% 31.5% +30.3 18
2018-09-23 Midtjylland D 0-0 1651 1795 22.7% 28.6% 48.8% +1.2 12
2018-09-23 @ Sonderjyske D 0-0 1795 1651 48.8% 28.6% 22.7% -1.2 19
2018-09-24 Horsens W 4-0 1618 1620 39.9% 31.4% 28.7% +23.0 9
2018-09-24 @ Odense L 0-4 1620 1618 28.7% 31.4% 39.9% -23.0 13
2018-09-28 Randers D 1-1 1593 1627 35.2% 31.9% 32.9% -0.1 12
2018-09-28 @ Vejle BK D 1-1 1627 1593 32.9% 31.9% 35.2% +0.1 14
2018-09-29 Hobro W 5-2 1793 1551 74.1% 13.3% 12.6% +4.7 22
2018-09-29 @ Midtjylland L 2-5 1551 1793 12.6% 13.3% 74.1% -4.7 6
2018-09-30 Odense L 0-1 1672 1641 44.7% 30.1% 25.2% -8.8 18
2018-09-30 @ Aalborg W 1-0 1641 1672 25.2% 30.1% 44.7% +8.8 12
2018-09-30 Horsens L 1-2 1739 1597 60.7% 22.1% 17.2% -10.2 14
2018-09-30 @ Brondby W 2-1 1597 1739 17.2% 22.1% 60.7% +10.2 16
2018-09-30 Aarhus GF D 0-0 1627 1667 34.3% 31.9% 33.7% -0.0 15
2018-09-30 @ Esbjerg D 0-0 1667 1627 33.7% 31.9% 34.3% +0.0 16
2018-09-30 FC Copenhagen W 2-1 1568 1770 18.6% 24.2% 57.1% +9.8 12
2018-09-30 @ Vendsyssel L 1-2 1770 1568 57.1% 24.2% 18.6% -9.8 22
2018-10-01 Sonderjyske W 4-1 1693 1652 46.1% 29.6% 24.2% +12.8 15
2018-10-01 @ Nordsjaelland L 1-4 1652 1693 24.2% 29.6% 46.1% -12.8 12
2018-10-05 Vejle BK W 3-0 1639 1593 46.9% 29.4% 23.8% +15.0 15
2018-10-05 @ Sonderjyske L 0-3 1593 1639 23.8% 29.4% 46.9% -15.0 12
2018-10-06 Aarhus GF D 2-2 1650 1667 37.7% 31.7% 30.6% -0.2 13
2018-10-06 @ Odense D 2-2 1667 1650 30.6% 31.7% 37.7% +0.2 17
2018-10-07 Brondby L 1-3 1663 1729 30.8% 31.8% 37.4% -11.1 18
2018-10-07 @ Aalborg W 3-1 1729 1663 37.4% 31.8% 30.8% +11.1 17
2018-10-07 Randers W 4-0 1760 1627 59.3% 23.0% 17.8% +13.9 25
2018-10-07 @ FC Copenhagen L 0-4 1627 1760 17.8% 23.0% 59.3% -13.9 14
2018-10-07 Nordsjaelland W 3-2 1546 1706 21.4% 27.5% 51.1% +8.6 9
2018-10-07 @ Hobro L 2-3 1706 1546 51.1% 27.5% 21.4% -8.6 15
2018-10-07 Esbjerg L 1-2 1607 1627 37.3% 31.8% 31.0% -7.3 16
2018-10-07 @ Horsens W 2-1 1627 1607 31.0% 31.8% 37.3% +7.3 18
2018-10-07 Vendsyssel W 3-0 1798 1578 71.2% 15.2% 13.6% +7.2 25
2018-10-07 @ Midtjylland L 0-3 1578 1798 13.6% 15.2% 71.2% -7.2 12
2018-10-19 Hobro W 2-0 1634 1555 51.7% 27.2% 21.1% +9.1 21
2018-10-19 @ Esbjerg L 0-2 1555 1634 21.1% 27.2% 51.7% -9.1 9
2018-10-20 Midtjylland L 1-4 1697 1805 25.9% 30.5% 43.6% -13.7 15
2018-10-20 @ Nordsjaelland W 4-1 1805 1697 43.6% 30.5% 25.9% +13.6 28
2018-10-21 Aalborg D 2-2 1667 1652 42.3% 30.8% 26.9% -0.5 18
2018-10-21 @ Aarhus GF D 2-2 1652 1667 26.9% 30.8% 42.3% +0.5 19
2018-10-21 Sonderjyske D 1-1 1614 1654 34.2% 31.9% 33.8% -0.0 15
2018-10-21 @ Randers D 1-1 1654 1614 33.8% 31.9% 34.2% +0.0 16
2018-10-21 FC Copenhagen L 1-3 1578 1774 19.0% 24.8% 56.3% -6.9 12
2018-10-21 @ Vejle BK W 3-1 1774 1578 56.3% 24.8% 19.0% +6.9 28
2018-10-21 Horsens L 0-1 1571 1600 35.9% 31.9% 32.2% -7.5 12
2018-10-21 @ Vendsyssel W 1-0 1600 1571 32.2% 31.9% 35.9% +7.5 19
2018-10-22 Odense D 1-1 1740 1650 53.2% 26.4% 20.3% -1.4 18
2018-10-22 @ Brondby D 1-1 1650 1740 20.3% 26.4% 53.2% +1.4 14
2018-10-26 Odense D 0-0 1654 1651 40.6% 31.2% 28.1% -0.5 17
2018-10-26 @ Sonderjyske D 0-0 1651 1654 28.1% 31.2% 40.6% +0.5 15
2018-10-27 Nordsjaelland D 3-3 1607 1684 29.4% 31.5% 39.0% +0.2 20
2018-10-27 @ Horsens D 3-3 1684 1607 39.0% 31.5% 29.4% -0.2 16
2018-10-28 Vendsyssel L 0-1 1653 1563 53.1% 26.5% 20.4% -9.9 19
2018-10-28 @ Aalborg W 1-0 1563 1653 20.4% 26.5% 53.1% +9.9 15
