1955-56 1st Division Season

90 games · 100,000 simulations

Final

Champion

Aarhus GF

26 points

Relegated

No relegation

Biggest Overachiever

Aarhus GF

6.89 points above expected

26 points · 19.11 expected points

Biggest Disappointment

Koge BK

8.23 points below expected

9 points · 17.23 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	18	12	2	4	26	48	25	+23	19.1	+6.89
2	Esbjerg	18	9	4	5	22	42	30	+12	18.3	+3.66
3	AB Gladsaxe	18	9	4	5	22	39	31	+8	19.1	+2.92
4	B 1909	18	7	6	5	20	34	29	+5	17.2	+2.81
5	Skovshoved	18	6	6	6	18	23	24	-1	17.6	+0.39
6	B 1903	18	8	2	8	18	34	36	-2	17.4	+0.61
7	Frem	18	7	4	7	18	27	29	-2	17.8	+0.21
8	AIA Tranbjerg	18	4	6	8	14	38	40	-2	18.8	-4.75
9	KB Copenhagen	18	3	7	8	13	22	37	-15	17.5	-4.51
10	Koge BK	18	3	3	12	9	25	51	-26	17.2	-8.23

Form

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

League Race

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

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Aarhus GF	1495	26	19.11	+6.89	98.6%	6	13	17	19	21	25	31
AB Gladsaxe	1473	22	19.08	+2.92	83.3%	7	13	17	19	21	25	32
AIA Tranbjerg	1468	14	18.75	-4.75	11.5%	7	13	16	19	21	25	30
Esbjerg	1466	22	18.34	+3.66	88.2%	6	13	16	18	21	24	31
Frem	1455	18	17.79	+0.21	57.7%	6	12	15	18	20	24	31
Skovshoved	1447	18	17.61	+0.39	60.0%	5	12	15	18	20	23	30
B 1909	1444	20	17.19	+2.81	83.1%	5	12	15	17	20	23	30
B 1903	1443	18	17.39	+0.61	62.2%	5	12	15	17	20	23	29
KB Copenhagen	1437	13	17.51	-4.51	12.5%	5	12	15	18	20	23	31
Koge BK	1418	9	17.23	-8.23	1.1%	4	12	15	17	20	23	31

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	KB	SKO
AB Gladsaxe	—	2-0-0 2.72	1-0-1 2.66	1-0-1 2.95	1-0-1 3.03	1-1-0 2.77	1-1-0 2.81	1-1-0 2.98	0-1-1 2.97	1-0-1 2.93
AIA Tranbjerg	0-0-2 2.66	—	0-1-1 2.64	1-1-0 2.90	0-0-2 2.88	0-1-1 2.74	0-0-2 2.85	1-1-0 2.87	2-0-0 2.93	0-2-0 2.87
Aarhus GF	1-0-1 2.72	1-1-0 2.74	—	2-0-0 2.96	1-0-1 2.94	1-0-1 2.80	2-0-0 2.90	1-1-0 2.90	2-0-0 2.99	1-0-1 2.96
B 1903	1-0-1 2.44	0-1-1 2.48	0-0-2 2.42	—	1-0-1 2.69	1-1-0 2.49	0-0-2 2.69	2-0-0 2.65	2-0-0 2.75	1-0-1 2.68
B 1909	1-0-1 2.37	2-0-0 2.50	1-0-1 2.44	1-0-1 2.68	—	0-1-1 2.53	1-1-0 2.56	0-2-0 2.61	1-1-0 2.67	0-1-1 2.62
Esbjerg	0-1-1 2.60	1-1-0 2.63	1-0-1 2.57	0-1-1 2.89	1-1-0 2.85	—	1-0-1 2.79	1-0-1 2.81	2-0-0 2.82	2-0-0 2.74
Frem	0-1-1 2.57	2-0-0 2.52	0-0-2 2.48	2-0-0 2.68	0-1-1 2.81	1-0-1 2.59	—	1-0-1 2.70	1-0-1 2.75	0-2-0 2.72
KB Copenhagen	0-1-1 2.41	0-1-1 2.51	0-1-1 2.50	0-0-2 2.72	0-2-0 2.77	1-0-1 2.56	1-0-1 2.67	—	1-1-0 2.71	0-1-1 2.62
Koge BK	1-1-0 2.41	0-0-2 2.45	0-0-2 2.42	0-0-2 2.62	0-1-1 2.69	0-0-2 2.56	1-0-1 2.63	0-1-1 2.66	—	1-0-1 2.56
Skovshoved	1-0-1 2.45	0-2-0 2.50	1-0-1 2.42	1-0-1 2.69	1-1-0 2.76	0-0-2 2.63	0-2-0 2.66	1-1-0 2.75	1-0-1 2.82	—

Goal Differential vs Points

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

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	4.44%	5.56%	2.78%	3.89%	1.67%	1.11%	19.44%
1	5.56%	10.00%	4.44%	5.00%	2.22%	2.22%	29.44%
2	2.78%	4.44%	6.67%	2.78%	1.67%	1.67%	20.00%
3	3.89%	5.00%	2.78%	3.33%	2.22%	0.56%	17.78%
4	1.67%	2.22%	1.67%	2.22%	—	—	7.78%
5+	1.11%	2.22%	1.67%	0.56%	—	—	5.56%
Total	19.44%	29.44%	20.00%	17.78%	7.78%	5.56%	100%

Summary Statistics

Mean scored	1.84
Mean allowed	1.84
StdDev scored	1.50
StdDev allowed	1.50
Mean total goals/game	3.69
Correlation (home vs away score)	-0.077
Sample size (games)	90

