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1959 1st Division Season

132 games

Final

Champion

B 1909

33 points · 1st Title

Relegated

B.93

6 pts

Koge BK · 16 pts

Biggest Overachiever

KB Copenhagen

8.42 points above expected

31 points · 22.58 expected points

Biggest Disappointment

B.93

9.80 points below expected

6 points · 15.80 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 B 1909 Champion 22 14 5 3 33 47 28 +19 25.18 +7.82
2 KB Copenhagen 22 15 1 6 31 48 27 +21 22.58 +8.42
3 Vejle BK 22 14 1 7 29 47 37 +10 27.08 +1.92
4 Odense 22 13 1 8 27 49 37 +12 25.44 +1.56
5 Aarhus GF 22 10 2 10 22 39 39 0 24.57 -2.57
6 Esbjerg 22 8 5 9 21 36 32 +4 25.21 -4.21
7 AB Gladsaxe 22 9 3 10 21 51 53 -2 19.44 +1.56
8 Frem 22 8 4 10 20 45 44 +1 24.77 -4.77
9 Skovshoved 22 8 4 10 20 32 50 -18 15.81 +4.19
10 B 1903 22 7 4 11 18 35 38 -3 18.61 -0.61
11 Koge BK Relegated 22 7 2 13 16 31 40 -9 19.51 -3.51
12 B.93 Relegated 22 2 2 18 6 27 62 -35 15.80 -9.80

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 KB Copenhagen 31 22.58 +8.42
2 B 1909 33 25.18 +7.82
3 Skovshoved 20 15.81 +4.19
4 Vejle BK 29 27.08 +1.92
5 Odense 27 25.44 +1.56

Biggest Disappointments

# Team Actual Sim vsSim
1 B.93 6 15.80 -9.80
2 Frem 20 24.77 -4.77
3 Esbjerg 21 25.21 -4.21
4 Koge BK 16 19.51 -3.51
5 Aarhus GF 22 24.57 -2.57

Top Streaks

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

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 KB Copenhagen 6 Sep 27 – Nov 22 1 in 48
2 Odense 5 Apr 5 – May 10 1 in 47
3 Vejle BK 4 Apr 26 – May 17 1 in 19
4 Skovshoved 2 May 17 – May 30 1 in 14
5 Frem 3 Mar 22 – Apr 5 1 in 12

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Koge BK 8 Sep 6 – Nov 22 1 in 249
2 Esbjerg 5 Aug 9 – Sep 20 1 in 101
3 Aarhus GF 4 Apr 19 – May 10 1 in 53
4 B.93 6 Jun 7 – Sep 20 1 in 26
5 Frem 4 Oct 25 – Nov 22 1 in 23

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 B 1909 10 Mar 15 – May 31 1 in 157
2 Odense 5 Apr 5 – May 10 1 in 13
3 KB Copenhagen 6 Sep 27 – Nov 22 1 in 12
4 Skovshoved 3 Mar 29 – Apr 19 1 in 12
5 AB Gladsaxe 4 Apr 19 – May 14 1 in 11

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Frem 6 Apr 18 – May 31 1 in 129
2 Esbjerg 7 Jun 7 – Sep 27 1 in 116
3 B.93 12 Jun 7 – Nov 8 1 in 42
4 Koge BK 8 Sep 6 – Nov 22 1 in 35
5 Aarhus GF 5 Apr 5 – May 10 1 in 28

Position Race

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

Recent Form

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

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
B 1909 1593 33 +13 8 6.1 +1.9
KB Copenhagen 1607 31 +46 10 6.4 +3.6
Vejle BK 1590 29 -10 8 6.6 +1.4
Odense 1587 27 +11 6 5.8 +0.2
Aarhus GF 1526 22 -2 6 5.4 +0.6
Esbjerg 1538 21 +43 7 5.4 +1.6
AB Gladsaxe 1469 21 -9 5 4.6 +0.4
Skovshoved 1414 20 +20 3 3.6 -0.6
Frem 1513 20 -36 2 5.1 -3.1
B 1903 1447 18 -1 4 3.9 +0.1
Koge BK 1420 16 -42 0 4.0 -4.0
B.93 1349 6 -32 1 3.0 -2.0

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 AG AG B1 B1 B.9 ESB FRE KC KB ODE SKO VB
AB Gladsaxe —
1-0-1
2.32
0-0-2
3.36
0-0-2
2.27
2-0-0
3.37
0-1-1
2.28
0-2-0
2.12
1-0-1
2.50
2-0-0
2.86
0-0-2
2.34
2-0-0
3.39
1-0-1
2.01
Aarhus GF
1-0-1
3.41
—
1-1-0
3.57
0-1-1
2.77
2-0-0
3.87
1-0-1
2.69
2-0-0
2.43
0-0-2
3.23
0-0-2
3.41
1-0-1
2.82
2-0-0
3.61
0-0-2
2.67
B 1903
2-0-0
2.36
0-1-1
2.15
—
0-0-2
2.25
0-1-1
3.19
1-1-0
2.28
0-1-1
1.95
1-0-1
2.42
1-0-1
2.72
1-0-1
2.02
1-0-1
3.19
0-0-2
2.07
B 1909
2-0-0
3.45
1-1-0
2.96
2-0-0
3.48
—
2-0-0
3.87
1-1-0
2.65
2-0-0
2.99
0-1-1
3.36
1-0-1
3.74
1-1-0
3.04
1-1-0
3.84
1-0-1
2.71
B.93
0-0-2
2.36
0-0-2
1.86
1-1-0
2.54
0-0-2
1.86
—
0-0-2
1.88
1-0-1
1.76
0-0-2
1.93
0-0-2
2.32
0-0-2
1.86
0-1-1
2.73
0-0-2
1.77
Esbjerg
1-1-0
3.44
1-0-1
3.03
0-1-1
3.45
0-1-1
3.08
2-0-0
3.85
—
1-0-1
2.73
0-0-2
3.44
1-1-0
3.67
1-0-1
2.74
1-1-0
3.74
0-0-2
2.92
Frem
0-2-0
3.60
0-0-2
3.29
1-1-0
3.78
0-0-2
2.73
1-0-1
3.97
1-0-1
3.00
—
1-0-1
2.89
1-1-0
3.42
0-0-2
2.98
2-0-0
3.82
1-0-1
2.59
KB Copenhagen
1-0-1
3.23
2-0-0
2.50
1-0-1
3.31
1-1-0
2.37
2-0-0
3.81
2-0-0
2.29
1-0-1
2.83
—
2-0-0
3.57
2-0-0
2.63
1-0-1
3.72
0-0-2
2.26
Koge BK
0-0-2
2.87
2-0-0
2.32
1-0-1
3.01
1-0-1
1.99
2-0-0
3.40
0-1-1
2.06
0-1-1
2.30
0-0-2
2.16
—
0-0-2
2.20
0-0-2
3.54
1-0-1
1.77
Odense
2-0-0
3.39
1-0-1
2.90
1-0-1
3.71
0-1-1
2.69
2-0-0
3.87
1-0-1
2.98
2-0-0
2.74
0-0-2
3.09
2-0-0
3.53
—
0-0-2
4.17
2-0-0
2.55
Skovshoved
0-0-2
2.34
0-0-2
2.12
1-0-1
2.54
0-1-1
1.89
1-1-0
3.00
0-1-1
1.99
0-0-2
1.91
1-0-1
2.01
2-0-0
2.18
2-0-0
1.56
—
1-1-0
1.61
Vejle BK
1-0-1
3.71
2-0-0
3.06
2-0-0
3.66
1-0-1
3.02
2-0-0
3.96
2-0-0
2.81
1-0-1
3.14
2-0-0
3.47
1-0-1
3.96
0-0-2
3.18
0-1-1
4.12
—

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 0.62 +7.1
Allowed 0.63 -5.7
Differential 0.88 +4.4

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
01.52%4.92%5.68%3.41%2.65%1.14%19.32%
14.92%8.33%7.95%4.55%1.14%2.27%29.17%
25.68%7.95%0.76%3.41%3.03%1.52%22.35%
33.41%4.55%3.41%1.52%1.52%—14.39%
42.65%1.14%3.03%1.52%—0.38%8.71%
5+1.14%2.27%1.52%—0.38%0.76%6.06%
Total19.32%29.17%22.35%14.39%8.71%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.84 1.84 +0.00
SD 1.50 1.50 2.25
CV 0.81 0.81 —
Max 7 7 +7
Min 0 0 -7

Games Played: 132

↓ Scored | Allowed →012345+Total
0—9.09%4.55%4.55%9.09%—27.27%
1——9.09%———9.09%
2—4.55%—4.55%——9.09%
34.55%4.55%4.55%9.09%——22.73%
4—4.55%4.55%9.09%—4.55%22.73%
5+—4.55%———4.55%9.09%
Total4.55%27.27%22.73%27.27%9.09%9.09%100%