2018-10-28 Aarhus GF W 4-2 1781 1667 56.7% 24.5% 18.8% +6.1 31
2018-10-28 @ FC Copenhagen L 2-4 1667 1781 18.8% 24.5% 56.7% -6.1 18
2018-10-28 Vejle BK W 1-0 1545 1571 36.4% 31.9% 31.8% +6.9 12
2018-10-28 @ Hobro L 0-1 1571 1545 31.8% 31.9% 36.4% -6.9 12
2018-10-28 Esbjerg L 0-2 1613 1643 35.9% 31.9% 32.3% -14.2 15
2018-10-28 @ Randers W 2-0 1643 1613 32.3% 31.9% 35.9% +14.2 24
2018-10-29 Brondby W 3-2 1819 1739 51.8% 27.2% 21.0% +4.3 31
2018-10-29 @ Midtjylland L 2-3 1739 1819 21.0% 27.2% 51.8% -4.3 18
2018-11-02 Hobro W 1-0 1652 1552 54.5% 25.7% 19.8% +4.5 18
2018-11-02 @ Odense L 0-1 1552 1652 19.8% 25.7% 54.5% -4.5 12
2018-11-02 Sonderjyske L 2-3 1573 1654 29.0% 31.4% 39.6% -5.8 15
2018-11-02 @ Vendsyssel W 3-2 1654 1573 39.6% 31.4% 29.0% +5.8 20
2018-11-04 Randers L 0-2 1660 1599 49.0% 28.5% 22.5% -17.7 18
2018-11-04 @ Aarhus GF W 2-0 1599 1660 22.5% 28.5% 49.0% +17.7 18
2018-11-04 FC Copenhagen L 0-1 1734 1787 32.5% 31.9% 35.5% -7.0 18
2018-11-04 @ Brondby W 1-0 1787 1734 35.5% 31.9% 32.5% +7.0 34
2018-11-04 Midtjylland D 2-2 1657 1823 20.9% 27.1% 52.0% +1.0 25
2018-11-04 @ Esbjerg D 2-2 1823 1657 52.0% 27.1% 20.9% -1.0 32
2018-11-04 Aalborg D 1-1 1684 1643 46.1% 29.7% 24.3% -0.9 17
2018-11-04 @ Nordsjaelland D 1-1 1643 1684 24.3% 29.7% 46.1% +0.9 20
2018-11-05 Horsens W 3-1 1564 1607 33.9% 31.9% 34.2% +11.9 15
2018-11-05 @ Vejle BK L 1-3 1607 1564 34.2% 31.9% 33.9% -11.9 20
2018-11-09 Aarhus GF W 2-0 1727 1643 52.4% 26.9% 20.8% +8.9 21
2018-11-09 @ Brondby L 0-2 1643 1727 20.8% 26.9% 52.4% -8.9 18
2018-11-10 Sonderjyske D 1-1 1595 1659 31.0% 31.8% 37.2% +0.2 21
2018-11-10 @ Horsens D 1-1 1659 1595 37.2% 31.8% 31.0% -0.2 21
2018-11-11 FC Copenhagen D 1-1 1644 1794 22.1% 28.1% 49.7% +1.1 21
2018-11-11 @ Aalborg D 1-1 1794 1644 49.7% 28.1% 22.1% -1.1 35
2018-11-11 Vendsyssel W 1-0 1548 1567 37.4% 31.8% 30.9% +6.8 15
2018-11-11 @ Hobro L 0-1 1567 1548 30.9% 31.8% 37.4% -6.8 15
2018-11-11 Vejle BK W 5-0 1822 1576 74.5% 13.0% 12.5% +10.2 35
2018-11-11 @ Midtjylland L 0-5 1576 1822 12.5% 13.0% 74.5% -10.2 15
2018-11-11 Esbjerg W 2-1 1656 1658 39.8% 31.4% 28.8% +6.1 21
2018-11-11 @ Odense L 1-2 1658 1656 28.8% 31.4% 39.8% -6.1 25
2018-11-11 Nordsjaelland D 1-1 1617 1683 30.8% 31.8% 37.4% +0.2 19
2018-11-11 @ Randers D 1-1 1683 1617 37.4% 31.8% 30.8% -0.2 18
2018-11-23 Aalborg D 1-1 1566 1645 29.2% 31.5% 39.4% +0.4 16
2018-11-23 @ Vejle BK D 1-1 1645 1566 39.4% 31.5% 29.2% -0.4 22
2018-11-24 Randers L 0-1 1555 1617 31.2% 31.8% 37.0% -6.9 15
2018-11-24 @ Hobro W 1-0 1617 1555 37.0% 31.8% 31.2% +6.8 22
2018-11-25 Midtjylland W 2-1 1793 1833 34.4% 31.9% 33.7% +6.8 38
2018-11-25 @ FC Copenhagen L 1-2 1833 1793 33.7% 31.9% 34.4% -6.8 35
2018-11-25 Odense L 1-3 1682 1662 43.1% 30.6% 26.3% -14.0 18
2018-11-25 @ Nordsjaelland W 3-1 1662 1682 26.3% 30.6% 43.1% +14.0 24
2018-11-25 Brondby L 0-2 1659 1736 29.4% 31.5% 39.1% -12.3 21
2018-11-25 @ Sonderjyske W 2-0 1736 1659 39.1% 31.5% 29.4% +12.3 24
2018-11-25 Esbjerg D 1-1 1560 1652 27.7% 31.1% 41.2% +0.5 16
2018-11-25 @ Vendsyssel D 1-1 1652 1560 41.2% 31.1% 27.7% -0.5 26
2018-11-26 Horsens L 1-2 1634 1596 45.7% 29.8% 24.5% -8.4 18
2018-11-26 @ Aarhus GF W 2-1 1596 1634 24.5% 29.8% 45.7% +8.4 24
2018-11-30 Aalborg L 1-4 1652 1644 41.2% 31.1% 27.7% -19.2 26
2018-11-30 @ Esbjerg W 4-1 1644 1652 27.7% 31.1% 41.2% +19.2 25
