2017-18 Challenge League Season

180 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

Neuchatel Xamax

16.38 points above expected

85 points · 68.62 expected points

Biggest Disappointment

Wohlen

17.50 points below expected

18 points · 35.50 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	Neuchatel Xamax	36	26	7	3	85	82	39	+43	68.62	+16.38
2	Schaffhausen	36	21	1	14	64	70	51	+19	58.30	+5.70
3	Servette	36	17	11	8	62	56	38	+18	62.75	-0.75
4	Vaduz	36	16	11	9	59	66	50	+16	59.98	-0.98
5	Rapperswil-Jona	36	16	8	12	56	53	45	+8	52.40	+3.60
6	Aarau	36	12	8	16	44	53	62	-9	46.63	-2.63
7	Wil	36	9	12	15	39	40	50	-10	37.89	+1.11
8	Chiasso*	36	11	6	19	36	42	60	-18	37.27	-1.27
9	Winterthur	36	7	11	18	32	45	60	-15	38.93	-6.93
10	Wohlen	36	3	9	24	18	41	93	-52	35.50	-17.50

* Point deductions: Chiasso (-3 pts)

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	Neuchatel Xamax	85	68.62	+16.38
2	Schaffhausen	64	58.30	+5.70
3	Rapperswil-Jona	56	52.40	+3.60
4	Wil	39	37.89	+1.11
5	Servette	62	62.75	-0.75

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Wohlen	18	35.50	-17.50
2	Winterthur	32	38.93	-6.93
3	Aarau	44	46.63	-2.63
4	Chiasso	36	37.27	-1.27
5	Vaduz	59	59.98	-0.98

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	Schaffhausen	6	Jul 24 – Aug 27	1 in 117
2	Wil	3	Feb 11 – Feb 24	1 in 45
3	Rapperswil-Jona	5	Feb 17 – Mar 17	1 in 44
4	Servette	5	Aug 4 – Sep 10	1 in 38
5	Neuchatel Xamax	5	Mar 11 – Apr 13	1 in 13

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Schaffhausen	4	Feb 5 – Feb 24	1 in 92
2	Servette	3	Apr 7 – Apr 19	1 in 58
3	Chiasso	4	Feb 11 – Mar 3	1 in 22
4	Wil	4	Aug 9 – Sep 11	1 in 21
5	Winterthur	4	Sep 21 – Oct 16	1 in 16

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Neuchatel Xamax	22	Oct 15 – May 4	1 in 196
2	Wil	7	Feb 3 – Apr 2	1 in 134
3	Vaduz	7	Dec 3 – Mar 10	1 in 18
4	Rapperswil-Jona	5	Sep 9 – Oct 16	1 in 15
5	Chiasso	5	Aug 9 – Sep 20	1 in 13

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Wohlen	26	Oct 14 – May 21	1 in 1,280
2	Wil	13	Aug 9 – Nov 25	1 in 69
3	Servette	5	Apr 2 – Apr 23	1 in 35
4	Chiasso	8	Nov 25 – Mar 3	1 in 23
5	Winterthur	8	Sep 9 – Nov 4	1 in 14

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
Neuchatel Xamax	1650	85	+2	10	10.7	-0.7
Schaffhausen	1524	64	+5	10	8.0	+2.0
Servette	1540	62	-9	9	9.1	-0.1
Vaduz	1555	59	-8	8	8.9	-0.9
Rapperswil-Jona	1517	56	+0	6	7.2	-1.2
Aarau	1448	44	+19	10	6.8	+3.2
Chiasso	1381	39	+12	6	5.7	+0.3
Wil	1417	39	+3	5	4.7	+0.3
Winterthur	1389	32	+9	7	4.8	+2.2
Wohlen	1278	18	-32	0	3.8	-3.8

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	NX	RAP	SCH	SER	VAD	WIL	WIN	WOH
Aarau	—	3-0-1 5.97	1-1-2 3.35	1-1-2 4.86	1-0-3 4.35	0-1-3 3.81	1-0-3 4.15	1-2-1 6.29	1-2-1 6.37	3-1-0 6.78
Chiasso	1-0-3 5.11	—	0-0-4 2.91	1-1-2 4.17	2-0-2 3.62	1-2-1 3.38	0-0-4 3.71	2-0-2 5.84	1-2-1 5.66	3-1-0 6.24
Neuchatel Xamax	2-1-1 7.82	4-0-0 8.31	—	3-1-0 7.46	2-0-2 6.93	2-2-0 6.36	3-1-0 6.70	4-0-0 8.63	2-2-0 8.59	4-0-0 8.77
Rapperswil-Jona	2-1-1 6.23	2-1-1 6.94	0-1-3 3.67	—	3-0-1 4.78	2-0-2 4.41	1-1-2 4.94	0-2-2 7.22	3-1-0 6.83	3-1-0 7.28
Schaffhausen	3-0-1 6.76	2-0-2 7.52	2-0-2 4.19	1-0-3 6.31	—	1-0-3 4.97	1-1-2 5.43	3-0-1 7.62	4-0-0 7.38	4-0-0 7.72
Servette	3-1-0 7.31	1-2-1 7.78	0-2-2 4.73	2-0-2 6.69	3-0-1 6.12	—	1-1-2 5.89	2-2-0 7.83	2-2-0 7.90	3-1-0 8.56
Vaduz	3-0-1 6.97	4-0-0 7.44	0-1-3 4.40	2-1-1 6.15	2-1-1 5.66	2-1-1 5.20	—	1-3-0 7.58	1-2-1 7.51	1-2-1 7.97
Wil	1-2-1 4.80	2-0-2 5.25	0-0-4 2.62	2-2-0 3.91	1-0-3 3.53	0-2-2 3.34	0-3-1 3.57	—	2-0-2 5.28	1-3-0 5.65
Winterthur	1-2-1 4.72	1-2-1 5.42	0-2-2 2.66	0-1-3 4.28	0-0-4 3.76	0-2-2 3.27	1-2-1 3.64	2-0-2 5.80	—	2-0-2 5.96
Wohlen	0-1-3 4.33	0-1-3 4.86	0-0-4 2.52	0-1-3 3.87	0-0-4 3.45	0-1-3 2.68	1-2-1 3.22	0-3-1 5.43	2-0-2 5.13	—

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	+12.6
Allowed	0.69	-10.2
Differential	0.96	+7.2

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	3.89%	8.33%	6.67%	2.22%	1.11%	0.83%	23.06%
1	8.33%	10.56%	6.67%	4.44%	2.50%	1.11%	33.61%
2	6.67%	6.67%	6.11%	2.22%	1.11%	0.56%	23.33%
3	2.22%	4.44%	2.22%	2.22%	0.28%	0.28%	11.67%
4	1.11%	2.50%	1.11%	0.28%	0.56%	—	5.56%
5+	0.83%	1.11%	0.56%	0.28%	—	—	2.78%
Total	23.06%	33.61%	23.33%	11.67%	5.56%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.52	+0.00
SD	1.30	1.30	1.89
CV	0.85	0.85	—
Max	6	6	+6
Min	0	0	-6

