2018-19 Luxembourg National Division Season

182 games

Final

Champion

F91 Dudelange

59 points

Relegated

No relegation

Biggest Overachiever

UNA Strassen

6.60 points above expected

39 points · 32.40 expected points

Biggest Disappointment

Progres Niedercorn

9.32 points below expected

44 points · 53.32 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	26	18	5	3	59	72	33	+39	56.80	+2.20
2	Fola Esch	26	15	5	6	50	65	28	+37	49.30	+0.70
3	Jeunesse Esch	26	14	6	6	48	46	30	+16	43.42	+4.58
4	Progres Niedercorn	26	13	5	8	44	45	35	+10	53.32	-9.32
5	Differdange 03	26	13	5	8	44	35	33	+2	38.72	+5.28
6	Racing FC Union Luxembourg	26	11	6	9	39	42	31	+11	41.45	-2.45
7	UNA Strassen	26	12	3	11	39	46	43	+3	32.40	+6.60
8	Union Titus Petange	26	11	4	11	37	38	43	-5	32.31	+4.69
9	Mondorf-les-Bains	26	10	5	11	35	39	39	0	34.89	+0.11
10	Etzella Ettelbruck	26	7	7	12	28	31	44	-13	28.12	-0.12
11	Victoria Rosport	26	7	7	12	28	33	49	-16	28.63	-0.63
12	Hostert	26	7	4	15	25	37	58	-21	25.32	-0.32
13	RM Hamm Benfica	26	5	4	17	19	29	50	-21	23.62	-4.62
14	Rumelange	26	4	4	18	16	34	76	-42	24.48	-8.48

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	UNA Strassen	39	32.40	+6.60
2	Differdange 03	44	38.72	+5.28
3	Union Titus Petange	37	32.31	+4.69
4	Jeunesse Esch	48	43.42	+4.58
5	F91 Dudelange	59	56.80	+2.20

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Progres Niedercorn	44	53.32	-9.32
2	Rumelange	16	24.48	-8.48
3	RM Hamm Benfica	19	23.62	-4.62
4	Racing FC Union Luxembourg	39	41.45	-2.45
5	Victoria Rosport	28	28.63	-0.63

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	UNA Strassen	5	Nov 10 – Mar 1	1 in 60
2	Fola Esch	8	Oct 1 – Feb 24	1 in 58
3	Union Titus Petange	4	Feb 24 – Mar 15	1 in 57
4	Differdange 03	5	Mar 30 – Apr 28	1 in 45
5	Mondorf-les-Bains	4	Apr 14 – May 1	1 in 29

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Rumelange	7	Aug 31 – Nov 10	1 in 95
2	F91 Dudelange	2	Aug 13 – Aug 26	1 in 48
3	Progres Niedercorn	2	Aug 5 – Aug 19	1 in 31
4	Differdange 03	4	Dec 2 – Mar 10	1 in 26
5	RM Hamm Benfica	5	Oct 7 – Nov 25	1 in 22

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	UNA Strassen	10	Nov 10 – Apr 14	1 in 635
2	Etzella Ettelbruck	5	Dec 2 – Mar 17	1 in 40
3	Differdange 03	8	Mar 15 – May 5	1 in 37
4	Victoria Rosport	4	Feb 24 – Mar 17	1 in 25
5	Union Titus Petange	6	Nov 25 – Mar 15	1 in 22

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Rumelange	13	Aug 31 – Mar 15	1 in 126
2	Jeunesse Esch	6	Nov 25 – Mar 15	1 in 56
3	RM Hamm Benfica	9	Sep 30 – Mar 3	1 in 23
4	Etzella Ettelbruck	9	Mar 10 – May 5	1 in 22
5	Progres Niedercorn	4	Mar 30 – Apr 20	1 in 17

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	1524	59	+4	13	12.6	+0.4
Fola Esch	1433	50	+2	10	10.6	-0.6
Jeunesse Esch	1359	48	+10	10	7.3	+2.7
Progres Niedercorn	1421	44	-12	10	9.8	+0.2
Differdange 03	1295	44	+0	8	7.5	+0.5
Racing FC Union Luxembourg	1316	39	+0	6	7.9	-1.9
UNA Strassen	1253	39	-4	6	8.0	-2.0
Union Titus Petange	1249	37	-2	6	7.3	-1.3
Mondorf-les-Bains	1287	35	+8	8	8.9	-0.9
Etzella Ettelbruck	1179	28	+13	6	4.1	+1.9
Victoria Rosport	1181	28	-13	4	4.3	-0.3
Hostert	1170	25	-1	4	3.6	+0.4
RM Hamm Benfica	1154	19	-2	4	3.6	+0.4
Rumelange	1130	16	-4	4	3.4	+0.6

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	HOS	JE	MON	PN	RHB	RFUL	RUM	US	UTP	VR
Differdange 03	—	1-0-1 3.70	1-0-1 1.43	0-0-2 1.92	1-1-0 3.81	1-1-0 2.30	1-1-0 2.84	1-0-1 1.66	1-1-0 3.87	1-1-0 2.64	2-0-0 3.78	0-0-2 3.29	1-0-1 3.20	2-0-0 3.52
Etzella Ettelbruck	1-0-1 1.93	—	0-0-2 0.87	0-1-1 1.25	0-0-2 3.01	0-1-1 1.62	1-0-1 2.02	0-1-1 1.14	0-1-1 2.93	1-1-0 1.79	2-0-0 2.81	0-0-2 2.34	1-1-0 2.26	1-1-0 2.73
F91 Dudelange	1-0-1 4.25	2-0-0 4.89	—	1-1-0 3.50	2-0-0 4.95	1-0-1 3.88	1-0-1 4.36	2-0-0 3.32	2-0-0 4.97	1-1-0 4.16	1-1-0 4.94	1-1-0 4.51	2-0-0 4.53	1-1-0 4.84
Fola Esch	2-0-0 3.70	1-1-0 4.44	0-1-1 2.11	—	2-0-0 4.53	0-0-2 3.42	1-0-1 3.75	1-1-0 2.49	2-0-0 4.58	1-0-1 3.57	2-0-0 4.45	1-1-0 3.97	1-0-1 3.98	1-1-0 4.33
Hostert	0-1-1 1.82	2-0-0 2.59	0-0-2 0.82	0-0-2 1.17	—	0-0-2 1.50	0-2-0 1.89	0-1-1 1.02	2-0-0 2.77	0-0-2 1.78	2-0-0 2.63	1-0-1 2.29	0-0-2 2.28	0-0-2 2.68
Jeunesse Esch	0-1-1 3.30	1-1-0 4.03	1-0-1 1.75	2-0-0 2.19	2-0-0 4.16	—	1-0-1 3.37	0-1-1 2.25	2-0-0 4.21	2-0-0 3.13	1-1-0 4.06	1-0-1 3.63	0-1-1 3.68	1-1-0 4.00
Mondorf-les-Bains	0-1-1 2.76	1-0-1 3.60	1-0-1 1.32	1-0-1 1.88	0-2-0 3.74	1-0-1 2.24	—	1-0-1 1.60	0-1-1 3.81	0-0-2 2.62	2-0-0 3.72	0-1-1 3.11	1-0-1 3.08	2-0-0 3.43
Progres Niedercorn	1-0-1 3.98	1-1-0 4.57	0-0-2 2.29	0-1-1 3.11	1-1-0 4.71	1-1-0 3.35	1-0-1 4.05	—	2-0-0 4.64	1-0-1 3.73	1-0-1 4.60	2-0-0 4.21	2-0-0 4.21	0-1-1 4.53
RM Hamm Benfica	0-1-1 1.76	1-1-0 2.67	0-0-2 0.80	0-0-2 1.14	0-0-2 2.83	0-0-2 1.46	1-1-0 1.82	0-0-2 1.09	—	1-0-1 1.71	1-0-1 2.79	1-0-1 2.18	0-1-1 2.23	0-0-2 2.60
Racing FC Union Luxembourg	0-1-1 2.96	0-1-1 3.85	0-1-1 1.51	1-0-1 2.05	2-0-0 3.86	0-0-2 2.47	2-0-0 2.98	1-0-1 1.89	1-0-1 3.93	—	0-1-1 4.14	2-0-0 3.39	2-0-0 3.37	0-2-0 3.69
Rumelange	0-0-2 1.85	0-0-2 2.78	0-1-1 0.83	0-0-2 1.25	0-0-2 2.97	0-1-1 1.59	0-0-2 1.90	1-0-1 1.12	1-0-1 2.81	1-1-0 1.51	—	0-0-2 2.15	0-1-1 2.12	1-0-1 2.66
UNA Strassen	2-0-0 2.31	2-0-0 3.27	0-1-1 1.19	0-1-1 1.68	1-0-1 3.32	1-0-1 1.98	1-1-0 2.49	0-0-2 1.46	1-0-1 3.43	0-0-2 2.21	2-0-0 3.45	—	1-0-1 2.79	1-0-1 3.27
Union Titus Petange	1-0-1 2.40	0-1-1 3.34	0-0-2 1.18	1-0-1 1.66	2-0-0 3.32	1-1-0 1.94	1-0-1 2.52	0-0-2 1.46	1-1-0 3.37	0-0-2 2.24	1-1-0 3.50	1-0-1 2.81	—	2-0-0 3.14
Victoria Rosport	0-0-2 2.09	0-1-1 2.87	0-1-1 0.91	0-1-1 1.35	2-0-0 2.91	0-1-1 1.65	0-0-2 2.18	1-1-0 1.18	2-0-0 3.00	0-2-0 1.93	1-0-1 2.94	1-0-1 2.33	0-0-2 2.46	—

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	0.68	+8.2
Allowed	0.72	-8.0
Differential	0.91	+5.3

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	2.20%	5.49%	7.14%	4.67%	3.02%	1.37%	23.90%
1	5.49%	10.99%	6.87%	3.57%	2.47%	1.10%	30.49%
2	7.14%	6.87%	4.95%	1.37%	1.10%	0.55%	21.98%
3	4.67%	3.57%	1.37%	1.10%	1.10%	0.55%	12.36%
4	3.02%	2.47%	1.10%	1.10%	—	—	7.69%
5+	1.37%	1.10%	0.55%	0.55%	—	—	3.57%
Total	23.90%	30.49%	21.98%	12.36%	7.69%	3.57%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.63	1.63	+0.00
SD	1.45	1.45	2.28
CV	0.89	0.89	—
Max	9	9	+7
Min	0	0	-7

Games Played: 182

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	3.85%	7.69%	3.85%	7.69%	—	30.77%
1	11.54%	7.69%	—	3.85%	—	3.85%	26.92%
2	19.23%	3.85%	—	—	—	—	23.08%
3	3.85%	3.85%	3.85%	3.85%	—	—	15.38%
4	3.85%	—	—	—	—	—	3.85%
5+	—	—	—	—	—	—	—
Total	46.15%	19.23%	11.54%	11.54%	7.69%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.35	1.27	+0.08
SD	1.20	1.54	2.23
CV	0.89	1.21	—
Max	4	5	+4
Min	0	0	-4