2018-12-01 Vendsyssel W 2-0 1676 1561 56.8% 24.4% 18.8% +7.9 27
2018-12-01 @ Odense L 0-2 1561 1676 18.8% 24.4% 56.8% -7.9 16
2018-12-02 Hobro W 1-0 1748 1548 68.7% 16.9% 14.4% +2.9 27
2018-12-02 @ Brondby L 0-1 1548 1748 14.4% 16.9% 68.7% -2.9 15
2018-12-02 FC Copenhagen L 1-6 1604 1800 19.0% 24.8% 56.2% -15.5 24
2018-12-02 @ Horsens W 6-1 1800 1604 56.2% 24.8% 19.0% +15.5 41
2018-12-02 Midtjylland L 1-2 1624 1826 18.6% 24.3% 57.1% -3.9 22
2018-12-02 @ Randers W 2-1 1826 1624 57.1% 24.3% 18.6% +3.9 38
2018-12-02 Nordsjaelland L 1-2 1647 1668 37.0% 31.8% 31.2% -7.3 21
2018-12-02 @ Sonderjyske W 2-1 1668 1647 31.2% 31.8% 37.0% +7.3 21
2018-12-03 Vejle BK W 2-1 1625 1566 48.7% 28.6% 22.7% +4.9 21
2018-12-03 @ Aarhus GF L 1-2 1566 1625 22.7% 28.6% 48.7% -4.9 16
2018-12-07 Odense W 3-0 1830 1684 61.1% 21.8% 17.1% +10.1 41
2018-12-07 @ Midtjylland L 0-3 1684 1830 17.1% 21.8% 61.1% -10.1 27
2018-12-08 Sonderjyske D 0-0 1545 1640 27.4% 31.0% 41.6% +0.6 16
2018-12-08 @ Hobro D 0-0 1640 1545 41.6% 31.0% 27.4% -0.6 22
2018-12-09 Horsens L 2-4 1664 1589 51.0% 27.5% 21.4% -14.1 25
2018-12-09 @ Aalborg W 4-2 1589 1664 21.4% 27.5% 51.0% +14.1 27
2018-12-09 Esbjerg W 3-0 1815 1633 66.2% 18.5% 15.3% +8.6 44
2018-12-09 @ FC Copenhagen L 0-3 1633 1815 15.3% 18.5% 66.2% -8.6 26
2018-12-09 Brondby L 1-2 1561 1751 19.4% 25.2% 55.4% -4.1 16
2018-12-09 @ Vejle BK W 2-1 1751 1561 55.4% 25.2% 19.4% +4.1 30
2018-12-09 Randers L 0-1 1553 1620 30.6% 31.7% 37.6% -6.8 16
2018-12-09 @ Vendsyssel W 1-0 1620 1553 37.6% 31.7% 30.6% +6.7 25
2018-12-10 Aarhus GF W 1-0 1676 1630 46.7% 29.4% 23.9% +5.5 24
2018-12-10 @ Nordsjaelland L 0-1 1630 1676 23.9% 29.4% 46.7% -5.5 21
2018-12-14 Aalborg L 1-2 1674 1650 43.7% 30.4% 25.9% -8.1 27
2018-12-14 @ Odense W 2-1 1650 1674 25.9% 30.4% 43.7% +8.2 28
2018-12-15 Vejle BK W 2-0 1627 1557 50.2% 27.9% 21.8% +9.4 28
2018-12-15 @ Randers L 0-2 1557 1627 21.8% 27.9% 50.2% -9.4 16
2018-12-16 Vendsyssel L 2-3 1755 1546 69.8% 16.1% 14.1% -10.5 30
2018-12-16 @ Brondby W 3-2 1546 1755 14.1% 16.1% 69.8% +10.5 19
2018-12-16 Nordsjaelland W 3-0 1624 1681 31.9% 31.9% 36.2% +20.8 29
2018-12-16 @ Esbjerg L 0-3 1681 1624 36.2% 31.9% 31.9% -20.8 24
2018-12-16 Midtjylland L 1-3 1603 1840 16.7% 21.2% 62.1% -5.8 27
2018-12-16 @ Horsens W 3-1 1840 1603 62.1% 21.2% 16.7% +5.8 44
2018-12-16 FC Copenhagen L 0-3 1639 1824 19.7% 25.6% 54.7% -12.2 22
2018-12-16 @ Sonderjyske W 3-0 1824 1639 54.7% 25.6% 19.7% +12.2 47
2018-12-17 Hobro W 1-0 1625 1546 51.6% 27.2% 21.1% +4.8 24
2018-12-17 @ Aarhus GF L 0-1 1546 1625 21.1% 27.2% 51.6% -4.8 16
2019-02-08 Esbjerg W 2-0 1630 1645 38.0% 31.7% 30.3% +12.6 27
2019-02-08 @ Aarhus GF L 0-2 1645 1630 30.3% 31.7% 38.0% -12.6 29
2019-02-09 Sonderjyske W 2-0 1548 1627 29.2% 31.5% 39.4% +15.2 19
2019-02-09 @ Vejle BK L 0-2 1627 1548 39.4% 31.5% 29.2% -15.1 22
2019-02-10 Randers L 0-3 1658 1636 43.2% 30.6% 26.2% -23.5 28
2019-02-10 @ Aalborg W 3-0 1636 1658 26.2% 30.6% 43.2% +23.5 31
2019-02-10 Odense W 6-1 1836 1666 64.5% 19.6% 15.8% +12.1 50
2019-02-10 @ FC Copenhagen L 1-6 1666 1836 15.8% 19.6% 64.5% -12.1 27
2019-02-10 Horsens D 0-0 1541 1597 32.1% 31.9% 36.0% +0.2 17
2019-02-10 @ Hobro D 0-0 1597 1541 36.0% 31.9% 32.1% -0.2 28
2019-02-10 Brondby D 3-3 1660 1745 28.5% 31.3% 40.2% +0.3 25
2019-02-10 @ Nordsjaelland D 3-3 1745 1660 40.2% 31.3% 28.5% -0.3 31
