2018-19 Challenge League Season

180 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

Aarau

15.41 points above expected

64 points · 48.59 expected points

Biggest Disappointment

Rapperswil-Jona

11.97 points below expected

35 points · 46.97 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	Servette	36	24	7	5	79	90	37	+53	65.86	+13.14
2	Aarau	36	19	7	10	64	63	46	+17	48.59	+15.41
3	Lausanne-Sport	36	16	15	5	63	64	37	+27	63.03	-0.03
4	Winterthur	36	16	8	12	56	57	51	+6	49.26	+6.74
5	Wil	36	10	12	14	42	33	47	-14	46.15	-4.15
6	Vaduz	36	11	9	16	42	48	70	-22	51.21	-9.21
7	Schaffhausen	36	10	9	17	39	43	62	-19	48.20	-9.20
8	Kriens	36	7	15	14	36	46	58	-12	37.82	-1.82
9	Chiasso	36	9	9	18	36	43	67	-24	36.72	-0.72
10	Rapperswil-Jona	36	10	5	21	35	47	59	-12	46.97	-11.97

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	Aarau	64	48.59	+15.41
2	Servette	79	65.86	+13.14
3	Winterthur	56	49.26	+6.74
4	Lausanne-Sport	63	63.03	-0.03
5	Chiasso	36	36.72	-0.72

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Rapperswil-Jona	35	46.97	-11.97
2	Vaduz	42	51.21	-9.21
3	Schaffhausen	39	48.20	-9.20
4	Wil	42	46.15	-4.15
5	Kriens	36	37.82	-1.82

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	Servette	7	Oct 7 – Dec 2	1 in 92
2	Aarau	5	Dec 7 – Feb 17	1 in 72
3	Kriens	3	Mar 9 – Mar 30	1 in 32
4	Chiasso	2	Aug 10 – Aug 25	1 in 14
5	Winterthur	3	May 16 – May 26	1 in 11

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Aarau	6	Jul 21 – Sep 1	1 in 363
2	Rapperswil-Jona	5	Dec 8 – Feb 20	1 in 62
3	Chiasso	4	Oct 21 – Nov 10	1 in 17
4	Schaffhausen	4	Mar 10 – Apr 2	1 in 16
5	Winterthur	3	Mar 8 – Mar 29	1 in 14

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Aarau	14	Mar 1 – May 26	1 in 365
2	Kriens	6	Aug 4 – Sep 25	1 in 54
3	Servette	13	Sep 22 – Feb 2	1 in 46
4	Lausanne-Sport	13	Nov 11 – Mar 30	1 in 31
5	Wil	7	Aug 3 – Sep 29	1 in 29

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Rapperswil-Jona	13	Sep 29 – Feb 20	1 in 277
2	Schaffhausen	12	Dec 16 – Apr 13	1 in 205
3	Kriens	10	Apr 2 – May 26	1 in 33
4	Vaduz	8	Nov 11 – Feb 15	1 in 31
5	Wil	8	Dec 2 – Mar 2	1 in 24

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
Servette	1634	79	+34	15	10.4	+4.6
Aarau	1530	64	+33	13	9.0	+4.0
Lausanne-Sport	1558	63	-17	7	8.8	-1.8
Winterthur	1450	56	+33	12	8.0	+4.0
Vaduz	1376	42	-6	7	5.6	+1.4
Wil	1333	42	-21	4	6.3	-2.3
Schaffhausen	1372	39	-2	4	4.8	-0.8
Chiasso	1338	36	-5	6	5.5	+0.5
Kriens	1339	36	-23	1	4.5	-3.5
Rapperswil-Jona	1387	35	-27	3	6.1	-3.1

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations

Team	AAR	CHI	KRI	LAU	RAP	SCH	SER	VAD	WIL	WIN
Aarau	—	3-0-1 6.72	1-2-1 6.95	1-3-0 3.75	3-0-1 5.57	4-0-0 5.72	1-1-2 3.84	2-0-2 5.30	3-0-1 5.41	1-1-2 5.60
Chiasso	1-0-3 4.27	—	0-4-0 5.24	0-2-2 3.07	2-1-1 4.25	2-1-1 4.17	1-0-3 2.87	0-0-4 4.21	2-0-2 4.67	1-1-2 4.20
Kriens	1-2-1 4.05	0-4-0 5.70	—	0-2-2 3.09	2-0-2 4.15	1-0-3 4.58	0-1-3 2.96	1-2-1 4.18	1-2-1 4.90	1-2-1 4.43
Lausanne-Sport	0-3-1 7.27	2-2-0 8.01	2-2-0 7.99	—	3-1-0 7.19	2-2-0 7.13	1-1-2 5.09	2-1-1 6.76	2-2-0 7.23	2-1-1 7.20
Rapperswil-Jona	1-0-3 5.42	1-1-2 6.72	2-0-2 6.83	0-1-3 3.82	—	3-0-1 5.35	0-1-3 3.55	2-1-1 5.07	1-1-2 5.61	0-0-4 5.65
Schaffhausen	0-0-4 5.27	1-1-2 6.83	3-0-1 6.39	0-2-2 3.89	1-0-3 5.59	—	0-1-3 3.84	2-2-0 5.14	3-1-0 5.64	0-2-2 5.39
Servette	2-1-1 7.17	3-0-1 8.26	3-1-0 8.15	2-1-1 5.86	3-1-0 7.51	3-1-0 7.19	—	3-0-1 7.15	1-2-1 7.42	4-0-0 7.35
Vaduz	2-0-2 5.66	4-0-0 6.77	1-2-1 6.80	1-1-2 4.24	1-1-2 5.88	0-2-2 5.80	1-0-3 3.88	—	0-3-1 6.14	1-0-3 5.81
Wil	1-0-3 5.54	2-0-2 6.28	1-2-1 6.05	0-2-2 3.78	2-1-1 5.33	0-1-3 5.31	1-2-1 3.61	1-3-0 4.82	—	2-1-1 5.19
Winterthur	2-1-1 5.35	2-1-1 6.78	1-2-1 6.53	1-1-2 3.81	4-0-0 5.32	2-2-0 5.56	0-0-4 3.67	3-0-1 5.15	1-1-2 5.76	—

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	0.84	+8.7
Allowed	0.68	-10.8
Differential	0.92	+5.8

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	4.44%	5.56%	8.06%	2.22%	0.83%	0.28%	21.39%
1	5.56%	14.44%	7.78%	3.61%	2.22%	1.39%	35.00%
2	8.06%	7.78%	6.11%	3.61%	0.28%	0.56%	26.39%
3	2.22%	3.61%	3.61%	1.67%	—	0.28%	11.39%
4	0.83%	2.22%	0.28%	—	—	—	3.33%
5+	0.28%	1.39%	0.56%	0.28%	—	—	2.50%
Total	21.39%	35.00%	26.39%	11.39%	3.33%	2.50%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.48	+0.00
SD	1.21	1.21	1.78
CV	0.81	0.81	—
Max	6	6	+5
Min	0	0	-5

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	11.11%	—	—	—	13.89%
1	11.11%	5.56%	8.33%	5.56%	—	—	30.56%
2	2.78%	11.11%	8.33%	2.78%	—	—	25.00%
3	8.33%	11.11%	5.56%	2.78%	—	—	27.78%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	27.78%	27.78%	33.33%	11.11%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.75	1.28	+0.47
SD	1.11	1.00	1.63
CV	0.63	0.79	—
Max	4	3	+4
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	11.11%	5.56%	2.78%	—	2.78%	27.78%
1	2.78%	11.11%	2.78%	8.33%	—	5.56%	30.56%
2	5.56%	13.89%	5.56%	8.33%	2.78%	—	36.11%
3	—	2.78%	—	2.78%	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	13.89%	38.89%	13.89%	22.22%	2.78%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	1.86	-0.67
SD	0.92	1.44	1.69
CV	0.77	0.77	—
Max	3	5	+2
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	5.56%	2.78%	2.78%	—	—	16.67%
1	2.78%	22.22%	11.11%	—	5.56%	—	41.67%
2	5.56%	11.11%	11.11%	11.11%	—	—	38.89%
3	—	—	—	2.78%	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	13.89%	38.89%	25.00%	16.67%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.28	1.61	-0.33
SD	0.78	1.10	1.20
CV	0.61	0.68	—
Max	3	4	+2
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	—	2.78%	2.78%	—	—	11.11%
1	11.11%	25.00%	5.56%	2.78%	—	—	44.44%
2	13.89%	2.78%	11.11%	—	—	—	27.78%
3	—	—	2.78%	—	—	—	2.78%
4	—	2.78%	—	—	—	—	2.78%
5+	2.78%	5.56%	2.78%	—	—	—	11.11%
Total	33.33%	36.11%	25.00%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.78	1.03	+0.75
SD	1.49	0.91	1.75
CV	0.84	0.89	—
Max	6	3	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	16.67%	5.56%	2.78%	2.78%	—	30.56%
1	5.56%	5.56%	16.67%	—	5.56%	—	33.33%
2	5.56%	5.56%	2.78%	5.56%	—	—	19.44%
3	2.78%	—	—	2.78%	—	2.78%	8.33%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	19.44%	33.33%	25.00%	11.11%	8.33%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	1.64	-0.33
SD	1.24	1.31	1.85
CV	0.95	0.80	—
Max	4	5	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	16.67%	5.56%	—	—	25.00%
1	5.56%	16.67%	8.33%	8.33%	—	2.78%	41.67%
2	8.33%	5.56%	5.56%	5.56%	—	—	25.00%
3	—	—	5.56%	—	—	—	5.56%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	16.67%	25.00%	36.11%	19.44%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	1.72	-0.53
SD	0.98	1.23	1.70
CV	0.82	0.72	—
Max	4	6	+3
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	—	—	—	—	8.33%
1	—	13.89%	8.33%	—	—	—	22.22%
2	16.67%	2.78%	—	—	—	—	19.44%
3	8.33%	8.33%	8.33%	2.78%	—	—	27.78%
4	—	8.33%	—	—	—	—	8.33%
5+	—	8.33%	2.78%	2.78%	—	—	13.89%
Total	27.78%	47.22%	19.44%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.50	1.03	+1.47
SD	1.56	0.84	1.61
CV	0.62	0.82	—
Max	6	3	+5
Min	0	0	-1