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	8.33%	2.78%	2.78%	—	27.78%
1	—	5.56%	8.33%	5.56%	5.56%	2.78%	27.78%
2	8.33%	5.56%	8.33%	—	—	—	22.22%
3	2.78%	5.56%	2.78%	2.78%	—	—	13.89%
4	—	5.56%	2.78%	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	16.67%	30.56%	30.56%	11.11%	8.33%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.47	1.72	-0.25
SD	1.28	1.28	1.98
CV	0.87	0.74	—
Max	4	5	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	16.67%	8.33%	5.56%	—	—	30.56%
1	8.33%	13.89%	8.33%	2.78%	5.56%	2.78%	41.67%
2	2.78%	5.56%	2.78%	—	—	2.78%	13.89%
3	5.56%	—	2.78%	—	—	—	8.33%
4	2.78%	—	—	2.78%	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	19.44%	36.11%	22.22%	11.11%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.17	1.67	-0.50
SD	1.13	1.45	1.93
CV	0.97	0.87	—
Max	4	6	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	2.78%	—	—	—	11.11%
1	16.67%	2.78%	—	—	—	—	19.44%
2	5.56%	13.89%	5.56%	—	—	—	25.00%
3	5.56%	11.11%	5.56%	5.56%	—	—	27.78%
4	—	5.56%	2.78%	—	2.78%	—	11.11%
5+	2.78%	—	—	2.78%	—	—	5.56%
Total	33.33%	38.89%	16.67%	8.33%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.28	1.08	+1.19
SD	1.43	1.05	1.37
CV	0.63	0.97	—
Max	6	4	+5
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	13.89%	5.56%	—	2.78%	2.78%	30.56%
1	8.33%	8.33%	5.56%	—	—	—	22.22%
2	8.33%	5.56%	8.33%	2.78%	—	—	25.00%
3	2.78%	11.11%	2.78%	—	—	—	16.67%
4	—	—	2.78%	—	—	—	2.78%
5+	2.78%	—	—	—	—	—	2.78%
Total	27.78%	38.89%	25.00%	2.78%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.47	1.25	+0.22
SD	1.32	1.25	1.99
CV	0.90	1.00	—
Max	5	6	+5
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	8.33%	—	—	2.78%	16.67%
1	11.11%	—	13.89%	2.78%	—	—	27.78%
2	5.56%	13.89%	—	2.78%	2.78%	—	25.00%
3	—	8.33%	2.78%	2.78%	—	—	13.89%
4	2.78%	8.33%	—	—	—	—	11.11%
5+	2.78%	—	2.78%	—	—	—	5.56%
Total	22.22%	36.11%	27.78%	8.33%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.94	1.42	+0.53
SD	1.51	1.18	2.14
CV	0.78	0.83	—
Max	6	5	+6
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	2.78%	2.78%	—	—	16.67%
1	8.33%	19.44%	8.33%	—	2.78%	—	38.89%
2	11.11%	11.11%	2.78%	2.78%	—	—	27.78%
3	2.78%	2.78%	2.78%	—	—	—	8.33%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	—	2.78%	—	—	—	—	2.78%
Total	33.33%	38.89%	19.44%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.56	1.06	+0.50
SD	1.21	1.01	1.61
CV	0.78	0.96	—
Max	5	4	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	5.56%	—	—	2.78%	16.67%
1	13.89%	11.11%	—	8.33%	2.78%	—	36.11%
2	8.33%	5.56%	11.11%	—	—	—	25.00%
3	—	—	—	5.56%	—	—	5.56%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	—	8.33%	2.78%	—	—	—	11.11%
Total	27.78%	33.33%	19.44%	13.89%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.83	1.39	+0.44
SD	1.59	1.27	2.13
CV	0.87	0.92	—
Max	6	5	+5
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	11.11%	8.33%	2.78%	—	—	33.33%
1	11.11%	11.11%	2.78%	5.56%	—	—	30.56%
2	5.56%	2.78%	11.11%	8.33%	—	—	27.78%
3	2.78%	2.78%	—	—	—	2.78%	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	30.56%	27.78%	22.22%	16.67%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.11	1.39	-0.28
SD	0.98	1.34	1.41
CV	0.88	0.96	—
Max	3	6	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	13.89%	8.33%	2.78%	—	—	25.00%
1	2.78%	19.44%	8.33%	11.11%	—	—	41.67%
2	11.11%	2.78%	2.78%	2.78%	2.78%	—	22.22%
3	—	—	—	5.56%	—	—	5.56%
4	—	2.78%	—	—	2.78%	—	5.56%
5+	—	—	—	—	—	—	—
Total	13.89%	38.89%	19.44%	22.22%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.67	-0.42
SD	1.08	1.15	1.42
CV	0.86	0.69	—
Max	4	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	8.33%	5.56%	5.56%	—	22.22%
1	2.78%	13.89%	11.11%	8.33%	8.33%	5.56%	50.00%
2	—	—	8.33%	2.78%	5.56%	2.78%	19.44%
3	—	2.78%	2.78%	—	2.78%	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	5.56%	16.67%	30.56%	16.67%	22.22%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.14	2.58	-1.44
SD	0.87	1.38	1.58
CV	0.76	0.53	—
Max	3	5	+2
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
Neuchatel Xamax	1650	85	68.62	+16.38	99.0%	50	55	64	69	74	82	87
Vaduz	1555	59	59.98	-0.98	50.0%	33	46	54	59	67	75	78
Servette	1540	62	62.75	-0.75	45.0%	47	50	58	63	67	74	79
Schaffhausen	1524	64	58.30	+5.70	75.0%	40	45	52	57	64	71	80
Rapperswil-Jona	1517	56	52.40	+3.60	72.0%	32	39	46	52	57	67	74
Aarau	1448	44	46.63	-2.63	36.0%	30	33	42	47	50	59	67
Wil	1417	39	37.89	+1.11	55.0%	20	24	33	39	43	50	56
Winterthur	1389	32	38.93	-6.93	21.0%	20	27	34	40	44	50	59
Chiasso	1381	36	37.27	-1.27	52.0%	18	23	32	36	43	51	57
Wohlen	1278	18	35.50	-17.50	0.0%	19	24	31	36	40	47	53

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

+15.56%

Slight Edge

46.11%23.33%30.56%

Elo Value

Home Edge

148 Elo

0.007 goals per Elo point

054.49400

Scoring Tilt

Expected

+0.43 goals

Neutral

-2+0.37+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

2.8

Top-Heavy

123410

Champion Preseason Odds

53%

Neuchatel Xamax, 1st of 10

LongshotFavorite

Title Margin

Expected

0.58/gm

Runaway

00.180.8/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 6.21 * Some Luck: 6.21 to 9.32 * Lucky: 9.32 to 12.43 * Wild Swing: 12.43 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 1.01 * Close: 1.01 to 1.51 * Off: 1.51 to 2.02 * Way Off: 2.02 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

8.24 points

Some Luck

07.7719

Average Finish Error

Expected

0.80

Pinpoint

01.263

Biggest Overachiever

Expected 95.00%

99.00%

Neuchatel Xamax

50100

Biggest Underachiever

Expected 5.00%

0.00%

Wohlen

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

0.21

Lopsided

00.130.20.5

Noll-Scully

Elo SD: 107.46

2.43

Wide Separation

0.751.51.82.153

Interquartile Edge

69%

Clear Edge

50%63.5%74.5%100%

Best vs. Worst

Baseline

89%

Clear Edge

50%88%100%

Close Games

Expected

58%

Some Drama

0%57%100%

Blowouts

Expected

17%

Occasional

0%19%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

0.58

Predictable

00.602

Matchup Imbalance

0.31

Very Even

00.340.420.5

Strangeness

Expected

1.28

Wilder Than Modeled

01.002

Repeatability

0.85

Near-Lock

00.380.570.71

Upset Rate

Expected

19%

As Expected

0%27%50%

Clear Favorite Upset Rate

Expected

14%

Solid Favorites

0%23%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 0.26 * Well Above Noise: 0.26 and up.

Probability calibration

0.38

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.92

Very Underconfident

01.002.20052

Calibration error (ECE)

Noise ceiling

0.132

Near Noise Ceiling

00.1280.3

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
Neuchatel Xamax	53.00%	24.00%	13.00%	5.00%	4.00%	1.00%	—	—	—	—
Schaffhausen	9.00%	19.00%	20.00%	26.00%	17.00%	5.00%	3.00%	1.00%	—	—
Servette	17.00%	32.00%	26.00%	18.00%	4.00%	1.00%	2.00%	—	—	—
Vaduz	18.00%	19.00%	20.00%	21.00%	14.00%	4.00%	2.00%	1.00%	—	1.00%
Rapperswil-Jona	3.00%	4.00%	19.00%	14.00%	23.00%	20.00%	10.00%	5.00%	1.00%	1.00%
Aarau	—	2.00%	1.00%	10.00%	22.00%	27.00%	22.00%	9.00%	2.00%	5.00%
Wil	—	—	—	2.00%	4.00%	11.00%	19.00%	20.00%	25.00%	19.00%
Chiasso	—	—	—	2.00%	2.00%	19.00%	13.00%	13.00%	25.00%	26.00%
Winterthur	—	—	1.00%	2.00%	6.00%	10.00%	19.00%	33.00%	14.00%	15.00%
Wohlen	—	—	—	—	4.00%	2.00%	10.00%	18.00%	33.00%	33.00%

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	Same level	Direct relegation
Neuchatel Xamax	53.00%	47.00%	—
Servette	17.00%	83.00%	—
Vaduz	18.00%	81.00%	1.00%
Schaffhausen	9.00%	91.00%	—
Rapperswil-Jona	3.00%	96.00%	1.00%
Aarau	—	95.00%	5.00%
Winterthur	—	85.00%	15.00%
Wil	—	81.00%	19.00%
Chiasso	—	74.00%	26.00%
Wohlen	—	67.00%	33.00%