Summary Statistics

Scored Allowed Difference
Mean 2.32 2.41 -0.09
SD 1.78 1.47 2.18
CV 0.77 0.61 —
Max 5 6 +4
Min 0 0 -4

Games Played: 22

↓ Scored | Allowed →012345+Total
0—4.55%—9.09%——13.64%
1—9.09%13.64%9.09%4.55%—36.36%
24.55%9.09%————13.64%
39.09%9.09%9.09%—4.55%—31.82%
4——4.55%———4.55%
5+———————
Total13.64%31.82%27.27%18.18%9.09%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.77 +0.00
SD 1.19 1.19 1.93
CV 0.67 0.67 —
Max 4 4 +3
Min 0 0 -3

Games Played: 22

↓ Scored | Allowed →012345+Total
0—9.09%9.09%4.55%—4.55%27.27%
14.55%18.18%13.64%4.55%—4.55%45.45%
2—4.55%————4.55%
3——4.55%———4.55%
44.55%—4.55%———9.09%
5+4.55%4.55%————9.09%
Total13.64%36.36%31.82%9.09%—9.09%100%

Summary Statistics

Scored Allowed Difference
Mean 1.59 1.73 -0.14
SD 1.87 1.35 2.71
CV 1.17 0.78 —
Max 7 5 +7
Min 0 0 -5

Games Played: 22

↓ Scored | Allowed →012345+Total
0——13.64%———13.64%
19.09%18.18%————27.27%
29.09%9.09%4.55%———22.73%
3—4.55%9.09%———13.64%
44.55%—4.55%4.55%——13.64%
5+——9.09%———9.09%
Total22.73%31.82%40.91%4.55%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.14 1.27 +0.86
SD 1.55 0.88 1.58
CV 0.73 0.69 —
Max 5 3 +4
Min 0 0 -2

Games Played: 22

↓ Scored | Allowed →012345+Total
0—9.09%——13.64%—22.73%
14.55%9.09%13.64%4.55%4.55%—36.36%
24.55%——4.55%18.18%9.09%36.36%
3————4.55%—4.55%
4———————
5+———————
Total9.09%18.18%13.64%9.09%40.91%9.09%100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 2.82 -1.59
SD 0.87 1.59 1.56
CV 0.71 0.57 —
Max 3 5 +2
Min 0 0 -4

Games Played: 22

↓ Scored | Allowed →012345+Total
04.55%—4.55%4.55%4.55%—18.18%
14.55%13.64%22.73%———40.91%
24.55%9.09%—4.55%——18.18%
3—4.55%—4.55%——9.09%
49.09%—————9.09%
5+—4.55%————4.55%
Total22.73%31.82%27.27%13.64%4.55%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.64 1.45 +0.18
SD 1.40 1.14 2.11
CV 0.85 0.79 —
Max 5 4 +4
Min 0 0 -4

Games Played: 22

↓ Scored | Allowed →012345+Total
0——9.09%4.55%——13.64%
1—9.09%4.55%18.18%4.55%—36.36%
2—9.09%——4.55%—13.64%
313.64%4.55%—4.55%——22.73%
4———————
5+4.55%—4.55%——4.55%13.64%
Total18.18%22.73%18.18%27.27%9.09%4.55%100%

Summary Statistics

Scored Allowed Difference
Mean 2.05 2.00 +0.05
SD 1.68 1.45 2.40
CV 0.82 0.72 —
Max 6 5 +5
Min 0 0 -3

Games Played: 22

↓ Scored | Allowed →012345+Total
0—4.55%4.55%4.55%——13.64%
19.09%4.55%—9.09%—4.55%27.27%
218.18%9.09%————27.27%
34.55%4.55%————9.09%
44.55%4.55%————9.09%
5+4.55%4.55%——4.55%—13.64%
Total40.91%31.82%4.55%13.64%4.55%4.55%100%

Summary Statistics

Scored Allowed Difference
Mean 2.18 1.23 +0.95
SD 1.71 1.48 2.40
CV 0.78 1.20 —
Max 6 5 +5
Min 0 0 -4

Games Played: 22

↓ Scored | Allowed →012345+Total
04.55%13.64%13.64%4.55%——36.36%
1—4.55%4.55%4.55%—4.55%18.18%
29.09%9.09%—4.55%——22.73%
3—4.55%——9.09%—13.64%
4—4.55%4.55%———9.09%
5+———————
Total13.64%36.36%22.73%13.64%9.09%4.55%100%

Summary Statistics

Scored Allowed Difference
Mean 1.41 1.82 -0.41
SD 1.37 1.37 1.84
CV 0.97 0.75 —
Max 4 5 +3
Min 0 0 -4

Games Played: 22

↓ Scored | Allowed →012345+Total
0—4.55%——4.55%—9.09%
113.64%—9.09%———22.73%
24.55%13.64%4.55%9.09%9.09%—40.91%
3——4.55%———4.55%
44.55%—9.09%———13.64%
5+—4.55%4.55%———9.09%
Total22.73%22.73%31.82%9.09%13.64%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.23 1.68 +0.55
SD 1.54 1.32 2.06
CV 0.69 0.79 —
Max 6 4 +4
Min 0 0 -4

Games Played: 22

↓ Scored | Allowed →012345+Total
04.55%4.55%4.55%4.55%—9.09%27.27%
14.55%13.64%4.55%——9.09%31.82%
24.55%9.09%—4.55%—4.55%22.73%
3—4.55%9.09%———13.64%
4———————
5+—4.55%————4.55%
Total13.64%36.36%18.18%9.09%—22.73%100%

Summary Statistics

Scored Allowed Difference
Mean 1.45 2.27 -0.82
SD 1.44 2.05 2.77
CV 0.99 0.90 —
Max 6 7 +5
Min 0 0 -7

Games Played: 22

↓ Scored | Allowed →012345+Total
04.55%—4.55%———9.09%
19.09%——4.55%—4.55%18.18%
29.09%9.09%—9.09%4.55%4.55%36.36%
39.09%13.64%————22.73%
44.55%—4.55%4.55%——13.64%
5+———————
Total36.36%22.73%9.09%18.18%4.55%9.09%100%

Summary Statistics

Scored Allowed Difference
Mean 2.14 1.68 +0.45
SD 1.17 1.89 2.32
CV 0.55 1.12 —
Max 4 6 +4
Min 0 0 -5

Games Played: 22

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
KB Copenhagen 1607 31 22.58 +8.42 97.0% 11 15 20 22 25 30 34
B 1909 1593 33 25.18 +7.82 100.0% 15 17 22 25 29 32 32
Vejle BK 1590 29 27.08 +1.92 72.0% 17 21 24 27 30 33 35
Odense 1587 27 25.44 +1.56 70.0% 14 19 23 25 28 32 35
Esbjerg 1538 21 25.21 -4.21 18.0% 17 20 22 25 27 32 36
Aarhus GF 1526 22 24.57 -2.57 32.0% 13 17 22 25 28 31 34
Frem 1513 20 24.77 -4.77 19.0% 15 18 21 25 28 31 35
AB Gladsaxe 1469 21 19.44 +1.56 68.0% 10 13 17 19 23 25 30
B 1903 1447 18 18.61 -0.61 50.0% 5 11 16 18 21 26 27
Koge BK 1420 16 19.51 -3.51 26.0% 11 12 16 20 23 26 31
Skovshoved 1414 20 15.81 +4.19 84.0% 6 8 13 16 18 23 26
B.93 1349 6 15.80 -9.80 0.0% 7 8 13 15 19 21 31

Point 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).

