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1956-57 1st Division Season

135 games

Final

Champion

Aarhus GF

39 points · 3rd Title

Last Title: 1955-56

Relegated

B 1903

17 pts

Biggest Overachiever

Aarhus GF

5.59 points above expected

39 points · 33.41 expected points

Biggest Disappointment

B 1903

7.13 points below expected

17 points · 24.13 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 Aarhus GF Champion 27 17 5 5 39 55 31 +24 33.41 +5.59
2 AB Gladsaxe 27 16 5 6 37 68 42 +26 32.89 +4.11
3 Frem 27 13 6 8 32 61 44 +17 28.62 +3.38
4 Skovshoved 27 13 4 10 30 51 42 +9 26.77 +3.23
5 KB Copenhagen 27 9 9 9 27 40 48 -8 24.54 +2.46
6 Vejle BK 27 9 7 11 25 49 54 -5 26.47 -1.47
7 Esbjerg 27 10 5 12 25 48 53 -5 26.47 -1.47
8 B 1909 27 8 4 15 20 40 51 -11 25.03 -5.03
9 AIA Tranbjerg 27 7 4 16 18 34 62 -28 21.67 -3.67
10 B 1903 Relegated 27 5 7 15 17 39 58 -19 24.13 -7.13

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 Aarhus GF 39 33.41 +5.59
2 AB Gladsaxe 37 32.89 +4.11
3 Frem 32 28.62 +3.38
4 Skovshoved 30 26.77 +3.23
5 KB Copenhagen 27 24.54 +2.46

Biggest Disappointments

# Team Actual Sim vsSim
1 B 1903 17 24.13 -7.13
2 B 1909 20 25.03 -5.03
3 AIA Tranbjerg 18 21.67 -3.67
4 Vejle BK 25 26.47 -1.47
5 Esbjerg 25 26.47 -1.47

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 AB Gladsaxe 7 Aug 18 – Sep 23 1 in 217
2 Frem 5 Jan 28 – Apr 13 1 in 93
3 KB Copenhagen 3 Nov 10 – Nov 17 1 in 42
4 Esbjerg 3 May 30 – Jun 9 1 in 41
5 Aarhus GF 5 Aug 18 – Sep 8 1 in 40

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Esbjerg 6 Jan 20 – Apr 7 1 in 1,214
2 B 1903 5 Nov 10 – Jan 14 1 in 95
3 B 1909 4 Aug 25 – Sep 9 1 in 46
4 AIA Tranbjerg 5 Nov 10 – Jan 14 1 in 26
5 Skovshoved 3 Sep 8 – Sep 14 1 in 12

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Frem 11 Jan 26 – Jun 9 1 in 77
2 AB Gladsaxe 8 Aug 18 – Sep 29 1 in 21
3 AIA Tranbjerg 3 Apr 21 – May 19 1 in 17
4 B 1909 5 Jan 27 – Apr 14 1 in 14
5 Esbjerg 4 May 19 – Jun 9 1 in 13

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Esbjerg 10 Jan 14 – May 19 1 in 142
2 B 1903 10 Nov 10 – Mar 24 1 in 42
3 Frem 6 Nov 17 – Jan 26 1 in 22
4 KB Copenhagen 6 Jan 28 – May 12 1 in 14
5 B 1909 6 Aug 25 – Sep 23 1 in 12

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
Aarhus GF 1562 39 -5 6 6.9 -0.9
AB Gladsaxe 1524 37 -11 6 6.4 -0.4
Frem 1515 32 +11 7 6.2 +0.8
Skovshoved 1481 30 -3 4 5.1 -1.1
KB Copenhagen 1394 27 -17 5 4.6 +0.4
Esbjerg 1440 25 +37 7 4.1 +2.9
Vejle BK 1423 25 -3 4 4.6 -0.6
B 1909 1416 20 -9 3 4.8 -1.8
AIA Tranbjerg 1360 18 +36 6 3.4 +2.6
B 1903 1363 17 -38 2 4.2 -2.2

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 AT AG B1 B1 ESB FRE KC SKO VB
AB Gladsaxe —
3-0-0
5.64
1-1-1
4.15
1-1-1
5.38
2-1-0
5.26
1-1-1
5.47
2-0-1
4.57
0-1-2
5.87
3-0-0
4.66
3-0-0
5.05
AIA Tranbjerg
0-0-3
2.72
—
1-0-2
2.44
2-0-1
3.65
0-0-3
4.18
3-0-0
3.24
0-1-2
2.85
1-0-2
3.96
0-1-2
2.92
0-2-1
3.59
Aarhus GF
1-1-1
4.19
2-0-1
5.95
—
3-0-0
5.96
2-0-1
5.64
2-1-0
4.87
2-1-0
5.07
1-2-0
5.43
2-0-1
5.39
2-0-1
4.96
B 1903
1-1-1
2.97
1-0-2
4.70
0-0-3
2.41
—
1-0-2
3.87
1-0-2
4.09
0-1-2
3.14
0-2-1
4.60
1-1-1
3.85
0-2-1
3.46
B 1909
0-1-2
3.10
3-0-0
4.16
1-0-2
2.71
2-0-1
4.48
—
1-0-2
3.70
0-0-3
3.95
0-2-1
3.99
1-0-2
4.06
0-1-2
4.36
Esbjerg
1-1-1
2.88
0-0-3
5.11
0-1-2
3.48
2-0-1
4.26
2-0-1
4.65
—
1-2-0
4.03
3-0-0
4.24
0-1-2
4.45
1-0-2
4.05
Frem
1-0-2
3.78
2-1-0
5.51
0-1-2
3.27
2-1-0
5.21
3-0-0
4.40
0-2-1
4.31
—
1-1-1
4.50
2-0-1
3.99
2-0-1
4.83
KB Copenhagen
2-1-0
2.49
2-0-1
4.39
0-2-1
2.93
1-2-0
3.75
1-2-0
4.35
0-0-3
4.10
1-1-1
3.85
—
1-0-2
4.08
1-1-1
3.44
Skovshoved
0-0-3
3.68
2-1-0
5.44
1-0-2
2.96
1-1-1
4.50
2-0-1
4.28
2-1-0
3.91
1-0-2
4.35
2-0-1
4.27
—
2-1-0
4.80
Vejle BK
0-0-3
3.29
1-2-0
4.75
1-0-2
3.38
1-2-0
4.89
2-1-0
3.98
2-0-1
4.29
1-0-2
3.51
1-1-1
4.91
0-1-2
3.54
—

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 0.74 +6.1
Allowed 0.85 -7.7
Differential 0.93 +4.0

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
05.93%4.81%4.81%2.22%1.11%1.85%20.74%
14.81%8.89%5.93%4.81%3.33%1.48%29.26%
24.81%5.93%4.44%4.07%1.85%1.48%22.59%
32.22%4.81%4.07%1.48%0.74%0.74%14.07%
41.11%3.33%1.85%0.74%—0.37%7.41%
5+1.85%1.48%1.48%0.74%0.37%—5.93%
Total20.74%29.26%22.59%14.07%7.41%5.93%100%

Summary Statistics

Scored Allowed Difference
Mean 1.80 1.80 +0.00
SD 1.53 1.53 2.24
CV 0.85 0.85 —
Max 7 7 +6
Min 0 0 -6

Games Played: 135

↓ Scored | Allowed →012345+Total
07.41%3.70%3.70%———14.81%
13.70%7.41%3.70%3.70%——18.52%
2—11.11%3.70%—3.70%—18.52%
3—7.41%7.41%—3.70%—18.52%
47.41%3.70%3.70%3.70%——18.52%
5+—3.70%—7.41%——11.11%
Total18.52%37.04%22.22%14.81%7.41%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.52 1.56 +0.96
SD 1.85 1.19 1.91
CV 0.73 0.76 —
Max 7 4 +5
Min 0 0 -2