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
2017-07-21	Aarau	W 2-1	52.1	1544	1461	52.22%	22.03%	25.76%	+0.93	+4.0	3
2017-07-21	@ Neuchatel Xamax	L 1-2	52.1	1461	1544	25.76%	22.03%	52.22%	-0.93	-4.0	0
2017-07-22	Chiasso	D 2-2	66.5	1519	1407	55.67%	21.45%	22.88%	+1.12	-0.8	1
2017-07-22	@ Servette	D 2-2	66.5	1407	1519	22.88%	21.45%	55.67%	-1.12	+0.8	1
2017-07-22	Wohlen	L 1-3	48.6	1430	1429	41.13%	22.95%	35.92%	+0.37	-10.2	0
2017-07-22	@ Winterthur	W 3-1	48.6	1429	1430	35.92%	22.95%	41.13%	-0.37	+10.2	3
2017-07-23	Vaduz	L 0-1	44.8	1413	1527	26.18%	22.10%	51.72%	-0.40	-4.3	0
2017-07-23	@ Wil	W 1-0	44.8	1527	1413	51.72%	22.10%	26.18%	+0.40	+4.3	3
2017-07-24	Rapperswil-Jona	W 6-0	43.4	1496	1477	43.67%	22.85%	33.47%	+0.50	+28.0	3
2017-07-24	@ Schaffhausen	L 0-6	43.4	1477	1496	33.47%	22.85%	43.67%	-0.50	-28.0	0
2017-07-28	Neuchatel Xamax	L 0-2	40.7	1408	1548	23.49%	21.58%	54.93%	-0.58	-7.4	1
2017-07-28	@ Chiasso	W 2-0	40.7	1548	1408	54.93%	21.58%	23.49%	+0.58	+7.4	6
2017-07-29	Wil	D 2-2	64.2	1457	1408	47.67%	22.57%	29.76%	+0.69	-0.4	1
2017-07-29	@ Aarau	D 2-2	64.2	1408	1457	29.76%	22.57%	47.67%	-0.69	+0.4	1
2017-07-29	Winterthur	W 3-1	46.2	1449	1419	45.09%	22.77%	32.14%	+0.57	+8.4	3
2017-07-29	@ Rapperswil-Jona	L 1-3	46.2	1419	1449	32.14%	22.77%	45.09%	-0.57	-8.4	0
2017-07-30	Servette	D 1-1	65.1	1531	1518	42.88%	22.89%	34.23%	+0.46	-0.3	4
2017-07-30	@ Vaduz	D 1-1	65.1	1518	1531	34.23%	22.89%	42.88%	-0.46	+0.3	2
2017-07-31	Schaffhausen	L 1-4	45.8	1439	1524	29.57%	22.55%	47.89%	-0.20	-11.1	3
2017-07-31	@ Wohlen	W 4-1	45.8	1524	1439	47.89%	22.55%	29.57%	+0.20	+11.1	6
2017-08-04	Servette	L 0-1	48.2	1457	1518	32.53%	22.80%	44.67%	-0.04	-5.2	3
2017-08-04	@ Rapperswil-Jona	W 1-0	48.2	1518	1457	44.67%	22.80%	32.53%	+0.04	+5.2	5
2017-08-05	Chiasso	W 2-0	38.9	1535	1400	58.33%	20.89%	20.78%	+1.27	+6.6	9
2017-08-05	@ Schaffhausen	L 0-2	38.9	1400	1535	20.78%	20.89%	58.33%	-1.27	-6.6	1
2017-08-05	Wohlen	W 3-1	47.3	1409	1428	38.27%	22.98%	38.75%	+0.24	+9.8	4
2017-08-05	@ Wil	L 1-3	47.3	1428	1409	38.75%	22.98%	38.27%	-0.24	-9.8	3
2017-08-06	Vaduz	W 3-1	54.1	1555	1531	44.44%	22.81%	32.75%	+0.53	+8.6	9
2017-08-06	@ Neuchatel Xamax	L 1-3	54.1	1531	1555	32.75%	22.81%	44.44%	-0.53	-8.6	4
2017-08-07	Aarau	D 1-1	58.6	1411	1456	34.62%	22.91%	42.48%	+0.06	+0.2	1
2017-08-07	@ Winterthur	D 1-1	58.6	1456	1411	42.48%	22.91%	34.62%	-0.06	-0.2	2
2017-08-09	Neuchatel Xamax	L 1-2	50.2	1418	1564	22.90%	21.45%	55.64%	-0.62	-3.6	3
2017-08-09	@ Wohlen	W 2-1	50.2	1564	1418	55.64%	21.45%	22.90%	+0.62	+3.6	12
2017-08-09	Rapperswil-Jona	W 1-0	47.4	1394	1452	32.93%	22.82%	44.25%	-0.02	+6.7	4
2017-08-09	@ Chiasso	L 0-1	47.4	1452	1394	44.25%	22.82%	32.93%	+0.02	-6.7	3
2017-08-09	Wil	W 1-0	43.9	1523	1418	54.87%	21.60%	23.54%	+1.07	+4.0	8
2017-08-09	@ Servette	L 0-1	43.9	1418	1523	23.54%	21.60%	54.87%	-1.07	-4.0	4
2017-08-10	Schaffhausen	L 1-2	53.1	1456	1541	29.48%	22.54%	47.98%	-0.21	-4.5	2
2017-08-10	@ Aarau	W 2-1	53.1	1541	1456	47.98%	22.54%	29.48%	+0.21	+4.5	12
2017-08-10	Winterthur	D 2-2	66.7	1522	1411	55.63%	21.45%	22.92%	+1.12	-0.8	5
2017-08-10	@ Vaduz	D 2-2	66.7	1411	1522	22.92%	21.45%	55.63%	-1.12	+0.8	2
2017-08-18	Schaffhausen	L 0-1	56.6	1568	1546	44.05%	22.83%	33.12%	+0.51	-6.6	12
2017-08-18	@ Neuchatel Xamax	W 1-0	56.6	1546	1568	33.12%	22.83%	44.05%	-0.51	+6.6	15
2017-08-19	Wil	W 3-0	38.7	1401	1414	39.00%	22.98%	38.02%	+0.27	+16.2	7
2017-08-19	@ Chiasso	L 0-3	38.7	1414	1401	38.02%	22.98%	39.00%	-0.27	-16.2	4
2017-08-19	Wohlen	W 3-2	54.3	1445	1414	45.31%	22.76%	31.94%	+0.58	+4.6	6
2017-08-19	@ Rapperswil-Jona	L 2-3	54.3	1414	1445	31.94%	22.76%	45.31%	-0.58	-4.6	3
2017-08-20	Vaduz	L 0-2	44.0	1451	1522	31.37%	22.71%	45.92%	-0.11	-9.5	2
2017-08-20	@ Aarau	W 2-0	44.0	1522	1451	45.92%	22.71%	31.37%	+0.11	+9.5	8
2017-08-21	Servette	L 0-2	41.0	1412	1527	26.07%	22.08%	51.86%	-0.41	-8.2	2
2017-08-21	@ Winterthur	W 2-0	41.0	1527	1412	51.86%	22.08%	26.07%	+0.41	+8.2	11
2017-08-25	Aarau	W 3-0	39.5	1535	1442	53.49%	21.83%	24.68%	+1.00	+11.3	14
2017-08-25	@ Servette	L 0-3	39.5	1442	1535	24.68%	21.83%	53.49%	-1.00	-11.3	2
2017-08-26	Chiasso	D 1-1	57.5	1410	1417	40.00%	22.97%	37.03%	+0.32	-0.1	4
2017-08-26	@ Wohlen	D 1-1	57.5	1417	1410	37.03%	22.97%	40.00%	-0.32	+0.1	8
2017-08-26	Winterthur	L 0-2	41.4	1398	1404	40.22%	22.97%	36.81%	+0.33	-11.6	4
2017-08-26	@ Wil	W 2-0	41.4	1404	1398	36.81%	22.97%	40.22%	-0.33	+11.6	5
2017-08-27	Vaduz	W 3-1	54.1	1553	1531	44.01%	22.84%	33.15%	+0.51	+8.7	18
2017-08-27	@ Schaffhausen	L 1-3	54.1	1531	1553	33.15%	22.84%	44.01%	-0.51	-8.7	8
2017-08-28	Rapperswil-Jona	W 2-0	42.5	1561	1450	55.64%	21.45%	22.91%	+1.12	+7.3	15
2017-08-28	@ Neuchatel Xamax	L 0-2	42.5	1450	1561	22.91%	21.45%	55.64%	-1.12	-7.3	6
2017-09-08	Wohlen	W 2-0	40.2	1431	1410	43.93%	22.84%	33.23%	+0.51	+10.0	5
2017-09-08	@ Aarau	L 0-2	40.2	1410	1431	33.23%	22.84%	43.93%	-0.51	-10.0	4
2017-09-09	Chiasso	D 1-1	57.7	1415	1417	40.80%	22.96%	36.24%	+0.36	-0.1	6
2017-09-09	@ Winterthur	D 1-1	57.7	1417	1415	36.24%	22.96%	40.80%	-0.36	+0.2	9
2017-09-09	Rapperswil-Jona	D 2-2	67.7	1522	1443	51.78%	22.09%	26.13%	+0.91	-0.6	9
2017-09-09	@ Vaduz	D 2-2	67.7	1443	1522	26.13%	22.09%	51.78%	-0.91	+0.6	7
2017-09-10	Schaffhausen	W 3-2	64.9	1547	1561	38.92%	22.98%	38.10%	+0.27	+5.3	17
2017-09-10	@ Servette	L 2-3	64.9	1561	1547	38.10%	22.98%	38.92%	-0.27	-5.3	18
2017-09-11	Neuchatel Xamax	L 0-1	42.9	1387	1568	19.70%	20.56%	59.74%	-0.86	-3.3	4
2017-09-11	@ Wil	W 1-0	42.9	1568	1387	59.74%	20.56%	19.70%	+0.86	+3.3	18
2017-09-20	Aarau	W 1-0	46.3	1417	1441	37.62%	22.98%	39.40%	+0.21	+6.1	12
2017-09-20	@ Chiasso	L 0-1	46.3	1441	1417	39.40%	22.98%	37.62%	-0.21	-6.1	5
2017-09-20	Servette	W 3-2	63.9	1572	1552	43.76%	22.85%	33.40%	+0.50	+4.8	21
2017-09-20	@ Neuchatel Xamax	L 2-3	63.9	1552	1572	33.40%	22.85%	43.76%	-0.50	-4.8	17
2017-09-20	Wil	D 0-0	53.6	1443	1383	49.18%	22.41%	28.40%	+0.77	-0.8	8
2017-09-20	@ Rapperswil-Jona	D 0-0	53.6	1383	1443	28.40%	22.41%	49.18%	-0.77	+0.8	5
2017-09-21	Vaduz	W 1-0	52.0	1400	1522	25.33%	21.95%	52.72%	-0.46	+7.7	7
2017-09-21	@ Wohlen	L 0-1	52.0	1522	1400	52.72%	21.95%	25.33%	+0.46	-7.7	9
2017-09-21	Winterthur	W 2-0	40.0	1556	1415	59.05%	20.73%	20.22%	+1.32	+6.5	21
2017-09-21	@ Schaffhausen	L 0-2	40.0	1415	1556	20.22%	20.73%	59.05%	-1.32	-6.5	6
2017-09-23	Rapperswil-Jona	D 0-0	54.8	1434	1442	39.87%	22.97%	37.16%	+0.31	-0.1	6
2017-09-23	@ Aarau	D 0-0	54.8	1442	1434	37.16%	22.97%	39.87%	-0.31	+0.1	9
2017-09-24	Chiasso	W 1-0	44.2	1514	1423	53.18%	21.88%	24.94%	+0.98	+4.2	12
2017-09-24	@ Vaduz	L 0-1	44.2	1423	1514	24.94%	21.88%	53.18%	-0.98	-4.2	12
2017-09-24	Neuchatel Xamax	L 0-1	44.5	1409	1576	20.91%	20.93%	58.16%	-0.76	-3.5	6
2017-09-24	@ Winterthur	W 1-0	44.5	1576	1409	58.16%	20.93%	20.91%	+0.76	+3.5	24
2017-09-24	Wohlen	W 5-1	40.7	1547	1407	58.97%	20.75%	20.29%	+1.31	+10.2	20
2017-09-24	@ Servette	L 1-5	40.7	1407	1547	20.29%	20.75%	58.97%	-1.31	-10.2	7
2017-09-25	Schaffhausen	L 2-3	52.9	1384	1562	19.98%	20.65%	59.37%	-0.83	-3.0	5
2017-09-25	@ Wil	W 3-2	52.9	1562	1384	59.37%	20.65%	19.98%	+0.83	+3.0	24