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	—	—	5.56%	—	5.56%
1	5.56%	11.11%	5.56%	5.56%	11.11%	—	38.89%
2	5.56%	—	11.11%	—	—	—	16.67%
3	11.11%	11.11%	5.56%	—	—	—	27.78%
4	—	—	—	—	—	—	—
5+	—	—	11.11%	—	—	—	11.11%
Total	22.22%	22.22%	33.33%	5.56%	16.67%	—	100%

AB Gladsaxe — Summary Statistics

Mean scored	2.17
Mean allowed	1.72
StdDev scored	1.54
StdDev allowed	1.36
Mean total goals/game	3.89
Correlation (scored vs allowed)	-0.284
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	11.11%	—	—	—	—	11.11%
1	5.56%	11.11%	—	5.56%	5.56%	—	27.78%
2	—	—	11.11%	5.56%	—	5.56%	22.22%
3	—	—	—	11.11%	11.11%	—	22.22%
4	5.56%	—	5.56%	—	—	—	11.11%
5+	—	5.56%	—	—	—	—	5.56%
Total	11.11%	27.78%	16.67%	22.22%	16.67%	5.56%	100%

AIA Tranbjerg — Summary Statistics

Mean scored	2.11
Mean allowed	2.22
StdDev scored	1.41
StdDev allowed	1.48
Mean total goals/game	4.33
Correlation (scored vs allowed)	0.100
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	5.56%	—	—	—	11.11%
1	—	11.11%	—	5.56%	—	—	16.67%
2	11.11%	5.56%	—	—	—	5.56%	22.22%
3	—	11.11%	5.56%	—	—	—	16.67%
4	5.56%	5.56%	5.56%	5.56%	—	—	22.22%
5+	5.56%	5.56%	—	—	—	—	11.11%
Total	22.22%	44.44%	16.67%	11.11%	—	5.56%	100%

Aarhus GF — Summary Statistics

Mean scored	2.67
Mean allowed	1.39
StdDev scored	1.81
StdDev allowed	1.29
Mean total goals/game	4.06
Correlation (scored vs allowed)	-0.218
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	—	16.67%	5.56%	—	27.78%
1	5.56%	—	11.11%	—	—	—	16.67%
2	5.56%	5.56%	5.56%	—	—	—	16.67%
3	5.56%	5.56%	—	5.56%	5.56%	—	22.22%
4	—	5.56%	—	5.56%	—	—	11.11%
5+	—	—	—	5.56%	—	—	5.56%
Total	16.67%	22.22%	16.67%	33.33%	11.11%	—	100%

B 1903 — Summary Statistics

Mean scored	1.89
Mean allowed	2.00
StdDev scored	1.60
StdDev allowed	1.33
Mean total goals/game	3.89
Correlation (scored vs allowed)	-0.083
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	5.56%	—	5.56%	—	5.56%	27.78%
1	5.56%	16.67%	5.56%	—	—	—	27.78%
2	—	5.56%	5.56%	5.56%	—	—	16.67%
3	—	—	—	—	—	—	—
4	5.56%	5.56%	—	5.56%	—	—	16.67%
5+	—	5.56%	5.56%	—	—	—	11.11%
Total	22.22%	38.89%	16.67%	16.67%	—	5.56%	100%

B 1909 — Summary Statistics

Mean scored	1.89
Mean allowed	1.61
StdDev scored	1.91
StdDev allowed	1.69
Mean total goals/game	3.50
Correlation (scored vs allowed)	-0.106
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	5.56%	5.56%	—	—	16.67%
1	5.56%	5.56%	—	5.56%	—	—	16.67%
2	—	5.56%	11.11%	5.56%	—	—	22.22%
3	5.56%	5.56%	5.56%	5.56%	—	—	22.22%
4	—	—	5.56%	5.56%	—	—	11.11%
5+	5.56%	5.56%	—	—	—	—	11.11%
Total	16.67%	27.78%	27.78%	27.78%	—	—	100%

Esbjerg — Summary Statistics

Mean scored	2.33
Mean allowed	1.67
StdDev scored	1.71
StdDev allowed	1.08
Mean total goals/game	4.00
Correlation (scored vs allowed)	-0.221
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	16.67%	—	5.56%	—	5.56%	—	27.78%
1	11.11%	5.56%	5.56%	—	—	5.56%	27.78%
2	—	—	—	11.11%	—	5.56%	16.67%
3	11.11%	11.11%	—	—	—	—	22.22%
4	—	5.56%	—	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	38.89%	22.22%	11.11%	11.11%	5.56%	11.11%	100%

Frem — Summary Statistics

Mean scored	1.50
Mean allowed	1.61
StdDev scored	1.29
StdDev allowed	1.88
Mean total goals/game	3.11
Correlation (scored vs allowed)	-0.036
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	5.56%	11.11%	—	—	22.22%
1	11.11%	22.22%	—	11.11%	—	5.56%	50.00%
2	—	—	11.11%	—	—	—	11.11%
3	—	—	5.56%	5.56%	5.56%	—	16.67%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	11.11%	27.78%	22.22%	27.78%	5.56%	5.56%	100%

KB Copenhagen — Summary Statistics

Mean scored	1.22
Mean allowed	2.06
StdDev scored	1.00
StdDev allowed	1.35
Mean total goals/game	3.28
Correlation (scored vs allowed)	0.208
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	11.11%	5.56%	—	—	5.56%	22.22%
1	5.56%	5.56%	11.11%	—	5.56%	11.11%	38.89%
2	—	—	5.56%	—	11.11%	—	16.67%
3	—	5.56%	5.56%	5.56%	—	5.56%	22.22%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	5.56%	22.22%	27.78%	5.56%	16.67%	22.22%	100%

