2014-15 Luxembourg National Division Season

182 games

Final

Champion

Fola Esch

61 points

Relegated

No relegation

Biggest Overachiever

Mondorf-les-Bains

6.83 points above expected

29 points · 22.17 expected points

Biggest Disappointment

Jeunesse Canach

15.96 points below expected

15 points · 30.96 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	Fola Esch	26	19	4	3	61	61	21	+40	54.74	+6.26
2	Differdange 03	26	18	5	3	59	61	31	+30	52.33	+6.67
3	F91 Dudelange	26	16	6	4	54	55	18	+37	55.08	-1.08
4	Progres Niedercorn	26	15	5	6	50	51	29	+22	44.09	+5.91
5	Jeunesse Esch	26	12	8	6	44	46	34	+12	45.89	-1.89
6	Victoria Rosport	26	8	7	11	31	36	46	-10	24.67	+6.33
7	Etzella Ettelbruck	26	9	3	14	30	36	50	-14	34.54	-4.54
8	Mondorf-les-Bains	26	8	5	13	29	30	40	-10	22.17	+6.83
9	Grevenmacher	26	8	5	13	29	24	48	-24	30.56	-1.56
10	Rumelange	26	7	7	12	28	29	38	-9	31.69	-3.69
11	Wiltz 71	26	7	6	13	27	29	38	-9	28.56	-1.56
12	UN Kaerjeng	26	8	3	15	27	33	52	-19	33.17	-6.17
13	Hostert	26	5	8	13	23	35	52	-17	19.58	+3.42
14	Jeunesse Canach	26	3	6	17	15	16	45	-29	30.96	-15.96

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	Mondorf-les-Bains	29	22.17	+6.83
2	Differdange 03	59	52.33	+6.67
3	Victoria Rosport	31	24.67	+6.33
4	Fola Esch	61	54.74	+6.26
5	Progres Niedercorn	50	44.09	+5.91

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Jeunesse Canach	15	30.96	-15.96
2	UN Kaerjeng	27	33.17	-6.17
3	Etzella Ettelbruck	30	34.54	-4.54
4	Rumelange	28	31.69	-3.69
5	Jeunesse Esch	44	45.89	-1.89

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	Wiltz 71	3	May 10 – May 23	1 in 82
2	Fola Esch	7	Oct 19 – Mar 8	1 in 28
3	Victoria Rosport	2	Aug 3 – Aug 10	1 in 26
4	Differdange 03	5	Mar 15 – Apr 19	1 in 26
5	Progres Niedercorn	4	Aug 3 – Aug 23	1 in 22

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Grevenmacher	8	Aug 22 – Oct 26	1 in 807
2	UN Kaerjeng	4	Aug 24 – Sep 21	1 in 52
3	Rumelange	5	Apr 8 – May 3	1 in 36
4	Etzella Ettelbruck	4	Mar 15 – Apr 12	1 in 34
5	Wiltz 71	5	Aug 3 – Aug 28	1 in 29

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Hostert	5	Sep 28 – Nov 2	1 in 103
2	Jeunesse Esch	10	Aug 17 – Nov 2	1 in 40
3	Grevenmacher	5	Feb 22 – Mar 19	1 in 40
4	Mondorf-les-Bains	3	Aug 17 – Aug 29	1 in 38
5	Differdange 03	10	Aug 1 – Oct 17	1 in 23

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Jeunesse Canach	18	Oct 2 – May 23	1 in 593
2	F91 Dudelange	4	Aug 17 – Sep 14	1 in 50
3	Grevenmacher	9	Aug 17 – Oct 26	1 in 40
4	Jeunesse Esch	3	Oct 26 – Nov 23	1 in 32
5	Rumelange	7	Mar 15 – May 3	1 in 29

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
Fola Esch	1502	61	+7	12	10.7	+1.3
Differdange 03	1460	59	+11	12	11.3	+0.7
F91 Dudelange	1465	54	-41	9	10.3	-1.3
Progres Niedercorn	1378	50	+13	9	8.0	+1.0
Jeunesse Esch	1345	44	+8	10	9.5	+0.5
Victoria Rosport	1100	31	-33	4	4.8	-0.8
Etzella Ettelbruck	1153	30	-10	6	6.9	-0.9
Grevenmacher	1166	29	+12	7	6.5	+0.5
Mondorf-les-Bains	1141	29	+38	6	4.8	+1.2
Rumelange	1165	28	-28	4	6.0	-2.0
Wiltz 71	1236	27	+104	12	4.1	+7.9
UN Kaerjeng	1184	27	+3	6	6.0	-0.0
Hostert	1064	23	-6	4	4.4	-0.4
Jeunesse Canach	1037	15	-77	1	4.5	-3.5

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	D0	EE	FD	FE	GRE	HOS	JC	JE	MON	PN	RUM	UK	VR	W7
Differdange 03	—	2-0-0 3.91	0-1-1 2.31	1-1-0 2.45	0-2-0 4.04	1-0-1 4.87	2-0-0 4.37	1-1-0 3.33	2-0-0 4.73	2-0-0 3.35	2-0-0 4.29	2-0-0 4.04	2-0-0 4.68	1-0-1 4.61
Etzella Ettelbruck	0-0-2 1.66	—	0-1-1 1.16	0-0-2 1.16	1-0-1 2.75	2-0-0 3.81	2-0-0 2.90	0-0-2 2.09	1-0-1 3.51	0-0-2 1.87	1-1-0 2.76	1-0-1 2.95	0-1-1 3.74	1-0-1 3.28
F91 Dudelange	1-1-0 3.24	1-1-0 4.46	—	0-0-2 2.93	2-0-0 4.59	2-0-0 4.98	1-1-0 4.79	1-1-0 3.64	1-1-0 4.92	2-0-0 3.81	1-1-0 4.71	1-0-1 4.52	2-0-0 4.80	1-0-1 4.53
Fola Esch	0-1-1 3.10	2-0-0 4.46	2-0-0 2.62	—	2-0-0 4.67	1-1-0 5.00	2-0-0 4.42	1-1-0 3.62	2-0-0 4.94	0-0-2 3.86	2-0-0 4.54	2-0-0 4.70	2-0-0 4.85	1-1-0 4.73
Grevenmacher	0-2-0 1.56	1-0-1 2.81	0-0-2 1.03	0-0-2 0.97	—	1-1-0 3.89	2-0-0 2.88	1-0-1 1.70	1-1-0 3.72	0-0-2 1.59	1-0-1 2.56	1-0-1 2.62	0-1-1 3.50	0-0-2 2.95
Hostert	1-0-1 0.79	0-0-2 1.76	0-0-2 0.70	0-1-1 0.69	0-1-1 1.70	—	0-1-1 2.03	0-1-1 1.06	1-1-0 2.60	0-0-2 1.05	0-2-0 1.77	1-0-1 1.60	1-0-1 2.24	1-1-0 2.04
Jeunesse Canach	0-0-2 1.25	0-0-2 2.65	0-1-1 0.87	0-0-2 1.20	0-0-2 2.66	1-1-0 3.55	—	0-1-1 1.49	1-0-1 3.57	0-0-2 1.97	0-0-2 3.13	1-0-1 2.32	0-2-0 3.40	0-1-1 3.16
Jeunesse Esch	0-1-1 2.23	2-0-0 3.47	0-1-1 1.92	0-1-1 1.94	1-0-1 3.87	1-1-0 4.57	1-1-0 4.09	—	1-0-1 4.49	0-2-0 2.95	2-0-0 3.88	2-0-0 3.85	1-0-1 4.46	1-1-0 4.23
Mondorf-les-Bains	0-0-2 0.91	1-0-1 2.05	0-1-1 0.76	0-0-2 0.74	0-1-1 1.84	0-1-1 2.95	1-0-1 1.99	1-0-1 1.12	—	1-1-0 1.08	0-1-1 1.97	1-0-1 1.75	2-0-0 2.27	1-0-1 2.26
Progres Niedercorn	0-0-2 2.20	2-0-0 3.71	0-0-2 1.76	2-0-0 1.71	2-0-0 3.98	2-0-0 4.57	2-0-0 3.60	0-2-0 2.60	0-1-1 4.54	—	2-0-0 3.99	1-0-1 3.94	1-1-0 4.34	1-1-0 4.05
Rumelange	0-0-2 1.31	0-1-1 2.78	0-1-1 0.94	0-0-2 1.08	1-0-1 2.99	0-2-0 3.80	2-0-0 2.42	0-0-2 1.70	1-1-0 3.60	0-0-2 1.59	—	1-1-0 2.64	0-1-1 3.57	2-0-0 2.88
UN Kaerjeng	0-0-2 1.55	1-0-1 2.61	1-0-1 1.11	0-0-2 0.94	1-0-1 2.93	1-0-1 3.99	1-0-1 3.23	0-0-2 1.72	1-0-1 3.82	1-0-1 1.63	0-1-1 2.90	—	0-1-1 3.32	1-1-0 3.09
Victoria Rosport	0-0-2 0.95	1-1-0 1.83	0-0-2 0.86	0-0-2 0.81	1-1-0 2.05	1-0-1 3.31	0-2-0 2.16	1-0-1 1.15	0-0-2 3.28	0-1-1 1.26	1-1-0 1.99	1-1-0 2.23	—	2-0-0 2.46
Wiltz 71	1-0-1 1.02	1-0-1 2.27	1-0-1 1.09	0-1-1 0.91	2-0-0 2.60	0-1-1 3.51	1-1-0 2.39	0-1-1 1.37	1-0-1 3.29	0-1-1 1.53	0-0-2 2.67	0-1-1 2.46	0-0-2 3.09	—

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	0.93	+10.0
Allowed	0.71	-11.1
Differential	0.94	+6.0

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.59%	7.14%	4.40%	4.67%	1.65%	1.37%	25.82%
1	7.14%	8.24%	9.34%	2.75%	1.92%	1.65%	31.04%
2	4.40%	9.34%	5.49%	3.02%	1.37%	—	23.63%
3	4.67%	2.75%	3.02%	1.10%	—	—	11.54%
4	1.65%	1.92%	1.37%	—	—	—	4.95%
5+	1.37%	1.65%	—	—	—	—	3.02%
Total	25.82%	31.04%	23.63%	11.54%	4.95%	3.02%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.49	1.49	+0.00
SD	1.32	1.32	2.06
CV	0.89	0.89	—
Max	7	7	+6
Min	0	0	-6

Games Played: 182

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	—	—	—	—	—	3.85%
1	—	11.54%	11.54%	—	—	—	23.08%
2	—	30.77%	—	—	—	—	30.77%
3	3.85%	7.69%	15.38%	3.85%	—	—	30.77%
4	3.85%	—	—	—	—	—	3.85%
5+	3.85%	3.85%	—	—	—	—	7.69%
Total	15.38%	53.85%	26.92%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.35	1.19	+1.15
SD	1.32	0.75	1.59
CV	0.56	0.63	—
Max	6	3	+5
Min	0	0	-1