2019-02-11 Midtjylland L 0-1 1557 1846 14.3% 16.6% 69.2% -2.8 19
2019-02-11 @ Vendsyssel W 1-0 1846 1557 69.2% 16.6% 14.3% +2.8 47
2019-02-15 Aarhus GF L 0-2 1612 1642 35.7% 31.9% 32.4% -14.2 22
2019-02-15 @ Sonderjyske W 2-0 1642 1612 32.4% 31.9% 35.7% +14.2 30
2019-02-16 Hobro W 2-1 1661 1541 57.4% 24.1% 18.5% +3.9 28
2019-02-16 @ Nordsjaelland L 1-2 1541 1661 18.5% 24.1% 57.4% -3.9 17
2019-02-17 Brondby W 2-1 1632 1745 25.5% 30.3% 44.2% +8.2 32
2019-02-17 @ Esbjerg L 1-2 1745 1632 44.2% 30.3% 25.5% -8.2 31
2019-02-17 Vendsyssel W 3-0 1597 1554 46.4% 29.5% 24.1% +15.1 31
2019-02-17 @ Horsens L 0-3 1554 1597 24.1% 29.5% 46.4% -15.1 19
2019-02-17 Vejle BK W 1-0 1654 1563 53.3% 26.4% 20.3% +4.6 30
2019-02-17 @ Odense L 0-1 1563 1654 20.3% 26.4% 53.3% -4.6 19
2019-02-17 FC Copenhagen L 0-2 1660 1848 19.5% 25.4% 55.2% -8.3 31
2019-02-17 @ Randers W 2-0 1848 1660 55.2% 25.4% 19.5% +8.3 53
2019-02-18 Aalborg W 2-1 1848 1634 70.5% 15.7% 13.9% +2.5 50
2019-02-18 @ Midtjylland L 1-2 1634 1848 13.9% 15.7% 70.5% -2.6 28
2019-02-22 Sonderjyske W 3-0 1632 1597 45.1% 30.0% 24.9% +15.6 31
2019-02-22 @ Aalborg L 0-3 1597 1632 24.9% 30.0% 45.1% -15.6 22
2019-02-23 Nordsjaelland L 1-3 1558 1665 26.1% 30.6% 43.3% -9.7 19
2019-02-23 @ Vejle BK W 3-1 1665 1558 43.3% 30.6% 26.1% +9.7 31
2019-02-24 Midtjylland L 1-2 1657 1851 19.1% 24.9% 56.1% -4.0 30
2019-02-24 @ Aarhus GF W 2-1 1851 1657 56.1% 24.9% 19.1% +4.0 53
2019-02-24 Randers W 2-1 1736 1652 52.4% 26.8% 20.7% +4.5 34
2019-02-24 @ Brondby L 1-2 1652 1736 20.7% 26.8% 52.4% -4.4 31
2019-02-24 Esbjerg W 2-0 1537 1640 26.4% 30.7% 42.9% +16.1 20
2019-02-24 @ Hobro L 0-2 1640 1537 42.9% 30.7% 26.4% -16.1 32
2019-02-24 Odense L 1-2 1612 1658 33.4% 31.9% 34.6% -6.8 31
2019-02-24 @ Horsens W 2-1 1658 1612 34.6% 31.9% 33.4% +6.8 33
2019-02-25 Vendsyssel D 1-1 1856 1539 82.5% 7.9% 9.6% -2.9 54
2019-02-25 @ FC Copenhagen D 1-1 1539 1856 9.6% 7.9% 82.5% +2.9 20
2019-03-01 Hobro D 1-1 1647 1553 53.8% 26.1% 20.1% -1.4 32
2019-03-01 @ Aalborg D 1-1 1553 1647 20.1% 26.1% 53.8% +1.4 21
2019-03-02 Horsens W 1-0 1624 1605 43.0% 30.7% 26.4% +6.0 35
2019-03-02 @ Esbjerg L 0-1 1605 1624 26.4% 30.7% 43.0% -6.0 31
2019-03-03 Vejle BK W 2-0 1853 1549 81.2% 8.7% 10.1% +3.3 57
2019-03-03 @ FC Copenhagen L 0-2 1549 1853 10.1% 8.7% 81.2% -3.3 19
2019-03-03 Brondby W 2-0 1665 1741 29.5% 31.6% 38.9% +15.0 36
2019-03-03 @ Odense L 0-2 1741 1665 38.9% 31.6% 29.5% -15.0 34
2019-03-03 Randers W 3-0 1582 1647 30.9% 31.8% 37.4% +21.2 25
2019-03-03 @ Sonderjyske L 0-3 1647 1582 37.4% 31.8% 30.9% -21.2 31
2019-03-03 Aarhus GF D 2-2 1542 1652 25.7% 30.4% 44.0% +0.5 21
2019-03-03 @ Vendsyssel D 2-2 1652 1542 44.0% 30.4% 25.7% -0.5 31
2019-03-04 Nordsjaelland D 3-3 1855 1674 66.0% 18.7% 15.3% -1.3 54
2019-03-04 @ Midtjylland D 3-3 1674 1855 15.3% 18.7% 66.0% +1.3 32
2019-03-08 Midtjylland L 1-2 1555 1854 13.8% 15.7% 70.5% -2.5 21
2019-03-08 @ Hobro W 2-1 1854 1555 70.5% 15.7% 13.8% +2.5 57
2019-03-09 Vendsyssel D 1-1 1545 1542 40.6% 31.2% 28.2% -0.5 20
2019-03-09 @ Vejle BK D 1-1 1542 1545 28.2% 31.2% 40.6% +0.5 22
2019-03-10 Aalborg D 3-3 1726 1646 51.8% 27.2% 21.1% -0.8 35
2019-03-10 @ Brondby D 3-3 1646 1726 21.1% 27.2% 51.8% +0.8 33
2019-03-10 FC Copenhagen D 2-2 1676 1857 19.9% 25.9% 54.2% +1.1 33
2019-03-10 @ Nordsjaelland D 2-2 1857 1676 54.2% 25.9% 19.9% -1.1 58
2019-03-10 Horsens W 2-0 1626 1599 44.1% 30.3% 25.6% +11.0 34