Home-Field Advantage Edge

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

Season Trends

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

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 8.5% * Slight Edge: 8.5% to 12.5% * Clear Edge: 12.5% to 17.5% * Strong Edge: 17.5% 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
+2.27%
No Edge
44.70%12.88%42.42%
Elo Value
Home Edge: 7.90 Elo pts.
171 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
+0.02 goals
Neutral
-2+0.05+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 3 * Top-Heavy: 3 to 4 * Open: 4 to 6 * Wide Open: 6 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 6th * Longshot: 7th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.06 * Tight Race: 0.06 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.
Title-Race Openness
6.6
Wide Open
134610
Champion Preseason Odds
15%
B 1909, 3rd of 12
LongshotFavorite
Title Margin
Expected
0.09/gm
Tight Race
00.110.5/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 3.4 * Some Luck: 3.4 to 5.11 * Lucky: 5.11 to 6.81 * Wild Swing: 6.81 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 1.77 * Close: 1.77 to 2.65 * Off: 2.65 to 3.54 * Way Off: 3.54 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 12 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 12 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.
Unexpected Relegations
Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 0.82 * A Surprise: 0.82 to 1.31 * Several Surprises: 1.31 to 1.8 * Many Surprises: 1.8 and up.
Luck Spread
Expected
5.12 points
Lucky
04.2511
Average Finish Error
Expected
2.17
Close
02.215
Biggest Overachiever
Expected 95.83%
100.00%
B 1909
50100
Biggest Underachiever
Expected 4.17%
0.00%
B.93
050
Season Outliers
Expected
3 of 12
Minimal Outliers
01.26
Unexpected Relegations
Expected
1 of 2
A Surprise
00.82

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 0.15 * Top-Heavy: 0.15 to 0.17 * Lopsided: 0.17 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.35 * Moderate Separation: 1.35 to 1.6 * Strong Separation: 1.6 to 1.9 * Wide Separation: 1.9 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 59% * Slight Edge: 59% to 64.5% * Clear Edge: 64.5% to 69% * Wide Edge: 69% 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 79% * Clear Edge: 79% to 85% * Strong Edge: 85% to 88.5% * Dominant: 88.5% 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 54.5% * Some Drama: 54.5% to 58% * Frequent: 58% to 61.5% * Very Frequent: 61.5% 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 15.5% * Occasional: 15.5% to 19% * Frequent: 19% to 23% * Very Frequent: 23% and up.
Gini Index
0.17
Lopsided
00.120.5
Noll-Scully
Elo SD: 84.50
1.68
Strong Separation
0.651.351.61.92.5
Interquartile Edge
70%
Wide Edge
50%59%69%100%
Best vs. Worst
Baseline
82%
Clear Edge
50%84%100%
Close Games
Expected
48%
Few
0%49%100%
Blowouts
Expected
24%
Very Frequent
0%27%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 0.28 * Slight Separation: 0.28 to 0.32 * Notable Separation: 0.32 to 0.37 * Lopsided: 0.37 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 0.5 * Strong Carryover: 0.5 to 0.63 * Near-Lock: 0.63 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 24% * As Expected: 24% to 26.5% * Upset-Prone: 26.5% to 30.5% * Very Upset-Prone: 30.5% 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 20.5% * As Expected: 20.5% to 23.5% * Shaky Favorites: 23.5% to 27% * Very Shaky: 27% and up.
Brier Score
Expected
0.58
Predictable
00.582
Matchup Imbalance
0.22
Very Even
00.280.370.5
Strangeness
Expected
1.37
Wilder Than Modeled
01.002
Repeatability
0.55
Strong Carryover
00.30.50.631
Upset Rate
Expected
36%
Very Upset-Prone
0%33%50%
Clear Favorite Upset Rate
Expected
25%
Shaky Favorites
0%29%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 0.14 * Near Noise Ceiling: 0.14 to 0.21 * Above Noise: 0.21 to 0.27 * Well Above Noise: 0.27 and up.
Probability calibration
0.43
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.96
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.074
Well Within Noise
00.1370.4

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team123456789101112
B 190915.00%12.00%19.00%11.00%11.00%10.00%9.00%4.00%5.00%2.00%1.00%1.00%
KB Copenhagen6.00%13.00%6.00%10.00%10.00%16.00%6.00%11.00%11.00%5.00%4.00%2.00%
Vejle BK22.00%20.00%16.00%14.00%13.00%6.00%4.00%2.00%1.00%2.00%——
Odense16.00%12.00%12.00%19.00%11.00%7.00%6.00%12.00%2.00%1.00%—2.00%
Aarhus GF11.00%13.00%16.00%10.00%10.00%8.00%13.00%5.00%4.00%6.00%4.00%—
Esbjerg15.00%13.00%9.00%12.00%12.00%15.00%10.00%8.00%3.00%3.00%——
AB Gladsaxe1.00%2.00%2.00%4.00%9.00%5.00%10.00%14.00%19.00%17.00%9.00%8.00%
Frem13.00%11.00%15.00%9.00%10.00%9.00%13.00%7.00%8.00%4.00%1.00%—
Skovshoved———1.00%2.00%7.00%5.00%3.00%9.00%13.00%29.00%31.00%
B 1903—1.00%4.00%4.00%4.00%6.00%6.00%16.00%16.00%18.00%15.00%10.00%
Koge BK—2.00%1.00%6.00%8.00%9.00%12.00%11.00%11.00%15.00%15.00%10.00%
B.931.00%1.00%———2.00%6.00%7.00%11.00%14.00%22.00%36.00%

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.

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
Esbjerg 100% —
Vejle BK 100% —
Frem 99.00% 1.00%
B 1909 98.00% 2.00%
Odense 98.00% 2.00%
Aarhus GF 96.00% 4.00%
KB Copenhagen 94.00% 6.00%
AB Gladsaxe 83.00% 17.00%
B 1903 75.00% 25.00%
Koge BK 75.00% 25.00%
B.93 42.00% 58.00%
Skovshoved 40.00% 60.00%

