2005-06 Luxembourg National Division Season

168 games

Final

Champion

F91 Dudelange

51 points

Relegated

No relegation

Biggest Overachiever

Wiltz 71

7.41 points above expected

34 points · 26.59 expected points

Biggest Disappointment

Avenir Beggen

13.55 points below expected

5 points · 18.55 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	F91 Dudelange	22	16	3	3	51	63	15	+48	47.49	+3.51
2	Jeunesse Esch	22	14	2	6	44	49	19	+30	38.98	+5.02
3	Etzella Ettelbruck	22	13	1	8	40	48	36	+12	40.82	-0.82
4	Grevenmacher	22	12	2	8	38	51	27	+24	38.95	-0.95
5	Wiltz 71	22	9	7	6	34	36	27	+9	26.59	+7.41
6	UN Kaerjeng	22	10	4	8	34	36	33	+3	28.31	+5.69
7	Racing FC Union Luxembourg	22	10	4	8	34	31	30	+1	28.90	+5.10
8	CS Petange	22	10	2	10	32	29	33	-4	27.25	+4.75
9	Swift Hesperange	22	6	8	8	26	31	37	-6	27.23	-1.23
10	Victoria Rosport	22	6	5	11	23	24	42	-18	29.00	-6.00
11	Rumelange	22	3	3	16	12	20	58	-38	20.80	-8.80
12	Avenir Beggen	22	0	5	17	5	10	71	-61	18.55	-13.55

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	F91 Dudelange	6	4	1	1	13	20	7	+13	62.66	-49.66
2	Wiltz 71	6	4	1	1	13	13	9	+4	45.42	-32.42
3	Avenir Beggen	6	4	0	2	12	8	8	0	10.04	+1.96
4	Swift Hesperange	6	3	1	2	10	10	7	+3	36.89	-26.89
5	Victoria Rosport	6	2	3	1	9	10	8	+2	32.61	-23.61
6	Etzella Ettelbruck	6	3	0	3	9	11	11	0	46.59	-37.59
7	Jeunesse Esch	6	3	0	3	9	9	17	-8	52.12	-43.12
8	CS Petange	6	2	2	2	8	10	7	+3	43.57	-35.57
9	Racing FC Union Luxembourg	6	2	1	3	7	9	9	0	45.40	-38.40
10	Grevenmacher	6	1	1	4	4	7	12	-5	45.48	-41.48
11	Rumelange	6	1	1	4	4	5	12	-7	19.10	-15.10
12	UN Kaerjeng	6	0	3	3	3	8	13	-5	45.84	-42.84

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	Wiltz 71	34	26.59	+7.41
2	UN Kaerjeng	34	28.31	+5.69
3	Racing FC Union Luxembourg	34	28.90	+5.10
4	Jeunesse Esch	44	38.98	+5.02
5	CS Petange	32	27.25	+4.75

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Avenir Beggen	5	18.55	-13.55
2	Rumelange	12	20.80	-8.80
3	Victoria Rosport	23	29.00	-6.00
4	Swift Hesperange	26	27.23	-1.23
5	Grevenmacher	38	38.95	-0.95

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	Racing FC Union Luxembourg	3	Oct 23 – Oct 30	1 in 56
2	Grevenmacher	5	Nov 6 – Dec 10	1 in 45
3	Jeunesse Esch	5	Aug 10 – Sep 18	1 in 34
4	Etzella Ettelbruck	6	Oct 26 – Dec 4	1 in 26
5	Wiltz 71	2	Sep 25 – Oct 16	1 in 24

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Avenir Beggen	11	Aug 10 – Nov 6	1 in 555
2	Rumelange	8	Oct 23 – Dec 11	1 in 36
3	F91 Dudelange	2	Nov 20 – Dec 10	1 in 28
4	Racing FC Union Luxembourg	3	Dec 9 – Feb 19	1 in 24
5	Etzella Ettelbruck	2	Sep 18 – Sep 25	1 in 21

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Wiltz 71	12	Oct 26 – Mar 26	1 in 1,788
2	Racing FC Union Luxembourg	6	Sep 17 – Oct 30	1 in 48
3	UN Kaerjeng	5	Oct 17 – Nov 6	1 in 17
4	Grevenmacher	5	Nov 6 – Dec 10	1 in 8
5	Swift Hesperange	4	Sep 18 – Oct 23	1 in 7

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Avenir Beggen	22	Aug 6 – Apr 2	1 in 288
2	Etzella Ettelbruck	4	Sep 18 – Oct 23	1 in 39
3	Swift Hesperange	8	Nov 20 – Mar 26	1 in 37
4	Rumelange	11	Sep 17 – Dec 11	1 in 20
5	Racing FC Union Luxembourg	4	Dec 4 – Feb 19	1 in 15

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	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
F91 Dudelange	1368	64	+30	12	10.1	+1.9
Jeunesse Esch	1194	53	-27	6	6.1	-0.1
Etzella Ettelbruck	1176	49	+22	9	5.6	+3.4
Wiltz 71	1076	47	+21	12	7.9	+4.1
Grevenmacher	1172	42	-25	3	6.4	-3.4
Racing FC Union Luxembourg	1041	41	-15	6	8.5	-2.5
CS Petange	1060	40	-14	5	8.9	-3.9
UN Kaerjeng	1031	37	-21	3	9.0	-6.0
Swift Hesperange	1044	36	+8	9	7.7	+1.3
Victoria Rosport	994	32	-13	6	7.2	-1.2
Avenir Beggen	861	17	+49	12	3.1	+8.9
Rumelange	895	16	-15	3	4.1	-1.1

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	AB	CP	EE	FD	GRE	JE	RFUL	RUM	SH	UK	VR	W7
Avenir Beggen	—	0-0-2 1.82	0-0-2 1.42	0-1-1 0.62	0-0-2 1.53	0-0-2 1.00	0-2-0 1.92	0-0-2 2.65	0-1-1 1.92	0-0-2 1.50	0-1-1 1.96	0-0-2 1.76
CS Petange	2-0-0 3.82	—	0-0-2 1.79	0-0-2 1.15	1-0-1 1.78	1-0-1 1.79	1-0-1 2.68	2-0-0 3.66	1-1-0 2.89	1-0-1 2.79	1-0-1 2.60	0-1-1 2.92
Etzella Ettelbruck	2-0-0 4.26	2-0-0 3.86	—	1-0-1 2.06	1-0-1 2.93	1-0-1 3.13	0-0-2 3.83	2-0-0 4.39	2-0-0 4.03	0-1-1 3.88	2-0-0 3.91	0-0-2 4.19
F91 Dudelange	1-1-0 5.13	2-0-0 4.53	1-0-1 3.58	—	0-1-1 3.76	2-0-0 3.73	1-0-1 4.45	2-0-0 5.01	2-0-0 4.56	2-0-0 4.44	2-0-0 4.49	1-1-0 4.68
Grevenmacher	2-0-0 4.14	1-0-1 3.87	1-0-1 2.70	1-1-0 1.88	—	0-0-2 2.81	1-0-1 3.47	2-0-0 4.10	1-0-1 3.96	1-0-1 3.78	1-0-1 3.43	1-1-0 3.77
Jeunesse Esch	2-0-0 4.70	1-0-1 3.85	1-0-1 2.50	0-0-2 1.91	2-0-0 2.82	—	2-0-0 3.63	2-0-0 3.92	0-1-1 3.92	2-0-0 3.62	1-0-1 3.69	1-1-0 3.90
Racing FC Union Luxembourg	0-2-0 3.71	1-0-1 2.96	2-0-0 1.81	1-0-1 1.22	1-0-1 2.16	0-0-2 2.00	—	0-1-1 3.67	1-0-1 2.93	1-0-1 2.93	2-0-0 2.92	1-1-0 3.23
Rumelange	2-0-0 2.98	0-0-2 1.97	0-0-2 1.29	0-0-2 0.72	0-0-2 1.55	0-0-2 1.73	1-1-0 1.98	—	0-1-1 2.11	0-0-2 2.14	0-1-1 2.27	0-0-2 2.46
Swift Hesperange	1-1-0 3.73	0-1-1 2.74	0-0-2 1.62	0-0-2 1.13	1-0-1 1.69	1-1-0 1.73	1-0-1 2.69	1-1-0 3.53	—	0-2-0 2.70	0-1-1 2.67	1-1-0 2.80
UN Kaerjeng	2-0-0 4.16	1-0-1 2.83	1-1-0 1.76	0-0-2 1.24	1-0-1 1.86	0-0-2 2.02	1-0-1 2.69	2-0-0 3.50	0-2-0 2.93	—	1-1-0 2.86	1-0-1 3.03
Victoria Rosport	1-1-0 3.67	1-0-1 3.02	0-0-2 1.74	0-0-2 1.19	1-0-1 2.20	1-0-1 1.96	0-0-2 2.71	1-1-0 3.37	1-1-0 2.96	0-1-1 2.77	—	0-1-1 3.12
Wiltz 71	2-0-0 3.88	1-1-0 2.71	2-0-0 1.48	0-1-1 1.01	0-1-1 1.88	0-1-1 1.74	0-1-1 2.40	2-0-0 3.18	0-1-1 2.82	1-0-1 2.60	1-1-0 2.50	—

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	0.89	+8.2
Allowed	0.92	-8.0
Differential	0.97	+4.3

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	4.17%	6.55%	6.55%	3.87%	1.79%	2.98%	25.89%
1	6.55%	10.12%	5.06%	5.36%	3.27%	1.79%	32.14%
2	6.55%	5.06%	2.38%	1.49%	1.49%	—	16.96%
3	3.87%	5.36%	1.49%	1.19%	0.60%	0.30%	12.80%
4	1.79%	3.27%	1.49%	0.60%	—	—	7.14%
5+	2.98%	1.79%	—	0.30%	—	—	5.06%
Total	25.89%	32.14%	16.96%	12.80%	7.14%	5.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.63	1.63	+0.00
SD	1.60	1.60	2.57
CV	0.98	0.98	—
Max	11	11	+11
Min	0	0	-11

Games Played: 168

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.57%	3.57%	10.71%	10.71%	3.57%	14.29%	46.43%
1	7.14%	14.29%	7.14%	3.57%	10.71%	3.57%	46.43%
2	3.57%	—	—	—	—	—	3.57%
3	—	—	3.57%	—	—	—	3.57%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	14.29%	17.86%	21.43%	14.29%	14.29%	17.86%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.64	2.82	-2.18
SD	0.73	2.48	2.82
CV	1.14	0.88	—
Max	3	11	+2
Min	0	0	-11

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	14.29%	—	—	—	3.57%	17.86%
1	10.71%	10.71%	14.29%	7.14%	—	3.57%	46.43%
2	10.71%	7.14%	—	—	—	—	17.86%
3	3.57%	7.14%	—	3.57%	—	—	14.29%
4	—	—	3.57%	—	—	—	3.57%
5+	—	—	—	—	—	—	—
Total	25.00%	39.29%	17.86%	10.71%	—	7.14%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.43	-0.04
SD	1.07	1.37	1.88
CV	0.77	0.96	—
Max	4	5	+3
Min	0	0	-5