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	—	3.85%	15.38%	—	—	26.92%
1	3.85%	3.85%	11.54%	3.85%	7.69%	3.85%	34.62%
2	3.85%	7.69%	—	7.69%	—	—	19.23%
3	3.85%	—	7.69%	—	—	—	11.54%
4	3.85%	3.85%	—	—	—	—	7.69%
5+	—	—	—	—	—	—	—
Total	23.08%	15.38%	23.08%	26.92%	7.69%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	1.92	-0.54
SD	1.24	1.44	2.18
CV	0.89	0.75	—
Max	4	5	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	3.85%	3.85%	3.85%	—	—	23.08%
1	3.85%	7.69%	—	—	—	—	11.54%
2	11.54%	11.54%	3.85%	3.85%	—	—	30.77%
3	7.69%	3.85%	—	—	—	—	11.54%
4	7.69%	3.85%	—	—	—	—	11.54%
5+	11.54%	—	—	—	—	—	11.54%
Total	53.85%	30.77%	7.69%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.12	0.69	+1.42
SD	1.66	0.93	2.16
CV	0.78	1.34	—
Max	5	3	+5
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	3.85%	—	—	—	—	3.85%
1	23.08%	15.38%	—	—	—	—	38.46%
2	3.85%	7.69%	—	3.85%	3.85%	—	19.23%
3	11.54%	3.85%	—	—	—	—	15.38%
4	3.85%	3.85%	3.85%	—	—	—	11.54%
5+	—	11.54%	—	—	—	—	11.54%
Total	42.31%	46.15%	3.85%	3.85%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.35	0.81	+1.54
SD	1.67	0.98	1.84
CV	0.71	1.21	—
Max	7	4	+6
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	3.85%	19.23%	7.69%	—	7.69%	50.00%
1	7.69%	3.85%	—	3.85%	—	3.85%	19.23%
2	—	11.54%	3.85%	—	3.85%	—	19.23%
3	7.69%	—	3.85%	—	—	—	11.54%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	26.92%	19.23%	26.92%	11.54%	3.85%	11.54%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.92	1.85	-0.92
SD	1.09	1.71	2.24
CV	1.18	0.93	—
Max	3	6	+3
Min	0	0	-6

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	7.69%	3.85%	—	—	—	15.38%
1	—	11.54%	11.54%	7.69%	7.69%	3.85%	42.31%
2	—	15.38%	11.54%	7.69%	—	—	34.62%
3	3.85%	—	—	3.85%	—	—	7.69%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	7.69%	34.62%	26.92%	19.23%	7.69%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.35	2.00	-0.65
SD	0.85	1.36	1.60
CV	0.63	0.68	—
Max	3	6	+3
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	26.92%	—	11.54%	3.85%	—	53.85%
1	3.85%	7.69%	11.54%	—	3.85%	3.85%	30.77%
2	—	7.69%	3.85%	—	3.85%	—	15.38%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.38%	42.31%	15.38%	11.54%	11.54%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.62	1.73	-1.12
SD	0.75	1.40	1.45
CV	1.22	0.81	—
Max	2	5	+1
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	7.69%	—	—	3.85%	—	19.23%
1	11.54%	3.85%	3.85%	3.85%	—	—	23.08%
2	7.69%	7.69%	15.38%	3.85%	—	—	34.62%
3	3.85%	3.85%	—	3.85%	—	—	11.54%
4	—	—	7.69%	—	—	—	7.69%
5+	—	3.85%	—	—	—	—	3.85%
Total	30.77%	26.92%	26.92%	11.54%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.77	1.31	+0.46
SD	1.34	1.16	1.65
CV	0.76	0.89	—
Max	5	4	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	11.54%	7.69%	3.85%	—	3.85%	34.62%
1	11.54%	7.69%	15.38%	—	3.85%	—	38.46%
2	—	3.85%	3.85%	3.85%	—	—	11.54%
3	—	3.85%	3.85%	—	—	—	7.69%
4	—	7.69%	—	—	—	—	7.69%
5+	—	—	—	—	—	—	—
Total	19.23%	34.62%	30.77%	7.69%	3.85%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.54	-0.38
SD	1.22	1.24	1.81
CV	1.06	0.81	—
Max	4	5	+3
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	7.69%	—	—	—	—	11.54%
1	11.54%	3.85%	11.54%	3.85%	—	—	30.77%
2	7.69%	7.69%	11.54%	—	—	—	26.92%
3	7.69%	3.85%	7.69%	—	—	—	19.23%
4	—	—	7.69%	—	—	—	7.69%
5+	3.85%	—	—	—	—	—	3.85%
Total	34.62%	23.08%	38.46%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.96	1.12	+0.85
SD	1.40	0.95	1.69
CV	0.71	0.85	—
Max	6	3	+6
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	15.38%	3.85%	3.85%	—	—	26.92%
1	15.38%	11.54%	15.38%	—	—	3.85%	46.15%
2	3.85%	—	11.54%	—	3.85%	—	19.23%
3	—	3.85%	—	—	—	—	3.85%
4	3.85%	—	—	—	—	—	3.85%
5+	—	—	—	—	—	—	—
Total	26.92%	30.77%	30.77%	3.85%	3.85%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	1.46	-0.35
SD	0.99	1.53	1.85
CV	0.89	1.05	—
Max	4	7	+4
Min	0	0	-6

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	3.85%	11.54%	3.85%	7.69%	34.62%
1	—	3.85%	7.69%	11.54%	—	—	23.08%
2	15.38%	3.85%	3.85%	7.69%	—	—	30.77%
3	3.85%	—	3.85%	—	—	—	7.69%
4	—	—	—	—	—	—	—
5+	—	3.85%	—	—	—	—	3.85%
Total	23.08%	15.38%	19.23%	30.77%	3.85%	7.69%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	2.00	-0.73
SD	1.25	1.52	2.39
CV	0.99	0.76	—
Max	5	5	+4
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	3.85%	3.85%	—	7.69%	—	23.08%
1	3.85%	11.54%	11.54%	—	3.85%	3.85%	34.62%
2	3.85%	11.54%	7.69%	3.85%	3.85%	—	30.77%
3	—	3.85%	—	—	—	—	3.85%
4	—	7.69%	—	—	—	—	7.69%
5+	—	—	—	—	—	—	—
Total	15.38%	38.46%	23.08%	3.85%	15.38%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	1.77	-0.38
SD	1.13	1.42	1.96
CV	0.82	0.80	—
Max	4	5	+3
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	3.85%	11.54%	7.69%	3.85%	—	34.62%
1	3.85%	11.54%	19.23%	3.85%	—	—	38.46%
2	3.85%	3.85%	—	—	—	—	7.69%
3	11.54%	3.85%	—	3.85%	—	—	19.23%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	26.92%	23.08%	30.77%	15.38%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	1.46	-0.35
SD	1.11	1.17	1.90
CV	0.99	0.80	—
Max	3	4	+3
Min	0	0	-4

Games Played: 26

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
Fola Esch	1502	61	54.74	+6.26	84.0%	37	43	50	55	59	65	70
F91 Dudelange	1465	54	55.08	-1.08	43.0%	41	44	51	56	59	65	69
Differdange 03	1460	59	52.33	+6.67	83.0%	38	42	47	52	57	62	67
Progres Niedercorn	1378	50	44.09	+5.91	84.0%	32	33	40	44	49	55	59
Jeunesse Esch	1345	44	45.89	-1.89	42.0%	30	33	42	46	50	59	64
Wiltz 71	1236	27	28.56	-1.56	42.0%	14	19	25	29	32	38	46
UN Kaerjeng	1184	27	33.17	-6.17	18.0%	21	24	30	33	37	42	52
Grevenmacher	1166	29	30.56	-1.56	47.0%	20	22	28	30	33	38	44
Rumelange	1165	28	31.69	-3.69	26.0%	16	22	28	32	35	41	54
Etzella Ettelbruck	1153	30	34.54	-4.54	31.0%	16	23	29	34	38	46	52
Mondorf-les-Bains	1141	29	22.17	+6.83	91.0%	7	14	19	22	26	30	37
Victoria Rosport	1100	31	24.67	+6.33	89.0%	11	14	21	25	28	36	40
Hostert	1064	23	19.58	+3.42	76.0%	6	9	16	20	23	29	35
Jeunesse Canach	1037	15	30.96	-15.96	0.0%	16	21	26	31	36	42	45

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

+12.64%

Clear Edge

45.60%21.43%32.97%

Elo Value

Home Edge: 44.14 Elo pts.

205 Elo

0.005 goals per Elo point

0600

Scoring Tilt

Expected

+0.27 goals

Neutral

-2+0.21+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 to 3rd * Middle of the Pack: 4th to 7th * Longshot: 8th 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

3.2

Open

123410

Champion Preseason Odds

36%

Fola Esch, 2nd of 14

LongshotFavorite

Title Margin

Expected

0.08/gm

Tight Race

00.200.5/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 4.94 * Some Luck: 4.94 to 7.41 * Lucky: 7.41 to 9.88 * Wild Swing: 9.88 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 1.24 * Close: 1.24 to 1.86 * Off: 1.86 to 2.48 * Way Off: 2.48 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 14 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 14 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 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 and up.

Luck Spread

Expected

6.29 points

Some Luck

06.1715

Average Finish Error

Expected

2.29

Off

01.554

Biggest Overachiever

Expected 96.43%

91.00%

Mondorf-les-Bains

50100

Biggest Underachiever

Expected 3.57%

0.00%

Jeunesse Canach

050

Season Outliers

Expected

1 of 14

Minimal Outliers

01.47

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

0.21

Top-Heavy

00.170.5

Noll-Scully

Elo SD: 157.08

2.11

Wide Separation

11.651.852.052.5

Interquartile Edge

79%

Wide Edge

50%68%78%100%

Best vs. Worst

Baseline 96%

94%

Strong Edge

50%100%

Close Games

Expected

60%

Very Frequent

0%53%100%

Blowouts

Expected

23%

Rare

0%23%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

0.56

Predictable

00.552

Matchup Imbalance

0.46

Lopsided

00.350.5

Strangeness

Expected

1.02

As Expected

01.002

Repeatability

0.69

Strong Carryover

00.430.621

Upset Rate

Expected

26%

Upset-Prone

0%21%50%

Clear Favorite Upset Rate

Expected

24%

Very Shaky

0%18%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 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.

