2022-23 Challenge League Season

180 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

Yverdon-Sport

17.26 points above expected

66 points · 48.74 expected points

Biggest Disappointment

Neuchatel Xamax

15.23 points below expected

24 points · 39.23 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	Yverdon-Sport	36	20	6	10	66	64	53	+11	48.74	+17.26
2	Lausanne-Sport	36	17	10	9	61	58	43	+15	54.32	+6.68
3	Lausanne-Ouchy	36	17	9	10	60	70	53	+17	48.66	+11.34
4	Aarau	36	15	12	9	57	63	57	+6	51.82	+5.18
5	Wil	36	16	8	12	56	62	52	+10	48.17	+7.83
6	Thun	36	12	13	11	49	62	55	+7	50.62	-1.62
7	Schaffhausen	36	12	8	16	44	51	59	-8	48.84	-4.84
8	Vaduz	36	7	16	13	37	54	56	-2	45.68	-8.68
9	Bellinzona	36	11	4	21	37	38	71	-33	43.89	-6.89
10	Neuchatel Xamax	36	4	12	20	24	42	65	-23	39.23	-15.23

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	Yverdon-Sport	66	48.74	+17.26
2	Lausanne-Ouchy	60	48.66	+11.34
3	Wil	56	48.17	+7.83
4	Lausanne-Sport	61	54.32	+6.68
5	Aarau	57	51.82	+5.18

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Neuchatel Xamax	24	39.23	-15.23
2	Vaduz	37	45.68	-8.68
3	Bellinzona	37	43.89	-6.89
4	Schaffhausen	44	48.84	-4.84
5	Thun	49	50.62	-1.62

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	Yverdon-Sport	4	Oct 14 – Oct 28	1 in 173
2	Lausanne-Ouchy	4	Apr 28 – May 19	1 in 79
3	Aarau	4	Apr 8 – Apr 30	1 in 77
4	Wil	3	Jul 31 – Aug 12	1 in 47
5	Lausanne-Sport	3	Jan 29 – Feb 10	1 in 24

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Neuchatel Xamax	7	Jul 17 – Sep 3	1 in 708
2	Bellinzona	5	Nov 18 – Feb 12	1 in 256
3	Vaduz	4	Jul 31 – Aug 28	1 in 79
4	Wil	3	Mar 17 – Apr 8	1 in 40
5	Lausanne-Ouchy	3	Jan 29 – Feb 12	1 in 36

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Wil	11	Oct 18 – Feb 17	1 in 56
2	Thun	9	Feb 5 – Apr 8	1 in 28
3	Aarau	9	Apr 8 – May 27	1 in 28
4	Neuchatel Xamax	6	Oct 17 – Nov 18	1 in 20
5	Lausanne-Sport	8	Nov 27 – Mar 10	1 in 15

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Thun	8	Apr 14 – May 27	1 in 83
2	Bellinzona	13	Nov 5 – Mar 31	1 in 81
3	Vaduz	10	Jul 15 – Oct 9	1 in 53
4	Schaffhausen	8	Oct 9 – Nov 19	1 in 27
5	Aarau	6	Sep 30 – Oct 28	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
Yverdon-Sport	1521	66	+10	10	6.6	+3.4
Lausanne-Sport	1543	61	+6	8	7.2	+0.8
Lausanne-Ouchy	1535	60	+44	13	7.6	+5.4
Aarau	1533	57	+12	9	7.3	+1.7
Wil	1488	56	-16	4	6.8	-2.8
Thun	1516	49	-30	2	7.9	-5.9
Schaffhausen	1478	44	-7	7	6.9	+0.1
Bellinzona	1402	37	-10	6	5.0	+1.0
Vaduz	1490	37	+6	5	6.1	-1.1
Neuchatel Xamax	1401	24	-14	4	5.4	-1.4

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	BEL	LAU	LAU	NX	SCH	THU	VAD	WIL	YVE
Aarau	—	3-0-1 6.01	1-1-2 5.65	0-2-2 5.20	2-2-0 6.38	3-1-0 5.71	2-2-0 5.50	1-1-2 6.03	2-1-1 5.47	1-2-1 5.77
Bellinzona	1-0-3 4.67	—	0-0-4 5.01	2-2-0 4.56	1-1-2 5.84	0-0-4 5.02	1-1-2 4.68	2-0-2 5.12	2-0-2 4.75	2-0-2 5.14
Lausanne-Ouchy	2-1-1 5.02	4-0-0 5.70	—	1-1-2 4.90	2-1-1 6.31	2-0-2 5.35	1-3-0 4.99	1-2-1 5.78	2-1-1 5.18	2-0-2 5.38
Lausanne-Sport	2-2-0 5.45	0-2-2 6.14	2-1-1 5.78	—	4-0-0 6.79	2-2-0 5.83	1-1-2 5.71	1-2-1 6.16	3-0-1 5.75	2-0-2 5.94
Neuchatel Xamax	0-2-2 4.32	2-1-1 4.82	1-1-2 4.38	0-0-4 3.95	—	0-3-1 4.63	0-2-2 4.29	1-2-1 4.64	0-1-3 4.46	0-0-4 4.59
Schaffhausen	0-1-3 4.96	4-0-0 5.65	2-0-2 5.30	0-2-2 4.82	1-3-0 6.05	—	2-0-2 5.28	2-2-0 5.63	1-0-3 5.23	0-0-4 5.59
Thun	0-2-2 5.17	2-1-1 6.03	0-3-1 5.65	2-1-1 4.96	2-2-0 6.41	2-0-2 5.39	—	2-2-0 5.52	1-2-1 5.46	1-0-3 5.61
Vaduz	2-1-1 4.63	2-0-2 5.52	1-2-1 4.88	1-2-1 4.53	1-2-1 6.03	0-2-2 5.02	0-2-2 5.15	—	0-2-2 5.32	0-3-1 5.19
Wil	1-1-2 5.21	2-0-2 5.92	1-1-2 5.47	1-0-3 4.92	3-1-0 6.23	3-0-1 5.43	1-2-1 5.18	2-2-0 5.33	—	2-1-1 5.48
Yverdon-Sport	1-2-1 4.88	2-0-2 5.56	2-0-2 5.26	2-0-2 4.72	4-0-0 6.09	4-0-0 5.07	3-0-1 5.03	1-3-0 5.49	1-1-2 5.16	—