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	3.57%	—	7.14%	—	—	10.71%
1	3.57%	—	3.57%	14.29%	3.57%	—	25.00%
2	10.71%	14.29%	3.57%	3.57%	—	—	32.14%
3	—	7.14%	3.57%	—	3.57%	—	14.29%
4	—	3.57%	7.14%	—	—	—	10.71%
5+	7.14%	—	—	—	—	—	7.14%
Total	21.43%	28.57%	17.86%	25.00%	7.14%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.11	1.68	+0.43
SD	1.40	1.28	2.23
CV	0.66	0.76	—
Max	5	4	+5
Min	0	0	-3

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.57%	7.14%	—	—	—	—	10.71%
1	3.57%	10.71%	3.57%	—	3.57%	—	21.43%
2	7.14%	—	—	—	—	—	7.14%
3	10.71%	7.14%	3.57%	—	—	—	21.43%
4	10.71%	7.14%	3.57%	—	—	—	21.43%
5+	7.14%	10.71%	—	—	—	—	17.86%
Total	42.86%	42.86%	10.71%	—	3.57%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.96	0.79	+2.18
SD	2.12	0.92	2.48
CV	0.71	1.17	—
Max	9	4	+9
Min	0	0	-3

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.14%	10.71%	10.71%	—	—	—	28.57%
1	—	3.57%	3.57%	3.57%	3.57%	3.57%	17.86%
2	7.14%	10.71%	—	—	7.14%	—	25.00%
3	3.57%	3.57%	—	—	—	—	7.14%
4	3.57%	10.71%	—	—	—	—	14.29%
5+	7.14%	—	—	—	—	—	7.14%
Total	28.57%	39.29%	14.29%	3.57%	10.71%	3.57%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.07	1.39	+0.68
SD	2.37	1.42	3.13
CV	1.14	1.02	—
Max	11	5	+11
Min	0	0	-4

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	7.14%	7.14%	3.57%	—	3.57%	21.43%
1	10.71%	7.14%	7.14%	—	3.57%	—	28.57%
2	10.71%	3.57%	—	—	—	—	14.29%
3	3.57%	7.14%	—	—	—	—	10.71%
4	3.57%	10.71%	3.57%	—	—	—	17.86%
5+	7.14%	—	—	—	—	—	7.14%
Total	35.71%	35.71%	17.86%	3.57%	3.57%	3.57%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.07	1.29	+0.79
SD	1.92	1.82	3.12
CV	0.93	1.42	—
Max	8	9	+8
Min	0	0	-9

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.57%	3.57%	14.29%	—	3.57%	3.57%	28.57%
1	10.71%	10.71%	3.57%	3.57%	—	—	28.57%
2	3.57%	7.14%	3.57%	7.14%	—	—	21.43%
3	7.14%	10.71%	—	—	—	—	17.86%
4	—	—	—	—	—	—	—
5+	3.57%	—	—	—	—	—	3.57%
Total	28.57%	32.14%	21.43%	10.71%	3.57%	3.57%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.43	1.39	+0.04
SD	1.29	1.31	2.19
CV	0.90	0.94	—
Max	5	5	+5
Min	0	0	-5

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.57%	14.29%	7.14%	3.57%	7.14%	7.14%	42.86%
1	—	10.71%	—	14.29%	7.14%	3.57%	35.71%
2	7.14%	3.57%	—	—	3.57%	—	14.29%
3	—	—	—	—	—	3.57%	3.57%
4	—	3.57%	—	—	—	—	3.57%
5+	—	—	—	—	—	—	—
Total	10.71%	32.14%	7.14%	17.86%	17.86%	14.29%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.89	2.50	-1.61
SD	1.03	1.82	2.17
CV	1.15	0.73	—
Max	4	6	+3
Min	0	0	-6

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.14%	3.57%	3.57%	10.71%	—	—	25.00%
1	3.57%	21.43%	3.57%	3.57%	—	3.57%	35.71%
2	10.71%	3.57%	3.57%	3.57%	—	—	21.43%
3	—	3.57%	3.57%	—	3.57%	—	10.71%
4	—	—	—	—	—	—	—
5+	—	7.14%	—	—	—	—	7.14%
Total	21.43%	39.29%	14.29%	17.86%	3.57%	3.57%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	1.57	-0.11
SD	1.37	1.43	2.06
CV	0.94	0.91	—
Max	5	6	+4
Min	0	0	-5

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.14%	7.14%	3.57%	3.57%	7.14%	—	28.57%
1	7.14%	7.14%	7.14%	3.57%	3.57%	—	28.57%
2	3.57%	3.57%	3.57%	3.57%	—	—	14.29%
3	7.14%	7.14%	—	7.14%	—	—	21.43%
4	—	—	—	—	—	—	—
5+	—	3.57%	—	3.57%	—	—	7.14%
Total	25.00%	28.57%	14.29%	21.43%	10.71%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.57	1.64	-0.07
SD	1.48	1.37	2.07
CV	0.94	0.83	—
Max	5	4	+4
Min	0	0	-4

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.14%	3.57%	10.71%	7.14%	—	3.57%	32.14%
1	14.29%	10.71%	3.57%	3.57%	3.57%	—	35.71%
2	—	3.57%	7.14%	—	7.14%	—	17.86%
3	3.57%	—	—	3.57%	—	—	7.14%
4	—	3.57%	—	3.57%	—	—	7.14%
5+	—	—	—	—	—	—	—
Total	25.00%	21.43%	21.43%	17.86%	10.71%	3.57%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.79	-0.57
SD	1.20	1.47	1.85
CV	0.99	0.83	—
Max	4	5	+3
Min	0	0	-5

Games Played: 28

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.14%	—	10.71%	—	—	—	17.86%
1	7.14%	14.29%	3.57%	7.14%	—	3.57%	35.71%
2	3.57%	3.57%	7.14%	—	—	—	14.29%
3	7.14%	10.71%	3.57%	—	—	—	21.43%
4	3.57%	—	—	3.57%	—	—	7.14%
5+	3.57%	—	—	—	—	—	3.57%
Total	32.14%	28.57%	25.00%	10.71%	—	3.57%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.75	1.29	+0.46
SD	1.38	1.24	2.03
CV	0.79	0.97	—
Max	5	5	+5
Min	0	0	-4

Games Played: 28

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
F91 Dudelange	1368	51	47.49	+3.51	69.0%	34	37	43	48	52	56	58
Jeunesse Esch	1194	44	38.98	+5.02	81.0%	24	29	35	39	42	49	55
Etzella Ettelbruck	1176	40	40.82	-0.82	44.0%	18	29	37	41	45	51	56
Grevenmacher	1172	38	38.95	-0.95	47.0%	23	28	36	39	42	48	53
Wiltz 71	1076	34	26.59	+7.41	89.0%	12	17	22	26	30	37	44
CS Petange	1060	32	27.25	+4.75	76.0%	10	17	23	26	32	36	41
Swift Hesperange	1044	26	27.23	-1.23	45.0%	17	18	23	27	31	37	41
Racing FC Union Luxembourg	1041	34	28.90	+5.10	87.0%	11	17	25	30	33	39	44
UN Kaerjeng	1031	34	28.31	+5.69	88.0%	10	19	25	29	33	36	42
Victoria Rosport	994	23	29.00	-6.00	16.0%	17	19	25	29	33	37	43
Rumelange	895	12	20.80	-8.80	7.0%	9	11	17	21	23	31	34
Avenir Beggen	861	5	18.55	-13.55	0.0%	7	10	15	18	21	28	35

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 7% * Slight Edge: 7% to 11.5% * Clear Edge: 11.5% to 16.5% * Strong Edge: 16.5% 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

+21.43%

Strong Edge

51.79%17.86%30.36%

Elo Value

Home Edge

129 Elo

0.008 goals per Elo point

075.62400

Scoring Tilt

Expected

+0.49 goals

Neutral

-2+0.59+2

Title Race

How these are measured

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

Title-Race Openness: Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 6th * Longshot: 7th or lower.
Title Margin: Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.05 * Tight Race: 0.05 to 0.17 * Comfortable: 0.17 to 0.27 * Runaway: 0.27 and up.

Title-Race Openness

1.9

One-Team Race

123410

Champion Preseason Odds

71%

F91 Dudelange, 1st of 12

LongshotFavorite

Title Margin

Expected

0.32/gm

Runaway

00.260.5/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 4.68 * Some Luck: 4.68 to 7.02 * Lucky: 7.02 to 9.36 * Wild Swing: 9.36 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 1.35 * Close: 1.35 to 2.02 * Off: 2.02 to 2.7 * Way Off: 2.7 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 12 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 12 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.

Luck Spread

Expected

6.28 points

Some Luck

05.8515

Average Finish Error

Expected

1.17

Pinpoint

01.694

Biggest Overachiever

Expected 95.83%

89.00%

Wiltz 71

50100

Biggest Underachiever

Expected 4.17%

0.00%

Avenir Beggen

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

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 0.17 * Even: 0.17 to 0.19 * Top-Heavy: 0.19 to 0.21 * Lopsided: 0.21 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 1.65 * Moderate Separation: 1.65 to 1.85 * Strong Separation: 1.85 to 2.05 * Wide Separation: 2.05 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 68% * Slight Edge: 68% to 72.5% * Clear Edge: 72.5% to 78% * Wide Edge: 78% 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 89.5% * Clear Edge: 89.5% to 92% * Strong Edge: 92% to 95% * Dominant: 95% 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 49% * Some Drama: 49% to 53% * Frequent: 53% to 56% * Very Frequent: 56% 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 23% * Occasional: 23% to 26% * Frequent: 26% to 28% * Very Frequent: 28% and up.

Gini Index

0.22

Lopsided

00.170.5

Noll-Scully

Elo SD: 138.42

2.02

Strong Separation

11.651.852.052.5

Interquartile Edge

70%

Slight Edge

50%68%78%100%

Best vs. Worst

Baseline 94%

95%

Dominant

50%100%

Close Games

Expected

45%

Few

0%44%100%

Blowouts

Expected

27%

Frequent

0%33%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 0.35 * Slight Separation: 0.35 to 0.39 * Notable Separation: 0.39 to 0.44 * Lopsided: 0.44 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 0.43 * Some Carryover: 0.43 to 0.62 * Strong Carryover: 0.62 to 0.73 * Near-Lock: 0.73 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 21.5% * As Expected: 21.5% to 24% * Upset-Prone: 24% to 26.5% * Very Upset-Prone: 26.5% 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 18% * As Expected: 18% to 20.5% * Shaky Favorites: 20.5% to 23.5% * Very Shaky: 23.5% and up.

Brier Score

Expected

0.55

Highly Predictable

00.562

Matchup Imbalance

0.39

Notable Separation

00.350.5

Strangeness

Expected

1.27

Wilder Than Modeled

01.002

Repeatability

0.63

Strong Carryover

00.430.621

Upset Rate

Expected

21%

Chalky

0%25%50%

Clear Favorite Upset Rate

Expected

20%

As Expected

0%21%50%

Calibration

How these are measured

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

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

Probability calibration

0.77

Excellent

0.010.050.10.51

Calibration slope

Ideal

0.99

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.094

Well Within Noise

00.1240.3

Elo Progression Through The Playoffs

How each team's Elo rating moved through the playoff games. Game 0 is the starting Elo just before the first game; each later point is the post-game Elo after that fixture. Steep upward moves are wins over higher-rated opponents; sharp drops are losses to lower-rated opponents.