Probability calibration

0.09

Borderline

0.010.050.10.51

Calibration slope

Ideal

0.88

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.145

Near Noise Ceiling

00.1210.3

Final Table Odds

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

Team	1	2	3	4	5	6	7	8	9	10	11	12	13	14
Fola Esch	36.00%	28.00%	22.00%	6.00%	4.00%	3.00%	1.00%	—	—	—	—	—	—	—
Differdange 03	20.00%	22.00%	29.00%	20.00%	6.00%	2.00%	1.00%	—	—	—	—	—	—	—
F91 Dudelange	37.00%	30.00%	18.00%	11.00%	4.00%	—	—	—	—	—	—	—	—	—
Progres Niedercorn	2.00%	11.00%	16.00%	20.00%	27.00%	12.00%	5.00%	5.00%	1.00%	1.00%	—	—	—	—
Jeunesse Esch	5.00%	8.00%	13.00%	30.00%	28.00%	11.00%	2.00%	3.00%	—	—	—	—	—	—
Victoria Rosport	—	—	—	—	2.00%	1.00%	5.00%	7.00%	7.00%	13.00%	16.00%	16.00%	20.00%	13.00%
Etzella Ettelbruck	—	1.00%	1.00%	5.00%	10.00%	18.00%	11.00%	20.00%	9.00%	11.00%	7.00%	3.00%	3.00%	1.00%
Mondorf-les-Bains	—	—	—	—	—	—	1.00%	1.00%	6.00%	9.00%	12.00%	22.00%	26.00%	23.00%
Grevenmacher	—	—	—	1.00%	4.00%	8.00%	7.00%	16.00%	19.00%	19.00%	11.00%	10.00%	3.00%	2.00%
Rumelange	—	—	1.00%	3.00%	—	13.00%	23.00%	14.00%	12.00%	9.00%	14.00%	4.00%	5.00%	2.00%
Wiltz 71	—	—	—	2.00%	1.00%	8.00%	9.00%	8.00%	13.00%	17.00%	14.00%	12.00%	10.00%	6.00%
UN Kaerjeng	—	—	—	2.00%	7.00%	12.00%	24.00%	13.00%	15.00%	12.00%	7.00%	5.00%	3.00%	—
Hostert	—	—	—	—	—	—	1.00%	1.00%	4.00%	1.00%	6.00%	15.00%	24.00%	48.00%
Jeunesse Canach	—	—	—	—	7.00%	12.00%	10.00%	12.00%	14.00%	8.00%	13.00%	13.00%	6.00%	5.00%

Points Required Per Position

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

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team	Same level	Qualified for relegation playoff	Direct relegation
Differdange 03	100%	—	—
F91 Dudelange	100%	—	—
Fola Esch	100%	—	—
Jeunesse Esch	100%	—	—
Progres Niedercorn	100%	—	—
UN Kaerjeng	92.00%	5.00%	3.00%
Etzella Ettelbruck	93.00%	3.00%	4.00%
Grevenmacher	85.00%	10.00%	5.00%
Rumelange	89.00%	4.00%	7.00%
Jeunesse Canach	76.00%	13.00%	11.00%
Wiltz 71	72.00%	12.00%	16.00%
Victoria Rosport	51.00%	16.00%	33.00%
Mondorf-les-Bains	29.00%	22.00%	49.00%
Hostert	13.00%	15.00%	72.00%

