1945-46 1st Division Season

90 games · 100,000 simulations

Final

Champion

B.93

28 points

Relegated

No relegation

Biggest Overachiever

B.93

9.38 points above expected

28 points · 18.62 expected points

Biggest Disappointment

B 1909

4.79 points below expected

13 points · 17.79 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.93	18	13	2	3	28	61	29	+32	18.6	+9.38
2	KB Copenhagen	18	11	2	5	24	48	22	+26	18.9	+5.11
3	AB Gladsaxe	18	8	5	5	21	42	33	+9	18.0	+2.96
4	Frem	18	8	2	8	18	41	37	+4	18.3	-0.32
5	Fremad Amager	18	6	5	7	17	27	37	-10	17.8	-0.83
6	B 1903	18	6	4	8	16	31	34	-3	18.1	-2.09
7	Koge BK	18	6	3	9	15	35	48	-13	17.6	-2.61
8	Aarhus GF	18	6	2	10	14	26	42	-16	17.6	-3.62
9	Aalborg	18	6	2	10	14	19	38	-19	17.2	-3.20
10	B 1909	18	4	5	9	13	27	37	-10	17.8	-4.79

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
B.93	1461	28	18.62	+9.38	99.7%	5	13	16	19	21	25	31
KB Copenhagen	1454	24	18.89	+5.11	93.4%	5	13	16	19	21	25	32
AB Gladsaxe	1436	21	18.04	+2.96	82.4%	4	12	16	18	21	24	30
Frem	1434	18	18.32	-0.32	52.0%	5	12	16	18	21	24	33
B 1903	1427	16	18.09	-2.09	33.4%	3	12	16	18	21	24	31
B 1909	1422	13	17.79	-4.79	12.2%	6	12	15	18	20	24	33
Fremad Amager	1421	17	17.83	-0.83	46.8%	4	12	15	18	20	24	34
Koge BK	1420	15	17.61	-2.61	29.6%	4	12	15	18	20	24	33
Aarhus GF	1414	14	17.62	-3.62	20.1%	5	12	15	18	20	24	31
Aalborg	1413	14	17.20	-3.20	23.5%	5	11	15	17	20	23	32

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	AAL	AG	B1	B1	B.9	FRE	FA	KC	KB
AB Gladsaxe	—	1-0-1 2.88	2-0-0 2.81	1-0-1 2.82	1-1-0 2.83	1-1-0 2.69	0-0-2 2.74	1-1-0 2.83	0-1-1 2.71	1-1-0 2.86
Aalborg	1-0-1 2.68	—	1-0-1 2.74	1-0-1 2.66	0-1-1 2.74	1-0-1 2.45	1-1-0 2.59	0-0-2 2.72	0-0-2 2.59	1-0-1 2.76
Aarhus GF	0-0-2 2.75	1-0-1 2.82	—	1-0-1 2.69	0-1-1 2.75	0-0-2 2.70	2-0-0 2.65	0-1-1 2.80	1-0-1 2.47	1-0-1 2.78
B 1903	1-0-1 2.74	1-0-1 2.90	1-0-1 2.88	—	1-1-0 2.81	0-0-2 2.67	0-0-2 2.77	0-2-0 2.84	1-0-1 2.65	1-1-0 2.86
B 1909	0-1-1 2.73	1-1-0 2.82	1-1-0 2.81	0-1-1 2.75	—	0-0-2 2.71	1-0-1 2.71	1-0-1 2.78	0-0-2 2.66	0-1-1 2.81
B.93	0-1-1 2.86	1-0-1 3.12	2-0-0 2.85	2-0-0 2.88	2-0-0 2.85	—	2-0-0 2.83	2-0-0 2.90	0-1-1 2.82	2-0-0 2.83
Frem	2-0-0 2.82	0-1-1 2.97	0-0-2 2.91	2-0-0 2.79	1-0-1 2.85	0-0-2 2.73	—	1-1-0 2.83	0-0-2 2.73	2-0-0 2.85
Fremad Amager	0-1-1 2.73	2-0-0 2.84	1-1-0 2.76	0-2-0 2.72	1-0-1 2.78	0-0-2 2.66	0-1-1 2.72	—	1-0-1 2.61	1-0-1 2.81
KB Copenhagen	1-1-0 2.86	2-0-0 2.98	1-0-1 3.10	1-0-1 2.90	2-0-0 2.90	1-1-0 2.74	2-0-0 2.83	1-0-1 2.96	—	0-0-2 3.02
Koge BK	0-1-1 2.70	1-0-1 2.80	1-0-1 2.77	0-1-1 2.70	1-1-0 2.74	0-0-2 2.73	0-0-2 2.71	1-0-1 2.75	2-0-0 2.55	—

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	1.11%	5.00%	5.00%	1.11%	4.44%	1.67%	18.33%
1	5.00%	5.56%	7.78%	4.44%	1.11%	0.56%	24.44%
2	5.00%	7.78%	8.89%	2.78%	2.22%	2.78%	29.44%
3	1.11%	4.44%	2.78%	2.22%	—	0.56%	11.11%
4	4.44%	1.11%	2.22%	—	—	1.67%	9.44%
5+	1.67%	0.56%	2.78%	0.56%	1.67%	—	7.22%
Total	18.33%	24.44%	29.44%	11.11%	9.44%	7.22%	100%