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	8.33%	5.56%	—	—	19.44%
1	8.33%	11.11%	11.11%	2.78%	8.33%	2.78%	44.44%
2	2.78%	8.33%	8.33%	—	—	2.78%	22.22%
3	—	2.78%	5.56%	2.78%	—	—	11.11%
4	—	—	2.78%	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	13.89%	25.00%	36.11%	11.11%	8.33%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.94	-0.61
SD	1.01	1.41	1.73
CV	0.76	0.73	—
Max	4	6	+2
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	19.44%	—	5.56%	—	36.11%
1	5.56%	22.22%	5.56%	5.56%	—	—	38.89%
2	11.11%	8.33%	2.78%	—	—	—	22.22%
3	—	2.78%	—	—	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	36.11%	27.78%	5.56%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.92	1.31	-0.39
SD	0.84	1.09	1.61
CV	0.92	0.84	—
Max	3	4	+2
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	11.11%	8.33%	—	—	—	25.00%
1	2.78%	11.11%	—	2.78%	2.78%	2.78%	22.22%
2	8.33%	8.33%	5.56%	2.78%	—	2.78%	27.78%
3	2.78%	8.33%	8.33%	—	—	—	19.44%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	22.22%	41.67%	22.22%	5.56%	2.78%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.42	+0.17
SD	1.23	1.30	1.84
CV	0.78	0.91	—
Max	4	5	+4
Min	0	0	-4

Games Played: 36

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
Servette	1634	79	65.86	+13.14	99.0%	47	53	62	66	71	76	80
Lausanne-Sport	1558	63	63.03	-0.03	49.0%	43	49	59	64	69	73	76
Aarau	1530	64	48.59	+15.41	98.0%	33	38	43	48	53	60	68
Winterthur	1450	56	49.26	+6.74	84.0%	34	37	44	49	55	64	68
Rapperswil-Jona	1387	35	46.97	-11.97	6.0%	31	34	42	46	54	59	63
Vaduz	1376	42	51.21	-9.21	13.0%	36	40	45	51	56	65	72
Schaffhausen	1372	39	48.20	-9.20	11.0%	28	36	43	48	53	62	67
Kriens	1339	36	37.82	-1.82	46.0%	25	26	32	37	42	49	58
Chiasso	1338	36	36.72	-0.72	50.0%	18	23	31	36	42	47	56
Wil	1333	42	46.15	-4.15	36.0%	32	33	41	45	51	60	69

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 11.5% * Slight Edge: 11.5% to 19% * Clear Edge: 19% to 28.5% * Strong Edge: 28.5% 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

+11.11%

No Edge

42.22%26.67%31.11%

Elo Value

Home Edge: 38.76 Elo pts.

143 Elo

0.007 goals per Elo point

0400

Scoring Tilt

Expected

+0.29 goals

Neutral

-2+0.27+2

Title Race

How these are measured

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

Title-Race Openness: Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 5th * Longshot: 6th 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 0.06 * Tight Race: 0.06 to 0.13 * Comfortable: 0.13 to 0.24 * Runaway: 0.24 and up.

Title-Race Openness

2.6

Top-Heavy

123410

Champion Preseason Odds

52%

Servette, 1st of 10

LongshotFavorite

Title Margin

Expected

0.42/gm

Runaway

00.190.6/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 5.94 * Some Luck: 5.94 to 8.92 * Lucky: 8.92 to 11.89 * Wild Swing: 11.89 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 1.27 * Close: 1.27 to 1.91 * Off: 1.91 to 2.55 * Way Off: 2.55 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 10 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 10 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 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.

Luck Spread

Expected

8.88 points

Some Luck

07.4319

Average Finish Error

Expected

1.60

01.594

Biggest Overachiever

Expected 95.00%

99.00%

Servette

50100

Biggest Underachiever

Expected 5.00%

6.00%

Rapperswil-Jona

050

Season Outliers

Expected

2 of 10

Minimal Outliers

01.010

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 0.13 * Even: 0.13 to 0.17 * Top-Heavy: 0.17 to 0.2 * Lopsided: 0.2 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 1.5 * Moderate Separation: 1.5 to 1.8 * Strong Separation: 1.8 to 2.15 * Wide Separation: 2.15 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 63.5% * Slight Edge: 63.5% to 68% * Clear Edge: 68% to 74.5% * Wide Edge: 74.5% 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 85% * Clear Edge: 85% to 91% * Strong Edge: 91% 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 54.5% * Some Drama: 54.5% to 60% * Frequent: 60% to 65% * Very Frequent: 65% 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 14.5% * Occasional: 14.5% to 18.5% * Frequent: 18.5% to 23.5% * Very Frequent: 23.5% and up.

Gini Index

0.16

Even

00.130.20.5

Noll-Scully

Elo SD: 106.69

1.95

Strong Separation

0.751.51.82.153

Interquartile Edge

72%

Clear Edge

50%63.5%74.5%100%

Best vs. Worst

Baseline

85%

Even

50%88%100%

Close Games

Expected

61%

Frequent

0%60%100%

Blowouts

Expected

15%

Occasional

0%16%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 0.34 * Slight Separation: 0.34 to 0.42 * Notable Separation: 0.42 to 0.51 * Lopsided: 0.51 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 0.38 * Some Carryover: 0.38 to 0.57 * Strong Carryover: 0.57 to 0.7 * Near-Lock: 0.7 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 18% * As Expected: 18% to 22% * Upset-Prone: 22% to 25% * Very Upset-Prone: 25% 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 15.5% * As Expected: 15.5% to 18.5% * Shaky Favorites: 18.5% to 22% * Very Shaky: 22% and up.

Brier Score

Expected

0.61

Predictable

00.622

Matchup Imbalance

0.28

Very Even

00.340.420.5

Strangeness

Expected

1.51

Chaotic

01.002

Repeatability

0.45

Some Carryover

00.380.570.71

Upset Rate

Expected

26%

Very Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

17%

As Expected

0%22%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

0.58

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.28

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.076

Well Within Noise

00.1250.3

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
Servette	52.00%	33.00%	9.00%	3.00%	2.00%	1.00%	—	—	—	—
Aarau	3.00%	7.00%	5.00%	20.00%	18.00%	18.00%	7.00%	11.00%	9.00%	2.00%
Lausanne-Sport	32.00%	40.00%	16.00%	6.00%	1.00%	3.00%	2.00%	—	—	—
Winterthur	4.00%	2.00%	17.00%	15.00%	14.00%	14.00%	12.00%	13.00%	5.00%	4.00%
Wil	3.00%	4.00%	7.00%	9.00%	15.00%	11.00%	15.00%	14.00%	14.00%	8.00%
Vaduz	3.00%	9.00%	21.00%	14.00%	17.00%	4.00%	19.00%	9.00%	2.00%	2.00%
Schaffhausen	2.00%	2.00%	10.00%	13.00%	16.00%	16.00%	19.00%	9.00%	9.00%	4.00%
Kriens	—	—	2.00%	3.00%	6.00%	4.00%	5.00%	20.00%	25.00%	35.00%
Chiasso	—	—	1.00%	2.00%	2.00%	10.00%	5.00%	14.00%	27.00%	39.00%
Rapperswil-Jona	1.00%	3.00%	12.00%	15.00%	9.00%	19.00%	16.00%	10.00%	9.00%	6.00%

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	Direct promotion	Lost promotion playoff	Same level	Direct relegation
Servette	52.00%	33.00%	15.00%	—
Lausanne-Sport	32.00%	40.00%	28.00%	—
Vaduz	3.00%	9.00%	86.00%	2.00%
Aarau	—	100%	—	—
Winterthur	4.00%	2.00%	90.00%	4.00%
Schaffhausen	2.00%	2.00%	92.00%	4.00%
Rapperswil-Jona	1.00%	3.00%	90.00%	6.00%
Wil	3.00%	4.00%	85.00%	8.00%
Kriens	—	—	65.00%	35.00%
Chiasso	—	—	61.00%	39.00%

