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1989 1st Division Season

182 games

Final

Champion

Odense

41 points · 3rd Title

Last Title: 1982

Relegated

B 1913

13 pts

Bronshoj · 13 pts

Biggest Overachiever

Odense

9.96 points above expected

41 points · 31.04 expected points

Biggest Disappointment

Bronshoj

6.37 points below expected

13 points · 19.37 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 Odense Champion 26 17 7 2 41 45 19 +26 31.04 +9.96
2 Brondby 26 17 4 5 38 52 26 +26 36.12 +1.88
3 Lyngby 26 15 8 3 38 48 24 +24 30.98 +7.02
4 Vejle BK 26 14 6 6 34 45 27 +18 30.93 +3.07
5 Aarhus GF 26 10 13 3 33 39 22 +17 31.21 +1.79
6 B 1903 26 8 11 7 27 33 28 +5 29.02 -2.02
7 Silkeborg 26 7 11 8 25 31 29 +2 26.38 -1.38
8 Frem 26 9 5 12 23 34 38 -4 19.77 +3.23
9 Naestved 26 8 7 11 23 35 40 -5 27.03 -4.03
10 Ikast 26 6 9 11 21 28 43 -15 22.51 -1.51
11 Aalborg 26 5 9 12 19 30 39 -9 21.82 -2.82
12 Herfolge 26 5 6 15 16 17 45 -28 19.08 -3.08
13 B 1913 Relegated 26 4 5 17 13 25 52 -27 18.73 -5.73
14 Bronshoj Relegated 26 4 5 17 13 26 56 -30 19.37 -6.37

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Odense 1771 41 31.04 +9.96 99.7% 17 24 28 31 34 37 47
Lyngby 1746 38 30.98 +7.02 97.6% 16 24 28 31 34 37 45
Brondby 1723 38 36.12 +1.88 73.7% 20 30 34 36 39 42 48
Aarhus GF 1711 33 31.21 +1.79 71.3% 13 25 29 31 34 38 46
Vejle BK 1675 34 30.93 +3.07 81.3% 14 24 28 31 34 37 44
B 1903 1570 27 29.02 -2.02 35.0% 15 23 26 29 32 36 45
Silkeborg 1567 25 26.38 -1.38 40.9% 12 20 24 26 29 33 41
Naestved 1547 23 27.03 -4.03 18.6% 12 21 24 27 30 34 41
Frem 1534 23 19.77 +3.23 83.0% 7 13 17 20 22 26 36
Ikast 1468 21 22.51 -1.51 40.0% 8 16 20 22 25 29 39
Aalborg 1457 19 21.82 -2.82 28.1% 7 15 19 22 25 28 36
Bronshoj 1393 13 19.37 -6.37 6.1% 5 13 17 19 22 26 33
Herfolge 1392 16 19.08 -3.08 25.4% 6 13 16 19 22 25 33
B 1913 1376 13 18.73 -5.73 8.7% 6 12 16 19 21 25 36

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 B1 B1 BRO BRO FRE HER IKA LYN NAE ODE SIL VB
Aalborg —
0-1-1
1.58
0-1-1
1.81
1-0-1
3.15
1-0-1
1.32
0-0-2
3.11
0-2-0
3.03
2-0-0
2.89
0-1-1
2.46
0-1-1
1.69
1-0-1
1.84
0-1-1
1.77
0-1-1
2.49
0-1-1
1.56
Aarhus GF
1-1-0
3.84
 —
1-1-0
2.96
2-0-0
3.75
0-0-2
2.04
0-2-0
4.18
2-0-0
3.93
1-1-0
3.72
1-1-0
3.96
1-1-0
2.78
1-1-0
3.32
0-1-1
2.65
0-2-0
3.20
0-2-0
2.56
B 1903
1-1-0
3.59
0-1-1
2.43
 —
1-1-0
3.81
0-1-1
1.73
2-0-0
3.76
0-1-1
3.87
2-0-0
3.71
0-2-0
3.41
0-1-1
2.41
0-0-2
3.22
0-2-0
2.47
1-1-0
2.97
1-0-1
2.28
B 1913
1-0-1
2.25
0-0-2
1.68
0-1-1
1.61
 —
0-0-2
1.06
1-0-1
2.45
0-0-2
2.57
0-1-1
2.87
1-1-0
2.16
0-0-2
1.55
0-1-1
1.89
0-0-2
1.12
1-1-0
1.54
0-0-2
1.54
Brondby
1-0-1
4.11
2-0-0
3.36
1-1-0
3.67
2-0-0
4.40
 —
2-0-0
4.29
2-0-0
4.35
1-0-1
4.44
1-1-0
4.22
0-1-1
3.30
2-0-0
3.69
1-0-1
3.51
1-1-0
3.74
1-0-1
3.31
Bronshoj
2-0-0
2.28
0-2-0
1.27
0-0-2
1.66
1-0-1
2.94
0-0-2
1.16
 —
0-1-1
2.23
0-2-0
2.64
1-0-1
2.25
0-0-2
1.69
0-0-2
1.81
0-0-2
1.24
0-0-2
2.06
0-0-2
1.86
Frem
0-2-0
2.35
0-0-2
1.49
1-1-0
1.54
2-0-0
2.81
0-0-2
1.10
1-1-0
3.15
 —
1-0-1
2.54
1-0-1
2.47
0-0-2
1.66
1-1-0
1.86
0-0-2
1.43
1-0-1
1.93
1-0-1
1.47
Herfolge
0-0-2
2.49
0-1-1
1.68
0-0-2
1.69
1-1-0
2.52
1-0-1
1.03
0-2-0
2.75
1-0-1
2.85
 —
0-1-1
2.28
0-0-2
1.21
1-1-0
1.46
0-0-2
1.97
1-0-1
1.57
0-0-2
1.20
Ikast
1-1-0
2.92
0-1-1
1.45
0-2-0
1.99
0-1-1
3.23
0-1-1
1.22
1-0-1
3.14
1-0-1
2.92
1-1-0
3.11
 —
0-0-2
1.96
1-0-1
2.16
0-1-1
1.95
1-1-0
2.04
0-0-2
1.90
Lyngby
1-1-0
3.71
0-1-1
2.61
1-1-0
2.97
2-0-0
3.86
1-1-0
2.10
2-0-0
3.71
2-0-0
3.74
2-0-0
4.23
2-0-0
3.44
 —
1-1-0
3.09
0-1-1
2.43
0-1-1
3.63
1-1-0
3.00
Naestved
1-0-1
3.56
0-1-1
2.07
2-0-0
2.17
1-1-0
3.50
0-0-2
1.72
2-0-0
3.59
0-1-1
3.54
0-1-1
3.95
1-0-1
3.23
0-1-1
2.30
 —
1-0-1
2.01
0-1-1
2.87
0-1-1
2.08
Odense
1-1-0
3.62
1-1-0
2.73
0-2-0
2.92
2-0-0
4.33
1-0-1
1.88
2-0-0
4.20
2-0-0
3.98
2-0-0
3.46
1-1-0
3.44
1-1-0
2.96
1-0-1
3.39
 —
1-1-0
3.15
2-0-0
2.75
Silkeborg
1-1-0
2.89
0-2-0
2.19
0-1-1
2.42
0-1-1
3.87
0-1-1
1.67
2-0-0
3.33
1-0-1
3.46
1-0-1
3.84
0-1-1
3.35
1-1-0
1.77
1-1-0
2.51
0-1-1
2.25
 —
0-1-1
2.13
Vejle BK
1-1-0
3.86
0-2-0
2.82
1-0-1
3.10
2-0-0
3.88
1-0-1
2.08
2-0-0
3.56
1-0-1
3.95
2-0-0
4.25
2-0-0
3.51
0-1-1
2.39
1-1-0
3.31
0-0-2
2.64
1-1-0
3.27
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.85 +8.8
Allowed 0.88 -7.7
Differential 0.97 +4.6

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
07.14%7.14%6.32%3.57%1.92%0.27%26.37%
17.14%15.93%6.87%4.40%1.92%0.27%36.54%
26.32%6.87%5.49%1.65%0.55%—20.88%
33.57%4.40%1.65%0.55%—0.27%10.44%
41.92%1.92%0.55%——0.27%4.67%
5+0.27%0.27%—0.27%0.27%—1.10%
Total26.37%36.54%20.88%10.44%4.67%1.10%100%

Summary Statistics

Scored Allowed Difference
Mean 1.34 1.34 +0.00
SD 1.18 1.18 1.77
CV 0.88 0.88 —
Max 6 6 +6
Min 0 0 -6