Overall Game Log

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

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
1959-03-14 B.93 W 3-258.1 1443 1482 39.27% 13.65% 47.08%-0.18 +7.0 2
1959-03-14 @ Skovshoved L 2-358.1 1482 1443 47.08% 13.65% 39.27%+0.18 -7.0 0
1959-03-15 Frem W 2-050.1 1518 1547 40.71% 13.65% 45.64%-0.12 +14.5 2
1959-03-15 @ B 1909 L 0-250.1 1547 1518 45.64% 13.65% 40.71%+0.12 -14.5 0
1959-03-15 AB Gladsaxe W 2-152.5 1550 1480 54.44% 13.61% 31.95%+0.46 +5.3 2
1959-03-15 @ Esbjerg L 1-252.5 1480 1550 31.95% 13.61% 54.44%-0.46 -5.3 0
1959-03-15 Aarhus GF D 1-164.6 1425 1543 29.01% 13.57% 57.42%-0.64 +1.1 1
1959-03-15 @ B 1903 D 1-164.6 1543 1425 57.42% 13.57% 29.01%+0.64 -1.1 1
1959-03-15 Odense W 1-054.0 1488 1549 36.36% 13.64% 50.00%-0.31 +8.3 2
1959-03-15 @ KB Copenhagen L 0-154.0 1549 1488 50.00% 13.64% 36.36%+0.31 -8.3 0
1959-03-15 Koge BK L 0-253.1 1574 1454 60.43% 13.54% 26.03%+0.75 -18.8 0
1959-03-15 @ Vejle BK W 2-053.1 1454 1574 26.03% 13.54% 60.43%-0.75 +18.8 2
1959-03-21 B 1903 L 0-149.6 1475 1426 51.58% 13.63% 34.79%+0.33 -8.6 0
1959-03-21 @ AB Gladsaxe W 1-049.6 1426 1475 34.79% 13.63% 51.58%-0.33 +8.6 3
1959-03-22 Skovshoved W 2-150.3 1542 1450 57.13% 13.58% 29.29%+0.58 +4.9 3
1959-03-22 @ Aarhus GF L 1-250.3 1450 1542 29.29% 13.58% 57.13%-0.58 -4.9 2
1959-03-22 B 1909 L 2-550.9 1475 1532 36.85% 13.64% 49.51%-0.29 -12.7 0
1959-03-22 @ B.93 W 5-250.9 1532 1475 49.51% 13.64% 36.85%+0.29 +12.7 4
1959-03-22 Vejle BK W 3-155.4 1532 1555 41.64% 13.66% 44.71%-0.09 +12.3 2
1959-03-22 @ Frem L 1-355.4 1555 1532 44.71% 13.66% 41.64%+0.09 -12.3 0
1959-03-22 KB Copenhagen L 0-245.3 1473 1497 41.44% 13.66% 44.90%-0.09 -13.3 2
1959-03-22 @ Koge BK W 2-045.3 1497 1473 44.90% 13.66% 41.44%+0.09 +13.3 4
1959-03-22 Esbjerg L 0-446.0 1540 1556 42.67% 13.66% 43.67%-0.04 -25.9 0
1959-03-22 @ Odense W 4-046.0 1556 1540 43.67% 13.66% 42.67%+0.04 +25.9 4
1959-03-29 Aarhus GF L 1-252.4 1466 1547 33.69% 13.62% 52.69%-0.42 -5.5 0
1959-03-29 @ AB Gladsaxe W 2-152.4 1547 1466 52.69% 13.62% 33.69%+0.42 +5.5 5
1959-03-29 Skovshoved D 1-165.4 1545 1445 58.08% 13.57% 28.34%+0.63 -1.2 5
1959-03-29 @ B 1909 D 1-165.4 1445 1545 28.34% 13.57% 58.08%-0.63 +1.2 3
1959-03-29 Koge BK D 0-064.1 1582 1459 60.71% 13.53% 25.75%+0.76 -1.5 5
1959-03-29 @ Esbjerg D 0-064.1 1459 1582 25.75% 13.53% 60.71%-0.76 +1.6 3
1959-03-29 Odense W 4-257.2 1435 1514 33.80% 13.62% 52.58%-0.42 +12.7 5
1959-03-29 @ B 1903 L 2-457.2 1514 1435 52.58% 13.62% 33.80%+0.42 -12.7 0
1959-03-30 Frem L 0-345.1 1510 1545 39.91% 13.65% 46.44%-0.16 -18.7 4
1959-03-30 @ KB Copenhagen W 3-045.1 1545 1510 46.44% 13.65% 39.91%+0.16 +18.7 4
1959-03-30 B.93 W 4-039.1 1543 1463 55.67% 13.60% 30.73%+0.51 +19.4 2
1959-03-30 @ Vejle BK L 0-439.1 1463 1543 30.73% 13.60% 55.67%-0.51 -19.4 0
1959-04-04 KB Copenhagen L 0-146.6 1443 1491 38.07% 13.65% 48.28%-0.23 -6.5 0
1959-04-04 @ B.93 W 1-046.6 1491 1443 48.28% 13.65% 38.07%+0.23 +6.5 6
1959-04-05 B 1909 D 1-169.2 1552 1544 46.09% 13.66% 40.25%+0.10 -0.2 6
1959-04-05 @ Aarhus GF D 1-169.2 1544 1552 40.25% 13.66% 46.09%-0.10 +0.2 6
1959-04-05 Esbjerg W 2-159.9 1563 1580 42.47% 13.66% 43.87%-0.05 +7.0 6
1959-04-05 @ Frem L 1-259.9 1580 1563 43.87% 13.66% 42.47%+0.05 -7.0 5
1959-04-05 B 1903 W 2-150.4 1461 1448 46.75% 13.65% 39.59%+0.12 +6.4 5
1959-04-05 @ Koge BK L 1-250.4 1448 1461 39.59% 13.65% 46.75%-0.12 -6.4 5
1959-04-05 AB Gladsaxe W 2-043.3 1502 1461 50.59% 13.64% 35.77%+0.29 +11.7 2
1959-04-05 @ Odense L 0-243.3 1461 1502 35.77% 13.64% 50.59%-0.29 -11.7 0
1959-04-05 Vejle BK D 0-062.8 1446 1562 29.28% 13.57% 57.15%-0.63 +1.2 4
1959-04-05 @ Skovshoved D 0-062.8 1562 1446 57.15% 13.57% 29.28%+0.63 -1.2 3
1959-04-12 B.93 W 1-045.2 1573 1437 62.28% 13.51% 24.21%+0.84 +4.4 7
1959-04-12 @ Esbjerg L 0-145.2 1437 1573 24.21% 13.51% 62.28%-0.84 -4.4 0
1959-04-18 Frem D 1-166.2 1441 1570 27.68% 13.55% 58.77%-0.71 +1.2 6
1959-04-18 @ B 1903 D 1-166.2 1570 1441 58.77% 13.55% 27.68%+0.71 -1.2 7
1959-04-19 Koge BK W 4-360.6 1449 1467 42.25% 13.66% 44.10%-0.06 +6.5 2
1959-04-19 @ AB Gladsaxe L 3-460.6 1467 1449 44.10% 13.66% 42.25%+0.06 -6.5 5
1959-04-19 Skovshoved L 0-247.5 1498 1448 51.80% 13.63% 34.57%+0.34 -16.2 6
1959-04-19 @ KB Copenhagen W 2-047.5 1448 1498 34.57% 13.63% 51.80%-0.34 +16.2 6
1959-04-19 Aarhus GF W 2-158.3 1513 1552 39.37% 13.65% 46.98%-0.18 +7.4 4
1959-04-19 @ Odense L 1-258.3 1552 1513 46.98% 13.65% 39.37%+0.18 -7.4 6
1959-04-19 B 1909 L 2-364.6 1561 1544 47.25% 13.65% 39.10%+0.14 -7.1 3
1959-04-19 @ Vejle BK W 3-264.6 1544 1561 39.10% 13.65% 47.25%-0.14 +7.1 8
1959-04-24 B 1903 W 1-046.1 1432 1442 43.42% 13.66% 42.92%-0.01 +7.3 2
1959-04-24 @ B.93 L 0-146.1 1442 1432 42.92% 13.66% 43.42%+0.01 -7.3 6
1959-04-26 Vejle BK L 0-154.2 1545 1554 43.58% 13.66% 42.76%-0.01 -7.4 6
1959-04-26 @ Aarhus GF W 1-054.2 1554 1545 42.76% 13.66% 43.58%+0.01 +7.4 5
1959-04-26 KB Copenhagen D 1-167.0 1551 1481 54.33% 13.61% 32.06%+0.45 -0.9 9
1959-04-26 @ B 1909 D 1-167.0 1481 1551 32.06% 13.61% 54.33%-0.45 +0.9 7
1959-04-26 AB Gladsaxe D 3-376.0 1569 1455 59.72% 13.55% 26.73%+0.71 -0.8 8
1959-04-26 @ Frem D 3-376.0 1455 1569 26.73% 13.55% 59.72%-0.71 +0.8 3
1959-04-26 Odense L 0-147.9 1461 1521 36.41% 13.64% 49.96%-0.31 -6.3 5
1959-04-26 @ Koge BK W 1-047.9 1521 1461 49.96% 13.64% 36.41%+0.31 +6.3 6
1959-04-26 Esbjerg L 0-244.4 1464 1577 29.52% 13.58% 56.90%-0.62 -9.8 6
1959-04-26 @ Skovshoved W 2-044.4 1577 1464 56.90% 13.58% 29.52%+0.62 +9.8 9
1959-05-03 B 1909 D 1-170.5 1587 1550 50.05% 13.64% 36.31%+0.26 -0.5 10
1959-05-03 @ Esbjerg D 1-170.5 1550 1587 36.31% 13.64% 50.05%-0.26 +0.5 10
1959-05-03 Skovshoved W 7-040.8 1435 1454 42.17% 13.66% 44.17%-0.06 +45.2 8
1959-05-03 @ B 1903 L 0-740.8 1454 1435 44.17% 13.66% 42.17%+0.06 -45.2 6
1959-05-03 Vejle BK L 1-350.6 1482 1561 33.93% 13.62% 52.44%-0.41 -9.7 7
1959-05-03 @ KB Copenhagen W 3-150.6 1561 1482 52.44% 13.62% 33.93%+0.41 +9.7 7
1959-05-03 Aarhus GF W 2-157.4 1454 1537 33.39% 13.62% 52.99%-0.44 +8.3 7
1959-05-03 @ Koge BK L 1-257.4 1537 1454 52.99% 13.62% 33.39%+0.44 -8.3 6
1959-05-03 Frem W 4-260.9 1527 1568 39.03% 13.65% 47.32%-0.19 +11.6 8
1959-05-03 @ Odense L 2-460.9 1568 1527 47.32% 13.65% 39.03%+0.19 -11.6 8
1959-05-09 AB Gladsaxe L 0-337.8 1409 1456 38.13% 13.65% 48.22%-0.23 -18.0 6
1959-05-09 @ Skovshoved W 3-037.8 1456 1409 48.22% 13.65% 38.13%+0.23 +18.0 5
1959-05-10 KB Copenhagen L 1-354.6 1529 1473 52.62% 13.63% 33.76%+0.38 -14.2 6
1959-05-10 @ Aarhus GF W 3-154.6 1473 1529 33.76% 13.63% 52.62%-0.38 +14.2 9
1959-05-10 B 1903 W 1-048.4 1551 1480 54.44% 13.61% 31.95%+0.46 +5.6 12
1959-05-10 @ B 1909 L 0-148.4 1480 1551 31.95% 13.61% 54.44%-0.46 -5.6 8
1959-05-10 Odense L 0-438.3 1440 1539 31.30% 13.60% 55.11%-0.53 -19.7 2
1959-05-10 @ B.93 W 4-038.3 1539 1440 55.11% 13.60% 31.30%+0.53 +19.7 10
1959-05-10 Koge BK D 1-166.5 1557 1463 57.39% 13.58% 29.03%+0.60 -1.1 9
1959-05-10 @ Frem D 1-166.5 1463 1557 29.03% 13.58% 57.39%-0.60 +1.1 8
1959-05-10 Esbjerg W 2-160.3 1571 1587 42.57% 13.66% 43.77%-0.05 +7.0 9
1959-05-10 @ Vejle BK L 1-260.3 1587 1571 43.77% 13.66% 42.57%+0.05 -7.0 10
1959-05-14 B.93 W 4-249.7 1474 1420 52.36% 13.63% 34.01%+0.36 +8.7 7
1959-05-14 @ AB Gladsaxe L 2-449.7 1420 1474 34.01% 13.63% 52.36%-0.36 -8.7 2
1959-05-17 Frem W 3-155.6 1515 1556 39.07% 13.65% 47.28%-0.19 +12.9 8
1959-05-17 @ Aarhus GF L 1-355.6 1556 1515 47.28% 13.65% 39.07%+0.19 -12.9 9
1959-05-17 B 1909 L 2-358.6 1483 1556 34.63% 13.63% 51.74%-0.38 -5.4 7
1959-05-17 @ AB Gladsaxe W 3-258.6 1556 1483 51.74% 13.63% 34.63%+0.38 +5.4 14
1959-05-17 KB Copenhagen L 0-253.6 1580 1487 57.25% 13.58% 29.17%+0.59 -17.8 10
1959-05-17 @ Esbjerg W 2-053.6 1487 1580 29.17% 13.58% 57.25%-0.59 +17.8 11
1959-05-17 Vejle BK L 1-350.0 1475 1578 30.83% 13.59% 55.58%-0.56 -8.9 8
1959-05-17 @ B 1903 W 3-150.0 1578 1475 55.58% 13.59% 30.83%+0.56 +8.9 11
1959-05-17 B.93 W 4-141.9 1464 1411 52.14% 13.63% 34.23%+0.35 +13.8 10
1959-05-17 @ Koge BK L 1-441.9 1411 1464 34.23% 13.63% 52.14%-0.35 -13.8 2
1959-05-17 Skovshoved L 1-259.5 1558 1391 65.52% 13.43% 21.04%+1.03 -10.2 10
1959-05-17 @ Odense W 2-159.5 1391 1558 21.04% 13.43% 65.52%-1.03 +10.2 8
1959-05-30 Koge BK W 3-150.2 1401 1478 34.20% 13.62% 52.18%-0.40 +14.1 10
1959-05-30 @ Skovshoved L 1-350.2 1478 1401 52.18% 13.62% 34.20%+0.40 -14.1 10
1959-05-31 Odense W 4-259.0 1562 1548 46.76% 13.65% 39.59%+0.12 +9.9 16
1959-05-31 @ B 1909 L 2-459.0 1548 1562 39.59% 13.65% 46.76%-0.12 -9.9 10
1959-05-31 Frem W 2-050.0 1397 1543 25.84% 13.52% 60.64%-0.80 +18.8 4
1959-05-31 @ B.93 L 0-250.0 1543 1397 60.64% 13.52% 25.84%+0.80 -18.8 9
1959-05-31 Aarhus GF W 2-156.1 1562 1528 49.65% 13.64% 36.70%+0.25 +6.0 12
1959-05-31 @ Esbjerg L 1-256.1 1528 1562 36.70% 13.64% 49.65%-0.25 -6.0 8
1959-05-31 B 1903 L 1-548.1 1505 1466 50.29% 13.64% 36.07%+0.27 -25.0 11
1959-05-31 @ KB Copenhagen W 5-148.1 1466 1505 36.07% 13.64% 50.29%-0.27 +24.9 10
1959-05-31 AB Gladsaxe L 2-366.8 1587 1477 59.19% 13.56% 27.25%+0.68 -8.7 11
1959-05-31 @ Vejle BK W 3-266.8 1477 1587 27.25% 13.56% 59.19%-0.68 +8.7 9
1959-06-04 Vejle BK W 6-255.1 1538 1578 39.26% 13.65% 47.09%-0.18 +19.9 12
1959-06-04 @ Odense L 2-655.1 1578 1538 47.09% 13.65% 39.26%+0.18 -19.9 11
1959-06-06 KB Copenhagen L 4-659.7 1486 1480 45.78% 13.66% 40.56%+0.08 -10.3 9
1959-06-06 @ AB Gladsaxe W 6-459.7 1480 1486 40.56% 13.66% 45.78%-0.08 +10.3 13
1959-06-07 B.93 W 4-249.3 1522 1416 58.77% 13.56% 27.66%+0.66 +7.2 10
1959-06-07 @ Aarhus GF L 2-449.3 1416 1522 27.66% 13.56% 58.77%-0.66 -7.2 4
1959-06-07 Esbjerg D 1-168.0 1491 1568 34.13% 13.62% 52.25%-0.40 +0.7 11
1959-06-07 @ B 1903 D 1-168.0 1568 1491 52.25% 13.62% 34.13%+0.40 -0.7 13
1959-06-07 Skovshoved W 5-035.7 1524 1415 59.16% 13.56% 27.28%+0.68 +21.5 11
1959-06-07 @ Frem L 0-535.7 1415 1524 27.28% 13.56% 59.16%-0.68 -21.5 10
1959-06-07 B 1909 W 2-052.2 1463 1572 30.20% 13.58% 56.21%-0.59 +17.5 12
1959-06-07 @ Koge BK L 0-252.2 1572 1463 56.21% 13.58% 30.20%+0.59 -17.5 16