2017-09-29	Neuchatel Xamax	W 2-0	52.4	1434	1580	22.96%	21.46%	55.58%	-0.61	+15.2	9
2017-09-29	@ Aarau	L 0-2	52.4	1580	1434	55.58%	21.46%	22.96%	+0.61	-15.2	24
2017-09-30	Schaffhausen	W 5-0	49.3	1442	1565	25.25%	21.94%	52.81%	-0.46	+34.0	12
2017-09-30	@ Rapperswil-Jona	L 0-5	49.3	1565	1442	52.81%	21.94%	25.25%	+0.46	-34.1	24
2017-09-30	Winterthur	W 3-2	54.5	1397	1405	39.83%	22.97%	37.20%	+0.31	+5.2	10
2017-09-30	@ Wohlen	L 2-3	54.5	1405	1397	37.20%	22.97%	39.83%	-0.31	-5.2	6
2017-10-01	Wil	D 0-0	56.2	1518	1381	58.65%	20.82%	20.53%	+1.29	-1.4	13
2017-10-01	@ Vaduz	D 0-0	56.2	1381	1518	20.53%	20.82%	58.65%	-1.29	+1.4	6
2017-10-02	Servette	L 1-2	50.3	1419	1557	23.64%	21.62%	54.75%	-0.57	-3.7	12
2017-10-02	@ Chiasso	W 2-1	50.3	1557	1419	54.75%	21.62%	23.64%	+0.57	+3.7	23
2017-10-13	Vaduz	W 2-0	47.5	1561	1517	47.14%	22.62%	30.24%	+0.67	+9.3	26
2017-10-13	@ Servette	L 0-2	47.5	1517	1561	30.24%	22.62%	47.14%	-0.67	-9.3	13
2017-10-14	Aarau	L 1-3	45.0	1383	1450	31.76%	22.74%	45.50%	-0.08	-8.4	6
2017-10-14	@ Wil	W 3-1	45.0	1450	1383	45.50%	22.74%	31.76%	+0.08	+8.4	12
2017-10-14	Wohlen	W 2-1	47.8	1531	1402	57.73%	21.03%	21.24%	+1.24	+3.4	27
2017-10-14	@ Schaffhausen	L 1-2	47.8	1402	1531	21.24%	21.03%	57.73%	-1.24	-3.4	10
2017-10-15	Chiasso	W 4-1	42.8	1565	1415	60.05%	20.48%	19.46%	+1.38	+7.6	27
2017-10-15	@ Neuchatel Xamax	L 1-4	42.8	1415	1565	19.46%	20.48%	60.05%	-1.38	-7.6	12
2017-10-16	Rapperswil-Jona	L 0-1	44.2	1400	1477	30.58%	22.65%	46.77%	-0.15	-5.0	6
2017-10-16	@ Winterthur	W 1-0	44.2	1477	1400	46.77%	22.65%	30.58%	+0.15	+5.0	15
2017-10-20	Neuchatel Xamax	L 0-5	45.9	1508	1572	32.05%	22.76%	45.19%	-0.07	-22.7	13
2017-10-20	@ Vaduz	W 5-0	45.9	1572	1508	45.19%	22.76%	32.05%	+0.07	+22.7	30
2017-10-21	Rapperswil-Jona	W 2-1	53.6	1570	1481	52.92%	21.92%	25.16%	+0.97	+4.0	29
2017-10-21	@ Servette	L 1-2	53.6	1481	1570	25.16%	21.92%	52.92%	-0.97	-4.0	15
2017-10-21	Schaffhausen	W 2-1	58.0	1407	1535	24.79%	21.85%	53.35%	-0.49	+7.3	15
2017-10-21	@ Chiasso	L 1-2	58.0	1535	1407	53.35%	21.85%	24.79%	+0.49	-7.3	27
2017-10-22	Wil	D 2-2	61.9	1399	1374	44.46%	22.81%	32.73%	+0.53	-0.3	11
2017-10-22	@ Wohlen	D 2-2	61.9	1374	1399	32.73%	22.81%	44.46%	-0.53	+0.3	7
2017-10-23	Winterthur	D 3-3	68.1	1458	1395	49.58%	22.37%	28.05%	+0.79	-0.4	13
2017-10-23	@ Aarau	D 3-3	68.1	1395	1458	28.05%	22.37%	49.58%	-0.79	+0.4	7
2017-10-28	Aarau	W 4-1	45.8	1527	1458	50.50%	22.26%	27.24%	+0.84	+10.4	30
2017-10-28	@ Schaffhausen	L 1-4	45.8	1458	1527	27.24%	22.26%	50.50%	-0.84	-10.4	13
2017-10-28	Chiasso	D 1-1	59.6	1478	1415	49.57%	22.37%	28.06%	+0.79	-0.7	16
2017-10-28	@ Rapperswil-Jona	D 1-1	59.6	1415	1478	28.06%	22.37%	49.57%	-0.79	+0.7	16
2017-10-29	Vaduz	L 0-1	43.8	1396	1485	29.03%	22.49%	48.48%	-0.23	-4.8	7
2017-10-29	@ Winterthur	W 1-0	43.8	1485	1396	48.48%	22.49%	29.03%	+0.23	+4.8	16
2017-10-29	Wohlen	W 4-2	48.7	1595	1399	65.00%	19.07%	15.93%	+1.69	+3.9	33
2017-10-29	@ Neuchatel Xamax	L 2-4	48.7	1399	1595	15.93%	19.07%	65.00%	-1.69	-3.9	11
2017-10-30	Servette	D 0-0	58.1	1374	1574	18.21%	20.04%	61.75%	-0.98	+1.7	8
2017-10-30	@ Wil	D 0-0	58.1	1574	1374	61.75%	20.04%	18.21%	+0.98	-1.7	30
2017-11-03	Neuchatel Xamax	L 1-2	58.9	1538	1599	32.51%	22.80%	44.70%	-0.05	-4.9	30
2017-11-03	@ Schaffhausen	W 2-1	58.9	1599	1538	44.70%	22.80%	32.51%	+0.05	+4.9	36
2017-11-04	Chiasso	L 2-3	53.7	1376	1416	35.41%	22.93%	41.65%	+0.10	-5.0	8
2017-11-04	@ Wil	W 3-2	53.7	1416	1376	41.65%	22.93%	35.41%	-0.10	+5.0	19
2017-11-04	Winterthur	D 1-1	62.9	1573	1391	63.52%	19.53%	16.95%	+1.59	-1.6	31
2017-11-04	@ Servette	D 1-1	62.9	1391	1573	16.95%	19.53%	63.52%	-1.59	+1.6	8
2017-11-05	Aarau	W 4-1	45.2	1490	1447	46.87%	22.64%	30.49%	+0.65	+11.4	19
2017-11-05	@ Vaduz	L 1-4	45.2	1447	1490	30.49%	22.64%	46.87%	-0.65	-11.4	13
2017-11-06	Rapperswil-Jona	L 1-2	48.8	1395	1477	29.88%	22.58%	47.54%	-0.19	-4.6	11
2017-11-06	@ Wohlen	W 2-1	48.8	1477	1395	47.54%	22.58%	29.88%	+0.19	+4.6	19
2017-11-17	Servette	D 0-0	59.8	1436	1571	23.96%	21.68%	54.36%	-0.55	+1.1	14
2017-11-17	@ Aarau	D 0-0	59.8	1571	1436	54.36%	21.68%	23.96%	+0.55	-1.1	32
2017-11-18	Neuchatel Xamax	D 2-2	72.1	1481	1604	25.29%	21.95%	52.76%	-0.46	+0.7	20
2017-11-18	@ Rapperswil-Jona	D 2-2	72.1	1604	1481	52.76%	21.95%	25.29%	+0.46	-0.7	37
2017-11-18	Wil	W 2-0	38.5	1392	1371	43.99%	22.84%	33.18%	+0.51	+10.0	11
2017-11-18	@ Winterthur	L 0-2	38.5	1371	1392	33.18%	22.84%	43.99%	-0.51	-10.0	8
2017-11-19	Wohlen	W 4-0	36.2	1421	1390	45.25%	22.76%	31.99%	+0.57	+18.4	22
2017-11-19	@ Chiasso	L 0-4	36.2	1390	1421	31.99%	22.76%	45.25%	-0.57	-18.4	11
2017-11-20	Schaffhausen	W 2-0	49.1	1501	1533	36.45%	22.96%	40.59%	+0.15	+11.7	22
2017-11-20	@ Vaduz	L 0-2	49.1	1533	1501	40.59%	22.96%	36.45%	-0.15	-11.7	30
2017-11-24	Vaduz	W 2-0	47.6	1482	1513	36.64%	22.96%	40.40%	+0.16	+11.7	23
2017-11-24	@ Rapperswil-Jona	L 0-2	47.6	1513	1482	40.40%	22.96%	36.64%	-0.16	-11.7	22
2017-11-25	Wil	W 3-1	42.1	1603	1361	69.39%	17.53%	13.08%	+2.00	+3.6	40
2017-11-25	@ Neuchatel Xamax	L 1-3	42.1	1361	1603	13.08%	17.53%	69.39%	-2.00	-3.6	8
2017-11-25	Winterthur	D 1-1	58.0	1439	1402	46.08%	22.70%	31.22%	+0.61	-0.5	23
2017-11-25	@ Chiasso	D 1-1	58.0	1402	1439	31.22%	22.70%	46.08%	-0.61	+0.5	12
2017-11-26	Servette	L 1-2	58.0	1521	1570	34.13%	22.88%	42.98%	+0.04	-5.1	30
2017-11-26	@ Schaffhausen	W 2-1	58.0	1570	1521	42.98%	22.88%	34.13%	-0.04	+5.1	35
2017-11-27	Aarau	D 1-1	57.1	1372	1437	32.00%	22.76%	45.24%	-0.07	+0.4	12
2017-11-27	@ Wohlen	D 1-1	57.1	1437	1372	45.24%	22.76%	32.00%	+0.07	-0.4	15
2017-12-02	Chiasso	W 3-0	39.8	1436	1438	40.70%	22.96%	36.34%	+0.35	+15.6	18
2017-12-02	@ Aarau	L 0-3	39.8	1438	1436	36.34%	22.96%	40.70%	-0.35	-15.6	23
2017-12-02	Rapperswil-Jona	W 1-0	50.3	1358	1494	23.87%	21.67%	54.46%	-0.55	+7.9	11
2017-12-02	@ Wil	L 0-1	50.3	1494	1358	54.46%	21.67%	23.87%	+0.55	-7.9	23
2017-12-03	Schaffhausen	L 0-1	44.1	1403	1516	26.30%	22.12%	51.58%	-0.40	-4.4	12
2017-12-03	@ Winterthur	W 1-0	44.1	1516	1403	51.58%	22.12%	26.30%	+0.40	+4.4	33
2017-12-03	Wohlen	D 1-1	59.4	1501	1372	57.71%	21.03%	21.26%	+1.24	-1.2	23
2017-12-03	@ Vaduz	D 1-1	59.4	1372	1501	21.26%	21.03%	57.71%	-1.24	+1.2	13
2017-12-04	Neuchatel Xamax	L 1-2	61.3	1575	1607	36.48%	22.96%	40.55%	+0.15	-5.4	35
2017-12-04	@ Servette	W 2-1	61.3	1607	1575	40.55%	22.96%	36.48%	-0.15	+5.4	43
2017-12-08	Winterthur	W 2-1	48.0	1612	1399	66.70%	18.50%	14.79%	+1.81	+2.3	46
2017-12-08	@ Neuchatel Xamax	L 1-2	48.0	1399	1612	14.79%	18.50%	66.70%	-1.81	-2.3	12
2017-12-09	Vaduz	L 0-1	45.6	1423	1500	30.52%	22.64%	46.84%	-0.15	-4.9	23
2017-12-09	@ Chiasso	W 1-0	45.6	1500	1423	46.84%	22.64%	30.52%	+0.15	+5.0	26
2017-12-11	Wil	W 2-1	45.4	1520	1365	60.64%	20.33%	19.03%	+1.41	+3.0	36
2017-12-11	@ Schaffhausen	L 1-2	45.4	1365	1520	19.03%	20.33%	60.64%	-1.41	-3.0	11
2018-02-02	Neuchatel Xamax	D 3-3	77.4	1505	1615	26.66%	22.17%	51.16%	-0.37	+0.5	27
2018-02-02	@ Vaduz	D 3-3	77.4	1615	1505	51.16%	22.17%	26.66%	+0.37	-0.5	47
2018-02-03	Chiasso	D 1-1	63.5	1570	1418	60.30%	20.42%	19.28%	+1.39	-1.4	36
2018-02-03	@ Servette	D 1-1	63.5	1418	1570	19.28%	20.42%	60.30%	-1.39	+1.4	24