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
2014-08-01	Differdange 03	D 3-3	65.3	1336	1380	38.85%	22.73%	38.41%	+0.00	-0.0	1
2014-08-01	@ Jeunesse Esch	D 3-3	65.3	1380	1336	38.41%	22.73%	38.85%	+0.00	+0.0	1
2014-08-03	Fola Esch	W 1-0	46.5	1290	1420	27.53%	22.34%	50.13%	-0.42	+12.4	3
2014-08-03	@ Progres Niedercorn	L 0-1	46.5	1420	1290	50.13%	22.34%	27.53%	+0.42	-12.4	0
2014-08-03	Hostert	W 2-1	37.4	1266	1040	69.18%	19.03%	11.79%	+1.32	+3.2	3
2014-08-03	@ Grevenmacher	L 1-2	37.4	1040	1266	11.79%	19.03%	69.18%	-1.32	-3.2	0
2014-08-03	Jeunesse Canach	L 1-2	49.4	1248	1234	47.04%	22.53%	30.43%	+0.28	-11.0	0
2014-08-03	@ UN Kaerjeng	W 2-1	49.4	1234	1248	30.43%	22.53%	47.04%	-0.28	+11.0	3
2014-08-03	Mondorf-les-Bains	W 3-0	29.2	1233	1087	62.10%	20.79%	17.11%	+0.92	+13.6	3
2014-08-03	@ Etzella Ettelbruck	L 0-3	29.2	1087	1233	17.11%	20.79%	62.10%	-0.92	-13.6	0
2014-08-03	Rumelange	W 2-1	49.9	1041	1173	27.33%	22.32%	50.35%	-0.43	+11.7	3
2014-08-03	@ Victoria Rosport	L 1-2	49.9	1173	1041	50.35%	22.32%	27.33%	+0.43	-11.7	0
2014-08-03	Wiltz 71	W 3-0	28.3	1435	1211	69.01%	19.09%	11.91%	+1.31	+9.5	3
2014-08-03	@ F91 Dudelange	L 0-3	28.3	1211	1435	11.91%	19.09%	69.01%	-1.31	-9.5	0
2014-08-09	F91 Dudelange	L 1-4	30.8	1037	1445	7.79%	16.75%	75.46%	-1.77	-5.1	0
2014-08-09	@ Hostert	W 4-1	30.8	1445	1037	75.46%	16.75%	7.79%	+1.77	+5.1	6
2014-08-10	Etzella Ettelbruck	W 2-1	40.9	1380	1247	60.94%	21.01%	18.05%	+0.87	+4.9	4
2014-08-10	@ Differdange 03	L 1-2	40.9	1247	1380	18.05%	21.01%	60.94%	-0.87	-4.9	3
2014-08-10	Grevenmacher	L 1-2	40.9	1074	1270	20.71%	21.53%	57.76%	-0.74	-5.6	0
2014-08-10	@ Mondorf-les-Bains	W 2-1	40.9	1270	1074	57.76%	21.53%	20.71%	+0.74	+5.6	6
2014-08-10	Jeunesse Esch	W 3-1	51.5	1052	1336	13.93%	19.87%	66.21%	-1.16	+26.0	6
2014-08-10	@ Victoria Rosport	L 1-3	51.5	1336	1052	66.21%	19.87%	13.93%	+1.16	-26.0	1
2014-08-10	Progres Niedercorn	L 1-2	46.7	1245	1302	37.15%	22.73%	40.12%	-0.06	-9.1	3
2014-08-10	@ Jeunesse Canach	W 2-1	46.7	1302	1245	40.12%	22.73%	37.15%	+0.06	+9.1	6
2014-08-10	Rumelange	W 7-1	29.7	1408	1162	70.71%	18.54%	10.74%	+1.41	+13.5	3
2014-08-10	@ Fola Esch	L 1-7	29.7	1162	1408	10.74%	18.54%	70.71%	-1.41	-13.5	0
2014-08-10	UN Kaerjeng	L 0-2	38.8	1201	1237	40.09%	22.73%	37.19%	+0.04	-19.4	0
2014-08-10	@ Wiltz 71	W 2-0	38.8	1237	1201	37.19%	22.73%	40.09%	-0.04	+19.4	3
2014-08-17	Differdange 03	D 0-0	50.4	1275	1385	30.05%	22.51%	47.45%	-0.32	+1.0	7
2014-08-17	@ Grevenmacher	D 0-0	50.4	1385	1275	47.45%	22.51%	30.05%	+0.32	-1.0	5
2014-08-17	Hostert	W 2-0	29.0	1257	1031	69.08%	19.06%	11.85%	+1.31	+6.5	6
2014-08-17	@ UN Kaerjeng	L 0-2	29.0	1031	1257	11.85%	19.06%	69.08%	-1.31	-6.5	0
2014-08-17	Jeunesse Canach	W 1-0	43.0	1148	1236	32.88%	22.64%	44.48%	-0.21	+11.2	3
2014-08-17	@ Rumelange	L 0-1	43.0	1236	1148	44.48%	22.64%	32.88%	+0.21	-11.2	3
2014-08-17	Jeunesse Esch	L 0-3	35.9	1242	1310	35.58%	22.71%	41.71%	-0.12	-25.7	3
2014-08-17	@ Etzella Ettelbruck	W 3-0	35.9	1310	1242	41.71%	22.71%	35.58%	+0.12	+25.7	4
2014-08-17	Mondorf-les-Bains	D 0-0	51.7	1450	1068	79.38%	14.94%	5.68%	+2.07	-4.9	7
2014-08-17	@ F91 Dudelange	D 0-0	51.7	1068	1450	5.68%	14.94%	79.38%	-2.07	+4.9	1
2014-08-17	Victoria Rosport	W 4-2	37.0	1422	1078	77.18%	15.99%	6.82%	+1.89	+2.8	6
2014-08-17	@ Fola Esch	L 2-4	37.0	1078	1422	6.82%	15.99%	77.18%	-1.89	-2.8	6
2014-08-17	Wiltz 71	W 2-0	32.0	1311	1182	60.48%	21.09%	18.43%	+0.84	+10.1	9
2014-08-17	@ Progres Niedercorn	L 0-2	32.0	1182	1311	18.43%	21.09%	60.48%	-0.84	-10.1	0
2014-08-22	Grevenmacher	W 4-2	44.9	1335	1276	52.69%	22.12%	25.19%	+0.50	+10.3	7
2014-08-22	@ Jeunesse Esch	L 2-4	44.9	1276	1335	25.19%	22.12%	52.69%	-0.50	-10.3	7
2014-08-22	Rumelange	L 0-1	43.6	1172	1159	46.79%	22.54%	30.67%	+0.28	-11.7	0
2014-08-22	@ Wiltz 71	W 1-0	43.6	1159	1172	30.67%	22.54%	46.79%	-0.28	+11.7	6
2014-08-23	Progres Niedercorn	L 1-2	38.0	1025	1321	13.11%	19.57%	67.31%	-1.23	-3.6	0
2014-08-23	@ Hostert	W 2-1	38.0	1321	1025	67.31%	19.57%	13.11%	+1.23	+3.6	12
2014-08-24	Etzella Ettelbruck	W 4-1	45.2	1076	1216	26.45%	22.25%	51.31%	-0.47	+29.2	9
2014-08-24	@ Victoria Rosport	L 1-4	45.2	1216	1076	51.31%	22.25%	26.45%	+0.47	-29.2	3
2014-08-24	F91 Dudelange	D 1-1	57.5	1384	1445	36.61%	22.72%	40.67%	-0.08	+0.2	6
2014-08-24	@ Differdange 03	D 1-1	57.5	1445	1384	40.67%	22.72%	36.61%	+0.08	-0.2	8
2014-08-24	Fola Esch	L 0-1	36.6	1225	1424	20.39%	21.47%	58.14%	-0.76	-5.9	3
2014-08-24	@ Jeunesse Canach	W 1-0	36.6	1424	1225	58.14%	21.47%	20.39%	+0.76	+5.8	9
2014-08-24	UN Kaerjeng	W 3-2	57.2	1073	1263	21.24%	21.61%	57.15%	-0.71	+12.4	4
2014-08-24	@ Mondorf-les-Bains	L 2-3	57.2	1263	1073	57.15%	21.61%	21.24%	+0.71	-12.4	6
2014-08-28	Differdange 03	L 1-3	41.6	1251	1384	27.22%	22.31%	50.47%	-0.44	-12.3	6
2014-08-28	@ UN Kaerjeng	W 3-1	41.6	1384	1251	50.47%	22.31%	27.22%	+0.44	+12.3	9
2014-08-28	Hostert	D 2-2	59.6	1171	1021	62.49%	20.72%	16.80%	+0.94	-2.0	7
2014-08-28	@ Rumelange	D 2-2	59.6	1021	1171	16.80%	20.72%	62.49%	-0.94	+2.0	1
2014-08-28	Jeunesse Esch	D 2-2	62.7	1445	1346	57.30%	21.59%	21.11%	+0.70	-1.5	9
2014-08-28	@ F91 Dudelange	D 2-2	62.7	1346	1445	21.11%	21.59%	57.30%	-0.70	+1.5	8
2014-08-28	Wiltz 71	W 2-1	37.2	1430	1160	72.44%	17.94%	9.62%	+1.53	+2.6	12
2014-08-28	@ Fola Esch	L 1-2	37.2	1160	1430	9.62%	17.94%	72.44%	-1.53	-2.6	0
2014-08-29	Mondorf-les-Bains	D 2-2	60.4	1325	1085	70.18%	18.72%	11.10%	+1.38	-2.6	13
2014-08-29	@ Progres Niedercorn	D 2-2	60.4	1085	1325	11.10%	18.72%	70.18%	-1.38	+2.6	5
2014-08-30	Etzella Ettelbruck	L 0-2	43.1	1266	1187	55.07%	21.87%	23.05%	+0.60	-25.4	7
2014-08-30	@ Grevenmacher	W 2-0	43.1	1187	1266	23.05%	21.87%	55.07%	-0.60	+25.4	6
2014-08-31	Victoria Rosport	D 0-0	49.4	1219	1105	58.93%	21.35%	19.72%	+0.77	-2.5	4
2014-08-31	@ Jeunesse Canach	D 0-0	49.4	1105	1219	19.72%	21.35%	58.93%	-0.77	+2.5	10
2014-09-14	F91 Dudelange	D 0-0	50.8	1212	1443	17.69%	20.93%	61.38%	-0.91	+2.8	7
2014-09-14	@ Etzella Ettelbruck	D 0-0	50.8	1443	1212	61.38%	20.93%	17.69%	+0.91	-2.8	10
2014-09-14	Fola Esch	D 1-1	55.2	1023	1433	7.73%	16.71%	75.56%	-1.78	+4.0	2
2014-09-14	@ Hostert	D 1-1	55.2	1433	1023	75.56%	16.71%	7.73%	+1.78	-4.0	13
2014-09-14	Jeunesse Canach	D 1-1	53.3	1157	1217	36.82%	22.72%	40.45%	-0.07	+0.2	1
2014-09-14	@ Wiltz 71	D 1-1	53.3	1217	1157	40.45%	22.72%	36.82%	+0.07	-0.2	5
2014-09-14	Progres Niedercorn	W 3-1	41.3	1397	1322	54.54%	21.93%	23.52%	+0.58	+10.9	12
2014-09-14	@ Differdange 03	L 1-3	41.3	1322	1397	23.52%	21.93%	54.54%	-0.58	-10.9	13
2014-09-14	Rumelange	L 0-1	39.7	1088	1169	33.80%	22.66%	43.53%	-0.18	-9.0	5
2014-09-14	@ Mondorf-les-Bains	W 1-0	39.7	1169	1088	43.53%	22.66%	33.80%	+0.18	+9.0	10
2014-09-14	UN Kaerjeng	W 2-0	33.0	1347	1239	58.32%	21.44%	20.24%	+0.74	+11.0	11
2014-09-14	@ Jeunesse Esch	L 0-2	33.0	1239	1347	20.24%	21.44%	58.32%	-0.74	-11.0	6
2014-09-15	Grevenmacher	W 2-0	41.6	1107	1241	27.25%	22.31%	50.44%	-0.43	+23.5	13
2014-09-15	@ Victoria Rosport	L 0-2	41.6	1241	1107	50.44%	22.31%	27.25%	+0.43	-23.5	7
2014-09-19	Jeunesse Esch	D 2-2	60.5	1311	1358	38.58%	22.73%	38.69%	-0.01	+0.0	14
2014-09-19	@ Progres Niedercorn	D 2-2	60.5	1358	1311	38.69%	22.73%	38.58%	+0.01	-0.0	12
2014-09-21	Differdange 03	L 1-2	40.6	1178	1408	17.80%	20.95%	61.25%	-0.90	-4.9	10
2014-09-21	@ Rumelange	W 2-1	40.6	1408	1178	61.25%	20.95%	17.80%	+0.90	+4.9	15
2014-09-21	Etzella Ettelbruck	L 2-3	54.5	1228	1215	46.83%	22.54%	30.64%	+0.28	-10.4	6
2014-09-21	@ UN Kaerjeng	W 3-2	54.5	1215	1228	30.64%	22.54%	46.83%	-0.28	+10.4	10
2014-09-21	Grevenmacher	W 5-0	28.3	1440	1217	68.91%	19.11%	11.97%	+1.30	+15.4	13
2014-09-21	@ F91 Dudelange	L 0-5	28.3	1217	1440	11.97%	19.11%	68.91%	-1.30	-15.4	7
2014-09-21	Hostert	W 1-0	32.9	1216	1027	66.08%	19.90%	14.02%	+1.13	+4.1	8
2014-09-21	@ Jeunesse Canach	L 0-1	32.9	1027	1216	14.02%	19.90%	66.08%	-1.13	-4.1	2
2014-09-21	Mondorf-les-Bains	W 4-1	30.3	1429	1079	77.58%	15.81%	6.61%	+1.92	+4.3	16
2014-09-21	@ Fola Esch	L 1-4	30.3	1079	1429	6.61%	15.81%	77.58%	-1.92	-4.3	5
2014-09-21	Victoria Rosport	L 1-2	49.5	1158	1131	48.69%	22.43%	28.87%	+0.35	-11.4	1
2014-09-21	@ Wiltz 71	W 2-1	49.5	1131	1158	28.87%	22.43%	48.69%	-0.35	+11.4	16
2014-09-27	Fola Esch	D 1-1	57.9	1413	1433	42.29%	22.69%	35.02%	+0.11	-0.4	16
2014-09-27	@ Differdange 03	D 1-1	57.9	1433	1413	35.02%	22.69%	42.29%	-0.11	+0.4	17
2014-09-28	F91 Dudelange	L 1-2	38.4	1142	1456	12.10%	19.17%	68.74%	-1.31	-3.3	16
2014-09-28	@ Victoria Rosport	W 2-1	38.4	1456	1142	68.74%	19.17%	12.10%	+1.31	+3.3	16
2014-09-28	Jeunesse Canach	L 1-2	42.6	1075	1220	25.84%	22.19%	51.97%	-0.49	-6.8	5
2014-09-28	@ Mondorf-les-Bains	W 2-1	42.6	1220	1075	51.97%	22.19%	25.84%	+0.49	+6.8	11
2014-09-28	Progres Niedercorn	L 2-3	50.8	1225	1311	33.15%	22.64%	44.21%	-0.20	-7.9	10
2014-09-28	@ Etzella Ettelbruck	W 3-2	50.8	1311	1225	44.21%	22.64%	33.15%	+0.20	+7.9	17
2014-09-28	Rumelange	W 2-1	38.9	1358	1173	65.72%	19.99%	14.29%	+1.11	+3.9	15
2014-09-28	@ Jeunesse Esch	L 1-2	38.9	1173	1358	14.29%	19.99%	65.72%	-1.11	-3.9	10
2014-09-28	UN Kaerjeng	L 0-2	39.6	1202	1217	43.01%	22.68%	34.32%	+0.14	-20.5	7
2014-09-28	@ Grevenmacher	W 2-0	39.6	1217	1202	34.32%	22.68%	43.01%	-0.14	+20.5	9
2014-09-28	Wiltz 71	W 2-1	49.6	1023	1146	28.46%	22.41%	49.13%	-0.38	+11.5	5
2014-09-28	@ Hostert	L 1-2	49.6	1146	1023	49.13%	22.41%	28.46%	+0.38	-11.5	1
2014-10-02	Differdange 03	L 1-2	42.4	1227	1412	21.77%	21.69%	56.54%	-0.69	-5.8	11
2014-10-02	@ Jeunesse Canach	W 2-1	42.4	1412	1227	56.54%	21.69%	21.77%	+0.69	+5.8	19
2014-10-02	Etzella Ettelbruck	D 0-0	49.0	1169	1217	38.36%	22.73%	38.91%	-0.02	+0.0	11
2014-10-02	@ Rumelange	D 0-0	49.0	1217	1169	38.91%	22.73%	38.36%	+0.02	-0.0	11
2014-10-02	F91 Dudelange	L 0-5	31.3	1238	1459	18.48%	21.10%	60.42%	-0.86	-23.6	9
2014-10-02	@ UN Kaerjeng	W 5-0	31.3	1459	1238	60.42%	21.10%	18.48%	+0.86	+23.6	19
2014-10-02	Jeunesse Esch	D 1-1	56.9	1434	1362	54.18%	21.97%	23.84%	+0.56	-1.7	18
2014-10-02	@ Fola Esch	D 1-1	56.9	1362	1434	23.84%	21.97%	54.18%	-0.56	+1.7	16
2014-10-03	Grevenmacher	W 6-0	30.3	1319	1181	61.36%	20.93%	17.71%	+0.89	+26.9	20
2014-10-03	@ Progres Niedercorn	L 0-6	30.3	1181	1319	17.71%	20.93%	61.36%	-0.89	-26.9	7
2014-10-05	Mondorf-les-Bains	W 2-0	33.6	1135	1068	53.64%	22.03%	24.33%	+0.54	+12.9	4
2014-10-05	@ Wiltz 71	L 0-2	33.6	1068	1135	24.33%	22.03%	53.64%	-0.54	-12.9	5
2014-10-05	Victoria Rosport	W 2-1	48.9	1035	1139	30.80%	22.55%	46.65%	-0.29	+11.0	8
2014-10-05	@ Hostert	L 1-2	48.9	1139	1035	46.65%	22.55%	30.80%	+0.29	-11.0	16
2014-10-17	Wiltz 71	W 3-0	26.7	1418	1148	72.44%	17.94%	9.62%	+1.53	+7.6	22
2014-10-17	@ Differdange 03	L 0-3	26.7	1148	1418	9.62%	17.94%	72.44%	-1.53	-7.6	4
2014-10-19	Fola Esch	L 0-3	31.1	1217	1432	19.07%	21.22%	59.71%	-0.83	-15.1	11
2014-10-19	@ Etzella Ettelbruck	W 3-0	31.1	1432	1217	59.71%	21.22%	19.07%	+0.83	+15.1	21
2014-10-19	Hostert	D 1-1	53.2	1055	1046	46.38%	22.56%	31.07%	+0.26	-0.8	6
2014-10-19	@ Mondorf-les-Bains	D 1-1	53.2	1046	1055	31.07%	22.56%	46.38%	-0.26	+0.8	9
2014-10-19	Jeunesse Canach	W 4-2	42.0	1364	1221	61.77%	20.86%	17.37%	+0.91	+7.4	19
2014-10-19	@ Jeunesse Esch	L 2-4	42.0	1221	1364	17.37%	20.86%	61.77%	-0.91	-7.4	11
2014-10-19	Progres Niedercorn	W 1-0	38.7	1483	1346	61.20%	20.96%	17.84%	+0.88	+5.2	22
2014-10-19	@ F91 Dudelange	L 0-1	38.7	1346	1483	17.84%	20.96%	61.20%	-0.88	-5.2	20
2014-10-19	Rumelange	L 0-2	39.5	1154	1169	43.08%	22.68%	34.25%	+0.14	-20.5	7
2014-10-19	@ Grevenmacher	W 2-0	39.5	1169	1154	34.25%	22.68%	43.08%	-0.14	+20.5	14
2014-10-19	UN Kaerjeng	D 0-0	49.0	1128	1214	33.10%	22.64%	44.26%	-0.21	+0.7	17
2014-10-19	@ Victoria Rosport	D 0-0	49.0	1214	1128	44.26%	22.64%	33.10%	+0.21	-0.7	10
2014-10-25	UN Kaerjeng	W 3-0	30.3	1341	1213	60.30%	21.12%	18.57%	+0.84	+14.7	23
2014-10-25	@ Progres Niedercorn	L 0-3	30.3	1213	1341	18.57%	21.12%	60.30%	-0.84	-14.7	10
2014-10-25	Victoria Rosport	W 1-0	42.3	1054	1128	34.72%	22.69%	42.60%	-0.15	+10.8	9
2014-10-25	@ Mondorf-les-Bains	L 0-1	42.3	1128	1054	42.60%	22.69%	34.72%	+0.15	-10.8	17
2014-10-26	Differdange 03	W 2-1	55.8	1047	1426	8.92%	17.52%	73.56%	-1.63	+16.4	12
2014-10-26	@ Hostert	L 1-2	55.8	1426	1047	73.56%	17.52%	8.92%	+1.63	-16.4	22
2014-10-26	Etzella Ettelbruck	L 1-4	44.1	1214	1202	46.69%	22.54%	30.76%	+0.27	-26.9	11
2014-10-26	@ Jeunesse Canach	W 4-1	44.1	1202	1214	30.76%	22.54%	46.69%	-0.27	+26.9	14
2014-10-26	F91 Dudelange	D 1-1	55.7	1190	1488	13.00%	19.53%	67.46%	-1.24	+3.2	15
2014-10-26	@ Rumelange	D 1-1	55.7	1488	1190	67.46%	19.53%	13.00%	+1.24	-3.2	23
2014-10-26	Grevenmacher	W 3-0	25.9	1447	1134	75.33%	16.81%	7.86%	+1.74	+6.1	24
2014-10-26	@ Fola Esch	L 0-3	25.9	1134	1447	7.86%	16.81%	75.33%	-1.74	-6.1	7
2014-10-26	Jeunesse Esch	D 0-0	49.9	1140	1371	17.69%	20.93%	61.37%	-0.91	+2.8	5
2014-10-26	@ Wiltz 71	D 0-0	49.9	1371	1140	61.37%	20.93%	17.69%	+0.91	-2.8	20
2014-11-02	Fola Esch	L 0-2	48.9	1485	1453	49.28%	22.40%	28.32%	+0.37	-23.0	23
2014-11-02	@ F91 Dudelange	W 2-0	48.9	1453	1485	28.32%	22.40%	49.28%	-0.37	+23.0	27
2014-11-02	Hostert	D 2-2	60.9	1368	1063	74.82%	17.02%	8.16%	+1.70	-3.0	21
2014-11-02	@ Jeunesse Esch	D 2-2	60.9	1063	1368	8.16%	17.02%	74.82%	-1.70	+3.0	13
2014-11-02	Jeunesse Canach	W 1-0	41.8	1128	1187	36.76%	22.72%	40.52%	-0.07	+10.4	10
2014-11-02	@ Grevenmacher	L 0-1	41.8	1187	1128	40.52%	22.72%	36.76%	+0.07	-10.4	11
2014-11-02	Mondorf-les-Bains	W 3-2	40.6	1409	1065	77.24%	15.97%	6.79%	+1.89	+1.7	25
2014-11-02	@ Differdange 03	L 2-3	40.6	1065	1409	6.79%	15.97%	77.24%	-1.89	-1.7	9
2014-11-02	Progres Niedercorn	D 1-1	54.1	1118	1356	17.13%	20.80%	62.07%	-0.94	+2.6	18
2014-11-02	@ Victoria Rosport	D 1-1	54.1	1356	1118	62.07%	20.80%	17.13%	+0.94	-2.6	24
2014-11-02	Rumelange	D 2-2	59.2	1199	1193	45.90%	22.58%	31.52%	+0.24	-0.6	11
2014-11-02	@ UN Kaerjeng	D 2-2	59.2	1193	1199	31.52%	22.58%	45.90%	-0.24	+0.6	16
2014-11-02	Wiltz 71	W 2-1	41.5	1229	1143	55.88%	21.78%	22.34%	+0.64	+6.0	17
2014-11-02	@ Etzella Ettelbruck	L 1-2	41.5	1143	1229	22.34%	21.78%	55.88%	-0.64	-6.0	5
2014-11-23	Etzella Ettelbruck	L 1-2	41.8	1066	1235	23.31%	21.91%	54.78%	-0.61	-6.2	13
2014-11-23	@ Hostert	W 2-1	41.8	1235	1066	54.78%	21.91%	23.31%	+0.61	+6.2	20
2014-11-23	F91 Dudelange	D 0-0	50.9	1177	1462	13.82%	19.83%	66.35%	-1.17	+3.4	12
2014-11-23	@ Jeunesse Canach	D 0-0	50.9	1462	1177	66.35%	19.83%	13.82%	+1.17	-3.4	24
2014-11-23	Grevenmacher	W 1-0	39.3	1137	1138	44.98%	22.62%	32.40%	+0.21	+8.7	8
2014-11-23	@ Wiltz 71	L 0-1	39.3	1138	1137	32.40%	22.62%	44.98%	-0.21	-8.7	10
2014-11-23	Jeunesse Esch	W 2-1	54.5	1063	1365	12.77%	19.44%	67.79%	-1.26	+15.3	12
2014-11-23	@ Mondorf-les-Bains	L 1-2	54.5	1365	1063	67.79%	19.44%	12.77%	+1.26	-15.3	21
2014-11-23	Progres Niedercorn	L 2-4	44.3	1194	1353	24.34%	22.03%	53.63%	-0.56	-10.0	16
2014-11-23	@ Rumelange	W 4-2	44.3	1353	1194	53.63%	22.03%	24.34%	+0.56	+10.0	27
2014-11-23	UN Kaerjeng	W 4-0	26.9	1476	1198	72.98%	17.74%	9.28%	+1.57	+9.6	30
2014-11-23	@ Fola Esch	L 0-4	26.9	1198	1476	9.28%	17.74%	72.98%	-1.57	-9.6	11
2014-11-23	Victoria Rosport	W 3-2	41.9	1411	1120	73.85%	17.41%	8.74%	+1.63	+2.2	28
2014-11-23	@ Differdange 03	L 2-3	41.9	1120	1411	8.74%	17.41%	73.85%	-1.63	-2.2	18