1959-08-08 AB Gladsaxe L 3-456.9 1409 1476 35.49% 13.63% 50.88%-0.35 -5.4 4
1959-08-08 @ B.93 W 4-356.9 1476 1409 50.88% 13.63% 35.49%+0.35 +5.4 11
1959-08-09 Koge BK L 1-354.6 1529 1481 51.50% 13.63% 34.86%+0.33 -14.0 10
1959-08-09 @ Aarhus GF W 3-154.6 1481 1529 34.86% 13.63% 51.50%-0.33 +14.0 14
1959-08-09 Esbjerg W 2-159.1 1554 1567 42.98% 13.66% 43.36%-0.03 +6.9 18
1959-08-09 @ B 1909 L 1-259.1 1567 1554 43.36% 13.66% 42.98%+0.03 -6.9 13
1959-08-09 Odense L 1-258.4 1545 1558 43.00% 13.66% 43.34%-0.03 -6.9 11
1959-08-09 @ Frem W 2-158.4 1558 1545 43.34% 13.66% 43.00%+0.03 +6.9 14
1959-08-09 B 1903 W 2-154.2 1394 1491 31.47% 13.60% 54.93%-0.53 +8.6 12
1959-08-09 @ Skovshoved L 1-254.2 1491 1394 54.93% 13.60% 31.47%+0.53 -8.6 11
1959-08-09 KB Copenhagen W 1-049.1 1558 1490 54.12% 13.62% 32.27%+0.44 +5.7 13
1959-08-09 @ Vejle BK L 0-149.1 1490 1558 32.27% 13.62% 54.12%-0.44 -5.7 13
1959-08-15 Skovshoved W 5-139.3 1481 1402 55.56% 13.60% 30.84%+0.51 +16.2 13
1959-08-15 @ AB Gladsaxe L 1-539.3 1402 1481 30.84% 13.60% 55.56%-0.51 -16.2 12
1959-08-16 Vejle BK L 1-259.5 1560 1564 44.41% 13.66% 41.93%+0.03 -7.0 13
1959-08-16 @ Esbjerg W 2-159.5 1564 1560 41.93% 13.66% 44.41%-0.03 +7.1 15
1959-08-16 B 1909 L 1-253.6 1483 1561 34.01% 13.62% 52.36%-0.41 -5.6 11
1959-08-16 @ B 1903 W 2-153.6 1561 1483 52.36% 13.62% 34.01%+0.41 +5.6 20
1959-08-16 Aarhus GF W 3-044.8 1484 1515 40.50% 13.65% 45.84%-0.13 +21.1 15
1959-08-16 @ KB Copenhagen L 0-344.8 1515 1484 45.84% 13.65% 40.50%+0.13 -21.1 10
1959-08-16 Frem L 0-343.9 1495 1538 38.69% 13.65% 47.66%-0.21 -18.2 14
1959-08-16 @ Koge BK W 3-043.9 1538 1495 47.66% 13.65% 38.69%+0.21 +18.2 13
1959-08-16 B.93 W 2-147.1 1565 1404 64.92% 13.45% 21.64%+0.99 +3.7 16
1959-08-16 @ Odense L 1-247.1 1404 1565 21.64% 13.45% 64.92%-0.99 -3.7 4
1959-08-20 Koge BK L 2-449.2 1400 1477 34.18% 13.62% 52.20%-0.40 -8.7 4
1959-08-20 @ B.93 W 4-249.2 1477 1400 52.20% 13.62% 34.18%+0.40 +8.7 16
1959-08-22 Odense W 3-264.4 1386 1569 21.87% 13.43% 64.69%-1.02 +9.5 14
1959-08-22 @ Skovshoved L 2-364.4 1569 1386 64.69% 13.43% 21.87%+1.02 -9.5 16
1959-08-23 AB Gladsaxe W 4-041.7 1567 1498 54.27% 13.61% 32.12%+0.45 +20.2 22
1959-08-23 @ B 1909 L 0-441.7 1498 1567 32.12% 13.61% 54.27%-0.45 -20.2 13
1959-08-23 Aarhus GF L 0-349.0 1557 1494 53.46% 13.62% 32.92%+0.41 -24.2 13
1959-08-23 @ Frem W 3-049.0 1494 1557 32.92% 13.62% 53.46%-0.41 +24.2 12
1959-08-23 Esbjerg W 4-046.3 1505 1553 38.10% 13.65% 48.26%-0.23 +28.8 17
1959-08-23 @ KB Copenhagen L 0-446.3 1553 1505 48.26% 13.65% 38.10%+0.23 -28.8 13
1959-08-23 B 1903 W 2-044.5 1571 1477 57.31% 13.58% 29.11%+0.59 +9.7 17
1959-08-23 @ Vejle BK L 0-244.5 1477 1571 29.11% 13.58% 57.31%-0.59 -9.7 11
1959-09-05 KB Copenhagen L 0-540.5 1468 1534 35.52% 13.63% 50.85%-0.34 -27.2 11
1959-09-05 @ B 1903 W 5-040.5 1534 1468 50.85% 13.63% 35.52%+0.34 +27.2 19
1959-09-06 Esbjerg W 3-045.4 1518 1524 43.97% 13.66% 42.38%+0.01 +19.7 14
1959-09-06 @ Aarhus GF L 0-345.4 1524 1518 42.38% 13.66% 43.97%-0.01 -19.7 13
1959-09-06 Vejle BK L 0-342.4 1477 1580 30.83% 13.59% 55.58%-0.56 -14.9 13
1959-09-06 @ AB Gladsaxe W 3-042.4 1580 1477 55.58% 13.59% 30.83%+0.56 +14.9 19
1959-09-06 B.93 W 2-146.1 1532 1391 62.79% 13.50% 23.71%+0.87 +4.0 15
1959-09-06 @ Frem L 1-246.1 1391 1532 23.71% 13.50% 62.79%-0.87 -4.0 4
1959-09-06 Skovshoved L 0-150.5 1485 1395 56.90% 13.59% 29.51%+0.57 -9.4 16
1959-09-06 @ Koge BK W 1-050.5 1395 1485 29.51% 13.59% 56.90%-0.57 +9.4 16
1959-09-06 B 1909 D 2-275.6 1559 1587 40.96% 13.65% 45.38%-0.11 +0.1 17
1959-09-06 @ Odense D 2-275.6 1587 1559 45.38% 13.65% 40.96%+0.11 -0.1 23
1959-09-19 Frem L 2-642.9 1405 1536 27.40% 13.55% 59.06%-0.72 -12.3 16
1959-09-19 @ Skovshoved W 6-242.9 1536 1405 59.06% 13.55% 27.40%+0.72 +12.4 17
1959-09-20 Koge BK W 2-044.4 1587 1476 59.36% 13.56% 27.08%+0.69 +9.1 25
1959-09-20 @ B 1909 L 0-244.4 1476 1587 27.08% 13.56% 59.36%-0.69 -9.1 16
1959-09-20 Aarhus GF L 1-343.6 1387 1538 25.25% 13.51% 61.24%-0.83 -7.4 4
1959-09-20 @ B.93 W 3-143.6 1538 1387 61.24% 13.51% 25.25%+0.83 +7.4 16
1959-09-20 B 1903 L 1-255.9 1505 1440 53.66% 13.62% 32.72%+0.42 -8.4 13
1959-09-20 @ Esbjerg W 2-155.9 1440 1505 32.72% 13.62% 53.66%-0.42 +8.4 13
1959-09-20 AB Gladsaxe L 1-357.1 1561 1462 58.00% 13.57% 28.43%+0.62 -15.6 19
1959-09-20 @ KB Copenhagen W 3-157.1 1462 1561 28.43% 13.57% 58.00%-0.62 +15.6 15
1959-09-20 Odense L 2-463.4 1595 1560 49.85% 13.64% 36.51%+0.25 -12.1 19
1959-09-20 @ Vejle BK W 4-263.4 1560 1595 36.51% 13.64% 49.85%-0.25 +12.1 19
1959-09-26 Frem D 5-580.0 1478 1549 34.99% 13.63% 51.38%-0.37 +0.3 16
1959-09-26 @ AB Gladsaxe D 5-580.0 1549 1478 51.38% 13.63% 34.99%+0.37 -0.3 18
1959-09-27 Skovshoved D 1-161.9 1496 1392 58.58% 13.57% 27.86%+0.65 -1.2 14
1959-09-27 @ Esbjerg D 1-161.9 1392 1496 27.86% 13.57% 58.58%-0.65 +1.2 17
1959-09-27 B.93 D 1-160.1 1449 1380 54.26% 13.61% 32.12%+0.45 -0.9 14
1959-09-27 @ B 1903 D 1-160.1 1380 1449 32.12% 13.61% 54.26%-0.45 +0.9 5
1959-09-27 B 1909 W 2-053.4 1546 1596 37.81% 13.64% 48.54%-0.25 +15.3 21
1959-09-27 @ KB Copenhagen L 0-253.4 1596 1546 48.54% 13.64% 37.81%+0.25 -15.3 25
1959-09-27 Koge BK W 1-047.4 1572 1467 58.68% 13.56% 27.76%+0.66 +4.9 21
1959-09-27 @ Odense L 0-147.4 1467 1572 27.76% 13.56% 58.68%-0.66 -4.9 16
1959-09-27 Aarhus GF W 3-046.4 1583 1545 50.15% 13.64% 36.21%+0.27 +17.2 21
1959-09-27 @ Vejle BK L 0-346.4 1545 1583 36.21% 13.64% 50.15%-0.27 -17.2 16
1959-10-10 B 1903 W 3-039.4 1548 1448 58.18% 13.57% 28.24%+0.63 +13.8 20
1959-10-10 @ Frem L 0-339.4 1448 1548 28.24% 13.57% 58.18%-0.63 -13.8 14
1959-10-11 Odense W 3-265.0 1528 1577 37.99% 13.65% 48.36%-0.24 +7.2 18
1959-10-11 @ Aarhus GF L 2-365.0 1577 1528 48.36% 13.65% 37.99%+0.24 -7.2 21
1959-10-11 Vejle BK L 0-252.5 1580 1600 42.03% 13.66% 44.31%-0.07 -13.5 25
1959-10-11 @ B 1909 W 2-052.5 1600 1580 44.31% 13.66% 42.03%+0.07 +13.5 23
1959-10-11 Esbjerg L 0-434.2 1381 1495 29.42% 13.57% 57.01%-0.62 -18.6 5
1959-10-11 @ B.93 W 4-034.2 1495 1381 57.01% 13.57% 29.42%+0.62 +18.6 16
1959-10-11 AB Gladsaxe L 1-252.4 1462 1478 42.52% 13.66% 43.83%-0.05 -6.8 16
1959-10-11 @ Koge BK W 2-152.4 1478 1462 43.83% 13.66% 42.52%+0.05 +6.8 18
1959-10-11 KB Copenhagen L 1-539.5 1394 1561 23.45% 13.47% 63.08%-0.93 -12.6 17
1959-10-11 @ Skovshoved W 5-139.5 1561 1394 63.08% 13.47% 23.45%+0.93 +12.6 23
1959-10-24 B.93 W 2-144.5 1574 1362 69.57% 13.31% 17.12%+1.28 +3.0 25
1959-10-24 @ KB Copenhagen L 1-244.5 1362 1574 17.12% 13.31% 69.57%-1.28 -3.0 5
1959-10-25 Odense L 0-149.6 1485 1569 33.22% 13.62% 53.16%-0.45 -5.8 18
1959-10-25 @ AB Gladsaxe W 1-049.6 1569 1485 53.16% 13.62% 33.22%+0.45 +5.8 23
1959-10-25 Aarhus GF W 4-365.1 1567 1535 49.31% 13.65% 37.05%+0.23 +5.6 27
1959-10-25 @ B 1909 L 3-465.1 1535 1567 37.05% 13.65% 49.31%-0.23 -5.6 18
1959-10-25 Frem W 3-156.1 1514 1562 38.01% 13.65% 48.35%-0.24 +13.2 18
1959-10-25 @ Esbjerg L 1-356.1 1562 1514 48.35% 13.65% 38.01%+0.24 -13.2 20
1959-10-25 Koge BK W 3-256.1 1434 1455 41.85% 13.66% 44.49%-0.08 +6.7 16
1959-10-25 @ B 1903 L 2-356.1 1455 1434 44.49% 13.66% 41.85%+0.08 -6.7 16
1959-10-25 Skovshoved L 1-654.5 1614 1381 71.28% 13.24% 15.48%+1.41 -42.9 23
1959-10-25 @ Vejle BK W 6-154.5 1381 1614 15.48% 13.24% 71.28%-1.41 +42.9 19
1959-11-01 AB Gladsaxe L 1-451.9 1530 1479 51.82% 13.63% 34.55%+0.34 -19.9 18
1959-11-01 @ Aarhus GF W 4-151.9 1479 1530 34.55% 13.63% 51.82%-0.34 +19.9 20
1959-11-01 Vejle BK L 2-446.4 1359 1571 19.15% 13.36% 67.49%-1.19 -5.1 5
1959-11-01 @ B.93 W 4-246.4 1571 1359 67.49% 13.36% 19.15%+1.19 +5.1 25
1959-11-01 KB Copenhagen L 1-452.6 1549 1577 40.90% 13.65% 45.44%-0.12 -16.1 20
1959-11-01 @ Frem W 4-152.6 1577 1549 45.44% 13.65% 40.90%+0.12 +16.1 27
1959-11-01 Esbjerg L 1-543.4 1448 1527 33.96% 13.62% 52.42%-0.41 -17.7 16
1959-11-01 @ Koge BK W 5-143.4 1527 1448 52.42% 13.62% 33.96%+0.41 +17.6 20
1959-11-01 B 1903 W 5-142.1 1575 1441 62.05% 13.51% 24.44%+0.83 +13.1 25
1959-11-01 @ Odense L 1-542.1 1441 1575 24.44% 13.51% 62.05%-0.83 -13.1 16
1959-11-01 B 1909 L 0-145.1 1424 1573 25.47% 13.51% 61.02%-0.82 -4.6 19
1959-11-01 @ Skovshoved W 1-045.1 1573 1424 61.02% 13.51% 25.47%+0.82 +4.6 29
1959-11-08 B.93 W 5-241.8 1577 1354 70.52% 13.27% 16.21%+1.35 +6.0 31
1959-11-08 @ B 1909 L 2-541.8 1354 1577 16.21% 13.27% 70.52%-1.35 -6.0 5
1959-11-08 Skovshoved D 1-158.8 1348 1419 34.89% 13.63% 51.49%-0.37 +0.6 6
1959-11-08 @ B.93 D 1-158.8 1419 1348 51.49% 13.63% 34.89%+0.37 -0.6 20
1959-11-08 Odense L 2-362.9 1545 1588 38.67% 13.65% 47.69%-0.21 -5.9 20
1959-11-08 @ Esbjerg W 3-262.9 1588 1545 47.69% 13.65% 38.67%+0.21 +5.9 27
1959-11-08 AB Gladsaxe W 4-042.5 1428 1499 34.88% 13.63% 51.49%-0.37 +30.6 18
1959-11-08 @ B 1903 L 0-442.5 1499 1428 51.49% 13.63% 34.88%+0.37 -30.6 20
1959-11-08 Koge BK W 2-041.3 1593 1431 64.96% 13.45% 21.59%+0.99 +7.4 29
1959-11-08 @ KB Copenhagen L 0-241.3 1431 1593 21.59% 13.45% 64.96%-0.99 -7.4 16
1959-11-08 Aarhus GF L 2-353.8 1419 1510 32.33% 13.61% 54.06%-0.49 -5.1 20
1959-11-08 @ Skovshoved W 3-253.8 1510 1419 54.06% 13.61% 32.33%+0.49 +5.1 20
1959-11-08 Frem W 3-153.3 1576 1533 50.85% 13.64% 35.51%+0.30 +10.1 27
1959-11-08 @ Vejle BK L 1-353.3 1533 1576 35.51% 13.64% 50.85%-0.30 -10.1 20
1959-11-22 B 1903 W 2-043.1 1515 1458 52.65% 13.63% 33.72%+0.38 +11.1 22
1959-11-22 @ Aarhus GF L 0-243.1 1458 1515 33.72% 13.63% 52.65%-0.38 -11.1 18
1959-11-22 Esbjerg D 3-375.3 1469 1539 35.08% 13.63% 51.29%-0.36 +0.4 21
1959-11-22 @ AB Gladsaxe D 3-375.3 1539 1469 51.29% 13.63% 35.08%+0.36 -0.4 21
1959-11-22 B 1909 L 1-353.5 1523 1583 36.39% 13.64% 49.97%-0.31 -10.3 20
1959-11-22 @ Frem W 3-153.5 1583 1523 49.97% 13.64% 36.39%+0.31 +10.3 33
1959-11-22 Vejle BK L 3-457.9 1423 1586 23.96% 13.48% 62.56%-0.90 -3.8 16
1959-11-22 @ Koge BK W 4-357.9 1586 1423 62.56% 13.48% 23.96%+0.90 +3.8 29
1959-11-22 KB Copenhagen L 1-261.3 1594 1600 44.01% 13.66% 42.33%+0.01 -7.0 27
1959-11-22 @ Odense W 2-161.3 1600 1594 42.33% 13.66% 44.01%-0.01 +7.0 31