2018-02-03	Wohlen	D 1-1	55.7	1362	1373	39.44%	22.98%	37.58%	+0.29	-0.1	12
2018-02-03	@ Wil	D 1-1	55.7	1373	1362	37.58%	22.98%	39.44%	-0.29	+0.1	14
2018-02-04	Rapperswil-Jona	D 1-1	59.2	1396	1486	28.98%	22.48%	48.54%	-0.24	+0.6	13
2018-02-04	@ Winterthur	D 1-1	59.2	1486	1396	48.54%	22.48%	28.98%	+0.24	-0.6	24
2018-02-05	Schaffhausen	W 2-1	57.3	1452	1523	31.21%	22.70%	46.09%	-0.11	+6.5	21
2018-02-05	@ Aarau	L 1-2	57.3	1523	1452	46.09%	22.70%	31.21%	+0.11	-6.5	36
2018-02-09	Aarau	W 3-1	48.7	1614	1459	60.71%	20.32%	18.98%	+1.42	+5.3	50
2018-02-09	@ Neuchatel Xamax	L 1-3	48.7	1459	1614	18.98%	20.32%	60.71%	-1.42	-5.3	21
2018-02-10	Winterthur	L 1-4	42.8	1373	1397	37.65%	22.98%	39.38%	+0.21	-13.5	14
2018-02-10	@ Wohlen	W 4-1	42.8	1397	1373	39.38%	22.98%	37.65%	-0.21	+13.5	16
2018-02-11	Vaduz	L 1-2	55.6	1485	1505	38.13%	22.98%	38.89%	+0.23	-5.6	24
2018-02-11	@ Rapperswil-Jona	W 2-1	55.6	1505	1485	38.89%	22.98%	38.13%	-0.23	+5.6	30
2018-02-11	Wil	L 0-1	47.1	1419	1362	48.81%	22.45%	28.74%	+0.75	-7.2	24
2018-02-11	@ Chiasso	W 1-0	47.1	1362	1419	28.74%	22.45%	48.81%	-0.75	+7.2	15
2018-02-12	Servette	L 0-1	52.6	1517	1568	33.79%	22.87%	43.34%	+0.02	-5.4	36
2018-02-12	@ Schaffhausen	W 1-0	52.6	1568	1517	43.34%	22.87%	33.79%	-0.02	+5.4	39
2018-02-16	Winterthur	W 2-0	41.4	1370	1410	35.23%	22.93%	41.84%	+0.09	+12.0	18
2018-02-16	@ Wil	L 0-2	41.4	1410	1370	41.84%	22.93%	35.23%	-0.09	-12.0	16
2018-02-17	Schaffhausen	W 3-1	53.0	1480	1512	36.45%	22.96%	40.59%	+0.15	+10.1	27
2018-02-17	@ Rapperswil-Jona	L 1-3	53.0	1512	1480	40.59%	22.96%	36.45%	-0.15	-10.1	36
2018-02-18	Chiasso	W 4-1	42.9	1453	1412	46.71%	22.65%	30.64%	+0.65	+11.5	24
2018-02-18	@ Aarau	L 1-4	42.9	1412	1453	30.64%	22.65%	46.71%	-0.65	-11.5	24
2018-02-18	Wohlen	W 5-1	37.5	1511	1360	60.20%	20.44%	19.35%	+1.39	+9.8	33
2018-02-18	@ Vaduz	L 1-5	37.5	1360	1511	19.35%	20.44%	60.20%	-1.39	-9.8	14
2018-02-19	Servette	D 1-1	69.5	1619	1574	47.30%	22.60%	30.10%	+0.68	-0.5	51
2018-02-19	@ Neuchatel Xamax	D 1-1	69.5	1574	1619	30.10%	22.60%	47.30%	-0.68	+0.5	40
2018-02-23	Rapperswil-Jona	L 1-2	45.7	1350	1490	23.53%	21.59%	54.88%	-0.58	-3.7	14
2018-02-23	@ Wohlen	W 2-1	45.7	1490	1350	54.88%	21.59%	23.53%	+0.58	+3.7	30
2018-02-24	Aarau	W 4-0	40.7	1574	1465	55.44%	21.49%	23.07%	+1.11	+13.9	43
2018-02-24	@ Servette	L 0-4	40.7	1465	1574	23.07%	21.49%	55.44%	-1.11	-13.9	24
2018-02-24	Wil	L 1-2	56.8	1501	1382	56.65%	21.25%	22.09%	+1.18	-7.7	36
2018-02-24	@ Schaffhausen	W 2-1	56.8	1382	1501	22.09%	21.25%	56.65%	-1.18	+7.7	21
2018-02-26	Neuchatel Xamax	L 0-3	38.0	1401	1619	16.85%	19.49%	63.67%	-1.10	-7.8	24
2018-02-26	@ Chiasso	W 3-0	38.0	1619	1401	63.67%	19.49%	16.85%	+1.10	+7.8	54
2018-03-03	Chiasso	W 2-1	47.2	1494	1393	54.39%	21.68%	23.93%	+1.05	+3.8	39
2018-03-03	@ Schaffhausen	L 1-2	47.2	1393	1494	23.93%	21.68%	54.39%	-1.05	-3.8	24
2018-03-04	Wohlen	W 4-2	45.6	1451	1346	54.83%	21.60%	23.57%	+1.07	+5.8	27
2018-03-04	@ Aarau	L 2-4	45.6	1346	1451	23.57%	21.60%	54.83%	-1.07	-5.8	14
2018-03-05	Neuchatel Xamax	D 4-4	77.0	1398	1627	16.13%	19.17%	64.70%	-1.17	+0.9	17
2018-03-05	@ Winterthur	D 4-4	77.0	1627	1398	64.70%	19.17%	16.13%	+1.17	-0.9	55
2018-03-05	Servette	W 2-1	61.9	1521	1588	31.69%	22.74%	45.57%	-0.09	+6.4	36
2018-03-05	@ Vaduz	L 1-2	61.9	1588	1521	45.57%	22.74%	31.69%	+0.09	-6.4	43
2018-03-08	Aarau	W 2-0	43.1	1494	1457	46.12%	22.70%	31.18%	+0.62	+9.5	33
2018-03-08	@ Rapperswil-Jona	L 0-2	43.1	1457	1494	31.18%	22.70%	46.12%	-0.62	-9.5	27
2018-03-09	Winterthur	W 1-0	44.0	1389	1399	39.54%	22.98%	37.49%	+0.30	+5.8	27
2018-03-09	@ Chiasso	L 0-1	44.0	1399	1389	37.49%	22.98%	39.54%	-0.30	-5.8	17
2018-03-10	Vaduz	D 1-1	60.6	1389	1527	23.73%	21.64%	54.63%	-0.56	+1.0	22
2018-03-10	@ Wil	D 1-1	60.6	1527	1389	54.63%	21.64%	23.73%	+0.56	-1.0	37
2018-03-11	Schaffhausen	W 1-0	49.5	1626	1497	57.63%	21.05%	21.32%	+1.23	+3.6	58
2018-03-11	@ Neuchatel Xamax	L 0-1	49.5	1497	1626	21.32%	21.05%	57.63%	-1.23	-3.6	39
2018-03-11	Wohlen	D 1-1	62.0	1582	1341	69.30%	17.56%	13.14%	+1.99	-2.0	44
2018-03-11	@ Servette	D 1-1	62.0	1341	1582	13.14%	17.56%	69.30%	-1.99	+2.0	15
2018-03-12	Rapperswil-Jona	L 0-1	47.5	1447	1503	33.20%	22.84%	43.96%	-0.01	-5.3	27
2018-03-12	@ Aarau	W 1-0	47.5	1503	1447	43.96%	22.84%	33.20%	+0.01	+5.3	36
2018-03-14	Vaduz	W 1-0	52.3	1393	1526	24.24%	21.74%	54.01%	-0.53	+7.9	20
2018-03-14	@ Winterthur	L 0-1	52.3	1526	1393	54.01%	21.74%	24.24%	+0.53	-7.9	37
2018-03-16	Aarau	W 1-0	46.8	1390	1442	33.78%	22.87%	43.35%	+0.02	+6.6	25
2018-03-16	@ Wil	L 0-1	46.8	1442	1390	43.35%	22.87%	33.78%	-0.02	-6.5	27
2018-03-17	Chiasso	W 3-1	44.0	1508	1395	55.90%	21.40%	22.69%	+1.13	+6.2	39
2018-03-17	@ Rapperswil-Jona	L 1-3	44.0	1395	1508	22.69%	21.40%	55.90%	-1.13	-6.2	27
2018-03-17	Neuchatel Xamax	L 0-3	34.3	1342	1629	12.54%	17.18%	70.28%	-1.57	-5.7	15
2018-03-17	@ Wohlen	W 3-0	34.3	1629	1342	70.28%	17.18%	12.54%	+1.57	+5.7	61
2018-03-18	Schaffhausen	W 2-0	45.9	1518	1494	44.40%	22.81%	32.79%	+0.53	+9.9	40
2018-03-18	@ Vaduz	L 0-2	45.9	1494	1518	32.79%	22.81%	44.40%	-0.53	-9.9	39
2018-03-19	Servette	D 1-1	63.2	1401	1580	19.96%	20.64%	59.40%	-0.84	+1.3	21
2018-03-19	@ Winterthur	D 1-1	63.2	1580	1401	59.40%	20.64%	19.96%	+0.84	-1.3	45
2018-03-24	Servette	L 0-2	35.9	1337	1578	15.23%	18.73%	66.04%	-1.26	-4.8	15
2018-03-24	@ Wohlen	W 2-0	35.9	1578	1337	66.04%	18.73%	15.23%	+1.26	+4.8	48
2018-03-31	Rapperswil-Jona	W 1-0	50.6	1635	1515	56.73%	21.24%	22.03%	+1.18	+3.7	64
2018-03-31	@ Neuchatel Xamax	L 0-1	50.6	1515	1635	22.03%	21.24%	56.73%	-1.18	-3.7	39
2018-03-31	Wohlen	W 4-0	31.8	1484	1332	60.32%	20.42%	19.27%	+1.39	+11.7	42
2018-03-31	@ Schaffhausen	L 0-4	31.8	1332	1484	19.27%	20.42%	60.32%	-1.39	-11.7	15
2018-04-02	Vaduz	L 1-6	40.1	1389	1528	23.56%	21.60%	54.84%	-0.57	-14.4	27
2018-04-02	@ Chiasso	W 6-1	40.1	1528	1389	54.84%	21.60%	23.56%	+0.57	+14.4	43
2018-04-02	Wil	D 1-1	63.6	1583	1397	63.98%	19.39%	16.63%	+1.63	-1.6	49
2018-04-02	@ Servette	D 1-1	63.6	1397	1583	16.63%	19.39%	63.98%	-1.63	+1.6	26
2018-04-02	Winterthur	W 2-1	48.5	1435	1403	45.55%	22.74%	31.71%	+0.59	+4.8	30
2018-04-02	@ Aarau	L 1-2	48.5	1403	1435	31.71%	22.74%	45.55%	-0.59	-4.8	21
2018-04-06	Schaffhausen	L 1-2	48.9	1398	1496	28.02%	22.37%	49.61%	-0.29	-4.3	21
2018-04-06	@ Winterthur	W 2-1	48.9	1496	1398	49.61%	22.37%	28.02%	+0.29	+4.3	45
2018-04-07	Chiasso	L 3-4	54.5	1320	1374	33.46%	22.85%	43.69%	+0.00	-4.7	15
2018-04-07	@ Wohlen	W 4-3	54.5	1374	1320	43.69%	22.85%	33.46%	+0.00	+4.7	30
2018-04-07	Servette	W 2-0	52.7	1511	1582	31.28%	22.71%	46.01%	-0.11	+13.0	42
2018-04-07	@ Rapperswil-Jona	L 0-2	52.7	1582	1511	46.01%	22.71%	31.28%	+0.11	-13.0	49
2018-04-08	Aarau	W 5-1	43.1	1542	1440	54.57%	21.65%	23.78%	+1.06	+11.9	46
2018-04-08	@ Vaduz	L 1-5	43.1	1440	1542	23.78%	21.65%	54.57%	-1.06	-11.9	30
2018-04-09	Neuchatel Xamax	L 2-3	54.3	1399	1639	15.33%	18.78%	65.89%	-1.25	-2.3	26
2018-04-09	@ Wil	W 3-2	54.3	1639	1399	65.89%	18.78%	15.33%	+1.25	+2.3	67
2018-04-12	Wil	D 1-1	60.9	1524	1396	57.56%	21.06%	21.38%	+1.23	-1.2	43
2018-04-12	@ Rapperswil-Jona	D 1-1	60.9	1396	1524	21.38%	21.06%	57.56%	-1.23	+1.2	27