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	1.69	-0.50
SD	1.30	1.52	2.04
CV	1.09	0.90	—
Max	5	6	+3
Min	0	0	-6

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	2.77	1.27	+1.50
SD	1.90	1.12	2.14
CV	0.69	0.88	—
Max	9	4	+7
Min	0	0	-3

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	2.50	1.08	+1.42
SD	1.70	1.20	2.52
CV	0.68	1.11	—
Max	7	5	+7
Min	0	0	-3

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	2.23	-0.81
SD	1.36	1.53	2.25
CV	0.96	0.69	—
Max	4	6	+4
Min	0	0	-5

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.77	1.15	+0.62
SD	1.37	1.22	2.06
CV	0.77	1.06	—
Max	5	5	+4
Min	0	0	-5

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.50	1.50	+0.00
SD	1.50	1.21	2.21
CV	1.00	0.81	—
Max	4	5	+4
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	3.85%	7.69%	—	—	3.85%	15.38%
1	11.54%	15.38%	11.54%	—	3.85%	—	42.31%
2	11.54%	7.69%	—	—	—	—	19.23%
3	3.85%	—	—	3.85%	—	—	7.69%
4	—	—	3.85%	3.85%	—	—	7.69%
5+	3.85%	3.85%	—	—	—	—	7.69%
Total	30.77%	30.77%	23.08%	7.69%	3.85%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	1.35	+0.38
SD	1.46	1.32	2.14
CV	0.84	0.98	—
Max	5	5	+5
Min	0	0	-5

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	1.92	-0.81
SD	1.07	1.29	1.86
CV	0.96	0.67	—
Max	3	5	+3
Min	0	0	-4

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.62	1.19	+0.42
SD	1.53	0.98	2.14
CV	0.94	0.82	—
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%	7.69%	3.85%	3.85%	23.08%
1	3.85%	3.85%	11.54%	11.54%	3.85%	—	34.62%
2	—	7.69%	7.69%	3.85%	7.69%	3.85%	30.77%
3	—	—	3.85%	—	3.85%	3.85%	11.54%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	7.69%	11.54%	26.92%	23.08%	19.23%	11.54%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	2.92	-1.62
SD	0.97	1.98	2.10
CV	0.74	0.68	—
Max	3	9	+1
Min	0	0	-7

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.77	1.65	+0.12
SD	1.45	1.32	2.29
CV	0.82	0.80	—
Max	6	4	+5
Min	0	0	-4

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	1.65	-0.19
SD	1.21	1.62	2.23
CV	0.83	0.98	—
Max	5	6	+4
Min	0	0	-5

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.88	-0.62
SD	1.25	1.28	2.04
CV	0.99	0.68	—
Max	4	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
F91 Dudelange	1524	59	56.80	+2.20	66.0%	39	45	53	57	61	66	66
Fola Esch	1433	50	49.30	+0.70	56.0%	33	38	44	49	54	60	66
Progres Niedercorn	1421	44	53.32	-9.32	9.0%	36	43	50	54	57	62	66
Jeunesse Esch	1359	48	43.42	+4.58	80.0%	29	33	39	43	47	53	61
Racing FC Union Luxembourg	1316	39	41.45	-2.45	37.0%	22	30	36	43	46	52	55
Differdange 03	1295	44	38.72	+5.28	83.0%	24	27	33	39	43	50	58
Mondorf-les-Bains	1287	35	34.89	+0.11	54.0%	13	22	30	35	40	46	59
UNA Strassen	1253	39	32.40	+6.60	86.0%	15	22	28	32	37	43	48
Union Titus Petange	1249	37	32.31	+4.69	77.0%	18	22	27	32	37	43	53
Victoria Rosport	1181	28	28.63	-0.63	48.0%	13	18	24	29	33	39	43
Etzella Ettelbruck	1179	28	28.12	-0.12	55.0%	16	19	25	28	31	37	45
Hostert	1170	25	25.32	-0.32	55.0%	13	14	21	25	29	37	44
RM Hamm Benfica	1154	19	23.62	-4.62	29.0%	8	14	19	24	28	33	36
Rumelange	1130	16	24.48	-8.48	10.0%	9	15	20	24	29	35	44

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

+11.54%

Clear Edge

46.15%19.23%34.62%

Elo Value

Home Edge: 40.27 Elo pts.

168 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.23 goals

Neutral

-2+0.24+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

2.4

Top-Heavy

123410

Champion Preseason Odds

60%

F91 Dudelange, 1st of 14

LongshotFavorite

Title Margin

Expected

0.35/gm

Runaway

00.210.5/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 5.16 * Some Luck: 5.16 to 7.74 * Lucky: 7.74 to 10.32 * Wild Swing: 10.32 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 2.03 * Off: 2.03 to 2.71 * Way Off: 2.71 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

4.68 points

As Expected

06.4516

Average Finish Error

Expected

1.00

Pinpoint

01.694

Biggest Overachiever

Expected 96.43%

86.00%

UNA Strassen

50100

Biggest Underachiever

Expected 3.57%

9.00%

Progres Niedercorn

050

Season Outliers

Expected

0 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

0.18

Even

00.170.5

Noll-Scully

Elo SD: 118.69

1.76

Moderate Separation

11.651.852.052.5

Interquartile Edge

73%

Clear Edge

50%68%78%100%

Best vs. Worst

Baseline

91%

Clear Edge

50%92%100%

Close Games

Expected

49%

Few

0%49%100%

Blowouts

Expected

26%

Frequent

0%27%100%

Predictability

How these are measured

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

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.35 * 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

0.57

Predictable

00.562

Matchup Imbalance

0.38

Slight Separation

00.350.5

Strangeness

Expected

0.57

Very Predictable

01.002

Repeatability

0.91

Near-Lock

00.430.621

Upset Rate

Expected

25%

Upset-Prone

0%25%50%

Clear Favorite Upset Rate

Expected

19%

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 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.86

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.11

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.038

Well Within Noise

00.1270.3

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
F91 Dudelange	60.00%	18.00%	13.00%	6.00%	2.00%	—	1.00%	—	—	—	—	—	—	—
Fola Esch	15.00%	22.00%	29.00%	17.00%	6.00%	6.00%	3.00%	—	2.00%	—	—	—	—	—
Jeunesse Esch	3.00%	8.00%	15.00%	18.00%	30.00%	12.00%	8.00%	3.00%	2.00%	1.00%	—	—	—	—
Progres Niedercorn	20.00%	43.00%	19.00%	8.00%	6.00%	3.00%	1.00%	—	—	—	—	—	—	—
Differdange 03	1.00%	1.00%	4.00%	15.00%	17.00%	22.00%	8.00%	11.00%	14.00%	2.00%	4.00%	—	1.00%	—
Racing FC Union Luxembourg	—	7.00%	13.00%	21.00%	15.00%	15.00%	14.00%	6.00%	3.00%	5.00%	—	—	1.00%	—
UNA Strassen	—	—	1.00%	5.00%	6.00%	5.00%	18.00%	15.00%	14.00%	10.00%	9.00%	9.00%	5.00%	3.00%
Union Titus Petange	—	1.00%	—	5.00%	6.00%	11.00%	8.00%	13.00%	14.00%	12.00%	15.00%	6.00%	8.00%	1.00%
Mondorf-les-Bains	1.00%	—	6.00%	4.00%	6.00%	13.00%	18.00%	16.00%	9.00%	11.00%	5.00%	5.00%	1.00%	5.00%
Etzella Ettelbruck	—	—	—	1.00%	2.00%	1.00%	3.00%	15.00%	8.00%	18.00%	17.00%	13.00%	11.00%	11.00%
Victoria Rosport	—	—	—	—	—	6.00%	12.00%	14.00%	8.00%	12.00%	14.00%	21.00%	6.00%	7.00%
Hostert	—	—	—	—	2.00%	4.00%	2.00%	4.00%	12.00%	7.00%	11.00%	11.00%	28.00%	19.00%
RM Hamm Benfica	—	—	—	—	—	1.00%	2.00%	1.00%	7.00%	12.00%	13.00%	20.00%	15.00%	29.00%
Rumelange	—	—	—	—	2.00%	1.00%	2.00%	2.00%	7.00%	10.00%	12.00%	15.00%	24.00%	25.00%

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
F91 Dudelange	100%	—	—
Fola Esch	100%	—	—
Jeunesse Esch	100%	—	—
Progres Niedercorn	100%	—	—
Differdange 03	99.00%	—	1.00%
Racing FC Union Luxembourg	99.00%	—	1.00%
Mondorf-les-Bains	89.00%	5.00%	6.00%
UNA Strassen	83.00%	9.00%	8.00%
Union Titus Petange	85.00%	6.00%	9.00%
Victoria Rosport	66.00%	21.00%	13.00%
Etzella Ettelbruck	65.00%	13.00%	22.00%
RM Hamm Benfica	36.00%	20.00%	44.00%
Hostert	42.00%	11.00%	47.00%
Rumelange	36.00%	15.00%	49.00%