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 1959-10-25 15.48% Skovshoved 1381 6 @ Vejle BK 1614 1
2 1959-05-17 21.04% Skovshoved 1391 2 @ Odense 1558 1
3 1959-08-22 21.87% @ Skovshoved 1386 3 Odense 1569 2
4 1959-05-31 25.84% @ B.93 1397 2 Frem 1543 0
5 1959-03-15 26.03% Koge BK 1454 2 @ Vejle BK 1574 0
6 1959-05-31 27.25% AB Gladsaxe 1477 3 @ Vejle BK 1587 2
7 1959-09-20 28.43% AB Gladsaxe 1462 3 @ KB Copenhagen 1561 1
8 1959-05-17 29.17% KB Copenhagen 1487 2 @ Esbjerg 1580 0
9 1959-09-06 29.51% Skovshoved 1395 1 @ Koge BK 1485 0
10 1959-06-07 30.20% @ Koge BK 1463 2 B 1909 1572 0
11 1959-08-09 31.47% @ Skovshoved 1394 2 B 1903 1491 1
12 1959-09-20 32.72% B 1903 1440 2 @ Esbjerg 1505 1
13 1959-08-23 32.92% Aarhus GF 1494 3 @ Frem 1557 0
14 1959-05-03 33.39% @ Koge BK 1454 2 Aarhus GF 1537 1
15 1959-05-10 33.76% KB Copenhagen 1473 3 @ Aarhus GF 1529 1
16 1959-03-29 33.80% @ B 1903 1435 4 Odense 1514 2
17 1959-05-30 34.20% @ Skovshoved 1401 3 Koge BK 1478 1
18 1959-11-01 34.55% AB Gladsaxe 1479 4 @ Aarhus GF 1530 1
19 1959-04-19 34.57% Skovshoved 1448 2 @ KB Copenhagen 1498 0
20 1959-03-21 34.79% B 1903 1426 1 @ AB Gladsaxe 1475 0
21 1959-08-09 34.86% Koge BK 1481 3 @ Aarhus GF 1529 1
22 1959-11-08 34.88% @ B 1903 1428 4 AB Gladsaxe 1499 0
23 1959-05-31 36.07% B 1903 1466 5 @ KB Copenhagen 1505 1
24 1959-03-15 36.36% @ KB Copenhagen 1488 1 Odense 1549 0
25 1959-09-20 36.51% Odense 1560 4 @ Vejle BK 1595 2