Summary Statistics

Mean scored	1.98
Mean allowed	1.98
StdDev scored	1.67
StdDev allowed	1.67
Mean total goals/game	3.97
Correlation (home vs away score)	-0.095
Sample size (games)	90

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

AB Gladsaxe — Summary Statistics

Mean scored	2.33
Mean allowed	1.83
StdDev scored	1.88
StdDev allowed	1.29
Mean total goals/game	4.17
Correlation (scored vs allowed)	0.024
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	11.11%	22.22%	—	5.56%	5.56%	44.44%
1	—	11.11%	—	—	5.56%	5.56%	22.22%
2	5.56%	11.11%	—	—	—	—	16.67%
3	—	11.11%	5.56%	—	—	—	16.67%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	5.56%	44.44%	27.78%	—	11.11%	11.11%	100%

Aalborg — Summary Statistics

Mean scored	1.06
Mean allowed	2.11
StdDev scored	1.16
StdDev allowed	1.78
Mean total goals/game	3.17
Correlation (scored vs allowed)	-0.373
Games played	18

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

Aarhus GF — Summary Statistics

Mean scored	1.44
Mean allowed	2.33
StdDev scored	0.98
StdDev allowed	2.09
Mean total goals/game	3.78
Correlation (scored vs allowed)	-0.220
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%	11.11%	—	—	22.22%
2	5.56%	11.11%	16.67%	5.56%	5.56%	—	44.44%
3	—	5.56%	—	—	—	—	5.56%
4	5.56%	5.56%	—	—	—	—	11.11%
5+	—	—	—	—	—	—	—
Total	11.11%	33.33%	22.22%	22.22%	11.11%	—	100%

B 1903 — Summary Statistics

Mean scored	1.72
Mean allowed	1.89
StdDev scored	1.18
StdDev allowed	1.23
Mean total goals/game	3.61
Correlation (scored vs allowed)	-0.509
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	—	5.56%	—	—	—	11.11%
1	—	5.56%	22.22%	5.56%	—	—	33.33%
2	11.11%	11.11%	11.11%	5.56%	—	11.11%	50.00%
3	—	—	—	5.56%	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	16.67%	16.67%	38.89%	16.67%	—	11.11%	100%

B 1909 — Summary Statistics

Mean scored	1.50
Mean allowed	2.06
StdDev scored	0.79
StdDev allowed	1.59
Mean total goals/game	3.56
Correlation (scored vs allowed)	0.259
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%
2	5.56%	—	5.56%	—	—	—	11.11%
3	5.56%	—	5.56%	5.56%	—	—	16.67%
4	11.11%	—	11.11%	—	—	—	22.22%
5+	5.56%	—	11.11%	5.56%	5.56%	—	27.78%
Total	33.33%	5.56%	38.89%	11.11%	11.11%	—	100%

B.93 — Summary Statistics

Mean scored	3.39
Mean allowed	1.61
StdDev scored	2.38
StdDev allowed	1.38
Mean total goals/game	5.00
Correlation (scored vs allowed)	-0.041
Games played	18

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

Frem — Summary Statistics

Mean scored	2.28
Mean allowed	2.06
StdDev scored	1.67
StdDev allowed	2.10
Mean total goals/game	4.33
Correlation (scored vs allowed)	-0.055
Games played	18

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

Fremad Amager — Summary Statistics

Mean scored	1.50
Mean allowed	2.06
StdDev scored	1.04
StdDev allowed	1.83
Mean total goals/game	3.56
Correlation (scored vs allowed)	0.077
Games played	18

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

KB Copenhagen — Summary Statistics

Mean scored	2.67
Mean allowed	1.22
StdDev scored	2.43
StdDev allowed	1.22
Mean total goals/game	3.89
Correlation (scored vs allowed)	0.106
Games played	18

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	—	—	11.11%	—	11.11%
1	5.56%	—	11.11%	5.56%	—	—	22.22%
2	5.56%	5.56%	16.67%	5.56%	—	11.11%	44.44%
3	—	5.56%	5.56%	—	—	—	11.11%
4	—	—	—	—	—	5.56%	5.56%
5+	—	—	5.56%	—	—	—	5.56%
Total	11.11%	11.11%	38.89%	11.11%	11.11%	16.67%	100%

Koge BK — Summary Statistics

Mean scored	1.94
Mean allowed	2.67
StdDev scored	1.26
StdDev allowed	1.91
Mean total goals/game	4.61
Correlation (scored vs allowed)	0.016
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	B.93	28	18.6	+9.38
2	KB Copenhagen	24	18.9	+5.11
3	AB Gladsaxe	21	18.0	+2.96
4	Frem	18	18.3	-0.32
5	Fremad Amager	17	17.8	-0.83

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	B 1909	13	17.8	-4.79
2	Aarhus GF	14	17.6	-3.62
3	Aalborg	14	17.2	-3.20
4	Koge BK	15	17.6	-2.61
5	B 1903	16	18.1	-2.09