2015-02-22	Differdange 03	L 1-2	43.0	1241	1413	23.08%	21.88%	55.05%	-0.62	-6.2	20
2015-02-22	@ Etzella Ettelbruck	W 2-1	43.0	1413	1241	55.05%	21.88%	23.08%	+0.62	+6.2	31
2015-02-22	Fola Esch	L 0-1	33.9	1184	1486	12.76%	19.44%	67.80%	-1.26	-3.7	16
2015-02-22	@ Rumelange	W 1-0	33.9	1486	1184	67.80%	19.44%	12.76%	+1.26	+3.7	33
2015-02-22	Hostert	W 3-1	31.9	1458	1060	80.28%	14.48%	5.24%	+2.15	+2.3	27
2015-02-22	@ F91 Dudelange	L 1-3	31.9	1060	1458	5.24%	14.48%	80.28%	-2.15	-2.3	13
2015-02-22	Jeunesse Canach	W 1-0	33.7	1363	1180	65.55%	20.03%	14.42%	+1.11	+4.2	30
2015-02-22	@ Progres Niedercorn	L 0-1	33.7	1180	1363	14.42%	20.03%	65.55%	-1.11	-4.2	12
2015-02-22	Mondorf-les-Bains	D 0-0	49.0	1129	1079	51.68%	22.21%	26.10%	+0.46	-1.6	11
2015-02-22	@ Grevenmacher	D 0-0	49.0	1079	1129	26.10%	22.21%	51.68%	-0.46	+1.6	13
2015-02-22	Victoria Rosport	W 2-1	37.6	1350	1118	69.60%	18.90%	11.50%	+1.34	+3.2	24
2015-02-22	@ Jeunesse Esch	L 1-2	37.6	1118	1350	11.50%	18.90%	69.60%	-1.34	-3.2	18
2015-02-22	Wiltz 71	D 1-1	53.4	1189	1146	50.73%	22.29%	26.98%	+0.42	-1.3	12
2015-02-22	@ UN Kaerjeng	D 1-1	53.4	1146	1189	26.98%	22.29%	50.73%	-0.42	+1.3	9
2015-02-27	Rumelange	L 0-1	43.0	1176	1180	44.60%	22.63%	32.77%	+0.20	-11.2	12
2015-02-27	@ Jeunesse Canach	W 1-0	43.0	1180	1176	32.77%	22.63%	44.60%	-0.20	+11.2	19
2015-03-01	Etzella Ettelbruck	W 5-1	34.5	1353	1235	59.30%	21.29%	19.41%	+0.79	+16.7	27
2015-03-01	@ Jeunesse Esch	L 1-5	34.5	1235	1353	19.41%	21.29%	59.30%	-0.79	-16.7	20
2015-03-01	F91 Dudelange	L 0-5	26.1	1080	1460	8.86%	17.49%	73.65%	-1.64	-11.2	13
2015-03-01	@ Mondorf-les-Bains	W 5-0	26.1	1460	1080	73.65%	17.49%	8.86%	+1.64	+11.2	30
2015-03-01	Fola Esch	L 1-5	30.4	1115	1489	9.11%	17.64%	73.25%	-1.61	-7.8	18
2015-03-01	@ Victoria Rosport	W 5-1	30.4	1489	1115	73.25%	17.64%	9.11%	+1.61	+7.8	36
2015-03-01	Grevenmacher	D 1-1	55.4	1419	1128	73.91%	17.38%	8.70%	+1.63	-3.9	32
2015-03-01	@ Differdange 03	D 1-1	55.4	1128	1419	8.70%	17.38%	73.91%	-1.63	+3.9	12
2015-03-01	Progres Niedercorn	D 0-0	49.8	1147	1367	18.56%	21.12%	60.32%	-0.86	+2.7	10
2015-03-01	@ Wiltz 71	D 0-0	49.8	1367	1147	60.32%	21.12%	18.56%	+0.86	-2.7	31
2015-03-01	UN Kaerjeng	W 3-0	39.5	1057	1187	27.64%	22.35%	50.01%	-0.42	+33.8	16
2015-03-01	@ Hostert	L 0-3	39.5	1187	1057	50.01%	22.35%	27.64%	+0.42	-33.8	12
2015-03-05	Jeunesse Esch	W 1-0	48.0	1132	1370	17.12%	20.79%	62.09%	-0.94	+15.0	15
2015-03-05	@ Grevenmacher	L 0-1	48.0	1370	1132	62.09%	20.79%	17.12%	+0.94	-15.0	27
2015-03-08	Differdange 03	W 2-1	48.4	1472	1415	52.37%	22.15%	25.48%	+0.49	+6.7	33
2015-03-08	@ F91 Dudelange	L 1-2	48.4	1415	1472	25.48%	22.15%	52.37%	-0.49	-6.7	32
2015-03-08	Hostert	W 3-2	42.0	1365	1091	72.67%	17.86%	9.47%	+1.55	+2.4	34
2015-03-08	@ Progres Niedercorn	L 2-3	42.0	1091	1365	9.47%	17.86%	72.67%	-1.55	-2.4	16
2015-03-08	Jeunesse Canach	W 1-0	31.2	1497	1165	76.53%	16.29%	7.18%	+1.83	+2.0	39
2015-03-08	@ Fola Esch	L 0-1	31.2	1165	1497	7.18%	16.29%	76.53%	-1.83	-2.0	12
2015-03-08	Mondorf-les-Bains	W 2-0	33.0	1153	1069	55.68%	21.80%	22.52%	+0.63	+12.1	15
2015-03-08	@ UN Kaerjeng	L 0-2	33.0	1069	1153	22.52%	21.80%	55.68%	-0.63	-12.1	13
2015-03-08	Victoria Rosport	D 1-1	53.6	1219	1107	58.65%	21.39%	19.96%	+0.76	-2.2	21
2015-03-08	@ Etzella Ettelbruck	D 1-1	53.6	1107	1219	19.96%	21.39%	58.65%	-0.76	+2.2	19
2015-03-08	Wiltz 71	W 4-0	32.1	1191	1150	50.53%	22.31%	27.16%	+0.42	+26.9	22
2015-03-08	@ Rumelange	L 0-4	32.1	1150	1191	27.16%	22.31%	50.53%	-0.42	-26.9	10
2015-03-13	F91 Dudelange	L 0-4	36.9	1355	1478	28.38%	22.40%	49.21%	-0.39	-27.9	27
2015-03-13	@ Jeunesse Esch	W 4-0	36.9	1478	1355	49.21%	22.40%	28.38%	+0.39	+27.9	36
2015-03-14	Progres Niedercorn	W 1-0	49.3	1057	1367	12.29%	19.25%	68.47%	-1.30	+16.4	16
2015-03-14	@ Mondorf-les-Bains	L 0-1	49.3	1367	1057	68.47%	19.25%	12.29%	+1.30	-16.4	34
2015-03-15	Fola Esch	D 1-1	55.8	1123	1499	9.02%	17.59%	73.39%	-1.62	+3.8	11
2015-03-15	@ Wiltz 71	D 1-1	55.8	1499	1123	73.39%	17.59%	9.02%	+1.62	-3.8	40
2015-03-15	Grevenmacher	L 2-3	56.4	1216	1147	53.98%	21.99%	24.03%	+0.55	-11.8	21
2015-03-15	@ Etzella Ettelbruck	W 3-2	56.4	1147	1216	24.03%	21.99%	53.98%	-0.55	+11.8	18
2015-03-15	Jeunesse Canach	D 1-1	53.2	1109	1163	37.61%	22.73%	39.66%	-0.05	+0.1	20
2015-03-15	@ Victoria Rosport	D 1-1	53.2	1163	1109	39.66%	22.73%	37.61%	+0.05	-0.1	13
2015-03-15	Rumelange	D 1-1	53.3	1089	1218	27.73%	22.35%	49.92%	-0.41	+1.2	17
2015-03-15	@ Hostert	D 1-1	53.3	1218	1089	49.92%	22.35%	27.73%	+0.41	-1.2	23
2015-03-15	UN Kaerjeng	W 5-0	27.2	1409	1166	70.46%	18.63%	10.91%	+1.40	+14.0	35
2015-03-15	@ Differdange 03	L 0-5	27.2	1166	1409	10.91%	18.63%	70.46%	-1.40	-14.0	15
2015-03-18	Differdange 03	L 1-2	48.5	1351	1423	35.03%	22.69%	42.28%	-0.14	-8.7	34
2015-03-18	@ Progres Niedercorn	W 2-1	48.5	1423	1351	42.28%	22.69%	35.03%	+0.14	+8.7	38
2015-03-19	Etzella Ettelbruck	W 2-0	29.3	1506	1205	74.59%	17.11%	8.30%	+1.68	+4.5	39
2015-03-19	@ F91 Dudelange	L 0-2	29.3	1205	1506	8.30%	17.11%	74.59%	-1.68	-4.5	21
2015-03-19	Hostert	W 3-1	32.2	1495	1090	80.64%	14.29%	5.07%	+2.19	+2.3	43
2015-03-19	@ Fola Esch	L 1-3	32.2	1090	1495	5.07%	14.29%	80.64%	-2.19	-2.2	17
2015-03-19	Victoria Rosport	D 2-2	59.2	1158	1109	51.49%	22.23%	26.28%	+0.45	-1.0	19
2015-03-19	@ Grevenmacher	D 2-2	59.2	1109	1158	26.28%	22.23%	51.49%	-0.45	+1.0	21
2015-03-22	Jeunesse Esch	L 1-3	39.2	1152	1327	22.71%	21.83%	55.46%	-0.64	-10.5	15
2015-03-22	@ UN Kaerjeng	W 3-1	39.2	1327	1152	55.46%	21.83%	22.71%	+0.64	+10.5	30
2015-03-22	Mondorf-les-Bains	D 1-1	53.8	1217	1073	61.89%	20.83%	17.28%	+0.91	-2.6	24
2015-03-22	@ Rumelange	D 1-1	53.8	1073	1217	17.28%	20.83%	61.89%	-0.91	+2.6	17
2015-03-22	Wiltz 71	L 0-3	39.5	1163	1126	49.87%	22.36%	27.78%	+0.39	-33.8	13
2015-03-22	@ Jeunesse Canach	W 3-0	39.5	1126	1163	27.78%	22.36%	49.87%	-0.39	+33.8	14
2015-04-06	Progres Niedercorn	D 2-2	60.6	1337	1342	44.50%	22.63%	32.87%	+0.19	-0.5	31
2015-04-06	@ Jeunesse Esch	D 2-2	60.6	1342	1337	32.87%	22.63%	44.50%	-0.19	+0.5	35
2015-04-08	F91 Dudelange	L 0-2	29.7	1157	1511	10.05%	18.18%	71.77%	-1.51	-5.5	19
2015-04-08	@ Grevenmacher	W 2-0	29.7	1511	1157	71.77%	18.18%	10.05%	+1.51	+5.5	42
2015-04-08	Fola Esch	L 0-1	30.6	1076	1498	7.29%	16.38%	76.33%	-1.84	-2.1	17
2015-04-08	@ Mondorf-les-Bains	W 1-0	30.6	1498	1076	76.33%	16.38%	7.29%	+1.84	+2.1	46
2015-04-08	Jeunesse Canach	D 2-2	59.0	1088	1129	39.37%	22.73%	37.90%	+0.01	-0.1	18
2015-04-08	@ Hostert	D 2-2	59.0	1129	1088	37.90%	22.73%	39.37%	-0.01	+0.1	14
2015-04-08	Rumelange	W 2-1	38.9	1431	1214	68.44%	19.25%	12.30%	+1.27	+3.4	41
2015-04-08	@ Differdange 03	L 1-2	38.9	1214	1431	12.30%	19.25%	68.44%	-1.27	-3.4	24
2015-04-08	UN Kaerjeng	L 0-3	40.3	1200	1141	52.71%	22.12%	25.17%	+0.50	-35.4	21
2015-04-08	@ Etzella Ettelbruck	W 3-0	40.3	1141	1200	25.17%	22.12%	52.71%	-0.50	+35.4	18
2015-04-08	Wiltz 71	W 2-1	46.7	1110	1160	38.12%	22.73%	39.15%	-0.03	+9.5	24
2015-04-08	@ Victoria Rosport	L 1-2	46.7	1160	1110	39.15%	22.73%	38.12%	+0.03	-9.5	14
2015-04-12	Differdange 03	L 2-3	63.7	1500	1435	53.40%	22.05%	24.55%	+0.53	-11.7	46
2015-04-12	@ Fola Esch	W 3-2	63.7	1435	1500	24.55%	22.05%	53.40%	-0.53	+11.7	44
2015-04-12	Etzella Ettelbruck	W 3-0	28.7	1342	1165	65.09%	20.14%	14.77%	+1.08	+11.8	38
2015-04-12	@ Progres Niedercorn	L 0-3	28.7	1165	1342	14.77%	20.14%	65.09%	-1.08	-11.8	21
2015-04-12	Grevenmacher	L 1-2	49.5	1176	1152	48.38%	22.45%	29.17%	+0.33	-11.3	18
2015-04-12	@ UN Kaerjeng	W 2-1	49.5	1152	1176	29.17%	22.45%	48.38%	-0.33	+11.3	22
2015-04-12	Hostert	D 3-3	63.4	1151	1088	53.19%	22.08%	24.74%	+0.52	-1.0	15
2015-04-12	@ Wiltz 71	D 3-3	63.4	1088	1151	24.74%	22.08%	53.19%	-0.52	+1.0	19
2015-04-12	Jeunesse Esch	L 0-1	38.5	1211	1337	28.10%	22.38%	49.52%	-0.40	-7.7	24
2015-04-12	@ Rumelange	W 1-0	38.5	1337	1211	49.52%	22.38%	28.10%	+0.40	+7.7	34
2015-04-12	Mondorf-les-Bains	L 0-1	45.1	1129	1074	52.23%	22.17%	25.60%	+0.48	-12.8	14
2015-04-12	@ Jeunesse Canach	W 1-0	45.1	1074	1129	25.60%	22.17%	52.23%	-0.48	+12.8	20
2015-04-12	Victoria Rosport	W 4-0	24.3	1516	1120	80.17%	14.53%	5.29%	+2.14	+5.2	45
2015-04-12	@ F91 Dudelange	L 0-4	24.3	1120	1516	5.29%	14.53%	80.17%	-2.14	-5.2	24
2015-04-19	Fola Esch	L 0-1	41.6	1345	1488	26.11%	22.21%	51.68%	-0.48	-7.3	34
2015-04-19	@ Jeunesse Esch	W 1-0	41.6	1488	1345	51.68%	22.21%	26.11%	+0.48	+7.3	49
2015-04-19	Hostert	W 4-1	38.5	1115	1089	48.58%	22.44%	28.98%	+0.34	+18.3	27
2015-04-19	@ Victoria Rosport	L 1-4	38.5	1089	1115	28.98%	22.44%	48.58%	-0.34	-18.3	19
2015-04-19	Jeunesse Canach	W 2-1	35.9	1447	1116	76.41%	16.34%	7.25%	+1.82	+1.9	47
2015-04-19	@ Differdange 03	L 1-2	35.9	1116	1447	7.25%	16.34%	76.41%	-1.82	-1.9	14
2015-04-19	Progres Niedercorn	L 1-3	38.8	1163	1354	21.18%	21.60%	57.22%	-0.71	-9.9	22
2015-04-19	@ Grevenmacher	W 3-1	38.8	1354	1163	57.22%	21.60%	21.18%	+0.71	+9.9	41
2015-04-19	Rumelange	W 1-0	41.4	1153	1203	38.08%	22.73%	39.18%	-0.03	+10.1	24
2015-04-19	@ Etzella Ettelbruck	L 0-1	41.4	1203	1153	39.18%	22.73%	38.08%	+0.03	-10.1	24
2015-04-19	UN Kaerjeng	L 2-3	63.2	1522	1165	77.96%	15.63%	6.41%	+1.95	-16.3	45
2015-04-19	@ F91 Dudelange	W 3-2	63.2	1165	1522	6.41%	15.63%	77.96%	-1.95	+16.3	21
2015-04-19	Wiltz 71	W 3-1	44.7	1087	1150	36.25%	22.72%	41.04%	-0.09	+17.1	23
2015-04-19	@ Mondorf-les-Bains	L 1-3	44.7	1150	1087	41.04%	22.72%	36.25%	+0.09	-17.1	15
2015-04-25	Etzella Ettelbruck	W 2-1	36.6	1495	1163	76.52%	16.29%	7.19%	+1.83	+1.9	52
2015-04-25	@ Fola Esch	L 1-2	36.6	1163	1495	7.19%	16.29%	76.52%	-1.83	-1.9	24
2015-04-25	Jeunesse Esch	D 0-0	49.7	1114	1337	18.32%	21.07%	60.60%	-0.87	+2.7	15
2015-04-25	@ Jeunesse Canach	D 0-0	49.7	1337	1114	60.60%	21.07%	18.32%	+0.87	-2.7	35
2015-04-25	Victoria Rosport	L 0-1	44.9	1181	1133	51.39%	22.24%	26.37%	+0.45	-12.7	21
2015-04-25	@ UN Kaerjeng	W 1-0	44.9	1133	1181	26.37%	22.24%	51.39%	-0.45	+12.7	30
2015-04-26	Differdange 03	W 2-1	55.3	1133	1448	11.97%	19.11%	68.91%	-1.32	+15.5	18
2015-04-26	@ Wiltz 71	L 1-2	55.3	1448	1133	68.91%	19.11%	11.97%	+1.32	-15.5	47
2015-04-26	F91 Dudelange	L 1-2	48.1	1364	1505	26.36%	22.24%	51.41%	-0.47	-6.9	41
2015-04-26	@ Progres Niedercorn	W 2-1	48.1	1505	1364	51.41%	22.24%	26.36%	+0.47	+6.9	48
2015-04-26	Grevenmacher	L 0-3	39.6	1193	1153	50.30%	22.32%	27.37%	+0.41	-34.0	24
2015-04-26	@ Rumelange	W 3-0	39.6	1153	1193	27.37%	22.32%	50.30%	-0.41	+34.0	25
2015-04-26	Mondorf-les-Bains	W 2-1	46.0	1070	1104	40.48%	22.72%	36.80%	+0.05	+9.1	22
2015-04-26	@ Hostert	L 1-2	46.0	1104	1070	36.80%	22.72%	40.48%	-0.05	-9.1	23
2015-05-01	Wiltz 71	W 2-0	30.3	1335	1148	65.86%	19.96%	14.19%	+1.12	+7.8	38
2015-05-01	@ Jeunesse Esch	L 0-2	30.3	1148	1335	14.19%	19.96%	65.86%	-1.12	-7.8	18
2015-05-03	Fola Esch	L 1-5	32.6	1187	1497	12.31%	19.26%	68.43%	-1.29	-10.7	25
2015-05-03	@ Grevenmacher	W 5-1	32.6	1497	1187	68.43%	19.26%	12.31%	+1.29	+10.7	55
2015-05-03	Hostert	W 6-1	27.7	1433	1079	77.79%	15.71%	6.50%	+1.94	+6.6	50
2015-05-03	@ Differdange 03	L 1-6	27.7	1079	1433	6.50%	15.71%	77.79%	-1.94	-6.6	22
2015-05-03	Jeunesse Canach	W 4-0	32.0	1161	1117	50.88%	22.28%	26.84%	+0.43	+26.7	27
2015-05-03	@ Etzella Ettelbruck	L 0-4	32.0	1117	1161	26.84%	22.28%	50.88%	-0.43	-26.7	15
2015-05-03	Mondorf-les-Bains	L 1-4	45.3	1146	1095	51.73%	22.21%	26.06%	+0.46	-29.4	30
2015-05-03	@ Victoria Rosport	W 4-1	45.3	1095	1146	26.06%	22.21%	51.73%	-0.46	+29.4	26
2015-05-03	Progres Niedercorn	W 2-1	52.2	1169	1357	21.42%	21.64%	56.94%	-0.70	+13.1	24
2015-05-03	@ UN Kaerjeng	L 1-2	52.2	1357	1169	56.94%	21.64%	21.42%	+0.70	-13.1	41
2015-05-03	Rumelange	W 2-0	27.9	1512	1159	77.77%	15.72%	6.51%	+1.93	+3.4	51
2015-05-03	@ F91 Dudelange	L 0-2	27.9	1159	1512	6.51%	15.72%	77.77%	-1.93	-3.4	24
2015-05-10	Differdange 03	L 1-2	38.1	1124	1440	11.99%	19.12%	68.89%	-1.32	-3.3	26
2015-05-10	@ Mondorf-les-Bains	W 2-1	38.1	1440	1124	68.89%	19.12%	11.99%	+1.32	+3.3	53
2015-05-10	Etzella Ettelbruck	W 3-1	44.1	1140	1188	38.49%	22.73%	38.78%	-0.02	+16.4	21
2015-05-10	@ Wiltz 71	L 1-3	44.1	1188	1140	38.78%	22.73%	38.49%	+0.02	-16.4	27
2015-05-10	F91 Dudelange	W 1-0	50.4	1508	1516	44.07%	22.65%	33.28%	+0.18	+8.9	58
2015-05-10	@ Fola Esch	L 0-1	50.4	1516	1508	33.28%	22.65%	44.07%	-0.18	-8.9	51
2015-05-10	Grevenmacher	L 0-3	34.5	1090	1177	33.09%	22.64%	44.27%	-0.21	-24.2	15
2015-05-10	@ Jeunesse Canach	W 3-0	34.5	1177	1090	44.27%	22.64%	33.09%	+0.21	+24.2	28
2015-05-10	Jeunesse Esch	L 0-1	33.4	1073	1342	14.81%	20.16%	65.03%	-1.10	-4.3	22
2015-05-10	@ Hostert	W 1-0	33.4	1342	1073	65.03%	20.16%	14.81%	+1.10	+4.3	41
2015-05-10	UN Kaerjeng	W 3-1	43.2	1155	1182	41.49%	22.71%	35.80%	+0.09	+15.4	27
2015-05-10	@ Rumelange	L 1-3	43.2	1182	1155	35.80%	22.71%	41.49%	-0.09	-15.4	24
2015-05-10	Victoria Rosport	W 2-0	29.2	1344	1116	69.28%	19.00%	11.71%	+1.32	+6.4	44
2015-05-10	@ Progres Niedercorn	L 0-2	29.2	1116	1344	11.71%	19.00%	69.28%	-1.32	-6.5	30
2015-05-17	Differdange 03	L 0-4	26.8	1110	1443	11.05%	18.70%	70.25%	-1.41	-11.5	30
2015-05-17	@ Victoria Rosport	W 4-0	26.8	1443	1110	70.25%	18.70%	11.05%	+1.41	+11.5	56
2015-05-17	Fola Esch	L 0-3	27.9	1166	1517	10.20%	18.26%	71.54%	-1.49	-8.1	24
2015-05-17	@ UN Kaerjeng	W 3-0	27.9	1517	1166	71.54%	18.26%	10.20%	+1.49	+8.1	61
2015-05-17	Hostert	W 3-2	46.2	1171	1068	57.72%	21.53%	20.74%	+0.72	+5.3	30
2015-05-17	@ Etzella Ettelbruck	L 2-3	46.2	1068	1171	20.74%	21.53%	57.72%	-0.72	-5.3	22
2015-05-17	Jeunesse Canach	W 3-0	23.8	1507	1066	82.39%	13.33%	4.28%	+2.36	+3.1	54
2015-05-17	@ F91 Dudelange	L 0-3	23.8	1066	1507	4.28%	13.33%	82.39%	-2.36	-3.1	15
2015-05-17	Mondorf-les-Bains	W 1-0	32.3	1347	1121	69.15%	19.04%	11.81%	+1.32	+3.5	44
2015-05-17	@ Jeunesse Esch	L 0-1	32.3	1121	1347	11.81%	19.04%	69.15%	-1.32	-3.5	26
2015-05-17	Rumelange	W 1-0	33.7	1351	1171	65.26%	20.10%	14.63%	+1.09	+4.3	47
2015-05-17	@ Progres Niedercorn	L 0-1	33.7	1171	1351	14.63%	20.10%	65.26%	-1.09	-4.3	27
2015-05-17	Wiltz 71	L 0-3	39.8	1201	1157	50.87%	22.28%	26.85%	+0.43	-34.3	28
2015-05-17	@ Grevenmacher	W 3-0	39.8	1157	1201	26.85%	22.28%	50.87%	-0.43	+34.3	24
2015-05-23	Etzella Ettelbruck	W 4-1	42.1	1117	1177	36.78%	22.72%	40.50%	-0.07	+24.0	29
2015-05-23	@ Mondorf-les-Bains	L 1-4	42.1	1177	1117	40.50%	22.72%	36.78%	+0.07	-24.0	30
2015-05-23	F91 Dudelange	W 3-0	46.1	1191	1510	11.81%	19.04%	69.15%	-1.34	+45.3	27
2015-05-23	@ Wiltz 71	L 0-3	46.1	1510	1191	69.15%	19.04%	11.81%	+1.34	-45.3	54
2015-05-23	Grevenmacher	D 0-0	48.9	1063	1166	30.88%	22.55%	46.57%	-0.29	+1.0	23
2015-05-23	@ Hostert	D 0-0	48.9	1166	1063	46.57%	22.55%	30.88%	+0.29	-0.9	29
2015-05-23	Jeunesse Esch	W 3-2	49.8	1454	1350	57.85%	21.51%	20.64%	+0.72	+5.3	59
2015-05-23	@ Differdange 03	L 2-3	49.8	1350	1454	20.64%	21.51%	57.85%	-0.72	-5.3	44
2015-05-23	Progres Niedercorn	L 2-4	60.9	1525	1355	64.39%	20.31%	15.30%	+1.04	-22.7	61
2015-05-23	@ Fola Esch	W 4-2	60.9	1355	1525	15.30%	20.31%	64.39%	-1.04	+22.7	50
2015-05-23	UN Kaerjeng	L 1-5	37.8	1063	1158	31.90%	22.60%	45.50%	-0.25	-25.6	15
2015-05-23	@ Jeunesse Canach	W 5-1	37.8	1158	1063	45.50%	22.60%	31.90%	+0.25	+25.6	27
2015-05-23	Victoria Rosport	D 2-2	59.2	1167	1098	53.80%	22.01%	24.19%	+0.55	-1.2	28
2015-05-23	@ Rumelange	D 2-2	59.2	1098	1167	24.19%	22.01%	53.80%	-0.55	+1.2	31