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
2018-07-20	Kriens	D 1-1	57.9	1500	1344	60.28%	22.67%	17.05%	+1.35	-1.8	1
2018-07-20	@ Lausanne-Sport	D 1-1	57.9	1344	1500	17.05%	22.67%	60.28%	-1.35	+1.8	1
2018-07-21	Schaffhausen	W 3-0	41.2	1463	1467	40.32%	26.43%	33.25%	+0.24	+17.9	3
2018-07-21	@ Rapperswil-Jona	L 0-3	41.2	1467	1463	33.25%	26.43%	40.32%	-0.24	-17.9	0
2018-07-21	Servette	L 0-2	42.0	1419	1477	32.83%	26.41%	40.77%	-0.13	-12.2	0
2018-07-21	@ Aarau	W 2-0	42.0	1477	1419	40.77%	26.41%	32.83%	+0.13	+12.2	3
2018-07-21	Winterthur	W 2-0	38.3	1400	1383	43.29%	26.24%	30.47%	+0.39	+11.5	3
2018-07-21	@ Wil	L 0-2	38.3	1383	1400	30.47%	26.24%	43.29%	-0.39	-11.5	0
2018-07-22	Vaduz	L 1-3	44.9	1378	1486	26.54%	25.73%	47.73%	-0.49	-8.9	0
2018-07-22	@ Chiasso	W 3-1	44.9	1486	1378	47.73%	25.73%	26.54%	+0.49	+8.9	3
2018-07-27	Aarau	W 3-1	46.4	1371	1407	35.77%	26.50%	37.73%	+0.02	+11.8	3
2018-07-27	@ Winterthur	L 1-3	46.4	1407	1371	37.73%	26.50%	35.77%	-0.02	-11.8	0
2018-07-28	Rapperswil-Jona	L 1-4	40.3	1346	1481	23.79%	25.16%	51.05%	-0.67	-11.5	1
2018-07-28	@ Kriens	W 4-1	40.3	1481	1346	51.05%	25.16%	23.79%	+0.67	+11.5	6
2018-07-28	Servette	L 0-3	36.3	1369	1489	25.28%	25.50%	49.22%	-0.57	-14.4	0
2018-07-28	@ Chiasso	W 3-0	36.3	1489	1369	49.22%	25.50%	25.28%	+0.57	+14.4	6
2018-07-28	Wil	W 2-0	39.4	1449	1412	45.93%	25.97%	28.10%	+0.53	+10.8	3
2018-07-28	@ Schaffhausen	L 0-2	39.4	1412	1449	28.10%	25.97%	45.93%	-0.53	-10.8	3
2018-07-29	Lausanne-Sport	L 1-2	57.1	1495	1498	40.49%	26.42%	33.08%	+0.25	-7.2	3
2018-07-29	@ Vaduz	W 2-1	57.1	1498	1495	33.08%	26.42%	40.49%	-0.25	+7.2	4
2018-08-03	Servette	W 2-1	55.7	1401	1503	27.24%	25.85%	46.91%	-0.44	+8.0	6
2018-08-03	@ Wil	L 1-2	55.7	1503	1401	46.91%	25.85%	27.24%	+0.44	-8.0	6
2018-08-04	Chiasso	W 5-1	37.3	1505	1354	59.77%	22.84%	17.39%	+1.32	+11.0	7
2018-08-04	@ Lausanne-Sport	L 1-5	37.3	1354	1505	17.39%	22.84%	59.77%	-1.32	-11.0	0
2018-08-04	Kriens	L 0-2	42.7	1395	1335	49.05%	25.52%	25.42%	+0.69	-16.7	0
2018-08-04	@ Aarau	W 2-0	42.7	1335	1395	25.42%	25.52%	49.05%	-0.69	+16.7	4
2018-08-04	Winterthur	L 0-4	45.3	1492	1383	55.03%	24.25%	20.71%	+1.03	-34.8	6
2018-08-04	@ Rapperswil-Jona	W 4-0	45.3	1383	1492	20.71%	24.25%	55.03%	-1.03	+34.8	6
2018-08-05	Vaduz	W 4-1	48.4	1460	1488	36.81%	26.51%	36.69%	+0.07	+16.3	6
2018-08-05	@ Schaffhausen	L 1-4	48.4	1488	1460	36.69%	26.51%	36.81%	-0.07	-16.3	3
2018-08-10	Schaffhausen	W 2-1	54.2	1343	1476	24.00%	25.21%	50.79%	-0.65	+8.6	3
2018-08-10	@ Chiasso	L 1-2	54.2	1476	1343	50.79%	25.21%	24.00%	+0.65	-8.6	6
2018-08-11	Aarau	W 2-0	37.9	1409	1379	45.04%	26.07%	28.88%	+0.48	+11.1	9
2018-08-11	@ Wil	L 0-2	37.9	1379	1409	28.88%	26.07%	45.04%	-0.48	-11.1	0
2018-08-11	Kriens	D 1-1	55.3	1418	1351	49.80%	25.40%	24.81%	+0.73	-1.0	7
2018-08-11	@ Winterthur	D 1-1	55.3	1351	1418	24.81%	25.40%	49.80%	-0.73	+1.0	5
2018-08-11	Rapperswil-Jona	W 1-0	46.2	1516	1457	48.82%	25.56%	25.62%	+0.68	+5.3	10
2018-08-11	@ Lausanne-Sport	L 0-1	46.2	1457	1516	25.62%	25.56%	48.82%	-0.68	-5.3	6
2018-08-12	Servette	W 1-0	49.3	1472	1495	37.55%	26.50%	35.94%	+0.11	+7.0	6
2018-08-12	@ Vaduz	L 0-1	49.3	1495	1472	35.94%	26.50%	37.55%	-0.11	-7.0	6
2018-08-24	Winterthur	W 2-0	39.4	1488	1417	50.42%	25.28%	24.30%	+0.77	+9.6	9
2018-08-24	@ Servette	L 0-2	39.4	1417	1488	24.30%	25.28%	50.42%	-0.77	-9.6	7
2018-08-25	Chiasso	L 1-2	50.3	1368	1352	43.05%	26.26%	30.69%	+0.38	-7.5	0
2018-08-25	@ Aarau	W 2-1	50.3	1352	1368	30.69%	26.26%	43.05%	-0.38	+7.5	6
2018-08-25	Lausanne-Sport	D 1-1	61.6	1467	1521	33.23%	26.43%	40.34%	-0.11	+0.3	7
2018-08-25	@ Schaffhausen	D 1-1	61.6	1521	1467	40.34%	26.43%	33.23%	+0.11	-0.3	11
2018-08-26	Vaduz	W 2-1	53.7	1452	1479	37.07%	26.51%	36.42%	+0.08	+6.6	9
2018-08-26	@ Rapperswil-Jona	L 1-2	53.7	1479	1452	36.42%	26.51%	37.07%	-0.08	-6.6	6
2018-08-26	Wil	D 1-1	55.1	1352	1420	31.46%	26.32%	42.22%	-0.20	+0.4	6
2018-08-26	@ Kriens	D 1-1	55.1	1420	1352	42.22%	26.32%	31.46%	+0.20	-0.4	10
2018-08-31	Lausanne-Sport	L 0-1	51.7	1498	1521	37.56%	26.50%	35.94%	+0.11	-7.2	9
2018-08-31	@ Servette	W 1-0	51.7	1521	1498	35.94%	26.50%	37.56%	-0.11	+7.2	14
2018-09-01	Aarau	W 2-1	45.3	1459	1360	53.76%	24.57%	21.66%	+0.96	+4.3	12
2018-09-01	@ Rapperswil-Jona	L 1-2	45.3	1360	1459	21.66%	24.57%	53.76%	-0.96	-4.3	0
2018-09-01	Schaffhausen	D 1-1	57.6	1407	1467	32.44%	26.39%	41.17%	-0.15	+0.3	8
2018-09-01	@ Winterthur	D 1-1	57.6	1467	1407	41.17%	26.39%	32.44%	+0.15	-0.3	8
2018-09-02	Kriens	D 2-2	63.0	1472	1353	56.24%	23.93%	19.83%	+1.10	-1.1	7
2018-09-02	@ Vaduz	D 2-2	63.0	1353	1472	19.83%	23.93%	56.24%	-1.10	+1.1	7
2018-09-02	Wil	L 0-2	38.8	1360	1420	32.44%	26.39%	41.17%	-0.15	-12.1	6
2018-09-02	@ Chiasso	W 2-0	38.8	1420	1360	41.17%	26.39%	32.44%	+0.15	+12.1	13
2018-09-21	Aarau	D 1-1	59.3	1528	1356	62.13%	22.00%	15.86%	+1.47	-1.9	15
2018-09-21	@ Lausanne-Sport	D 1-1	59.3	1356	1528	15.86%	22.00%	62.13%	-1.47	+1.9	1
2018-09-22	Chiasso	D 1-1	54.0	1354	1347	41.78%	26.35%	31.87%	+0.32	-0.4	8
2018-09-22	@ Kriens	D 1-1	54.0	1347	1354	31.87%	26.35%	41.78%	-0.32	+0.4	7
2018-09-22	Rapperswil-Jona	W 2-1	52.6	1432	1463	36.44%	26.51%	37.05%	+0.05	+6.7	16
2018-09-22	@ Wil	L 1-2	52.6	1463	1432	37.05%	26.51%	36.44%	-0.05	-6.7	12
2018-09-22	Servette	D 1-1	60.4	1467	1491	37.54%	26.50%	35.96%	+0.11	-0.1	9
2018-09-22	@ Schaffhausen	D 1-1	60.4	1491	1467	35.96%	26.50%	37.54%	-0.11	+0.0	10
2018-09-23	Winterthur	L 0-1	50.0	1471	1408	49.41%	25.46%	25.13%	+0.71	-8.9	7
2018-09-23	@ Vaduz	W 1-0	50.0	1408	1471	25.13%	25.46%	49.41%	-0.71	+8.9	11
2018-09-25	Kriens	D 1-1	57.7	1491	1353	58.28%	23.32%	18.39%	+1.23	-1.6	11
2018-09-25	@ Servette	D 1-1	57.7	1353	1491	18.39%	23.32%	58.28%	-1.23	+1.6	9
2018-09-25	Rapperswil-Jona	L 0-1	41.2	1348	1456	26.54%	25.73%	47.72%	-0.49	-5.5	7
2018-09-25	@ Chiasso	W 1-0	41.2	1456	1348	47.72%	25.73%	26.54%	+0.49	+5.5	15
2018-09-25	Schaffhausen	W 3-1	50.3	1358	1467	26.45%	25.72%	47.84%	-0.49	+14.1	4
2018-09-25	@ Aarau	L 1-3	50.3	1467	1358	47.84%	25.72%	26.45%	+0.49	-14.1	9
2018-09-26	Lausanne-Sport	W 2-1	57.3	1417	1526	26.38%	25.70%	47.92%	-0.50	+8.2	14
2018-09-26	@ Winterthur	L 1-2	57.3	1526	1417	47.92%	25.70%	26.38%	+0.50	-8.2	15
2018-09-26	Vaduz	D 0-0	54.1	1438	1462	37.51%	26.50%	35.98%	+0.11	-0.1	17
2018-09-26	@ Wil	D 0-0	54.1	1462	1438	35.98%	26.50%	37.51%	-0.11	+0.1	8
2018-09-28	Schaffhausen	L 0-1	41.7	1355	1453	27.76%	25.92%	46.32%	-0.41	-5.7	9
2018-09-28	@ Kriens	W 1-0	41.7	1453	1355	46.32%	25.92%	27.76%	+0.41	+5.7	12
2018-09-29	Chiasso	L 0-1	47.8	1425	1342	51.80%	25.01%	23.19%	+0.84	-9.2	14
2018-09-29	@ Winterthur	W 1-0	47.8	1342	1425	23.19%	25.01%	51.80%	-0.84	+9.2	10
2018-09-29	Servette	D 1-1	60.2	1462	1489	36.98%	26.51%	36.51%	+0.08	-0.0	16
2018-09-29	@ Rapperswil-Jona	D 1-1	60.2	1489	1462	36.51%	26.51%	36.98%	-0.08	+0.0	12
2018-09-29	Wil	D 2-2	66.8	1518	1438	51.49%	25.08%	23.44%	+0.83	-0.8	16
2018-09-29	@ Lausanne-Sport	D 2-2	66.8	1438	1518	23.44%	25.08%	51.49%	-0.83	+0.8	18
2018-09-30	Aarau	W 2-1	46.0	1462	1372	52.78%	24.80%	22.42%	+0.90	+4.5	11
2018-09-30	@ Vaduz	L 1-2	46.0	1372	1462	22.42%	24.80%	52.78%	-0.90	-4.4	4
2018-10-05	Rapperswil-Jona	W 1-0	46.8	1459	1462	40.44%	26.42%	33.13%	+0.25	+6.5	15
2018-10-05	@ Schaffhausen	L 0-1	46.8	1462	1459	33.13%	26.42%	40.44%	-0.25	-6.5	16
2018-10-06	Vaduz	D 2-2	62.3	1349	1467	25.58%	25.56%	48.86%	-0.55	+0.7	10
2018-10-06	@ Kriens	D 2-2	62.3	1467	1349	48.86%	25.56%	25.58%	+0.55	-0.7	12
2018-10-07	Lausanne-Sport	D 1-1	58.1	1352	1517	20.82%	24.29%	54.89%	-0.89	+1.4	11
2018-10-07	@ Chiasso	D 1-1	58.1	1517	1352	54.89%	24.29%	20.82%	+0.89	-1.4	17
2018-10-07	Wil	W 2-0	41.1	1489	1439	47.65%	25.74%	26.61%	+0.62	+10.3	15
2018-10-07	@ Servette	L 0-2	41.1	1439	1489	26.61%	25.74%	47.65%	-0.62	-10.3	18
2018-10-07	Winterthur	L 2-3	54.2	1367	1415	34.08%	26.46%	39.46%	-0.06	-6.0	4
2018-10-07	@ Aarau	W 3-2	54.2	1415	1367	39.46%	26.46%	34.08%	+0.06	+6.0	17
2018-10-19	Vaduz	W 2-1	53.0	1421	1466	34.55%	26.48%	38.97%	-0.04	+6.9	20
2018-10-19	@ Winterthur	L 1-2	53.0	1466	1421	38.97%	26.48%	34.55%	+0.04	-7.0	12
2018-10-20	Aarau	W 3-1	41.6	1499	1361	58.37%	23.30%	18.33%	+1.23	+6.4	18
2018-10-20	@ Servette	L 1-3	41.6	1361	1499	18.33%	23.30%	58.37%	-1.23	-6.4	4
2018-10-20	Kriens	L 1-2	54.8	1455	1350	54.55%	24.38%	21.07%	+1.00	-9.1	16
2018-10-20	@ Rapperswil-Jona	W 2-1	54.8	1350	1455	21.07%	24.38%	54.55%	-1.00	+9.1	13
2018-10-20	Schaffhausen	W 2-0	42.9	1516	1465	47.79%	25.72%	26.49%	+0.63	+10.3	20
2018-10-20	@ Lausanne-Sport	L 0-2	42.9	1465	1516	26.49%	25.72%	47.79%	-0.63	-10.3	15
2018-10-21	Chiasso	W 3-1	41.9	1429	1353	51.00%	25.17%	23.83%	+0.80	+8.1	21
2018-10-21	@ Wil	L 1-3	41.9	1353	1429	23.83%	25.17%	51.00%	-0.80	-8.2	11
2018-10-26	Wil	W 2-0	42.6	1355	1437	29.66%	26.16%	44.18%	-0.30	+15.3	7
2018-10-26	@ Aarau	L 0-2	42.6	1437	1355	44.18%	26.16%	29.66%	+0.30	-15.3	21
2018-10-27	Lausanne-Sport	D 2-2	67.0	1446	1526	29.86%	26.18%	43.96%	-0.29	+0.4	17
2018-10-27	@ Rapperswil-Jona	D 2-2	67.0	1526	1446	43.96%	26.18%	29.86%	+0.29	-0.4	21
2018-10-27	Servette	L 2-3	52.3	1359	1506	22.59%	24.85%	52.56%	-0.75	-4.3	13
2018-10-27	@ Kriens	W 3-2	52.3	1506	1359	52.56%	24.85%	22.59%	+0.75	+4.2	21
2018-10-27	Winterthur	D 2-2	63.9	1455	1428	44.53%	26.13%	29.35%	+0.45	-0.4	16
2018-10-27	@ Schaffhausen	D 2-2	63.9	1428	1455	29.35%	26.13%	44.53%	-0.45	+0.4	21
2018-10-28	Chiasso	W 4-2	45.2	1459	1345	55.65%	24.09%	20.26%	+1.07	+6.3	15
2018-10-28	@ Vaduz	L 2-4	45.2	1345	1459	20.26%	24.09%	55.65%	-1.07	-6.3	11