Games Played: 182

↓ Scored | Allowed →012345+Total
03.85%11.54%11.54%———26.92%
13.85%19.23%11.54%7.69%——42.31%
211.54%3.85%7.69%———23.08%
3———3.85%——3.85%
4—————3.85%3.85%
5+———————
Total19.23%34.62%30.77%11.54%—3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.50 -0.35
SD 1.01 1.17 1.23
CV 0.87 0.78 —
Max 4 5 +2
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%—3.85%———19.23%
17.69%26.92%3.85%3.85%——42.31%
215.38%—7.69%———23.08%
33.85%—————3.85%
43.85%3.85%————7.69%
5+———3.85%——3.85%
Total46.15%30.77%15.38%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 0.85 +0.65
SD 1.30 0.97 1.47
CV 0.87 1.14 —
Max 5 3 +4
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%11.54%3.85%7.69%——34.62%
1—23.08%3.85%———26.92%
27.69%3.85%7.69%———19.23%
33.85%7.69%3.85%———15.38%
43.85%—————3.85%
5+———————
Total26.92%46.15%19.23%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.08 +0.19
SD 1.22 0.89 1.65
CV 0.96 0.83 —
Max 4 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%7.69%11.54%—11.54%—38.46%
13.85%11.54%11.54%11.54%3.85%—42.31%
2———7.69%——7.69%
3—7.69%————7.69%
4——3.85%———3.85%
5+———————
Total11.54%26.92%26.92%19.23%15.38%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.96 2.00 -1.04
SD 1.08 1.26 1.71
CV 1.12 0.63 —
Max 4 4 +2
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%3.85%11.54%—3.85%—23.08%
13.85%7.69%————11.54%
27.69%15.38%3.85%———26.92%
37.69%7.69%3.85%———19.23%
47.69%11.54%————19.23%
5+———————
Total30.77%46.15%19.23%—3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 1.00 +1.00
SD 1.44 0.94 2.02
CV 0.72 0.94 —
Max 4 4 +4
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—19.23%7.69%3.85%3.85%3.85%38.46%
1—15.38%7.69%7.69%3.85%3.85%38.46%
2——3.85%—3.85%—7.69%
3—11.54%3.85%———15.38%
4———————
5+———————
Total—46.15%23.08%11.54%11.54%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 2.15 -1.15
SD 1.06 1.43 1.91
CV 1.06 0.67 —
Max 3 6 +2
Min 0 1 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%15.38%3.85%3.85%——26.92%
13.85%7.69%15.38%—7.69%—34.62%
23.85%11.54%7.69%———23.08%
37.69%—3.85%———11.54%
4——3.85%———3.85%
5+———————
Total19.23%34.62%34.62%3.85%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.31 1.46 -0.15
SD 1.12 1.10 1.67
CV 0.86 0.76 —
Max 4 4 +3
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%11.54%19.23%3.85%—46.15%
115.38%11.54%7.69%3.85%3.85%—42.31%
23.85%—7.69%———11.54%
3———————
4———————
5+———————
Total23.08%19.23%26.92%23.08%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.65 1.73 -1.08
SD 0.69 1.28 1.65
CV 1.05 0.74 —
Max 2 4 +2
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%3.85%7.69%7.69%——26.92%
17.69%19.23%3.85%7.69%3.85%—42.31%
2—11.54%7.69%3.85%3.85%—26.92%
3—3.85%————3.85%
4———————
5+———————
Total15.38%38.46%19.23%19.23%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.08 1.65 -0.58
SD 0.84 1.20 1.42
CV 0.78 0.72 —
Max 3 4 +2
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%—3.85%———11.54%
115.38%15.38%————30.77%
211.54%7.69%7.69%3.85%——30.77%
3—11.54%———3.85%15.38%
47.69%3.85%————11.54%
5+———————
Total42.31%38.46%11.54%3.85%—3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.85 0.92 +0.92
SD 1.19 1.16 1.52
CV 0.64 1.26 —
Max 4 5 +4
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%3.85%7.69%3.85%——19.23%
17.69%19.23%11.54%11.54%3.85%—53.85%
2—7.69%3.85%———11.54%
37.69%—————7.69%
43.85%—————3.85%
5+————3.85%—3.85%
Total23.08%30.77%23.08%15.38%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.35 1.54 -0.19
SD 1.23 1.24 1.79
CV 0.91 0.81 —
Max 5 4 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%———3.85%—15.38%
111.54%11.54%3.85%———26.92%
215.38%15.38%————30.77%
311.54%7.69%—3.85%——23.08%
4—3.85%————3.85%
5+———————
Total50.00%38.46%3.85%3.85%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 0.73 +1.00
SD 1.12 1.00 1.52
CV 0.64 1.37 —
Max 4 4 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%7.69%—3.85%——26.92%
17.69%26.92%7.69%3.85%——46.15%
23.85%3.85%—7.69%——15.38%
33.85%—3.85%———7.69%
4———————
5+—3.85%————3.85%
Total30.77%42.31%11.54%15.38%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.19 1.12 +0.08
SD 1.17 1.03 1.44
CV 0.98 0.93 —
Max 5 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%3.85%———15.38%
111.54%7.69%7.69%3.85%——30.77%
27.69%15.38%11.54%———34.62%
33.85%3.85%3.85%———11.54%
4—3.85%————3.85%
5+3.85%—————3.85%
Total30.77%38.46%26.92%3.85%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.04 +0.69
SD 1.34 0.87 1.72
CV 0.78 0.84 —
Max 6 3 +6
Min 0 0 -2

Games Played: 26

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

# Team Actual Sim vsSim
1 Odense 41 31.04 +9.96
2 Lyngby 38 30.98 +7.02
3 Frem 23 19.77 +3.23
4 Vejle BK 34 30.93 +3.07
5 Brondby 38 36.12 +1.88

Biggest Disappointments

# Team Actual Sim vsSim
1 Bronshoj 13 19.37 -6.37
2 B 1913 13 18.73 -5.73
3 Naestved 23 27.03 -4.03
4 Herfolge 16 19.08 -3.08
5 Aalborg 19 21.82 -2.82

Top Streaks

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

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Vejle BK 5 May 21 – Jul 30 1 in 102
2 Odense 5 May 28 – Aug 2 1 in 89
3 Herfolge 2 Jul 30 – Aug 2 1 in 58
4 Frem 3 Sep 17 – Oct 1 1 in 25
5 Aalborg 2 May 28 – Jun 4 1 in 14

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Herfolge 10 Aug 6 – Oct 7 1 in 495
2 Aalborg 5 Oct 1 – Oct 29 1 in 284
3 Bronshoj 7 Aug 6 – Sep 17 1 in 156
4 Brondby 2 Sep 3 – Sep 10 1 in 36
5 Naestved 4 Aug 2 – Aug 20 1 in 21

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Odense 20 Apr 16 – Oct 1 1 in 546
2 Vejle BK 10 Apr 16 – Jul 30 1 in 32
3 Frem 5 Jun 11 – Aug 13 1 in 12
4 Herfolge 5 Apr 30 – May 28 1 in 11
5 Lyngby 8 Sep 10 – Oct 29 1 in 10

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Ikast 14 Apr 16 – Aug 20 1 in 183
2 Naestved 9 Apr 9 – Jun 4 1 in 78
3 Aarhus GF 7 Apr 9 – May 21 1 in 47
4 B 1903 5 Apr 30 – May 28 1 in 29
5 Aalborg 7 Jun 11 – Aug 27 1 in 10