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
2018-08-05	Fola Esch	W 3-1	47.2	1331	1395	36.46%	20.33%	43.21%	-0.14	+6.4	3
2018-08-05	@ Jeunesse Esch	L 1-3	47.2	1395	1331	43.21%	20.33%	36.46%	+0.14	-6.4	0
2018-08-05	Mondorf-les-Bains	W 2-0	37.4	1286	1284	45.84%	20.20%	33.96%	+0.25	+6.0	3
2018-08-05	@ Differdange 03	L 0-2	37.4	1284	1286	33.96%	20.20%	45.84%	-0.25	-6.0	0
2018-08-05	Progres Niedercorn	W 2-1	54.3	1196	1444	17.44%	16.29%	66.27%	-1.23	+5.3	3
2018-08-05	@ Rumelange	L 1-2	54.3	1444	1196	66.27%	16.29%	17.44%	+1.23	-5.3	0
2018-08-05	Racing FC Union Luxembourg	D 1-1	54.3	1181	1294	30.25%	19.83%	49.92%	-0.43	+0.4	1
2018-08-05	@ Etzella Ettelbruck	D 1-1	54.3	1294	1181	49.92%	19.83%	30.25%	+0.43	-0.4	1
2018-08-05	UNA Strassen	L 1-6	38.9	1191	1234	39.41%	20.39%	40.20%	-0.02	-13.2	0
2018-08-05	@ Hostert	W 6-1	38.9	1234	1191	40.20%	20.39%	39.41%	+0.02	+13.2	3
2018-08-05	Union Titus Petange	L 0-1	42.2	1207	1236	41.52%	20.38%	38.10%	+0.07	-3.8	0
2018-08-05	@ Victoria Rosport	W 1-0	42.2	1236	1207	38.10%	20.38%	41.52%	-0.07	+3.8	3
2018-08-06	F91 Dudelange	L 1-3	35.0	1168	1502	12.10%	13.20%	74.70%	-1.75	-1.9	0
2018-08-06	@ RM Hamm Benfica	W 3-1	35.0	1502	1168	74.70%	13.20%	12.10%	+1.75	+1.8	3
2018-08-11	Hostert	W 2-1	42.3	1239	1178	53.77%	19.30%	26.93%	+0.60	+2.5	6
2018-08-11	@ Union Titus Petange	L 1-2	42.3	1178	1239	26.93%	19.30%	53.77%	-0.60	-2.5	0
2018-08-12	RM Hamm Benfica	L 0-3	41.0	1248	1167	56.28%	18.85%	24.87%	+0.72	-13.3	3
2018-08-12	@ UNA Strassen	W 3-0	41.0	1167	1248	24.87%	18.85%	56.28%	-0.72	+13.3	3
2018-08-12	Fola Esch	W 2-0	42.8	1278	1389	30.51%	19.86%	49.62%	-0.42	+8.2	3
2018-08-12	@ Mondorf-les-Bains	L 0-2	42.8	1389	1278	49.62%	19.86%	30.51%	+0.42	-8.2	0
2018-08-12	Rumelange	W 3-1	37.6	1337	1202	62.77%	17.33%	19.90%	+1.04	+3.2	6
2018-08-12	@ Jeunesse Esch	L 1-3	37.6	1202	1337	19.90%	17.33%	62.77%	-1.04	-3.2	3
2018-08-12	Victoria Rosport	D 2-2	60.2	1293	1204	57.40%	18.63%	23.97%	+0.77	-0.5	2
2018-08-12	@ Racing FC Union Luxembourg	D 2-2	60.2	1204	1293	23.97%	18.63%	57.40%	-0.77	+0.5	1
2018-08-13	Differdange 03	L 0-2	49.6	1504	1293	70.82%	14.72%	14.46%	+1.50	-11.1	3
2018-08-13	@ F91 Dudelange	W 2-0	49.6	1293	1504	14.46%	14.72%	70.82%	-1.50	+11.1	6
2018-08-17	Racing FC Union Luxembourg	L 0-4	32.5	1176	1293	29.69%	19.75%	50.55%	-0.46	-10.2	0
2018-08-17	@ Hostert	W 4-0	32.5	1293	1176	50.55%	19.75%	29.69%	+0.46	+10.2	5
2018-08-19	Jeunesse Esch	L 0-2	39.0	1286	1340	37.87%	20.38%	41.75%	-0.08	-6.6	3
2018-08-19	@ Mondorf-les-Bains	W 2-0	39.0	1340	1286	41.75%	20.38%	37.87%	+0.08	+6.6	9
2018-08-19	Progres Niedercorn	W 2-1	54.0	1204	1439	18.39%	16.72%	64.89%	-1.16	+5.2	4
2018-08-19	@ Victoria Rosport	L 1-2	54.0	1439	1204	64.89%	16.72%	18.39%	+1.16	-5.2	0
2018-08-19	Rumelange	W 2-1	45.5	1182	1199	43.15%	20.34%	36.52%	+0.14	+3.2	4
2018-08-19	@ Etzella Ettelbruck	L 1-2	45.5	1199	1182	36.52%	20.34%	43.15%	-0.14	-3.2	3
2018-08-19	UNA Strassen	L 1-3	48.7	1304	1234	54.83%	19.12%	26.05%	+0.65	-7.8	6
2018-08-19	@ Differdange 03	W 3-1	48.7	1234	1304	26.05%	19.12%	54.83%	-0.65	+7.8	6
2018-08-19	Union Titus Petange	D 2-2	59.5	1180	1242	36.77%	20.34%	42.89%	-0.13	+0.1	4
2018-08-19	@ RM Hamm Benfica	D 2-2	59.5	1242	1180	42.89%	20.34%	36.77%	+0.13	-0.1	7
2018-08-22	Etzella Ettelbruck	W 4-3	45.6	1434	1185	74.29%	13.36%	12.34%	+1.72	+1.0	3
2018-08-22	@ Progres Niedercorn	L 3-4	45.6	1185	1434	12.34%	13.36%	74.29%	-1.72	-1.0	4
2018-08-26	Differdange 03	L 0-1	41.4	1242	1296	37.83%	20.37%	41.80%	-0.08	-3.5	7
2018-08-26	@ Union Titus Petange	W 1-0	41.4	1296	1242	41.80%	20.37%	37.83%	+0.08	+3.5	9
2018-08-26	Etzella Ettelbruck	W 1-0	34.1	1347	1184	65.83%	16.43%	17.74%	+1.21	+1.7	12
2018-08-26	@ Jeunesse Esch	L 0-1	34.1	1184	1347	17.74%	16.43%	65.83%	-1.21	-1.7	4
2018-08-26	RM Hamm Benfica	W 1-0	35.3	1303	1180	61.36%	17.71%	20.93%	+0.97	+2.1	8
2018-08-26	@ Racing FC Union Luxembourg	L 0-1	35.3	1180	1303	20.93%	17.71%	61.36%	-0.97	-2.0	4
2018-08-26	Fola Esch	L 0-2	35.5	1242	1380	27.30%	19.37%	53.33%	-0.58	-5.0	6
2018-08-26	@ UNA Strassen	W 2-0	35.5	1380	1242	53.33%	19.37%	27.30%	+0.58	+5.0	3
2018-08-26	Hostert	D 1-1	57.0	1435	1165	76.09%	12.62%	11.29%	+1.84	-1.3	4
2018-08-26	@ Progres Niedercorn	D 1-1	57.0	1165	1435	11.29%	12.62%	76.09%	-1.84	+1.3	1
2018-08-26	Mondorf-les-Bains	L 1-4	52.3	1493	1280	70.97%	14.66%	14.37%	+1.51	-13.7	3
2018-08-26	@ F91 Dudelange	W 4-1	52.3	1280	1493	14.37%	14.66%	70.97%	-1.51	+13.7	6
2018-08-26	Victoria Rosport	W 3-2	50.6	1195	1209	43.58%	20.32%	36.10%	+0.16	+3.0	6
2018-08-26	@ Rumelange	L 2-3	50.6	1209	1195	36.10%	20.32%	43.58%	-0.16	-3.0	4
2018-08-31	Progres Niedercorn	L 1-2	39.1	1178	1433	16.88%	16.02%	67.09%	-1.28	-1.5	4
2018-08-31	@ RM Hamm Benfica	W 2-1	39.1	1433	1178	67.09%	16.02%	16.88%	+1.28	+1.5	7
2018-08-31	Racing FC Union Luxembourg	W 1-0	40.9	1299	1305	44.71%	20.26%	35.02%	+0.20	+3.3	12
2018-08-31	@ Differdange 03	L 0-1	40.9	1305	1299	35.02%	20.26%	44.71%	-0.20	-3.3	8
2018-08-31	Rumelange	W 4-2	48.1	1167	1198	41.05%	20.39%	38.56%	+0.05	+5.2	4
2018-08-31	@ Hostert	L 2-4	48.1	1198	1167	38.56%	20.39%	41.05%	-0.05	-5.2	6
2018-08-31	UNA Strassen	D 2-2	60.1	1294	1237	53.16%	19.39%	27.44%	+0.58	-0.4	7
2018-08-31	@ Mondorf-les-Bains	D 2-2	60.1	1237	1294	27.44%	19.39%	53.16%	-0.58	+0.4	7
2018-09-01	Etzella Ettelbruck	L 0-3	39.1	1206	1182	48.84%	19.95%	31.22%	+0.38	-11.8	4
2018-09-01	@ Victoria Rosport	W 3-0	39.1	1182	1206	31.22%	19.95%	48.84%	-0.38	+11.8	7
2018-09-02	Union Titus Petange	W 3-0	30.1	1385	1238	64.09%	16.96%	18.96%	+1.11	+5.1	6
2018-09-02	@ Fola Esch	L 0-3	30.1	1238	1385	18.96%	16.96%	64.09%	-1.11	-5.1	7
2018-09-15	Differdange 03	W 2-0	34.1	1435	1303	62.42%	17.43%	20.15%	+1.03	+3.7	10
2018-09-15	@ Progres Niedercorn	L 0-2	34.1	1303	1435	20.15%	17.43%	62.42%	-1.03	-3.7	12
2018-09-16	F91 Dudelange	L 0-2	32.8	1237	1479	17.85%	16.48%	65.67%	-1.20	-3.3	7
2018-09-16	@ UNA Strassen	W 2-0	32.8	1479	1237	65.67%	16.48%	17.85%	+1.20	+3.3	6
2018-09-16	RM Hamm Benfica	L 1-3	46.4	1193	1176	47.85%	20.04%	32.11%	+0.34	-6.9	6
2018-09-16	@ Rumelange	W 3-1	46.4	1176	1193	32.11%	20.04%	47.85%	-0.34	+6.9	7
2018-09-16	Fola Esch	W 2-1	50.1	1302	1390	33.23%	20.14%	46.63%	-0.29	+3.9	11
2018-09-16	@ Racing FC Union Luxembourg	L 1-2	50.1	1390	1302	46.63%	20.14%	33.23%	+0.29	-3.9	6
2018-09-16	Hostert	L 0-1	44.1	1194	1172	48.56%	19.97%	31.47%	+0.37	-4.3	7
2018-09-16	@ Etzella Ettelbruck	W 1-0	44.1	1172	1194	31.47%	19.97%	48.56%	-0.37	+4.3	7
2018-09-16	Mondorf-les-Bains	W 1-0	42.8	1233	1293	37.02%	20.35%	42.62%	-0.12	+3.8	10
2018-09-16	@ Union Titus Petange	L 0-1	42.8	1293	1233	42.62%	20.35%	37.02%	+0.12	-3.8	7
2018-09-16	Victoria Rosport	D 1-1	55.5	1349	1194	64.88%	16.72%	18.40%	+1.16	-1.0	13
2018-09-16	@ Jeunesse Esch	D 1-1	55.5	1194	1349	18.40%	16.72%	64.88%	-1.16	+0.9	5
2018-09-26	F91 Dudelange	L 1-2	49.4	1386	1483	32.24%	20.05%	47.71%	-0.33	-2.9	6
2018-09-26	@ Fola Esch	W 2-1	49.4	1483	1386	47.71%	20.05%	32.24%	+0.33	+2.9	9
2018-09-30	Etzella Ettelbruck	D 1-1	53.9	1183	1190	44.64%	20.27%	35.09%	+0.20	-0.2	8
2018-09-30	@ RM Hamm Benfica	D 1-1	53.9	1190	1183	35.09%	20.27%	44.64%	-0.20	+0.2	8
2018-09-30	Jeunesse Esch	L 0-4	33.1	1234	1348	30.12%	19.81%	50.06%	-0.44	-10.3	7
2018-09-30	@ UNA Strassen	W 4-0	33.1	1348	1234	50.06%	19.81%	30.12%	+0.44	+10.3	16
2018-09-30	Racing FC Union Luxembourg	L 0-3	38.2	1289	1306	43.20%	20.33%	36.47%	+0.14	-10.7	7
2018-09-30	@ Mondorf-les-Bains	W 3-0	38.2	1306	1289	36.47%	20.33%	43.20%	-0.14	+10.7	14
2018-09-30	Rumelange	W 3-2	45.9	1299	1186	60.14%	18.01%	21.85%	+0.91	+1.9	15
2018-09-30	@ Differdange 03	L 2-3	45.9	1186	1299	21.85%	18.01%	60.14%	-0.91	-1.9	6
2018-09-30	Union Titus Petange	W 6-1	30.6	1486	1237	74.27%	13.37%	12.35%	+1.72	+4.2	12