2018-11-03	Vaduz	L 1-2	59.4	1526	1465	49.05%	25.52%	25.42%	+0.69	-8.3	21
2018-11-03	@ Lausanne-Sport	W 2-1	59.4	1465	1526	25.42%	25.52%	49.05%	-0.69	+8.3	18
2018-11-04	Aarau	L 2-3	53.6	1338	1370	36.33%	26.51%	37.17%	+0.05	-6.3	11
2018-11-04	@ Chiasso	W 3-2	53.6	1370	1338	37.17%	26.51%	36.33%	-0.05	+6.3	10
2018-11-04	Kriens	D 1-1	55.5	1422	1355	49.83%	25.39%	24.78%	+0.74	-1.0	22
2018-11-04	@ Wil	D 1-1	55.5	1355	1422	24.78%	25.39%	49.83%	-0.74	+1.0	14
2018-11-04	Rapperswil-Jona	W 3-2	56.9	1429	1446	38.38%	26.49%	35.13%	+0.15	+6.1	24
2018-11-04	@ Winterthur	L 2-3	56.9	1446	1429	35.13%	26.49%	38.38%	-0.15	-6.1	17
2018-11-04	Schaffhausen	W 3-0	40.1	1510	1454	48.41%	25.63%	25.96%	+0.66	+14.7	24
2018-11-04	@ Servette	L 0-3	40.1	1454	1510	25.96%	25.63%	48.41%	-0.66	-14.7	16
2018-11-09	Servette	L 1-3	48.9	1435	1525	28.70%	26.05%	45.26%	-0.36	-9.5	24
2018-11-09	@ Winterthur	W 3-1	48.9	1525	1435	45.26%	26.05%	28.70%	+0.36	+9.5	27
2018-11-10	Chiasso	W 3-2	49.4	1440	1332	54.85%	24.30%	20.85%	+1.02	+4.0	19
2018-11-10	@ Schaffhausen	L 2-3	49.4	1332	1440	20.85%	24.30%	54.85%	-1.02	-4.0	11
2018-11-11	Lausanne-Sport	D 1-1	58.2	1356	1518	21.19%	24.42%	54.39%	-0.86	+1.3	15
2018-11-11	@ Kriens	D 1-1	58.2	1518	1356	54.39%	24.42%	21.19%	+0.86	-1.3	22
2018-11-11	Rapperswil-Jona	W 3-0	40.4	1377	1440	31.98%	26.36%	41.66%	-0.17	+21.3	13
2018-11-11	@ Aarau	L 0-3	40.4	1440	1377	41.66%	26.36%	31.98%	+0.17	-21.3	17
2018-11-11	Wil	L 0-2	46.3	1474	1421	48.05%	25.68%	26.27%	+0.64	-16.4	18
2018-11-11	@ Vaduz	W 2-0	46.3	1421	1474	26.27%	25.68%	48.05%	-0.64	+16.4	25
2018-11-23	Aarau	L 1-3	50.5	1444	1398	47.11%	25.82%	27.07%	+0.59	-14.0	19
2018-11-23	@ Schaffhausen	W 3-1	50.5	1398	1444	27.07%	25.82%	47.11%	-0.59	+14.0	16
2018-11-24	Vaduz	W 4-1	45.7	1534	1457	51.13%	25.15%	23.72%	+0.81	+11.5	30
2018-11-24	@ Servette	L 1-4	45.7	1457	1534	23.72%	25.15%	51.13%	-0.81	-11.5	18
2018-11-24	Winterthur	W 5-1	42.1	1516	1425	52.85%	24.78%	22.36%	+0.90	+14.1	25
2018-11-24	@ Lausanne-Sport	L 1-5	42.1	1425	1516	22.36%	24.78%	52.85%	-0.90	-14.1	24
2018-11-25	Kriens	D 3-3	63.9	1328	1357	36.75%	26.51%	36.74%	+0.07	+0.0	12
2018-11-25	@ Chiasso	D 3-3	63.9	1357	1328	36.74%	26.51%	36.75%	-0.07	+0.0	16
2018-11-25	Wil	L 0-1	46.3	1419	1437	38.32%	26.49%	35.19%	+0.14	-7.3	17
2018-11-25	@ Rapperswil-Jona	W 1-0	46.3	1437	1419	35.19%	26.49%	38.32%	-0.14	+7.3	28
2018-11-30	Rapperswil-Jona	D 3-3	67.5	1446	1412	45.54%	26.02%	28.44%	+0.51	-0.4	19
2018-11-30	@ Vaduz	D 3-3	67.5	1412	1446	28.44%	26.02%	45.54%	-0.51	+0.4	18
2018-12-01	Winterthur	L 1-2	48.2	1357	1411	33.25%	26.43%	40.32%	-0.11	-6.2	16
2018-12-01	@ Kriens	W 2-1	48.2	1411	1357	40.32%	26.43%	33.25%	+0.11	+6.2	27
2018-12-02	Chiasso	W 5-1	35.7	1546	1328	66.70%	20.14%	13.16%	+1.79	+8.2	33
2018-12-02	@ Servette	L 1-5	35.7	1328	1546	13.16%	20.14%	66.70%	-1.79	-8.2	12
2018-12-02	Lausanne-Sport	D 2-2	66.1	1412	1530	25.45%	25.53%	49.03%	-0.56	+0.7	17
2018-12-02	@ Aarau	D 2-2	66.1	1530	1412	49.03%	25.53%	25.45%	+0.56	-0.7	26
2018-12-02	Schaffhausen	L 1-2	53.7	1444	1430	42.92%	26.27%	30.81%	+0.37	-7.5	28
2018-12-02	@ Wil	W 2-1	53.7	1430	1444	30.81%	26.27%	42.92%	-0.37	+7.5	22
2018-12-07	Vaduz	W 3-1	48.2	1413	1445	36.20%	26.51%	37.29%	+0.04	+11.7	20
2018-12-07	@ Aarau	L 1-3	48.2	1445	1413	37.29%	26.51%	36.20%	-0.04	-11.7	19
2018-12-08	Chiasso	L 0-2	43.7	1412	1320	53.00%	24.75%	22.25%	+0.91	-17.8	18
2018-12-08	@ Rapperswil-Jona	W 2-0	43.7	1320	1412	22.25%	24.75%	53.00%	-0.91	+17.8	15
2018-12-08	Kriens	W 3-2	50.5	1437	1351	52.26%	24.91%	22.83%	+0.87	+4.3	25
2018-12-08	@ Schaffhausen	L 2-3	50.5	1351	1437	22.83%	24.91%	52.26%	-0.87	-4.3	16
2018-12-08	Servette	D 1-1	65.0	1530	1554	37.42%	26.50%	36.07%	+0.10	-0.0	27
2018-12-08	@ Lausanne-Sport	D 1-1	65.0	1554	1530	36.07%	26.50%	37.42%	-0.10	+0.0	34
2018-12-09	Wil	D 0-0	52.7	1418	1437	38.12%	26.50%	35.38%	+0.13	-0.1	28
2018-12-09	@ Winterthur	D 0-0	52.7	1437	1418	35.38%	26.50%	38.12%	-0.13	+0.1	29
2018-12-14	Rapperswil-Jona	W 4-1	41.2	1554	1394	60.75%	22.50%	16.74%	+1.38	+8.2	37
2018-12-14	@ Servette	L 1-4	41.2	1394	1554	16.74%	22.50%	60.75%	-1.38	-8.2	18
2018-12-15	Aarau	L 1-2	47.3	1347	1424	30.22%	26.22%	43.57%	-0.27	-5.7	16
2018-12-15	@ Kriens	W 2-1	47.3	1424	1347	43.57%	26.22%	30.22%	+0.27	+5.7	23
2018-12-16	Lausanne-Sport	L 0-2	43.1	1437	1530	28.37%	26.01%	45.62%	-0.38	-10.9	29
2018-12-16	@ Wil	W 2-0	43.1	1530	1437	45.62%	26.01%	28.37%	+0.38	+10.9	30
2018-12-16	Schaffhausen	D 1-1	57.6	1434	1441	39.78%	26.45%	33.76%	+0.22	-0.2	20
2018-12-16	@ Vaduz	D 1-1	57.6	1441	1434	33.76%	26.45%	39.78%	-0.22	+0.2	26
2018-12-16	Winterthur	L 1-3	43.5	1338	1417	29.95%	26.19%	43.86%	-0.28	-9.9	15
2018-12-16	@ Chiasso	W 3-1	43.5	1417	1338	43.86%	26.19%	29.95%	+0.28	+9.9	31
2019-02-01	Wil	W 3-1	46.6	1430	1426	41.41%	26.37%	32.22%	+0.30	+10.4	26
2019-02-01	@ Aarau	L 1-3	46.6	1426	1430	32.22%	26.37%	41.41%	-0.30	-10.4	29
2019-02-02	Chiasso	L 0-2	44.9	1442	1328	55.58%	24.11%	20.31%	+1.06	-18.5	26
2019-02-02	@ Schaffhausen	W 2-0	44.9	1328	1442	20.31%	24.11%	55.58%	-1.06	+18.5	18
2019-02-02	Vaduz	W 2-0	40.6	1562	1434	57.32%	23.62%	19.06%	+1.17	+7.7	40
2019-02-02	@ Servette	L 0-2	40.6	1434	1562	19.06%	23.62%	57.32%	-1.17	-7.7	20
2019-02-08	Lausanne-Sport	D 2-2	67.0	1426	1541	25.86%	25.61%	48.54%	-0.53	+0.7	21
2019-02-08	@ Vaduz	D 2-2	67.0	1541	1426	48.54%	25.61%	25.86%	+0.53	-0.7	31
2019-02-09	Aarau	L 1-2	49.5	1386	1440	33.24%	26.43%	40.34%	-0.11	-6.2	18
2019-02-09	@ Rapperswil-Jona	W 2-1	49.5	1440	1386	40.34%	26.43%	33.24%	+0.11	+6.2	29
2019-02-09	Winterthur	W 2-0	42.2	1341	1427	29.14%	26.10%	44.76%	-0.33	+15.5	19
2019-02-09	@ Kriens	L 0-2	42.2	1427	1341	44.76%	26.10%	29.14%	+0.33	-15.5	31
2019-02-10	Schaffhausen	D 1-1	56.6	1416	1423	39.82%	26.45%	33.73%	+0.22	-0.2	30
2019-02-10	@ Wil	D 1-1	56.6	1423	1416	33.73%	26.45%	39.82%	-0.22	+0.2	27
2019-02-10	Servette	W 2-1	59.4	1346	1570	16.34%	22.28%	61.38%	-1.29	+10.0	21
2019-02-10	@ Chiasso	L 1-2	59.4	1570	1346	61.38%	22.28%	16.34%	+1.29	-10.0	40
2019-02-13	Kriens	W 3-2	50.1	1540	1357	63.26%	21.57%	15.17%	+1.55	+2.9	34
2019-02-13	@ Lausanne-Sport	L 2-3	50.1	1357	1540	15.17%	21.57%	63.26%	-1.55	-2.9	19
2019-02-15	Vaduz	W 3-0	38.9	1412	1427	38.79%	26.48%	34.73%	+0.17	+18.5	34
2019-02-15	@ Winterthur	L 0-3	38.9	1427	1412	34.73%	26.48%	38.79%	-0.17	-18.5	21
2019-02-16	Kriens	L 1-2	53.1	1423	1354	50.21%	25.32%	24.46%	+0.76	-8.5	27
2019-02-16	@ Schaffhausen	W 2-1	53.1	1354	1423	24.46%	25.32%	50.21%	-0.76	+8.5	22
2019-02-16	Rapperswil-Jona	W 1-0	40.7	1543	1380	61.09%	22.38%	16.53%	+1.40	+3.5	37
2019-02-16	@ Lausanne-Sport	L 0-1	40.7	1380	1543	16.53%	22.38%	61.09%	-1.40	-3.5	18
2019-02-16	Wil	D 0-0	57.8	1560	1415	59.09%	23.07%	17.85%	+1.28	-1.9	41
2019-02-16	@ Servette	D 0-0	57.8	1415	1560	17.85%	23.07%	59.09%	-1.28	+1.9	31
2019-02-17	Chiasso	W 1-0	39.7	1447	1356	52.75%	24.81%	22.45%	+0.90	+4.7	32
2019-02-17	@ Aarau	L 0-1	39.7	1356	1447	22.45%	24.81%	52.75%	-0.90	-4.7	21
2019-02-20	Rapperswil-Jona	W 2-0	37.3	1430	1376	48.16%	25.67%	26.17%	+0.65	+10.2	37
2019-02-20	@ Winterthur	L 0-2	37.3	1376	1430	26.17%	25.67%	48.16%	-0.65	-10.2	18
2019-02-22	Lausanne-Sport	D 1-1	61.0	1417	1546	24.35%	25.29%	50.36%	-0.63	+1.0	32
2019-02-22	@ Wil	D 1-1	61.0	1546	1417	50.36%	25.29%	24.35%	+0.63	-1.0	38
2019-02-23	Schaffhausen	W 2-0	41.0	1366	1415	33.99%	26.46%	39.55%	-0.07	+14.1	21
2019-02-23	@ Rapperswil-Jona	L 0-2	41.0	1415	1366	39.55%	26.46%	33.99%	+0.07	-14.1	27
2019-02-23	Servette	L 0-3	35.5	1362	1558	18.35%	23.30%	58.35%	-1.09	-10.7	22
2019-02-23	@ Kriens	W 3-0	35.5	1558	1362	58.35%	23.30%	18.35%	+1.09	+10.7	44
2019-02-23	Winterthur	D 1-1	55.6	1352	1441	28.83%	26.07%	45.10%	-0.35	+0.6	22
2019-02-23	@ Chiasso	D 1-1	55.6	1441	1352	45.10%	26.07%	28.83%	+0.35	-0.6	38
2019-02-24	Aarau	W 2-0	42.7	1408	1451	34.72%	26.48%	38.80%	-0.03	+13.9	24
2019-02-24	@ Vaduz	L 0-2	42.7	1451	1408	38.80%	26.48%	34.72%	+0.03	-13.9	32
2019-03-01	Servette	D 3-3	72.8	1437	1569	24.11%	25.24%	50.65%	-0.64	+0.6	33
2019-03-01	@ Aarau	D 3-3	72.8	1569	1437	50.65%	25.24%	24.11%	+0.64	-0.7	45
2019-03-02	Vaduz	D 1-1	56.2	1401	1422	37.90%	26.50%	35.60%	+0.12	-0.1	28
2019-03-02	@ Schaffhausen	D 1-1	56.2	1422	1401	35.60%	26.50%	37.90%	-0.12	+0.1	25
2019-03-02	Wil	W 4-0	38.8	1380	1418	35.47%	26.50%	38.03%	+0.01	+25.9	24
2019-03-02	@ Rapperswil-Jona	L 0-4	38.8	1418	1380	38.03%	26.50%	35.47%	-0.01	-25.9	32
2019-03-03	Kriens	D 2-2	59.9	1352	1351	41.00%	26.40%	32.60%	+0.28	-0.2	23
2019-03-03	@ Chiasso	D 2-2	59.9	1351	1352	32.60%	26.40%	41.00%	-0.28	+0.2	23
2019-03-03	Lausanne-Sport	D 1-1	61.6	1440	1545	26.89%	25.79%	47.32%	-0.46	+0.8	39
2019-03-03	@ Winterthur	D 1-1	61.6	1545	1440	47.32%	25.79%	26.89%	+0.46	-0.8	39
2019-03-08	Winterthur	W 1-0	46.0	1392	1441	34.05%	26.46%	39.49%	-0.07	+7.5	35
2019-03-08	@ Wil	L 0-1	46.0	1441	1392	39.49%	26.46%	34.05%	+0.07	-7.5	39
2019-03-09	Aarau	D 0-0	57.7	1544	1438	54.71%	24.34%	20.95%	+1.01	-1.5	40
2019-03-09	@ Lausanne-Sport	D 0-0	57.7	1438	1544	20.95%	24.34%	54.71%	-1.01	+1.5	34
2019-03-09	Rapperswil-Jona	W 2-1	50.2	1352	1406	33.18%	26.43%	40.39%	-0.11	+7.1	26
2019-03-09	@ Kriens	L 1-2	50.2	1406	1352	40.39%	26.43%	33.18%	+0.11	-7.1	24
2019-03-10	Chiasso	W 1-0	39.8	1422	1352	50.21%	25.32%	24.46%	+0.76	+5.1	28
2019-03-10	@ Vaduz	L 0-1	39.8	1352	1422	24.46%	25.32%	50.21%	-0.76	-5.1	23
2019-03-10	Schaffhausen	W 6-1	40.1	1568	1401	61.57%	22.21%	16.22%	+1.44	+12.6	48
2019-03-10	@ Servette	L 1-6	40.1	1401	1568	16.22%	22.21%	61.57%	-1.44	-12.6	28