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	KB Copenhagen	6	Aug 19 – Nov 18	1 in 393
2	Frem	4	Aug 17 – Oct 7	1 in 43
3	B.93	4	Sep 16 – Nov 11	1 in 33
4	Fremad Amager	3	Sep 30 – Oct 21	1 in 21
5	Koge BK	2	Apr 19 – Apr 22	1 in 8

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Koge BK	4	Sep 16 – Oct 28	1 in 60
2	Aarhus GF	4	Aug 12 – Oct 21	1 in 45
3	B 1909	4	Oct 7 – Nov 25	1 in 44
4	Aalborg	4	Oct 28 – Nov 25	1 in 41
5	KB Copenhagen	3	Apr 13 – Apr 19	1 in 29

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	B.93	8	Sep 16 – Apr 14	1 in 39
2	KB Copenhagen	6	Aug 19 – Nov 18	1 in 23
3	Fremad Amager	5	Mar 24 – Apr 19	1 in 15
4	AB Gladsaxe	5	Oct 21 – Dec 2	1 in 13
5	Aalborg	4	Apr 28 – May 19	1 in 9

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	B 1909	7	Sep 2 – Nov 25	1 in 29
2	Koge BK	6	Aug 12 – Oct 28	1 in 23
3	Fremad Amager	6	Apr 19 – May 12	1 in 22
4	B 1903	5	Apr 22 – Jun 1	1 in 11
5	Aarhus GF	4	Aug 12 – Oct 21	1 in 7

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
B.93	14.24%	13.29%	12.41%	11.54%	10.21%	9.12%	8.34%	7.71%	6.99%	6.15%
KB Copenhagen	16.51%	13.42%	12.04%	10.96%	10.25%	9.01%	8.13%	7.48%	6.88%	5.32%
AB Gladsaxe	10.74%	10.26%	11.11%	10.02%	10.25%	10.50%	10.18%	9.47%	9.08%	8.39%
Frem	11.36%	11.06%	11.03%	10.89%	10.50%	10.46%	9.62%	9.34%	8.17%	7.57%
Fremad Amager	7.91%	9.45%	9.36%	9.77%	9.72%	10.35%	10.64%	11.19%	10.59%	11.02%
B 1903	10.09%	10.70%	10.20%	10.46%	10.11%	9.85%	10.49%	9.44%	9.38%	9.28%
Koge BK	8.11%	8.12%	8.45%	9.63%	9.45%	10.15%	9.98%	11.35%	12.43%	12.33%
Aarhus GF	7.00%	7.43%	8.97%	8.98%	10.14%	10.40%	10.96%	11.26%	12.00%	12.86%
Aalborg	5.86%	7.01%	7.31%	8.28%	9.43%	10.08%	10.82%	11.89%	13.62%	15.70%
B 1909	8.18%	9.26%	9.12%	9.47%	9.94%	10.08%	10.84%	10.87%	10.86%	11.38%

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
KB Copenhagen	94.7%	5.3%
B.93	93.8%	6.2%
Frem	92.4%	7.6%
AB Gladsaxe	91.6%	8.4%
B 1903	90.7%	9.3%
Fremad Amager	89.0%	11.0%
B 1909	88.6%	11.4%
Koge BK	87.7%	12.3%
Aarhus GF	87.1%	12.9%
Aalborg	84.3%	15.7%