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).

Team	1	2	3	4	5	6	7	8	9	10	11	12
F91 Dudelange	71.00%	16.00%	7.00%	3.00%	3.00%	—	—	—	—	—	—	—
Jeunesse Esch	7.00%	22.00%	27.00%	22.00%	13.00%	3.00%	2.00%	2.00%	1.00%	1.00%	—	—
Etzella Ettelbruck	14.00%	33.00%	21.00%	19.00%	6.00%	1.00%	2.00%	1.00%	1.00%	1.00%	1.00%	—
Grevenmacher	7.00%	22.00%	32.00%	15.00%	11.00%	4.00%	4.00%	3.00%	1.00%	1.00%	—	—
Wiltz 71	—	2.00%	1.00%	8.00%	6.00%	8.00%	19.00%	15.00%	13.00%	17.00%	7.00%	4.00%
UN Kaerjeng	—	1.00%	4.00%	8.00%	7.00%	23.00%	11.00%	17.00%	12.00%	11.00%	4.00%	2.00%
Racing FC Union Luxembourg	—	3.00%	2.00%	2.00%	18.00%	20.00%	14.00%	17.00%	7.00%	7.00%	6.00%	4.00%
CS Petange	—	1.00%	—	5.00%	14.00%	13.00%	11.00%	12.00%	21.00%	9.00%	10.00%	4.00%
Swift Hesperange	—	—	1.00%	7.00%	9.00%	11.00%	12.00%	14.00%	18.00%	16.00%	8.00%	4.00%
Victoria Rosport	1.00%	—	3.00%	10.00%	11.00%	14.00%	14.00%	14.00%	17.00%	9.00%	4.00%	3.00%
Rumelange	—	—	1.00%	1.00%	2.00%	3.00%	5.00%	3.00%	7.00%	17.00%	31.00%	30.00%
Avenir Beggen	—	—	1.00%	—	—	—	6.00%	2.00%	2.00%	11.00%	29.00%	49.00%

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	Lost relegation playoff
Etzella Ettelbruck	100%	—
F91 Dudelange	100%	—
Grevenmacher	100%	—
Jeunesse Esch	100%	—
Racing FC Union Luxembourg	94.00%	6.00%
Victoria Rosport	94.00%	6.00%
UN Kaerjeng	93.00%	7.00%
Wiltz 71	92.00%	8.00%
CS Petange	90.00%	10.00%
Swift Hesperange	86.00%	14.00%
Rumelange	37.00%	63.00%
Avenir Beggen	14.00%	86.00%

Actual Promotion/Relegation Outcomes

Across 100,000 simulations that fixed the regular-season standings and projected only the promotion/relegation playoff, each participating team's chance of going up versus staying at this level.