2019-03-15	Vaduz	W 2-1	51.2	1359	1427	31.39%	26.32%	42.29%	-0.21	+7.4	29
2019-03-15	@ Kriens	L 1-2	51.2	1427	1359	42.29%	26.32%	31.39%	+0.21	-7.4	28
2019-03-16	Lausanne-Sport	L 0-2	39.4	1388	1543	21.82%	24.62%	53.56%	-0.81	-8.7	28
2019-03-16	@ Schaffhausen	W 2-0	39.4	1543	1388	53.56%	24.62%	21.82%	+0.81	+8.7	43
2019-03-16	Servette	L 1-2	49.5	1399	1581	19.49%	23.79%	56.72%	-0.99	-3.9	24
2019-03-16	@ Rapperswil-Jona	W 2-1	49.5	1581	1399	56.72%	23.79%	19.49%	+0.99	+3.9	51
2019-03-17	Aarau	L 0-1	47.3	1433	1440	39.97%	26.44%	33.58%	+0.23	-7.5	39
2019-03-17	@ Winterthur	W 1-0	47.3	1440	1433	33.58%	26.44%	39.97%	-0.23	+7.5	37
2019-03-17	Wil	W 3-1	46.5	1347	1400	33.42%	26.44%	40.15%	-0.10	+12.3	26
2019-03-17	@ Chiasso	L 1-3	46.5	1400	1347	40.15%	26.44%	33.42%	+0.10	-12.3	35
2019-03-29	Winterthur	W 5-2	46.5	1585	1426	60.67%	22.53%	16.80%	+1.38	+7.2	54
2019-03-29	@ Servette	L 2-5	46.5	1426	1585	16.80%	22.53%	60.67%	-1.38	-7.2	39
2019-03-30	Chiasso	D 1-1	60.4	1552	1359	64.18%	21.21%	14.61%	+1.61	-2.1	44
2019-03-30	@ Lausanne-Sport	D 1-1	60.4	1359	1552	14.61%	21.21%	64.18%	-1.61	+2.1	27
2019-03-30	Kriens	L 0-1	45.5	1388	1366	43.83%	26.19%	29.98%	+0.42	-8.1	35
2019-03-30	@ Wil	W 1-0	45.5	1366	1388	29.98%	26.19%	43.83%	-0.42	+8.1	32
2019-03-30	Rapperswil-Jona	W 3-2	53.5	1420	1395	44.25%	26.15%	29.60%	+0.44	+5.4	31
2019-03-30	@ Vaduz	L 2-3	53.5	1395	1420	29.60%	26.15%	44.25%	-0.44	-5.4	24
2019-03-30	Schaffhausen	W 3-2	52.1	1447	1379	49.94%	25.37%	24.69%	+0.74	+4.6	40
2019-03-30	@ Aarau	L 2-3	52.1	1379	1447	24.69%	25.37%	49.94%	-0.74	-4.6	28
2019-04-02	Aarau	D 2-2	62.3	1374	1452	30.22%	26.22%	43.56%	-0.27	+0.4	33
2019-04-02	@ Kriens	D 2-2	62.3	1452	1374	43.56%	26.22%	30.22%	+0.27	-0.4	41
2019-04-02	Wil	D 1-1	55.9	1425	1380	47.07%	25.82%	27.11%	+0.59	-0.8	32
2019-04-02	@ Vaduz	D 1-1	55.9	1380	1425	27.11%	25.82%	47.07%	-0.59	+0.8	36
2019-04-02	Winterthur	L 1-3	45.8	1375	1419	34.68%	26.48%	38.84%	-0.03	-11.1	28
2019-04-02	@ Schaffhausen	W 3-1	45.8	1419	1375	38.84%	26.48%	34.68%	+0.03	+11.0	42
2019-04-03	Chiasso	D 0-0	50.5	1390	1361	44.80%	26.10%	29.10%	+0.47	-0.7	25
2019-04-03	@ Rapperswil-Jona	D 0-0	50.5	1361	1390	29.10%	26.10%	44.80%	-0.47	+0.7	28
2019-04-03	Servette	L 0-2	51.3	1550	1592	34.89%	26.49%	38.62%	-0.02	-12.8	44
2019-04-03	@ Lausanne-Sport	W 2-0	51.3	1592	1550	38.62%	26.49%	34.89%	+0.02	+12.8	57
2019-04-05	Kriens	D 0-0	51.7	1430	1375	48.31%	25.64%	26.05%	+0.65	-1.0	43
2019-04-05	@ Winterthur	D 0-0	51.7	1375	1430	26.05%	25.64%	48.31%	-0.65	+1.0	34
2019-04-06	Lausanne-Sport	L 0-1	43.3	1389	1537	22.50%	24.82%	52.68%	-0.76	-4.7	25
2019-04-06	@ Rapperswil-Jona	W 1-0	43.3	1537	1389	52.68%	24.82%	22.50%	+0.76	+4.7	47
2019-04-06	Schaffhausen	D 2-2	60.3	1362	1364	40.63%	26.41%	32.96%	+0.26	-0.2	29
2019-04-06	@ Chiasso	D 2-2	60.3	1364	1362	32.96%	26.41%	40.63%	-0.26	+0.2	29
2019-04-06	Servette	D 1-1	62.7	1380	1605	16.29%	22.25%	61.46%	-1.29	+1.9	37
2019-04-06	@ Wil	D 1-1	62.7	1605	1380	61.46%	22.25%	16.29%	+1.29	-1.9	58
2019-04-06	Vaduz	W 3-0	38.2	1451	1424	44.62%	26.12%	29.26%	+0.46	+16.2	44
2019-04-06	@ Aarau	L 0-3	38.2	1424	1451	29.26%	26.12%	44.62%	-0.46	-16.2	32
2019-04-12	Winterthur	D 2-2	64.4	1468	1429	46.21%	25.94%	27.86%	+0.54	-0.5	45
2019-04-12	@ Aarau	D 2-2	64.4	1429	1468	27.86%	25.94%	46.21%	-0.54	+0.5	44
2019-04-13	Rapperswil-Jona	L 0-2	40.0	1364	1384	37.98%	26.50%	35.52%	+0.13	-13.6	29
2019-04-13	@ Schaffhausen	W 2-0	40.0	1384	1364	35.52%	26.50%	37.98%	-0.13	+13.6	28
2019-04-13	Wil	W 2-0	37.0	1542	1382	60.73%	22.51%	16.76%	+1.38	+6.7	50
2019-04-13	@ Lausanne-Sport	L 0-2	37.0	1382	1542	16.76%	22.51%	60.73%	-1.38	-6.7	37
2019-04-14	Chiasso	W 3-2	50.8	1603	1362	68.92%	19.13%	11.95%	+1.95	+2.2	61
2019-04-14	@ Servette	L 2-3	50.8	1362	1603	11.95%	19.13%	68.92%	-1.95	-2.2	29
2019-04-14	Kriens	W 3-2	52.5	1408	1376	45.32%	26.04%	28.64%	+0.50	+5.2	35
2019-04-14	@ Vaduz	L 2-3	52.5	1376	1408	28.64%	26.04%	45.32%	-0.50	-5.2	34
2019-04-20	Lausanne-Sport	L 0-5	36.2	1360	1548	18.92%	23.56%	57.53%	-1.04	-17.8	29
2019-04-20	@ Chiasso	W 5-0	36.2	1548	1360	57.53%	23.56%	18.92%	+1.04	+17.8	53
2019-04-20	Schaffhausen	L 1-2	50.5	1370	1350	43.65%	26.21%	30.14%	+0.41	-7.6	34
2019-04-20	@ Kriens	W 2-1	50.5	1350	1370	30.14%	26.21%	43.65%	-0.41	+7.6	32
2019-04-20	Servette	L 2-3	57.2	1429	1605	19.97%	23.98%	56.04%	-0.95	-3.8	44
2019-04-20	@ Winterthur	W 3-2	57.2	1605	1429	56.04%	23.98%	19.97%	+0.95	+3.8	64
2019-04-20	Vaduz	W 4-1	43.6	1398	1413	38.74%	26.48%	34.77%	+0.17	+15.7	31
2019-04-20	@ Rapperswil-Jona	L 1-4	43.6	1413	1398	34.77%	26.48%	38.74%	-0.17	-15.7	35
2019-04-22	Aarau	L 0-4	36.9	1375	1467	28.48%	26.02%	45.49%	-0.37	-20.8	37
2019-04-22	@ Wil	W 4-0	36.9	1467	1375	45.49%	26.02%	28.48%	+0.37	+20.8	48
2019-04-26	Winterthur	W 4-1	43.4	1566	1425	58.67%	23.20%	18.13%	+1.25	+8.9	56
2019-04-26	@ Lausanne-Sport	L 1-4	43.4	1425	1566	18.13%	23.20%	58.67%	-1.25	-8.9	44
2019-04-27	Aarau	L 1-2	64.9	1609	1488	56.41%	23.88%	19.71%	+1.11	-9.4	64
2019-04-27	@ Servette	W 2-1	64.9	1488	1609	19.71%	23.88%	56.41%	-1.11	+9.4	51
2019-04-27	Schaffhausen	L 0-2	42.4	1398	1358	46.28%	25.93%	27.79%	+0.55	-15.9	35
2019-04-27	@ Vaduz	W 2-0	42.4	1358	1398	27.79%	25.93%	46.28%	-0.55	+15.9	35
2019-04-28	Chiasso	D 0-0	49.7	1363	1342	43.78%	26.20%	30.03%	+0.42	-0.6	35
2019-04-28	@ Kriens	D 0-0	49.7	1342	1363	30.03%	26.20%	43.78%	-0.42	+0.6	30
2019-04-28	Rapperswil-Jona	D 1-1	55.0	1355	1414	32.58%	26.39%	41.02%	-0.14	+0.3	38
2019-04-28	@ Wil	D 1-1	55.0	1414	1355	41.02%	26.39%	32.58%	+0.14	-0.3	32
2019-05-03	Kriens	W 1-0	40.6	1413	1362	47.82%	25.72%	26.46%	+0.63	+5.5	35
2019-05-03	@ Rapperswil-Jona	L 0-1	40.6	1362	1413	26.46%	25.72%	47.82%	-0.63	-5.5	35
2019-05-04	Lausanne-Sport	W 3-0	49.5	1497	1575	30.18%	26.21%	43.61%	-0.27	+22.0	54
2019-05-04	@ Aarau	L 0-3	49.5	1575	1497	43.61%	26.21%	30.18%	+0.27	-22.0	56
2019-05-04	Servette	L 0-2	38.5	1374	1599	16.21%	22.21%	61.58%	-1.30	-6.5	35
2019-05-04	@ Schaffhausen	W 2-0	38.5	1599	1374	61.58%	22.21%	16.21%	+1.30	+6.5	67
2019-05-04	Vaduz	L 1-2	48.1	1342	1382	35.31%	26.49%	38.20%	+0.00	-6.5	30
2019-05-04	@ Chiasso	W 2-1	48.1	1382	1342	38.20%	26.49%	35.31%	+0.00	+6.5	38
2019-05-04	Wil	W 2-0	36.3	1416	1355	49.16%	25.51%	25.34%	+0.70	+9.9	47
2019-05-04	@ Winterthur	L 0-2	36.3	1355	1416	25.34%	25.51%	49.16%	-0.70	-9.9	38
2019-05-10	Lausanne-Sport	W 3-1	54.9	1606	1553	48.04%	25.68%	26.27%	+0.64	+8.9	70
2019-05-10	@ Servette	L 1-3	54.9	1553	1606	26.27%	25.68%	48.04%	-0.64	-8.9	56
2019-05-11	Aarau	L 1-2	47.3	1367	1519	22.10%	24.70%	53.19%	-0.79	-4.4	35
2019-05-11	@ Schaffhausen	W 2-1	47.3	1519	1367	53.19%	24.70%	22.10%	+0.79	+4.4	57
2019-05-11	Rapperswil-Jona	W 2-1	51.2	1336	1419	29.55%	26.15%	44.31%	-0.31	+7.7	33
2019-05-11	@ Chiasso	L 1-2	51.2	1419	1336	44.31%	26.15%	29.55%	+0.31	-7.7	35
2019-05-11	Wil	L 1-2	49.9	1357	1345	42.51%	26.30%	31.19%	+0.35	-7.4	35
2019-05-11	@ Kriens	W 2-1	49.9	1345	1357	31.19%	26.30%	42.51%	-0.35	+7.4	41
2019-05-11	Winterthur	W 1-0	45.2	1388	1426	35.43%	26.50%	38.07%	+0.00	+7.2	41
2019-05-11	@ Vaduz	L 0-1	45.2	1426	1388	38.07%	26.50%	35.43%	+0.00	-7.2	47
2019-05-15	Kriens	D 1-1	58.9	1524	1349	62.31%	21.94%	15.75%	+1.48	-1.9	58
2019-05-15	@ Aarau	D 1-1	58.9	1349	1524	15.75%	21.94%	62.31%	-1.48	+1.9	36
2019-05-15	Schaffhausen	D 0-0	55.8	1544	1363	63.02%	21.67%	15.31%	+1.53	-2.2	57
2019-05-15	@ Lausanne-Sport	D 0-0	55.8	1363	1544	15.31%	21.67%	63.02%	-1.53	+2.2	36
2019-05-16	Chiasso	W 2-0	35.6	1419	1344	50.93%	25.19%	23.89%	+0.80	+9.4	50
2019-05-16	@ Winterthur	L 0-2	35.6	1344	1419	23.89%	25.19%	50.93%	-0.80	-9.4	33
2019-05-16	Rapperswil-Jona	W 5-3	51.4	1615	1411	65.31%	20.74%	13.95%	+1.69	+4.0	73
2019-05-16	@ Servette	L 3-5	51.4	1411	1615	13.95%	20.74%	65.31%	-1.69	-4.0	35
2019-05-16	Vaduz	D 1-1	54.6	1352	1395	34.79%	26.48%	38.73%	-0.03	+0.1	42
2019-05-16	@ Wil	D 1-1	54.6	1395	1352	38.73%	26.48%	34.79%	+0.03	-0.1	42
2019-05-23	Aarau	L 0-1	39.7	1334	1522	19.01%	23.60%	57.39%	-1.04	-4.0	33
2019-05-23	@ Chiasso	W 1-0	39.7	1522	1334	57.39%	23.60%	19.01%	+1.04	+4.0	61
2019-05-23	Lausanne-Sport	L 0-2	36.9	1351	1542	18.76%	23.49%	57.75%	-1.06	-7.5	36
2019-05-23	@ Kriens	W 2-0	36.9	1542	1351	57.75%	23.49%	18.76%	+1.06	+7.5	60
2019-05-23	Servette	L 1-5	42.2	1395	1619	16.34%	22.28%	61.38%	-1.29	-10.4	42
2019-05-23	@ Vaduz	W 5-1	42.2	1619	1395	61.38%	22.28%	16.34%	+1.29	+10.4	76
2019-05-23	Wil	W 2-0	37.3	1365	1353	42.63%	26.29%	31.08%	+0.36	+11.7	39
2019-05-23	@ Schaffhausen	L 0-2	37.3	1353	1365	31.08%	26.29%	42.63%	-0.36	-11.7	42
2019-05-23	Winterthur	L 1-4	45.2	1407	1429	37.84%	26.50%	35.66%	+0.12	-16.7	35
2019-05-23	@ Rapperswil-Jona	W 4-1	45.2	1429	1407	35.66%	26.50%	37.84%	-0.12	+16.7	53
2019-05-26	Chiasso	L 1-2	49.5	1341	1330	42.36%	26.31%	31.33%	+0.34	-7.4	42
2019-05-26	@ Wil	W 2-1	49.5	1330	1341	31.33%	26.31%	42.36%	-0.34	+7.4	36
2019-05-26	Kriens	W 4-1	38.5	1629	1344	72.92%	17.16%	9.92%	+2.26	+4.6	79
2019-05-26	@ Servette	L 1-4	38.5	1344	1629	9.92%	17.16%	72.92%	-2.26	-4.6	36
2019-05-26	Rapperswil-Jona	W 1-0	41.3	1526	1391	58.06%	23.39%	18.55%	+1.21	+4.0	64
2019-05-26	@ Aarau	L 0-1	41.3	1391	1526	18.55%	23.39%	58.06%	-1.21	-4.0	35
2019-05-26	Schaffhausen	W 3-2	51.9	1445	1377	50.02%	25.36%	24.62%	+0.75	+4.6	56
2019-05-26	@ Winterthur	L 2-3	51.9	1377	1445	24.62%	25.36%	50.02%	-0.75	-4.6	39
2019-05-26	Vaduz	W 6-2	41.1	1549	1385	61.28%	22.32%	16.40%	+1.42	+8.8	63
2019-05-26	@ Lausanne-Sport	L 2-6	41.1	1385	1549	16.40%	22.32%	61.28%	-1.42	-8.8	42