2018-04-13	Vaduz	W 3-1	54.7	1641	1554	52.63%	21.96%	25.40%	+0.95	+6.9	70
2018-04-13	@ Neuchatel Xamax	L 1-3	54.7	1554	1641	25.40%	21.96%	52.63%	-0.95	-6.9	46
2018-04-14	Aarau	W 3-1	46.4	1500	1428	50.74%	22.23%	27.03%	+0.85	+7.3	48
2018-04-14	@ Schaffhausen	L 1-3	46.4	1428	1500	27.03%	22.23%	50.74%	-0.85	-7.3	30
2018-04-15	Servette	W 2-1	59.9	1379	1569	19.01%	20.33%	60.66%	-0.91	+8.2	33
2018-04-15	@ Chiasso	L 1-2	59.9	1569	1379	60.66%	20.33%	19.01%	+0.91	-8.2	49
2018-04-15	Wil	D 0-0	51.3	1316	1397	29.92%	22.58%	47.50%	-0.18	+0.6	16
2018-04-15	@ Wohlen	D 0-0	51.3	1397	1316	47.50%	22.58%	29.92%	+0.18	-0.6	28
2018-04-16	Winterthur	W 3-1	43.9	1523	1393	57.74%	21.02%	21.24%	+1.24	+5.9	46
2018-04-16	@ Rapperswil-Jona	L 1-3	43.9	1393	1523	21.24%	21.02%	57.74%	-1.24	-5.9	21
2018-04-18	Neuchatel Xamax	D 2-2	72.4	1421	1648	16.22%	19.21%	64.57%	-1.16	+1.2	31
2018-04-18	@ Aarau	D 2-2	72.4	1648	1421	64.57%	19.21%	16.22%	+1.16	-1.2	71
2018-04-19	Chiasso	W 1-0	43.1	1397	1387	42.37%	22.91%	34.72%	+0.43	+5.5	31
2018-04-19	@ Wil	L 0-1	43.1	1387	1397	34.72%	22.91%	42.37%	-0.43	-5.5	33
2018-04-19	Rapperswil-Jona	W 4-0	45.6	1547	1528	43.67%	22.85%	33.48%	+0.50	+19.1	49
2018-04-19	@ Vaduz	L 0-4	45.6	1528	1547	33.48%	22.85%	43.67%	-0.50	-19.1	46
2018-04-19	Schaffhausen	L 1-4	55.3	1560	1507	48.32%	22.51%	29.17%	+0.73	-16.5	49
2018-04-19	@ Servette	W 4-1	55.3	1507	1560	29.17%	22.51%	48.32%	-0.73	+16.5	51
2018-04-19	Wohlen	W 2-0	35.5	1388	1316	50.69%	22.24%	27.08%	+0.85	+8.4	24
2018-04-19	@ Winterthur	L 0-2	35.5	1316	1388	27.08%	22.24%	50.69%	-0.85	-8.4	16
2018-04-22	Aarau	L 0-2	40.0	1382	1422	35.25%	22.93%	41.82%	+0.09	-10.5	33
2018-04-22	@ Chiasso	W 2-0	40.0	1422	1382	41.82%	22.93%	35.25%	-0.09	+10.5	34
2018-04-22	Rapperswil-Jona	L 2-4	59.5	1524	1509	43.04%	22.88%	34.08%	+0.47	-9.5	51
2018-04-22	@ Schaffhausen	W 4-2	59.5	1509	1524	34.08%	22.88%	43.04%	-0.47	+9.5	49
2018-04-22	Vaduz	D 2-2	65.8	1308	1567	14.15%	18.16%	67.69%	-1.38	+1.4	17
2018-04-22	@ Wohlen	D 2-2	65.8	1567	1308	67.69%	18.16%	14.15%	+1.38	-1.4	50
2018-04-22	Wil	L 0-3	38.9	1396	1402	40.10%	22.97%	36.93%	+0.33	-16.8	24
2018-04-22	@ Winterthur	W 3-0	38.9	1402	1396	36.93%	22.97%	40.10%	-0.33	+16.9	34
2018-04-23	Neuchatel Xamax	D 0-0	65.5	1544	1647	27.46%	22.29%	50.25%	-0.33	+0.8	50
2018-04-23	@ Servette	D 0-0	65.5	1647	1544	50.25%	22.29%	27.46%	+0.33	-0.8	72
2018-04-27	Winterthur	D 1-1	62.2	1565	1379	63.94%	19.40%	16.66%	+1.62	-1.6	51
2018-04-27	@ Vaduz	D 1-1	62.2	1379	1565	16.66%	19.40%	63.94%	-1.62	+1.6	25
2018-04-28	Schaffhausen	L 0-1	45.3	1419	1514	28.33%	22.41%	49.26%	-0.27	-4.7	34
2018-04-28	@ Wil	W 1-0	45.3	1514	1419	49.26%	22.41%	28.33%	+0.27	+4.7	54
2018-04-28	Servette	L 1-2	51.3	1433	1545	26.41%	22.13%	51.46%	-0.39	-4.1	34
2018-04-28	@ Aarau	W 2-1	51.3	1545	1433	51.46%	22.13%	26.41%	+0.39	+4.1	53
2018-04-29	Wohlen	D 2-2	64.3	1519	1309	66.31%	18.64%	15.05%	+1.78	-1.3	50
2018-04-29	@ Rapperswil-Jona	D 2-2	64.3	1309	1519	15.05%	18.64%	66.31%	-1.78	+1.3	18
2018-04-30	Chiasso	W 1-0	41.5	1646	1371	72.28%	16.37%	11.35%	+2.22	+1.9	75
2018-04-30	@ Neuchatel Xamax	L 0-1	41.5	1371	1646	11.35%	16.37%	72.28%	-2.22	-1.9	33
2018-05-04	Winterthur	D 3-3	75.9	1648	1381	71.60%	16.65%	11.75%	+2.17	-1.3	76
2018-05-04	@ Neuchatel Xamax	D 3-3	75.9	1381	1648	11.75%	16.65%	71.60%	-2.17	+1.3	26
2018-05-05	Rapperswil-Jona	W 2-0	48.0	1414	1518	27.43%	22.29%	50.29%	-0.33	+14.0	37
2018-05-05	@ Wil	L 0-2	48.0	1518	1414	50.29%	22.29%	27.43%	+0.33	-14.0	50
2018-05-05	Vaduz	L 0-1	55.1	1549	1564	38.91%	22.98%	38.11%	+0.27	-6.0	53
2018-05-05	@ Servette	W 1-0	55.1	1564	1549	38.11%	22.98%	38.91%	-0.27	+6.0	54
2018-05-06	Schaffhausen	W 2-0	48.0	1369	1519	22.55%	21.37%	56.08%	-0.64	+15.3	36
2018-05-06	@ Chiasso	L 0-2	48.0	1519	1369	56.08%	21.37%	22.55%	+0.64	-15.3	54
2018-05-07	Aarau	L 1-3	41.1	1310	1429	25.77%	22.03%	52.20%	-0.43	-7.0	18
2018-05-07	@ Wohlen	W 3-1	41.1	1429	1310	52.20%	22.03%	25.77%	+0.43	+7.0	37
2018-05-09	Chiasso	W 2-1	48.3	1382	1385	40.65%	22.96%	36.39%	+0.35	+5.4	29
2018-05-09	@ Winterthur	L 1-2	48.3	1385	1382	36.39%	22.96%	40.65%	-0.35	-5.4	36
2018-05-09	Neuchatel Xamax	W 1-0	60.6	1504	1646	23.22%	21.52%	55.26%	-0.60	+8.0	57
2018-05-09	@ Schaffhausen	L 0-1	60.6	1646	1504	55.26%	21.52%	23.22%	+0.60	-8.0	76
2018-05-09	Wil	D 2-2	69.3	1570	1428	59.10%	20.71%	20.18%	+1.32	-1.0	55
2018-05-09	@ Vaduz	D 2-2	69.3	1428	1570	20.18%	20.71%	59.10%	-1.32	+1.0	38
2018-05-10	Aarau	L 2-3	62.2	1504	1436	50.26%	22.29%	27.45%	+0.83	-6.6	50
2018-05-10	@ Rapperswil-Jona	W 3-2	62.2	1436	1504	27.45%	22.29%	50.26%	-0.83	+6.6	40
2018-05-10	Servette	L 1-3	39.3	1303	1543	15.38%	18.80%	65.82%	-1.25	-4.2	18
2018-05-10	@ Wohlen	W 3-1	39.3	1543	1303	65.82%	18.80%	15.38%	+1.25	+4.2	56
2018-05-12	Vaduz	D 3-3	75.9	1512	1569	33.07%	22.83%	44.10%	-0.02	+0.2	58
2018-05-12	@ Schaffhausen	D 3-3	75.9	1569	1512	44.10%	22.83%	33.07%	+0.02	-0.2	56
2018-05-13	Rapperswil-Jona	L 0-1	42.5	1379	1497	25.79%	22.03%	52.17%	-0.43	-4.3	36
2018-05-13	@ Chiasso	W 1-0	42.5	1497	1379	52.17%	22.03%	25.79%	+0.43	+4.3	53
2018-05-13	Wil	D 2-2	64.3	1442	1429	42.79%	22.89%	34.32%	+0.45	-0.2	41
2018-05-13	@ Aarau	D 2-2	64.3	1429	1442	34.32%	22.89%	42.79%	-0.45	+0.2	39
2018-05-13	Wohlen	W 4-1	36.0	1638	1299	77.41%	14.04%	8.55%	+2.66	+3.1	79
2018-05-13	@ Neuchatel Xamax	L 1-4	36.0	1299	1638	8.55%	14.04%	77.41%	-2.66	-3.1	18
2018-05-14	Winterthur	W 4-2	47.7	1547	1387	61.16%	20.20%	18.64%	+1.44	+4.6	59
2018-05-14	@ Servette	L 2-4	47.7	1387	1547	18.64%	20.20%	61.16%	-1.44	-4.6	29
2018-05-18	Aarau	W 2-0	43.2	1383	1442	32.78%	22.81%	44.41%	-0.03	+12.6	32
2018-05-18	@ Winterthur	L 0-2	43.2	1442	1383	44.41%	22.81%	32.78%	+0.03	-12.6	41
2018-05-18	Chiasso	W 5-2	43.1	1568	1375	64.70%	19.17%	16.13%	+1.67	+5.5	59
2018-05-18	@ Vaduz	L 2-5	43.1	1375	1568	16.13%	19.17%	64.70%	-1.67	-5.5	36
2018-05-18	Neuchatel Xamax	L 0-1	50.9	1501	1642	23.47%	21.58%	54.95%	-0.58	-3.9	53
2018-05-18	@ Rapperswil-Jona	W 1-0	50.9	1642	1501	54.95%	21.58%	23.47%	+0.58	+3.9	82
2018-05-18	Schaffhausen	L 2-5	39.4	1296	1512	17.02%	19.56%	63.42%	-1.09	-5.8	18
2018-05-18	@ Wohlen	W 5-2	39.4	1512	1296	63.42%	19.56%	17.02%	+1.09	+5.8	61
2018-05-18	Servette	L 0-2	42.3	1430	1552	25.33%	21.95%	52.72%	-0.46	-8.0	39
2018-05-18	@ Wil	W 2-0	42.3	1552	1430	52.72%	21.95%	25.33%	+0.46	+8.0	62
2018-05-21	Rapperswil-Jona	L 0-3	50.1	1560	1497	49.53%	22.38%	28.09%	+0.79	-20.0	62
2018-05-21	@ Servette	W 3-0	50.1	1497	1560	28.09%	22.38%	49.53%	-0.79	+20.0	56
2018-05-21	Vaduz	W 4-1	54.8	1429	1574	23.06%	21.49%	55.45%	-0.61	+18.6	44
2018-05-21	@ Aarau	L 1-4	54.8	1574	1429	55.45%	21.49%	23.06%	+0.61	-18.6	59
2018-05-21	Wil	W 6-3	48.0	1645	1422	67.68%	18.16%	14.16%	+1.88	+4.4	85
2018-05-21	@ Neuchatel Xamax	L 3-6	48.0	1422	1645	14.16%	18.16%	67.68%	-1.88	-4.4	39
2018-05-21	Winterthur	W 3-1	44.0	1518	1395	56.93%	21.20%	21.87%	+1.19	+6.0	64
2018-05-21	@ Schaffhausen	L 1-3	44.0	1395	1518	21.87%	21.20%	56.93%	-1.19	-6.0	32
2018-05-21	Wohlen	W 3-0	32.4	1369	1290	51.67%	22.10%	26.22%	+0.90	+11.9	39
2018-05-21	@ Chiasso	L 0-3	32.4	1290	1369	26.22%	22.10%	51.67%	-0.90	-11.9	18