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%7.41%3.70%3.70%3.70%3.70%29.63%
17.41%7.41%7.41%3.70%7.41%7.41%40.74%
2—3.70%—7.41%3.70%—14.81%
33.70%—3.70%———7.41%
4——3.70%———3.70%
5+3.70%—————3.70%
Total22.22%18.52%18.52%14.81%14.81%11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.26 2.30 -1.04
SD 1.29 2.00 2.56
CV 1.02 0.87 —
Max 5 7 +5
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%7.41%3.70%———14.81%
111.11%3.70%————14.81%
27.41%18.52%11.11%7.41%——44.44%
3—7.41%7.41%———14.81%
4—3.70%————3.70%
5+3.70%—3.70%———7.41%
Total25.93%40.74%25.93%7.41%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.04 1.15 +0.89
SD 1.43 0.91 1.60
CV 0.70 0.79 —
Max 6 3 +6
Min 0 0 -2

Games Played: 27

↓ Scored | Allowed →012345+Total
0—3.70%11.11%3.70%—3.70%22.22%
1—14.81%11.11%11.11%3.70%—40.74%
2—3.70%7.41%3.70%—3.70%18.52%
33.70%3.70%3.70%3.70%——14.81%
4———————
5+3.70%—————3.70%
Total7.41%25.93%33.33%22.22%3.70%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.44 2.15 -0.70
SD 1.34 1.38 2.23
CV 0.93 0.64 —
Max 6 6 +6
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%14.81%7.41%3.70%—3.70%37.04%
17.41%7.41%—3.70%7.41%—25.93%
2—7.41%—3.70%3.70%3.70%18.52%
33.70%—————3.70%
4——3.70%——3.70%7.41%
5+7.41%—————7.41%
Total25.93%29.63%11.11%11.11%11.11%11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 1.89 -0.41
SD 1.76 1.80 2.62
CV 1.19 0.96 —
Max 6 6 +6
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%—3.70%3.70%——11.11%
17.41%3.70%7.41%14.81%—3.70%37.04%
211.11%3.70%7.41%3.70%3.70%3.70%33.33%
33.70%——3.70%——7.41%
4—3.70%————3.70%
5+——7.41%———7.41%
Total25.93%11.11%25.93%25.93%3.70%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.78 1.96 -0.19
SD 1.31 1.60 2.15
CV 0.74 0.82 —
Max 5 6 +3
Min 0 0 -5

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%—————3.70%
17.41%7.41%14.81%—3.70%—33.33%
23.70%3.70%3.70%7.41%—3.70%22.22%
33.70%11.11%3.70%7.41%——25.93%
4—7.41%3.70%———11.11%
5+—3.70%————3.70%
Total18.52%33.33%25.93%14.81%3.70%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 2.26 1.63 +0.63
SD 1.46 1.28 1.96
CV 0.64 0.78 —
Max 7 5 +6
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
014.81%—7.41%3.70%—7.41%33.33%
1—11.11%—7.41%7.41%—25.93%
211.11%—7.41%———18.52%
3—3.70%3.70%———7.41%
43.70%—3.70%3.70%——11.11%
5+—3.70%————3.70%
Total29.63%18.52%22.22%14.81%7.41%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 1.78 -0.30
SD 1.50 1.67 2.45
CV 1.01 0.94 —
Max 5 6 +4
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%7.41%————11.11%
13.70%11.11%11.11%—3.70%3.70%33.33%
214.81%3.70%—7.41%——25.93%
33.70%7.41%3.70%——3.70%18.52%
4—7.41%————7.41%
5+——3.70%———3.70%
Total25.93%37.04%18.52%7.41%3.70%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.89 1.56 +0.33
SD 1.28 1.67 2.04
CV 0.68 1.07 —
Max 5 7 +3
Min 0 0 -4

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%3.70%7.41%3.70%7.41%—29.63%
1—14.81%3.70%3.70%——22.22%
2—3.70%3.70%—3.70%—11.11%
3—7.41%7.41%—3.70%3.70%22.22%
4—7.41%————7.41%
5+—3.70%——3.70%—7.41%
Total7.41%40.74%22.22%7.41%18.52%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 1.81 2.00 -0.19
SD 1.71 1.39 2.13
CV 0.94 0.69 —
Max 6 5 +5
Min 0 0 -4

Games Played: 27

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
Aarhus GF 1562 39 33.41 +5.59 92.0% 22 24 31 34 36 40 43
AB Gladsaxe 1524 37 32.89 +4.11 85.0% 18 25 30 33 36 40 42
Frem 1515 32 28.62 +3.38 85.0% 20 22 25 29 31 35 36
Skovshoved 1481 30 26.77 +3.23 81.0% 15 20 24 27 30 34 37
Esbjerg 1440 25 26.47 -1.47 38.0% 17 19 23 27 29 34 38
Vejle BK 1423 25 26.47 -1.47 42.0% 15 20 24 27 29 33 35
B 1909 1416 20 25.03 -5.03 14.0% 10 17 22 25 28 32 35
KB Copenhagen 1394 27 24.54 +2.46 73.0% 15 16 22 25 28 31 33
B 1903 1363 17 24.13 -7.13 6.0% 15 17 22 24 27 31 31
AIA Tranbjerg 1360 18 21.67 -3.67 23.0% 11 15 19 21 25 28 32

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
+12.59%
Clear Edge
45.93%20.74%33.33%
Elo Value
Home Edge
147 Elo
0.007 goals per Elo point
043.98400
Scoring Tilt
Expected
+0.47 goals
Neutral
-2+0.30+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 5th * Longshot: 6th 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
2.7
One-Team Race
134610
Champion Preseason Odds
45%
Aarhus GF, 1st of 10
LongshotFavorite
Title Margin
Expected
0.07/gm
Tight Race
00.130.5/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 3.41 * Some Luck: 3.41 to 5.12 * Lucky: 5.12 to 6.82 * Wild Swing: 6.82 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 1.55 * Close: 1.55 to 2.32 * Off: 2.32 to 3.09 * Way Off: 3.09 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 10 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 10 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 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 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 * A Surprise: 1 to 1.6 * Several Surprises: 1.6 to 2.2 * Many Surprises: 2.2 and up.
Luck Spread
Expected
4.12 points
Some Luck
04.2611
Average Finish Error
Expected
0.80
Pinpoint
01.934
Biggest Overachiever
Expected 95.00%
92.00%
Aarhus GF
50100
Biggest Underachiever
Expected 5.00%
6.00%
B 1903
050
Season Outliers
Expected
0 of 10
Minimal Outliers
01.010
Unexpected Relegations
Expected 1.0
1 of 1
A Surprise
01

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
0.15
Top-Heavy
00.120.5
Noll-Scully
Elo SD: 69.78
1.64
Strong Separation
0.651.351.61.92.5
Interquartile Edge
65%
Clear Edge
50%59%69%100%
Best vs. Worst
Baseline
76%
Even
50%79%100%
Close Games
Expected
53%
Few
0%50%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
0.61
Predictable
00.612
Matchup Imbalance
0.28
Very Even
00.280.370.5
Strangeness
Expected
0.99
As Expected
01.002
Repeatability
0.50
Strong Carryover
00.30.50.631
Upset Rate
Expected
30%
Upset-Prone
0%28%50%
Clear Favorite Upset Rate
Expected
20%
Solid Favorites
0%25%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 0.13 * Near Noise Ceiling: 0.13 to 0.2 * Above Noise: 0.2 to 0.27 * Well Above Noise: 0.27 and up.
Probability calibration
0.27
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.15
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.097
Well Within Noise
00.1330.3

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).