2018-09-30	@ F91 Dudelange	L 1-6	30.6	1237	1486	12.35%	13.37%	74.27%	-1.72	-4.2	10
2018-09-30	Victoria Rosport	L 0-3	37.4	1176	1195	42.84%	20.35%	36.81%	+0.13	-10.6	7
2018-09-30	@ Hostert	W 3-0	37.4	1195	1176	36.81%	20.35%	42.84%	-0.13	+10.6	8
2018-10-01	Progres Niedercorn	W 2-1	51.1	1384	1439	37.70%	20.37%	41.93%	-0.09	+3.6	9
2018-10-01	@ Fola Esch	L 1-2	51.1	1439	1384	41.93%	20.37%	37.70%	+0.09	-3.6	10
2018-10-06	Differdange 03	W 1-0	44.6	1190	1301	30.44%	19.85%	49.71%	-0.42	+4.4	11
2018-10-06	@ Etzella Ettelbruck	L 0-1	44.6	1301	1190	49.71%	19.85%	30.44%	+0.42	-4.4	15
2018-10-06	Mondorf-les-Bains	W 2-1	40.8	1435	1279	65.12%	16.65%	18.23%	+1.17	+1.7	13
2018-10-06	@ Progres Niedercorn	L 1-2	40.8	1279	1435	18.23%	16.65%	65.12%	-1.17	-1.7	7
2018-10-06	UNA Strassen	W 3-1	42.2	1233	1224	46.77%	20.13%	33.10%	+0.29	+5.1	13
2018-10-06	@ Union Titus Petange	L 1-3	42.2	1224	1233	33.10%	20.13%	46.77%	-0.29	-5.1	7
2018-10-07	F91 Dudelange	D 1-1	58.1	1316	1490	23.69%	18.55%	57.76%	-0.79	+0.7	15
2018-10-07	@ Racing FC Union Luxembourg	D 1-1	58.1	1490	1316	57.76%	18.55%	23.69%	+0.79	-0.7	13
2018-10-07	RM Hamm Benfica	W 3-1	41.5	1206	1183	48.67%	19.96%	31.37%	+0.37	+4.9	11
2018-10-07	@ Victoria Rosport	L 1-3	41.5	1183	1206	31.37%	19.96%	48.67%	-0.37	-4.9	8
2018-10-07	Fola Esch	L 0-3	30.6	1184	1387	21.00%	17.73%	61.26%	-0.97	-5.6	6
2018-10-07	@ Rumelange	W 3-0	30.6	1387	1184	61.26%	17.73%	21.00%	+0.97	+5.6	12
2018-10-07	Hostert	W 3-0	28.1	1358	1166	68.89%	15.41%	15.70%	+1.38	+4.1	19
2018-10-07	@ Jeunesse Esch	L 0-3	28.1	1166	1358	15.70%	15.41%	68.89%	-1.38	-4.2	7
2018-10-20	Progres Niedercorn	W 4-1	45.0	1489	1437	52.63%	19.47%	27.90%	+0.55	+6.2	16
2018-10-20	@ F91 Dudelange	L 1-4	45.0	1437	1489	27.90%	19.47%	52.63%	-0.55	-6.2	13
2018-10-21	Etzella Ettelbruck	W 6-0	28.0	1393	1194	69.51%	15.19%	15.29%	+1.42	+7.7	15
2018-10-21	@ Fola Esch	L 0-6	28.0	1194	1393	15.29%	15.19%	69.51%	-1.42	-7.7	11
2018-10-21	Hostert	L 1-2	48.7	1178	1162	47.84%	20.04%	32.12%	+0.34	-4.0	8
2018-10-21	@ RM Hamm Benfica	W 2-1	48.7	1162	1178	32.12%	20.04%	47.84%	-0.34	+4.0	10
2018-10-21	Jeunesse Esch	W 3-2	55.8	1238	1362	28.87%	19.63%	51.49%	-0.50	+4.0	16
2018-10-21	@ Union Titus Petange	L 2-3	55.8	1362	1238	51.49%	19.63%	28.87%	+0.50	-4.0	19
2018-10-21	Racing FC Union Luxembourg	L 1-2	44.4	1219	1317	31.97%	20.03%	48.01%	-0.35	-2.9	7
2018-10-21	@ UNA Strassen	W 2-1	44.4	1317	1219	48.01%	20.03%	31.97%	+0.35	+2.9	18
2018-10-21	Rumelange	W 4-3	49.6	1277	1179	58.41%	18.41%	23.18%	+0.82	+2.0	10
2018-10-21	@ Mondorf-les-Bains	L 3-4	49.6	1179	1277	23.18%	18.41%	58.41%	-0.82	-2.0	6
2018-10-21	Victoria Rosport	W 3-0	31.6	1296	1211	56.87%	18.74%	24.39%	+0.75	+6.5	18
2018-10-21	@ Differdange 03	L 0-3	31.6	1211	1296	24.39%	18.74%	56.87%	-0.75	-6.5	11
2018-10-31	Jeunesse Esch	L 1-3	54.9	1495	1358	62.98%	17.27%	19.74%	+1.06	-8.8	16
2018-10-31	@ F91 Dudelange	W 3-1	54.9	1358	1495	19.74%	17.27%	62.98%	-1.06	+8.8	22
2018-11-03	UNA Strassen	W 2-0	30.4	1431	1216	71.11%	14.61%	14.28%	+1.52	+2.6	16
2018-11-03	@ Progres Niedercorn	L 0-2	30.4	1216	1431	14.28%	14.61%	71.11%	-1.52	-2.6	7
2018-11-04	Differdange 03	D 1-1	54.4	1166	1303	27.40%	19.39%	53.22%	-0.58	+0.5	11
2018-11-04	@ Hostert	D 1-1	54.4	1303	1166	53.22%	19.39%	27.40%	+0.58	-0.5	19
2018-11-04	F91 Dudelange	L 2-9	30.2	1177	1487	13.42%	14.08%	72.50%	-1.60	-5.2	6
2018-11-04	@ Rumelange	W 9-2	30.2	1487	1177	72.50%	14.08%	13.42%	+1.60	+5.2	19
2018-11-04	RM Hamm Benfica	W 4-0	27.2	1367	1174	68.92%	15.40%	15.68%	+1.38	+5.4	25
2018-11-04	@ Jeunesse Esch	L 0-4	27.2	1174	1367	15.68%	15.40%	68.92%	-1.38	-5.4	8
2018-11-04	Fola Esch	L 1-4	36.3	1204	1400	21.58%	17.93%	60.49%	-0.93	-4.9	11
2018-11-04	@ Victoria Rosport	W 4-1	36.3	1400	1204	60.49%	17.93%	21.58%	+0.93	+4.9	18
2018-11-04	Mondorf-les-Bains	W 2-0	40.9	1187	1279	32.73%	20.10%	47.17%	-0.31	+7.9	14
2018-11-04	@ Etzella Ettelbruck	L 0-2	40.9	1279	1187	47.17%	20.10%	32.73%	+0.31	-7.9	10
2018-11-04	Union Titus Petange	W 4-1	37.4	1320	1242	55.93%	18.92%	25.15%	+0.70	+5.7	21
2018-11-04	@ Racing FC Union Luxembourg	L 1-4	37.4	1242	1320	25.15%	18.92%	55.93%	-0.70	-5.7	16
2018-11-10	RM Hamm Benfica	W 4-0	28.9	1302	1169	62.57%	17.39%	20.04%	+1.03	+7.0	22
2018-11-10	@ Differdange 03	L 0-4	28.9	1169	1302	20.04%	17.39%	62.57%	-1.03	-7.0	8
2018-11-10	Hostert	W 4-1	32.2	1405	1166	73.42%	13.71%	12.86%	+1.66	+2.8	21
2018-11-10	@ Fola Esch	L 1-4	32.2	1166	1405	12.86%	13.71%	73.42%	-1.66	-2.8	11
2018-11-10	Jeunesse Esch	L 0-1	43.0	1326	1372	38.89%	20.39%	40.72%	-0.04	-3.6	21
2018-11-10	@ Racing FC Union Luxembourg	W 1-0	43.0	1372	1326	40.72%	20.39%	38.89%	+0.04	+3.6	28
2018-11-10	Progres Niedercorn	L 1-5	35.1	1236	1433	21.52%	17.91%	60.58%	-0.93	-6.3	16
2018-11-10	@ Union Titus Petange	W 5-1	35.1	1433	1236	60.58%	17.91%	21.52%	+0.93	+6.3	19
2018-11-10	Rumelange	W 4-1	38.3	1213	1172	51.22%	19.67%	29.11%	+0.49	+6.5	10
2018-11-10	@ UNA Strassen	L 1-4	38.3	1172	1213	29.11%	19.67%	51.22%	-0.49	-6.5	6
2018-11-11	Etzella Ettelbruck	W 4-2	38.5	1492	1194	78.41%	11.61%	9.98%	+2.01	+1.3	22
2018-11-11	@ F91 Dudelange	L 2-4	38.5	1194	1492	9.98%	11.61%	78.41%	-2.01	-1.3	14
2018-11-11	Victoria Rosport	W 4-0	31.1	1271	1199	55.11%	19.07%	25.82%	+0.67	+9.0	13
2018-11-11	@ Mondorf-les-Bains	L 0-4	31.1	1199	1271	25.82%	19.07%	55.11%	-0.67	-9.0	11
2018-11-25	Differdange 03	D 0-0	52.0	1376	1309	54.44%	19.19%	26.37%	+0.63	-0.6	29
2018-11-25	@ Jeunesse Esch	D 0-0	52.0	1309	1376	26.37%	19.19%	54.44%	-0.63	+0.6	23
2018-11-25	F91 Dudelange	D 2-2	62.7	1190	1493	13.83%	14.34%	71.83%	-1.56	+0.9	12
2018-11-25	@ Victoria Rosport	D 2-2	62.7	1493	1190	71.83%	14.34%	13.83%	+1.56	-0.9	23
2018-11-25	Fola Esch	L 1-2	39.1	1162	1408	17.54%	16.34%	66.12%	-1.22	-1.6	8
2018-11-25	@ RM Hamm Benfica	W 2-1	39.1	1408	1162	66.12%	16.34%	17.54%	+1.22	+1.6	24
2018-11-25	Mondorf-les-Bains	D 1-1	54.2	1163	1280	29.75%	19.76%	50.48%	-0.45	+0.4	12
2018-11-25	@ Hostert	D 1-1	54.2	1280	1163	50.48%	19.76%	29.75%	+0.45	-0.4	14
2018-11-25	Racing FC Union Luxembourg	W 2-0	35.1	1439	1322	60.69%	17.88%	21.43%	+0.94	+3.9	22
2018-11-25	@ Progres Niedercorn	L 0-2	35.1	1322	1439	21.43%	17.88%	60.69%	-0.94	-3.9	21
2018-11-25	UNA Strassen	L 0-2	39.3	1193	1220	41.76%	20.38%	37.86%	+0.08	-7.1	14
2018-11-25	@ Etzella Ettelbruck	W 2-0	39.3	1220	1193	37.86%	20.38%	41.76%	-0.08	+7.1	13
2018-11-25	Union Titus Petange	D 0-0	50.1	1165	1230	36.35%	20.33%	43.32%	-0.15	+0.2	7
2018-11-25	@ Rumelange	D 0-0	50.1	1230	1165	43.32%	20.33%	36.35%	+0.15	-0.2	17
2018-12-02	Differdange 03	W 3-0	32.8	1410	1310	58.58%	18.38%	23.04%	+0.83	+6.2	27
2018-12-02	@ Fola Esch	L 0-3	32.8	1310	1410	23.04%	18.38%	58.58%	-0.83	-6.2	23
2018-12-02	Etzella Ettelbruck	D 1-1	54.2	1230	1186	51.51%	19.63%	28.86%	+0.50	-0.5	18
2018-12-02	@ Union Titus Petange	D 1-1	54.2	1186	1230	28.86%	19.63%	51.51%	-0.50	+0.5	15
2018-12-02	RM Hamm Benfica	D 2-2	60.3	1280	1160	60.92%	17.82%	21.26%	+0.95	-0.6	15
2018-12-02	@ Mondorf-les-Bains	D 2-2	60.3	1160	1280	21.26%	17.82%	60.92%	-0.95	+0.6	9
2018-12-02	Hostert	W 4-1	30.7	1492	1164	80.80%	10.52%	8.68%	+2.19	+1.8	26
2018-12-02	@ F91 Dudelange	L 1-4	30.7	1164	1492	8.68%	10.52%	80.80%	-2.19	-1.8	12
2018-12-02	Jeunesse Esch	W 5-0	35.1	1443	1375	54.66%	19.15%	26.19%	+0.64	+11.2	25
2018-12-02	@ Progres Niedercorn	L 0-5	35.1	1375	1443	26.19%	19.15%	54.66%	-0.64	-11.2	29
2018-12-02	Rumelange	D 2-2	60.7	1318	1165	64.73%	16.77%	18.50%	+1.15	-0.7	22
2018-12-02	@ Racing FC Union Luxembourg	D 2-2	60.7	1165	1318	18.50%	16.77%	64.73%	-1.15	+0.7	8
2018-12-02	Victoria Rosport	W 4-0	32.4	1227	1191	50.39%	19.77%	29.83%	+0.45	+10.2	16
2018-12-02	@ UNA Strassen	L 0-4	32.4	1191	1227	29.83%	19.77%	50.39%	-0.45	-10.2	12