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	0.70	+11.0
Allowed	0.56	-13.1
Differential	0.72	+6.8

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	5.00%	5.83%	6.39%	1.67%	1.94%	0.83%	21.67%
1	5.83%	12.22%	7.78%	3.61%	1.39%	1.94%	32.78%
2	6.39%	7.78%	7.22%	2.78%	0.83%	0.28%	25.28%
3	1.67%	3.61%	2.78%	2.78%	1.11%	—	11.94%
4	1.94%	1.39%	0.83%	1.11%	—	—	5.28%
5+	0.83%	1.94%	0.28%	—	—	—	3.06%
Total	21.67%	32.78%	25.28%	11.94%	5.28%	3.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.57	1.57	+0.00
SD	1.30	1.30	1.92
CV	0.83	0.83	—
Max	6	6	+6
Min	0	0	-6

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	2.78%	2.78%	—	2.78%	—	13.89%
1	11.11%	5.56%	8.33%	—	2.78%	2.78%	30.56%
2	8.33%	5.56%	16.67%	2.78%	—	—	33.33%
3	2.78%	—	5.56%	5.56%	—	—	13.89%
4	2.78%	—	—	2.78%	—	—	5.56%
5+	—	—	2.78%	—	—	—	2.78%
Total	30.56%	13.89%	36.11%	11.11%	5.56%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.75	1.58	+0.17
SD	1.20	1.42	1.80
CV	0.69	0.90	—
Max	5	6	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	8.33%	11.11%	5.56%	5.56%	2.78%	33.33%
1	11.11%	11.11%	11.11%	5.56%	2.78%	5.56%	47.22%
2	2.78%	2.78%	—	—	—	—	5.56%
3	2.78%	2.78%	5.56%	—	—	—	11.11%
4	—	—	—	—	—	—	—
5+	—	2.78%	—	—	—	—	2.78%
Total	16.67%	27.78%	27.78%	11.11%	8.33%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.97	-0.92
SD	1.15	1.61	2.25
CV	1.08	0.82	—
Max	5	6	+4
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	2.78%	—	2.78%	—	16.67%
1	2.78%	5.56%	8.33%	—	—	2.78%	19.44%
2	11.11%	16.67%	8.33%	—	2.78%	—	38.89%
3	—	—	2.78%	2.78%	5.56%	—	11.11%
4	—	5.56%	2.78%	—	—	—	8.33%
5+	5.56%	—	—	—	—	—	5.56%
Total	27.78%	30.56%	25.00%	2.78%	11.11%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.94	1.47	+0.47
SD	1.43	1.38	2.04
CV	0.74	0.94	—
Max	6	5	+6
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	13.89%	2.78%	—	2.78%	—	27.78%
1	2.78%	11.11%	2.78%	2.78%	—	—	19.44%
2	5.56%	19.44%	5.56%	—	—	—	30.56%
3	—	2.78%	5.56%	2.78%	—	—	11.11%
4	2.78%	2.78%	2.78%	—	—	—	8.33%
5+	—	2.78%	—	—	—	—	2.78%
Total	19.44%	52.78%	19.44%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	1.19	+0.42
SD	1.38	0.92	1.61
CV	0.86	0.77	—
Max	5	4	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	8.33%	11.11%	—	—	—	22.22%
1	—	25.00%	16.67%	5.56%	—	2.78%	50.00%
2	—	5.56%	2.78%	8.33%	—	2.78%	19.44%
3	2.78%	—	—	2.78%	—	—	5.56%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	8.33%	38.89%	30.56%	16.67%	—	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.17	1.81	-0.64
SD	0.94	1.26	1.53
CV	0.81	0.70	—
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%	11.11%	2.78%	—	2.78%	25.00%
1	8.33%	13.89%	8.33%	2.78%	—	2.78%	36.11%
2	8.33%	2.78%	5.56%	—	2.78%	—	19.44%
3	—	2.78%	2.78%	—	5.56%	—	11.11%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	22.22%	30.56%	27.78%	5.56%	8.33%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.64	-0.22
SD	1.23	1.42	1.96
CV	0.87	0.86	—
Max	4	5	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	8.33%	2.78%	2.78%	—	—	13.89%
1	2.78%	16.67%	2.78%	8.33%	—	—	30.56%
2	5.56%	8.33%	13.89%	5.56%	—	—	33.33%
3	2.78%	8.33%	—	5.56%	—	—	16.67%
4	—	—	2.78%	—	—	—	2.78%
5+	2.78%	—	—	—	—	—	2.78%
Total	13.89%	41.67%	22.22%	22.22%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.72	1.53	+0.19
SD	1.16	1.00	1.62
CV	0.67	0.65	—
Max	5	3	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	5.56%	11.11%	2.78%	—	—	30.56%
1	2.78%	16.67%	2.78%	5.56%	2.78%	—	30.56%
2	2.78%	2.78%	11.11%	2.78%	2.78%	—	22.22%
3	—	—	—	5.56%	—	—	5.56%
4	2.78%	—	—	—	—	—	2.78%
5+	—	8.33%	—	—	—	—	8.33%
Total	19.44%	33.33%	25.00%	16.67%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.50	1.56	-0.06
SD	1.63	1.16	1.98
CV	1.09	0.74	—
Max	6	4	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	—	5.56%	2.78%	2.78%	—	19.44%
1	8.33%	11.11%	13.89%	—	2.78%	2.78%	38.89%
2	8.33%	—	2.78%	2.78%	—	—	13.89%
3	2.78%	8.33%	2.78%	—	—	—	13.89%
4	2.78%	—	—	5.56%	—	—	8.33%
5+	—	5.56%	—	—	—	—	5.56%
Total	30.56%	25.00%	25.00%	11.11%	5.56%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.72	1.44	+0.28
SD	1.52	1.34	2.12
CV	0.88	0.93	—
Max	6	5	+5
Min	0	0	-4