Team12345678910
Aarhus GF45.00%28.00%10.00%5.00%2.00%4.00%3.00%1.00%1.00%1.00%
AB Gladsaxe40.00%24.00%17.00%8.00%4.00%2.00%2.00%1.00%1.00%1.00%
Frem5.00%13.00%26.00%13.00%10.00%11.00%8.00%10.00%3.00%1.00%
Skovshoved2.00%12.00%10.00%17.00%14.00%11.00%7.00%12.00%11.00%4.00%
KB Copenhagen—2.00%5.00%13.00%9.00%16.00%11.00%11.00%21.00%12.00%
Vejle BK1.00%5.00%11.00%13.00%20.00%12.00%13.00%9.00%12.00%4.00%
Esbjerg3.00%8.00%9.00%13.00%16.00%12.00%10.00%12.00%8.00%9.00%
B 19093.00%5.00%6.00%11.00%7.00%12.00%21.00%13.00%11.00%11.00%
AIA Tranbjerg1.00%—1.00%2.00%7.00%8.00%11.00%13.00%14.00%43.00%
B 1903—3.00%5.00%5.00%11.00%12.00%14.00%18.00%18.00%14.00%

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 Qualified for relegation playoff
AB Gladsaxe 99.00% 1.00%
AIA Tranbjerg 57.00% 43.00%
Aarhus GF 99.00% 1.00%
B 1903 86.00% 14.00%
B 1909 89.00% 11.00%
Esbjerg 91.00% 9.00%
Frem 99.00% 1.00%
KB Copenhagen 88.00% 12.00%
Skovshoved 96.00% 4.00%
Vejle BK 96.00% 4.00%