Team	Same level	Lost relegation playoff
CS Petange	100%	—
Etzella Ettelbruck	100%	—
F91 Dudelange	100%	—
Grevenmacher	100%	—
Jeunesse Esch	100%	—
Racing FC Union Luxembourg	100%	—
Swift Hesperange	100%	—
UN Kaerjeng	100%	—
Wiltz 71	100%	—
Victoria Rosport	99.25%	0.75%
Rumelange	0.75%	99.25%
Avenir Beggen	—	100%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2005-08-06	Avenir Beggen	D 0-0	50.2	1017	1018	51.20%	18.67%	30.13%	+0.58	-0.9	1
2005-08-06	@ Racing FC Union Luxembourg	D 0-0	50.2	1018	1017	30.13%	18.67%	51.20%	-0.58	+0.9	1
2005-08-06	Swift Hesperange	D 0-0	50.1	987	1029	45.70%	18.88%	35.42%	+0.26	-0.4	1
2005-08-06	@ Wiltz 71	D 0-0	50.1	1029	987	35.42%	18.88%	45.70%	-0.26	+0.4	1
2005-08-06	Victoria Rosport	D 0-0	50.1	1002	1072	41.80%	18.94%	39.26%	+0.05	-0.1	1
2005-08-06	@ Rumelange	D 0-0	50.1	1072	1002	39.26%	18.94%	41.80%	-0.05	+0.1	1
2005-08-07	F91 Dudelange	L 0-3	35.7	1135	1267	33.17%	18.81%	48.02%	-0.44	-16.3	0
2005-08-07	@ Jeunesse Esch	W 3-0	35.7	1267	1135	48.02%	18.81%	33.17%	+0.44	+16.3	3
2005-08-07	Grevenmacher	W 2-1	41.6	1179	1137	56.45%	18.30%	25.25%	+0.91	+4.4	3
2005-08-07	@ Etzella Ettelbruck	L 1-2	41.6	1137	1179	25.25%	18.30%	56.45%	-0.91	-4.4	0
2005-08-07	CS Petange	W 3-1	41.9	1028	1041	49.47%	18.75%	31.78%	+0.48	+9.3	3
2005-08-07	@ UN Kaerjeng	L 1-3	41.9	1041	1028	31.78%	18.75%	49.47%	-0.48	-9.4	0
2005-08-10	Etzella Ettelbruck	L 1-3	41.0	1018	1184	29.02%	18.60%	52.38%	-0.69	-8.6	1
2005-08-10	@ Avenir Beggen	W 3-1	41.0	1184	1018	52.38%	18.60%	29.02%	+0.69	+8.6	6
2005-08-10	Jeunesse Esch	L 1-4	41.1	1002	1119	35.19%	18.88%	45.93%	-0.32	-14.4	1
2005-08-10	@ Rumelange	W 4-1	41.1	1119	1002	45.93%	18.88%	35.19%	+0.32	+14.4	3
2005-08-10	Racing FC Union Luxembourg	L 1-2	50.0	1032	1016	53.33%	18.54%	28.13%	+0.71	-8.4	0
2005-08-10	@ CS Petange	W 2-1	50.0	1016	1032	28.13%	18.54%	53.33%	-0.71	+8.4	4
2005-08-10	UN Kaerjeng	D 0-0	50.2	1029	1037	50.26%	18.72%	31.03%	+0.52	-0.8	2
2005-08-10	@ Swift Hesperange	D 0-0	50.2	1037	1029	31.03%	18.72%	50.26%	-0.52	+0.8	4
2005-08-10	Victoria Rosport	L 0-1	46.8	1133	1072	58.70%	18.08%	23.23%	+1.06	-9.7	0
2005-08-10	@ Grevenmacher	W 1-0	46.8	1072	1133	23.23%	18.08%	58.70%	-1.06	+9.7	4
2005-08-10	Wiltz 71	W 2-0	28.1	1283	986	78.49%	13.70%	7.81%	+2.88	+2.7	6
2005-08-10	@ F91 Dudelange	L 0-2	28.1	986	1283	7.81%	13.70%	78.49%	-2.88	-2.7	1
2005-08-14	Avenir Beggen	W 3-0	31.9	1082	1010	59.89%	17.94%	22.17%	+1.14	+11.4	7
2005-08-14	@ Victoria Rosport	L 0-3	31.9	1010	1082	22.17%	17.94%	59.89%	-1.14	-11.4	1
2005-08-14	F91 Dudelange	L 0-4	30.4	1038	1286	20.30%	17.67%	62.02%	-1.34	-13.7	4
2005-08-14	@ UN Kaerjeng	W 4-0	30.4	1286	1038	62.02%	17.67%	20.30%	+1.34	+13.7	9
2005-08-14	Jeunesse Esch	L 1-3	41.6	984	1133	30.91%	18.71%	50.38%	-0.57	-9.1	1
2005-08-14	@ Wiltz 71	W 3-1	41.6	1133	984	50.38%	18.71%	30.91%	+0.57	+9.1	6
2005-08-14	Rumelange	W 4-0	29.0	1123	988	66.35%	16.99%	16.67%	+1.63	+11.3	3
2005-08-14	@ Grevenmacher	L 0-4	29.0	988	1123	16.67%	16.99%	66.35%	-1.63	-11.3	1
2005-08-14	Swift Hesperange	W 3-0	34.6	1024	1028	50.80%	18.69%	30.51%	+0.56	+15.1	7
2005-08-14	@ Racing FC Union Luxembourg	L 0-3	34.6	1028	1024	30.51%	18.69%	50.80%	-0.56	-15.2	2
2005-08-14	CS Petange	W 5-0	27.9	1192	1024	69.29%	16.39%	14.32%	+1.89	+12.0	9
2005-08-14	@ Etzella Ettelbruck	L 0-5	27.9	1024	1192	14.32%	16.39%	69.29%	-1.89	-12.0	0
2005-08-20	Grevenmacher	L 0-11	35.3	998	1135	32.59%	18.79%	48.62%	-0.47	-54.7	1
2005-08-20	@ Avenir Beggen	W 11-0	35.3	1135	998	48.62%	18.79%	32.59%	+0.47	+54.7	6
2005-08-20	Wiltz 71	L 1-3	47.8	977	975	51.55%	18.65%	29.80%	+0.60	-14.0	1
2005-08-20	@ Rumelange	W 3-1	47.8	975	977	29.80%	18.65%	51.55%	-0.60	+14.1	4
2005-08-21	Etzella Ettelbruck	L 2-3	46.7	1013	1204	26.02%	18.37%	55.62%	-0.90	-4.3	2
2005-08-21	@ Swift Hesperange	W 3-2	46.7	1204	1013	55.62%	18.37%	26.02%	+0.90	+4.3	12
2005-08-21	Racing FC Union Luxembourg	W 5-0	25.9	1300	1040	76.18%	14.51%	9.31%	+2.60	+7.7	12
2005-08-21	@ F91 Dudelange	L 0-5	25.9	1040	1300	9.31%	14.51%	76.18%	-2.60	-7.7	7
2005-08-21	UN Kaerjeng	W 2-0	32.2	1142	1024	64.72%	17.27%	18.01%	+1.50	+6.5	9
2005-08-21	@ Jeunesse Esch	L 0-2	32.2	1024	1142	18.01%	17.27%	64.72%	-1.50	-6.5	4
2005-08-21	Victoria Rosport	W 2-0	39.6	1012	1093	40.09%	18.94%	40.97%	-0.04	+13.3	3
2005-08-21	@ CS Petange	L 0-2	39.6	1093	1012	40.97%	18.94%	40.09%	+0.04	-13.3	7
2005-09-10	Rumelange	L 1-2	48.7	944	962	48.82%	18.78%	32.40%	+0.44	-7.7	1
2005-09-10	@ Avenir Beggen	W 2-1	48.7	962	944	32.40%	18.78%	48.82%	-0.44	+7.7	4
2005-09-11	Jeunesse Esch	L 0-1	40.0	1032	1149	35.13%	18.87%	46.00%	-0.32	-6.2	7
2005-09-11	@ Racing FC Union Luxembourg	W 1-0	40.0	1149	1032	46.00%	18.87%	35.13%	+0.32	+6.2	12
2005-09-12	F91 Dudelange	W 1-0	42.9	1209	1307	37.62%	18.92%	43.46%	-0.18	+7.4	15
2005-09-12	@ Etzella Ettelbruck	L 0-1	42.9	1307	1209	43.46%	18.92%	37.62%	+0.18	-7.4	12
2005-09-12	Swift Hesperange	W 4-3	48.7	1080	1009	59.80%	17.95%	22.25%	+1.13	+3.6	10
2005-09-12	@ Victoria Rosport	L 3-4	48.7	1009	1080	22.25%	17.95%	59.80%	-1.13	-3.6	2
2005-09-12	CS Petange	W 2-1	37.8	1189	1025	68.93%	16.47%	14.59%	+1.86	+2.6	9
2005-09-12	@ Grevenmacher	L 1-2	37.8	1025	1189	14.59%	16.47%	68.93%	-1.86	-2.6	3
2005-09-12	Wiltz 71	W 2-0	35.1	1018	989	54.92%	18.42%	26.66%	+0.81	+9.3	7
2005-09-12	@ UN Kaerjeng	L 0-2	35.1	989	1018	26.66%	18.42%	54.92%	-0.81	-9.3	4
2005-09-17	Racing FC Union Luxembourg	L 1-2	47.6	979	1026	45.07%	18.90%	36.04%	+0.23	-7.2	4
2005-09-17	@ Wiltz 71	W 2-1	47.6	1026	979	36.04%	18.90%	45.07%	-0.23	+7.2	10
2005-09-17	UN Kaerjeng	L 3-5	52.0	970	1027	43.62%	18.92%	37.46%	+0.15	-10.3	4
2005-09-17	@ Rumelange	W 5-3	52.0	1027	970	37.46%	18.92%	43.62%	-0.15	+10.3	10
2005-09-18	Avenir Beggen	W 2-0	33.1	1022	936	61.47%	17.75%	20.78%	+1.25	+7.4	6
2005-09-18	@ CS Petange	L 0-2	33.1	936	1022	20.78%	17.75%	61.47%	-1.25	-7.4	1
2005-09-18	Etzella Ettelbruck	W 3-0	37.1	1155	1216	43.01%	18.93%	38.06%	+0.11	+18.2	15
2005-09-18	@ Jeunesse Esch	L 0-3	37.1	1216	1155	38.06%	18.93%	43.01%	-0.11	-18.2	15
2005-09-18	Grevenmacher	W 3-1	48.8	1005	1192	26.49%	18.41%	55.10%	-0.86	+14.9	5
2005-09-18	@ Swift Hesperange	L 1-3	48.8	1192	1005	55.10%	18.41%	26.49%	+0.86	-14.9	9
2005-09-18	Victoria Rosport	W 3-0	28.1	1300	1083	73.12%	15.44%	11.44%	+2.26	+5.9	15
2005-09-18	@ F91 Dudelange	L 0-3	28.1	1083	1300	11.44%	15.44%	73.12%	-2.26	-6.0	10
2005-09-22	Jeunesse Esch	W 1-0	42.4	1077	1173	38.02%	18.93%	43.05%	-0.16	+7.4	13
2005-09-22	@ Victoria Rosport	L 0-1	42.4	1173	1077	43.05%	18.93%	38.02%	+0.16	-7.4	15
2005-09-22	Swift Hesperange	L 1-5	40.4	929	1020	38.66%	18.94%	42.41%	-0.12	-20.1	1
2005-09-22	@ Avenir Beggen	W 5-1	40.4	1020	929	42.41%	18.94%	38.66%	+0.12	+20.1	8
2005-09-22	UN Kaerjeng	W 1-0	38.5	1033	1037	50.73%	18.69%	30.57%	+0.55	+5.5	13
2005-09-22	@ Racing FC Union Luxembourg	L 0-1	38.5	1037	1033	30.57%	18.69%	50.73%	-0.55	-5.5	10
2005-09-24	F91 Dudelange	D 1-1	54.3	1177	1306	33.57%	18.83%	47.61%	-0.41	+0.5	10
2005-09-24	@ Grevenmacher	D 1-1	54.3	1306	1177	47.61%	18.83%	33.57%	+0.41	-0.5	16
2005-09-25	Rumelange	W 4-2	43.0	1030	960	59.67%	17.97%	22.36%	+1.13	+6.1	9
2005-09-25	@ CS Petange	L 2-4	43.0	960	1030	22.36%	17.97%	59.67%	-1.13	-6.1	4
2005-09-25	Wiltz 71	L 1-2	55.1	1198	972	73.78%	15.25%	10.96%	+2.33	-11.3	15
2005-09-25	@ Etzella Ettelbruck	W 2-1	55.1	972	1198	10.96%	15.25%	73.78%	-2.33	+11.3	7
2005-10-16	Avenir Beggen	W 4-1	29.7	1305	908	83.78%	11.43%	4.79%	+3.66	+2.0	19
2005-10-16	@ F91 Dudelange	L 1-4	29.7	908	1305	4.79%	11.43%	83.78%	-3.66	-2.0	1
2005-10-16	Racing FC Union Luxembourg	D 1-1	53.9	954	1038	39.63%	18.94%	41.42%	-0.07	+0.1	5
2005-10-16	@ Rumelange	D 1-1	53.9	1038	954	41.42%	18.94%	39.63%	+0.07	-0.1	14
2005-10-16	CS Petange	D 1-1	54.0	1040	1036	51.83%	18.63%	29.54%	+0.62	-0.8	9
2005-10-16	@ Swift Hesperange	D 1-1	54.0	1036	1040	29.54%	18.63%	51.83%	-0.62	+0.8	10
2005-10-16	Victoria Rosport	W 3-0	38.7	983	1085	37.26%	18.92%	43.82%	-0.20	+20.5	10
2005-10-16	@ Wiltz 71	L 0-3	38.7	1085	983	43.82%	18.92%	37.26%	+0.20	-20.5	13
2005-10-17	Etzella Ettelbruck	D 2-2	59.1	1032	1186	30.25%	18.68%	51.08%	-0.61	+0.6	11
2005-10-17	@ UN Kaerjeng	D 2-2	59.1	1186	1032	51.08%	18.68%	30.25%	+0.61	-0.6	16
2005-10-17	Grevenmacher	W 4-2	46.2	1166	1178	49.76%	18.74%	31.50%	+0.50	+8.3	18
2005-10-17	@ Jeunesse Esch	L 2-4	46.2	1178	1166	31.50%	18.74%	49.76%	-0.50	-8.3	10
2005-10-23	F91 Dudelange	L 0-1	34.6	1037	1307	18.37%	17.34%	64.29%	-1.51	-3.5	10
2005-10-23	@ CS Petange	W 1-0	34.6	1307	1037	64.29%	17.34%	18.37%	+1.51	+3.5	22
2005-10-23	Jeunesse Esch	L 0-1	34.5	906	1174	18.61%	17.38%	64.01%	-1.49	-3.5	1
2005-10-23	@ Avenir Beggen	W 1-0	34.5	1174	906	64.01%	17.38%	18.61%	+1.49	+3.5	21
2005-10-23	Racing FC Union Luxembourg	L 1-3	52.0	1186	1038	67.46%	16.78%	15.77%	+1.73	-18.0	16
2005-10-23	@ Etzella Ettelbruck	W 3-1	52.0	1038	1186	15.77%	16.78%	67.46%	-1.73	+18.0	17
2005-10-23	Rumelange	W 1-0	35.3	1039	954	61.36%	17.76%	20.88%	+1.25	+3.9	12
2005-10-23	@ Swift Hesperange	L 0-1	35.3	954	1039	20.88%	17.76%	61.36%	-1.25	-3.9	5
2005-10-23	UN Kaerjeng	D 1-1	54.0	1064	1032	55.31%	18.39%	26.30%	+0.83	-1.1	14
2005-10-23	@ Victoria Rosport	D 1-1	54.0	1032	1064	26.30%	18.39%	55.31%	-0.83	+1.1	12
2005-10-23	Wiltz 71	W 3-1	36.0	1169	1004	69.03%	16.45%	14.52%	+1.87	+4.5	13
2005-10-23	@ Grevenmacher	L 1-3	36.0	1004	1169	14.52%	16.45%	69.03%	-1.87	-4.5	10
2005-10-26	Avenir Beggen	W 4-0	30.2	999	903	62.51%	17.61%	19.89%	+1.33	+13.4	13
2005-10-26	@ Wiltz 71	L 0-4	30.2	903	999	19.89%	17.61%	62.51%	-1.33	-13.4	1
2005-10-26	Etzella Ettelbruck	L 0-2	34.0	950	1168	23.20%	18.07%	58.73%	-1.10	-8.2	5
2005-10-26	@ Rumelange	W 2-0	34.0	1168	950	58.73%	18.07%	23.20%	+1.10	+8.2	19
2005-10-26	Grevenmacher	W 5-1	43.6	1033	1174	32.04%	18.77%	49.20%	-0.50	+24.6	15
2005-10-26	@ UN Kaerjeng	L 1-5	43.6	1174	1033	49.20%	18.77%	32.04%	+0.50	-24.6	13
2005-10-26	Swift Hesperange	W 3-1	33.9	1311	1043	76.67%	14.35%	8.98%	+2.66	+2.8	25
2005-10-26	@ F91 Dudelange	L 1-3	33.9	1043	1311	8.98%	14.35%	76.67%	-2.66	-2.8	12
2005-10-26	CS Petange	L 0-1	49.0	1178	1033	67.18%	16.83%	15.99%	+1.70	-11.0	21
2005-10-26	@ Jeunesse Esch	W 1-0	49.0	1033	1178	15.99%	16.83%	67.18%	-1.70	+11.0	13
2005-10-26	Victoria Rosport	W 5-0	33.5	1056	1063	50.39%	18.71%	30.90%	+0.53	+24.7	20
2005-10-26	@ Racing FC Union Luxembourg	L 0-5	33.5	1063	1056	30.90%	18.71%	50.39%	-0.53	-24.7	14
2005-10-30	Etzella Ettelbruck	L 1-2	43.8	1038	1176	32.43%	18.78%	48.79%	-0.48	-5.5	14
2005-10-30	@ Victoria Rosport	W 2-1	43.8	1176	1038	48.79%	18.78%	32.43%	+0.48	+5.5	22
2005-10-30	Jeunesse Esch	W 2-1	48.3	1040	1167	33.88%	18.84%	47.28%	-0.39	+7.5	15
2005-10-30	@ Swift Hesperange	L 1-2	48.3	1167	1040	47.28%	18.84%	33.88%	+0.39	-7.5	21
2005-10-30	Racing FC Union Luxembourg	L 0-2	44.9	1149	1081	59.50%	17.99%	22.51%	+1.11	-18.5	13
2005-10-30	@ Grevenmacher	W 2-0	44.9	1081	1149	22.51%	17.99%	59.50%	-1.11	+18.5	23
2005-10-30	Rumelange	W 6-1	27.2	1314	942	82.58%	12.00%	5.42%	+3.46	+3.6	28
2005-10-30	@ F91 Dudelange	L 1-6	27.2	942	1314	5.42%	12.00%	82.58%	-3.46	-3.6	5
2005-10-30	UN Kaerjeng	L 0-3	34.0	890	1058	28.63%	18.57%	52.79%	-0.72	-14.3	1
2005-10-30	@ Avenir Beggen	W 3-0	34.0	1058	890	52.79%	18.57%	28.63%	+0.72	+14.3	18
2005-10-30	Wiltz 71	D 1-1	54.0	1044	1013	55.23%	18.40%	26.37%	+0.83	-1.1	14
2005-10-30	@ CS Petange	D 1-1	54.0	1013	1044	26.37%	18.40%	55.23%	-0.83	+1.1	14
2005-11-06	Avenir Beggen	W 5-0	24.9	1182	875	79.06%	13.48%	7.46%	+2.96	+6.1	25
2005-11-06	@ Etzella Ettelbruck	L 0-5	24.9	875	1182	7.46%	13.48%	79.06%	-2.96	-6.1	1
2005-11-06	F91 Dudelange	D 1-1	54.6	1014	1317	15.83%	16.79%	67.38%	-1.76	+2.1	15
2005-11-06	@ Wiltz 71	D 1-1	54.6	1317	1014	67.38%	16.79%	15.83%	+1.76	-2.1	29
2005-11-06	Grevenmacher	L 1-4	41.9	1033	1131	37.77%	18.93%	43.31%	-0.17	-15.3	14
2005-11-06	@ Victoria Rosport	W 4-1	41.9	1131	1033	43.31%	18.93%	37.77%	+0.17	+15.3	16
2005-11-06	Rumelange	W 5-0	26.6	1159	938	73.45%	15.35%	11.20%	+2.30	+9.4	24
2005-11-06	@ Jeunesse Esch	L 0-5	26.6	938	1159	11.20%	15.35%	73.45%	-2.30	-9.4	5
2005-11-06	Swift Hesperange	D 1-1	54.0	1072	1048	54.34%	18.47%	27.19%	+0.77	-1.0	19
2005-11-06	@ UN Kaerjeng	D 1-1	54.0	1048	1072	27.19%	18.47%	54.34%	-0.77	+1.0	16
2005-11-06	CS Petange	L 1-3	49.6	1099	1043	58.15%	18.13%	23.72%	+1.02	-15.7	23
2005-11-06	@ Racing FC Union Luxembourg	W 3-1	49.6	1043	1099	23.72%	18.13%	58.15%	-1.02	+15.7	17
2005-11-12	Etzella Ettelbruck	L 1-3	42.5	1059	1188	33.56%	18.83%	47.62%	-0.41	-9.8	17
2005-11-12	@ CS Petange	W 3-1	42.5	1188	1059	47.62%	18.83%	33.56%	+0.41	+9.8	28
2005-11-12	Grevenmacher	L 0-6	31.2	929	1146	23.27%	18.08%	58.64%	-1.10	-22.8	5
2005-11-12	@ Rumelange	W 6-0	31.2	1146	929	58.64%	18.08%	23.27%	+1.10	+22.8	19
2005-11-12	Racing FC Union Luxembourg	W 3-2	49.4	1049	1084	46.66%	18.86%	34.49%	+0.32	+5.5	19
2005-11-12	@ Swift Hesperange	L 2-3	49.4	1084	1049	34.49%	18.86%	46.66%	-0.32	-5.5	23
2005-11-12	UN Kaerjeng	W 4-0	26.6	1315	1071	75.08%	14.87%	10.05%	+2.47	+6.8	32
2005-11-12	@ F91 Dudelange	L 0-4	26.6	1071	1315	10.05%	14.87%	75.08%	-2.47	-6.8	19
2005-11-12	Victoria Rosport	D 1-1	53.9	869	1018	31.03%	18.72%	50.25%	-0.57	+0.7	2
2005-11-12	@ Avenir Beggen	D 1-1	53.9	1018	869	50.25%	18.72%	31.03%	+0.57	-0.7	15
2005-11-12	Wiltz 71	D 1-1	54.6	1169	1016	67.91%	16.68%	15.40%	+1.77	-2.1	25
2005-11-12	@ Jeunesse Esch	D 1-1	54.6	1016	1169	15.40%	16.68%	67.91%	-1.77	+2.1	16
2005-11-20	Avenir Beggen	W 2-0	28.0	1169	870	78.62%	13.65%	7.73%	+2.90	+2.7	22
2005-11-20	@ Grevenmacher	L 0-2	28.0	870	1169	7.73%	13.65%	78.62%	-2.90	-2.7	2
2005-11-20	F91 Dudelange	W 1-0	47.7	1078	1322	20.73%	17.74%	61.54%	-1.30	+10.1	26
2005-11-20	@ Racing FC Union Luxembourg	L 0-1	47.7	1322	1078	61.54%	17.74%	20.73%	+1.30	-10.1	32
2005-11-20	Jeunesse Esch	L 1-4	41.7	1064	1167	37.15%	18.92%	43.93%	-0.21	-15.1	19
2005-11-20	@ UN Kaerjeng	W 4-1	41.7	1167	1064	43.93%	18.92%	37.15%	+0.21	+15.1	28
2005-11-20	Rumelange	W 1-0	34.5	1018	906	64.09%	17.37%	18.54%	+1.45	+3.5	19
2005-11-20	@ Wiltz 71	L 0-1	34.5	906	1018	18.54%	17.37%	64.09%	-1.45	-3.5	5
2005-11-20	Swift Hesperange	W 2-1	38.3	1197	1054	67.04%	16.86%	16.11%	+1.69	+2.9	31
2005-11-20	@ Etzella Ettelbruck	L 1-2	38.3	1054	1197	16.11%	16.86%	67.04%	-1.69	-2.9	19
2005-11-20	CS Petange	W 1-0	39.6	1017	1049	47.03%	18.84%	34.13%	+0.34	+6.1	18
2005-11-20	@ Victoria Rosport	L 0-1	39.6	1049	1017	34.13%	18.84%	47.03%	-0.34	-6.1	17
2005-12-04	Jeunesse Esch	W 2-1	42.5	1200	1182	53.66%	18.52%	27.82%	+0.73	+4.8	34
2005-12-04	@ Etzella Ettelbruck	L 1-2	42.5	1182	1200	27.82%	18.52%	53.66%	-0.73	-4.8	28
2005-12-04	Rumelange	W 1-0	33.5	1049	903	67.38%	16.79%	15.83%	+1.72	+3.0	22
2005-12-04	@ UN Kaerjeng	L 0-1	33.5	903	1049	15.83%	16.79%	67.38%	-1.72	-3.0	5
2005-12-04	Swift Hesperange	W 3-0	30.5	1171	1052	64.87%	17.24%	17.89%	+1.51	+9.3	25
2005-12-04	@ Grevenmacher	L 0-3	30.5	1052	1171	17.89%	17.24%	64.87%	-1.51	-9.3	19
2005-12-04	CS Petange	L 1-2	42.3	867	1043	27.76%	18.51%	53.73%	-0.78	-4.8	2
2005-12-04	@ Avenir Beggen	W 2-1	42.3	1043	867	53.73%	18.51%	27.76%	+0.78	+4.8	20
2005-12-04	Wiltz 71	D 2-2	59.3	1088	1022	59.34%	18.01%	22.66%	+1.10	-1.1	27
2005-12-04	@ Racing FC Union Luxembourg	D 2-2	59.3	1022	1088	22.66%	18.01%	59.34%	-1.10	+1.1	20
2005-12-09	Racing FC Union Luxembourg	W 2-1	44.4	1052	1087	46.62%	18.86%	34.52%	+0.31	+5.8	25
2005-12-09	@ UN Kaerjeng	L 1-2	44.4	1087	1052	34.52%	18.86%	46.62%	-0.31	-5.8	27
2005-12-10	Etzella Ettelbruck	W 4-3	58.5	1023	1205	26.99%	18.45%	54.56%	-0.83	+7.9	23
2005-12-10	@ Wiltz 71	L 3-4	58.5	1205	1023	54.56%	18.45%	26.99%	+0.83	-7.9	34
2005-12-10	Grevenmacher	L 1-2	53.7	1312	1181	65.92%	17.06%	17.02%	+1.60	-10.2	32
2005-12-10	@ F91 Dudelange	W 2-1	53.7	1181	1312	17.02%	17.06%	65.92%	-1.60	+10.2	28
2005-12-11	Avenir Beggen	D 1-1	54.7	1042	862	70.25%	16.18%	13.58%	+1.98	-2.3	20
2005-12-11	@ Swift Hesperange	D 1-1	54.7	862	1042	13.58%	16.18%	70.25%	-1.98	+2.3	3
2005-12-11	CS Petange	L 1-3	41.7	900	1048	31.08%	18.72%	50.20%	-0.56	-9.2	5
2005-12-11	@ Rumelange	W 3-1	41.7	1048	900	50.20%	18.72%	31.08%	+0.56	+9.2	23
2005-12-11	Victoria Rosport	W 2-0	31.2	1177	1023	68.00%	16.67%	15.33%	+1.78	+5.5	31
2005-12-11	@ Jeunesse Esch	L 0-2	31.2	1023	1177	15.33%	16.67%	68.00%	-1.78	-5.5	18
2005-12-14	F91 Dudelange	L 2-4	41.4	1018	1302	17.29%	17.12%	65.59%	-1.61	-4.8	18
2005-12-14	@ Victoria Rosport	W 4-2	41.4	1302	1018	65.59%	17.12%	17.29%	+1.61	+4.8	35
2005-12-16	Grevenmacher	W 1-0	43.9	1057	1191	32.88%	18.80%	48.32%	-0.45	+8.1	26
2005-12-16	@ CS Petange	L 0-1	43.9	1191	1057	48.32%	18.80%	32.88%	+0.45	-8.1	28
2005-12-17	Racing FC Union Luxembourg	W 4-0	30.1	1182	1082	62.97%	17.54%	19.49%	+1.37	+13.2	34
2005-12-17	@ Jeunesse Esch	L 0-4	30.1	1082	1182	19.49%	17.54%	62.97%	-1.37	-13.2	27
2005-12-18	Avenir Beggen	W 4-1	38.5	890	865	54.53%	18.45%	27.02%	+0.78	+11.5	8
2005-12-18	@ Rumelange	L 1-4	38.5	865	890	27.02%	18.45%	54.53%	-0.78	-11.5	3
2005-12-18	Etzella Ettelbruck	W 3-1	38.0	1306	1197	63.81%	17.41%	18.78%	+1.43	+5.8	38
2005-12-18	@ F91 Dudelange	L 1-3	38.0	1197	1306	18.78%	17.41%	63.81%	-1.43	-5.8	34
2006-02-12	UN Kaerjeng	W 3-1	42.4	1031	1058	47.64%	18.83%	33.54%	+0.37	+9.8	26
2006-02-12	@ Wiltz 71	L 1-3	42.4	1058	1031	33.54%	18.83%	47.64%	-0.37	-9.8	25
2006-02-14	Victoria Rosport	D 2-2	59.1	1040	1013	54.71%	18.44%	26.85%	+0.80	-0.8	21
2006-02-14	@ Swift Hesperange	D 2-2	59.1	1013	1040	26.85%	18.44%	54.71%	-0.80	+0.8	19
2006-02-19	F91 Dudelange	D 1-1	55.5	853	1312	7.60%	13.57%	78.83%	-2.97	+2.9	4
2006-02-19	@ Avenir Beggen	D 1-1	55.5	1312	853	78.83%	13.57%	7.60%	+2.97	-2.9	39
2006-02-19	Jeunesse Esch	L 0-2	42.3	1183	1195	49.63%	18.75%	31.62%	+0.49	-15.7	28
2006-02-19	@ Grevenmacher	W 2-0	42.3	1195	1183	31.62%	18.75%	49.63%	-0.49	+15.7	37
2006-02-19	Rumelange	L 0-2	47.2	1068	902	69.11%	16.43%	14.45%	+1.87	-21.2	27
2006-02-19	@ Racing FC Union Luxembourg	W 2-0	47.2	902	1068	14.45%	16.43%	69.11%	-1.87	+21.2	11
2006-02-19	Swift Hesperange	W 1-0	37.4	1065	1039	54.54%	18.45%	27.01%	+0.79	+5.0	29
2006-02-19	@ CS Petange	L 0-1	37.4	1039	1065	27.01%	18.45%	54.54%	-0.79	-5.0	21
2006-02-19	Wiltz 71	D 2-2	59.0	1014	1040	47.74%	18.82%	33.43%	+0.38	-0.4	20
2006-02-19	@ Victoria Rosport	D 2-2	59.0	1040	1014	33.43%	18.82%	47.74%	-0.38	+0.4	27
2006-03-12	F91 Dudelange	L 1-6	32.6	1034	1309	18.00%	17.27%	64.73%	-1.54	-12.5	21
2006-03-12	@ Swift Hesperange	W 6-1	32.6	1309	1034	64.73%	17.27%	18.00%	+1.54	+12.5	42
2006-03-12	Jeunesse Esch	L 1-2	43.7	1070	1211	31.96%	18.76%	49.27%	-0.51	-5.4	29
2006-03-12	@ CS Petange	W 2-1	43.7	1211	1070	49.27%	18.76%	31.96%	+0.51	+5.4	40
2006-03-12	Racing FC Union Luxembourg	L 1-3	46.4	1013	1047	46.77%	18.85%	34.38%	+0.32	-12.9	20
2006-03-12	@ Victoria Rosport	W 3-1	46.4	1047	1013	34.38%	18.85%	46.77%	-0.32	+12.9	30
2006-03-12	Rumelange	W 4-1	31.8	1191	923	76.72%	14.33%	8.95%	+2.66	+3.9	37
2006-03-12	@ Etzella Ettelbruck	L 1-4	31.8	923	1191	8.95%	14.33%	76.72%	-2.66	-3.9	11
2006-03-12	UN Kaerjeng	W 2-1	39.0	1167	1048	64.77%	17.26%	17.97%	+1.51	+3.2	31
2006-03-12	@ Grevenmacher	L 1-2	39.0	1048	1167	17.97%	17.26%	64.77%	-1.51	-3.2	25
2006-03-12	Wiltz 71	L 0-5	32.2	856	1041	26.74%	18.43%	54.83%	-0.84	-21.7	4
2006-03-12	@ Avenir Beggen	W 5-0	32.2	1041	856	54.83%	18.43%	26.74%	+0.84	+21.7	30
2006-03-19	Avenir Beggen	W 8-0	24.4	1217	834	83.10%	11.76%	5.14%	+3.55	+6.4	43
2006-03-19	@ Jeunesse Esch	L 0-8	24.4	834	1217	5.14%	11.76%	83.10%	-3.55	-6.4	4
2006-03-19	Etzella Ettelbruck	W 1-0	44.0	1060	1195	32.71%	18.79%	48.49%	-0.46	+8.2	33
2006-03-19	@ Racing FC Union Luxembourg	L 0-1	44.0	1195	1060	48.49%	18.79%	32.71%	+0.46	-8.2	37
2006-03-19	Grevenmacher	D 0-0	50.1	1062	1170	36.36%	18.90%	44.74%	-0.25	+0.3	31
2006-03-19	@ Wiltz 71	D 0-0	50.1	1170	1062	44.74%	18.90%	36.36%	+0.25	-0.3	32
2006-03-19	Swift Hesperange	D 1-1	53.9	919	1022	37.10%	18.92%	43.98%	-0.21	+0.2	12
2006-03-19	@ Rumelange	D 1-1	53.9	1022	919	43.98%	18.92%	37.10%	+0.21	-0.3	22
2006-03-19	CS Petange	W 5-1	30.5	1322	1065	75.98%	14.58%	9.44%	+2.58	+5.3	45
2006-03-19	@ F91 Dudelange	L 1-5	30.5	1065	1322	9.44%	14.58%	75.98%	-2.58	-5.3	29
2006-03-19	Victoria Rosport	W 1-0	36.7	1045	1000	56.82%	18.26%	24.92%	+0.93	+4.6	28
2006-03-19	@ UN Kaerjeng	L 0-1	36.7	1000	1045	24.92%	18.26%	56.82%	-0.93	-4.6	20
2006-03-22	UN Kaerjeng	L 1-3	51.8	1187	1050	66.53%	16.95%	16.52%	+1.65	-17.8	37
2006-03-22	@ Etzella Ettelbruck	W 3-1	51.8	1050	1187	16.52%	16.95%	66.53%	-1.65	+17.8	31
2006-03-26	Avenir Beggen	W 3-0	27.4	1067	828	74.78%	14.96%	10.26%	+2.44	+5.3	34
2006-03-26	@ UN Kaerjeng	L 0-3	27.4	828	1067	10.26%	14.96%	74.78%	-2.44	-5.3	4
2006-03-26	F91 Dudelange	L 0-4	26.3	919	1327	9.72%	14.71%	75.57%	-2.57	-6.6	12
2006-03-26	@ Rumelange	W 4-0	26.3	1327	919	75.57%	14.71%	9.72%	+2.57	+6.5	48
2006-03-26	Grevenmacher	L 0-2	38.5	1068	1170	37.19%	18.92%	43.89%	-0.20	-12.3	33
2006-03-26	@ Racing FC Union Luxembourg	W 2-0	38.5	1170	1068	43.89%	18.92%	37.19%	+0.20	+12.3	35
2006-03-26	Swift Hesperange	D 1-1	54.9	1223	1022	71.97%	15.75%	12.28%	+2.15	-2.4	44
2006-03-26	@ Jeunesse Esch	D 1-1	54.9	1022	1223	12.28%	15.75%	71.97%	-2.15	+2.4	23
2006-03-26	CS Petange	W 1-0	38.2	1063	1059	51.74%	18.64%	29.62%	+0.61	+5.4	34
2006-03-26	@ Wiltz 71	L 0-1	38.2	1059	1063	29.62%	18.64%	51.74%	-0.61	-5.4	29
2006-03-26	Victoria Rosport	W 4-2	40.1	1169	996	69.73%	16.29%	13.98%	+1.93	+3.9	40
2006-03-26	@ Etzella Ettelbruck	L 2-4	40.1	996	1169	13.98%	16.29%	69.73%	-1.93	-3.9	20
2006-04-02	Etzella Ettelbruck	W 4-1	39.2	1182	1173	52.45%	18.60%	28.95%	+0.66	+12.2	38
2006-04-02	@ Grevenmacher	L 1-4	39.2	1173	1182	28.95%	18.60%	52.45%	-0.66	-12.2	40
2006-04-02	Jeunesse Esch	W 2-0	33.0	1334	1221	64.20%	17.35%	18.45%	+1.46	+6.6	51
2006-04-02	@ F91 Dudelange	L 0-2	33.0	1221	1334	18.45%	17.35%	64.20%	-1.46	-6.6	44
2006-04-02	Racing FC Union Luxembourg	D 1-1	54.2	823	1056	21.70%	17.88%	60.42%	-1.22	+1.5	5
2006-04-02	@ Avenir Beggen	D 1-1	54.2	1056	823	60.42%	17.88%	21.70%	+1.22	-1.5	34
2006-04-02	Rumelange	W 1-0	35.5	992	913	60.66%	17.85%	21.49%	+1.20	+4.0	23
2006-04-02	@ Victoria Rosport	L 0-1	35.5	913	992	21.49%	17.85%	60.66%	-1.20	-4.0	12
2006-04-02	UN Kaerjeng	W 2-1	43.8	1054	1073	48.80%	18.78%	32.41%	+0.44	+5.5	32
2006-04-02	@ CS Petange	L 1-2	43.8	1073	1054	32.41%	18.78%	48.80%	-0.44	-5.5	34
2006-04-02	Wiltz 71	W 2-0	38.0	1024	1068	45.34%	18.89%	35.77%	+0.24	+11.9	26
2006-04-02	@ Swift Hesperange	L 0-2	38.0	1068	1024	35.77%	18.89%	45.34%	-0.24	-11.9	34