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
1945-08-12	Aarhus GF	W 2-1	1430	1430	45.4%	22.1%	32.5%	+1.0	3
1945-08-12	@ B 1909	L 1-2	1430	1430	32.5%	22.1%	45.4%	-1.0	0
1945-08-12	Koge BK	W 6-4	1430	1430	45.4%	22.1%	32.5%	+1.4	3
1945-08-12	@ B.93	L 4-6	1430	1430	32.5%	22.1%	45.4%	-1.4	0
1945-08-17	Frem	L 2-4	1430	1430	45.4%	22.1%	32.5%	-2.0	0
1945-08-17	@ B 1903	W 4-2	1430	1430	32.5%	22.1%	45.4%	+2.0	3
1945-08-19	B 1909	L 0-2	1430	1431	45.3%	22.1%	32.6%	-2.6	0
1945-08-19	@ Aalborg	W 2-0	1431	1430	32.6%	22.1%	45.3%	+2.6	6
1945-08-19	KB Copenhagen	L 2-4	1430	1430	45.4%	22.1%	32.5%	-2.0	0
1945-08-19	@ AB Gladsaxe	W 4-2	1430	1430	32.5%	22.1%	45.4%	+2.0	3
1945-08-19	B.93	L 0-2	1430	1432	45.2%	22.1%	32.7%	-2.6	0
1945-08-19	@ Fremad Amager	W 2-0	1432	1430	32.7%	22.1%	45.2%	+2.6	6
1945-08-28	Fremad Amager	W 3-0	1432	1428	46.1%	22.0%	31.9%	+2.9	6
1945-08-28	@ Frem	L 0-3	1428	1432	31.9%	22.0%	46.1%	-2.9	0
1945-08-29	B.93	W 4-0	1432	1434	45.1%	22.1%	32.8%	+3.8	6
1945-08-29	@ KB Copenhagen	L 0-4	1434	1432	32.8%	22.1%	45.1%	-3.8	6
1945-09-02	B 1909	D 2-2	1429	1434	44.7%	22.2%	33.1%	-0.0	1
1945-09-02	@ Koge BK	D 2-2	1434	1429	33.1%	22.2%	44.7%	+0.1	7
1945-09-16	B 1903	L 1-2	1429	1428	45.5%	22.1%	32.4%	-1.3	0
1945-09-16	@ Aarhus GF	W 2-1	1428	1429	32.4%	22.1%	45.5%	+1.3	3
1945-09-16	Aalborg	W 5-1	1428	1428	45.5%	22.1%	32.4%	+3.2	3
1945-09-16	@ AB Gladsaxe	L 1-5	1428	1428	32.4%	22.1%	45.5%	-3.2	0
1945-09-16	B.93	L 2-3	1434	1430	45.9%	22.0%	32.1%	-1.2	7
1945-09-16	@ B 1909	W 3-2	1430	1434	32.1%	22.0%	45.9%	+1.2	9
1945-09-16	Frem	L 0-4	1429	1435	44.5%	22.2%	33.3%	-4.9	1
1945-09-16	@ Koge BK	W 4-0	1435	1429	33.3%	22.2%	44.5%	+4.9	9
1945-09-30	B 1909	D 2-2	1430	1433	45.0%	22.2%	32.9%	-0.0	4
1945-09-30	@ B 1903	D 2-2	1433	1430	32.9%	22.2%	45.0%	+0.0	8
1945-09-30	Koge BK	W 3-1	1425	1424	45.5%	22.1%	32.4%	+1.7	3
1945-09-30	@ Fremad Amager	L 1-3	1424	1425	32.4%	22.1%	45.5%	-1.7	1
1945-10-07	Fremad Amager	L 0-2	1424	1426	45.1%	22.1%	32.8%	-2.6	0
1945-10-07	@ Aalborg	W 2-0	1426	1424	32.8%	22.1%	45.1%	+2.6	6
1945-10-07	KB Copenhagen	L 0-2	1433	1436	44.9%	22.2%	32.9%	-2.6	8
1945-10-07	@ B 1909	W 2-0	1436	1433	32.9%	22.2%	44.9%	+2.6	9
1945-10-07	Aarhus GF	W 4-2	1432	1428	45.9%	22.0%	32.0%	+1.5	12
1945-10-07	@ B.93	L 2-4	1428	1432	32.0%	22.0%	45.9%	-1.5	0
1945-10-07	AB Gladsaxe	W 2-1	1440	1431	46.6%	21.9%	31.4%	+1.0	12
1945-10-07	@ Frem	L 1-2	1431	1440	31.4%	21.9%	46.6%	-1.0	3
1945-10-07	B 1903	L 1-2	1422	1429	44.4%	22.2%	33.4%	-1.3	1
1945-10-07	@ Koge BK	W 2-1	1429	1422	33.4%	22.2%	44.4%	+1.3	7
1945-10-21	AB Gladsaxe	L 2-3	1426	1430	44.8%	22.2%	33.0%	-1.2	0
1945-10-21	@ Aarhus GF	W 3-2	1430	1426	33.0%	22.2%	44.8%	+1.2	6
1945-10-21	Fremad Amager	L 1-2	1430	1429	45.5%	22.1%	32.4%	-1.3	8
1945-10-21	@ B 1909	W 2-1	1429	1430	32.4%	22.1%	45.5%	+1.3	9
1945-10-21	Aalborg	L 1-3	1441	1422	48.1%	21.6%	30.2%	-2.4	12