Koge BK — Summary Statistics

Mean scored	1.39
Mean allowed	2.83
StdDev scored	1.09
StdDev allowed	1.86
Mean total goals/game	4.22
Correlation (scored vs allowed)	0.063
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	16.67%	5.56%	—	—	—	—	22.22%
1	—	11.11%	5.56%	16.67%	—	—	33.33%
2	5.56%	22.22%	5.56%	—	5.56%	—	38.89%
3	5.56%	—	—	—	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	27.78%	38.89%	11.11%	16.67%	5.56%	—	100%

Skovshoved — Summary Statistics

Mean scored	1.28
Mean allowed	1.33
StdDev scored	0.89
StdDev allowed	1.24
Mean total goals/game	2.61
Correlation (scored vs allowed)	0.124
Games played	18

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	26	19.1	+6.89
2	Esbjerg	22	18.3	+3.66
3	AB Gladsaxe	22	19.1	+2.92
4	B 1909	20	17.2	+2.81
5	B 1903	18	17.4	+0.61

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Koge BK	9	17.2	-8.23
2	AIA Tranbjerg	14	18.8	-4.75
3	KB Copenhagen	13	17.5	-4.51
4	Frem	18	17.8	+0.21
5	Skovshoved	18	17.6	+0.39

Top Streaks

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

Longest Winning Streaks

#	Team	Games	Dates	Probability
1	Frem	4	Apr 8 – May 13	1 in 78
2	Aarhus GF	4	Jan 30 – Apr 8	1 in 41
3	B 1909	3	Nov 27 – Jan 9	1 in 29
4	AB Gladsaxe	3	Sep 18 – Nov 13	1 in 25
5	Esbjerg	3	Aug 20 – Sep 18	1 in 22

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Koge BK	6	Sep 24 – Jan 30	1 in 600
2	AIA Tranbjerg	3	Apr 29 – May 27	1 in 25
3	B 1903	3	Aug 28 – Sep 25	1 in 19
4	Esbjerg	2	Jan 9 – Jan 30	1 in 9
5	KB Copenhagen	2	Aug 21 – Aug 28	1 in 9

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	B 1909	7	Aug 28 – Jan 9	1 in 27
2	Frem	6	Apr 8 – May 27	1 in 14
3	Skovshoved	5	Aug 28 – Nov 27	1 in 9
4	Aarhus GF	5	Apr 29 – Jun 10	1 in 5
5	Esbjerg	4	Mar 25 – Apr 22	1 in 5

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	Koge BK	11	Sep 24 – Apr 29	1 in 87
2	AIA Tranbjerg	8	Aug 24 – Jan 30	1 in 41
3	KB Copenhagen	9	Jan 29 – Jun 3	1 in 33
4	Esbjerg	5	Apr 29 – Jun 10	1 in 9
5	Frem	5	Aug 21 – Nov 13	1 in 8

Home-Field Advantage Edge

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

Finish Position Heatmap

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

Team	1	2	3	4	5	6	7	8	9	10
Aarhus GF	18.70%	14.39%	12.34%	11.37%	9.82%	8.73%	8.26%	6.50%	5.48%	4.41%
Esbjerg	12.22%	12.75%	11.40%	10.56%	10.10%	9.38%	9.27%	8.83%	8.33%	7.16%
AB Gladsaxe	16.36%	13.87%	12.67%	10.99%	9.88%	9.21%	7.97%	7.75%	6.35%	4.95%
B 1909	6.72%	7.48%	8.85%	9.15%	10.00%	10.19%	11.24%	11.55%	12.19%	12.63%
Skovshoved	7.75%	8.40%	9.20%	9.62%	10.25%	10.85%	10.71%	10.60%	11.02%	11.60%
B 1903	6.20%	8.07%	8.71%	9.71%	10.43%	10.33%	10.71%	11.58%	11.82%	12.44%
Frem	7.84%	9.24%	9.78%	10.24%	10.28%	10.23%	10.21%	11.04%	10.41%	10.73%
AIA Tranbjerg	12.82%	11.84%	11.26%	11.38%	10.45%	9.98%	9.23%	8.27%	7.94%	6.83%
KB Copenhagen	6.07%	7.76%	8.05%	9.02%	9.92%	10.45%	11.51%	11.02%	12.59%	13.61%
Koge BK	5.32%	6.20%	7.74%	7.96%	8.87%	10.65%	10.89%	12.86%	13.87%	15.64%

Points Required Per Position

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

Points Totals in Context

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

No Trend Data Yet

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

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
Aarhus GF	95.6%	4.4%
AB Gladsaxe	95.0%	5.0%
AIA Tranbjerg	93.2%	6.8%
Esbjerg	92.8%	7.2%
Frem	89.3%	10.7%
Skovshoved	88.4%	11.6%
B 1903	87.6%	12.4%
B 1909	87.4%	12.6%
KB Copenhagen	86.4%	13.6%
Koge BK	84.4%	15.6%

Filter by Team:

Overall Game Log

Every regular-season game from each team's perspective. Use the team filter at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
1955-08-20	Esbjerg	L 2-3	1435	1451	36.9%	31.6%	31.5%	-1.7	0
1955-08-20	@ B 1909	W 3-2	1451	1435	31.5%	31.6%	36.9%	+1.7	3
1955-08-20	Skovshoved	W 2-1	1446	1446	39.1%	31.4%	29.5%	+1.6	3
1955-08-20	@ B 1903	L 1-2	1446	1446	29.5%	31.4%	39.1%	-1.6	0
1955-08-21	Koge BK	W 4-2	1472	1452	42.3%	30.6%	27.2%	+2.3	3
1955-08-21	@ AIA Tranbjerg	L 2-4	1452	1472	27.2%	30.6%	42.3%	-2.3	0
1955-08-21	AB Gladsaxe	L 2-6	1455	1465	37.7%	31.6%	30.7%	-5.0	0
1955-08-21	@ Frem	W 6-2	1465	1455	30.7%	31.6%	37.7%	+5.0	3
1955-08-21	Aarhus GF	L 1-5	1460	1464	38.4%	31.5%	30.1%	-6.0	0
1955-08-21	@ KB Copenhagen	W 5-1	1464	1460	30.1%	31.5%	38.4%	+5.9	3
1955-08-24	Aarhus GF	D 1-1	1475	1470	39.8%	31.2%	29.0%	-0.1	4
1955-08-24	@ AIA Tranbjerg	D 1-1	1470	1475	29.0%	31.2%	39.8%	+0.1	4
1955-08-27	Koge BK	L 1-3	1470	1449	42.2%	30.6%	27.2%	-3.5	3
1955-08-27	@ AB Gladsaxe	W 3-1	1449	1470	27.2%	30.6%	42.2%	+3.5	3
1955-08-28	B 1903	W 4-3	1470	1448	42.6%	30.5%	27.0%	+1.3	7
1955-08-28	@ Aarhus GF	L 3-4	1448	1470	27.0%	30.5%	42.6%	-1.3	3
1955-08-28	KB Copenhagen	W 3-0	1452	1454	39.0%	31.4%	29.6%	+4.5	6
1955-08-28	@ Esbjerg	L 0-3	1454	1452	29.6%	31.4%	39.0%	-4.5	0
1955-08-28	B 1909	D 0-0	1450	1433	41.7%	30.8%	27.6%	-0.2	1
1955-08-28	@ Frem	D 0-0	1433	1450	27.6%	30.8%	41.7%	+0.2	1
1955-08-28	AIA Tranbjerg	D 2-2	1445	1475	34.9%	31.7%	33.4%	-0.0	1
1955-08-28	@ Skovshoved	D 2-2	1475	1445	33.4%	31.7%	34.9%	+0.0	5
1955-09-18	Skovshoved	L 0-2	1472	1445	43.2%	30.2%	26.6%	-4.1	7
1955-09-18	@ Aarhus GF	W 2-0	1445	1472	26.6%	30.2%	43.2%	+4.1	4
1955-09-18	AIA Tranbjerg	W 4-3	1457	1475	36.6%	31.7%	31.8%	+1.5	9
1955-09-18	@ Esbjerg	L 3-4	1475	1457	31.8%	31.7%	36.6%	-1.5	5
1955-09-18	AB Gladsaxe	L 0-3	1446	1466	36.2%	31.7%	32.1%	-5.2	3
1955-09-18	@ B 1903	W 3-0	1466	1446	32.1%	31.7%	36.2%	+5.2	6
1955-09-18	B 1909	D 2-2	1449	1433	41.5%	30.8%	27.7%	-0.1	1
1955-09-18	@ KB Copenhagen	D 2-2	1433	1449	27.7%	30.8%	41.5%	+0.1	2
1955-09-18	Frem	W 3-2	1453	1450	39.6%	31.3%	29.1%	+1.5	6
1955-09-18	@ Koge BK	L 2-3	1450	1453	29.1%	31.3%	39.6%	-1.5	1
1955-09-24	Koge BK	W 1-0	1449	1454	38.4%	31.5%	30.1%	+1.7	4
1955-09-24	@ KB Copenhagen	L 0-1	1454	1449	30.1%	31.5%	38.4%	-1.7	6
1955-09-25	Esbjerg	W 3-0	1472	1458	41.1%	30.9%	28.0%	+4.3	9
1955-09-25	@ AB Gladsaxe	L 0-3	1458	1472	28.0%	30.9%	41.1%	-4.3	9
1955-09-25	B 1903	W 1-0	1434	1441	38.0%	31.5%	30.4%	+1.7	5
1955-09-25	@ B 1909	L 0-1	1441	1434	30.4%	31.5%	38.0%	-1.7	3
1955-09-25	Frem	D 0-0	1449	1449	39.2%	31.4%	29.4%	-0.1	5
1955-09-25	@ Skovshoved	D 0-0	1449	1449	29.4%	31.4%	39.2%	+0.1	2
1955-11-13	AB Gladsaxe	L 2-5	1473	1476	38.7%	31.4%	29.8%	-4.0	5
1955-11-13	@ AIA Tranbjerg	W 5-2	1476	1473	29.8%	31.4%	38.7%	+4.0	12
1955-11-13	Frem	W 5-1	1454	1449	40.0%	31.2%	28.8%	+4.8	12
1955-11-13	@ Esbjerg	L 1-5	1449	1454	28.8%	31.2%	40.0%	-4.8	2
1955-11-13	B 1903	L 1-3	1451	1439	40.8%	31.0%	28.2%	-3.4	4
1955-11-13	@ KB Copenhagen	W 3-1	1439	1451	28.2%	31.0%	40.8%	+3.4	6
1955-11-13	Aarhus GF	L 2-4	1453	1468	37.0%	31.6%	31.4%	-2.8	6
1955-11-13	@ Koge BK	W 4-2	1468	1453	31.4%	31.6%	37.0%	+2.8	10
1955-11-13	B 1909	D 0-0	1449	1435	41.2%	30.9%	27.9%	-0.1	6
1955-11-13	@ Skovshoved	D 0-0	1435	1449	27.9%	30.9%	41.2%	+0.1	6
1955-11-27	Skovshoved	L 1-2	1480	1449	43.9%	30.0%	26.1%	-2.1	12
1955-11-27	@ AB Gladsaxe	W 2-1	1449	1480	26.1%	30.0%	43.9%	+2.1	9
1955-11-27	KB Copenhagen	D 2-2	1469	1447	42.4%	30.5%	27.1%	-0.1	6
1955-11-27	@ AIA Tranbjerg	D 2-2	1447	1469	27.1%	30.5%	42.4%	+0.1	5
1955-11-27	Aarhus GF	W 5-2	1435	1471	34.1%	31.6%	34.2%	+3.7	9
1955-11-27	@ B 1909	L 2-5	1471	1435	34.2%	31.6%	34.1%	-3.7	10
1955-11-27	B 1903	W 3-0	1444	1443	39.3%	31.3%	29.4%	+4.5	5
1955-11-27	@ Frem	L 0-3	1443	1444	29.4%	31.3%	39.3%	-4.5	6
1955-11-27	Esbjerg	L 1-2	1450	1459	37.8%	31.6%	30.6%	-1.9	6