2019-03-10 @ Randers L 0-2 1599 1626 25.6% 30.3% 44.1% -11.0 31
2019-03-10 Esbjerg W 3-1 1603 1630 36.2% 31.9% 31.9% +11.4 28
2019-03-10 @ Sonderjyske L 1-3 1630 1603 31.9% 31.9% 36.2% -11.4 35
2019-03-11 Odense L 1-2 1652 1680 36.1% 31.9% 32.1% -7.1 31
2019-03-11 @ Aarhus GF W 2-1 1680 1652 32.1% 31.9% 36.1% +7.1 39
2019-03-17 Aarhus GF W 3-1 1647 1645 40.4% 31.3% 28.3% +10.4 36
2019-03-17 @ Aalborg L 1-3 1645 1647 28.3% 31.3% 40.4% -10.4 31
2019-03-17 Vejle BK W 2-1 1619 1545 50.9% 27.6% 21.5% +4.6 38
2019-03-17 @ Esbjerg L 1-2 1545 1619 21.5% 27.6% 50.9% -4.7 20
2019-03-17 Hobro W 3-1 1856 1552 81.1% 8.8% 10.2% +2.8 61
2019-03-17 @ FC Copenhagen L 1-3 1552 1856 10.2% 8.8% 81.1% -2.9 21
2019-03-17 Brondby L 1-3 1588 1725 23.2% 29.0% 47.8% -8.7 31
2019-03-17 @ Horsens W 3-1 1725 1588 47.8% 29.0% 23.2% +8.7 38
2019-03-17 Sonderjyske W 2-1 1856 1614 74.0% 13.4% 12.7% +2.2 60
2019-03-17 @ Midtjylland L 1-2 1614 1856 12.7% 13.4% 74.0% -2.2 28
2019-03-17 Randers W 1-0 1687 1637 47.4% 29.1% 23.4% +5.4 42
2019-03-17 @ Odense L 0-1 1637 1687 23.4% 29.1% 47.4% -5.4 34
2019-03-17 Nordsjaelland L 0-1 1543 1677 23.5% 29.2% 47.3% -5.4 22
2019-03-17 @ Vendsyssel W 1-0 1677 1543 47.3% 29.2% 23.5% +5.4 36

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
2019-03-29 Odense D 2-2 1734 1693 46.2% 29.6% 24.2% -0.7 1
2019-03-29 @ Brondby D 2-2 1693 1734 24.2% 29.6% 46.2% +0.7 1
2019-03-30 Nordsjaelland D 0-0 1858 1682 65.4% 19.1% 15.6% -2.3 1
2019-03-30 @ Midtjylland D 0-0 1682 1858 15.6% 19.1% 65.4% +2.3 1
2019-03-31 Randers L 1-2 1657 1632 43.9% 30.4% 25.8% -8.2 0
2019-03-31 @ Aalborg W 2-1 1632 1657 25.8% 30.4% 43.9% +8.2 3
2019-03-31 Esbjerg W 1-0 1858 1624 73.1% 13.9% 13.0% +2.5 3
2019-03-31 @ FC Copenhagen L 0-1 1624 1858 13.0% 13.9% 73.1% -2.5 0
2019-03-31 Horsens D 0-0 1612 1579 44.9% 30.0% 25.0% -0.9 1
2019-03-31 @ Sonderjyske D 0-0 1579 1612 25.0% 30.0% 44.9% +0.9 1
2019-03-31 Hobro D 3-3 1537 1549 38.4% 31.6% 29.9% -0.2 1
2019-03-31 @ Vendsyssel D 3-3 1549 1537 29.9% 31.6% 38.4% +0.2 1
2019-04-01 Vejle BK D 2-2 1634 1540 53.8% 26.1% 20.1% -1.0 1
2019-04-01 @ Aarhus GF D 2-2 1540 1634 20.1% 26.1% 53.8% +1.0 1
2019-04-05 Aarhus GF L 0-3 1580 1633 32.5% 31.9% 35.6% -19.3 1
2019-04-05 @ Horsens W 3-0 1633 1580 35.6% 31.9% 32.5% +19.3 4
2019-04-06 Vendsyssel D 1-1 1640 1537 55.0% 25.5% 19.5% -1.5 4
2019-04-06 @ Randers D 1-1 1537 1640 19.5% 25.5% 55.0% +1.5 2
2019-04-07 Midtjylland D 2-2 1621 1856 16.8% 21.4% 61.8% +1.4 1
2019-04-07 @ Esbjerg D 2-2 1856 1621 61.8% 21.4% 16.8% -1.4 2
2019-04-07 Aalborg D 1-1 1549 1649 26.8% 30.8% 42.3% +0.6 2
2019-04-07 @ Hobro D 1-1 1649 1549 42.3% 30.8% 26.8% -0.6 1
2019-04-07 FC Copenhagen L 0-1 1693 1861 20.8% 26.9% 52.2% -4.8 1
2019-04-07 @ Odense W 1-0 1861 1693 52.2% 26.9% 20.8% +4.8 6
2019-04-07 Sonderjyske W 4-1 1541 1611 30.3% 31.7% 38.1% +18.1 4
2019-04-07 @ Vejle BK L 1-4 1611 1541 38.1% 31.7% 30.3% -18.1 1
2019-04-08 Brondby D 1-1 1684 1733 33.1% 31.9% 35.0% +0.1 2
2019-04-08 @ Nordsjaelland D 1-1 1733 1684 35.0% 31.9% 33.1% -0.1 2
2019-04-12 Horsens W 3-0 1559 1561 39.9% 31.4% 28.7% +17.6 7
2019-04-12 @ Vejle BK L 0-3 1561 1559 28.7% 31.4% 39.9% -17.6 1
2019-04-13 Aalborg W 1-0 1539 1648 25.8% 30.4% 43.8% +8.7 5
2019-04-13 @ Vendsyssel L 0-1 1648 1539 43.8% 30.4% 25.8% -8.7 1
2019-04-14 FC Copenhagen L 1-2 1733 1866 23.6% 29.2% 47.2% -5.1 2