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 1959-05-03 45.18 @ B 1903 7 1435 42.17% Skovshoved 0 1454 44.17% 13.66%
2 1959-10-25 42.86 Skovshoved 6 1381 15.48% @ Vejle BK 1 1614 71.28% 13.24%
3 1959-11-08 30.59 @ B 1903 4 1428 34.88% AB Gladsaxe 0 1499 51.49% 13.63%
4 1959-08-23 28.83 @ KB Copenhagen 4 1505 38.10% Esbjerg 0 1553 48.26% 13.65%
5 1959-09-05 27.17 KB Copenhagen 5 1534 50.85% @ B 1903 0 1468 35.52% 13.63%
6 1959-03-22 25.88 Esbjerg 4 1556 43.67% @ Odense 0 1540 42.67% 13.66%
7 1959-05-31 24.95 B 1903 5 1466 36.07% @ KB Copenhagen 1 1505 50.29% 13.64%
8 1959-08-23 24.24 Aarhus GF 3 1494 32.92% @ Frem 0 1557 53.46% 13.62%
9 1959-06-07 21.46 @ Frem 5 1524 59.16% Skovshoved 0 1415 27.28% 13.56%
10 1959-08-16 21.09 @ KB Copenhagen 3 1484 40.50% Aarhus GF 0 1515 45.84% 13.65%
11 1959-08-23 20.16 @ B 1909 4 1567 54.27% AB Gladsaxe 0 1498 32.12% 13.61%
12 1959-06-04 19.94 @ Odense 6 1538 39.26% Vejle BK 2 1578 47.09% 13.65%
13 1959-11-01 19.86 AB Gladsaxe 4 1479 34.55% @ Aarhus GF 1 1530 51.82% 13.63%
14 1959-05-10 19.70 Odense 4 1539 55.11% @ B.93 0 1440 31.30% 13.60%
15 1959-09-06 19.69 @ Aarhus GF 3 1518 43.97% Esbjerg 0 1524 42.38% 13.66%
16 1959-03-30 19.39 @ Vejle BK 4 1543 55.67% B.93 0 1463 30.73% 13.60%
17 1959-05-31 18.82 @ B.93 2 1397 25.84% Frem 0 1543 60.64% 13.52%
18 1959-03-15 18.76 Koge BK 2 1454 26.03% @ Vejle BK 0 1574 60.43% 13.54%
19 1959-03-30 18.69 Frem 3 1545 46.44% @ KB Copenhagen 0 1510 39.91% 13.65%
20 1959-10-11 18.63 Esbjerg 4 1495 57.01% @ B.93 0 1381 29.42% 13.57%
21 1959-08-16 18.19 Frem 3 1538 47.66% @ Koge BK 0 1495 38.69% 13.65%
22 1959-05-09 17.96 AB Gladsaxe 3 1456 48.22% @ Skovshoved 0 1409 38.13% 13.65%
23 1959-05-17 17.81 KB Copenhagen 2 1487 29.17% @ Esbjerg 0 1580 57.25% 13.58%
24 1959-11-01 17.65 Esbjerg 5 1527 52.42% @ Koge BK 1 1448 33.96% 13.62%
25 1959-06-07 17.49 @ Koge BK 2 1463 30.20% B 1909 0 1572 56.21% 13.58%