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	2018-04-15	19.01%	@ Chiasso	1379	2	Servette	1569	1
2	2018-02-24	22.09%	Wil	1382	2	@ Schaffhausen	1501	1
3	2018-05-06	22.55%	@ Chiasso	1369	2	Schaffhausen	1519	0
4	2017-09-29	22.96%	@ Aarau	1434	2	Neuchatel Xamax	1580	0
5	2018-05-21	23.06%	@ Aarau	1429	4	Vaduz	1574	1
6	2018-05-09	23.22%	@ Schaffhausen	1504	1	Neuchatel Xamax	1646	0
7	2017-12-02	23.87%	@ Wil	1358	1	Rapperswil-Jona	1494	0
8	2018-03-14	24.24%	@ Winterthur	1393	1	Vaduz	1526	0
9	2017-10-21	24.79%	@ Chiasso	1407	2	Schaffhausen	1535	1
10	2017-09-30	25.25%	@ Rapperswil-Jona	1442	5	Schaffhausen	1565	0
11	2017-09-21	25.33%	@ Wohlen	1400	1	Vaduz	1522	0
12	2018-05-05	27.43%	@ Wil	1414	2	Rapperswil-Jona	1518	0
13	2018-05-10	27.45%	Aarau	1436	3	@ Rapperswil-Jona	1504	2
14	2018-05-21	28.09%	Rapperswil-Jona	1497	3	@ Servette	1560	0
15	2018-02-11	28.74%	Wil	1362	1	@ Chiasso	1419	0
16	2018-04-19	29.17%	Schaffhausen	1507	4	@ Servette	1560	1
17	2018-02-05	31.21%	@ Aarau	1452	2	Schaffhausen	1523	1
18	2018-04-07	31.28%	@ Rapperswil-Jona	1511	2	Servette	1582	0
19	2018-03-05	31.69%	@ Vaduz	1521	2	Servette	1588	1
20	2018-05-18	32.78%	@ Winterthur	1383	2	Aarau	1442	0
21	2017-08-09	32.93%	@ Chiasso	1394	1	Rapperswil-Jona	1452	0
22	2017-08-18	33.12%	Schaffhausen	1546	1	@ Neuchatel Xamax	1568	0
23	2018-03-16	33.78%	@ Wil	1390	1	Aarau	1442	0
24	2018-04-22	34.08%	Rapperswil-Jona	1509	4	@ Schaffhausen	1524	2
25	2018-02-16	35.23%	@ Wil	1370	2	Winterthur	1410	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	2017-09-30	34.05	@ Rapperswil-Jona	5	1442	25.25%	Schaffhausen	0	1565	52.81%	21.94%
2	2017-07-24	27.97	@ Schaffhausen	6	1496	43.67%	Rapperswil-Jona	0	1477	33.47%	22.85%
3	2017-10-20	22.73	Neuchatel Xamax	5	1572	45.19%	@ Vaduz	0	1508	32.05%	22.76%
4	2018-05-21	20.03	Rapperswil-Jona	3	1497	28.09%	@ Servette	0	1560	49.53%	22.38%
5	2018-04-19	19.11	@ Vaduz	4	1547	43.67%	Rapperswil-Jona	0	1528	33.48%	22.85%
6	2018-05-21	18.60	@ Aarau	4	1429	23.06%	Vaduz	1	1574	55.45%	21.49%
7	2017-11-19	18.42	@ Chiasso	4	1421	45.25%	Wohlen	0	1390	31.99%	22.76%
8	2018-04-22	16.86	Wil	3	1402	36.93%	@ Winterthur	0	1396	40.10%	22.97%
9	2018-04-19	16.53	Schaffhausen	4	1507	29.17%	@ Servette	1	1560	48.32%	22.51%
10	2017-08-19	16.17	@ Chiasso	3	1401	39.00%	Wil	0	1414	38.02%	22.98%
11	2017-12-02	15.61	@ Aarau	3	1436	40.70%	Chiasso	0	1438	36.34%	22.96%
12	2018-05-06	15.34	@ Chiasso	2	1369	22.55%	Schaffhausen	0	1519	56.08%	21.37%
13	2017-09-29	15.22	@ Aarau	2	1434	22.96%	Neuchatel Xamax	0	1580	55.58%	21.46%
14	2018-04-02	14.43	Vaduz	6	1528	54.84%	@ Chiasso	1	1389	23.56%	21.60%
15	2018-05-05	13.97	@ Wil	2	1414	27.43%	Rapperswil-Jona	0	1518	50.29%	22.29%
16	2018-02-24	13.88	@ Servette	4	1574	55.44%	Aarau	0	1465	23.07%	21.49%
17	2018-02-10	13.54	Winterthur	4	1397	39.38%	@ Wohlen	1	1373	37.65%	22.98%
18	2018-04-07	12.97	@ Rapperswil-Jona	2	1511	31.28%	Servette	0	1582	46.01%	22.71%
19	2018-05-18	12.59	@ Winterthur	2	1383	32.78%	Aarau	0	1442	44.41%	22.81%
20	2018-02-16	12.00	@ Wil	2	1370	35.23%	Winterthur	0	1410	41.84%	22.93%
21	2018-05-21	11.92	@ Chiasso	3	1369	51.67%	Wohlen	0	1290	26.22%	22.10%
22	2018-04-08	11.89	@ Vaduz	5	1542	54.57%	Aarau	1	1440	23.78%	21.65%
23	2017-11-20	11.72	@ Vaduz	2	1501	36.45%	Schaffhausen	0	1533	40.59%	22.96%
24	2018-03-31	11.69	@ Schaffhausen	4	1484	60.32%	Wohlen	0	1332	19.27%	20.42%
25	2017-11-24	11.68	@ Rapperswil-Jona	2	1482	36.64%	Vaduz	0	1513	40.40%	22.96%