1955-11-27	@ Koge BK	W 2-1	1459	1450	30.6%	31.6%	37.8%	+1.9	15
1955-12-04	Frem	W 4-0	1467	1448	41.9%	30.7%	27.4%	+5.6	13
1955-12-04	@ Aarhus GF	L 0-4	1448	1467	27.4%	30.7%	41.9%	-5.6	5
1955-12-04	KB Copenhagen	W 2-0	1478	1447	43.8%	30.0%	26.2%	+2.8	15
1955-12-04	@ AB Gladsaxe	L 0-2	1447	1478	26.2%	30.0%	43.8%	-2.8	5
1955-12-04	Koge BK	W 6-1	1439	1448	37.9%	31.6%	30.6%	+6.2	12
1955-12-04	@ B 1909	L 1-6	1448	1439	30.6%	31.6%	37.9%	-6.2	6
1955-12-04	Skovshoved	W 3-1	1461	1451	40.6%	31.0%	28.3%	+2.6	18
1955-12-04	@ Esbjerg	L 1-3	1451	1461	28.3%	31.0%	40.6%	-2.6	9
1955-12-04	AIA Tranbjerg	D 3-3	1438	1469	34.8%	31.6%	33.6%	-0.0	7
1955-12-04	@ B 1903	D 3-3	1469	1438	33.6%	31.6%	34.8%	+0.0	7
1956-01-09	Aarhus GF	W 3-1	1481	1472	40.4%	31.1%	28.5%	+2.6	18
1956-01-09	@ AB Gladsaxe	L 1-3	1472	1481	28.5%	31.1%	40.4%	-2.6	13
1956-01-09	B 1909	L 3-4	1469	1445	42.7%	30.4%	26.9%	-1.9	7
1956-01-09	@ AIA Tranbjerg	W 4-3	1445	1469	26.9%	30.4%	42.7%	+1.9	15
1956-01-09	B 1903	L 0-2	1463	1438	42.9%	30.3%	26.7%	-4.1	18
1956-01-09	@ Esbjerg	W 2-0	1438	1463	26.7%	30.3%	42.9%	+4.0	10
1956-01-09	KB Copenhagen	L 2-3	1443	1444	38.9%	31.4%	29.7%	-1.8	5
1956-01-09	@ Frem	W 3-2	1444	1443	29.7%	31.4%	38.9%	+1.8	8
1956-01-09	Skovshoved	L 1-2	1442	1448	38.2%	31.5%	30.3%	-1.9	6
1956-01-09	@ Koge BK	W 2-1	1448	1442	30.3%	31.5%	38.2%	+1.9	12
1956-01-29	KB Copenhagen	W 3-0	1450	1446	39.7%	31.3%	29.0%	+4.5	15
1956-01-29	@ Skovshoved	L 0-3	1446	1450	29.0%	31.3%	39.7%	-4.5	8
1956-01-30	Esbjerg	W 3-2	1470	1459	40.7%	31.0%	28.3%	+1.4	16
1956-01-30	@ Aarhus GF	L 2-3	1459	1470	28.3%	31.0%	40.7%	-1.4	18
1956-01-30	AB Gladsaxe	L 0-1	1447	1483	34.0%	31.6%	34.4%	-1.8	15
1956-01-30	@ B 1909	W 1-0	1483	1447	34.4%	31.6%	34.0%	+1.8	21
1956-01-30	Koge BK	W 5-3	1442	1440	39.5%	31.3%	29.2%	+2.3	13
1956-01-30	@ B 1903	L 3-5	1440	1442	29.2%	31.3%	39.5%	-2.3	6
1956-01-30	AIA Tranbjerg	W 1-0	1441	1467	35.4%	31.7%	32.9%	+1.8	8
1956-01-30	@ Frem	L 0-1	1467	1441	32.9%	31.7%	35.4%	-1.8	7
1956-03-24	Frem	L 0-3	1445	1443	39.4%	31.3%	29.3%	-5.6	13
1956-03-24	@ B 1903	W 3-0	1443	1445	29.3%	31.3%	39.4%	+5.6	11
1956-03-25	B 1909	W 7-0	1471	1445	43.1%	30.3%	26.7%	+9.2	19
1956-03-25	@ Aarhus GF	L 0-7	1445	1471	26.7%	30.3%	43.1%	-9.2	15
1956-03-25	AIA Tranbjerg	L 0-1	1442	1465	35.8%	31.7%	32.6%	-1.9	8
1956-03-25	@ KB Copenhagen	W 1-0	1465	1442	32.6%	31.7%	35.8%	+1.9	10
1956-03-25	AB Gladsaxe	D 2-2	1438	1485	32.5%	31.3%	36.1%	+0.0	7
1956-03-25	@ Koge BK	D 2-2	1485	1438	36.1%	31.3%	32.5%	-0.0	22
1956-03-25	Esbjerg	L 2-4	1454	1458	38.6%	31.5%	29.9%	-2.9	15
1956-03-25	@ Skovshoved	W 4-2	1458	1454	29.9%	31.5%	38.6%	+2.9	21
1956-04-01	Skovshoved	D 1-1	1467	1452	41.5%	30.8%	27.7%	-0.1	11
1956-04-01	@ AIA Tranbjerg	D 1-1	1452	1467	27.7%	30.8%	41.5%	+0.1	16
1956-04-02	B 1903	L 1-4	1485	1439	46.2%	29.0%	24.8%	-5.2	22
1956-04-02	@ AB Gladsaxe	W 4-1	1439	1485	24.8%	29.0%	46.2%	+5.2	16
1956-04-02	KB Copenhagen	D 1-1	1436	1440	38.6%	31.5%	29.9%	-0.1	16
1956-04-02	@ B 1909	D 1-1	1440	1436	29.9%	31.5%	38.6%	+0.1	9
1956-04-02	Koge BK	W 6-0	1461	1438	42.6%	30.4%	26.9%	+8.0	24
1956-04-02	@ Esbjerg	L 0-6	1438	1461	26.9%	30.4%	42.6%	-8.0	7
1956-04-02	Aarhus GF	L 0-2	1448	1480	34.6%	31.6%	33.8%	-3.5	11
1956-04-02	@ Frem	W 2-0	1480	1448	33.8%	31.6%	34.6%	+3.5	22
1956-04-07	AB Gladsaxe	L 1-3	1452	1480	35.1%	31.7%	33.2%	-3.0	16
1956-04-07	@ Skovshoved	W 3-1	1480	1452	33.2%	31.7%	35.1%	+3.1	25
1956-04-08	AIA Tranbjerg	W 3-1	1484	1467	41.7%	30.8%	27.6%	+2.5	25
1956-04-08	@ Aarhus GF	L 1-3	1467	1484	27.6%	30.8%	41.7%	-2.5	11
1956-04-08	Esbjerg	D 2-2	1444	1469	35.6%	31.7%	32.7%	-0.0	17
1956-04-08	@ B 1903	D 2-2	1469	1444	32.7%	31.7%	35.6%	+0.0	25
1956-04-08	Frem	L 1-3	1440	1445	38.4%	31.5%	30.1%	-3.3	9
1956-04-08	@ KB Copenhagen	W 3-1	1445	1440	30.1%	31.5%	38.4%	+3.3	14
1956-04-08	B 1909	D 1-1	1430	1436	38.2%	31.5%	30.3%	-0.1	8
1956-04-08	@ Koge BK	D 1-1	1436	1430	30.3%	31.5%	38.2%	+0.1	17