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.78	1.47	+0.31
SD	1.10	1.36	1.92
CV	0.62	0.93	—
Max	4	5	+4
Min	0	0	-5

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
Lausanne-Sport	1562	61	54.32	+6.68	79.0%	34	41	48	55	59	66	70
Lausanne-Ouchy	1535	60	48.66	+11.34	95.0%	27	37	44	48	53	60	67
Aarau	1533	57	51.82	+5.18	76.0%	35	40	46	52	57	63	69
Yverdon-Sport	1521	66	48.74	+17.26	100.0%	28	36	44	49	54	59	66
Thun	1516	49	50.62	-1.62	43.0%	33	36	45	51	56	62	71
Vaduz	1490	37	45.68	-8.68	10.0%	30	35	40	45	50	60	66
Wil	1488	56	48.17	+7.83	83.0%	33	37	43	47	52	61	62
Schaffhausen	1478	44	48.84	-4.84	31.0%	31	35	43	49	53	62	69
Bellinzona	1402	37	43.89	-6.89	17.0%	25	32	39	43	49	56	61
Neuchatel Xamax	1401	24	39.23	-15.23	4.0%	18	25	34	40	44	50	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

+9.44%

No Edge

41.11%27.22%31.67%

Elo Value

Home Edge: 32.91 Elo pts.

265 Elo

0.004 goals per Elo point

0800

Scoring Tilt

Expected

+0.24 goals

Neutral

-2+0.12+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

6.0

Wide Open

123410

Champion Preseason Odds

10%

Yverdon-Sport, 5th of 10

LongshotFavorite

Title Margin

Expected

0.14/gm

Comfortable

00.130.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.89 * Some Luck: 5.89 to 8.83 * Lucky: 8.83 to 11.77 * Wild Swing: 11.77 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 1.86 * Close: 1.86 to 2.79 * Off: 2.79 to 3.72 * Way Off: 3.72 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

9.63 points

Lucky

07.3618

Average Finish Error

Expected

1.80

Pinpoint

02.325

Biggest Overachiever

Expected 95.00%

100.00%

Yverdon-Sport

50100

Biggest Underachiever

Expected 5.00%

4.00%

Neuchatel Xamax

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

0.14

Even

00.130.20.5

Noll-Scully

Elo SD: 51.84

1.71

Moderate Separation

0.751.51.82.153

Interquartile Edge

57%

Even

50%63.5%74.5%100%

Best vs. Worst

Baseline

69%

Even

50%73%100%

Close Games

Expected

62%

Frequent

0%56%100%

Blowouts

Expected

16%

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

0.66

Hard to Predict

00.652

Matchup Imbalance

0.20

Very Even

00.340.420.5

Strangeness

Expected

1.81

Chaotic

01.002

Repeatability

-0.26

Weak Carryover

00.380.570.71

Upset Rate

Expected

33%

Very Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

27%

Very Shaky

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 0.12 * Near Noise Ceiling: 0.12 to 0.17 * Above Noise: 0.17 to 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.36

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

0.69

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.083

Well Within Noise

00.1150.3

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
Yverdon-Sport	10.00%	12.00%	12.00%	12.00%	13.00%	8.00%	11.00%	4.00%	10.00%	8.00%
Lausanne-Sport	30.00%	19.00%	12.00%	10.00%	8.00%	6.00%	6.00%	1.00%	6.00%	2.00%
Lausanne-Ouchy	7.00%	10.00%	18.00%	8.00%	9.00%	14.00%	11.00%	11.00%	8.00%	4.00%
Aarau	14.00%	17.00%	17.00%	13.00%	9.00%	7.00%	8.00%	6.00%	5.00%	4.00%
Wil	8.00%	10.00%	7.00%	12.00%	11.00%	15.00%	10.00%	11.00%	12.00%	4.00%
Thun	14.00%	13.00%	11.00%	12.00%	12.00%	12.00%	9.00%	7.00%	5.00%	5.00%
Schaffhausen	12.00%	11.00%	12.00%	8.00%	17.00%	8.00%	9.00%	6.00%	6.00%	11.00%
Vaduz	5.00%	2.00%	4.00%	12.00%	10.00%	17.00%	10.00%	18.00%	10.00%	12.00%
Bellinzona	—	6.00%	6.00%	8.00%	9.00%	7.00%	12.00%	19.00%	20.00%	13.00%
Neuchatel Xamax	—	—	1.00%	5.00%	2.00%	6.00%	14.00%	17.00%	18.00%	37.00%

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	Qualified for relegation playoff
Lausanne-Sport	49.00%	12.00%	37.00%	2.00%
Aarau	31.00%	17.00%	48.00%	4.00%
Thun	27.00%	11.00%	57.00%	5.00%
Schaffhausen	23.00%	12.00%	54.00%	11.00%
Yverdon-Sport	22.00%	12.00%	58.00%	8.00%
Wil	18.00%	7.00%	71.00%	4.00%
Vaduz	7.00%	4.00%	77.00%	12.00%
Bellinzona	6.00%	6.00%	75.00%	13.00%
Lausanne-Ouchy	—	100%	—	—
Neuchatel Xamax	—	1.00%	62.00%	37.00%