1945-10-21	@ Frem	W 3-1	1422	1441	30.2%	21.6%	48.1%	+2.4	3
1945-10-21	B 1903	W 2-1	1439	1431	46.5%	21.9%	31.5%	+1.0	12
1945-10-21	@ KB Copenhagen	L 1-2	1431	1439	31.5%	21.9%	46.5%	-1.0	7
1945-10-28	KB Copenhagen	L 0-2	1424	1440	43.2%	22.3%	34.5%	-2.5	3
1945-10-28	@ Aalborg	W 2-0	1440	1424	34.5%	22.3%	43.2%	+2.5	15
1945-10-28	Fremad Amager	W 5-4	1432	1430	45.6%	22.1%	32.4%	+0.9	9
1945-10-28	@ AB Gladsaxe	L 4-5	1430	1432	32.4%	22.1%	45.6%	-0.9	9
1945-10-28	Frem	W 5-3	1433	1439	44.6%	22.2%	33.2%	+1.5	15
1945-10-28	@ B.93	L 3-5	1439	1433	33.2%	22.2%	44.6%	-1.5	12
1945-10-28	Aarhus GF	L 2-3	1421	1425	44.8%	22.2%	33.0%	-1.2	1
1945-10-28	@ Koge BK	W 3-2	1425	1421	33.0%	22.2%	44.8%	+1.2	3
1945-11-04	Koge BK	L 0-2	1422	1420	45.7%	22.1%	32.2%	-2.6	3
1945-11-04	@ Aalborg	W 2-0	1420	1422	32.2%	22.1%	45.7%	+2.6	4
1945-11-11	Aalborg	W 1-0	1426	1419	46.4%	21.9%	31.6%	+1.0	6
1945-11-11	@ Aarhus GF	L 0-1	1419	1426	31.6%	21.9%	46.4%	-1.0	3
1945-11-11	B 1903	W 1-0	1435	1430	46.1%	22.0%	31.9%	+1.0	18
1945-11-11	@ B.93	L 0-1	1430	1435	31.9%	22.0%	46.1%	-1.0	7
1945-11-11	B 1909	W 5-2	1437	1429	46.6%	21.9%	31.5%	+2.1	15
1945-11-11	@ Frem	L 2-5	1429	1437	31.5%	21.9%	46.6%	-2.1	8
1945-11-11	AB Gladsaxe	D 2-2	1422	1433	43.9%	22.3%	33.8%	-0.0	5
1945-11-11	@ Koge BK	D 2-2	1433	1422	33.8%	22.3%	43.9%	+0.0	10
1945-11-18	KB Copenhagen	L 4-8	1439	1442	45.0%	22.2%	32.9%	-3.0	15
1945-11-18	@ Frem	W 8-4	1442	1439	32.9%	22.2%	45.0%	+3.0	18
1945-11-18	Aarhus GF	D 2-2	1430	1427	45.7%	22.1%	32.2%	-0.1	10
1945-11-18	@ Fremad Amager	D 2-2	1427	1430	32.2%	22.1%	45.7%	+0.1	7
1945-11-25	Frem	W 2-1	1428	1436	44.2%	22.2%	33.6%	+1.0	10
1945-11-25	@ Aarhus GF	L 1-2	1436	1428	33.6%	22.2%	44.2%	-1.0	15
1945-11-25	B 1909	W 2-1	1433	1427	46.2%	22.0%	31.8%	+1.0	13
1945-11-25	@ AB Gladsaxe	L 1-2	1427	1433	31.8%	22.0%	46.2%	-1.0	8
1945-11-25	Aalborg	W 4-1	1429	1418	46.9%	21.9%	31.2%	+2.4	10
1945-11-25	@ B 1903	L 1-4	1418	1429	31.2%	21.9%	46.9%	-2.4	3
1945-11-25	KB Copenhagen	W 1-0	1422	1445	42.1%	22.4%	35.5%	+1.1	8
1945-11-25	@ Koge BK	L 0-1	1445	1422	35.5%	22.4%	42.1%	-1.1	18
1945-12-02	AB Gladsaxe	D 2-2	1436	1434	45.7%	22.1%	32.2%	-0.1	19
1945-12-02	@ B.93	D 2-2	1434	1436	32.2%	22.1%	45.7%	+0.1	14
1945-12-02	KB Copenhagen	L 0-6	1429	1444	43.3%	22.3%	34.4%	-7.0	10
1945-12-02	@ Fremad Amager	W 6-0	1444	1429	34.4%	22.3%	43.3%	+7.0	21
1945-12-09	AB Gladsaxe	W 4-0	1431	1434	45.0%	22.1%	32.8%	+3.8	13
1945-12-09	@ B 1903	L 0-4	1434	1431	32.8%	22.1%	45.0%	-3.8	14
1946-03-24	B 1903	W 3-2	1416	1435	42.7%	22.4%	35.0%	+1.0	6
1946-03-24	@ Aalborg	L 2-3	1435	1416	35.0%	22.4%	42.7%	-1.0	13
1946-03-24	Fremad Amager	L 1-2	1429	1422	46.3%	22.0%	31.8%	-1.3	10
1946-03-24	@ Aarhus GF	W 2-1	1422	1429	31.8%	22.0%	46.3%	+1.3	13
1946-03-30	Fremad Amager	D 1-1	1434	1424	46.9%	21.9%	31.3%	-0.1	14
1946-03-30	@ B 1903	D 1-1	1424	1434	31.3%	21.9%	46.9%	+0.1	14