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2019-05-30	Aarau	L 0-4	1562	1530	45.28%	26.05%	28.68%	+0.49	-29.7	0
2019-05-30	@ Neuchatel Xamax	W 4-0	1530	1562	28.68%	26.05%	45.28%	-0.49	+29.6	3
2019-06-02	Neuchatel Xamax	L 0-4	1559	1532	44.64%	26.11%	29.25%	+0.46	-29.3	3
2019-06-02	@ Aarau	W 4-0	1532	1559	29.25%	26.11%	44.64%	-0.46	+29.3	3

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	2019-02-10	16.34%	@ Chiasso	1346	2	Servette	1570	1
2	2019-04-27	19.71%	Aarau	1488	2	@ Servette	1609	1
3	2019-02-02	20.31%	Chiasso	1328	2	@ Schaffhausen	1442	0
4	2018-08-04	20.71%	Winterthur	1383	4	@ Rapperswil-Jona	1492	0
5	2018-10-20	21.07%	Kriens	1350	2	@ Rapperswil-Jona	1455	1
6	2018-12-08	22.25%	Chiasso	1320	2	@ Rapperswil-Jona	1412	0
7	2018-09-29	23.19%	Chiasso	1342	1	@ Winterthur	1425	0
8	2018-08-10	24.00%	@ Chiasso	1343	2	Schaffhausen	1476	1
9	2019-02-16	24.46%	Kriens	1354	2	@ Schaffhausen	1423	1
10	2018-09-23	25.13%	Winterthur	1408	1	@ Vaduz	1471	0
11	2018-08-04	25.42%	Kriens	1335	2	@ Aarau	1395	0
12	2018-11-03	25.42%	Vaduz	1465	2	@ Lausanne-Sport	1526	1
13	2018-11-11	26.27%	Wil	1421	2	@ Vaduz	1474	0
14	2018-09-26	26.38%	@ Winterthur	1417	2	Lausanne-Sport	1526	1
15	2018-09-25	26.45%	@ Aarau	1358	3	Schaffhausen	1467	1
16	2018-11-23	27.07%	Aarau	1398	3	@ Schaffhausen	1444	1
17	2018-08-03	27.24%	@ Wil	1401	2	Servette	1503	1
18	2019-04-27	27.79%	Schaffhausen	1358	2	@ Vaduz	1398	0
19	2019-02-09	29.14%	@ Kriens	1341	2	Winterthur	1427	0
20	2019-05-11	29.55%	@ Chiasso	1336	2	Rapperswil-Jona	1419	1
21	2018-10-26	29.66%	@ Aarau	1355	2	Wil	1437	0
22	2019-03-30	29.98%	Kriens	1366	1	@ Wil	1388	0
23	2019-04-20	30.14%	Schaffhausen	1350	2	@ Kriens	1370	1
24	2019-05-04	30.18%	@ Aarau	1497	3	Lausanne-Sport	1575	0
25	2018-08-25	30.69%	Chiasso	1352	2	@ Aarau	1368	1