1956-04-21	Koge BK	W 4-1	1448	1430	41.9%	30.7%	27.4%	+3.6	17
1956-04-21	@ Frem	L 1-4	1430	1448	27.4%	30.7%	41.9%	-3.6	8
1956-04-22	B 1909	L 0-4	1483	1436	46.3%	28.9%	24.8%	-8.1	25
1956-04-22	@ AB Gladsaxe	W 4-0	1436	1483	24.8%	28.9%	46.3%	+8.1	20
1956-04-22	B 1903	W 4-0	1465	1444	42.2%	30.6%	27.2%	+5.5	14
1956-04-22	@ AIA Tranbjerg	L 0-4	1444	1465	27.2%	30.6%	42.2%	-5.5	17
1956-04-22	Aarhus GF	W 1-0	1469	1486	36.6%	31.7%	31.7%	+1.7	28
1956-04-22	@ Esbjerg	L 0-1	1486	1469	31.7%	31.7%	36.6%	-1.7	25
1956-04-22	Skovshoved	D 1-1	1437	1449	37.4%	31.6%	31.0%	-0.1	10
1956-04-22	@ KB Copenhagen	D 1-1	1449	1437	31.0%	31.6%	37.4%	+0.1	17
1956-04-29	KB Copenhagen	D 1-1	1485	1437	46.5%	28.8%	24.7%	-0.2	26
1956-04-29	@ Aarhus GF	D 1-1	1437	1485	24.7%	28.8%	46.5%	+0.2	11
1956-04-29	AIA Tranbjerg	W 3-2	1475	1470	39.9%	31.2%	28.9%	+1.5	28
1956-04-29	@ AB Gladsaxe	L 2-3	1470	1475	28.9%	31.2%	39.9%	-1.5	14
1956-04-29	Skovshoved	L 1-2	1444	1449	38.5%	31.5%	30.0%	-1.9	20
1956-04-29	@ B 1909	W 2-1	1449	1444	30.0%	31.5%	38.5%	+1.9	20
1956-04-29	Esbjerg	W 3-1	1452	1471	36.4%	31.7%	31.9%	+2.9	20
1956-04-29	@ Frem	L 1-3	1471	1452	31.9%	31.7%	36.4%	-2.9	28
1956-04-29	B 1903	L 0-1	1426	1439	37.3%	31.6%	31.1%	-2.0	8
1956-04-29	@ Koge BK	W 1-0	1439	1426	31.1%	31.6%	37.3%	+2.0	20
1956-05-12	Koge BK	L 0-1	1451	1424	43.2%	30.2%	26.6%	-2.2	20
1956-05-12	@ Skovshoved	W 1-0	1424	1451	26.6%	30.2%	43.2%	+2.2	11
1956-05-13	Frem	L 0-1	1469	1455	41.2%	30.9%	27.9%	-2.1	14
1956-05-13	@ AIA Tranbjerg	W 1-0	1455	1469	27.9%	30.9%	41.2%	+2.1	23
1956-05-13	B 1909	D 1-1	1468	1442	43.0%	30.3%	26.7%	-0.2	29
1956-05-13	@ Esbjerg	D 1-1	1442	1468	26.7%	30.3%	43.0%	+0.2	21
1956-05-13	Aarhus GF	L 1-2	1441	1485	33.0%	31.4%	35.6%	-1.7	20
1956-05-13	@ B 1903	W 2-1	1485	1441	35.6%	31.4%	33.0%	+1.7	29
1956-05-13	AB Gladsaxe	D 1-1	1437	1476	33.6%	31.5%	34.9%	+0.0	12
1956-05-13	@ KB Copenhagen	D 1-1	1476	1437	34.9%	31.5%	33.6%	-0.0	29
1956-05-17	Frem	D 1-1	1476	1457	42.1%	30.6%	27.3%	-0.1	30
1956-05-17	@ AB Gladsaxe	D 1-1	1457	1476	27.3%	30.6%	42.1%	+0.2	24
1956-05-27	Koge BK	W 2-0	1486	1426	48.4%	27.8%	23.8%	+2.5	32
1956-05-27	@ Aarhus GF	L 0-2	1426	1486	23.8%	27.8%	48.4%	-2.5	11
1956-05-27	AIA Tranbjerg	W 4-1	1442	1466	35.7%	31.7%	32.6%	+4.1	24
1956-05-27	@ B 1909	L 1-4	1466	1442	32.6%	31.7%	35.7%	-4.1	14
1956-05-27	AB Gladsaxe	D 2-2	1468	1476	37.9%	31.6%	30.6%	-0.1	30
1956-05-27	@ Esbjerg	D 2-2	1476	1468	30.6%	31.6%	37.9%	+0.0	31
1956-05-27	KB Copenhagen	W 4-3	1439	1437	39.5%	31.3%	29.2%	+1.4	23
1956-05-27	@ B 1903	L 3-4	1437	1439	29.2%	31.3%	39.5%	-1.4	12
1956-05-27	Skovshoved	D 0-0	1457	1448	40.4%	31.1%	28.5%	-0.1	25
1956-05-27	@ Frem	D 0-0	1448	1457	28.5%	31.1%	40.4%	+0.1	21
1956-06-03	Esbjerg	D 3-3	1462	1468	38.4%	31.5%	30.1%	-0.1	15
1956-06-03	@ AIA Tranbjerg	D 3-3	1468	1462	30.1%	31.5%	38.4%	+0.0	31
1956-06-03	B 1909	W 3-0	1440	1447	38.2%	31.5%	30.2%	+4.6	26
1956-06-03	@ B 1903	L 0-3	1447	1440	30.2%	31.5%	38.2%	-4.6	24
1956-06-03	KB Copenhagen	D 3-3	1424	1435	37.4%	31.6%	31.0%	-0.0	12
1956-06-03	@ Koge BK	D 3-3	1435	1424	31.0%	31.6%	37.4%	+0.0	13
1956-06-03	Aarhus GF	L 1-3	1449	1489	33.5%	31.5%	35.0%	-3.0	21
1956-06-03	@ Skovshoved	W 3-1	1489	1449	35.0%	31.5%	33.5%	+3.0	35
1956-06-09	B 1903	W 2-1	1446	1445	39.2%	31.4%	29.4%	+1.6	24
1956-06-09	@ Skovshoved	L 1-2	1445	1446	29.4%	31.4%	39.2%	-1.5	26
1956-06-10	AB Gladsaxe	W 4-1	1492	1476	41.5%	30.8%	27.7%	+3.6	38
1956-06-10	@ Aarhus GF	L 1-4	1476	1492	27.7%	30.8%	41.5%	-3.6	31
1956-06-10	Frem	W 2-1	1442	1457	37.0%	31.6%	31.3%	+1.6	27
1956-06-10	@ B 1909	L 1-2	1457	1442	31.3%	31.6%	37.0%	-1.6	25
1956-06-10	Esbjerg	W 1-0	1436	1468	34.6%	31.6%	33.8%	+1.8	16
1956-06-10	@ KB Copenhagen	L 0-1	1468	1436	33.8%	31.6%	34.6%	-1.8	31
1956-06-10	AIA Tranbjerg	L 1-5	1424	1462	33.7%	31.5%	34.8%	-5.4	12
1956-06-10	@ Koge BK	W 5-1	1462	1424	34.8%	31.5%	33.7%	+5.4	18