2019-02-23	Jeunesse Esch	D 1-1	55.1	1166	1364	21.41%	17.87%	60.72%	-0.94	+0.8	9
2019-02-23	@ Rumelange	D 1-1	55.1	1364	1166	60.72%	17.87%	21.41%	+0.94	-0.8	30
2019-02-24	F91 Dudelange	L 0-4	33.0	1304	1494	22.12%	18.10%	59.78%	-0.89	-7.7	23
2019-02-24	@ Differdange 03	W 4-0	33.0	1494	1304	59.78%	18.10%	22.12%	+0.89	+7.7	29
2019-02-24	Mondorf-les-Bains	W 5-0	30.4	1416	1279	62.95%	17.28%	19.77%	+1.05	+8.5	30
2019-02-24	@ Fola Esch	L 0-5	30.4	1279	1416	19.77%	17.28%	62.95%	-1.05	-8.5	15
2019-02-24	Progres Niedercorn	D 1-1	56.4	1186	1455	16.01%	15.58%	68.41%	-1.35	+1.1	16
2019-02-24	@ Etzella Ettelbruck	D 1-1	56.4	1455	1186	68.41%	15.58%	16.01%	+1.35	-1.1	26
2019-02-24	Racing FC Union Luxembourg	D 1-1	54.5	1181	1317	27.52%	19.41%	53.07%	-0.57	+0.5	13
2019-02-24	@ Victoria Rosport	D 1-1	54.5	1317	1181	53.07%	19.41%	27.52%	+0.57	-0.5	23
2019-02-24	UNA Strassen	L 1-3	42.6	1161	1237	34.83%	20.25%	44.92%	-0.21	-5.3	9
2019-02-24	@ RM Hamm Benfica	W 3-1	42.6	1237	1161	44.92%	20.25%	34.83%	+0.21	+5.3	19
2019-02-24	Union Titus Petange	L 0-3	35.3	1162	1229	36.00%	20.31%	43.69%	-0.16	-9.2	12
2019-02-24	@ Hostert	W 3-0	35.3	1229	1162	43.69%	20.31%	36.00%	+0.16	+9.2	21
2019-03-01	Differdange 03	W 2-0	39.7	1242	1296	37.88%	20.38%	41.74%	-0.08	+7.1	22
2019-03-01	@ UNA Strassen	L 0-2	39.7	1296	1242	41.74%	20.38%	37.88%	+0.08	-7.1	23
2019-03-01	Victoria Rosport	D 3-3	67.2	1453	1182	76.31%	12.53%	11.17%	+1.86	-0.8	27
2019-03-01	@ Progres Niedercorn	D 3-3	67.2	1182	1453	11.17%	12.53%	76.31%	-1.86	+0.8	14
2019-03-03	Etzella Ettelbruck	L 3-5	51.5	1167	1187	42.60%	20.35%	37.05%	+0.12	-5.3	9
2019-03-03	@ Rumelange	W 5-3	51.5	1187	1167	37.05%	20.35%	42.60%	-0.12	+5.3	19
2019-03-03	RM Hamm Benfica	W 3-0	31.5	1239	1156	56.54%	18.80%	24.65%	+0.73	+6.6	24
2019-03-03	@ Union Titus Petange	L 0-3	31.5	1156	1239	24.65%	18.80%	56.54%	-0.73	-6.6	9
2019-03-03	Fola Esch	D 1-1	61.5	1502	1424	55.84%	18.94%	25.22%	+0.70	-0.6	30
2019-03-03	@ F91 Dudelange	D 1-1	61.5	1424	1502	25.22%	18.94%	55.84%	-0.70	+0.6	31
2019-03-03	Hostert	W 2-0	31.0	1317	1153	65.96%	16.39%	17.65%	+1.22	+3.2	26
2019-03-03	@ Racing FC Union Luxembourg	L 0-2	31.0	1153	1317	17.65%	16.39%	65.96%	-1.22	-3.2	12
2019-03-03	Mondorf-les-Bains	L 1-2	52.3	1363	1270	57.75%	18.56%	23.70%	+0.79	-4.7	30
2019-03-03	@ Jeunesse Esch	W 2-1	52.3	1270	1363	23.70%	18.56%	57.75%	-0.79	+4.7	18
2019-03-10	F91 Dudelange	L 1-2	42.2	1275	1501	19.08%	17.01%	63.91%	-1.10	-1.8	18
2019-03-10	@ Mondorf-les-Bains	W 2-1	42.2	1501	1275	63.91%	17.01%	19.08%	+1.10	+1.8	33
2019-03-10	Jeunesse Esch	D 1-1	54.9	1193	1359	24.44%	18.75%	56.81%	-0.75	+0.7	20
2019-03-10	@ Etzella Ettelbruck	D 1-1	54.9	1359	1193	56.81%	18.75%	24.44%	+0.75	-0.7	31
2019-03-10	Progres Niedercorn	L 0-1	32.7	1149	1453	13.81%	14.32%	71.87%	-1.56	-1.3	12
2019-03-10	@ Hostert	W 1-0	32.7	1453	1149	71.87%	14.32%	13.81%	+1.56	+1.3	30
2019-03-10	Racing FC Union Luxembourg	W 2-0	43.6	1149	1320	23.90%	18.61%	57.49%	-0.78	+9.3	12
2019-03-10	@ RM Hamm Benfica	L 0-2	43.6	1320	1149	57.49%	18.61%	23.90%	+0.78	-9.3	26
2019-03-10	Rumelange	W 4-2	45.9	1182	1161	48.43%	19.99%	31.58%	+0.36	+4.4	17
2019-03-10	@ Victoria Rosport	L 2-4	45.9	1161	1182	31.58%	19.99%	48.43%	-0.36	-4.4	9
2019-03-10	UNA Strassen	D 1-1	56.7	1425	1250	67.15%	16.00%	16.84%	+1.28	-1.0	32
2019-03-10	@ Fola Esch	D 1-1	56.7	1250	1425	16.84%	16.00%	67.15%	-1.28	+1.0	23
2019-03-10	Union Titus Petange	L 1-5	43.7	1289	1245	51.52%	19.63%	28.85%	+0.50	-13.4	23
2019-03-10	@ Differdange 03	W 5-1	43.7	1245	1289	28.85%	19.63%	51.52%	-0.50	+13.4	27
2019-03-15	Differdange 03	D 3-3	64.6	1311	1276	50.35%	19.78%	29.87%	+0.45	-0.2	27
2019-03-15	@ Racing FC Union Luxembourg	D 3-3	64.6	1276	1311	29.87%	19.78%	50.35%	-0.45	+0.2	24
2019-03-15	F91 Dudelange	L 0-3	37.2	1358	1503	26.57%	19.23%	54.20%	-0.62	-7.1	31
2019-03-15	@ Jeunesse Esch	W 3-0	37.2	1503	1358	54.20%	19.23%	26.57%	+0.62	+7.1	36
2019-03-15	RM Hamm Benfica	W 1-0	30.9	1454	1158	78.27%	11.67%	10.06%	+2.00	+0.9	33
2019-03-15	@ Progres Niedercorn	L 0-1	30.9	1158	1454	10.06%	11.67%	78.27%	-2.00	-0.9	12
2019-03-15	Fola Esch	W 2-1	52.6	1259	1424	24.47%	18.76%	56.77%	-0.74	+4.6	30
2019-03-15	@ Union Titus Petange	L 1-2	52.6	1424	1259	56.77%	18.76%	24.47%	+0.74	-4.6	32
2019-03-15	Hostert	L 0-4	37.5	1157	1148	46.77%	20.13%	33.10%	+0.29	-14.9	9
2019-03-15	@ Rumelange	W 4-0	37.5	1148	1157	33.10%	20.13%	46.77%	-0.29	+14.9	15
2019-03-15	Mondorf-les-Bains	W 1-0	41.2	1251	1273	42.30%	20.36%	37.33%	+0.10	+3.5	26
2019-03-15	@ UNA Strassen	L 0-1	41.2	1273	1251	37.33%	20.36%	42.30%	-0.10	-3.5	18
2019-03-17	Victoria Rosport	D 0-0	50.1	1193	1187	46.45%	20.15%	33.40%	+0.28	-0.3	21
2019-03-17	@ Etzella Ettelbruck	D 0-0	50.1	1187	1193	33.40%	20.15%	46.45%	-0.28	+0.3	18
2019-03-30	Progres Niedercorn	W 2-0	45.8	1276	1455	23.15%	18.41%	58.44%	-0.82	+9.5	27
2019-03-30	@ Differdange 03	L 0-2	45.8	1455	1276	58.44%	18.41%	23.15%	+0.82	-9.5	33
2019-03-30	UNA Strassen	D 1-1	58.8	1510	1254	74.93%	13.10%	11.97%	+1.76	-1.3	37
2019-03-30	@ F91 Dudelange	D 1-1	58.8	1254	1510	11.97%	13.10%	74.93%	-1.76	+1.3	27
2019-03-30	Union Titus Petange	W 4-1	40.1	1270	1263	46.46%	20.15%	33.38%	+0.28	+7.3	21
2019-03-30	@ Mondorf-les-Bains	L 1-4	40.1	1263	1270	33.38%	20.15%	46.46%	-0.28	-7.3	30
2019-03-31	Etzella Ettelbruck	W 4-0	35.1	1163	1193	41.25%	20.38%	38.36%	+0.06	+12.7	18
2019-03-31	@ Hostert	L 0-4	35.1	1193	1163	38.36%	20.38%	41.25%	-0.06	-12.7	21
2019-03-31	Jeunesse Esch	L 1-2	41.9	1187	1351	24.64%	18.80%	56.56%	-0.73	-2.3	18
2019-03-31	@ Victoria Rosport	W 2-1	41.9	1351	1187	56.56%	18.80%	24.64%	+0.73	+2.3	34
2019-03-31	Racing FC Union Luxembourg	W 3-0	32.6	1419	1311	59.69%	18.12%	22.19%	+0.89	+5.9	35
2019-03-31	@ Fola Esch	L 0-3	32.6	1311	1419	22.19%	18.12%	59.69%	-0.89	-5.9	27
2019-03-31	Rumelange	L 0-1	43.7	1157	1142	47.64%	20.06%	32.31%	+0.33	-4.2	12
2019-03-31	@ RM Hamm Benfica	W 1-0	43.7	1142	1157	32.31%	20.06%	47.64%	-0.33	+4.2	12
2019-04-07	Differdange 03	L 1-2	42.5	1146	1285	27.23%	19.36%	53.41%	-0.59	-2.5	12
2019-04-07	@ Rumelange	W 2-1	42.5	1285	1146	53.41%	19.36%	27.23%	+0.59	+2.5	30
2019-04-07	F91 Dudelange	L 1-3	38.7	1256	1509	17.07%	16.12%	66.81%	-1.26	-2.7	30
2019-04-07	@ Union Titus Petange	W 3-1	38.7	1509	1256	66.81%	16.12%	17.07%	+1.26	+2.7	40
2019-04-07	RM Hamm Benfica	L 0-3	39.1	1181	1153	49.29%	19.90%	30.81%	+0.40	-11.9	21
2019-04-07	@ Etzella Ettelbruck	W 3-0	39.1	1153	1181	30.81%	19.90%	49.29%	-0.40	+11.9	15
2019-04-07	Fola Esch	D 1-1	59.3	1445	1425	48.30%	20.00%	31.70%	+0.36	-0.3	34
2019-04-07	@ Progres Niedercorn	D 1-1	59.3	1425	1445	31.70%	20.00%	48.30%	-0.36	+0.3	36
2019-04-07	Hostert	W 2-0	36.5	1185	1176	46.81%	20.13%	33.07%	+0.29	+5.9	21
2019-04-07	@ Victoria Rosport	L 0-2	36.5	1176	1185	33.07%	20.13%	46.81%	-0.29	-5.9	18
2019-04-07	Mondorf-les-Bains	W 3-0	34.3	1305	1277	49.30%	19.90%	30.80%	+0.40	+8.1	30
2019-04-07	@ Racing FC Union Luxembourg	L 0-3	34.3	1277	1305	30.80%	19.90%	49.30%	-0.40	-8.1	21
2019-04-07	UNA Strassen	L 1-2	52.3	1353	1255	58.35%	18.43%	23.22%	+0.82	-4.7	34
2019-04-07	@ Jeunesse Esch	W 2-1	52.3	1255	1353	23.22%	18.43%	58.35%	-0.82	+4.7	30
2019-04-14	Etzella Ettelbruck	W 2-0	32.5	1288	1169	60.91%	17.82%	21.27%	+0.95	+3.9	33
2019-04-14	@ Differdange 03	L 0-2	32.5	1169	1288	21.27%	17.82%	60.91%	-0.95	-3.9	21
2019-04-14	Jeunesse Esch	L 2-3	46.5	1170	1348	23.19%	18.42%	58.39%	-0.82	-2.0	18
2019-04-14	@ Hostert	W 3-2	46.5	1348	1170	58.39%	18.42%	23.19%	+0.82	+2.0	37
2019-04-14	Progres Niedercorn	W 1-0	48.4	1269	1445	23.45%	18.49%	58.06%	-0.81	+5.0	24
2019-04-14	@ Mondorf-les-Bains	L 0-1	48.4	1445	1269	58.06%	18.49%	23.45%	+0.81	-5.0	34
2019-04-14	Racing FC Union Luxembourg	W 2-0	33.8	1511	1313	69.54%	15.18%	15.28%	+1.42	+2.8	43