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
1956-08-18 B 1909 W 3-253.2 1501 1444 54.93% 21.63% 23.43%+0.69 +3.6 2
1956-08-18 @ Aarhus GF L 2-353.2 1444 1501 23.43% 21.63% 54.93%-0.69 -3.6 0
1956-08-18 B 1903 W 3-145.1 1457 1432 51.23% 21.83% 26.94%+0.47 +7.4 2
1956-08-18 @ AB Gladsaxe L 1-345.1 1432 1457 26.94% 21.83% 51.23%-0.47 -7.4 0
1956-08-18 Frem W 5-247.2 1461 1446 49.87% 21.88% 28.25%+0.40 +9.5 2
1956-08-18 @ Esbjerg L 2-547.2 1446 1461 28.25% 21.88% 49.87%-0.40 -9.5 0
1956-08-18 Skovshoved W 5-141.8 1408 1436 44.26% 22.00% 33.74%+0.11 +16.3 2
1956-08-18 @ KB Copenhagen L 1-541.8 1436 1408 33.74% 22.00% 44.26%-0.11 -16.3 0
1956-08-18 AIA Tranbjerg D 0-055.5 1451 1443 49.06% 21.91% 29.03%+0.35 -0.7 1
1956-08-18 @ Vejle BK D 0-055.5 1443 1451 29.03% 21.91% 49.06%-0.35 +0.7 1
1956-08-19 Vejle BK W 2-041.7 1504 1451 54.56% 21.66% 23.79%+0.66 +7.7 4
1956-08-19 @ Aarhus GF L 0-241.7 1451 1504 23.79% 21.66% 54.56%-0.66 -7.7 1
1956-08-19 Frem W 4-143.0 1465 1437 51.54% 21.82% 26.65%+0.49 +10.4 4
1956-08-19 @ AB Gladsaxe L 1-443.0 1437 1465 26.65% 21.82% 51.54%-0.49 -10.4 0
1956-08-19 AIA Tranbjerg W 4-250.3 1440 1444 47.51% 21.95% 30.54%+0.27 +7.4 2
1956-08-19 @ B 1909 L 2-450.3 1444 1440 30.54% 21.95% 47.51%-0.27 -7.3 1
1956-08-19 Skovshoved L 2-554.3 1470 1420 54.18% 21.68% 24.14%+0.64 -16.2 2
1956-08-19 @ Esbjerg W 5-254.3 1420 1470 24.14% 21.68% 54.18%-0.64 +16.2 2
1956-08-19 KB Copenhagen D 1-157.5 1424 1424 48.10% 21.93% 29.97%+0.30 -0.6 1
1956-08-19 @ B 1903 D 1-157.5 1424 1424 29.97% 21.93% 48.10%-0.30 +0.6 3
1956-08-25 Skovshoved W 1-043.9 1512 1436 57.02% 21.48% 21.50%+0.82 +3.8 6
1956-08-25 @ Aarhus GF L 0-143.9 1436 1512 21.50% 21.48% 57.02%-0.82 -3.7 2
1956-08-25 Vejle BK L 1-449.3 1447 1443 48.61% 21.92% 29.47%+0.33 -16.9 2
1956-08-25 @ B 1909 W 4-149.3 1443 1447 29.47% 21.92% 48.61%-0.33 +17.0 3
1956-08-25 AIA Tranbjerg L 0-148.7 1424 1437 46.36% 21.97% 31.67%+0.21 -7.1 1
1956-08-25 @ B 1903 W 1-048.7 1437 1424 31.67% 21.97% 46.36%-0.21 +7.0 3
1956-08-25 KB Copenhagen D 1-157.5 1426 1425 48.27% 21.93% 29.80%+0.31 -0.6 1
1956-08-25 @ Frem D 1-157.5 1425 1426 29.80% 21.93% 48.27%-0.31 +0.6 4
1956-08-25 Esbjerg L 0-245.4 1425 1454 44.20% 22.00% 33.81%+0.10 -12.8 4
1956-08-25 @ KB Copenhagen W 2-045.4 1454 1425 33.81% 22.00% 44.20%-0.10 +12.8 4
1956-08-26 Vejle BK W 4-038.7 1475 1460 49.99% 21.88% 28.14%+0.40 +16.8 6
1956-08-26 @ AB Gladsaxe L 0-438.7 1460 1475 28.14% 21.88% 49.99%-0.40 -16.8 3
1956-08-26 Aarhus GF L 1-253.6 1444 1516 38.14% 21.98% 39.89%-0.19 -5.7 3
1956-08-26 @ AIA Tranbjerg W 2-153.6 1516 1444 39.89% 21.98% 38.14%+0.19 +5.7 8
1956-08-26 B 1909 W 1-043.5 1467 1430 52.54% 21.77% 25.69%+0.55 +4.4 6
1956-08-26 @ Esbjerg L 0-143.5 1430 1467 25.69% 21.77% 52.54%-0.55 -4.4 2
1956-08-26 B 1903 W 2-039.7 1432 1417 49.98% 21.88% 28.14%+0.40 +8.9 4
1956-08-26 @ Skovshoved L 0-239.7 1417 1432 28.14% 21.88% 49.98%-0.40 -8.9 1
1956-09-08 Vejle BK W 5-352.7 1492 1443 54.03% 21.69% 24.28%+0.63 +5.7 8
1956-09-08 @ AB Gladsaxe L 3-552.7 1443 1492 24.28% 21.69% 54.03%-0.63 -5.7 3
1956-09-08 KB Copenhagen L 1-351.3 1438 1412 51.25% 21.83% 26.93%+0.47 -12.6 3
1956-09-08 @ AIA Tranbjerg W 3-151.3 1412 1438 26.93% 21.83% 51.25%-0.47 +12.6 6
1956-09-08 Frem L 0-148.9 1426 1426 48.06% 21.93% 30.01%+0.30 -7.3 2
1956-09-08 @ B 1909 W 1-048.9 1426 1426 30.01% 21.93% 48.06%-0.30 +7.3 3
1956-09-08 Aarhus GF L 0-248.5 1471 1521 41.23% 22.00% 36.77%-0.04 -12.1 6
1956-09-08 @ Esbjerg W 2-048.5 1521 1471 36.77% 22.00% 41.23%+0.04 +12.1 10
1956-09-08 Skovshoved W 3-253.6 1408 1441 43.61% 22.00% 34.39%+0.07 +5.0 3
1956-09-08 @ B 1903 L 2-353.6 1441 1408 34.39% 22.00% 43.61%-0.07 -5.0 4
1956-09-08 Skovshoved W 4-143.2 1433 1436 47.63% 21.94% 30.42%+0.28 +11.6 5
1956-09-08 @ Frem L 1-443.2 1436 1433 30.42% 21.94% 47.63%-0.28 -11.6 4
1956-09-09 AB Gladsaxe L 2-365.2 1533 1498 52.45% 21.77% 25.77%+0.54 -7.0 10
1956-09-09 @ Aarhus GF W 3-265.2 1498 1533 25.77% 21.77% 52.45%-0.54 +7.0 10
1956-09-09 B 1909 W 6-037.0 1413 1419 47.27% 21.95% 30.78%+0.26 +26.5 5
1956-09-09 @ B 1903 L 0-637.0 1419 1413 30.78% 21.95% 47.27%-0.26 -26.5 2
1956-09-09 Esbjerg L 0-342.9 1425 1459 43.48% 22.00% 34.52%+0.07 -18.3 6
1956-09-09 @ KB Copenhagen W 3-042.9 1459 1425 34.52% 22.00% 43.48%-0.07 +18.3 8
1956-09-09 AIA Tranbjerg D 1-157.9 1437 1425 49.53% 21.89% 28.58%+0.38 -0.7 4
1956-09-09 @ Vejle BK D 1-157.9 1425 1437 28.58% 21.89% 49.53%-0.38 +0.7 4
1956-09-14 AB Gladsaxe L 1-252.2 1425 1505 36.98% 21.96% 41.07%-0.25 -5.5 4
1956-09-14 @ Skovshoved W 2-152.2 1505 1425 41.07% 21.96% 36.98%+0.25 +5.5 12
1956-09-15 B 1903 W 3-145.7 1526 1439 58.17% 21.39% 20.45%+0.89 +5.9 12
1956-09-15 @ Aarhus GF L 1-345.7 1439 1526 20.45% 21.39% 58.17%-0.89 -5.9 5
1956-09-15 AIA Tranbjerg W 7-139.8 1445 1426 50.38% 21.86% 27.76%+0.42 +20.1 7
1956-09-15 @ Frem L 1-739.8 1426 1445 27.76% 21.86% 50.38%-0.42 -20.1 4
1956-09-15 B 1909 D 1-156.2 1407 1392 49.86% 21.88% 28.26%+0.40 -0.7 7
1956-09-15 @ KB Copenhagen D 1-156.2 1392 1407 28.26% 21.88% 49.86%-0.40 +0.7 3
1956-09-15 Esbjerg W 6-143.7 1437 1477 42.55% 22.00% 35.44%+0.02 +20.7 6
1956-09-15 @ Vejle BK L 1-643.7 1477 1437 35.44% 22.00% 42.55%-0.02 -20.7 8
1956-09-22 Skovshoved L 1-446.7 1406 1419 46.32% 21.97% 31.71%+0.21 -16.3 7
1956-09-22 @ KB Copenhagen W 4-146.7 1419 1406 31.71% 21.97% 46.32%-0.21 +16.3 6
1956-09-23 B 1909 W 4-246.9 1510 1393 61.19% 21.07% 17.74%+1.10 +4.6 14
1956-09-23 @ AB Gladsaxe L 2-446.9 1393 1510 17.74% 21.07% 61.19%-1.10 -4.6 3
1956-09-23 B 1903 W 2-148.4 1406 1434 44.37% 21.99% 33.64%+0.11 +5.1 6
1956-09-23 @ AIA Tranbjerg L 1-248.4 1434 1406 33.64% 21.99% 44.37%-0.11 -5.1 5
1956-09-23 Vejle BK W 1-045.4 1457 1457 47.95% 21.94% 30.12%+0.29 +5.0 10
1956-09-23 @ Esbjerg L 0-145.4 1457 1457 30.12% 21.94% 47.95%-0.29 -5.0 6
1956-09-23 Aarhus GF L 1-255.2 1465 1532 38.79% 21.98% 39.23%-0.16 -5.7 7
1956-09-23 @ Frem W 2-155.2 1532 1465 39.23% 21.98% 38.79%+0.16 +5.7 14
1956-09-28 KB Copenhagen D 2-261.4 1428 1390 52.83% 21.75% 25.42%+0.56 -0.7 6
1956-09-28 @ B 1903 D 2-261.4 1390 1428 25.42% 21.75% 52.83%-0.56 +0.7 8
1956-09-29 Aarhus GF D 2-269.2 1515 1538 44.98% 21.99% 33.03%+0.14 -0.3 15
1956-09-29 @ AB Gladsaxe D 2-269.2 1538 1515 33.03% 21.99% 44.98%-0.14 +0.3 15
1956-09-29 B 1909 L 0-642.2 1411 1388 50.90% 21.84% 27.26%+0.45 -40.1 6
1956-09-29 @ AIA Tranbjerg W 6-042.2 1388 1411 27.26% 21.84% 50.90%-0.45 +40.1 5
1956-09-29 Skovshoved D 0-055.6 1462 1435 51.33% 21.82% 26.84%+0.48 -0.9 11
1956-09-29 @ Esbjerg D 0-055.6 1435 1462 26.84% 21.82% 51.33%-0.48 +0.9 7
1956-09-29 Vejle BK W 4-250.8 1459 1452 48.90% 21.91% 29.19%+0.34 +7.1 9
1956-09-29 @ Frem L 2-450.8 1452 1459 29.19% 21.91% 48.90%-0.34 -7.1 6
1956-09-30 B 1903 L 1-258.8 1515 1428 58.16% 21.39% 20.45%+0.89 -8.2 15
1956-09-30 @ AB Gladsaxe W 2-158.8 1428 1515 20.45% 21.39% 58.16%-0.89 +8.2 8