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
Odense9.87%17.02%17.52%16.38%12.92%10.52%6.99%4.22%2.40%1.32%0.53%0.19%0.09%0.03%
Brondby57.37%19.96%10.66%6.06%3.01%1.53%0.87%0.40%0.10%0.02%0.02%———
Lyngby9.43%17.12%16.89%15.20%13.83%10.71%7.53%4.57%2.64%1.14%0.61%0.21%0.08%0.04%
Vejle BK8.69%16.05%16.18%15.68%14.31%11.27%7.83%5.28%2.54%1.30%0.53%0.22%0.08%0.04%
Aarhus GF9.39%16.30%17.52%15.69%14.16%10.65%7.32%4.54%2.52%1.18%0.49%0.19%0.03%0.02%
B 19033.26%7.59%10.22%12.71%15.28%15.85%13.94%9.66%5.75%3.00%1.53%0.76%0.33%0.12%
Silkeborg0.89%2.46%4.14%6.89%10.14%13.25%16.32%16.33%12.21%7.48%4.69%2.88%1.67%0.65%
Frem0.01%0.05%0.16%0.43%0.80%1.54%2.92%6.00%9.92%13.23%16.40%16.60%16.30%15.64%
Naestved1.01%3.04%5.44%8.15%10.64%14.02%16.71%15.46%10.61%7.09%4.03%2.22%1.09%0.49%
Ikast0.08%0.29%0.67%1.30%2.17%4.33%7.84%11.44%16.65%16.51%13.73%11.23%8.58%5.18%
Aalborg—0.10%0.41%1.07%1.73%3.51%6.40%10.62%14.25%16.93%15.45%12.55%10.26%6.72%
Herfolge—0.01%0.07%0.19%0.29%0.93%1.74%3.87%6.72%10.45%13.89%17.91%20.60%23.33%
B 1913——0.04%0.12%0.29%0.93%1.65%3.27%6.15%9.32%13.91%17.23%20.94%26.15%
Bronshoj—0.01%0.08%0.13%0.43%0.96%1.94%4.34%7.54%11.03%14.19%17.81%19.95%21.59%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Points Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+12.64%
Slight Edge
41.76%29.12%29.12%
Elo Value
Home Edge: 44.14 Elo pts.
183 Elo
0.005 goals per Elo point
0500
Scoring Tilt
Expected
+0.29 goals
Neutral
-2+0.24+2

Title Race

How these are measured

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

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 4 * Open: 4 to 6 * Wide Open: 6 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd to 3rd * Middle of the Pack: 4th to 7th * Longshot: 8th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
2.7
Top-Heavy
124610
Champion Preseason Odds
10%
Odense, 2nd of 14
LongshotFavorite
Title Margin
Expected
0.12/gm
Photo Finish
00.120.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 3.12 * Some Luck: 3.12 to 4.68 * Lucky: 4.68 to 6.24 * Wild Swing: 6.24 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.52 * Close: 1.52 to 2.27 * Off: 2.27 to 3.03 * Way Off: 3.03 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 14 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 14 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 and up.
Unexpected Relegations
Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 1.09 * A Surprise: 1.09 to 1.74 * Several Surprises: 1.74 to 2.4 * Many Surprises: 2.4 and up.
Luck Spread
Expected
4.55 points
Some Luck
03.9010
Average Finish Error
Expected
1.43
Pinpoint
01.894
Biggest Overachiever
Expected 96.43%
99.70%
Odense
50100
Biggest Underachiever
Expected 3.57%
6.11%
Bronshoj
050
Season Outliers
Expected
2 of 14
Minimal Outliers
01.47
Unexpected Relegations
Expected
1 of 2
As Expected
01.12

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.20
Top-Heavy
00.120.180.260.5
Noll-Scully
Coin-flip
1.85
Strong Separation
01.003
Interquartile Edge
80%
Wide Edge
50%60%70%80%100%
Best vs. Worst
Baseline 95%
91%
Strong Edge
50%100%
Close Games
Expected
61%
Very Frequent
0%60%100%
Blowouts
Expected
16%
Frequent
0%16%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.59
Predictable
00.612
Matchup Imbalance
0.42
Lopsided
00.10.180.280.5
Strangeness
Expected
1.37
Wilder Than Modeled
01.002
Repeatability
0.67
Strong Carryover
00.30.60.851
Upset Rate
Expected
18%
Chalky
0%20%50%
Clear Favorite Upset Rate
Expected
16%
As Expected
0%17%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
0.75
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.06
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.073
Well Within Noise
00.1250.3

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Same level Direct relegation
Brondby 100% —
Aarhus GF 99.95% 0.05%
Lyngby 99.88% 0.12%
Odense 99.88% 0.12%
Vejle BK 99.88% 0.12%
B 1903 99.55% 0.45%
Naestved 98.42% 1.58%
Silkeborg 97.68% 2.32%
Ikast 86.24% 13.76%
Aalborg 83.02% 16.98%
Frem 68.06% 31.94%
Bronshoj 58.46% 41.54%
Herfolge 56.07% 43.93%
B 1913 52.91% 47.09%