2019-04-14	@ F91 Dudelange	L 0-2	33.8	1313	1511	15.28%	15.18%	69.54%	-1.42	-2.8	30
2019-04-14	Rumelange	W 7-0	26.2	1426	1144	77.14%	12.17%	10.69%	+1.91	+6.0	39
2019-04-14	@ Fola Esch	L 0-7	26.2	1144	1426	10.69%	12.17%	77.14%	-1.91	-6.0	12
2019-04-14	Union Titus Petange	W 2-1	44.8	1260	1253	46.48%	20.15%	33.37%	+0.28	+3.0	33
2019-04-14	@ UNA Strassen	L 1-2	44.8	1253	1260	33.37%	20.15%	46.48%	-0.28	-3.0	30
2019-04-14	Victoria Rosport	L 1-3	44.7	1165	1191	41.89%	20.37%	37.74%	+0.09	-6.2	15
2019-04-14	@ RM Hamm Benfica	W 3-1	44.7	1191	1165	37.74%	20.37%	41.89%	-0.09	+6.2	24
2019-04-20	Differdange 03	L 0-1	39.5	1197	1292	32.42%	20.07%	47.51%	-0.32	-3.1	24
2019-04-20	@ Victoria Rosport	W 1-0	39.5	1292	1197	47.51%	20.07%	32.42%	+0.32	+3.1	36
2019-04-20	F91 Dudelange	L 0-2	45.3	1440	1514	35.11%	20.27%	44.63%	-0.20	-6.2	34
2019-04-20	@ Progres Niedercorn	W 2-0	45.3	1514	1440	44.63%	20.27%	35.11%	+0.20	+6.2	46
2019-04-20	RM Hamm Benfica	W 1-0	39.4	1168	1159	46.76%	20.13%	33.11%	+0.29	+3.1	21
2019-04-20	@ Hostert	L 0-1	39.4	1159	1168	33.11%	20.13%	46.76%	-0.29	-3.1	15
2019-04-20	Fola Esch	D 2-2	61.5	1165	1432	16.09%	15.62%	68.29%	-1.35	+0.8	22
2019-04-20	@ Etzella Ettelbruck	D 2-2	61.5	1432	1165	68.29%	15.62%	16.09%	+1.35	-0.8	40
2019-04-20	Mondorf-les-Bains	L 1-3	40.2	1138	1274	27.53%	19.41%	53.06%	-0.57	-4.4	12
2019-04-20	@ Rumelange	W 3-1	40.2	1274	1138	53.06%	19.41%	27.53%	+0.57	+4.3	27
2019-04-20	UNA Strassen	W 4-1	38.7	1310	1263	51.90%	19.58%	28.52%	+0.52	+6.3	33
2019-04-20	@ Racing FC Union Luxembourg	L 1-4	38.7	1263	1310	28.52%	19.58%	51.90%	-0.52	-6.3	33
2019-04-20	Union Titus Petange	D 1-1	55.3	1350	1250	58.64%	18.36%	23.00%	+0.83	-0.7	38
2019-04-20	@ Jeunesse Esch	D 1-1	55.3	1250	1350	23.00%	18.36%	58.64%	-0.83	+0.7	31
2019-04-26	Racing FC Union Luxembourg	L 0-1	41.1	1251	1316	36.30%	20.33%	43.38%	-0.15	-3.4	31
2019-04-26	@ Union Titus Petange	W 1-0	41.1	1316	1251	43.38%	20.33%	36.30%	+0.15	+3.4	36
2019-04-27	Victoria Rosport	D 1-1	56.8	1431	1194	73.21%	13.80%	12.99%	+1.65	-1.2	41
2019-04-27	@ Fola Esch	D 1-1	56.8	1194	1431	12.99%	13.80%	73.21%	-1.65	+1.2	25
2019-04-28	Etzella Ettelbruck	W 1-0	35.6	1279	1166	60.18%	18.00%	21.81%	+0.91	+2.1	30
2019-04-28	@ Mondorf-les-Bains	L 0-1	35.6	1166	1279	21.81%	18.00%	60.18%	-0.91	-2.1	22
2019-04-28	Hostert	W 3-1	37.8	1295	1171	61.47%	17.68%	20.85%	+0.98	+3.3	39
2019-04-28	@ Differdange 03	L 1-3	37.8	1171	1295	20.85%	17.68%	61.47%	-0.98	-3.3	21
2019-04-28	Jeunesse Esch	L 0-2	32.8	1156	1350	21.78%	17.99%	60.23%	-0.91	-4.0	15
2019-04-28	@ RM Hamm Benfica	W 2-0	32.8	1350	1156	60.23%	17.99%	21.78%	+0.91	+4.0	41
2019-04-28	Progres Niedercorn	L 2-4	44.6	1257	1434	23.33%	18.46%	58.22%	-0.81	-3.3	33
2019-04-28	@ UNA Strassen	W 4-2	44.6	1434	1257	58.22%	18.46%	23.33%	+0.81	+3.3	37
2019-04-28	Rumelange	D 2-2	64.1	1520	1134	84.74%	8.64%	6.63%	+2.54	-1.2	47
2019-04-28	@ F91 Dudelange	D 2-2	64.1	1134	1520	6.63%	8.64%	84.74%	-2.54	+1.2	13
2019-05-01	Differdange 03	D 1-1	54.4	1152	1298	26.42%	19.20%	54.38%	-0.63	+0.6	16
2019-05-01	@ RM Hamm Benfica	D 1-1	54.4	1298	1152	54.38%	19.20%	26.42%	+0.63	-0.6	40
2019-05-01	F91 Dudelange	L 0-2	29.1	1163	1519	11.00%	12.40%	76.60%	-1.88	-1.9	22
2019-05-01	@ Etzella Ettelbruck	W 2-0	29.1	1519	1163	76.60%	12.40%	11.00%	+1.88	+1.9	50
2019-05-01	Fola Esch	L 2-3	44.1	1168	1430	16.42%	15.79%	67.78%	-1.32	-1.4	21
2019-05-01	@ Hostert	W 3-2	44.1	1430	1168	67.78%	15.79%	16.42%	+1.32	+1.4	44
2019-05-01	Mondorf-les-Bains	L 0-4	33.8	1195	1281	33.61%	20.17%	46.22%	-0.27	-11.3	25
2019-05-01	@ Victoria Rosport	W 4-0	33.8	1281	1195	46.22%	20.17%	33.61%	+0.27	+11.3	33
2019-05-01	Racing FC Union Luxembourg	W 1-0	39.8	1354	1320	50.20%	19.80%	30.01%	+0.44	+2.9	44
2019-05-01	@ Jeunesse Esch	L 0-1	39.8	1320	1354	30.01%	19.80%	50.20%	-0.44	-2.9	36
2019-05-01	UNA Strassen	L 0-2	35.4	1135	1253	29.53%	19.73%	50.74%	-0.47	-5.3	13
2019-05-01	@ Rumelange	W 2-0	35.4	1253	1135	50.74%	19.73%	29.53%	+0.47	+5.3	36
2019-05-01	Union Titus Petange	W 1-0	34.5	1437	1248	68.61%	15.51%	15.88%	+1.37	+1.5	40
2019-05-01	@ Progres Niedercorn	L 0-1	34.5	1248	1437	15.88%	15.51%	68.61%	-1.37	-1.5	31
2019-05-05	Etzella Ettelbruck	W 2-1	41.0	1259	1161	58.30%	18.44%	23.26%	+0.82	+2.2	39
2019-05-05	@ UNA Strassen	L 1-2	41.0	1161	1259	23.26%	18.44%	58.30%	-0.82	-2.1	22
2019-05-05	RM Hamm Benfica	W 2-0	28.2	1431	1152	76.89%	12.28%	10.84%	+1.90	+1.9	47
2019-05-05	@ Fola Esch	L 0-2	28.2	1152	1431	10.84%	12.28%	76.89%	-1.90	-1.9	16
2019-05-05	Hostert	D 2-2	60.4	1292	1166	61.69%	17.62%	20.69%	+0.99	-0.6	34
2019-05-05	@ Mondorf-les-Bains	D 2-2	60.4	1166	1292	20.69%	17.62%	61.69%	-0.99	+0.6	22
2019-05-05	Jeunesse Esch	W 2-0	40.7	1298	1357	37.16%	20.36%	42.48%	-0.11	+7.2	43
2019-05-05	@ Differdange 03	L 0-2	40.7	1357	1298	42.48%	20.36%	37.16%	+0.11	-7.2	44
2019-05-05	Progres Niedercorn	W 5-0	41.4	1317	1439	29.14%	19.67%	51.18%	-0.49	+19.8	39
2019-05-05	@ Racing FC Union Luxembourg	L 0-5	41.4	1439	1317	51.18%	19.67%	29.14%	+0.49	-19.8	40
2019-05-05	Rumelange	W 2-1	40.2	1246	1129	60.61%	17.90%	21.49%	+0.93	+2.0	34
2019-05-05	@ Union Titus Petange	L 1-2	40.2	1129	1246	21.49%	17.90%	60.61%	-0.93	-2.0	13
2019-05-05	Victoria Rosport	W 2-0	27.9	1521	1184	81.44%	10.23%	8.34%	+2.25	+1.4	53
2019-05-05	@ F91 Dudelange	L 0-2	27.9	1184	1521	8.34%	10.23%	81.44%	-2.25	-1.4	25
2019-05-12	F91 Dudelange	L 3-4	45.6	1167	1523	11.00%	12.40%	76.59%	-1.88	-0.9	22
2019-05-12	@ Hostert	W 4-3	45.6	1523	1167	76.59%	12.40%	11.00%	+1.88	+0.9	56
2019-05-12	Fola Esch	L 0-4	34.2	1305	1433	28.45%	19.57%	51.99%	-0.52	-9.8	43
2019-05-12	@ Differdange 03	W 4-0	34.2	1433	1305	51.99%	19.57%	28.45%	+0.52	+9.8	50
2019-05-12	Mondorf-les-Bains	W 2-1	50.4	1150	1291	27.01%	19.31%	53.68%	-0.60	+4.4	19
2019-05-12	@ RM Hamm Benfica	L 1-2	50.4	1291	1150	53.68%	19.31%	27.01%	+0.60	-4.4	34
2019-05-12	Progres Niedercorn	D 1-1	56.7	1349	1419	35.71%	20.30%	43.99%	-0.17	+0.2	45
2019-05-12	@ Jeunesse Esch	D 1-1	56.7	1419	1349	43.99%	20.30%	35.71%	+0.17	-0.2	41
2019-05-12	Racing FC Union Luxembourg	W 2-1	52.4	1127	1337	20.46%	17.54%	62.00%	-1.00	+5.0	16
2019-05-12	@ Rumelange	L 1-2	52.4	1337	1127	62.00%	17.54%	20.46%	+1.00	-5.0	39
2019-05-12	UNA Strassen	W 2-1	48.2	1182	1261	34.52%	20.23%	45.24%	-0.23	+3.8	28
2019-05-12	@ Victoria Rosport	L 1-2	48.2	1261	1182	45.24%	20.23%	34.52%	+0.23	-3.8	39
2019-05-12	Union Titus Petange	W 2-1	48.5	1159	1248	33.19%	20.14%	46.67%	-0.29	+3.9	25
2019-05-12	@ Etzella Ettelbruck	L 1-2	48.5	1248	1159	46.67%	20.14%	33.19%	+0.29	-3.9	34
2019-05-19	Differdange 03	D 0-0	50.7	1287	1295	44.39%	20.28%	35.33%	+0.19	-0.2	35
2019-05-19	@ Mondorf-les-Bains	D 0-0	50.7	1295	1287	35.33%	20.28%	44.39%	-0.19	+0.2	44
2019-05-19	Etzella Ettelbruck	L 0-3	43.5	1332	1163	66.40%	16.25%	17.35%	+1.24	-15.3	39
2019-05-19	@ Racing FC Union Luxembourg	W 3-0	43.5	1163	1332	17.35%	16.25%	66.40%	-1.24	+15.3	28
2019-05-19	RM Hamm Benfica	W 5-3	39.1	1523	1155	83.58%	9.20%	7.22%	+2.43	+0.9	59
2019-05-19	@ F91 Dudelange	L 3-5	39.1	1155	1523	7.22%	9.20%	83.58%	-2.43	-0.9	19
2019-05-19	Hostert	L 3-4	59.9	1257	1166	57.56%	18.60%	23.85%	+0.78	-4.3	39
2019-05-19	@ UNA Strassen	W 4-3	59.9	1166	1257	23.85%	18.60%	57.56%	-0.78	+4.3	25
2019-05-19	Jeunesse Esch	L 2-5	53.1	1443	1349	57.80%	18.54%	23.65%	+0.79	-10.0	50
2019-05-19	@ Fola Esch	W 5-2	53.1	1349	1443	23.65%	18.54%	57.80%	-0.79	+10.0	48
2019-05-19	Rumelange	W 3-0	25.6	1419	1132	77.52%	12.00%	10.48%	+1.94	+2.6	44
2019-05-19	@ Progres Niedercorn	L 0-3	25.6	1132	1419	10.48%	12.00%	77.52%	-1.94	-2.6	16
2019-05-19	Victoria Rosport	W 2-0	34.7	1244	1186	53.35%	19.36%	27.28%	+0.58	+5.0	37
2019-05-19	@ Union Titus Petange	L 0-2	34.7	1186	1244	27.28%	19.36%	53.35%	-0.58	-5.0	28