1956-09-30 Esbjerg W 3-041.0 1371 1461 35.69% 21.93% 42.38%-0.31 +17.9 8
1956-09-30 @ AIA Tranbjerg L 0-341.0 1461 1371 42.38% 21.93% 35.69%+0.31 -17.9 11
1956-09-30 Frem L 1-350.2 1428 1466 42.97% 22.00% 35.02%+0.04 -10.8 5
1956-09-30 @ B 1909 W 3-150.2 1466 1428 35.02% 22.00% 42.97%-0.04 +10.8 11
1956-09-30 Aarhus GF W 2-048.6 1436 1538 33.99% 21.88% 44.13%-0.40 +12.7 9
1956-09-30 @ Skovshoved L 0-248.6 1538 1436 44.13% 21.88% 33.99%+0.40 -12.7 15
1956-09-30 KB Copenhagen W 3-142.5 1445 1390 54.68% 21.65% 23.67%+0.67 +6.6 8
1956-09-30 @ Vejle BK L 1-342.5 1390 1445 23.67% 21.65% 54.68%-0.67 -6.7 8
1956-11-10 AB Gladsaxe L 1-642.0 1389 1507 31.96% 21.81% 46.23%-0.50 -19.0 8
1956-11-10 @ AIA Tranbjerg W 6-142.0 1507 1389 46.23% 21.81% 31.96%+0.50 +19.0 17
1956-11-10 Skovshoved W 2-149.3 1418 1449 43.86% 22.00% 34.14%+0.09 +5.2 7
1956-11-10 @ B 1909 L 1-249.3 1449 1418 34.14% 22.00% 43.86%-0.09 -5.2 9
1956-11-10 Esbjerg L 0-246.3 1436 1443 47.14% 21.95% 30.91%+0.25 -13.5 8
1956-11-10 @ B 1903 W 2-046.3 1443 1436 30.91% 21.95% 47.14%-0.25 +13.5 13
1956-11-10 Frem W 3-256.4 1384 1477 35.19% 21.92% 42.89%-0.33 +5.9 10
1956-11-10 @ KB Copenhagen L 2-356.4 1477 1384 42.89% 21.92% 35.19%+0.33 -5.9 11
1956-11-10 Aarhus GF W 3-259.6 1452 1526 37.90% 21.97% 40.13%-0.20 +5.6 10
1956-11-10 @ Vejle BK L 2-359.6 1526 1452 40.13% 21.97% 37.90%+0.20 -5.6 15
1956-11-11 Skovshoved L 2-353.7 1370 1444 37.89% 21.97% 40.13%-0.20 -5.4 8
1956-11-11 @ AIA Tranbjerg W 3-253.7 1444 1370 40.13% 21.97% 37.89%+0.20 +5.3 11
1956-11-11 Aarhus GF L 1-254.6 1456 1520 39.33% 21.99% 38.68%-0.13 -5.8 13
1956-11-11 @ Esbjerg W 2-154.6 1520 1456 38.68% 21.99% 39.33%+0.13 +5.8 17
1956-11-11 Frem L 2-357.0 1422 1471 41.47% 22.00% 36.53%-0.03 -5.7 8
1956-11-11 @ B 1903 W 3-257.0 1471 1422 36.53% 22.00% 41.47%+0.03 +5.8 13
1956-11-11 AB Gladsaxe W 4-256.7 1390 1526 29.64% 21.70% 48.66%-0.62 +10.7 12
1956-11-11 @ KB Copenhagen L 2-456.7 1526 1390 48.66% 21.70% 29.64%+0.62 -10.7 17
1956-11-11 B 1909 W 5-457.2 1457 1423 52.33% 21.78% 25.89%+0.53 +3.8 12
1956-11-11 @ Vejle BK L 4-557.2 1423 1457 25.89% 21.78% 52.33%-0.53 -3.8 7
1956-11-17 Frem W 2-151.0 1526 1477 54.02% 21.69% 24.29%+0.63 +3.9 19
1956-11-17 @ Aarhus GF L 1-251.0 1477 1526 24.29% 21.69% 54.02%-0.63 -3.9 13
1956-11-17 Esbjerg D 1-161.4 1515 1450 55.75% 21.58% 22.67%+0.74 -1.1 18
1956-11-17 @ AB Gladsaxe D 1-161.4 1450 1515 22.67% 21.58% 55.75%-0.74 +1.1 14
1956-11-17 B 1903 W 3-037.3 1419 1417 48.32% 21.93% 29.75%+0.31 +13.5 9
1956-11-17 @ B 1909 L 0-337.3 1417 1419 29.75% 21.93% 48.32%-0.31 -13.5 8
1956-11-17 AIA Tranbjerg W 4-138.6 1449 1365 57.91% 21.41% 20.68%+0.87 +8.4 13
1956-11-17 @ Skovshoved L 1-438.6 1365 1449 20.68% 21.41% 57.91%-0.87 -8.4 8
1956-11-17 KB Copenhagen L 0-444.4 1461 1400 55.36% 21.61% 23.03%+0.71 -29.5 12
1956-11-17 @ Vejle BK W 4-044.4 1400 1461 23.03% 21.61% 55.36%-0.71 +29.5 14
1956-11-25 KB Copenhagen W 6-037.4 1530 1430 59.48% 21.26% 19.26%+0.98 +17.8 21
1956-11-25 @ Aarhus GF L 0-637.4 1430 1530 19.26% 21.26% 59.48%-0.98 -17.8 14
1956-11-25 AIA Tranbjerg W 4-032.2 1514 1356 64.76% 20.58% 14.66%+1.37 +9.5 20
1956-11-25 @ AB Gladsaxe L 0-432.2 1356 1514 14.66% 20.58% 64.76%-1.37 -9.5 8
1956-11-25 Skovshoved L 0-149.1 1433 1457 44.73% 21.99% 33.28%+0.13 -6.8 9
1956-11-25 @ B 1909 W 1-049.1 1457 1433 33.28% 21.99% 44.73%-0.13 +6.8 15
1956-11-25 Esbjerg L 1-251.2 1403 1452 41.50% 22.00% 36.50%-0.03 -6.1 8
1956-11-25 @ B 1903 W 2-151.2 1452 1403 36.50% 22.00% 41.50%+0.03 +6.1 16
1956-11-25 Frem W 3-255.6 1432 1473 42.50% 22.00% 35.50%+0.02 +5.1 14
1956-11-25 @ Vejle BK L 2-355.6 1473 1432 35.50% 22.00% 42.50%-0.02 -5.1 13
1957-01-06 AB Gladsaxe L 1-255.5 1468 1523 40.51% 22.00% 37.49%-0.08 -5.9 13
1957-01-06 @ Frem W 2-155.5 1523 1468 37.49% 22.00% 40.51%+0.08 +5.9 22
1957-01-13 AB Gladsaxe L 3-752.4 1464 1529 39.16% 21.99% 38.85%-0.14 -14.2 15
1957-01-13 @ Skovshoved W 7-352.4 1529 1464 38.85% 21.99% 39.16%+0.14 +14.2 24
1957-01-14 B 1909 W 4-142.5 1548 1426 61.60% 21.02% 17.37%+1.13 +7.2 23
1957-01-14 @ Aarhus GF L 1-442.5 1426 1548 17.37% 21.02% 61.60%-1.13 -7.2 9
1957-01-14 Esbjerg D 3-368.6 1462 1458 48.57% 21.92% 29.52%+0.33 -0.4 14
1957-01-14 @ Frem D 3-368.6 1458 1462 29.52% 21.92% 48.57%-0.33 +0.4 17
1957-01-14 AIA Tranbjerg W 2-035.8 1412 1347 55.85% 21.57% 22.58%+0.74 +7.4 16
1957-01-14 @ KB Copenhagen L 0-235.8 1347 1412 22.58% 21.57% 55.85%-0.74 -7.4 8
1957-01-14 B 1903 W 4-140.6 1437 1397 52.92% 21.75% 25.33%+0.57 +10.0 16
1957-01-14 @ Vejle BK L 1-440.6 1397 1437 25.33% 21.75% 52.92%-0.57 -10.0 8
1957-01-20 Esbjerg W 3-255.8 1339 1458 31.82% 21.80% 46.38%-0.51 +6.3 10
1957-01-20 @ AIA Tranbjerg L 2-355.8 1458 1339 46.38% 21.80% 31.82%+0.51 -6.3 17
1957-01-20 AB Gladsaxe L 0-147.4 1419 1543 31.03% 21.77% 47.20%-0.55 -5.1 9
1957-01-20 @ B 1909 W 1-047.4 1543 1419 47.20% 21.77% 31.03%+0.55 +5.1 26
1957-01-20 Aarhus GF D 2-266.3 1419 1555 29.73% 21.70% 48.57%-0.62 +0.5 17
1957-01-20 @ KB Copenhagen D 2-266.3 1555 1419 48.57% 21.70% 29.73%+0.62 -0.5 24
1957-01-20 Frem W 2-149.9 1450 1461 46.55% 21.97% 31.49%+0.22 +4.9 17
1957-01-20 @ Skovshoved L 1-249.9 1461 1450 31.49% 21.97% 46.55%-0.22 -4.9 14
1957-01-20 B 1903 D 1-157.2 1447 1387 55.21% 21.62% 23.18%+0.70 -1.1 17
1957-01-20 @ Vejle BK D 1-157.2 1387 1447 23.18% 21.62% 55.21%-0.70 +1.1 9
1957-01-26 B 1903 D 3-366.4 1457 1388 56.18% 21.55% 22.27%+0.76 -0.7 15
1957-01-26 @ Frem D 3-366.4 1388 1457 22.27% 21.55% 56.18%-0.76 +0.7 10
1957-01-27 AIA Tranbjerg W 1-038.8 1554 1346 68.72% 19.82% 11.46%+1.72 +2.1 26
1957-01-27 @ Aarhus GF L 0-138.8 1346 1554 11.46% 19.82% 68.72%-1.72 -2.1 10
1957-01-27 KB Copenhagen L 3-469.0 1548 1420 62.22% 20.95% 16.84%+1.17 -8.0 26
1957-01-27 @ AB Gladsaxe W 4-369.0 1420 1548 16.84% 20.95% 62.22%-1.17 +8.0 19
1957-01-27 B 1909 L 1-254.8 1452 1413 52.77% 21.76% 25.47%+0.56 -7.5 17
1957-01-27 @ Esbjerg W 2-154.8 1413 1452 25.47% 21.76% 52.77%-0.56 +7.5 11
1957-01-27 Vejle BK W 3-146.1 1455 1446 49.23% 21.90% 28.87%+0.36 +7.9 19
1957-01-27 @ Skovshoved L 1-346.1 1446 1455 28.87% 21.90% 49.23%-0.36 -7.8 17
1957-01-28 Frem L 1-442.0 1344 1456 32.65% 21.83% 45.52%-0.46 -12.2 10
1957-01-28 @ AIA Tranbjerg W 4-142.0 1456 1344 45.52% 21.83% 32.65%+0.46 +12.2 17
1957-01-28 KB Copenhagen D 0-054.1 1421 1428 47.11% 21.95% 30.94%+0.25 -0.6 12
1957-01-28 @ B 1909 D 0-054.1 1428 1421 30.94% 21.95% 47.11%-0.25 +0.6 20
1957-01-28 AB Gladsaxe L 1-350.9 1444 1540 34.81% 21.91% 43.29%-0.35 -9.1 17
1957-01-28 @ Esbjerg W 3-150.9 1540 1444 43.29% 21.91% 34.81%+0.35 +9.1 28
1957-01-28 Aarhus GF L 1-346.6 1389 1556 25.95% 21.45% 52.60%-0.84 -7.2 10
1957-01-28 @ B 1903 W 3-146.6 1556 1389 52.60% 21.45% 25.95%+0.84 +7.2 28
1957-01-28 Vejle BK W 3-038.4 1463 1438 51.18% 21.83% 26.99%+0.47 +12.5 21
1957-01-28 @ Skovshoved L 0-338.4 1438 1463 26.99% 21.83% 51.18%-0.47 -12.5 17