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2015-04-19	6.41%	UN Kaerjeng	1165	3	@ F91 Dudelange	1522	2
2	2014-10-26	8.92%	@ Hostert	1047	2	Differdange 03	1426	1
3	2015-05-23	11.81%	@ Wiltz 71	1191	3	F91 Dudelange	1510	0
4	2015-04-26	11.97%	@ Wiltz 71	1133	2	Differdange 03	1448	1
5	2015-03-14	12.29%	@ Mondorf-les-Bains	1057	1	Progres Niedercorn	1367	0
6	2014-11-23	12.77%	@ Mondorf-les-Bains	1063	2	Jeunesse Esch	1365	1
7	2014-08-10	13.93%	@ Victoria Rosport	1052	3	Jeunesse Esch	1336	1
8	2015-05-23	15.30%	Progres Niedercorn	1355	4	@ Fola Esch	1525	2
9	2015-03-05	17.12%	@ Grevenmacher	1132	1	Jeunesse Esch	1370	0
10	2014-08-24	21.24%	@ Mondorf-les-Bains	1073	3	UN Kaerjeng	1263	2
11	2015-05-03	21.42%	@ UN Kaerjeng	1169	2	Progres Niedercorn	1357	1
12	2014-08-30	23.05%	Etzella Ettelbruck	1187	2	@ Grevenmacher	1266	0
13	2015-03-15	24.03%	Grevenmacher	1147	3	@ Etzella Ettelbruck	1216	2
14	2015-04-12	24.55%	Differdange 03	1435	3	@ Fola Esch	1500	2
15	2015-04-08	25.17%	UN Kaerjeng	1141	3	@ Etzella Ettelbruck	1200	0
16	2015-04-12	25.60%	Mondorf-les-Bains	1074	1	@ Jeunesse Canach	1129	0
17	2015-05-03	26.06%	Mondorf-les-Bains	1095	4	@ Victoria Rosport	1146	1
18	2015-04-25	26.37%	Victoria Rosport	1133	1	@ UN Kaerjeng	1181	0
19	2014-08-24	26.45%	@ Victoria Rosport	1076	4	Etzella Ettelbruck	1216	1
20	2015-05-17	26.85%	Wiltz 71	1157	3	@ Grevenmacher	1201	0
21	2014-09-15	27.25%	@ Victoria Rosport	1107	2	Grevenmacher	1241	0
22	2014-08-03	27.33%	@ Victoria Rosport	1041	2	Rumelange	1173	1
23	2015-04-26	27.37%	Grevenmacher	1153	3	@ Rumelange	1193	0
24	2014-08-03	27.53%	@ Progres Niedercorn	1290	1	Fola Esch	1420	0
25	2015-03-01	27.64%	@ Hostert	1057	3	UN Kaerjeng	1187	0