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	2018-08-26	14.37%	Mondorf-les-Bains	1280	4	@ F91 Dudelange	1493	1
2	2018-08-13	14.46%	Differdange 03	1293	2	@ F91 Dudelange	1504	0
3	2019-05-19	17.35%	Etzella Ettelbruck	1163	3	@ Racing FC Union Luxembourg	1332	0
4	2018-08-05	17.44%	@ Rumelange	1196	2	Progres Niedercorn	1444	1
5	2018-08-19	18.39%	@ Victoria Rosport	1204	2	Progres Niedercorn	1439	1
6	2018-10-31	19.74%	Jeunesse Esch	1358	3	@ F91 Dudelange	1495	1
7	2019-05-12	20.46%	@ Rumelange	1127	2	Racing FC Union Luxembourg	1337	1
8	2019-03-30	23.15%	@ Differdange 03	1276	2	Progres Niedercorn	1455	0
9	2019-04-07	23.22%	UNA Strassen	1255	2	@ Jeunesse Esch	1353	1
10	2019-04-14	23.45%	@ Mondorf-les-Bains	1269	1	Progres Niedercorn	1445	0
11	2019-05-19	23.65%	Jeunesse Esch	1349	5	@ Fola Esch	1443	2
12	2019-03-03	23.70%	Mondorf-les-Bains	1270	2	@ Jeunesse Esch	1363	1
13	2019-05-19	23.85%	Hostert	1166	4	@ UNA Strassen	1257	3
14	2019-03-10	23.90%	@ RM Hamm Benfica	1149	2	Racing FC Union Luxembourg	1320	0
15	2019-03-15	24.47%	@ Union Titus Petange	1259	2	Fola Esch	1424	1
16	2018-08-12	24.87%	RM Hamm Benfica	1167	3	@ UNA Strassen	1248	0
17	2018-08-19	26.05%	UNA Strassen	1234	3	@ Differdange 03	1304	1
18	2019-05-12	27.01%	@ RM Hamm Benfica	1150	2	Mondorf-les-Bains	1291	1
19	2019-03-10	28.85%	Union Titus Petange	1245	5	@ Differdange 03	1289	1
20	2018-10-21	28.87%	@ Union Titus Petange	1238	3	Jeunesse Esch	1362	2
21	2019-05-05	29.14%	@ Racing FC Union Luxembourg	1317	5	Progres Niedercorn	1439	0
22	2018-10-06	30.44%	@ Etzella Ettelbruck	1190	1	Differdange 03	1301	0
23	2018-08-12	30.51%	@ Mondorf-les-Bains	1278	2	Fola Esch	1389	0
24	2019-04-07	30.81%	RM Hamm Benfica	1153	3	@ Etzella Ettelbruck	1181	0
25	2018-09-01	31.22%	Etzella Ettelbruck	1182	3	@ Victoria Rosport	1206	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	2019-05-05	19.78	@ Racing FC Union Luxembourg	5	1317	29.14%	Progres Niedercorn	0	1439	51.18%	19.67%
2	2019-05-19	15.34	Etzella Ettelbruck	3	1163	17.35%	@ Racing FC Union Luxembourg	0	1332	66.40%	16.25%
3	2019-03-15	14.87	Hostert	4	1148	33.10%	@ Rumelange	0	1157	46.77%	20.13%
4	2018-08-26	13.66	Mondorf-les-Bains	4	1280	14.37%	@ F91 Dudelange	1	1493	70.97%	14.66%
5	2019-03-10	13.44	Union Titus Petange	5	1245	28.85%	@ Differdange 03	1	1289	51.52%	19.63%
6	2018-08-12	13.33	RM Hamm Benfica	3	1167	24.87%	@ UNA Strassen	0	1248	56.28%	18.85%
7	2018-08-05	13.20	UNA Strassen	6	1234	40.20%	@ Hostert	1	1191	39.41%	20.39%
8	2019-03-31	12.66	@ Hostert	4	1163	41.25%	Etzella Ettelbruck	0	1193	38.36%	20.38%
9	2019-04-07	11.90	RM Hamm Benfica	3	1153	30.81%	@ Etzella Ettelbruck	0	1181	49.29%	19.90%
10	2018-09-01	11.80	Etzella Ettelbruck	3	1182	31.22%	@ Victoria Rosport	0	1206	48.84%	19.95%
11	2019-05-01	11.34	Mondorf-les-Bains	4	1281	46.22%	@ Victoria Rosport	0	1195	33.61%	20.17%
12	2018-12-02	11.22	@ Progres Niedercorn	5	1443	54.66%	Jeunesse Esch	0	1375	26.19%	19.15%
13	2018-08-13	11.13	Differdange 03	2	1293	14.46%	@ F91 Dudelange	0	1504	70.82%	14.72%
14	2018-09-30	10.66	Racing FC Union Luxembourg	3	1306	36.47%	@ Mondorf-les-Bains	0	1289	43.20%	20.33%
15	2018-09-30	10.59	Victoria Rosport	3	1195	36.81%	@ Hostert	0	1176	42.84%	20.35%
16	2018-09-30	10.33	Jeunesse Esch	4	1348	50.06%	@ UNA Strassen	0	1234	30.12%	19.81%
17	2018-12-02	10.24	@ UNA Strassen	4	1227	50.39%	Victoria Rosport	0	1191	29.83%	19.77%
18	2018-08-17	10.19	Racing FC Union Luxembourg	4	1293	50.55%	@ Hostert	0	1176	29.69%	19.75%
19	2019-05-19	9.96	Jeunesse Esch	5	1349	23.65%	@ Fola Esch	2	1443	57.80%	18.54%
20	2019-05-12	9.81	Fola Esch	4	1433	51.99%	@ Differdange 03	0	1305	28.45%	19.57%
21	2019-03-30	9.48	@ Differdange 03	2	1276	23.15%	Progres Niedercorn	0	1455	58.44%	18.41%
22	2019-03-10	9.34	@ RM Hamm Benfica	2	1149	23.90%	Racing FC Union Luxembourg	0	1320	57.49%	18.61%
23	2019-02-24	9.20	Union Titus Petange	3	1229	43.69%	@ Hostert	0	1162	36.00%	20.31%
24	2018-11-11	8.98	@ Mondorf-les-Bains	4	1271	55.11%	Victoria Rosport	0	1199	25.82%	19.07%
25	2018-10-31	8.75	Jeunesse Esch	3	1358	19.74%	@ F91 Dudelange	1	1495	62.98%	17.27%