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
2022-07-15	Lausanne-Ouchy	W 2-1	53.2	1458	1471	36.84%	34.00%	29.16%	+0.07	+4.6	3
2022-07-15	@ Yverdon-Sport	L 1-2	53.2	1471	1458	29.16%	34.00%	36.84%	-0.07	-4.6	0
2022-07-15	Thun	W 1-0	49.6	1514	1493	41.70%	33.24%	25.06%	+0.20	+4.3	3
2022-07-15	@ Schaffhausen	L 0-1	49.6	1493	1514	25.06%	33.24%	41.70%	-0.20	-4.3	0
2022-07-15	Vaduz	D 1-1	59.5	1510	1500	40.22%	33.53%	26.24%	+0.16	-0.4	1
2022-07-15	@ Aarau	D 1-1	59.5	1500	1510	26.24%	33.53%	40.22%	-0.16	+0.4	1
2022-07-16	Lausanne-Sport	W 1-0	50.4	1531	1505	42.45%	33.07%	24.48%	+0.22	+4.3	3
2022-07-16	@ Bellinzona	L 0-1	50.4	1505	1531	24.48%	33.07%	42.45%	-0.22	-4.3	0
2022-07-17	Neuchatel Xamax	W 2-0	44.7	1456	1469	36.82%	34.00%	29.18%	+0.07	+9.2	3
2022-07-17	@ Wil	L 0-2	44.7	1469	1456	29.18%	34.00%	36.82%	-0.07	-9.2	0
2022-07-22	Aarau	L 1-2	55.5	1460	1510	31.67%	34.17%	34.16%	-0.06	-4.9	0
2022-07-22	@ Neuchatel Xamax	W 2-1	55.5	1510	1460	34.16%	34.17%	31.67%	+0.06	+4.8	4
2022-07-22	Bellinzona	D 1-1	59.8	1488	1535	32.05%	34.18%	33.77%	-0.05	+0.0	1
2022-07-22	@ Thun	D 1-1	59.8	1535	1488	33.77%	34.18%	32.05%	+0.05	-0.0	4
2022-07-22	Schaffhausen	W 5-1	50.2	1500	1518	36.21%	34.05%	29.74%	+0.06	+14.7	3
2022-07-22	@ Lausanne-Sport	L 1-5	50.2	1518	1500	29.74%	34.05%	36.21%	-0.06	-14.7	3
2022-07-23	Wil	W 2-1	52.7	1466	1465	38.95%	33.74%	27.31%	+0.13	+4.4	3
2022-07-23	@ Lausanne-Ouchy	L 1-2	52.7	1465	1466	27.31%	33.74%	38.95%	-0.13	-4.4	3
2022-07-24	Yverdon-Sport	D 3-3	67.8	1500	1462	44.02%	32.67%	23.30%	+0.27	-0.4	2
2022-07-24	@ Vaduz	D 3-3	67.8	1462	1500	23.30%	32.67%	44.02%	-0.27	+0.4	4
2022-07-29	Lausanne-Sport	L 1-2	59.7	1515	1515	38.71%	33.78%	27.51%	+0.12	-5.6	4
2022-07-29	@ Aarau	W 2-1	59.7	1515	1515	27.51%	33.78%	38.71%	-0.12	+5.6	6
2022-07-29	Neuchatel Xamax	W 2-0	43.4	1504	1455	45.40%	32.28%	22.33%	+0.31	+7.5	6
2022-07-29	@ Schaffhausen	L 0-2	43.4	1455	1504	22.33%	32.28%	45.40%	-0.31	-7.5	0
2022-07-29	Thun	W 3-1	51.7	1463	1489	35.06%	34.13%	30.81%	+0.03	+8.3	7
2022-07-29	@ Yverdon-Sport	L 1-3	51.7	1489	1463	30.81%	34.13%	35.06%	-0.03	-8.3	1
2022-07-30	Lausanne-Ouchy	L 1-4	55.7	1535	1471	47.58%	31.55%	20.86%	+0.37	-15.8	4
2022-07-30	@ Bellinzona	W 4-1	55.7	1471	1535	20.86%	31.55%	47.58%	-0.37	+15.8	6
2022-07-31	Vaduz	W 2-0	47.1	1461	1500	33.16%	34.18%	32.66%	-0.02	+9.9	6
2022-07-31	@ Wil	L 0-2	47.1	1500	1461	32.66%	34.18%	33.16%	+0.02	-9.9	2
2022-08-05	Aarau	D 2-2	64.1	1480	1509	34.63%	34.15%	31.22%	+0.01	-0.1	2
2022-08-05	@ Thun	D 2-2	64.1	1509	1480	31.22%	34.15%	34.63%	-0.01	+0.1	5
2022-08-05	Wil	L 0-1	54.2	1511	1471	44.35%	32.58%	23.06%	+0.28	-6.5	6
2022-08-05	@ Schaffhausen	W 1-0	54.2	1471	1511	23.06%	32.58%	44.35%	-0.28	+6.5	9
2022-08-05	Yverdon-Sport	L 2-3	60.1	1448	1471	35.50%	34.10%	30.39%	+0.04	-5.0	0
2022-08-05	@ Neuchatel Xamax	W 3-2	60.1	1471	1448	30.39%	34.10%	35.50%	-0.04	+5.0	10
2022-08-07	Bellinzona	L 2-3	63.1	1490	1520	34.53%	34.15%	31.31%	+0.01	-4.9	2
2022-08-07	@ Vaduz	W 3-2	63.1	1520	1490	31.31%	34.15%	34.53%	-0.01	+4.9	7
2022-08-07	Lausanne-Ouchy	D 0-0	55.6	1521	1487	43.47%	32.82%	23.71%	+0.25	-0.7	7
2022-08-07	@ Lausanne-Sport	D 0-0	55.6	1487	1521	23.71%	32.82%	43.47%	-0.25	+0.6	7
2022-08-12	Aarau	L 0-4	49.6	1524	1509	40.87%	33.41%	25.72%	+0.18	-21.9	7
2022-08-12	@ Bellinzona	W 4-0	49.6	1509	1524	25.72%	33.41%	40.87%	-0.18	+21.9	8