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2018-08-04	34.80	Winterthur	4	1383	20.71%	@ Rapperswil-Jona	0	1492	55.03%	24.25%
2	2019-03-02	25.92	@ Rapperswil-Jona	4	1380	35.47%	Wil	0	1418	38.03%	26.50%
3	2019-05-04	22.03	@ Aarau	3	1497	30.18%	Lausanne-Sport	0	1575	43.61%	26.21%
4	2018-11-11	21.26	@ Aarau	3	1377	31.98%	Rapperswil-Jona	0	1440	41.66%	26.36%
5	2019-04-22	20.76	Aarau	4	1467	45.49%	@ Wil	0	1375	28.48%	26.02%
6	2019-02-15	18.54	@ Winterthur	3	1412	38.79%	Vaduz	0	1427	34.73%	26.48%
7	2019-02-02	18.50	Chiasso	2	1328	20.31%	@ Schaffhausen	0	1442	55.58%	24.11%
8	2018-07-21	17.95	@ Rapperswil-Jona	3	1463	40.32%	Schaffhausen	0	1467	33.25%	26.43%
9	2018-12-08	17.78	Chiasso	2	1320	22.25%	@ Rapperswil-Jona	0	1412	53.00%	24.75%
10	2019-04-20	17.76	Lausanne-Sport	5	1548	57.53%	@ Chiasso	0	1360	18.92%	23.56%
11	2018-08-04	16.68	Kriens	2	1335	25.42%	@ Aarau	0	1395	49.05%	25.52%
12	2019-05-23	16.67	Winterthur	4	1429	35.66%	@ Rapperswil-Jona	1	1407	37.84%	26.50%
13	2018-11-11	16.40	Wil	2	1421	26.27%	@ Vaduz	0	1474	48.05%	25.68%
14	2018-08-05	16.29	@ Schaffhausen	4	1460	36.81%	Vaduz	1	1488	36.69%	26.51%
15	2019-04-06	16.23	@ Aarau	3	1451	44.62%	Vaduz	0	1424	29.26%	26.12%
16	2019-04-27	15.91	Schaffhausen	2	1358	27.79%	@ Vaduz	0	1398	46.28%	25.93%
17	2019-04-20	15.65	@ Rapperswil-Jona	4	1398	38.74%	Vaduz	1	1413	34.77%	26.48%
18	2019-02-09	15.49	@ Kriens	2	1341	29.14%	Winterthur	0	1427	44.76%	26.10%
19	2018-10-26	15.33	@ Aarau	2	1355	29.66%	Wil	0	1437	44.18%	26.16%
20	2018-11-04	14.72	@ Servette	3	1510	48.41%	Schaffhausen	0	1454	25.96%	25.63%
21	2018-07-28	14.38	Servette	3	1489	49.22%	@ Chiasso	0	1369	25.28%	25.50%
22	2018-09-25	14.15	@ Aarau	3	1358	26.45%	Schaffhausen	1	1467	47.84%	25.72%
23	2019-02-23	14.07	@ Rapperswil-Jona	2	1366	33.99%	Schaffhausen	0	1415	39.55%	26.46%
24	2018-11-24	14.06	@ Lausanne-Sport	5	1516	52.85%	Winterthur	1	1425	22.36%	24.78%
25	2018-11-23	13.98	Aarau	3	1398	27.07%	@ Schaffhausen	1	1444	47.11%	25.82%