Overall Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
1989-04-02 Aarhus GF L 0-2 1500 1606 29.13% 30.70% 40.17% -22.6 0
1989-04-02 @ B 1913 W 2-0 1606 1500 40.17% 30.70% 29.13% +22.6 2
1989-04-02 Aalborg W 2-0 1699 1487 63.01% 28.05% 8.93% +8.6 2
1989-04-02 @ Brondby L 0-2 1487 1699 8.93% 28.05% 63.01% -8.6 0
1989-04-02 Ikast D 2-2 1517 1563 37.34% 30.88% 31.78% -0.3 1
1989-04-02 @ Herfolge D 2-2 1563 1517 31.78% 30.88% 37.34% +0.3 1
1989-04-02 Frem W 1-0 1593 1447 58.31% 29.27% 12.43% +6.2 2
1989-04-02 @ Lyngby L 0-1 1447 1593 12.43% 29.27% 58.31% -6.2 0
1989-04-02 Bronshoj W 1-0 1618 1547 51.44% 30.29% 18.28% +8.5 2
1989-04-02 @ Naestved L 0-1 1547 1618 18.28% 30.29% 51.44% -8.5 0
1989-04-02 Odense D 1-1 1568 1568 43.43% 30.79% 25.78% -1.3 1
1989-04-02 @ Silkeborg D 1-1 1568 1568 25.78% 30.79% 43.43% +1.3 1
1989-04-02 B 1903 W 1-0 1596 1620 40.35% 30.86% 28.79% +11.9 2
1989-04-02 @ Vejle BK L 0-1 1620 1596 28.79% 30.86% 40.35% -11.9 0
1989-04-09 Herfolge W 1-0 1479 1516 38.54% 30.88% 30.59% +12.5 2
1989-04-09 @ Aalborg L 0-1 1516 1479 30.59% 30.88% 38.54% -12.5 1
1989-04-09 Lyngby D 1-1 1629 1599 47.01% 30.63% 22.36% -1.9 3
1989-04-09 @ Aarhus GF D 1-1 1599 1629 22.36% 30.63% 47.01% +1.9 3
1989-04-09 B 1913 W 3-2 1539 1477 50.53% 30.37% 19.10% +7.9 2
1989-04-09 @ Bronshoj L 2-3 1477 1539 19.10% 30.37% 50.53% -7.9 0
1989-04-09 Silkeborg W 3-2 1608 1566 48.41% 30.54% 21.05% +8.5 2
1989-04-09 @ B 1903 L 2-3 1566 1608 21.05% 30.54% 48.41% -8.5 1
1989-04-09 Vejle BK W 1-0 1440 1608 21.97% 30.19% 47.83% +17.4 2
1989-04-09 @ Frem L 0-1 1608 1440 47.83% 30.19% 21.97% -17.4 2
1989-04-09 Naestved W 3-1 1564 1626 35.08% 30.86% 34.06% +21.9 3
1989-04-09 @ Ikast L 1-3 1626 1564 34.06% 30.86% 35.08% -21.9 2
1989-04-09 Brondby L 0-4 1569 1708 25.11% 30.47% 44.42% -38.5 1
1989-04-09 @ Odense W 4-0 1708 1569 44.42% 30.47% 25.11% +38.5 4
1989-04-16 Ikast D 1-1 1491 1586 30.67% 30.76% 38.57% +0.6 3
1989-04-16 @ Aalborg D 1-1 1586 1491 38.57% 30.76% 30.67% -0.6 4
1989-04-16 Naestved D 1-1 1470 1604 25.58% 30.50% 43.91% +1.4 1
1989-04-16 @ B 1913 D 1-1 1604 1470 43.91% 30.50% 25.58% -1.4 3
1989-04-16 B 1903 D 1-1 1747 1617 56.95% 29.53% 13.52% -3.6 5
1989-04-16 @ Brondby D 1-1 1617 1747 13.52% 29.53% 56.95% +3.6 3
1989-04-16 Odense L 0-1 1504 1531 40.04% 30.86% 29.09% -15.1 1
1989-04-16 @ Herfolge W 1-0 1531 1504 29.09% 30.86% 40.04% +15.1 3
1989-04-16 Bronshoj W 2-0 1601 1547 49.78% 30.44% 19.78% +17.0 5
1989-04-16 @ Lyngby L 0-2 1547 1601 19.78% 30.44% 49.78% -17.0 2
1989-04-16 Frem W 1-0 1558 1458 54.30% 29.95% 15.75% +7.5 3
1989-04-16 @ Silkeborg L 0-1 1458 1558 15.75% 29.95% 54.30% -7.5 2
1989-04-16 Aarhus GF D 1-1 1590 1627 38.68% 30.88% 30.45% -0.6 3
1989-04-16 @ Vejle BK D 1-1 1627 1590 30.45% 30.88% 38.68% +0.6 4
1989-04-23 Silkeborg D 0-0 1628 1565 50.61% 30.36% 19.02% -2.8 5
1989-04-23 @ Aarhus GF D 0-0 1565 1628 19.02% 30.36% 50.61% +2.8 4
1989-04-23 Vejle BK L 0-1 1530 1590 35.48% 30.87% 33.65% -13.8 2
1989-04-23 @ Bronshoj W 1-0 1590 1530 33.65% 30.87% 35.48% +13.8 5
1989-04-23 Herfolge W 2-0 1620 1489 57.05% 29.51% 13.44% +12.4 5
1989-04-23 @ B 1903 L 0-2 1489 1620 13.44% 29.51% 57.05% -12.4 1
1989-04-23 Brondby L 1-2 1450 1743 11.88% 28.21% 59.91% -5.5 2
1989-04-23 @ Frem W 2-1 1743 1450 59.91% 28.21% 11.88% +5.5 7
1989-04-23 B 1913 D 1-1 1585 1471 55.58% 29.76% 14.66% -3.3 5
1989-04-23 @ Ikast D 1-1 1471 1585 14.66% 29.76% 55.58% +3.3 2
1989-04-23 Lyngby D 1-1 1603 1618 41.52% 30.84% 27.64% -1.0 4
1989-04-23 @ Naestved D 1-1 1618 1603 27.64% 30.84% 41.52% +1.0 6
1989-04-23 Aalborg W 2-0 1546 1492 49.74% 30.44% 19.82% +17.1 5
1989-04-23 @ Odense L 0-2 1492 1546 19.82% 30.44% 49.74% -17.1 3
1989-04-30 B 1903 D 1-1 1475 1633 22.97% 30.29% 46.74% +1.8 4
1989-04-30 @ Aalborg D 1-1 1633 1475 46.74% 30.29% 22.97% -1.8 6
1989-04-30 Aarhus GF W 3-1 1748 1625 56.41% 29.62% 13.97% +11.1 9
1989-04-30 @ Brondby L 1-3 1625 1748 13.97% 29.62% 56.41% -11.1 5
1989-04-30 Frem W 1-0 1476 1445 47.26% 30.62% 22.12% +9.8 3
1989-04-30 @ Herfolge L 0-1 1445 1476 22.12% 30.62% 47.26% -9.8 2
1989-04-30 B 1913 W 2-0 1619 1474 58.18% 29.29% 12.53% +11.7 8
1989-04-30 @ Lyngby L 0-2 1474 1619 12.53% 29.29% 58.18% -11.7 2
1989-04-30 Ikast W 3-0 1563 1582 41.07% 30.85% 28.08% +32.1 7
1989-04-30 @ Odense L 0-3 1582 1563 28.08% 30.85% 41.07% -32.1 5
1989-04-30 Bronshoj W 5-1 1568 1516 49.53% 30.46% 20.02% +27.2 6
1989-04-30 @ Silkeborg L 1-5 1516 1568 20.02% 30.46% 49.53% -27.2 2
1989-04-30 Naestved D 1-1 1603 1602 43.66% 30.78% 25.56% -1.4 6
1989-04-30 @ Vejle BK D 1-1 1602 1603 25.56% 30.78% 43.66% +1.3 5
1989-05-07 Herfolge D 0-0 1614 1486 56.72% 29.57% 13.71% -4.0 6
1989-05-07 @ Aarhus GF D 0-0 1486 1614 13.71% 29.57% 56.72% +4.0 4
1989-05-07 Vejle BK L 1-2 1463 1602 25.03% 30.46% 44.50% -10.1 2
1989-05-07 @ B 1913 W 2-1 1602 1463 44.50% 30.46% 25.03% +10.1 8
1989-05-07 Brondby L 0-3 1489 1760 13.24% 28.64% 58.12% -17.5 2
1989-05-07 @ Bronshoj W 3-0 1760 1489 58.12% 28.64% 13.24% +17.5 11
1989-05-07 Odense D 0-0 1631 1595 47.73% 30.59% 21.68% -2.2 7
1989-05-07 @ B 1903 D 0-0 1595 1631 21.68% 30.59% 47.73% +2.2 8
1989-05-07 Aalborg D 2-2 1435 1476 38.04% 30.88% 31.08% -0.4 3
1989-05-07 @ Frem D 2-2 1476 1435 31.08% 30.88% 38.04% +0.4 5
1989-05-07 Lyngby L 0-1 1550 1631 32.42% 30.81% 36.76% -13.0 5
1989-05-07 @ Ikast W 1-0 1631 1550 36.76% 30.81% 32.42% +13.0 10
1989-05-07 Silkeborg D 1-1 1603 1595 44.48% 30.75% 24.77% -1.5 6
1989-05-07 @ Naestved D 1-1 1595 1603 24.77% 30.75% 44.48% +1.5 7
1989-05-13 Lyngby D 2-2 1612 1644 39.35% 30.87% 29.78% -0.5 9
1989-05-13 @ Vejle BK D 2-2 1644 1612 29.78% 30.87% 39.35% +0.5 11
1989-05-14 Aarhus GF D 1-1 1477 1610 25.81% 30.52% 43.67% +1.3 6
1989-05-14 @ Aalborg D 1-1 1610 1477 43.67% 30.52% 25.81% -1.3 7
1989-05-14 Naestved W 2-1 1777 1602 60.47% 28.77% 10.76% +5.1 13
1989-05-14 @ Brondby L 1-2 1602 1777 10.76% 28.77% 60.47% -5.1 6
1989-05-14 Ikast D 1-1 1628 1537 53.56% 30.04% 16.40% -3.0 8