2022-08-12	Lausanne-Sport	L 0-1	49.0	1443	1520	28.08%	33.86%	38.06%	-0.17	-4.7	0
2022-08-12	@ Neuchatel Xamax	W 1-0	49.0	1520	1443	38.06%	33.86%	28.08%	+0.17	+4.7	10
2022-08-12	Wil	L 1-3	54.0	1476	1477	38.57%	33.80%	27.64%	+0.12	-9.6	10
2022-08-12	@ Yverdon-Sport	W 3-1	54.0	1477	1476	27.64%	33.80%	38.57%	-0.12	+9.6	12
2022-08-13	Schaffhausen	L 0-2	49.3	1487	1505	36.30%	34.05%	29.65%	+0.06	-10.6	7
2022-08-13	@ Lausanne-Ouchy	W 2-0	49.3	1505	1487	29.65%	34.05%	36.30%	-0.06	+10.6	9
2022-08-14	Thun	L 2-4	59.0	1485	1480	39.43%	33.67%	26.90%	+0.14	-8.7	2
2022-08-14	@ Vaduz	W 4-2	59.0	1480	1485	26.90%	33.67%	39.43%	-0.14	+8.7	5
2022-08-26	Thun	D 1-1	58.1	1487	1489	38.43%	33.81%	27.75%	+0.12	-0.3	13
2022-08-26	@ Wil	D 1-1	58.1	1489	1487	27.75%	33.81%	38.43%	-0.12	+0.3	6
2022-08-27	Lausanne-Ouchy	D 3-3	69.7	1531	1477	46.26%	32.00%	21.74%	+0.33	-0.5	9
2022-08-27	@ Aarau	D 3-3	69.7	1477	1531	21.74%	32.00%	46.26%	-0.33	+0.4	8
2022-08-27	Neuchatel Xamax	W 3-1	47.6	1503	1438	47.55%	31.56%	20.89%	+0.37	+6.1	10
2022-08-27	@ Bellinzona	L 1-3	47.6	1438	1503	20.89%	31.56%	47.55%	-0.37	-6.1	0
2022-08-27	Yverdon-Sport	L 1-2	59.5	1515	1466	45.51%	32.24%	22.25%	+0.31	-6.2	9
2022-08-27	@ Schaffhausen	W 2-1	59.5	1466	1515	22.25%	32.24%	45.51%	-0.31	+6.2	13
2022-08-28	Vaduz	W 3-1	50.5	1525	1476	45.43%	32.27%	22.31%	+0.31	+6.5	13
2022-08-28	@ Lausanne-Sport	L 1-3	50.5	1476	1525	22.31%	32.27%	45.43%	-0.31	-6.4	2
2022-09-02	Bellinzona	L 0-1	51.5	1472	1509	33.59%	34.18%	32.23%	-0.01	-5.4	13
2022-09-02	@ Yverdon-Sport	W 1-0	51.5	1509	1472	32.23%	34.18%	33.59%	+0.01	+5.4	13
2022-09-02	Lausanne-Sport	W 2-0	49.4	1489	1531	32.76%	34.19%	33.05%	-0.03	+10.0	9
2022-09-02	@ Thun	L 0-2	49.4	1531	1489	33.05%	34.19%	32.76%	+0.03	-10.0	13
2022-09-03	Neuchatel Xamax	W 2-1	50.1	1477	1432	44.96%	32.41%	22.63%	+0.29	+3.8	11
2022-09-03	@ Lausanne-Ouchy	L 1-2	50.1	1432	1477	22.63%	32.41%	44.96%	-0.29	-3.8	0
2022-09-03	Wil	W 2-1	54.1	1531	1486	44.89%	32.43%	22.68%	+0.29	+3.8	12
2022-09-03	@ Aarau	L 1-2	54.1	1486	1531	22.68%	32.43%	44.89%	-0.29	-3.8	13
2022-09-04	Schaffhausen	D 1-1	58.1	1470	1509	33.18%	34.18%	32.64%	-0.02	-0.0	3
2022-09-04	@ Vaduz	D 1-1	58.1	1509	1470	32.64%	34.18%	33.18%	+0.02	+0.0	10
2022-09-09	Aarau	L 0-2	50.9	1509	1535	35.11%	34.13%	30.76%	+0.03	-10.4	10
2022-09-09	@ Schaffhausen	W 2-0	50.9	1535	1509	30.76%	34.13%	35.11%	-0.03	+10.4	15
2022-09-10	Thun	D 2-2	63.8	1481	1499	36.15%	34.06%	29.79%	+0.06	-0.1	12
2022-09-10	@ Lausanne-Ouchy	D 2-2	63.8	1499	1481	29.79%	34.06%	36.15%	-0.06	+0.1	10
2022-09-11	Bellinzona	W 5-1	50.0	1483	1514	34.28%	34.16%	31.56%	+0.01	+15.3	16
2022-09-11	@ Wil	L 1-5	50.0	1514	1483	31.56%	34.16%	34.28%	-0.01	-15.3	13
2022-09-11	Vaduz	D 1-1	55.3	1428	1470	32.83%	34.19%	32.98%	-0.03	+0.0	1
2022-09-11	@ Neuchatel Xamax	D 1-1	55.3	1470	1428	32.98%	34.19%	32.83%	+0.03	+0.0	4
2022-09-11	Yverdon-Sport	W 3-2	57.8	1521	1467	46.20%	32.02%	21.78%	+0.33	+3.5	16
2022-09-11	@ Lausanne-Sport	L 2-3	57.8	1467	1521	21.78%	32.02%	46.20%	-0.33	-3.5	13
2022-09-30	Aarau	D 2-2	64.9	1464	1545	27.54%	33.78%	38.68%	-0.18	+0.2	14
2022-09-30	@ Yverdon-Sport	D 2-2	64.9	1545	1464	38.68%	33.78%	27.54%	+0.18	-0.2	16
2022-09-30	Neuchatel Xamax	W 2-1	49.7	1499	1428	48.44%	31.24%	20.32%	+0.39	+3.4	13
2022-09-30	@ Thun	L 1-2	49.7	1428	1499	20.32%	31.24%	48.44%	-0.39	-3.4	1
2022-09-30	Wil	W 4-0	44.2	1525	1498	42.47%	33.07%	24.46%	+0.23	+15.3	19