1957-03-16 AB Gladsaxe W 3-154.0 1468 1550 36.83% 21.95% 41.22%-0.25 +10.4 19
1957-03-16 @ Frem L 1-354.0 1550 1468 41.22% 21.95% 36.83%+0.25 -10.4 28
1957-03-17 B 1903 W 5-243.5 1564 1382 66.71% 20.23% 13.06%+1.53 +4.7 30
1957-03-17 @ Aarhus GF L 2-543.5 1382 1564 13.06% 20.23% 66.71%-1.53 -4.7 10
1957-03-17 AIA Tranbjerg L 2-456.0 1435 1331 59.87% 21.22% 18.91%+1.00 -13.0 17
1957-03-17 @ Esbjerg W 4-256.0 1331 1435 18.91% 21.22% 59.87%-1.00 +13.0 12
1957-03-24 AB Gladsaxe L 2-350.9 1344 1539 23.01% 21.19% 55.80%-1.02 -3.5 12
1957-03-24 @ AIA Tranbjerg W 3-250.9 1539 1344 55.80% 21.19% 23.01%+1.02 +3.5 30
1957-03-24 Aarhus GF W 1-054.1 1420 1568 28.19% 21.61% 50.20%-0.71 +7.5 14
1957-03-24 @ B 1909 L 0-154.1 1568 1420 50.20% 21.61% 28.19%+0.71 -7.5 30
1957-03-24 Skovshoved D 1-157.6 1377 1475 34.52% 21.90% 43.58%-0.37 +0.3 11
1957-03-24 @ B 1903 D 1-157.6 1475 1377 43.58% 21.90% 34.52%+0.37 -0.3 22
1957-03-24 Frem L 1-350.1 1429 1479 41.27% 22.00% 36.73%-0.04 -10.5 20
1957-03-24 @ KB Copenhagen W 3-150.1 1479 1429 36.73% 22.00% 41.27%+0.04 +10.5 21
1957-03-24 Esbjerg W 3-144.7 1425 1422 48.43% 21.92% 29.65%+0.32 +8.0 19
1957-03-24 @ Vejle BK L 1-344.7 1422 1425 29.65% 21.92% 48.43%-0.32 -8.0 17
1957-04-06 KB Copenhagen W 2-039.5 1475 1418 54.92% 21.63% 23.45%+0.69 +7.6 24
1957-04-06 @ Skovshoved L 0-239.5 1418 1475 23.45% 21.63% 54.92%-0.69 -7.6 20
1957-04-07 Aarhus GF L 0-156.9 1543 1561 45.65% 21.98% 32.37%+0.18 -7.0 30
1957-04-07 @ AB Gladsaxe W 1-056.9 1561 1543 32.37% 21.98% 45.65%-0.18 +7.0 32
1957-04-07 B 1909 L 0-143.3 1341 1428 36.05% 21.94% 42.02%-0.29 -5.7 12
1957-04-07 @ AIA Tranbjerg W 1-043.3 1428 1341 42.02% 21.94% 36.05%+0.29 +5.7 16
1957-04-07 B 1903 L 1-350.2 1414 1377 52.59% 21.77% 25.65%+0.55 -12.9 17
1957-04-07 @ Esbjerg W 3-150.2 1377 1414 25.65% 21.77% 52.59%-0.55 +12.9 13
1957-04-07 Vejle BK W 2-040.5 1489 1433 54.78% 21.64% 23.58%+0.68 +7.7 23
1957-04-07 @ Frem L 0-240.5 1433 1489 23.58% 21.64% 54.78%-0.68 -7.7 19
1957-04-13 Frem L 0-152.6 1483 1497 46.19% 21.97% 31.84%+0.20 -7.0 24
1957-04-13 @ Skovshoved W 1-052.6 1497 1483 31.84% 21.97% 46.19%-0.20 +7.0 25
1957-04-14 Vejle BK D 1-157.8 1434 1426 49.04% 21.91% 29.06%+0.35 -0.7 17
1957-04-14 @ B 1909 D 1-157.8 1426 1434 29.06% 21.91% 49.04%-0.35 +0.7 20
1957-04-14 AIA Tranbjerg W 3-033.1 1390 1335 54.73% 21.65% 23.63%+0.67 +11.1 15
1957-04-14 @ B 1903 L 0-333.1 1335 1390 23.63% 21.65% 54.73%-0.67 -11.1 12
1957-04-14 Aarhus GF D 0-058.6 1410 1568 27.11% 21.54% 51.35%-0.77 +0.9 21
1957-04-14 @ KB Copenhagen D 0-058.6 1568 1410 51.35% 21.54% 27.11%+0.77 -0.9 33
1957-04-18 Vejle BK D 0-053.8 1411 1426 46.07% 21.97% 31.96%+0.20 -0.5 22
1957-04-18 @ KB Copenhagen D 0-053.8 1426 1411 31.96% 21.97% 46.07%-0.20 +0.5 21
1957-04-18 B 1909 W 2-040.5 1476 1433 53.29% 21.73% 24.98%+0.59 +8.0 26
1957-04-18 @ Skovshoved L 0-240.5 1433 1476 24.98% 21.73% 53.29%-0.59 -8.0 17
1957-04-21 AIA Tranbjerg D 0-054.1 1504 1324 66.56% 20.26% 13.18%+1.52 -2.2 26
1957-04-21 @ Frem D 0-054.1 1324 1504 13.18% 20.26% 66.56%-1.52 +2.1 13
1957-04-21 Skovshoved D 1-159.3 1427 1484 40.31% 22.00% 37.69%-0.09 -0.1 22
1957-04-21 @ Vejle BK D 1-159.3 1484 1427 37.69% 22.00% 40.31%+0.09 +0.1 27
1957-04-22 Esbjerg D 2-266.5 1567 1401 65.41% 20.47% 14.12%+1.42 -1.4 34
1957-04-22 @ Aarhus GF D 2-266.5 1401 1567 14.12% 20.47% 65.41%-1.42 +1.4 18
1957-04-22 AB Gladsaxe D 1-160.3 1401 1536 29.85% 21.71% 48.44%-0.61 +0.6 16
1957-04-22 @ B 1903 D 1-160.3 1536 1401 48.44% 21.71% 29.85%+0.61 -0.6 31
1957-05-12 KB Copenhagen W 5-037.6 1326 1411 36.35% 21.94% 41.71%-0.28 +28.4 15
1957-05-12 @ AIA Tranbjerg L 0-537.6 1411 1326 41.71% 21.94% 36.35%+0.28 -28.4 22
1957-05-12 AB Gladsaxe D 0-057.8 1425 1535 32.92% 21.84% 45.23%-0.45 +0.5 18
1957-05-12 @ B 1909 D 0-057.8 1535 1425 45.23% 21.84% 32.92%+0.45 -0.5 32
1957-05-12 B 1903 W 2-145.8 1502 1402 59.44% 21.26% 19.29%+0.97 +3.2 28
1957-05-12 @ Frem L 1-245.8 1402 1502 19.29% 21.26% 59.44%-0.97 -3.2 16
1957-05-12 Esbjerg W 3-143.1 1484 1403 57.55% 21.44% 21.01%+0.85 +6.0 29
1957-05-12 @ Skovshoved L 1-343.1 1403 1484 21.01% 21.44% 57.55%-0.85 -6.0 18
1957-05-12 Aarhus GF L 1-252.1 1427 1565 29.32% 21.68% 49.00%-0.64 -4.6 22
1957-05-12 @ Vejle BK W 2-152.1 1565 1427 49.00% 21.68% 29.32%+0.64 +4.6 36
1957-05-18 Skovshoved W 2-151.9 1535 1490 53.54% 21.72% 24.74%+0.60 +4.0 34
1957-05-18 @ AB Gladsaxe L 1-251.9 1490 1535 24.74% 21.72% 53.54%-0.60 -4.0 29
1957-05-19 AIA Tranbjerg L 0-156.9 1570 1354 69.21% 19.70% 11.08%+1.76 -10.2 36
1957-05-19 @ Aarhus GF W 1-056.9 1354 1570 11.08% 19.70% 69.21%-1.76 +10.2 17
1957-05-19 Frem D 2-263.7 1397 1505 33.20% 21.85% 44.94%-0.44 +0.3 19
1957-05-19 @ Esbjerg D 2-263.7 1505 1397 44.94% 21.85% 33.20%+0.44 -0.3 29
1957-05-19 Vejle BK D 2-261.4 1399 1422 44.94% 21.99% 33.07%+0.14 -0.3 17
1957-05-19 @ B 1903 D 2-261.4 1422 1399 33.07% 21.99% 44.94%-0.14 +0.3 23
1957-05-19 B 1909 W 2-040.9 1382 1425 42.27% 22.00% 35.73%+0.01 +10.8 24
1957-05-19 @ KB Copenhagen L 0-240.9 1425 1382 35.73% 22.00% 42.27%-0.01 -10.8 18
1957-05-30 Skovshoved W 3-256.4 1560 1486 56.80% 21.50% 21.70%+0.80 +3.4 38
1957-05-30 @ Aarhus GF L 2-356.4 1486 1560 21.70% 21.50% 56.80%-0.80 -3.4 29
1957-05-30 KB Copenhagen D 0-057.1 1539 1393 63.72% 20.74% 15.54%+1.29 -1.9 35
1957-05-30 @ AB Gladsaxe D 0-057.1 1393 1539 15.54% 20.74% 63.72%-1.29 +1.9 25
1957-05-30 Esbjerg L 2-551.0 1415 1397 50.25% 21.87% 27.88%+0.42 -15.1 18
1957-05-30 @ B 1909 W 5-251.0 1397 1415 27.88% 21.87% 50.25%-0.42 +15.1 21
1957-06-01 B 1903 W 2-039.0 1395 1399 47.59% 21.94% 30.47%+0.28 +9.5 27
1957-06-01 @ KB Copenhagen L 0-239.0 1399 1395 30.47% 21.94% 47.59%-0.28 -9.5 17
1957-06-02 Esbjerg L 0-252.7 1537 1412 61.85% 20.99% 17.15%+1.14 -17.3 35
1957-06-02 @ AB Gladsaxe W 2-052.7 1412 1537 17.15% 20.99% 61.85%-1.14 +17.3 23
1957-06-02 Vejle BK L 1-249.1 1365 1422 40.17% 22.00% 37.83%-0.09 -5.9 17
1957-06-02 @ AIA Tranbjerg W 2-149.1 1422 1365 37.83% 22.00% 40.17%+0.09 +5.9 25
1957-06-02 B 1909 W 3-035.8 1504 1399 59.99% 21.21% 18.80%+1.01 +9.1 31
1957-06-02 @ Frem L 0-335.8 1399 1504 18.80% 21.21% 59.99%-1.01 -9.1 18
1957-06-09 Frem D 1-165.5 1563 1514 54.08% 21.69% 24.24%+0.64 -1.0 39
1957-06-09 @ Aarhus GF D 1-165.5 1514 1563 24.24% 21.69% 54.08%-0.64 +1.0 32
1957-06-09 B 1903 W 6-035.5 1390 1389 48.19% 21.93% 29.88%+0.31 +25.9 20
1957-06-09 @ B 1909 L 0-635.5 1389 1390 29.88% 21.93% 48.19%-0.31 -25.9 17
1957-06-09 KB Copenhagen W 4-141.1 1429 1405 51.14% 21.83% 27.02%+0.47 +10.5 25
1957-06-09 @ Esbjerg L 1-441.1 1405 1429 27.02% 21.83% 51.14%-0.47 -10.5 27
1957-06-09 AIA Tranbjerg D 1-157.5 1482 1359 61.76% 21.00% 17.24%+1.14 -1.6 30
1957-06-09 @ Skovshoved D 1-157.5 1359 1482 17.24% 21.00% 61.76%-1.14 +1.6 18
1957-06-09 AB Gladsaxe L 3-460.6 1428 1519 35.50% 21.92% 42.58%-0.32 -5.0 25
1957-06-09 @ Vejle BK W 4-360.6 1519 1428 42.58% 21.92% 35.50%+0.32 +4.9 37