2019-04-14 @ Brondby W 2-1 1866 1733 47.2% 29.2% 23.6% +5.1 9
2019-04-14 Randers L 1-2 1550 1638 28.1% 31.2% 40.7% -6.0 2
2019-04-14 @ Hobro W 2-1 1638 1550 40.7% 31.2% 28.1% +6.0 7
2019-04-14 Odense W 2-0 1855 1688 64.0% 20.0% 16.0% +6.3 5
2019-04-14 @ Midtjylland L 0-2 1688 1855 16.0% 20.0% 64.0% -6.3 1
2019-04-14 Esbjerg L 1-2 1684 1622 49.1% 28.4% 22.4% -8.9 2
2019-04-14 @ Nordsjaelland W 2-1 1622 1684 22.4% 28.4% 49.1% +8.8 4
2019-04-15 Aarhus GF L 0-1 1593 1653 31.6% 31.8% 36.5% -6.9 1
2019-04-15 @ Sonderjyske W 1-0 1653 1593 36.5% 31.8% 31.6% +6.9 7
2019-04-17 Vendsyssel D 1-1 1640 1547 53.5% 26.3% 20.2% -1.4 2
2019-04-17 @ Aalborg D 1-1 1547 1640 20.2% 26.3% 53.5% +1.4 6
2019-04-18 Sonderjyske W 2-1 1660 1586 50.8% 27.7% 21.6% +4.7 10
2019-04-18 @ Aarhus GF L 1-2 1586 1660 21.6% 27.7% 50.8% -4.7 1
2019-04-18 Brondby W 1-0 1631 1728 27.1% 30.9% 41.9% +8.4 7
2019-04-18 @ Esbjerg L 0-1 1728 1631 41.9% 30.9% 27.1% -8.4 2
2019-04-18 Midtjylland W 3-0 1871 1861 41.6% 31.0% 27.4% +17.0 12
2019-04-18 @ FC Copenhagen L 0-3 1861 1871 27.4% 31.0% 41.6% -17.0 5
2019-04-18 Vejle BK D 0-0 1543 1577 35.2% 31.9% 32.8% -0.1 2
2019-04-18 @ Horsens D 0-0 1577 1543 32.8% 31.9% 35.2% +0.1 8
2019-04-19 Nordsjaelland D 2-2 1682 1676 41.1% 31.1% 27.8% -0.4 2
2019-04-19 @ Odense D 2-2 1676 1682 27.8% 31.1% 41.1% +0.4 3
2019-04-19 Hobro W 1-0 1644 1544 54.6% 25.7% 19.7% +4.5 10
2019-04-19 @ Randers L 0-1 1544 1644 19.7% 25.7% 54.6% -4.5 2
2019-04-21 Sonderjyske L 0-1 1543 1582 34.6% 31.9% 33.5% -7.4 2
2019-04-21 @ Horsens W 1-0 1582 1543 33.5% 31.9% 34.6% +7.3 4
2019-04-21 Aarhus GF L 2-4 1577 1664 28.2% 31.2% 40.5% -9.2 8
2019-04-21 @ Vejle BK W 4-2 1664 1577 40.5% 31.2% 28.2% +9.2 13
2019-04-22 Vendsyssel W 3-2 1540 1549 38.8% 31.6% 29.6% +5.9 5
2019-04-22 @ Hobro L 2-3 1549 1540 29.6% 31.6% 38.8% -5.9 6
2019-04-22 Brondby L 1-2 1844 1720 58.1% 23.7% 18.2% -9.9 5
2019-04-22 @ Midtjylland W 2-1 1720 1844 18.2% 23.7% 58.1% +9.9 5
2019-04-22 FC Copenhagen L 0-3 1676 1888 18.1% 23.4% 58.5% -10.9 3
2019-04-22 @ Nordsjaelland W 3-0 1888 1676 58.5% 23.4% 18.1% +10.9 15
2019-04-22 Aalborg L 0-2 1649 1638 41.7% 31.0% 27.3% -15.8 10
2019-04-22 @ Randers W 2-0 1638 1649 27.3% 31.0% 41.7% +15.8 5
2019-04-23 Odense D 0-0 1640 1682 34.1% 31.9% 34.0% -0.0 8
2019-04-23 @ Esbjerg D 0-0 1682 1640 34.0% 31.9% 34.1% +0.0 3
2019-04-26 Hobro D 1-1 1654 1545 55.8% 25.0% 19.2% -1.5 6
2019-04-26 @ Aalborg D 1-1 1545 1654 19.2% 25.0% 55.8% +1.5 6
2019-04-26 Randers D 0-0 1543 1633 27.9% 31.2% 41.0% +0.6 7
2019-04-26 @ Vendsyssel D 0-0 1633 1543 41.0% 31.2% 27.9% -0.6 11
2019-04-28 Horsens W 3-1 1673 1536 60.0% 22.5% 17.5% +6.2 16
2019-04-28 @ Aarhus GF L 1-3 1536 1673 17.5% 22.5% 60.0% -6.2 2
2019-04-28 Esbjerg L 0-1 1729 1640 53.2% 26.5% 20.4% -9.9 5
2019-04-28 @ Brondby W 1-0 1640 1729 20.4% 26.5% 53.2% +9.9 11
2019-04-28 Odense W 4-0 1899 1682 70.8% 15.5% 13.7% +9.6 18
2019-04-28 @ FC Copenhagen L 0-4 1682 1899 13.7% 15.5% 70.8% -9.5 3
2019-04-28 Vejle BK W 4-1 1589 1568 43.2% 30.6% 26.2% +13.8 7
2019-04-28 @ Sonderjyske L 1-4 1568 1589 26.2% 30.6% 43.2% -13.8 8
2019-04-29 Midtjylland L 1-2 1665 1834 20.7% 26.8% 52.4% -4.5 3
2019-04-29 @ Nordsjaelland W 2-1 1834 1665 52.4% 26.8% 20.7% +4.5 8
2019-05-05 Brondby W 3-2 1908 1720 67.0% 18.0% 15.0% +2.7 21