1989-05-14 @ B 1903 D 1-1 1537 1628 16.40% 30.04% 53.56% +3.0 6
1989-05-14 Bronshoj D 1-1 1490 1471 45.79% 30.70% 23.52% -1.7 5
1989-05-14 @ Herfolge D 1-1 1471 1490 23.52% 30.70% 45.79% +1.7 3
1989-05-14 Frem W 2-1 1597 1435 59.53% 29.00% 11.47% +5.4 10
1989-05-14 @ Odense L 1-2 1435 1597 11.47% 29.00% 59.53% -5.4 3
1989-05-14 B 1913 L 1-3 1597 1452 58.11% 29.31% 12.58% -34.1 7
1989-05-14 @ Silkeborg W 3-1 1452 1597 12.58% 29.31% 58.11% +34.1 4
1989-05-21 Odense D 0-0 1608 1603 44.20% 30.76% 25.04% -1.6 8
1989-05-21 @ Aarhus GF D 0-0 1603 1608 25.04% 30.76% 44.20% +1.6 11
1989-05-21 Brondby L 1-3 1487 1782 11.71% 28.15% 60.14% -9.3 4
1989-05-21 @ B 1913 W 3-1 1782 1487 60.14% 28.15% 11.71% +9.3 15
1989-05-21 Aalborg W 3-1 1473 1478 42.83% 30.81% 26.37% +18.3 5
1989-05-21 @ Bronshoj L 1-3 1478 1473 26.37% 30.81% 42.83% -18.3 6
1989-05-21 B 1903 D 1-1 1429 1626 19.10% 29.84% 51.06% +2.5 4
1989-05-21 @ Frem D 1-1 1626 1429 51.06% 29.84% 19.10% -2.5 9
1989-05-21 Vejle BK L 0-2 1540 1612 33.73% 30.84% 35.43% -25.1 6
1989-05-21 @ Ikast W 2-0 1612 1540 35.43% 30.84% 33.73% +25.1 11
1989-05-21 Silkeborg L 2-3 1645 1563 52.60% 30.16% 17.24% -17.0 11
1989-05-21 @ Lyngby W 3-2 1563 1645 17.24% 30.16% 52.60% +17.0 9
1989-05-21 Herfolge D 2-2 1597 1489 55.05% 29.84% 15.11% -2.4 7
1989-05-21 @ Naestved D 2-2 1489 1597 15.11% 29.84% 55.05% +2.4 6
1989-05-28 Naestved W 2-0 1460 1594 25.62% 30.51% 43.87% +30.5 8
1989-05-28 @ Aalborg L 0-2 1594 1460 43.87% 30.51% 25.62% -30.5 7
1989-05-28 Lyngby D 2-2 1791 1628 59.64% 28.98% 11.38% -3.0 16
1989-05-28 @ Brondby D 2-2 1628 1791 11.38% 28.98% 59.64% +3.0 12
1989-05-28 Aarhus GF L 0-2 1623 1607 45.45% 30.71% 23.83% -31.5 9
1989-05-28 @ B 1903 W 2-0 1607 1623 23.83% 30.71% 45.45% +31.5 10
1989-05-28 Ikast W 3-2 1432 1514 32.26% 30.81% 36.93% +12.7 6
1989-05-28 @ Frem L 2-3 1514 1432 36.93% 30.81% 32.26% -12.7 6
1989-05-28 B 1913 D 1-1 1491 1477 45.16% 30.72% 24.11% -1.6 7
1989-05-28 @ Herfolge D 1-1 1477 1491 24.11% 30.72% 45.16% +1.6 5
1989-05-28 Bronshoj W 3-1 1604 1491 55.47% 29.78% 14.75% +11.6 13
1989-05-28 @ Odense L 1-3 1491 1604 14.75% 29.78% 55.47% -11.7 5
1989-05-28 Vejle BK L 0-1 1580 1637 35.84% 30.87% 33.29% -13.9 9
1989-05-28 @ Silkeborg W 1-0 1637 1580 33.29% 30.87% 35.84% +13.9 13
1989-06-04 Frem W 2-0 1638 1444 61.79% 28.42% 9.79% +9.4 12
1989-06-04 @ Aarhus GF L 0-2 1444 1638 9.79% 28.42% 61.79% -9.4 6
1989-06-04 Aalborg L 1-2 1479 1490 42.01% 30.83% 27.16% -14.8 5
1989-06-04 @ B 1913 W 2-1 1490 1479 27.16% 30.83% 42.01% +14.8 10
1989-06-04 B 1903 L 0-4 1480 1591 28.40% 30.67% 40.93% -42.2 5
1989-06-04 @ Bronshoj W 4-0 1591 1480 40.93% 30.67% 28.40% +42.2 11
1989-06-04 Silkeborg D 1-1 1502 1566 34.89% 30.86% 34.25% -0.0 7
1989-06-04 @ Ikast D 1-1 1566 1502 34.25% 30.86% 34.89% +0.0 10
1989-06-04 Herfolge W 4-0 1631 1489 57.86% 29.36% 12.78% +22.6 14
1989-06-04 @ Lyngby L 0-4 1489 1631 12.78% 29.36% 57.86% -22.6 7
1989-06-04 Odense L 1-3 1564 1616 36.58% 30.88% 32.55% -23.1 7
1989-06-04 @ Naestved W 3-1 1616 1564 32.55% 30.88% 36.58% +23.0 15
1989-06-04 Brondby W 2-0 1651 1788 25.24% 30.48% 44.28% +30.8 15
1989-06-04 @ Vejle BK L 0-2 1788 1651 44.28% 30.48% 25.24% -30.8 16
1989-06-11 Lyngby D 0-0 1505 1653 24.07% 30.39% 45.54% +1.8 11
1989-06-11 @ Aalborg D 0-0 1653 1505 45.54% 30.39% 24.07% -1.8 15
1989-06-11 Ikast D 1-1 1648 1502 58.25% 29.28% 12.47% -3.8 13
1989-06-11 @ Aarhus GF D 1-1 1502 1648 12.47% 29.28% 58.25% +3.8 8
1989-06-11 Silkeborg W 3-2 1758 1566 61.66% 28.46% 9.88% +4.5 18
1989-06-11 @ Brondby L 2-3 1566 1758 9.88% 28.46% 61.66% -4.5 10
1989-06-11 Naestved L 0-3 1634 1541 53.65% 30.03% 16.32% -53.1 11
1989-06-11 @ B 1903 W 3-0 1541 1634 16.32% 30.03% 53.65% +53.1 9
1989-06-11 Bronshoj D 2-2 1435 1437 43.18% 30.80% 26.02% -1.0 7
1989-06-11 @ Frem D 2-2 1437 1435 26.02% 30.80% 43.18% +1.0 6
1989-06-11 Vejle BK L 0-3 1467 1682 17.46% 29.58% 52.96% -22.2 7
1989-06-11 @ Herfolge W 3-0 1682 1467 52.96% 29.58% 17.46% +22.2 17
1989-06-11 B 1913 W 4-1 1639 1464 60.44% 28.78% 10.78% +12.5 17
1989-06-11 @ Odense L 1-4 1464 1639 10.78% 28.78% 60.44% -12.5 5
1989-07-30 B 1903 D 0-0 1452 1581 26.27% 30.55% 43.19% +1.4 6
1989-07-30 @ B 1913 D 0-0 1581 1452 43.19% 30.55% 26.27% -1.4 12
1989-07-30 Aarhus GF D 1-1 1438 1644 18.26% 29.72% 52.02% +2.7 7
1989-07-30 @ Bronshoj D 1-1 1644 1438 52.02% 29.72% 18.26% -2.7 14
1989-07-30 Brondby D 0-0 1505 1762 14.19% 28.90% 56.91% +3.9 9
1989-07-30 @ Ikast D 0-0 1762 1505 56.91% 28.90% 14.19% -3.9 19
1989-07-30 Odense L 0-2 1651 1651 43.47% 30.79% 25.75% -30.4 15
1989-07-30 @ Lyngby W 2-0 1651 1651 25.75% 30.79% 43.47% +30.4 19
1989-07-30 Frem D 0-0 1594 1434 59.31% 29.05% 11.64% -4.5 10
1989-07-30 @ Naestved D 0-0 1434 1594 11.64% 29.05% 59.31% +4.5 8
1989-07-30 Herfolge L 0-1 1561 1445 55.80% 29.72% 14.48% -20.1 10
1989-07-30 @ Silkeborg W 1-0 1445 1561 14.48% 29.72% 55.80% +20.1 9
1989-07-30 Aalborg W 2-1 1704 1507 61.98% 28.37% 9.65% +4.6 19
1989-07-30 @ Vejle BK L 1-2 1507 1704 9.65% 28.37% 61.98% -4.6 11
1989-08-02 Silkeborg D 1-1 1502 1541 38.41% 30.88% 30.71% -0.6 12
1989-08-02 @ Aalborg D 1-1 1541 1502 30.71% 30.88% 38.41% +0.6 11
1989-08-02 Naestved W 1-0 1641 1589 49.51% 30.46% 20.03% +9.1 16
1989-08-02 @ Aarhus GF L 0-1 1589 1641 20.03% 30.46% 49.51% -9.1 10
1989-08-02 Lyngby D 0-0 1579 1621 38.00% 30.88% 31.12% -0.6 13
1989-08-02 @ B 1903 D 0-0 1621 1579 31.12% 30.88% 38.00% +0.5 16
1989-08-02 B 1913 W 2-1 1439 1453 41.65% 30.84% 27.51% +10.9 10
1989-08-02 @ Frem L 1-2 1453 1439 27.51% 30.84% 41.65% -10.9 6
1989-08-02 Brondby W 1-0 1465 1758 11.83% 28.20% 59.97% +21.4 11
1989-08-02 @ Herfolge L 0-1 1758 1465 59.97% 28.20% 11.83% -21.4 19
1989-08-02 Bronshoj L 1-3 1509 1441 51.23% 30.31% 18.46% -30.3 9
1989-08-02 @ Ikast W 3-1 1441 1509 18.46% 30.31% 51.23% +30.3 9
1989-08-02 Vejle BK W 1-0 1682 1708 40.05% 30.86% 29.08% +12.0 21
1989-08-02 @ Odense L 0-1 1708 1682 29.08% 30.86% 40.05% -12.0 19