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected 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. The final column is running points within the second phase only.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2006-04-08	Etzella Ettelbruck	W 3-1	39.6	1214	1161	57.76%	18.17%	24.07%	+1.00	+7.3	3
2006-04-08	@ Jeunesse Esch	L 1-3	39.6	1161	1214	24.07%	18.17%	57.76%	-1.00	-7.3	0
2006-04-08	Grevenmacher	D 0-0	51.3	1340	1195	67.28%	16.81%	15.91%	+1.71	-2.3	1
2006-04-08	@ F91 Dudelange	D 0-0	51.3	1195	1340	15.91%	16.81%	67.28%	-1.71	+2.3	1
2006-04-08	Racing FC Union Luxembourg	D 1-1	54.0	1056	1054	51.54%	18.65%	29.81%	+0.60	-0.8	1
2006-04-08	@ Wiltz 71	D 1-1	54.0	1054	1056	29.81%	18.65%	51.54%	-0.60	+0.8	1
2006-04-08	Swift Hesperange	D 1-1	53.9	909	1036	33.80%	18.83%	47.36%	-0.40	+0.5	1
2006-04-08	@ Rumelange	D 1-1	53.9	1036	909	47.36%	18.83%	33.80%	+0.40	-0.5	1
2006-04-08	UN Kaerjeng	W 3-0	34.8	1059	1067	50.26%	18.72%	31.02%	+0.52	+15.4	3
2006-04-08	@ CS Petange	L 0-3	34.8	1067	1059	31.02%	18.72%	50.26%	-0.52	-15.4	0
2006-04-08	Victoria Rosport	L 1-4	38.9	824	996	28.24%	18.55%	53.21%	-0.74	-11.9	0
2006-04-08	@ Avenir Beggen	W 4-1	38.9	996	824	53.21%	18.55%	28.24%	+0.74	+11.9	3
2006-04-22	Avenir Beggen	W 2-0	28.7	1075	812	76.34%	14.46%	9.20%	+2.62	+3.3	6
2006-04-22	@ CS Petange	L 0-2	28.7	812	1075	9.20%	14.46%	76.34%	-2.62	-3.3	0
2006-04-22	Grevenmacher	W 2-0	38.1	1154	1197	45.50%	18.89%	35.61%	+0.25	+11.9	3
2006-04-22	@ Etzella Ettelbruck	L 0-2	38.1	1197	1154	35.61%	18.89%	45.50%	-0.25	-11.9	1
2006-04-22	Jeunesse Esch	W 9-0	30.9	1338	1221	64.55%	17.30%	18.16%	+1.49	+26.5	4
2006-04-22	@ F91 Dudelange	L 0-9	30.9	1221	1338	18.16%	17.30%	64.55%	-1.49	-26.5	3
2006-04-22	Racing FC Union Luxembourg	W 2-0	37.0	1035	1055	48.69%	18.79%	32.53%	+0.43	+11.0	4
2006-04-22	@ Swift Hesperange	L 0-2	37.0	1055	1035	32.53%	18.79%	48.69%	-0.43	-11.0	1
2006-04-22	Rumelange	W 3-1	36.5	1055	909	67.32%	16.80%	15.88%	+1.72	+4.9	4
2006-04-22	@ Wiltz 71	L 1-3	36.5	909	1055	15.88%	16.80%	67.32%	-1.72	-4.9	1
2006-04-22	UN Kaerjeng	D 0-0	50.1	1008	1052	45.35%	18.89%	35.76%	+0.24	-0.4	4
2006-04-22	@ Victoria Rosport	D 0-0	50.1	1052	1008	35.76%	18.89%	45.35%	-0.24	+0.4	1
2006-04-28	CS Petange	W 2-1	45.9	1007	1078	41.62%	18.94%	39.44%	+0.04	+6.5	7
2006-04-28	@ Victoria Rosport	L 1-2	45.9	1078	1007	39.44%	18.94%	41.62%	-0.04	-6.5	6
2006-04-28	Wiltz 71	W 5-1	38.3	1046	1060	49.45%	18.75%	31.79%	+0.48	+17.1	7
2006-04-28	@ Swift Hesperange	L 1-5	38.3	1060	1046	31.79%	18.75%	49.45%	-0.48	-17.1	4
2006-04-29	Rumelange	W 3-1	36.7	1044	904	66.73%	16.91%	16.35%	+1.67	+5.1	4
2006-04-29	@ Racing FC Union Luxembourg	L 1-3	36.7	904	1044	16.35%	16.91%	66.73%	-1.67	-5.1	1
2006-04-30	Avenir Beggen	L 0-1	50.7	1052	809	75.04%	14.88%	10.08%	+2.47	-12.1	1
2006-04-30	@ UN Kaerjeng	W 1-0	50.7	809	1052	10.08%	14.88%	75.04%	-2.47	+12.1	3
2006-04-30	F91 Dudelange	L 0-3	33.5	1166	1364	25.19%	18.29%	56.52%	-0.95	-12.8	3
2006-04-30	@ Etzella Ettelbruck	W 3-0	33.5	1364	1166	56.52%	18.29%	25.19%	+0.95	+12.8	7
2006-04-30	Jeunesse Esch	L 1-4	45.6	1185	1195	50.01%	18.73%	31.26%	+0.51	-19.4	1
2006-04-30	@ Grevenmacher	W 4-1	45.6	1195	1185	31.26%	18.73%	50.01%	-0.51	+19.3	6
2006-05-03	Etzella Ettelbruck	L 2-4	52.5	1166	1153	52.92%	18.57%	28.51%	+0.68	-12.9	1
2006-05-03	@ Grevenmacher	W 4-2	52.5	1153	1166	28.51%	18.57%	52.92%	-0.68	+12.9	6
2006-05-03	Swift Hesperange	W 3-0	35.1	1049	1063	49.42%	18.76%	31.83%	+0.48	+15.7	7
2006-05-03	@ Racing FC Union Luxembourg	L 0-3	35.1	1063	1049	31.83%	18.76%	49.42%	-0.48	-15.7	7
2006-05-04	F91 Dudelange	L 1-4	40.1	1214	1377	29.25%	18.62%	52.14%	-0.68	-12.3	6
2006-05-04	@ Jeunesse Esch	W 4-1	40.1	1377	1214	52.14%	18.62%	29.25%	+0.68	+12.3	10
2006-05-04	CS Petange	W 1-0	47.7	821	1072	20.10%	17.64%	62.26%	-1.35	+10.2	6
2006-05-04	@ Avenir Beggen	L 0-1	47.7	1072	821	62.26%	17.64%	20.10%	+1.35	-10.2	6
2006-05-04	Victoria Rosport	D 3-3	63.4	1040	1014	54.61%	18.45%	26.94%	+0.79	-0.7	2
2006-05-04	@ UN Kaerjeng	D 3-3	63.4	1014	1040	26.94%	18.45%	54.61%	-0.79	+0.7	8
2006-05-04	Wiltz 71	L 0-3	35.0	899	1043	31.62%	18.75%	49.64%	-0.53	-15.6	1
2006-05-04	@ Rumelange	W 3-0	35.0	1043	899	49.64%	18.75%	31.62%	+0.53	+15.6	7
2006-05-06	Swift Hesperange	W 2-0	35.8	1059	1048	52.71%	18.58%	28.71%	+0.67	+9.9	10
2006-05-06	@ Wiltz 71	L 0-2	35.8	1048	1059	28.71%	18.58%	52.71%	-0.67	-9.9	7
2006-05-07	Etzella Ettelbruck	W 3-2	41.9	1390	1166	73.65%	15.29%	11.05%	+2.32	+1.9	13
2006-05-07	@ F91 Dudelange	L 2-3	41.9	1166	1390	11.05%	15.29%	73.65%	-2.32	-1.9	6
2006-05-07	Grevenmacher	W 1-0	36.7	1202	1153	57.31%	18.22%	24.47%	+0.96	+4.6	9
2006-05-07	@ Jeunesse Esch	L 0-1	36.7	1153	1202	24.47%	18.22%	57.31%	-0.96	-4.6	1
2006-05-07	Racing FC Union Luxembourg	W 2-0	43.4	884	1065	27.15%	18.46%	54.39%	-0.82	+17.0	4
2006-05-07	@ Rumelange	L 0-2	43.4	1065	884	54.39%	18.46%	27.15%	+0.82	-17.0	7
2006-05-07	UN Kaerjeng	W 3-2	56.1	831	1040	24.19%	18.19%	57.63%	-1.03	+8.5	9
2006-05-07	@ Avenir Beggen	L 2-3	56.1	1040	831	57.63%	18.19%	24.19%	+1.03	-8.5	2
2006-05-07	Victoria Rosport	D 1-1	54.1	1061	1014	57.06%	18.24%	24.70%	+0.95	-1.2	7
2006-05-07	@ CS Petange	D 1-1	54.1	1014	1061	24.70%	18.24%	57.06%	-0.95	+1.2	9
2006-05-14	Avenir Beggen	L 0-2	47.4	1016	840	69.91%	16.25%	13.84%	+1.95	-21.5	9
2006-05-14	@ Victoria Rosport	W 2-0	47.4	840	1016	13.84%	16.25%	69.91%	-1.95	+21.5	12
2006-05-14	F91 Dudelange	W 4-1	49.2	1148	1391	20.76%	17.74%	61.50%	-1.30	+23.4	4
2006-05-14	@ Grevenmacher	L 1-4	49.2	1391	1148	61.50%	17.74%	20.76%	+1.30	-23.4	13
2006-05-14	Jeunesse Esch	W 2-0	38.1	1164	1206	45.59%	18.88%	35.53%	+0.26	+11.9	9
2006-05-14	@ Etzella Ettelbruck	L 0-2	38.1	1206	1164	35.53%	18.88%	45.59%	-0.26	-11.9	9
2006-05-14	Rumelange	W 2-0	31.6	1038	901	66.50%	16.96%	16.54%	+1.65	+5.9	10
2006-05-14	@ Swift Hesperange	L 0-2	31.6	901	1038	16.54%	16.96%	66.50%	-1.65	-5.9	4
2006-05-14	CS Petange	D 3-3	63.3	1031	1060	47.44%	18.83%	33.73%	+0.36	-0.3	3
2006-05-14	@ UN Kaerjeng	D 3-3	63.3	1060	1031	33.73%	18.83%	47.44%	-0.36	+0.3	8
2006-05-14	Wiltz 71	L 2-3	53.6	1048	1069	48.53%	18.79%	32.68%	+0.42	-7.3	7
2006-05-14	@ Racing FC Union Luxembourg	W 3-2	53.6	1069	1048	32.68%	18.79%	48.53%	-0.42	+7.3	13