2019-05-05 @ FC Copenhagen L 2-3 1720 1908 15.0% 18.0% 67.0% -2.7 5
2019-05-05 Midtjylland W 3-1 1672 1839 20.9% 27.0% 52.0% +15.9 6
2019-05-05 @ Odense L 1-3 1839 1672 52.0% 27.0% 20.9% -15.9 8
2019-05-06 Nordsjaelland D 0-0 1650 1661 38.6% 31.6% 29.8% -0.4 12
2019-05-06 @ Esbjerg D 0-0 1661 1650 29.8% 31.6% 38.6% +0.4 4
2019-05-10 Esbjerg W 4-1 1688 1649 45.8% 29.8% 24.4% +12.9 9
2019-05-10 @ Odense L 1-4 1649 1688 24.4% 29.8% 45.8% -12.9 12
2019-05-12 FC Copenhagen W 4-0 1823 1911 28.1% 31.2% 40.7% +29.4 11
2019-05-12 @ Midtjylland L 0-4 1911 1823 40.7% 31.2% 28.1% -29.4 21
2019-05-13 Nordsjaelland W 2-0 1717 1661 48.3% 28.8% 22.9% +9.9 8
2019-05-13 @ Brondby L 0-2 1661 1717 22.9% 28.8% 48.3% -9.9 4
2019-05-19 FC Copenhagen W 4-3 1636 1882 16.3% 20.5% 63.2% +9.7 15
2019-05-19 @ Esbjerg L 3-4 1882 1636 63.2% 20.5% 16.3% -9.7 21
2019-05-19 Odense D 2-2 1651 1701 32.9% 31.9% 35.1% +0.1 5
2019-05-19 @ Nordsjaelland D 2-2 1701 1651 35.1% 31.9% 32.9% -0.1 10
2019-05-20 Midtjylland W 4-1 1727 1852 24.2% 29.6% 46.1% +20.7 11
2019-05-20 @ Brondby L 1-4 1852 1727 46.1% 29.6% 24.2% -20.7 11
2019-05-25 Nordsjaelland L 1-3 1872 1651 71.3% 15.1% 13.6% -19.5 21
2019-05-25 @ FC Copenhagen W 3-1 1651 1872 13.6% 15.1% 71.3% +19.5 8
2019-05-25 Esbjerg L 1-2 1831 1646 66.6% 18.2% 15.1% -10.8 11
2019-05-25 @ Midtjylland W 2-1 1646 1831 15.1% 18.2% 66.6% +10.8 18
2019-05-25 Brondby L 0-2 1701 1748 33.4% 31.9% 34.6% -13.5 10
2019-05-25 @ Odense W 2-0 1748 1701 34.6% 31.9% 33.4% +13.5 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
2019-05-05 Aarhus GF L 0-1 1652 1680 36.2% 31.9% 32.0% -7.6 0-1
2019-05-05 @ Aalborg W 1-0 1680 1652 32.0% 31.9% 36.2% +7.6 1-0
2019-05-05 Randers D 1-1 1603 1632 35.9% 31.9% 32.3% -0.1 0-0-1
2019-05-05 @ Sonderjyske D 1-1 1632 1603 32.3% 31.9% 35.9% +0.1 0-0-1
2019-05-12 Vejle BK L 0-1 1547 1554 39.1% 31.5% 29.4% -8.0 0-1
2019-05-12 @ Hobro W 1-0 1554 1547 29.4% 31.5% 39.1% +8.0 1-0
2019-05-12 Horsens L 0-1 1543 1530 42.1% 30.9% 27.0% -8.4 0-1
2019-05-12 @ Vendsyssel W 1-0 1530 1543 27.0% 30.9% 42.1% +8.4 1-0
2019-05-12 Sonderjyske W 4-3 1632 1603 44.5% 30.2% 25.3% +5.0 1-0-1
2019-05-12 @ Randers L 3-4 1603 1632 25.3% 30.2% 44.5% -5.0 0-1-1
2019-05-12 Aalborg W 2-0 1687 1645 46.3% 29.6% 24.1% +10.4 2-0
2019-05-12 @ Aarhus GF L 0-2 1645 1687 24.1% 29.6% 46.3% -10.4 0-2
2019-05-18 Aarhus GF W 2-1 1637 1698 31.5% 31.8% 36.6% +7.2 2-0-1
2019-05-18 @ Randers L 1-2 1698 1637 36.6% 31.8% 31.5% -7.2 2-1
2019-05-19 Vendsyssel D 1-1 1538 1535 40.6% 31.2% 28.2% -0.5 1-0-1
2019-05-19 @ Horsens D 1-1 1535 1538 28.2% 31.2% 40.6% +0.5 0-1-1
2019-05-19 Hobro L 0-2 1562 1539 43.5% 30.5% 26.0% -16.3 1-1
2019-05-19 @ Vejle BK W 2-0 1539 1562 26.0% 30.5% 43.5% +16.2 1-1
2019-05-26 Randers D 1-1 1690 1645 46.8% 29.4% 23.8% -0.9 2-1-1
2019-05-26 @ Aarhus GF D 1-1 1645 1690 23.8% 29.4% 46.8% +0.9 2-0-2
2019-05-30 Viborg W 1-0 1555 1577 36.9% 31.8% 31.3% +6.8 2-1
2019-05-30 @ Hobro L 0-1 1577 1555 31.3% 31.8% 36.9% -6.8 0-1
2019-05-30 Vendsyssel W 2-1 1509 1535 36.2% 31.9% 31.9% +6.5 1-0
2019-05-30 @ Lyngby L 1-2 1535 1509 31.9% 31.9% 36.2% -6.5 0-2-1
2019-05-31 Randers W 4-2 1761 1646 56.8% 24.4% 18.8% +6.1 1-0
2019-05-31 @ Brondby L 2-4 1646 1761 18.8% 24.4% 56.8% -6.1 2-1-2
2019-06-02 Lyngby D 2-2 1529 1515 42.2% 30.9% 27.0% -0.5 0-2-2
2019-06-02 @ Vendsyssel D 2-2 1515 1529 27.0% 30.9% 42.2% +0.4 1-0-1