1989-08-06 Frem D 1-1 1502 1449 49.55% 30.46% 19.99% -2.3 13
1989-08-06 @ Aalborg D 1-1 1449 1502 19.99% 30.46% 49.55% +2.3 11
1989-08-06 Bronshoj W 4-1 1737 1471 66.27% 26.87% 6.86% +8.1 21
1989-08-06 @ Brondby L 1-4 1471 1737 6.86% 26.87% 66.27% -8.1 9
1989-08-06 Aarhus GF L 1-4 1486 1650 22.29% 30.23% 47.48% -22.7 11
1989-08-06 @ Herfolge W 4-1 1650 1486 47.48% 30.23% 22.29% +22.7 18
1989-08-06 Ikast W 3-1 1621 1479 57.97% 29.34% 12.70% +10.2 18
1989-08-06 @ Lyngby L 1-3 1479 1621 12.70% 29.34% 57.97% -10.2 9
1989-08-06 B 1903 D 1-1 1694 1579 55.67% 29.74% 14.58% -3.4 22
1989-08-06 @ Odense D 1-1 1579 1694 14.58% 29.74% 55.67% +3.4 14
1989-08-06 Naestved W 3-0 1542 1580 38.44% 30.88% 30.68% +34.2 13
1989-08-06 @ Silkeborg L 0-3 1580 1542 30.68% 30.88% 38.44% -34.2 10
1989-08-06 B 1913 W 3-2 1696 1442 65.61% 27.13% 7.25% +3.3 21
1989-08-06 @ Vejle BK L 2-3 1442 1696 7.25% 27.13% 65.61% -3.3 6
1989-08-13 Brondby L 1-2 1673 1745 33.76% 30.84% 35.40% -12.6 18
1989-08-13 @ Aarhus GF W 2-1 1745 1673 35.40% 30.84% 33.76% +12.6 23
1989-08-13 Lyngby L 1-3 1439 1632 19.41% 29.88% 50.71% -14.4 6
1989-08-13 @ B 1913 W 3-1 1632 1439 50.71% 29.88% 19.41% +14.4 20
1989-08-13 Silkeborg L 1-2 1463 1576 28.31% 30.66% 41.03% -11.1 9
1989-08-13 @ Bronshoj W 2-1 1576 1463 41.03% 30.66% 28.31% +11.1 15
1989-08-13 Aalborg W 2-1 1582 1500 52.65% 30.15% 17.20% +7.6 16
1989-08-13 @ B 1903 L 1-2 1500 1582 17.20% 30.15% 52.65% -7.6 13
1989-08-13 Herfolge W 3-0 1452 1463 42.00% 30.83% 27.17% +31.4 13
1989-08-13 @ Frem L 0-3 1463 1452 27.17% 30.83% 42.00% -31.4 11
1989-08-13 Odense D 0-0 1469 1690 16.87% 29.48% 53.65% +3.3 10
1989-08-13 @ Ikast D 0-0 1690 1469 53.65% 29.48% 16.87% -3.3 23
1989-08-13 Vejle BK L 1-2 1546 1700 23.44% 30.34% 46.23% -9.6 10
1989-08-13 @ Naestved W 2-1 1700 1546 46.23% 30.34% 23.44% +9.6 23
1989-08-20 Odense D 3-3 1492 1687 19.19% 29.85% 50.95% +1.5 14
1989-08-20 @ Aalborg D 3-3 1687 1492 50.95% 29.85% 19.19% -1.5 24
1989-08-20 Ikast W 4-2 1424 1472 37.17% 30.88% 31.95% +18.8 8
1989-08-20 @ B 1913 L 2-4 1472 1424 31.95% 30.88% 37.17% -18.8 10
1989-08-20 Frem W 4-1 1758 1483 66.77% 26.66% 6.57% +7.7 25
1989-08-20 @ Brondby L 1-4 1483 1758 6.57% 26.66% 66.77% -7.7 13
1989-08-20 B 1903 L 0-3 1432 1590 23.00% 30.30% 46.70% -27.6 11
1989-08-20 @ Herfolge W 3-0 1590 1432 46.70% 30.30% 23.00% +27.6 18
1989-08-20 Naestved W 3-1 1646 1536 55.20% 29.82% 14.99% +11.8 22
1989-08-20 @ Lyngby L 1-3 1536 1646 14.99% 29.82% 55.20% -11.8 10
1989-08-20 Aarhus GF D 0-0 1587 1660 33.54% 30.84% 35.62% +0.2 16
1989-08-20 @ Silkeborg D 0-0 1660 1587 35.62% 30.84% 33.54% -0.2 19
1989-08-20 Bronshoj W 6-0 1709 1452 65.78% 27.07% 7.16% +19.1 25
1989-08-20 @ Vejle BK L 0-6 1452 1709 7.16% 27.07% 65.78% -19.1 9
1989-08-27 Vejle BK D 2-2 1660 1728 34.31% 30.85% 34.84% +0.0 20
1989-08-27 @ Aarhus GF D 2-2 1728 1660 34.84% 30.85% 34.31% -0.0 26
1989-08-27 Lyngby L 0-1 1433 1658 16.61% 29.43% 53.96% -7.8 9
1989-08-27 @ Bronshoj W 1-0 1658 1433 53.96% 29.43% 16.61% +7.8 24
1989-08-27 Brondby L 0-1 1617 1765 24.05% 30.39% 45.56% -10.4 18
1989-08-27 @ B 1903 W 1-0 1765 1617 45.56% 30.39% 24.05% +10.4 27
1989-08-27 Silkeborg W 2-1 1475 1587 28.42% 30.67% 40.91% +14.4 15
1989-08-27 @ Frem L 1-2 1587 1475 40.91% 30.67% 28.42% -14.5 16
1989-08-27 Aalborg W 2-1 1453 1493 38.22% 30.88% 30.90% +11.8 12
1989-08-27 @ Ikast L 1-2 1493 1453 30.90% 30.88% 38.22% -11.8 14
1989-08-27 B 1913 W 4-0 1525 1443 52.55% 30.17% 17.28% +29.1 12
1989-08-27 @ Naestved L 0-4 1443 1525 17.28% 30.17% 52.55% -29.0 8
1989-08-27 Herfolge W 3-0 1686 1404 67.14% 26.50% 6.36% +8.9 26
1989-08-27 @ Odense L 0-3 1404 1686 6.36% 26.50% 67.14% -8.9 11
1989-09-03 Bronshoj W 3-1 1414 1425 42.05% 30.83% 27.13% +18.7 10
1989-09-03 @ B 1913 L 1-3 1425 1414 27.13% 30.83% 42.05% -18.7 9
1989-09-03 Odense L 0-2 1776 1694 52.53% 30.17% 17.30% -35.8 27
1989-09-03 @ Brondby W 2-0 1694 1776 17.30% 30.17% 52.53% +35.8 28
1989-09-03 Aalborg L 0-2 1396 1482 31.81% 30.80% 37.39% -24.1 11
1989-09-03 @ Herfolge W 2-0 1482 1396 37.39% 30.80% 31.81% +24.1 16
1989-09-03 Aarhus GF L 3-5 1666 1660 44.14% 30.77% 25.09% -22.5 24
1989-09-03 @ Lyngby W 5-3 1660 1666 25.09% 30.77% 44.14% +22.5 22
1989-09-03 Ikast W 3-0 1554 1465 53.23% 30.09% 16.69% +21.6 14
1989-09-03 @ Naestved L 0-3 1465 1554 16.69% 30.09% 53.23% -21.6 12
1989-09-03 B 1903 D 1-1 1573 1607 39.04% 30.87% 30.09% -0.6 17
1989-09-03 @ Silkeborg D 1-1 1607 1573 30.09% 30.87% 39.04% +0.6 19
1989-09-03 Frem W 2-1 1728 1490 64.67% 27.49% 7.84% +3.8 28
1989-09-03 @ Vejle BK L 1-2 1490 1728 7.84% 27.49% 64.67% -3.8 15
1989-09-09 Naestved L 0-1 1407 1575 21.82% 30.18% 48.00% -9.7 9
1989-09-09 @ Bronshoj W 1-0 1575 1407 48.00% 30.18% 21.82% +9.7 16
1989-09-10 Brondby W 2-0 1506 1740 15.86% 29.28% 54.86% +37.1 18
1989-09-10 @ Aalborg L 0-2 1740 1506 54.86% 29.28% 15.86% -37.1 27
1989-09-10 B 1913 W 4-0 1683 1433 65.37% 27.23% 7.40% +13.5 24
1989-09-10 @ Aarhus GF L 0-4 1433 1683 7.40% 27.23% 65.37% -13.5 10
1989-09-10 Vejle BK W 3-1 1607 1732 26.80% 30.58% 42.62% +25.8 21
1989-09-10 @ B 1903 L 1-3 1732 1607 42.62% 30.58% 26.80% -25.8 28
1989-09-10 Lyngby L 1-4 1486 1643 23.05% 30.30% 46.64% -23.3 15
1989-09-10 @ Frem W 4-1 1643 1486 46.64% 30.30% 23.05% +23.3 26
1989-09-10 Herfolge W 2-1 1444 1371 51.61% 30.27% 18.12% +8.0 14
1989-09-10 @ Ikast L 1-2 1371 1444 18.12% 30.27% 51.61% -8.0 11
1989-09-10 Silkeborg W 3-0 1730 1572 59.21% 29.07% 11.72% +16.0 30
1989-09-10 @ Odense L 0-3 1572 1730 11.72% 29.07% 59.21% -16.0 17
1989-09-17 Frem L 0-2 1419 1463 37.74% 30.88% 31.38% -27.2 10
1989-09-17 @ B 1913 W 2-0 1463 1419 31.38% 30.88% 37.74% +27.2 17
1989-09-17 Herfolge W 3-0 1703 1364 70.18% 25.01% 4.80% +6.6 29
1989-09-17 @ Brondby L 0-3 1364 1703 4.80% 25.01% 70.18% -6.6 11
1989-09-17 Ikast L 0-1 1397 1451 36.23% 30.87% 32.90% -14.0 9
1989-09-17 @ Bronshoj W 1-0 1451 1397 32.90% 30.87% 36.23% +14.0 16
1989-09-17 B 1903 W 1-0 1666 1633 47.44% 30.61% 21.96% +9.8 28