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	2018-02-02	77.4	@ Vaduz	3	1505	26.66%	Neuchatel Xamax	3	1615	51.16%	22.17%
2	2018-03-05	77.0	@ Winterthur	4	1398	16.13%	Neuchatel Xamax	4	1627	64.70%	19.17%
3	2018-05-04	75.9	@ Neuchatel Xamax	3	1648	71.60%	Winterthur	3	1381	11.75%	16.65%
4	2018-05-12	75.9	@ Schaffhausen	3	1512	33.07%	Vaduz	3	1569	44.10%	22.83%
5	2018-04-18	72.4	@ Aarau	2	1421	16.22%	Neuchatel Xamax	2	1648	64.57%	19.21%
6	2017-11-18	72.1	@ Rapperswil-Jona	2	1481	25.29%	Neuchatel Xamax	2	1604	52.76%	21.95%
7	2018-02-19	69.5	@ Neuchatel Xamax	1	1619	47.30%	Servette	1	1574	30.10%	22.60%
8	2018-05-09	69.3	@ Vaduz	2	1570	59.10%	Wil	2	1428	20.18%	20.71%
9	2017-10-23	68.1	@ Aarau	3	1458	49.58%	Winterthur	3	1395	28.05%	22.37%
10	2017-09-09	67.7	@ Vaduz	2	1522	51.78%	Rapperswil-Jona	2	1443	26.13%	22.09%
11	2017-08-10	66.7	@ Vaduz	2	1522	55.63%	Winterthur	2	1411	22.92%	21.45%
12	2017-07-22	66.5	@ Servette	2	1519	55.67%	Chiasso	2	1407	22.88%	21.45%
13	2018-04-22	65.8	@ Wohlen	2	1308	14.15%	Vaduz	2	1567	67.69%	18.16%
14	2018-04-23	65.5	@ Servette	0	1544	27.46%	Neuchatel Xamax	0	1647	50.25%	22.29%
15	2017-07-30	65.1	@ Vaduz	1	1531	42.88%	Servette	1	1518	34.23%	22.89%
16	2017-09-10	64.9	@ Servette	3	1547	38.92%	Schaffhausen	2	1561	38.10%	22.98%
17	2018-04-29	64.3	@ Rapperswil-Jona	2	1519	66.31%	Wohlen	2	1309	15.05%	18.64%
18	2018-05-13	64.3	@ Aarau	2	1442	42.79%	Wil	2	1429	34.32%	22.89%
19	2017-07-29	64.2	@ Aarau	2	1457	47.67%	Wil	2	1408	29.76%	22.57%
20	2017-09-20	63.9	@ Neuchatel Xamax	3	1572	43.76%	Servette	2	1552	33.40%	22.85%
21	2018-04-02	63.6	@ Servette	1	1583	63.98%	Wil	1	1397	16.63%	19.39%
22	2018-02-03	63.5	@ Servette	1	1570	60.30%	Chiasso	1	1418	19.28%	20.42%
23	2018-03-19	63.2	@ Winterthur	1	1401	19.96%	Servette	1	1580	59.40%	20.64%
24	2017-11-04	62.9	@ Servette	1	1573	63.52%	Winterthur	1	1391	16.95%	19.53%
25	2018-04-27	62.2	@ Vaduz	1	1565	63.94%	Winterthur	1	1379	16.66%	19.40%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2018-03-31	31.8	@ Schaffhausen	4	1484	60.32%	Wohlen	0	1332	19.27%	20.42%
2	2018-05-21	32.4	@ Chiasso	3	1369	51.67%	Wohlen	0	1290	26.22%	22.10%
3	2018-03-17	34.3	Neuchatel Xamax	3	1629	70.28%	@ Wohlen	0	1342	12.54%	17.18%
4	2018-04-19	35.5	@ Winterthur	2	1388	50.69%	Wohlen	0	1316	27.08%	22.24%
5	2018-03-24	35.9	Servette	2	1578	66.04%	@ Wohlen	0	1337	15.23%	18.73%
6	2018-05-13	36.0	@ Neuchatel Xamax	4	1638	77.41%	Wohlen	1	1299	8.55%	14.04%
7	2017-11-19	36.2	@ Chiasso	4	1421	45.25%	Wohlen	0	1390	31.99%	22.76%
8	2018-02-18	37.5	@ Vaduz	5	1511	60.20%	Wohlen	1	1360	19.35%	20.44%
9	2018-02-26	38.0	Neuchatel Xamax	3	1619	63.67%	@ Chiasso	0	1401	16.85%	19.49%
10	2017-11-18	38.5	@ Winterthur	2	1392	43.99%	Wil	0	1371	33.18%	22.84%
11	2017-08-19	38.7	@ Chiasso	3	1401	39.00%	Wil	0	1414	38.02%	22.98%
12	2017-08-05	38.9	@ Schaffhausen	2	1535	58.33%	Chiasso	0	1400	20.78%	20.89%
13	2018-04-22	38.9	Wil	3	1402	36.93%	@ Winterthur	0	1396	40.10%	22.97%
14	2018-05-10	39.3	Servette	3	1543	65.82%	@ Wohlen	1	1303	15.38%	18.80%
15	2018-05-18	39.4	Schaffhausen	5	1512	63.42%	@ Wohlen	2	1296	17.02%	19.56%
16	2017-08-25	39.5	@ Servette	3	1535	53.49%	Aarau	0	1442	24.68%	21.83%
17	2017-12-02	39.8	@ Aarau	3	1436	40.70%	Chiasso	0	1438	36.34%	22.96%
18	2017-09-21	40.0	@ Schaffhausen	2	1556	59.05%	Winterthur	0	1415	20.22%	20.73%
19	2018-04-22	40.0	Aarau	2	1422	41.82%	@ Chiasso	0	1382	35.25%	22.93%
20	2018-04-02	40.1	Vaduz	6	1528	54.84%	@ Chiasso	1	1389	23.56%	21.60%
21	2017-09-08	40.2	@ Aarau	2	1431	43.93%	Wohlen	0	1410	33.23%	22.84%
22	2017-07-28	40.7	Neuchatel Xamax	2	1548	54.93%	@ Chiasso	0	1408	23.49%	21.58%
23	2017-09-24	40.7	@ Servette	5	1547	58.97%	Wohlen	1	1407	20.29%	20.75%
24	2018-02-24	40.7	@ Servette	4	1574	55.44%	Aarau	0	1465	23.07%	21.49%
25	2017-08-21	41.0	Servette	2	1527	51.86%	@ Winterthur	0	1412	26.07%	22.08%