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	2015-05-23	45.30	@ Wiltz 71	3	1191	11.81%	F91 Dudelange	0	1510	69.15%	19.04%
2	2015-04-08	35.43	UN Kaerjeng	3	1141	25.17%	@ Etzella Ettelbruck	0	1200	52.71%	22.12%
3	2015-05-17	34.34	Wiltz 71	3	1157	26.85%	@ Grevenmacher	0	1201	50.87%	22.28%
4	2015-04-26	34.01	Grevenmacher	3	1153	27.37%	@ Rumelange	0	1193	50.30%	22.32%
5	2015-03-01	33.83	@ Hostert	3	1057	27.64%	UN Kaerjeng	0	1187	50.01%	22.35%
6	2015-03-22	33.75	Wiltz 71	3	1126	27.78%	@ Jeunesse Canach	0	1163	49.87%	22.36%
7	2015-05-03	29.39	Mondorf-les-Bains	4	1095	26.06%	@ Victoria Rosport	1	1146	51.73%	22.21%
8	2014-08-24	29.18	@ Victoria Rosport	4	1076	26.45%	Etzella Ettelbruck	1	1216	51.31%	22.25%
9	2015-03-13	27.93	F91 Dudelange	4	1478	49.21%	@ Jeunesse Esch	0	1355	28.38%	22.40%
10	2014-10-03	26.91	@ Progres Niedercorn	6	1319	61.36%	Grevenmacher	0	1181	17.71%	20.93%
11	2015-03-08	26.91	@ Rumelange	4	1191	50.53%	Wiltz 71	0	1150	27.16%	22.31%
12	2014-10-26	26.90	Etzella Ettelbruck	4	1202	30.76%	@ Jeunesse Canach	1	1214	46.69%	22.54%
13	2015-05-03	26.65	@ Etzella Ettelbruck	4	1161	50.88%	Jeunesse Canach	0	1117	26.84%	22.28%
14	2014-08-10	25.99	@ Victoria Rosport	3	1052	13.93%	Jeunesse Esch	1	1336	66.21%	19.87%
15	2014-08-17	25.67	Jeunesse Esch	3	1310	41.71%	@ Etzella Ettelbruck	0	1242	35.58%	22.71%
16	2015-05-23	25.62	UN Kaerjeng	5	1158	45.50%	@ Jeunesse Canach	1	1063	31.90%	22.60%
17	2014-08-30	25.38	Etzella Ettelbruck	2	1187	23.05%	@ Grevenmacher	0	1266	55.07%	21.87%
18	2015-05-10	24.23	Grevenmacher	3	1177	44.27%	@ Jeunesse Canach	0	1090	33.09%	22.64%
19	2015-05-23	23.95	@ Mondorf-les-Bains	4	1117	36.78%	Etzella Ettelbruck	1	1177	40.50%	22.72%
20	2014-10-02	23.58	F91 Dudelange	5	1459	60.42%	@ UN Kaerjeng	0	1238	18.48%	21.10%
21	2014-09-15	23.47	@ Victoria Rosport	2	1107	27.25%	Grevenmacher	0	1241	50.44%	22.31%
22	2014-11-02	23.01	Fola Esch	2	1453	28.32%	@ F91 Dudelange	0	1485	49.28%	22.40%
23	2015-05-23	22.67	Progres Niedercorn	4	1355	15.30%	@ Fola Esch	2	1525	64.39%	20.31%
24	2014-10-19	20.54	Rumelange	2	1169	34.25%	@ Grevenmacher	0	1154	43.08%	22.68%
25	2014-09-28	20.52	UN Kaerjeng	2	1217	34.32%	@ Grevenmacher	0	1202	43.01%	22.68%