2022-09-30	@ Lausanne-Sport	L 0-4	44.2	1498	1525	24.46%	33.07%	42.47%	-0.23	-15.3	16
2022-10-02	Lausanne-Ouchy	L 0-2	48.0	1470	1481	37.21%	33.96%	28.83%	+0.08	-10.8	4
2022-10-02	@ Vaduz	W 2-0	48.0	1481	1470	28.83%	33.96%	37.21%	-0.08	+10.8	15
2022-10-02	Schaffhausen	L 1-3	55.7	1499	1499	38.76%	33.77%	27.47%	+0.12	-9.6	13
2022-10-02	@ Bellinzona	W 3-1	55.7	1499	1499	27.47%	33.77%	38.76%	-0.12	+9.6	13
2022-10-07	Bellinzona	W 4-0	44.0	1425	1489	29.73%	34.05%	36.22%	-0.12	+20.2	4
2022-10-07	@ Neuchatel Xamax	L 0-4	44.0	1489	1425	36.22%	34.05%	29.73%	+0.12	-20.2	13
2022-10-07	Thun	D 2-2	66.7	1545	1503	44.55%	32.52%	22.92%	+0.28	-0.5	17
2022-10-07	@ Aarau	D 2-2	66.7	1503	1545	22.92%	32.52%	44.55%	-0.28	+0.5	14
2022-10-08	Lausanne-Sport	W 2-1	58.5	1492	1540	31.86%	34.17%	33.97%	-0.06	+5.1	18
2022-10-08	@ Lausanne-Ouchy	L 1-2	58.5	1540	1492	33.97%	34.17%	31.86%	+0.06	-5.1	19
2022-10-08	Yverdon-Sport	W 4-0	41.7	1483	1464	41.38%	33.31%	25.31%	+0.20	+15.7	19
2022-10-08	@ Wil	L 0-4	41.7	1464	1483	25.31%	33.31%	41.38%	-0.20	-15.7	14
2022-10-09	Vaduz	D 2-2	63.8	1508	1459	45.53%	32.23%	22.23%	+0.31	-0.5	14
2022-10-09	@ Schaffhausen	D 2-2	63.8	1459	1508	22.23%	32.23%	45.53%	-0.31	+0.5	5
2022-10-14	Lausanne-Ouchy	L 0-2	50.5	1503	1497	39.68%	33.63%	26.70%	+0.15	-11.3	14
2022-10-14	@ Thun	W 2-0	50.5	1497	1503	26.70%	33.63%	39.68%	-0.15	+11.3	21
2022-10-14	Neuchatel Xamax	W 2-1	50.9	1535	1445	50.89%	30.25%	18.86%	+0.46	+3.2	22
2022-10-14	@ Lausanne-Sport	L 1-2	50.9	1445	1535	18.86%	30.25%	50.89%	-0.46	-3.2	4
2022-10-14	Schaffhausen	W 3-0	45.7	1448	1508	30.33%	34.10%	35.57%	-0.10	+15.2	17
2022-10-14	@ Yverdon-Sport	L 0-3	45.7	1508	1448	35.57%	34.10%	30.33%	+0.10	-15.2	14
2022-10-15	Wil	W 5-1	48.8	1469	1498	34.55%	34.15%	31.29%	+0.01	+15.2	16
2022-10-15	@ Bellinzona	L 1-5	48.8	1498	1469	31.29%	34.15%	34.55%	-0.01	-15.2	19
2022-10-16	Aarau	W 4-0	48.1	1460	1544	27.14%	33.71%	39.15%	-0.20	+21.3	8
2022-10-16	@ Vaduz	L 0-4	48.1	1544	1460	39.15%	33.71%	27.14%	+0.20	-21.3	17
2022-10-17	Schaffhausen	D 1-1	56.5	1442	1492	31.56%	34.16%	34.28%	-0.07	+0.1	5
2022-10-17	@ Neuchatel Xamax	D 1-1	56.5	1492	1442	34.28%	34.16%	31.56%	+0.07	-0.1	15
2022-10-17	Yverdon-Sport	L 1-3	55.1	1492	1463	42.72%	33.01%	24.27%	+0.23	-10.3	14
2022-10-17	@ Thun	W 3-1	55.1	1463	1492	24.27%	33.01%	42.72%	-0.23	+10.3	20
2022-10-18	Lausanne-Sport	W 1-0	53.3	1483	1538	30.95%	34.14%	34.92%	-0.08	+5.5	22
2022-10-18	@ Wil	L 0-1	53.3	1538	1483	34.92%	34.14%	30.95%	+0.08	-5.5	22
2022-10-19	Bellinzona	L 0-1	55.1	1523	1484	44.14%	32.64%	23.22%	+0.27	-6.5	17
2022-10-19	@ Aarau	W 1-0	55.1	1484	1523	23.22%	32.64%	44.14%	-0.27	+6.5	19
2022-10-19	Vaduz	L 1-5	52.6	1508	1481	42.53%	33.05%	24.41%	+0.23	-18.8	21
2022-10-19	@ Lausanne-Ouchy	W 5-1	52.6	1481	1508	24.41%	33.05%	42.53%	-0.23	+18.8	11
2022-10-21	Thun	W 2-1	53.7	1533	1482	45.77%	32.16%	22.07%	+0.32	+3.7	25
2022-10-21	@ Lausanne-Sport	L 1-2	53.7	1482	1533	22.07%	32.16%	45.77%	-0.32	-3.7	14
2022-10-22	Lausanne-Ouchy	L 0-2	49.7	1492	1489	39.20%	33.70%	27.10%	+0.14	-11.2	15
2022-10-22	@ Schaffhausen	W 2-0	49.7	1489	1492	27.10%	33.70%	39.20%	-0.14	+11.2	24
2022-10-22	Yverdon-Sport	L 1-2	57.9	1491	1474	41.10%	33.36%	25.53%	+0.19	-5.8	19
2022-10-22	@ Bellinzona	W 2-1	57.9	1474	1491	25.53%	33.36%	41.10%	-0.19	+5.8	23
2022-10-23	Neuchatel Xamax	D 3-3	68.2	1517	1442	48.90%	31.06%	20.04%	+0.41	-0.5	18