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	72.8	@ Aarau	3	1437	24.11%	Servette	3	1569	50.65%	25.24%
2	2018-11-30	67.5	@ Vaduz	3	1446	45.54%	Rapperswil-Jona	3	1412	28.44%	26.02%
3	2018-10-27	67.0	@ Rapperswil-Jona	2	1446	29.86%	Lausanne-Sport	2	1526	43.96%	26.18%
4	2019-02-08	67.0	@ Vaduz	2	1426	25.86%	Lausanne-Sport	2	1541	48.54%	25.61%
5	2018-09-29	66.8	@ Lausanne-Sport	2	1518	51.49%	Wil	2	1438	23.44%	25.08%
6	2018-12-02	66.1	@ Aarau	2	1412	25.45%	Lausanne-Sport	2	1530	49.03%	25.53%
7	2018-12-08	65.0	@ Lausanne-Sport	1	1530	37.42%	Servette	1	1554	36.07%	26.50%
8	2019-04-27	64.9	Aarau	2	1488	19.71%	@ Servette	1	1609	56.41%	23.88%
9	2019-04-12	64.4	@ Aarau	2	1468	46.21%	Winterthur	2	1429	27.86%	25.94%
10	2018-10-27	63.9	@ Schaffhausen	2	1455	44.53%	Winterthur	2	1428	29.35%	26.13%
11	2018-11-25	63.9	@ Chiasso	3	1328	36.75%	Kriens	3	1357	36.74%	26.51%
12	2018-09-02	63.0	@ Vaduz	2	1472	56.24%	Kriens	2	1353	19.83%	23.93%
13	2019-04-06	62.7	@ Wil	1	1380	16.29%	Servette	1	1605	61.46%	22.25%
14	2018-10-06	62.3	@ Kriens	2	1349	25.58%	Vaduz	2	1467	48.86%	25.56%
15	2019-04-02	62.3	@ Kriens	2	1374	30.22%	Aarau	2	1452	43.56%	26.22%
16	2018-08-25	61.6	@ Schaffhausen	1	1467	33.23%	Lausanne-Sport	1	1521	40.34%	26.43%
17	2019-03-03	61.6	@ Winterthur	1	1440	26.89%	Lausanne-Sport	1	1545	47.32%	25.79%
18	2019-02-22	61.0	@ Wil	1	1417	24.35%	Lausanne-Sport	1	1546	50.36%	25.29%
19	2018-09-22	60.4	@ Schaffhausen	1	1467	37.54%	Servette	1	1491	35.96%	26.50%
20	2019-03-30	60.4	@ Lausanne-Sport	1	1552	64.18%	Chiasso	1	1359	14.61%	21.21%
21	2019-04-06	60.3	@ Chiasso	2	1362	40.63%	Schaffhausen	2	1364	32.96%	26.41%
22	2018-09-29	60.2	@ Rapperswil-Jona	1	1462	36.98%	Servette	1	1489	36.51%	26.51%
23	2019-03-03	59.9	@ Chiasso	2	1352	41.00%	Kriens	2	1351	32.60%	26.40%
24	2018-11-03	59.4	Vaduz	2	1465	25.42%	@ Lausanne-Sport	1	1526	49.05%	25.52%
25	2019-02-10	59.4	@ Chiasso	2	1346	16.34%	Servette	1	1570	61.38%	22.28%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2019-02-23	35.5	Servette	3	1558	58.35%	@ Kriens	0	1362	18.35%	23.30%
2	2019-05-16	35.6	@ Winterthur	2	1419	50.93%	Chiasso	0	1344	23.89%	25.19%
3	2018-12-02	35.7	@ Servette	5	1546	66.70%	Chiasso	1	1328	13.16%	20.14%
4	2019-04-20	36.2	Lausanne-Sport	5	1548	57.53%	@ Chiasso	0	1360	18.92%	23.56%
5	2018-07-28	36.3	Servette	3	1489	49.22%	@ Chiasso	0	1369	25.28%	25.50%
6	2019-05-04	36.3	@ Winterthur	2	1416	49.16%	Wil	0	1355	25.34%	25.51%
7	2019-04-22	36.9	Aarau	4	1467	45.49%	@ Wil	0	1375	28.48%	26.02%
8	2019-05-23	36.9	Lausanne-Sport	2	1542	57.75%	@ Kriens	0	1351	18.76%	23.49%
9	2019-04-13	37.0	@ Lausanne-Sport	2	1542	60.73%	Wil	0	1382	16.76%	22.51%
10	2018-08-04	37.3	@ Lausanne-Sport	5	1505	59.77%	Chiasso	1	1354	17.39%	22.84%
11	2019-02-20	37.3	@ Winterthur	2	1430	48.16%	Rapperswil-Jona	0	1376	26.17%	25.67%
12	2019-05-23	37.3	@ Schaffhausen	2	1365	42.63%	Wil	0	1353	31.08%	26.29%
13	2018-08-11	37.9	@ Wil	2	1409	45.04%	Aarau	0	1379	28.88%	26.07%
14	2019-04-06	38.2	@ Aarau	3	1451	44.62%	Vaduz	0	1424	29.26%	26.12%
15	2018-07-21	38.3	@ Wil	2	1400	43.29%	Winterthur	0	1383	30.47%	26.24%
16	2019-05-04	38.5	Servette	2	1599	61.58%	@ Schaffhausen	0	1374	16.21%	22.21%
17	2019-05-26	38.5	@ Servette	4	1629	72.92%	Kriens	1	1344	9.92%	17.16%
18	2018-09-02	38.8	Wil	2	1420	41.17%	@ Chiasso	0	1360	32.44%	26.39%
19	2019-03-02	38.8	@ Rapperswil-Jona	4	1380	35.47%	Wil	0	1418	38.03%	26.50%
20	2019-02-15	38.9	@ Winterthur	3	1412	38.79%	Vaduz	0	1427	34.73%	26.48%
21	2018-07-28	39.4	@ Schaffhausen	2	1449	45.93%	Wil	0	1412	28.10%	25.97%
22	2018-08-24	39.4	@ Servette	2	1488	50.42%	Winterthur	0	1417	24.30%	25.28%
23	2019-03-16	39.4	Lausanne-Sport	2	1543	53.56%	@ Schaffhausen	0	1388	21.82%	24.62%
24	2019-02-17	39.7	@ Aarau	1	1447	52.75%	Chiasso	0	1356	22.45%	24.81%
25	2019-05-23	39.7	Aarau	1	1522	57.39%	@ Chiasso	0	1334	19.01%	23.60%