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	2019-03-01	67.2	@ Progres Niedercorn	3	1453	76.31%	Victoria Rosport	3	1182	11.17%	12.53%
2	2019-03-15	64.6	@ Racing FC Union Luxembourg	3	1311	50.35%	Differdange 03	3	1276	29.87%	19.78%
3	2019-04-28	64.1	@ F91 Dudelange	2	1520	84.74%	Rumelange	2	1134	6.63%	8.64%
4	2018-11-25	62.7	@ Victoria Rosport	2	1190	13.83%	F91 Dudelange	2	1493	71.83%	14.34%
5	2019-03-03	61.5	@ F91 Dudelange	1	1502	55.84%	Fola Esch	1	1424	25.22%	18.94%
6	2019-04-20	61.5	@ Etzella Ettelbruck	2	1165	16.09%	Fola Esch	2	1432	68.29%	15.62%
7	2018-12-02	60.7	@ Racing FC Union Luxembourg	2	1318	64.73%	Rumelange	2	1165	18.50%	16.77%
8	2019-05-05	60.4	@ Mondorf-les-Bains	2	1292	61.69%	Hostert	2	1166	20.69%	17.62%
9	2018-12-02	60.3	@ Mondorf-les-Bains	2	1280	60.92%	RM Hamm Benfica	2	1160	21.26%	17.82%
10	2018-08-12	60.2	@ Racing FC Union Luxembourg	2	1293	57.40%	Victoria Rosport	2	1204	23.97%	18.63%
11	2018-08-31	60.1	@ Mondorf-les-Bains	2	1294	53.16%	UNA Strassen	2	1237	27.44%	19.39%
12	2019-05-19	59.9	Hostert	4	1166	23.85%	@ UNA Strassen	3	1257	57.56%	18.60%
13	2018-08-19	59.5	@ RM Hamm Benfica	2	1180	36.77%	Union Titus Petange	2	1242	42.89%	20.34%
14	2019-04-07	59.3	@ Progres Niedercorn	1	1445	48.30%	Fola Esch	1	1425	31.70%	20.00%
15	2019-03-30	58.8	@ F91 Dudelange	1	1510	74.93%	UNA Strassen	1	1254	11.97%	13.10%
16	2018-10-07	58.1	@ Racing FC Union Luxembourg	1	1316	23.69%	F91 Dudelange	1	1490	57.76%	18.55%
17	2018-08-26	57.0	@ Progres Niedercorn	1	1435	76.09%	Hostert	1	1165	11.29%	12.62%
18	2019-04-27	56.8	@ Fola Esch	1	1431	73.21%	Victoria Rosport	1	1194	12.99%	13.80%
19	2019-03-10	56.7	@ Fola Esch	1	1425	67.15%	UNA Strassen	1	1250	16.84%	16.00%
20	2019-05-12	56.7	@ Jeunesse Esch	1	1349	35.71%	Progres Niedercorn	1	1419	43.99%	20.30%
21	2019-02-24	56.4	@ Etzella Ettelbruck	1	1186	16.01%	Progres Niedercorn	1	1455	68.41%	15.58%
22	2018-10-21	55.8	@ Union Titus Petange	3	1238	28.87%	Jeunesse Esch	2	1362	51.49%	19.63%
23	2018-09-16	55.5	@ Jeunesse Esch	1	1349	64.88%	Victoria Rosport	1	1194	18.40%	16.72%
24	2019-04-20	55.3	@ Jeunesse Esch	1	1350	58.64%	Union Titus Petange	1	1250	23.00%	18.36%
25	2019-02-23	55.1	@ Rumelange	1	1166	21.41%	Jeunesse Esch	1	1364	60.72%	17.87%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2019-05-19	25.6	@ Progres Niedercorn	3	1419	77.52%	Rumelange	0	1132	10.48%	12.00%
2	2019-04-14	26.2	@ Fola Esch	7	1426	77.14%	Rumelange	0	1144	10.69%	12.17%
3	2018-11-04	27.2	@ Jeunesse Esch	4	1367	68.92%	RM Hamm Benfica	0	1174	15.68%	15.40%
4	2019-05-05	27.9	@ F91 Dudelange	2	1521	81.44%	Victoria Rosport	0	1184	8.34%	10.23%
5	2018-10-21	28.0	@ Fola Esch	6	1393	69.51%	Etzella Ettelbruck	0	1194	15.29%	15.19%
6	2018-10-07	28.1	@ Jeunesse Esch	3	1358	68.89%	Hostert	0	1166	15.70%	15.41%
7	2019-05-05	28.2	@ Fola Esch	2	1431	76.89%	RM Hamm Benfica	0	1152	10.84%	12.28%
8	2018-11-10	28.9	@ Differdange 03	4	1302	62.57%	RM Hamm Benfica	0	1169	20.04%	17.39%
9	2019-05-01	29.1	F91 Dudelange	2	1519	76.60%	@ Etzella Ettelbruck	0	1163	11.00%	12.40%
10	2018-09-02	30.1	@ Fola Esch	3	1385	64.09%	Union Titus Petange	0	1238	18.96%	16.96%
11	2018-11-04	30.2	F91 Dudelange	9	1487	72.50%	@ Rumelange	2	1177	13.42%	14.08%
12	2018-11-03	30.4	@ Progres Niedercorn	2	1431	71.11%	UNA Strassen	0	1216	14.28%	14.61%
13	2019-02-24	30.4	@ Fola Esch	5	1416	62.95%	Mondorf-les-Bains	0	1279	19.77%	17.28%
14	2018-09-30	30.6	@ F91 Dudelange	6	1486	74.27%	Union Titus Petange	1	1237	12.35%	13.37%
15	2018-10-07	30.6	Fola Esch	3	1387	61.26%	@ Rumelange	0	1184	21.00%	17.73%
16	2018-12-02	30.7	@ F91 Dudelange	4	1492	80.80%	Hostert	1	1164	8.68%	10.52%
17	2019-03-15	30.9	@ Progres Niedercorn	1	1454	78.27%	RM Hamm Benfica	0	1158	10.06%	11.67%
18	2019-03-03	31.0	@ Racing FC Union Luxembourg	2	1317	65.96%	Hostert	0	1153	17.65%	16.39%
19	2018-11-11	31.1	@ Mondorf-les-Bains	4	1271	55.11%	Victoria Rosport	0	1199	25.82%	19.07%
20	2019-03-03	31.5	@ Union Titus Petange	3	1239	56.54%	RM Hamm Benfica	0	1156	24.65%	18.80%
21	2018-10-21	31.6	@ Differdange 03	3	1296	56.87%	Victoria Rosport	0	1211	24.39%	18.74%
22	2018-11-10	32.2	@ Fola Esch	4	1405	73.42%	Hostert	1	1166	12.86%	13.71%
23	2018-12-02	32.4	@ UNA Strassen	4	1227	50.39%	Victoria Rosport	0	1191	29.83%	19.77%
24	2018-08-17	32.5	Racing FC Union Luxembourg	4	1293	50.55%	@ Hostert	0	1176	29.69%	19.75%
25	2019-04-14	32.5	@ Differdange 03	2	1288	60.91%	Etzella Ettelbruck	0	1169	21.27%	17.82%