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
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	1956-04-22	24.77%	B 1909	1436	4	@ AB Gladsaxe	1483	0
2	1956-04-02	24.83%	B 1903	1439	4	@ AB Gladsaxe	1485	1
3	1955-11-27	26.14%	Skovshoved	1449	2	@ AB Gladsaxe	1480	1
4	1955-09-18	26.56%	Skovshoved	1445	2	@ Aarhus GF	1472	0
5	1956-05-12	26.59%	Koge BK	1424	1	@ Skovshoved	1451	0
6	1956-01-09	26.73%	B 1903	1438	2	@ Esbjerg	1463	0
7	1956-01-09	26.88%	B 1909	1445	4	@ AIA Tranbjerg	1469	3
8	1955-08-27	27.21%	Koge BK	1449	3	@ AB Gladsaxe	1470	1
9	1956-05-13	27.88%	Frem	1455	1	@ AIA Tranbjerg	1469	0
10	1955-11-13	28.19%	B 1903	1439	3	@ KB Copenhagen	1451	1
11	1956-03-24	29.26%	Frem	1443	3	@ B 1903	1445	0
12	1956-01-09	29.69%	KB Copenhagen	1444	3	@ Frem	1443	2
13	1955-11-13	29.83%	AB Gladsaxe	1476	5	@ AIA Tranbjerg	1473	2
14	1956-03-25	29.90%	Esbjerg	1458	4	@ Skovshoved	1454	2
15	1956-04-29	30.03%	Skovshoved	1449	2	@ B 1909	1444	1
16	1956-04-08	30.07%	Frem	1445	3	@ KB Copenhagen	1440	1
17	1955-08-21	30.08%	Aarhus GF	1464	5	@ KB Copenhagen	1460	1
18	1956-01-09	30.26%	Skovshoved	1448	2	@ Koge BK	1442	1
19	1955-11-27	30.61%	Esbjerg	1459	2	@ Koge BK	1450	1
20	1955-08-21	30.69%	AB Gladsaxe	1465	6	@ Frem	1455	2
21	1956-04-29	31.08%	B 1903	1439	1	@ Koge BK	1426	0
22	1955-11-13	31.39%	Aarhus GF	1468	4	@ Koge BK	1453	2
23	1955-08-20	31.46%	Esbjerg	1451	3	@ B 1909	1435	2
24	1955-09-18	32.07%	AB Gladsaxe	1466	3	@ B 1903	1446	0
25	1956-03-25	32.55%	AIA Tranbjerg	1465	1	@ KB Copenhagen	1442	0