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 1957-05-19 11.08% AIA Tranbjerg 1354 1 @ Aarhus GF 1570 0
2 1957-01-27 16.84% KB Copenhagen 1420 4 @ AB Gladsaxe 1548 3
3 1957-06-02 17.15% Esbjerg 1412 2 @ AB Gladsaxe 1537 0
4 1957-03-17 18.91% AIA Tranbjerg 1331 4 @ Esbjerg 1435 2
5 1956-09-30 20.45% B 1903 1428 2 @ AB Gladsaxe 1515 1
6 1956-11-17 23.03% KB Copenhagen 1400 4 @ Vejle BK 1461 0
7 1956-08-19 24.14% Skovshoved 1420 5 @ Esbjerg 1470 2
8 1957-01-27 25.47% B 1909 1413 2 @ Esbjerg 1452 1
9 1957-04-07 25.65% B 1903 1377 3 @ Esbjerg 1414 1
10 1956-09-09 25.77% AB Gladsaxe 1498 3 @ Aarhus GF 1533 2
11 1956-09-08 26.93% KB Copenhagen 1412 3 @ AIA Tranbjerg 1438 1
12 1956-09-29 27.26% B 1909 1388 6 @ AIA Tranbjerg 1411 0
13 1957-05-30 27.88% Esbjerg 1397 5 @ B 1909 1415 2
14 1957-03-24 28.19% @ B 1909 1420 1 Aarhus GF 1568 0
15 1956-08-25 29.47% Vejle BK 1443 4 @ B 1909 1447 1
16 1956-11-11 29.64% @ KB Copenhagen 1390 4 AB Gladsaxe 1526 2
17 1956-09-08 30.01% Frem 1426 1 @ B 1909 1426 0
18 1956-11-10 30.91% Esbjerg 1443 2 @ B 1903 1436 0
19 1956-08-25 31.67% AIA Tranbjerg 1437 1 @ B 1903 1424 0
20 1956-09-22 31.71% Skovshoved 1419 4 @ KB Copenhagen 1406 1
21 1957-01-20 31.82% @ AIA Tranbjerg 1339 3 Esbjerg 1458 2
22 1957-04-13 31.84% Frem 1497 1 @ Skovshoved 1483 0
23 1957-04-07 32.37% Aarhus GF 1561 1 @ AB Gladsaxe 1543 0
24 1956-11-25 33.28% Skovshoved 1457 1 @ B 1909 1433 0
25 1956-08-25 33.81% Esbjerg 1454 2 @ KB Copenhagen 1425 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 1956-09-29 40.06 B 1909 6 1388 27.26% @ AIA Tranbjerg 0 1411 50.90% 21.84%
2 1956-11-17 29.54 KB Copenhagen 4 1400 23.03% @ Vejle BK 0 1461 55.36% 21.61%
3 1957-05-12 28.44 @ AIA Tranbjerg 5 1326 36.35% KB Copenhagen 0 1411 41.71% 21.94%
4 1956-09-09 26.55 @ B 1903 6 1413 47.27% B 1909 0 1419 30.78% 21.95%
5 1957-06-09 25.92 @ B 1909 6 1390 48.19% B 1903 0 1389 29.88% 21.93%
6 1956-09-15 20.73 @ Vejle BK 6 1437 42.55% Esbjerg 1 1477 35.44% 22.00%
7 1956-09-15 20.13 @ Frem 7 1445 50.38% AIA Tranbjerg 1 1426 27.76% 21.86%
8 1956-11-10 19.05 AB Gladsaxe 6 1507 46.23% @ AIA Tranbjerg 1 1389 31.96% 21.81%
9 1956-09-09 18.29 Esbjerg 3 1459 34.52% @ KB Copenhagen 0 1425 43.48% 22.00%
10 1956-09-30 17.89 @ AIA Tranbjerg 3 1371 35.69% Esbjerg 0 1461 42.38% 21.93%
11 1956-11-25 17.81 @ Aarhus GF 6 1530 59.48% KB Copenhagen 0 1430 19.26% 21.26%
12 1957-06-02 17.30 Esbjerg 2 1412 17.15% @ AB Gladsaxe 0 1537 61.85% 20.99%
13 1956-08-25 16.95 Vejle BK 4 1443 29.47% @ B 1909 1 1447 48.61% 21.92%
14 1956-08-26 16.85 @ AB Gladsaxe 4 1475 49.99% Vejle BK 0 1460 28.14% 21.88%
15 1956-08-18 16.28 @ KB Copenhagen 5 1408 44.26% Skovshoved 1 1436 33.74% 22.00%
16 1956-09-22 16.27 Skovshoved 4 1419 31.71% @ KB Copenhagen 1 1406 46.32% 21.97%
17 1956-08-19 16.19 Skovshoved 5 1420 24.14% @ Esbjerg 2 1470 54.18% 21.68%
18 1957-05-30 15.12 Esbjerg 5 1397 27.88% @ B 1909 2 1415 50.25% 21.87%
19 1957-01-13 14.17 AB Gladsaxe 7 1529 38.85% @ Skovshoved 3 1464 39.16% 21.99%
20 1956-11-17 13.51 @ B 1909 3 1419 48.32% B 1903 0 1417 29.75% 21.93%
21 1956-11-10 13.48 Esbjerg 2 1443 30.91% @ B 1903 0 1436 47.14% 21.95%
22 1957-03-17 12.99 AIA Tranbjerg 4 1331 18.91% @ Esbjerg 2 1435 59.87% 21.22%
23 1957-04-07 12.86 B 1903 3 1377 25.65% @ Esbjerg 1 1414 52.59% 21.77%
24 1956-08-25 12.76 Esbjerg 2 1454 33.81% @ KB Copenhagen 0 1425 44.20% 22.00%
25 1956-09-30 12.74 @ Skovshoved 2 1436 33.99% Aarhus GF 0 1538 44.13% 21.88%