1989-09-17 @ Lyngby L 0-1 1633 1666 21.96% 30.61% 47.44% -9.8 21
1989-09-17 Aarhus GF D 1-1 1585 1696 28.45% 30.67% 40.88% +0.9 17
1989-09-17 @ Naestved D 1-1 1696 1585 40.88% 30.67% 28.45% -0.9 25
1989-09-17 Aalborg W 1-0 1556 1543 45.10% 30.73% 24.18% +10.5 19
1989-09-17 @ Silkeborg L 0-1 1543 1556 24.18% 30.73% 45.10% -10.5 18
1989-09-17 Odense L 1-2 1706 1746 38.23% 30.88% 30.89% -13.8 28
1989-09-17 @ Vejle BK W 2-1 1746 1706 30.89% 30.88% 38.23% +13.8 32
1989-09-23 Ikast W 2-1 1709 1466 65.00% 27.37% 7.63% +3.7 31
1989-09-23 @ Brondby L 1-2 1466 1709 7.63% 27.37% 65.00% -3.7 16
1989-09-23 Naestved W 2-1 1490 1586 30.48% 30.76% 38.76% +13.9 19
1989-09-23 @ Frem L 1-2 1586 1490 38.76% 30.76% 30.48% -13.9 17
1989-09-24 Vejle BK D 2-2 1532 1692 22.71% 30.27% 47.02% +1.4 19
1989-09-24 @ Aalborg D 2-2 1692 1532 47.02% 30.27% 22.71% -1.4 29
1989-09-24 Bronshoj D 1-1 1695 1383 68.83% 25.71% 5.46% -5.6 26
1989-09-24 @ Aarhus GF D 1-1 1383 1695 5.46% 25.71% 68.83% +5.6 10
1989-09-24 B 1913 W 3-1 1623 1392 64.25% 27.64% 8.11% +6.8 23
1989-09-24 @ B 1903 L 1-3 1392 1623 8.11% 27.64% 64.25% -6.8 10
1989-09-24 Silkeborg L 0-2 1357 1567 17.90% 29.66% 52.44% -15.6 11
1989-09-24 @ Herfolge W 2-0 1567 1357 52.44% 29.66% 17.90% +15.6 21
1989-09-24 Lyngby D 1-1 1760 1676 52.77% 30.14% 17.09% -2.8 33
1989-09-24 @ Odense D 1-1 1676 1760 17.09% 30.14% 52.77% +2.8 29
1989-10-01 Odense L 0-1 1385 1757 8.06% 26.43% 65.51% -4.0 10
1989-10-01 @ B 1913 W 1-0 1757 1385 65.51% 26.43% 8.06% +4.0 35
1989-10-01 Frem L 2-4 1388 1504 27.95% 30.65% 41.40% -17.0 10
1989-10-01 @ Bronshoj W 4-2 1504 1388 41.40% 30.65% 27.95% +17.0 21
1989-10-01 Aarhus GF L 0-2 1462 1690 16.35% 29.38% 54.27% -14.5 16
1989-10-01 @ Ikast W 2-0 1690 1462 54.27% 29.38% 16.35% +14.5 28
1989-10-01 Aalborg W 2-0 1679 1534 58.21% 29.29% 12.50% +11.7 31
1989-10-01 @ Lyngby L 0-2 1534 1679 12.50% 29.29% 58.21% -11.7 19
1989-10-01 B 1903 W 2-1 1572 1630 35.69% 30.87% 33.44% +12.5 19
1989-10-01 @ Naestved L 1-2 1630 1572 33.44% 30.87% 35.69% -12.5 23
1989-10-01 Brondby D 1-1 1582 1713 26.04% 30.54% 43.43% +1.3 22
1989-10-01 @ Silkeborg D 1-1 1713 1582 43.43% 30.54% 26.04% -1.3 32
1989-10-01 Herfolge W 3-1 1691 1341 70.70% 24.73% 4.57% +3.7 31
1989-10-01 @ Vejle BK L 1-3 1341 1691 4.57% 24.73% 70.70% -3.7 11
1989-10-07 B 1913 L 0-1 1522 1381 57.83% 29.36% 12.80% -20.8 19
1989-10-07 @ Aalborg W 1-0 1381 1522 12.80% 29.36% 57.83% +20.8 12
1989-10-07 Vejle BK W 2-0 1712 1695 45.54% 30.71% 23.75% +19.6 34
1989-10-07 @ Brondby L 0-2 1695 1712 23.75% 30.71% 45.54% -19.6 31
1989-10-07 Bronshoj W 2-0 1618 1371 65.14% 27.31% 7.54% +7.3 25
1989-10-07 @ B 1903 L 0-2 1371 1618 7.54% 27.31% 65.14% -7.3 10
1989-10-07 Aarhus GF L 0-3 1521 1704 20.33% 30.01% 49.67% -25.1 21
1989-10-07 @ Frem W 3-0 1704 1521 49.67% 30.01% 20.33% +25.1 30
1989-10-07 Lyngby L 1-2 1338 1691 8.83% 26.89% 64.28% -4.1 11
1989-10-07 @ Herfolge W 2-1 1691 1338 64.28% 26.89% 8.83% +4.1 33
1989-10-07 Naestved L 1-2 1761 1584 60.58% 28.75% 10.67% -20.5 35
1989-10-07 @ Odense W 2-1 1584 1761 10.67% 28.75% 60.58% +20.5 21
1989-10-07 Ikast L 1-2 1583 1447 57.45% 29.44% 13.12% -19.5 22
1989-10-07 @ Silkeborg W 2-1 1447 1583 13.12% 29.44% 57.45% +19.5 18
1989-10-15 B 1903 D 2-2 1729 1625 54.71% 29.89% 15.40% -2.4 31
1989-10-15 @ Aarhus GF D 2-2 1625 1729 15.40% 29.89% 54.71% +2.4 26
1989-10-15 Herfolge L 0-1 1402 1334 51.24% 30.30% 18.45% -18.6 12
1989-10-15 @ B 1913 W 1-0 1334 1402 18.45% 30.30% 51.24% +18.6 13
1989-10-15 Odense L 1-2 1364 1741 7.88% 26.32% 65.79% -3.7 10
1989-10-15 @ Bronshoj W 2-1 1741 1364 65.79% 26.32% 7.88% +3.7 37
1989-10-15 Frem W 1-0 1467 1496 39.73% 30.87% 29.41% +12.1 20
1989-10-15 @ Ikast L 0-1 1496 1467 29.41% 30.87% 39.73% -12.1 21
1989-10-15 Brondby W 4-0 1695 1731 38.72% 30.88% 30.40% +44.4 35
1989-10-15 @ Lyngby L 0-4 1731 1695 30.40% 30.88% 38.72% -44.4 34
1989-10-15 Aalborg W 5-4 1605 1501 54.66% 29.90% 15.44% +6.4 23
1989-10-15 @ Naestved L 4-5 1501 1605 15.44% 29.90% 54.66% -6.4 19
1989-10-15 Silkeborg D 0-0 1675 1564 55.34% 29.80% 14.86% -3.7 32
1989-10-15 @ Vejle BK D 0-0 1564 1675 14.86% 29.80% 55.34% +3.7 23
1989-10-22 Bronshoj L 1-3 1495 1361 57.30% 29.46% 13.24% -33.7 19
1989-10-22 @ Aalborg W 3-1 1361 1495 13.24% 29.46% 57.30% +33.7 12
1989-10-22 B 1913 W 4-0 1687 1383 68.36% 25.94% 5.71% +10.3 36
1989-10-22 @ Brondby L 0-4 1383 1687 5.71% 25.94% 68.36% -10.3 12
1989-10-22 Frem L 0-3 1627 1484 58.07% 29.32% 12.62% -57.2 26
1989-10-22 @ B 1903 W 3-0 1484 1627 12.62% 29.32% 58.07% +57.2 23
1989-10-22 Naestved W 2-0 1352 1611 14.02% 28.85% 57.13% +38.5 15
1989-10-22 @ Herfolge L 0-2 1611 1352 57.13% 28.85% 14.02% -38.5 23
1989-10-22 Aarhus GF W 2-0 1744 1727 45.59% 30.71% 23.71% +19.5 39
1989-10-22 @ Odense L 0-2 1727 1744 23.71% 30.71% 45.59% -19.5 31
1989-10-22 Lyngby D 1-1 1568 1739 21.51% 30.14% 48.35% +2.1 24
1989-10-22 @ Silkeborg D 1-1 1739 1568 48.35% 30.14% 21.51% -2.1 36
1989-10-22 Ikast W 4-1 1672 1479 61.70% 28.45% 9.85% +11.5 34
1989-10-22 @ Vejle BK L 1-4 1479 1672 9.85% 28.45% 61.70% -11.5 20
1989-10-29 Aalborg W 1-0 1707 1461 65.15% 27.31% 7.54% +3.8 33
1989-10-29 @ Aarhus GF L 0-1 1461 1707 7.54% 27.31% 65.15% -3.8 19
1989-10-29 Silkeborg D 0-0 1373 1570 19.07% 29.84% 51.09% +2.8 13
1989-10-29 @ B 1913 D 0-0 1570 1373 51.09% 29.84% 19.07% -2.8 25
1989-10-29 Herfolge D 1-1 1394 1391 43.92% 30.77% 25.30% -1.4 13
1989-10-29 @ Bronshoj D 1-1 1391 1394 25.30% 30.77% 43.92% +1.4 16
1989-10-29 Odense L 1-2 1541 1764 16.76% 29.46% 53.78% -7.4 23
1989-10-29 @ Frem W 2-1 1764 1541 53.78% 29.46% 16.76% +7.4 41
1989-10-29 B 1903 D 2-2 1467 1570 29.57% 30.72% 39.71% +0.5 21
1989-10-29 @ Ikast D 2-2 1570 1467 39.71% 30.72% 29.57% -0.5 27
1989-10-29 Vejle BK W 2-1 1737 1683 49.75% 30.44% 19.81% +8.5 38
1989-10-29 @ Lyngby L 1-2 1683 1737 19.81% 30.44% 49.75% -8.5 34
1989-10-29 Brondby L 1-4 1573 1697 26.83% 30.58% 42.59% -26.1 23
1989-10-29 @ Naestved W 4-1 1697 1573 42.59% 30.58% 26.83% +26.1 38