1946-03-31	Aarhus GF	W 4-0	1430	1427	45.8%	22.1%	32.2%	+3.8	17
1946-03-31	@ AB Gladsaxe	L 0-4	1427	1430	32.2%	22.1%	45.8%	-3.8	10
1946-03-31	Frem	W 2-0	1426	1435	44.1%	22.2%	33.7%	+2.1	11
1946-03-31	@ B 1909	L 0-2	1435	1426	33.7%	22.2%	44.1%	-2.1	15
1946-03-31	Aalborg	W 7-0	1451	1417	50.3%	21.1%	28.6%	+5.7	24
1946-03-31	@ KB Copenhagen	L 0-7	1417	1451	28.6%	21.1%	50.3%	-5.7	6
1946-03-31	B.93	L 2-5	1423	1436	43.6%	22.3%	34.1%	-2.7	8
1946-03-31	@ Koge BK	W 5-2	1436	1423	34.1%	22.3%	43.6%	+2.7	22
1946-04-07	B.93	L 0-9	1423	1438	43.3%	22.3%	34.4%	-10.3	10
1946-04-07	@ Aarhus GF	W 9-0	1438	1423	34.4%	22.3%	43.3%	+10.3	25
1946-04-07	AB Gladsaxe	D 0-0	1428	1434	44.6%	22.2%	33.2%	-0.1	12
1946-04-07	@ B 1909	D 0-0	1434	1428	33.2%	22.2%	44.6%	+0.1	18
1946-04-07	Koge BK	D 2-2	1434	1421	47.3%	21.8%	30.9%	-0.1	15
1946-04-07	@ B 1903	D 2-2	1421	1434	30.9%	21.8%	47.3%	+0.1	9
1946-04-07	Aalborg	W 1-0	1424	1411	47.2%	21.8%	30.9%	+1.0	17
1946-04-07	@ Fremad Amager	L 0-1	1411	1424	30.9%	21.8%	47.2%	-1.0	6
1946-04-11	Koge BK	W 4-0	1433	1421	47.2%	21.8%	31.0%	+3.7	18
1946-04-11	@ Frem	L 0-4	1421	1433	31.0%	21.8%	47.2%	-3.7	9
1946-04-13	KB Copenhagen	W 2-0	1434	1457	42.1%	22.4%	35.5%	+2.2	18
1946-04-13	@ B 1903	L 0-2	1457	1434	35.5%	22.4%	42.1%	-2.2	24
1946-04-14	AB Gladsaxe	W 2-1	1410	1434	42.0%	22.4%	35.6%	+1.1	9
1946-04-14	@ Aalborg	L 1-2	1434	1410	35.6%	22.4%	42.0%	-1.1	18
1946-04-14	B 1909	W 6-2	1449	1428	48.4%	21.6%	30.0%	+2.5	28
1946-04-14	@ B.93	L 2-6	1428	1449	30.0%	21.6%	48.4%	-2.5	12
1946-04-14	Aarhus GF	L 0-1	1437	1413	48.8%	21.5%	29.7%	-1.5	18
1946-04-14	@ Frem	W 1-0	1413	1437	29.7%	21.5%	48.8%	+1.5	13
1946-04-16	Fremad Amager	L 0-1	1455	1425	49.7%	21.3%	29.1%	-1.5	24
1946-04-16	@ KB Copenhagen	W 1-0	1425	1455	29.1%	21.3%	49.7%	+1.5	20
1946-04-18	Aarhus GF	W 3-1	1411	1415	44.9%	22.2%	33.0%	+1.8	12
1946-04-18	@ Aalborg	L 1-3	1415	1411	33.0%	22.2%	44.9%	-1.8	13
1946-04-18	B.93	W 1-0	1433	1451	42.8%	22.4%	34.9%	+1.1	21
1946-04-18	@ AB Gladsaxe	L 0-1	1451	1433	34.9%	22.4%	42.8%	-1.1	28
1946-04-19	B 1903	L 1-3	1425	1436	43.9%	22.3%	33.9%	-2.2	12
1946-04-19	@ B 1909	W 3-1	1436	1425	33.9%	22.3%	43.9%	+2.2	21
1946-04-19	Frem	D 1-1	1426	1435	44.1%	22.2%	33.6%	-0.1	21
1946-04-19	@ Fremad Amager	D 1-1	1435	1426	33.6%	22.2%	44.1%	+0.1	19
1946-04-19	Koge BK	L 1-3	1453	1417	50.6%	21.0%	28.4%	-2.5	24
1946-04-19	@ KB Copenhagen	W 3-1	1417	1453	28.4%	21.0%	50.6%	+2.5	12
1946-04-21	Aalborg	W 4-0	1450	1413	50.7%	21.0%	28.3%	+3.4	31
1946-04-21	@ B.93	L 0-4	1413	1450	28.3%	21.0%	50.7%	-3.3	12
1946-04-22	Aarhus GF	L 1-3	1438	1413	49.0%	21.4%	29.6%	-2.4	21
1946-04-22	@ B 1903	W 3-1	1413	1438	29.6%	21.4%	49.0%	+2.4	16
1946-04-22	B 1909	W 2-1	1451	1423	49.4%	21.3%	29.3%	+0.9	27
1946-04-22	@ KB Copenhagen	L 1-2	1423	1451	29.3%	21.3%	49.4%	-0.9	12
1946-04-22	Fremad Amager	W 5-2	1420	1426	44.4%	22.2%	33.4%	+2.2	15