2019-06-02 Hobro L 0-2 1570 1562 41.4% 31.1% 27.6% -15.7 0-2
2019-06-02 @ Viborg W 2-0 1562 1570 27.6% 31.1% 41.4% +15.7 3-1

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 2019-05-25 13.57% Nordsjaelland 1651 3 @ FC Copenhagen 1872 1
2 2018-12-16 14.07% Vendsyssel 1546 3 @ Brondby 1755 2
3 2019-05-25 15.14% Esbjerg 1646 2 @ Midtjylland 1831 1
4 2019-05-19 16.31% @ Esbjerg 1636 4 FC Copenhagen 1882 3
5 2018-08-19 16.52% Esbjerg 1612 1 @ Brondby 1769 0
6 2018-09-30 17.24% Horsens 1597 2 @ Brondby 1739 1
7 2018-09-16 18.12% Sonderjyske 1635 4 @ Brondby 1762 2
8 2019-04-22 18.22% Brondby 1720 2 @ Midtjylland 1844 1
9 2018-09-30 18.63% @ Vendsyssel 1568 2 FC Copenhagen 1770 1
10 2018-07-16 19.53% Horsens 1617 2 @ FC Copenhagen 1719 1
11 2018-08-26 20.22% Horsens 1604 1 @ Nordsjaelland 1696 0
12 2018-10-28 20.38% Vendsyssel 1563 1 @ Aalborg 1653 0
13 2019-04-28 20.38% Esbjerg 1640 1 @ Brondby 1729 0
14 2019-05-05 20.92% @ Odense 1672 3 Midtjylland 1839 1
15 2018-10-07 21.38% @ Hobro 1546 3 Nordsjaelland 1706 2
16 2018-12-09 21.43% Horsens 1589 4 @ Aalborg 1664 2
17 2019-04-14 22.44% Esbjerg 1622 2 @ Nordsjaelland 1684 1
18 2018-11-04 22.51% Randers 1599 2 @ Aarhus GF 1660 0
19 2019-05-20 24.25% @ Brondby 1727 4 Midtjylland 1852 1
20 2018-11-26 24.51% Horsens 1596 2 @ Aarhus GF 1634 1
21 2018-09-30 25.19% Odense 1641 1 @ Aalborg 1672 0
22 2019-02-17 25.47% @ Esbjerg 1632 2 Brondby 1745 1
23 2018-08-27 25.48% Esbjerg 1623 1 @ Aalborg 1651 0
24 2018-07-20 25.49% @ Aalborg 1646 2 Midtjylland 1759 1
25 2019-03-31 25.75% Randers 1632 2 @ Aalborg 1657 1

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 2018-09-23 30.34 Aalborg 5 1642 36.72% @ Hobro 0 1581 31.46%
2 2019-05-12 29.43 @ Midtjylland 4 1823 28.07% FC Copenhagen 0 1911 40.71%
3 2019-02-10 23.51 Randers 3 1636 26.17% @ Aalborg 0 1658 43.25%
4 2018-09-24 22.98 @ Odense 4 1618 39.92% Horsens 0 1620 28.71%
5 2019-03-03 21.23 @ Sonderjyske 3 1582 30.88% Randers 0 1647 37.36%
6 2018-12-16 20.77 @ Esbjerg 3 1624 31.94% Nordsjaelland 0 1681 36.19%
7 2019-05-20 20.73 @ Brondby 4 1727 24.25% Midtjylland 1 1852 46.10%
8 2019-05-25 19.46 Nordsjaelland 3 1651 13.57% @ FC Copenhagen 1 1872 71.29%
9 2019-04-05 19.28 Aarhus GF 3 1633 35.62% @ Horsens 0 1580 32.48%
10 2018-11-30 19.16 Aalborg 4 1644 27.69% @ Esbjerg 1 1652 41.20%
11 2019-04-07 18.12 @ Vejle BK 4 1541 30.27% Sonderjyske 1 1611 38.06%
12 2018-07-29 17.69 @ FC Copenhagen 4 1727 50.72% Aalborg 0 1654 21.59%
13 2018-11-04 17.67 Randers 2 1599 22.51% @ Aarhus GF 0 1660 49.03%
14 2019-04-12 17.59 @ Vejle BK 3 1559 39.94% Horsens 0 1561 28.69%
15 2018-07-23 17.47 FC Copenhagen 3 1710 40.24% @ Hobro 0 1625 28.44%
16 2019-04-18 16.95 @ FC Copenhagen 3 1871 41.57% Midtjylland 0 1861 27.41%
17 2018-08-19 16.73 @ Randers 3 1623 42.17% Hobro 0 1609 26.96%
18 2019-05-19 * 16.26 Hobro 2 1539 25.98% @ Vejle BK 0 1562 43.51%
19 2019-02-24 16.09 @ Hobro 2 1537 26.43% Esbjerg 0 1640 42.89%
20 2019-05-05 15.94 @ Odense 3 1672 20.92% Midtjylland 1 1839 52.05%
21 2019-04-22 15.77 Aalborg 2 1638 27.33% @ Randers 0 1649 41.67%
22 2019-06-02 * 15.69 Hobro 2 1562 27.56% @ Viborg 0 1570 41.37%
23 2019-02-22 15.60 @ Aalborg 3 1632 45.11% Sonderjyske 0 1597 24.89%
24 2018-12-02 15.53 FC Copenhagen 6 1800 56.24% @ Horsens 1 1604 18.99%
25 2018-09-16 15.40 Sonderjyske 4 1635 18.12% @ Brondby 2 1762 58.38%