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 1956-09-29 69.2 @ AB Gladsaxe 2 1515 44.98% Aarhus GF 2 1538 33.03% 21.99%
2 1957-01-27 69.0 KB Copenhagen 4 1420 16.84% @ AB Gladsaxe 3 1548 62.22% 20.95%
3 1957-01-14 68.6 @ Frem 3 1462 48.57% Esbjerg 3 1458 29.52% 21.92%
4 1957-04-22 66.5 @ Aarhus GF 2 1567 65.41% Esbjerg 2 1401 14.12% 20.47%
5 1957-01-26 66.4 @ Frem 3 1457 56.18% B 1903 3 1388 22.27% 21.55%
6 1957-01-20 66.3 @ KB Copenhagen 2 1419 29.73% Aarhus GF 2 1555 48.57% 21.70%
7 1957-06-09 65.5 @ Aarhus GF 1 1563 54.08% Frem 1 1514 24.24% 21.69%
8 1956-09-09 65.2 AB Gladsaxe 3 1498 25.77% @ Aarhus GF 2 1533 52.45% 21.77%
9 1957-05-19 63.7 @ Esbjerg 2 1397 33.20% Frem 2 1505 44.94% 21.85%
10 1956-09-28 61.4 @ B 1903 2 1428 52.83% KB Copenhagen 2 1390 25.42% 21.75%
11 1956-11-17 61.4 @ AB Gladsaxe 1 1515 55.75% Esbjerg 1 1450 22.67% 21.58%
12 1957-05-19 61.4 @ B 1903 2 1399 44.94% Vejle BK 2 1422 33.07% 21.99%
13 1957-06-09 60.6 AB Gladsaxe 4 1519 42.58% @ Vejle BK 3 1428 35.50% 21.92%
14 1957-04-22 60.3 @ B 1903 1 1401 29.85% AB Gladsaxe 1 1536 48.44% 21.71%
15 1956-11-10 59.6 @ Vejle BK 3 1452 37.90% Aarhus GF 2 1526 40.13% 21.97%
16 1957-04-21 59.3 @ Vejle BK 1 1427 40.31% Skovshoved 1 1484 37.69% 22.00%
17 1956-09-30 58.8 B 1903 2 1428 20.45% @ AB Gladsaxe 1 1515 58.16% 21.39%
18 1957-04-14 58.6 @ KB Copenhagen 0 1410 27.11% Aarhus GF 0 1568 51.35% 21.54%
19 1956-09-09 57.9 @ Vejle BK 1 1437 49.53% AIA Tranbjerg 1 1425 28.58% 21.89%
20 1957-04-14 57.8 @ B 1909 1 1434 49.04% Vejle BK 1 1426 29.06% 21.91%
21 1957-05-12 57.8 @ B 1909 0 1425 32.92% AB Gladsaxe 0 1535 45.23% 21.84%
22 1957-03-24 57.6 @ B 1903 1 1377 34.52% Skovshoved 1 1475 43.58% 21.90%
23 1956-08-19 57.5 @ B 1903 1 1424 48.10% KB Copenhagen 1 1424 29.97% 21.93%
24 1956-08-25 57.5 @ Frem 1 1426 48.27% KB Copenhagen 1 1425 29.80% 21.93%
25 1957-06-09 57.5 @ Skovshoved 1 1482 61.76% AIA Tranbjerg 1 1359 17.24% 21.00%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 1956-11-25 32.2 @ AB Gladsaxe 4 1514 64.76% AIA Tranbjerg 0 1356 14.66% 20.58%
2 1957-04-14 33.1 @ B 1903 3 1390 54.73% AIA Tranbjerg 0 1335 23.63% 21.65%
3 1957-06-09 35.5 @ B 1909 6 1390 48.19% B 1903 0 1389 29.88% 21.93%
4 1957-01-14 35.8 @ KB Copenhagen 2 1412 55.85% AIA Tranbjerg 0 1347 22.58% 21.57%
5 1957-06-02 35.8 @ Frem 3 1504 59.99% B 1909 0 1399 18.80% 21.21%
6 1956-09-09 37.0 @ B 1903 6 1413 47.27% B 1909 0 1419 30.78% 21.95%
7 1956-11-17 37.3 @ B 1909 3 1419 48.32% B 1903 0 1417 29.75% 21.93%
8 1956-11-25 37.4 @ Aarhus GF 6 1530 59.48% KB Copenhagen 0 1430 19.26% 21.26%
9 1957-05-12 37.6 @ AIA Tranbjerg 5 1326 36.35% KB Copenhagen 0 1411 41.71% 21.94%
10 1957-01-28 38.4 @ Skovshoved 3 1463 51.18% Vejle BK 0 1438 26.99% 21.83%
11 1956-11-17 38.6 @ Skovshoved 4 1449 57.91% AIA Tranbjerg 1 1365 20.68% 21.41%
12 1956-08-26 38.7 @ AB Gladsaxe 4 1475 49.99% Vejle BK 0 1460 28.14% 21.88%
13 1957-01-27 38.8 @ Aarhus GF 1 1554 68.72% AIA Tranbjerg 0 1346 11.46% 19.82%
14 1957-06-01 39.0 @ KB Copenhagen 2 1395 47.59% B 1903 0 1399 30.47% 21.94%
15 1957-04-06 39.5 @ Skovshoved 2 1475 54.92% KB Copenhagen 0 1418 23.45% 21.63%
16 1956-08-26 39.7 @ Skovshoved 2 1432 49.98% B 1903 0 1417 28.14% 21.88%
17 1956-09-15 39.8 @ Frem 7 1445 50.38% AIA Tranbjerg 1 1426 27.76% 21.86%
18 1957-04-07 40.5 @ Frem 2 1489 54.78% Vejle BK 0 1433 23.58% 21.64%
19 1957-04-18 40.5 @ Skovshoved 2 1476 53.29% B 1909 0 1433 24.98% 21.73%
20 1957-01-14 40.6 @ Vejle BK 4 1437 52.92% B 1903 1 1397 25.33% 21.75%
21 1957-05-19 40.9 @ KB Copenhagen 2 1382 42.27% B 1909 0 1425 35.73% 22.00%
22 1956-09-30 41.0 @ AIA Tranbjerg 3 1371 35.69% Esbjerg 0 1461 42.38% 21.93%
23 1957-06-09 41.1 @ Esbjerg 4 1429 51.14% KB Copenhagen 1 1405 27.02% 21.83%
24 1956-08-19 41.7 @ Aarhus GF 2 1504 54.56% Vejle BK 0 1451 23.79% 21.66%
25 1956-08-18 41.8 @ KB Copenhagen 5 1408 44.26% Skovshoved 1 1436 33.74% 22.00%