2022-10-23	@ Aarau	D 3-3	68.2	1442	1517	20.04%	31.06%	48.90%	-0.41	+0.5	6
2022-10-23	Wil	D 0-0	54.7	1500	1489	40.30%	33.52%	26.18%	+0.17	-0.5	12
2022-10-23	@ Vaduz	D 0-0	54.7	1489	1500	26.18%	33.52%	40.30%	-0.17	+0.5	23
2022-10-28	Aarau	W 2-1	56.5	1500	1516	36.54%	34.02%	29.43%	+0.07	+4.6	27
2022-10-28	@ Lausanne-Ouchy	L 1-2	56.5	1516	1500	29.43%	34.02%	36.54%	-0.07	-4.6	18
2022-10-28	Lausanne-Sport	W 4-0	47.4	1480	1536	30.71%	34.12%	35.17%	-0.09	+19.8	26
2022-10-28	@ Yverdon-Sport	L 0-4	47.4	1536	1480	35.17%	34.12%	30.71%	+0.09	-19.8	25
2022-10-28	Schaffhausen	W 4-3	62.2	1489	1481	39.86%	33.60%	26.54%	+0.15	+4.0	26
2022-10-28	@ Wil	L 3-4	62.2	1481	1489	26.54%	33.60%	39.86%	-0.15	-4.0	15
2022-10-28	Thun	D 2-2	61.6	1443	1478	33.71%	34.18%	32.11%	-0.01	-0.0	7
2022-10-28	@ Neuchatel Xamax	D 2-2	61.6	1478	1443	32.11%	34.18%	33.71%	+0.01	+0.0	15
2022-10-30	Vaduz	W 2-0	46.9	1485	1499	36.71%	34.01%	29.28%	+0.07	+9.2	22
2022-10-30	@ Bellinzona	L 0-2	46.9	1499	1485	29.28%	34.01%	36.71%	-0.07	-9.2	12
2022-11-04	Lausanne-Sport	D 0-0	54.7	1477	1516	33.15%	34.18%	32.67%	-0.02	-0.0	16
2022-11-04	@ Schaffhausen	D 0-0	54.7	1516	1477	32.67%	34.18%	33.15%	+0.02	+0.0	26
2022-11-04	Wil	L 1-3	54.2	1478	1493	36.61%	34.02%	29.37%	+0.07	-9.3	15
2022-11-04	@ Thun	W 3-1	54.2	1493	1478	29.37%	34.02%	36.61%	-0.07	+9.3	29
2022-11-04	Yverdon-Sport	W 3-2	60.4	1511	1499	40.44%	33.49%	26.07%	+0.17	+4.0	21
2022-11-04	@ Aarau	L 2-3	60.4	1499	1511	26.07%	33.49%	40.44%	-0.17	-4.0	26
2022-11-05	Bellinzona	W 2-1	54.8	1505	1494	40.30%	33.52%	26.18%	+0.17	+4.2	30
2022-11-05	@ Lausanne-Ouchy	L 1-2	54.8	1494	1505	26.18%	33.52%	40.30%	-0.17	-4.2	22
2022-11-06	Neuchatel Xamax	D 1-1	57.0	1490	1443	45.30%	32.31%	22.39%	+0.30	-0.7	13
2022-11-06	@ Vaduz	D 1-1	57.0	1443	1490	22.39%	32.31%	45.30%	-0.30	+0.7	8
2022-11-11	Lausanne-Ouchy	W 2-1	56.3	1443	1509	29.46%	34.03%	36.51%	-0.13	+5.3	11
2022-11-11	@ Neuchatel Xamax	L 1-2	56.3	1509	1443	36.51%	34.03%	29.46%	+0.13	-5.3	30
2022-11-11	Schaffhausen	W 2-1	53.6	1469	1477	37.55%	33.92%	28.53%	+0.09	+4.5	18
2022-11-11	@ Thun	L 1-2	53.6	1477	1469	28.53%	33.92%	37.55%	-0.09	-4.5	16
2022-11-11	Vaduz	W 3-1	51.6	1495	1489	39.59%	33.64%	26.77%	+0.15	+7.5	29
2022-11-11	@ Yverdon-Sport	L 1-3	51.6	1489	1495	26.77%	33.64%	39.59%	-0.15	-7.5	13
2022-11-13	Aarau	W 6-1	49.4	1502	1515	36.90%	33.99%	29.11%	+0.07	+17.8	32
2022-11-13	@ Wil	L 1-6	49.4	1515	1502	29.11%	33.99%	36.90%	-0.07	-17.8	21
2022-11-13	Bellinzona	D 1-1	59.5	1516	1490	42.48%	33.07%	24.46%	+0.23	-0.5	27
2022-11-13	@ Lausanne-Sport	D 1-1	59.5	1490	1516	24.46%	33.07%	42.48%	-0.23	+0.5	23
2022-11-18	Thun	L 1-3	55.0	1490	1473	41.13%	33.36%	25.51%	+0.19	-10.1	23
2022-11-18	@ Bellinzona	W 3-1	55.0	1473	1490	25.51%	33.36%	41.13%	-0.19	+10.0	21
2022-11-18	Wil	D 1-1	57.8	1449	1520	28.77%	33.95%	37.28%	-0.15	+0.2	12
2022-11-18	@ Neuchatel Xamax	D 1-1	57.8	1520	1449	37.28%	33.95%	28.77%	+0.15	-0.2	33
2022-11-19	Schaffhausen	W 1-0	48.1	1498	1473	42.23%	33.12%	24.65%	+0.22	+4.3	24
2022-11-19	@ Aarau	L 0-1	48.1	1473	1498	24.65%	33.12%	42.23%	-0.22	-4.3	16
2022-11-19	Yverdon-Sport	W 5-0	45.3	1504	1503	38.91%	33.75%	27.34%	+0.13	+20.5	33
2022-11-19	@ Lausanne-Ouchy	L 0-5	45.3	1503	1504	27.34%	33.75%	38.91%	-0.13	-20.5	29
2022-11-20	Lausanne-Sport	W 1-0	51.6	1482	1516	33.89%	34.17%	31.94%	+0.00	+5.2	16
2022-11-20	@ Vaduz	L 0-1	51.6	1516	1482	31.94%	34.17%	33.89%	+0.00	-5.2	27