Most & Least Exciting Games

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

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 1959-09-26 80.0 @ AB Gladsaxe 5 1478 34.99% Frem 5 1549 51.38% 13.63%
2 1959-04-26 76.0 @ Frem 3 1569 59.72% AB Gladsaxe 3 1455 26.73% 13.55%
3 1959-09-06 75.6 @ Odense 2 1559 40.96% B 1909 2 1587 45.38% 13.65%
4 1959-11-22 75.3 @ AB Gladsaxe 3 1469 35.08% Esbjerg 3 1539 51.29% 13.63%
5 1959-05-03 70.5 @ Esbjerg 1 1587 50.05% B 1909 1 1550 36.31% 13.64%
6 1959-04-05 69.2 @ Aarhus GF 1 1552 46.09% B 1909 1 1544 40.25% 13.66%
7 1959-06-07 68.0 @ B 1903 1 1491 34.13% Esbjerg 1 1568 52.25% 13.62%
8 1959-04-26 67.0 @ B 1909 1 1551 54.33% KB Copenhagen 1 1481 32.06% 13.61%
9 1959-05-31 66.8 AB Gladsaxe 3 1477 27.25% @ Vejle BK 2 1587 59.19% 13.56%
10 1959-05-10 66.5 @ Frem 1 1557 57.39% Koge BK 1 1463 29.03% 13.58%
11 1959-04-18 66.2 @ B 1903 1 1441 27.68% Frem 1 1570 58.77% 13.55%
12 1959-03-29 65.4 @ B 1909 1 1545 58.08% Skovshoved 1 1445 28.34% 13.57%
13 1959-10-25 65.1 @ B 1909 4 1567 49.31% Aarhus GF 3 1535 37.05% 13.65%
14 1959-10-11 65.0 @ Aarhus GF 3 1528 37.99% Odense 2 1577 48.36% 13.65%
15 1959-03-15 64.6 @ B 1903 1 1425 29.01% Aarhus GF 1 1543 57.42% 13.57%
16 1959-04-19 64.6 B 1909 3 1544 39.10% @ Vejle BK 2 1561 47.25% 13.65%
17 1959-08-22 64.4 @ Skovshoved 3 1386 21.87% Odense 2 1569 64.69% 13.43%
18 1959-03-29 64.1 @ Esbjerg 0 1582 60.71% Koge BK 0 1459 25.75% 13.53%
19 1959-09-20 63.4 Odense 4 1560 36.51% @ Vejle BK 2 1595 49.85% 13.64%
20 1959-11-08 62.9 Odense 3 1588 47.69% @ Esbjerg 2 1545 38.67% 13.65%
21 1959-04-05 62.8 @ Skovshoved 0 1446 29.28% Vejle BK 0 1562 57.15% 13.57%
22 1959-09-27 61.9 @ Esbjerg 1 1496 58.58% Skovshoved 1 1392 27.86% 13.57%
23 1959-11-22 61.3 KB Copenhagen 2 1600 42.33% @ Odense 1 1594 44.01% 13.66%
24 1959-05-03 60.9 @ Odense 4 1527 39.03% Frem 2 1568 47.32% 13.65%
25 1959-04-19 60.6 @ AB Gladsaxe 4 1449 42.25% Koge BK 3 1467 44.10% 13.66%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 1959-10-11 34.2 Esbjerg 4 1495 57.01% @ B.93 0 1381 29.42% 13.57%
2 1959-06-07 35.7 @ Frem 5 1524 59.16% Skovshoved 0 1415 27.28% 13.56%
3 1959-05-09 37.8 AB Gladsaxe 3 1456 48.22% @ Skovshoved 0 1409 38.13% 13.65%
4 1959-05-10 38.3 Odense 4 1539 55.11% @ B.93 0 1440 31.30% 13.60%
5 1959-03-30 39.1 @ Vejle BK 4 1543 55.67% B.93 0 1463 30.73% 13.60%
6 1959-08-15 39.3 @ AB Gladsaxe 5 1481 55.56% Skovshoved 1 1402 30.84% 13.60%
7 1959-10-10 39.4 @ Frem 3 1548 58.18% B 1903 0 1448 28.24% 13.57%
8 1959-10-11 39.5 KB Copenhagen 5 1561 63.08% @ Skovshoved 1 1394 23.45% 13.47%
9 1959-09-05 40.5 KB Copenhagen 5 1534 50.85% @ B 1903 0 1468 35.52% 13.63%
10 1959-05-03 40.8 @ B 1903 7 1435 42.17% Skovshoved 0 1454 44.17% 13.66%
11 1959-11-08 41.3 @ KB Copenhagen 2 1593 64.96% Koge BK 0 1431 21.59% 13.45%
12 1959-08-23 41.7 @ B 1909 4 1567 54.27% AB Gladsaxe 0 1498 32.12% 13.61%
13 1959-11-08 41.8 @ B 1909 5 1577 70.52% B.93 2 1354 16.21% 13.27%
14 1959-05-17 41.9 @ Koge BK 4 1464 52.14% B.93 1 1411 34.23% 13.63%
15 1959-11-01 42.1 @ Odense 5 1575 62.05% B 1903 1 1441 24.44% 13.51%
16 1959-09-06 42.4 Vejle BK 3 1580 55.58% @ AB Gladsaxe 0 1477 30.83% 13.59%
17 1959-11-08 42.5 @ B 1903 4 1428 34.88% AB Gladsaxe 0 1499 51.49% 13.63%
18 1959-09-19 42.9 Frem 6 1536 59.06% @ Skovshoved 2 1405 27.40% 13.55%
19 1959-11-22 43.1 @ Aarhus GF 2 1515 52.65% B 1903 0 1458 33.72% 13.63%
20 1959-04-05 43.3 @ Odense 2 1502 50.59% AB Gladsaxe 0 1461 35.77% 13.64%
21 1959-11-01 43.4 Esbjerg 5 1527 52.42% @ Koge BK 1 1448 33.96% 13.62%
22 1959-09-20 43.6 Aarhus GF 3 1538 61.24% @ B.93 1 1387 25.25% 13.51%
23 1959-08-16 43.9 Frem 3 1538 47.66% @ Koge BK 0 1495 38.69% 13.65%
24 1959-04-26 44.4 Esbjerg 2 1577 56.90% @ Skovshoved 0 1464 29.52% 13.58%
25 1959-09-20 44.4 @ B 1909 2 1587 59.36% Koge BK 0 1476 27.08% 13.56%