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	2006-04-30	10.08%	Avenir Beggen	809	1	@ UN Kaerjeng	1052	0
2	2005-09-25	10.96%	Wiltz 71	972	2	@ Etzella Ettelbruck	1198	1
3	2006-05-14	13.84%	Avenir Beggen	840	2	@ Victoria Rosport	1016	0
4	2006-02-19	14.45%	Rumelange	902	2	@ Racing FC Union Luxembourg	1068	0
5	2005-10-23	15.77%	Racing FC Union Luxembourg	1038	3	@ Etzella Ettelbruck	1186	1
6	2005-10-26	15.99%	CS Petange	1033	1	@ Jeunesse Esch	1178	0
7	2006-03-22	16.52%	UN Kaerjeng	1050	3	@ Etzella Ettelbruck	1187	1
8	2005-12-10	17.02%	Grevenmacher	1181	2	@ F91 Dudelange	1312	1
9	2006-05-04	20.10%	@ Avenir Beggen	821	1	CS Petange	1072	0
10	2005-11-20	20.73%	@ Racing FC Union Luxembourg	1078	1	F91 Dudelange	1322	0
11	2006-05-14	20.76%	@ Grevenmacher	1148	4	F91 Dudelange	1391	1
12	2005-10-30	22.51%	Racing FC Union Luxembourg	1081	2	@ Grevenmacher	1149	0
13	2005-08-10	23.23%	Victoria Rosport	1072	1	@ Grevenmacher	1133	0
14	2005-11-06	23.72%	CS Petange	1043	3	@ Racing FC Union Luxembourg	1099	1
15	2006-05-07	24.19%	@ Avenir Beggen	831	3	UN Kaerjeng	1040	2
16	2005-09-18	26.49%	@ Swift Hesperange	1005	3	Grevenmacher	1192	1
17	2005-12-10	26.99%	@ Wiltz 71	1023	4	Etzella Ettelbruck	1205	3
18	2006-05-07	27.15%	@ Rumelange	884	2	Racing FC Union Luxembourg	1065	0
19	2005-08-10	28.13%	Racing FC Union Luxembourg	1016	2	@ CS Petange	1032	1
20	2006-05-03	28.51%	Etzella Ettelbruck	1153	4	@ Grevenmacher	1166	2
21	2005-08-20	29.80%	Wiltz 71	975	3	@ Rumelange	977	1
22	2006-04-30	31.26%	Jeunesse Esch	1195	4	@ Grevenmacher	1185	1
23	2006-02-19	31.62%	Jeunesse Esch	1195	2	@ Grevenmacher	1183	0
24	2005-10-26	32.04%	@ UN Kaerjeng	1033	5	Grevenmacher	1174	1
25	2005-09-10	32.40%	Rumelange	962	2	@ Avenir Beggen	944	1