1946-04-22	@ Koge BK	L 2-5	1426	1420	33.4%	22.2%	44.4%	-2.2	21
1946-04-23	Frem	L 1-3	1434	1435	45.2%	22.1%	32.7%	-2.2	21
1946-04-23	@ AB Gladsaxe	W 3-1	1435	1434	32.7%	22.1%	45.2%	+2.2	22
1946-04-25	Fremad Amager	W 4-2	1453	1424	49.6%	21.3%	29.1%	+1.4	34
1946-04-25	@ B.93	L 2-4	1424	1453	29.1%	21.3%	49.6%	-1.4	21
1946-04-26	B 1903	W 4-0	1438	1436	45.7%	22.1%	32.3%	+3.8	25
1946-04-26	@ Frem	L 0-4	1436	1438	32.3%	22.1%	45.7%	-3.8	21
1946-04-27	Koge BK	W 7-2	1431	1422	46.8%	21.9%	31.3%	+3.1	24
1946-04-27	@ AB Gladsaxe	L 2-7	1422	1431	31.3%	21.9%	46.8%	-3.2	15
1946-04-28	B.93	W 2-0	1409	1455	39.0%	22.3%	38.7%	+2.3	15
1946-04-28	@ Aalborg	L 0-2	1455	1409	38.7%	22.3%	39.0%	-2.3	34
1946-04-28	B 1909	D 3-3	1415	1422	44.4%	22.2%	33.4%	-0.0	17
1946-04-28	@ Aarhus GF	D 3-3	1422	1415	33.4%	22.2%	44.4%	+0.0	13
1946-05-02	Frem	W 4-1	1452	1441	46.9%	21.9%	31.3%	+2.4	30
1946-05-02	@ KB Copenhagen	L 1-4	1441	1452	31.3%	21.9%	46.9%	-2.4	25
1946-05-04	AB Gladsaxe	D 1-1	1423	1435	43.7%	22.3%	34.0%	-0.1	22
1946-05-04	@ Fremad Amager	D 1-1	1435	1423	34.0%	22.3%	43.7%	+0.1	25
1946-05-05	Frem	D 1-1	1412	1439	41.5%	22.4%	36.1%	-0.0	16
1946-05-05	@ Aalborg	D 1-1	1439	1412	36.1%	22.4%	41.5%	+0.0	26
1946-05-05	Koge BK	L 1-2	1422	1419	45.9%	22.0%	32.1%	-1.3	13
1946-05-05	@ B 1909	W 2-1	1419	1422	32.1%	22.0%	45.9%	+1.3	18
1946-05-05	B.93	L 0-3	1432	1452	42.5%	22.4%	35.2%	-3.6	21
1946-05-05	@ B 1903	W 3-0	1452	1432	35.2%	22.4%	42.5%	+3.6	37
1946-05-05	Aarhus GF	W 1-0	1454	1415	50.9%	20.9%	28.1%	+0.9	33
1946-05-05	@ KB Copenhagen	L 0-1	1415	1454	28.1%	20.9%	50.9%	-0.9	17
1946-05-08	B.93	L 0-4	1439	1456	43.0%	22.3%	34.7%	-4.8	26
1946-05-08	@ Frem	W 4-0	1456	1439	34.7%	22.3%	43.0%	+4.8	40
1946-05-09	B 1903	D 2-2	1423	1428	44.6%	22.2%	33.2%	-0.1	23
1946-05-09	@ Fremad Amager	D 2-2	1428	1423	33.2%	22.2%	44.6%	+0.1	22
1946-05-12	KB Copenhagen	W 1-0	1414	1455	39.6%	22.4%	38.0%	+1.2	20
1946-05-12	@ Aarhus GF	L 0-1	1455	1414	38.0%	22.4%	39.6%	-1.2	33
1946-05-12	B 1909	L 1-2	1423	1421	45.6%	22.1%	32.3%	-1.3	23
1946-05-12	@ Fremad Amager	W 2-1	1421	1423	32.3%	22.1%	45.6%	+1.3	16
1946-05-12	Aalborg	L 1-2	1420	1412	46.6%	21.9%	31.5%	-1.3	18
1946-05-12	@ Koge BK	W 2-1	1412	1420	31.5%	21.9%	46.6%	+1.3	19
1946-05-19	Koge BK	L 2-3	1415	1419	45.0%	22.2%	32.9%	-1.2	20
1946-05-19	@ Aarhus GF	W 3-2	1419	1415	32.9%	22.2%	45.0%	+1.2	21
1946-05-19	Aalborg	D 1-1	1422	1413	46.7%	21.9%	31.4%	-0.1	17
1946-05-19	@ B 1909	D 1-1	1413	1422	31.4%	21.9%	46.7%	+0.1	20
1946-05-25	AB Gladsaxe	D 2-2	1454	1435	48.1%	21.6%	30.2%	-0.1	34
1946-05-25	@ KB Copenhagen	D 2-2	1435	1454	30.2%	21.6%	48.1%	+0.1	26
1946-05-27	KB Copenhagen	D 3-3	1461	1454	46.4%	21.9%	31.6%	-0.1	41
1946-05-27	@ B.93	D 3-3	1454	1461	31.6%	21.9%	46.4%	+0.1	35
1946-06-01	B 1903	W 3-1	1435	1428	46.3%	22.0%	31.7%	+1.7	29
1946-06-01	@ AB Gladsaxe	L 1-3	1428	1435	31.7%	22.0%	46.3%	-1.7	22