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	2014-08-01	65.3	@ Jeunesse Esch	3	1336	38.85%	Differdange 03	3	1380	38.41%	22.73%
2	2015-04-12	63.7	Differdange 03	3	1435	24.55%	@ Fola Esch	2	1500	53.40%	22.05%
3	2015-04-12	63.4	@ Wiltz 71	3	1151	53.19%	Hostert	3	1088	24.74%	22.08%
4	2015-04-19	63.2	UN Kaerjeng	3	1165	6.41%	@ F91 Dudelange	2	1522	77.96%	15.63%
5	2014-08-28	62.7	@ F91 Dudelange	2	1445	57.30%	Jeunesse Esch	2	1346	21.11%	21.59%
6	2014-11-02	60.9	@ Jeunesse Esch	2	1368	74.82%	Hostert	2	1063	8.16%	17.02%
7	2015-05-23	60.9	Progres Niedercorn	4	1355	15.30%	@ Fola Esch	2	1525	64.39%	20.31%
8	2015-04-06	60.6	@ Jeunesse Esch	2	1337	44.50%	Progres Niedercorn	2	1342	32.87%	22.63%
9	2014-09-19	60.5	@ Progres Niedercorn	2	1311	38.58%	Jeunesse Esch	2	1358	38.69%	22.73%
10	2014-08-29	60.4	@ Progres Niedercorn	2	1325	70.18%	Mondorf-les-Bains	2	1085	11.10%	18.72%
11	2014-08-28	59.6	@ Rumelange	2	1171	62.49%	Hostert	2	1021	16.80%	20.72%
12	2014-11-02	59.2	@ UN Kaerjeng	2	1199	45.90%	Rumelange	2	1193	31.52%	22.58%
13	2015-03-19	59.2	@ Grevenmacher	2	1158	51.49%	Victoria Rosport	2	1109	26.28%	22.23%
14	2015-05-23	59.2	@ Rumelange	2	1167	53.80%	Victoria Rosport	2	1098	24.19%	22.01%
15	2015-04-08	59.0	@ Hostert	2	1088	39.37%	Jeunesse Canach	2	1129	37.90%	22.73%
16	2014-09-27	57.9	@ Differdange 03	1	1413	42.29%	Fola Esch	1	1433	35.02%	22.69%
17	2014-08-24	57.5	@ Differdange 03	1	1384	36.61%	F91 Dudelange	1	1445	40.67%	22.72%
18	2014-08-24	57.2	@ Mondorf-les-Bains	3	1073	21.24%	UN Kaerjeng	2	1263	57.15%	21.61%
19	2014-10-02	56.9	@ Fola Esch	1	1434	54.18%	Jeunesse Esch	1	1362	23.84%	21.97%
20	2015-03-15	56.4	Grevenmacher	3	1147	24.03%	@ Etzella Ettelbruck	2	1216	53.98%	21.99%
21	2014-10-26	55.8	@ Hostert	2	1047	8.92%	Differdange 03	1	1426	73.56%	17.52%
22	2015-03-15	55.8	@ Wiltz 71	1	1123	9.02%	Fola Esch	1	1499	73.39%	17.59%
23	2014-10-26	55.7	@ Rumelange	1	1190	13.00%	F91 Dudelange	1	1488	67.46%	19.53%
24	2015-03-01	55.4	@ Differdange 03	1	1419	73.91%	Grevenmacher	1	1128	8.70%	17.38%
25	2015-04-26	55.3	@ Wiltz 71	2	1133	11.97%	Differdange 03	1	1448	68.91%	19.11%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2015-05-17	23.8	@ F91 Dudelange	3	1507	82.39%	Jeunesse Canach	0	1066	4.28%	13.33%
2	2015-04-12	24.3	@ F91 Dudelange	4	1516	80.17%	Victoria Rosport	0	1120	5.29%	14.53%
3	2014-10-26	25.9	@ Fola Esch	3	1447	75.33%	Grevenmacher	0	1134	7.86%	16.81%
4	2015-03-01	26.1	F91 Dudelange	5	1460	73.65%	@ Mondorf-les-Bains	0	1080	8.86%	17.49%
5	2014-10-17	26.7	@ Differdange 03	3	1418	72.44%	Wiltz 71	0	1148	9.62%	17.94%
6	2015-05-17	26.8	Differdange 03	4	1443	70.25%	@ Victoria Rosport	0	1110	11.05%	18.70%
7	2014-11-23	26.9	@ Fola Esch	4	1476	72.98%	UN Kaerjeng	0	1198	9.28%	17.74%
8	2015-03-15	27.2	@ Differdange 03	5	1409	70.46%	UN Kaerjeng	0	1166	10.91%	18.63%
9	2015-05-03	27.7	@ Differdange 03	6	1433	77.79%	Hostert	1	1079	6.50%	15.71%
10	2015-05-03	27.9	@ F91 Dudelange	2	1512	77.77%	Rumelange	0	1159	6.51%	15.72%
11	2015-05-17	27.9	Fola Esch	3	1517	71.54%	@ UN Kaerjeng	0	1166	10.20%	18.26%
12	2014-08-03	28.3	@ F91 Dudelange	3	1435	69.01%	Wiltz 71	0	1211	11.91%	19.09%
13	2014-09-21	28.3	@ F91 Dudelange	5	1440	68.91%	Grevenmacher	0	1217	11.97%	19.11%
14	2015-04-12	28.7	@ Progres Niedercorn	3	1342	65.09%	Etzella Ettelbruck	0	1165	14.77%	20.14%
15	2014-08-17	29.0	@ UN Kaerjeng	2	1257	69.08%	Hostert	0	1031	11.85%	19.06%
16	2014-08-03	29.2	@ Etzella Ettelbruck	3	1233	62.10%	Mondorf-les-Bains	0	1087	17.11%	20.79%
17	2015-05-10	29.2	@ Progres Niedercorn	2	1344	69.28%	Victoria Rosport	0	1116	11.71%	19.00%
18	2015-03-19	29.3	@ F91 Dudelange	2	1506	74.59%	Etzella Ettelbruck	0	1205	8.30%	17.11%
19	2014-08-10	29.7	@ Fola Esch	7	1408	70.71%	Rumelange	1	1162	10.74%	18.54%
20	2015-04-08	29.7	F91 Dudelange	2	1511	71.77%	@ Grevenmacher	0	1157	10.05%	18.18%
21	2014-09-21	30.3	@ Fola Esch	4	1429	77.58%	Mondorf-les-Bains	1	1079	6.61%	15.81%
22	2014-10-03	30.3	@ Progres Niedercorn	6	1319	61.36%	Grevenmacher	0	1181	17.71%	20.93%
23	2014-10-25	30.3	@ Progres Niedercorn	3	1341	60.30%	UN Kaerjeng	0	1213	18.57%	21.12%
24	2015-05-01	30.3	@ Jeunesse Esch	2	1335	65.86%	Wiltz 71	0	1148	14.19%	19.96%
25	2015-03-01	30.4	Fola Esch	5	1489	73.25%	@ Victoria Rosport	1	1115	9.11%	17.64%