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2005-08-20	54.71	Grevenmacher	11	1135	48.62%	@ Avenir Beggen	0	998	32.59%	18.79%
2	2006-04-22	26.55	@ F91 Dudelange	9	1338	64.55%	Jeunesse Esch	0	1221	18.16%	17.30%
3	2005-10-26	24.65	@ Racing FC Union Luxembourg	5	1056	50.39%	Victoria Rosport	0	1063	30.90%	18.71%
4	2005-10-26	24.62	@ UN Kaerjeng	5	1033	32.04%	Grevenmacher	1	1174	49.20%	18.77%
5	2006-05-14	23.36	@ Grevenmacher	4	1148	20.76%	F91 Dudelange	1	1391	61.50%	17.74%
6	2005-11-12	22.78	Grevenmacher	6	1146	58.64%	@ Rumelange	0	929	23.27%	18.08%
7	2006-03-12	21.73	Wiltz 71	5	1041	54.83%	@ Avenir Beggen	0	856	26.74%	18.43%
8	2006-05-14	21.47	Avenir Beggen	2	840	13.84%	@ Victoria Rosport	0	1016	69.91%	16.25%
9	2006-02-19	21.25	Rumelange	2	902	14.45%	@ Racing FC Union Luxembourg	0	1068	69.11%	16.43%
10	2005-10-16	20.48	@ Wiltz 71	3	983	37.26%	Victoria Rosport	0	1085	43.82%	18.92%
11	2005-09-22	20.12	Swift Hesperange	5	1020	42.41%	@ Avenir Beggen	1	929	38.66%	18.94%
12	2006-04-30	19.35	Jeunesse Esch	4	1195	31.26%	@ Grevenmacher	1	1185	50.01%	18.73%
13	2005-10-30	18.49	Racing FC Union Luxembourg	2	1081	22.51%	@ Grevenmacher	0	1149	59.50%	17.99%
14	2005-09-18	18.24	@ Jeunesse Esch	3	1155	43.01%	Etzella Ettelbruck	0	1216	38.06%	18.93%
15	2005-10-23	18.00	Racing FC Union Luxembourg	3	1038	15.77%	@ Etzella Ettelbruck	1	1186	67.46%	16.78%
16	2006-03-22	17.77	UN Kaerjeng	3	1050	16.52%	@ Etzella Ettelbruck	1	1187	66.53%	16.95%
17	2006-04-28	17.08	@ Swift Hesperange	5	1046	49.45%	Wiltz 71	1	1060	31.79%	18.75%
18	2006-05-07	17.03	@ Rumelange	2	884	27.15%	Racing FC Union Luxembourg	0	1065	54.39%	18.46%
19	2005-08-07	16.27	F91 Dudelange	3	1267	48.02%	@ Jeunesse Esch	0	1135	33.17%	18.81%
20	2006-05-03	15.70	@ Racing FC Union Luxembourg	3	1049	49.42%	Swift Hesperange	0	1063	31.83%	18.76%
21	2006-02-19	15.69	Jeunesse Esch	2	1195	31.62%	@ Grevenmacher	0	1183	49.63%	18.75%
22	2005-11-06	15.68	CS Petange	3	1043	23.72%	@ Racing FC Union Luxembourg	1	1099	58.15%	18.13%
23	2006-05-04	15.62	Wiltz 71	3	1043	49.64%	@ Rumelange	0	899	31.62%	18.75%
24	2006-04-08	15.37	@ CS Petange	3	1059	50.26%	UN Kaerjeng	0	1067	31.02%	18.72%
25	2005-11-06	15.29	Grevenmacher	4	1131	43.31%	@ Victoria Rosport	1	1033	37.77%	18.93%