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1956-03-25	9.21	@ Aarhus GF	7	1471	43.06%	B 1909	0	1445	26.66%
2	1956-04-22	8.10	B 1909	4	1436	24.77%	@ AB Gladsaxe	0	1483	46.33%
3	1956-04-02	8.03	@ Esbjerg	6	1461	42.64%	Koge BK	0	1438	26.93%
4	1955-12-04	6.21	@ B 1909	6	1439	37.85%	Koge BK	1	1448	30.58%
5	1955-08-21	5.95	Aarhus GF	5	1464	30.08%	@ KB Copenhagen	1	1460	38.43%
6	1955-12-04	5.58	@ Aarhus GF	4	1467	41.93%	Frem	0	1448	27.40%
7	1956-03-24	5.56	Frem	3	1443	29.26%	@ B 1903	0	1445	39.42%
8	1956-04-22	5.54	@ AIA Tranbjerg	4	1465	42.19%	B 1903	0	1444	27.22%
9	1956-06-10	5.42	AIA Tranbjerg	5	1462	34.80%	@ Koge BK	1	1424	33.66%
10	1955-09-18	5.25	AB Gladsaxe	3	1466	32.07%	@ B 1903	0	1446	36.25%
11	1956-04-02	5.21	B 1903	4	1439	24.83%	@ AB Gladsaxe	1	1485	46.20%
12	1955-08-21	4.99	AB Gladsaxe	6	1465	30.69%	@ Frem	2	1455	37.73%
13	1955-11-13	4.84	@ Esbjerg	5	1454	39.95%	Frem	1	1449	28.84%
14	1956-06-03	4.62	@ B 1903	3	1440	38.24%	B 1909	0	1447	30.24%
15	1955-08-28	4.54	@ Esbjerg	3	1452	38.97%	KB Copenhagen	0	1454	29.62%
16	1955-11-27	4.51	@ Frem	3	1444	39.30%	B 1903	0	1443	29.36%
17	1956-01-29	4.48	@ Skovshoved	3	1450	39.70%	KB Copenhagen	0	1446	29.04%
18	1955-09-25	4.34	@ AB Gladsaxe	3	1472	41.12%	Esbjerg	0	1458	27.97%
19	1956-05-27	4.11	@ B 1909	4	1442	35.69%	AIA Tranbjerg	1	1466	32.62%
20	1955-09-18	4.07	Skovshoved	2	1445	26.56%	@ Aarhus GF	0	1472	43.21%
21	1956-01-09	4.06	B 1903	2	1438	26.73%	@ Esbjerg	0	1463	42.93%
22	1955-11-13	4.02	AB Gladsaxe	5	1476	29.83%	@ AIA Tranbjerg	2	1473	38.73%
23	1955-11-27	3.68	@ B 1909	5	1435	34.14%	Aarhus GF	2	1471	34.25%
24	1956-06-10	3.63	@ Aarhus GF	4	1492	41.46%	AB Gladsaxe	1	1476	27.73%
25	1956-04-21	3.60	@ Frem	4	1448	41.92%	Koge BK	1	1430	27.40%