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	1946-04-19	28.41%	Koge BK	1417	3	@ KB Copenhagen	1453	1
2	1946-04-16	29.07%	Fremad Amager	1425	1	@ KB Copenhagen	1455	0
3	1946-04-22	29.56%	Aarhus GF	1413	3	@ B 1903	1438	1
4	1946-04-14	29.74%	Aarhus GF	1413	1	@ Frem	1437	0
5	1945-10-21	30.24%	Aalborg	1422	3	@ Frem	1441	1
6	1946-05-12	31.50%	Aalborg	1412	2	@ Koge BK	1420	1
7	1946-03-24	31.76%	Fremad Amager	1422	2	@ Aarhus GF	1429	1
8	1946-05-05	32.06%	Koge BK	1419	2	@ B 1909	1422	1
9	1945-09-16	32.08%	B.93	1430	3	@ B 1909	1434	2
10	1945-11-04	32.24%	Koge BK	1420	2	@ Aalborg	1422	0
11	1946-05-12	32.28%	B 1909	1421	2	@ Fremad Amager	1423	1
12	1945-09-16	32.37%	B 1903	1428	2	@ Aarhus GF	1429	1
13	1945-10-21	32.38%	Fremad Amager	1429	2	@ B 1909	1430	1
14	1945-08-17	32.50%	Frem	1430	4	@ B 1903	1430	2
15	1945-08-19	32.50%	KB Copenhagen	1430	4	@ AB Gladsaxe	1430	2
16	1945-08-19	32.62%	B 1909	1431	2	@ Aalborg	1430	0
17	1945-08-19	32.68%	B.93	1432	2	@ Fremad Amager	1430	0
18	1946-04-23	32.70%	Frem	1435	3	@ AB Gladsaxe	1434	1
19	1945-10-07	32.75%	Fremad Amager	1426	2	@ Aalborg	1424	0
20	1945-11-18	32.87%	KB Copenhagen	1442	8	@ Frem	1439	4
21	1946-05-19	32.89%	Koge BK	1419	3	@ Aarhus GF	1415	2
22	1945-10-07	32.92%	KB Copenhagen	1436	2	@ B 1909	1433	0
23	1945-10-21	33.00%	AB Gladsaxe	1430	3	@ Aarhus GF	1426	2
24	1945-10-28	33.04%	Aarhus GF	1425	3	@ Koge BK	1421	2
25	1945-09-16	33.30%	Frem	1435	4	@ Koge BK	1429	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	1946-04-07	10.30	B.93	9	1438	34.41%	@ Aarhus GF	0	1423	43.27%
2	1945-12-02	7.00	KB Copenhagen	6	1444	34.37%	@ Fremad Amager	0	1429	43.32%
3	1946-03-31	5.73	@ KB Copenhagen	7	1451	50.32%	Aalborg	0	1417	28.58%
4	1945-09-16	4.89	Frem	4	1435	33.30%	@ Koge BK	0	1429	44.49%
5	1946-05-08	4.75	B.93	4	1456	34.69%	@ Frem	0	1439	42.97%
6	1945-12-09	3.83	@ B 1903	4	1431	45.04%	AB Gladsaxe	0	1434	32.82%
7	1945-08-29	3.82	@ KB Copenhagen	4	1432	45.11%	B.93	0	1434	32.75%
8	1946-04-26	3.78	@ Frem	4	1438	45.67%	B 1903	0	1436	32.27%
9	1946-03-31	3.77	@ AB Gladsaxe	4	1430	45.77%	Aarhus GF	0	1427	32.18%
10	1946-04-11	3.65	@ Frem	4	1433	47.16%	Koge BK	0	1421	31.02%
11	1946-05-05	3.61	B.93	3	1452	35.17%	@ B 1903	0	1432	42.47%
12	1946-04-21	3.35	@ B.93	4	1450	50.74%	Aalborg	0	1413	28.28%
13	1945-09-16	3.16	@ AB Gladsaxe	5	1428	45.48%	Aalborg	1	1428	32.43%
14	1946-04-27	3.15	@ AB Gladsaxe	7	1431	46.79%	Koge BK	2	1422	31.33%
15	1945-11-18	3.00	KB Copenhagen	8	1442	32.87%	@ Frem	4	1439	44.97%
16	1945-08-28	2.86	@ Frem	3	1432	46.06%	Fremad Amager	0	1428	31.93%
17	1946-03-31	2.69	B.93	5	1436	34.07%	@ Koge BK	2	1423	43.64%
18	1945-11-04	2.63	Koge BK	2	1420	32.24%	@ Aalborg	0	1422	45.70%
19	1945-08-19	2.61	B 1909	2	1431	32.62%	@ Aalborg	0	1430	45.26%
20	1945-08-19	2.61	B.93	2	1432	32.68%	@ Fremad Amager	0	1430	45.20%
21	1945-10-07	2.60	Fremad Amager	2	1426	32.75%	@ Aalborg	0	1424	45.11%
22	1945-10-07	2.60	KB Copenhagen	2	1436	32.92%	@ B 1909	0	1433	44.92%
23	1945-10-28	2.52	KB Copenhagen	2	1440	34.47%	@ Aalborg	0	1424	43.20%
24	1946-04-14	2.50	@ B.93	6	1449	48.40%	B 1909	2	1428	30.03%
25	1946-04-19	2.47	Koge BK	3	1417	28.41%	@ KB Copenhagen	1	1453	50.56%