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 %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2006-05-04	63.4	@ UN Kaerjeng	3	1040	54.61%	Victoria Rosport	3	1014	26.94%	18.45%
2	2006-05-14	63.3	@ UN Kaerjeng	3	1031	47.44%	CS Petange	3	1060	33.73%	18.83%
3	2005-12-04	59.3	@ Racing FC Union Luxembourg	2	1088	59.34%	Wiltz 71	2	1022	22.66%	18.01%
4	2005-10-17	59.1	@ UN Kaerjeng	2	1032	30.25%	Etzella Ettelbruck	2	1186	51.08%	18.68%
5	2006-02-14	59.1	@ Swift Hesperange	2	1040	54.71%	Victoria Rosport	2	1013	26.85%	18.44%
6	2006-02-19	59.0	@ Victoria Rosport	2	1014	47.74%	Wiltz 71	2	1040	33.43%	18.82%
7	2005-12-10	58.5	@ Wiltz 71	4	1023	26.99%	Etzella Ettelbruck	3	1205	54.56%	18.45%
8	2006-05-07	56.1	@ Avenir Beggen	3	831	24.19%	UN Kaerjeng	2	1040	57.63%	18.19%
9	2006-02-19	55.5	@ Avenir Beggen	1	853	7.60%	F91 Dudelange	1	1312	78.83%	13.57%
10	2005-09-25	55.1	Wiltz 71	2	972	10.96%	@ Etzella Ettelbruck	1	1198	73.78%	15.25%
11	2006-03-26	54.9	@ Jeunesse Esch	1	1223	71.97%	Swift Hesperange	1	1022	12.28%	15.75%
12	2005-12-11	54.7	@ Swift Hesperange	1	1042	70.25%	Avenir Beggen	1	862	13.58%	16.18%
13	2005-11-06	54.6	@ Wiltz 71	1	1014	15.83%	F91 Dudelange	1	1317	67.38%	16.79%
14	2005-11-12	54.6	@ Jeunesse Esch	1	1169	67.91%	Wiltz 71	1	1016	15.40%	16.68%
15	2005-09-24	54.3	@ Grevenmacher	1	1177	33.57%	F91 Dudelange	1	1306	47.61%	18.83%
16	2006-04-02	54.2	@ Avenir Beggen	1	823	21.70%	Racing FC Union Luxembourg	1	1056	60.42%	17.88%
17	2006-05-07	54.1	@ CS Petange	1	1061	57.06%	Victoria Rosport	1	1014	24.70%	18.24%
18	2005-10-16	54.0	@ Swift Hesperange	1	1040	51.83%	CS Petange	1	1036	29.54%	18.63%
19	2005-10-23	54.0	@ Victoria Rosport	1	1064	55.31%	UN Kaerjeng	1	1032	26.30%	18.39%
20	2005-10-30	54.0	@ CS Petange	1	1044	55.23%	Wiltz 71	1	1013	26.37%	18.40%
21	2005-11-06	54.0	@ UN Kaerjeng	1	1072	54.34%	Swift Hesperange	1	1048	27.19%	18.47%
22	2006-04-08	54.0	@ Wiltz 71	1	1056	51.54%	Racing FC Union Luxembourg	1	1054	29.81%	18.65%
23	2005-10-16	53.9	@ Rumelange	1	954	39.63%	Racing FC Union Luxembourg	1	1038	41.42%	18.94%
24	2005-11-12	53.9	@ Avenir Beggen	1	869	31.03%	Victoria Rosport	1	1018	50.25%	18.72%
25	2006-03-19	53.9	@ Rumelange	1	919	37.10%	Swift Hesperange	1	1022	43.98%	18.92%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2006-03-19	24.4	@ Jeunesse Esch	8	1217	83.10%	Avenir Beggen	0	834	5.14%	11.76%
2	2005-11-06	24.9	@ Etzella Ettelbruck	5	1182	79.06%	Avenir Beggen	0	875	7.46%	13.48%
3	2005-08-21	25.9	@ F91 Dudelange	5	1300	76.18%	Racing FC Union Luxembourg	0	1040	9.31%	14.51%
4	2006-03-26	26.3	F91 Dudelange	4	1327	75.57%	@ Rumelange	0	919	9.72%	14.71%
5	2005-11-06	26.6	@ Jeunesse Esch	5	1159	73.45%	Rumelange	0	938	11.20%	15.35%
6	2005-11-12	26.6	@ F91 Dudelange	4	1315	75.08%	UN Kaerjeng	0	1071	10.05%	14.87%
7	2005-10-30	27.2	@ F91 Dudelange	6	1314	82.58%	Rumelange	1	942	5.42%	12.00%
8	2006-03-26	27.4	@ UN Kaerjeng	3	1067	74.78%	Avenir Beggen	0	828	10.26%	14.96%
9	2005-08-14	27.9	@ Etzella Ettelbruck	5	1192	69.29%	CS Petange	0	1024	14.32%	16.39%
10	2005-11-20	28.0	@ Grevenmacher	2	1169	78.62%	Avenir Beggen	0	870	7.73%	13.65%
11	2005-08-10	28.1	@ F91 Dudelange	2	1283	78.49%	Wiltz 71	0	986	7.81%	13.70%
12	2005-09-18	28.1	@ F91 Dudelange	3	1300	73.12%	Victoria Rosport	0	1083	11.44%	15.44%
13	2006-04-22	28.7	@ CS Petange	2	1075	76.34%	Avenir Beggen	0	812	9.20%	14.46%
14	2005-08-14	29.0	@ Grevenmacher	4	1123	66.35%	Rumelange	0	988	16.67%	16.99%
15	2005-10-16	29.7	@ F91 Dudelange	4	1305	83.78%	Avenir Beggen	1	908	4.79%	11.43%
16	2005-12-17	30.1	@ Jeunesse Esch	4	1182	62.97%	Racing FC Union Luxembourg	0	1082	19.49%	17.54%
17	2005-10-26	30.2	@ Wiltz 71	4	999	62.51%	Avenir Beggen	0	903	19.89%	17.61%
18	2005-08-14	30.4	F91 Dudelange	4	1286	62.02%	@ UN Kaerjeng	0	1038	20.30%	17.67%
19	2005-12-04	30.5	@ Grevenmacher	3	1171	64.87%	Swift Hesperange	0	1052	17.89%	17.24%
20	2006-03-19	30.5	@ F91 Dudelange	5	1322	75.98%	CS Petange	1	1065	9.44%	14.58%
21	2006-04-22	30.9	@ F91 Dudelange	9	1338	64.55%	Jeunesse Esch	0	1221	18.16%	17.30%
22	2005-11-12	31.2	Grevenmacher	6	1146	58.64%	@ Rumelange	0	929	23.27%	18.08%
23	2005-12-11	31.2	@ Jeunesse Esch	2	1177	68.00%	Victoria Rosport	0	1023	15.33%	16.67%
24	2006-05-14	31.6	@ Swift Hesperange	2	1038	66.50%	Rumelange	0	901	16.54%	16.96%
25	2006-03-12	31.8	@ Etzella Ettelbruck	4	1191	76.72%	Rumelange	1	923	8.95%	14.33%