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 1989-10-07 10.67% Naestved 1584 2 @ Odense 1761 1
2 1989-08-02 11.83% @ Herfolge 1465 1 Brondby 1758 0
3 1989-05-14 12.58% B 1913 1452 3 @ Silkeborg 1597 1
4 1989-10-22 12.62% Frem 1484 3 @ B 1903 1627 0
5 1989-10-07 12.80% B 1913 1381 1 @ Aalborg 1522 0
6 1989-10-07 13.12% Ikast 1447 2 @ Silkeborg 1583 1
7 1989-10-22 13.24% Bronshoj 1361 3 @ Aalborg 1495 1
8 1989-10-22 14.02% @ Herfolge 1352 2 Naestved 1611 0
9 1989-07-30 14.48% Herfolge 1445 1 @ Silkeborg 1561 0
10 1989-09-10 15.86% @ Aalborg 1506 2 Brondby 1740 0
11 1989-06-11 16.32% Naestved 1541 3 @ B 1903 1634 0
12 1989-05-21 17.24% Silkeborg 1563 3 @ Lyngby 1645 2
13 1989-09-03 17.30% Odense 1694 2 @ Brondby 1776 0
14 1989-10-15 18.45% Herfolge 1334 1 @ B 1913 1402 0
15 1989-08-02 18.46% Bronshoj 1441 3 @ Ikast 1509 1
16 1989-04-09 21.97% @ Frem 1440 1 Vejle BK 1608 0
17 1989-05-28 23.83% Aarhus GF 1607 2 @ B 1903 1623 0
18 1989-09-03 25.09% Aarhus GF 1660 5 @ Lyngby 1666 3
19 1989-06-04 25.24% @ Vejle BK 1651 2 Brondby 1788 0
20 1989-05-28 25.62% @ Aalborg 1460 2 Naestved 1594 0
21 1989-07-30 25.75% Odense 1651 2 @ Lyngby 1651 0
22 1989-09-10 26.80% @ B 1903 1607 3 Vejle BK 1732 1
23 1989-06-04 27.16% Aalborg 1490 2 @ B 1913 1479 1
24 1989-08-27 28.42% @ Frem 1475 2 Silkeborg 1587 1
25 1989-04-16 29.09% Odense 1531 1 @ Herfolge 1504 0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 1989-10-22 57.20 Frem 3 1484 12.62% @ B 1903 0 1627 58.07% 29.32%
2 1989-06-11 53.06 Naestved 3 1541 16.32% @ B 1903 0 1634 53.65% 30.03%
3 1989-10-15 44.38 @ Lyngby 4 1695 38.72% Brondby 0 1731 30.40% 30.88%
4 1989-06-04 42.19 B 1903 4 1591 40.93% @ Bronshoj 0 1480 28.40% 30.67%
5 1989-04-09 38.53 Brondby 4 1708 44.42% @ Odense 0 1569 25.11% 30.47%
6 1989-10-22 38.49 @ Herfolge 2 1352 14.02% Naestved 0 1611 57.13% 28.85%
7 1989-09-10 37.06 @ Aalborg 2 1506 15.86% Brondby 0 1740 54.86% 29.28%
8 1989-09-03 35.83 Odense 2 1694 17.30% @ Brondby 0 1776 52.53% 30.17%
9 1989-08-06 34.19 @ Silkeborg 3 1542 38.44% Naestved 0 1580 30.68% 30.88%
10 1989-05-14 34.14 B 1913 3 1452 12.58% @ Silkeborg 1 1597 58.11% 29.31%
11 1989-10-22 33.68 Bronshoj 3 1361 13.24% @ Aalborg 1 1495 57.30% 29.46%
12 1989-04-30 32.12 @ Odense 3 1563 41.07% Ikast 0 1582 28.08% 30.85%
13 1989-05-28 31.53 Aarhus GF 2 1607 23.83% @ B 1903 0 1623 45.45% 30.71%
14 1989-08-13 31.36 @ Frem 3 1452 42.00% Herfolge 0 1463 27.17% 30.83%
15 1989-06-04 30.77 @ Vejle BK 2 1651 25.24% Brondby 0 1788 44.28% 30.48%
16 1989-05-28 30.54 @ Aalborg 2 1460 25.62% Naestved 0 1594 43.87% 30.51%
17 1989-07-30 30.39 Odense 2 1651 25.75% @ Lyngby 0 1651 43.47% 30.79%
18 1989-08-02 30.32 Bronshoj 3 1441 18.46% @ Ikast 1 1509 51.23% 30.31%
19 1989-08-27 29.06 @ Naestved 4 1525 52.55% B 1913 0 1443 17.28% 30.17%
20 1989-08-20 27.60 B 1903 3 1590 46.70% @ Herfolge 0 1432 23.00% 30.30%
21 1989-09-17 27.23 Frem 2 1463 31.38% @ B 1913 0 1419 37.74% 30.88%
22 1989-04-30 27.19 @ Silkeborg 5 1568 49.53% Bronshoj 1 1516 20.02% 30.46%
23 1989-10-29 26.13 Brondby 4 1697 42.59% @ Naestved 1 1573 26.83% 30.58%
24 1989-09-10 25.85 @ B 1903 3 1607 26.80% Vejle BK 1 1732 42.62% 30.58%
25 1989-05-21 25.14 Vejle BK 2 1612 35.43% @ Ikast 0 1540 33.73% 30.84%