2022-11-25	Bellinzona	W 1-0	48.8	1468	1480	37.07%	33.97%	28.95%	+0.08	+4.9	19
2022-11-25	@ Schaffhausen	L 0-1	48.8	1480	1468	28.95%	33.97%	37.07%	-0.08	-4.8	23
2022-11-25	Neuchatel Xamax	W 3-1	48.5	1482	1449	43.40%	32.84%	23.76%	+0.25	+6.8	32
2022-11-25	@ Yverdon-Sport	L 1-3	48.5	1449	1482	23.76%	32.84%	43.40%	-0.25	-6.8	12
2022-11-26	Lausanne-Ouchy	D 0-0	56.7	1520	1524	38.10%	33.86%	28.05%	+0.11	-0.3	34
2022-11-26	@ Wil	D 0-0	56.7	1524	1520	28.05%	33.86%	38.10%	-0.11	+0.3	34
2022-11-26	Vaduz	D 1-1	57.9	1483	1487	38.22%	33.84%	27.94%	+0.11	-0.3	22
2022-11-26	@ Thun	D 1-1	57.9	1487	1483	27.94%	33.84%	38.22%	-0.11	+0.3	17
2022-11-27	Aarau	D 2-2	65.1	1511	1502	39.99%	33.57%	26.43%	+0.16	-0.3	28
2022-11-27	@ Lausanne-Sport	D 2-2	65.1	1502	1511	26.43%	33.57%	39.99%	-0.16	+0.3	25
2023-01-27	Wil	D 2-2	64.7	1487	1519	34.17%	34.17%	31.67%	+0.00	-0.1	18
2023-01-27	@ Vaduz	D 2-2	64.7	1519	1487	31.67%	34.17%	34.17%	+0.00	+0.0	35
2023-01-28	Thun	W 1-0	48.8	1502	1483	41.44%	33.30%	25.27%	+0.20	+4.4	28
2023-01-28	@ Aarau	L 0-1	48.8	1483	1502	25.27%	33.30%	41.44%	-0.20	-4.4	22
2023-01-29	Lausanne-Sport	L 2-4	61.9	1525	1510	40.75%	33.44%	25.82%	+0.18	-8.9	34
2023-01-29	@ Lausanne-Ouchy	W 4-2	61.9	1510	1525	25.82%	33.44%	40.75%	-0.18	+8.9	31
2023-01-29	Schaffhausen	D 1-1	55.9	1442	1473	34.30%	34.16%	31.53%	+0.01	-0.1	13
2023-01-29	@ Neuchatel Xamax	D 1-1	55.9	1473	1442	31.53%	34.16%	34.30%	-0.01	+0.1	20
2023-01-29	Yverdon-Sport	L 0-2	48.4	1475	1489	36.81%	34.00%	29.19%	+0.07	-10.8	23
2023-01-29	@ Bellinzona	W 2-0	48.4	1489	1475	29.19%	34.00%	36.81%	-0.07	+10.7	35
2023-02-03	Aarau	W 4-1	50.5	1519	1507	40.55%	33.47%	25.98%	+0.17	+10.3	34
2023-02-03	@ Lausanne-Sport	L 1-4	50.5	1507	1519	25.98%	33.47%	40.55%	-0.17	-10.3	28
2023-02-03	Lausanne-Ouchy	W 1-0	51.5	1500	1516	36.48%	34.03%	29.49%	+0.06	+4.9	38
2023-02-03	@ Yverdon-Sport	L 0-1	51.5	1516	1500	29.49%	34.03%	36.48%	-0.06	-4.9	34
2023-02-03	Vaduz	W 1-0	49.3	1473	1487	36.77%	34.00%	29.23%	+0.07	+4.9	23
2023-02-03	@ Schaffhausen	L 0-1	49.3	1487	1473	29.23%	34.00%	36.77%	-0.07	-4.9	18
2023-02-05	Bellinzona	W 3-0	42.0	1520	1465	46.31%	31.99%	21.71%	+0.33	+10.6	38
2023-02-05	@ Wil	L 0-3	42.0	1465	1520	21.71%	31.99%	46.31%	-0.33	-10.6	23
2023-02-05	Neuchatel Xamax	W 1-0	45.8	1479	1442	43.84%	32.72%	23.44%	+0.26	+4.1	25
2023-02-05	@ Thun	L 0-1	45.8	1442	1479	23.44%	32.72%	43.84%	-0.26	-4.1	13
2023-02-10	Lausanne-Sport	L 2-3	58.9	1438	1530	26.29%	33.54%	40.16%	-0.22	-4.0	13
2023-02-10	@ Neuchatel Xamax	W 3-2	58.9	1530	1438	40.16%	33.54%	26.29%	+0.22	+4.0	37
2023-02-10	Yverdon-Sport	L 1-2	58.4	1496	1505	37.55%	33.92%	28.53%	+0.09	-5.5	28
2023-02-10	@ Aarau	W 2-1	58.4	1505	1496	28.53%	33.92%	37.55%	-0.09	+5.5	41
2023-02-12	Schaffhausen	L 0-2	46.9	1454	1478	35.32%	34.11%	30.56%	+0.03	-10.4	23
2023-02-12	@ Bellinzona	W 2-0	46.9	1478	1454	30.56%	34.11%	35.32%	-0.03	+10.4	26
2023-02-12	Thun	L 0-3	46.9	1482	1483	38.70%	33.78%	27.52%	+0.12	-16.2	18
2023-02-12	@ Vaduz	W 3-0	46.9	1483	1482	27.52%	33.78%	38.70%	-0.12	+16.1	28
2023-02-12	Wil	L 3-4	67.8	1511	1530	36.02%	34.07%	29.91%	+0.05	-4.9	34
2023-02-12	@ Lausanne-Ouchy	W 4-3	67.8	1530	1511	29.91%	34.07%	36.02%	-0.05	+4.9	41
2023-02-17	Aarau	D 2-2	63.8	1489	1491	38.44%	33.81%	27.75%	+0.12	-0.2	27
2023-02-17	@ Schaffhausen	D 2-2	63.8	1491	1489	27.75%	33.81%	38.44%	-0.12	+0.2	29
2023-02-17	Lausanne-Ouchy	D 1-1	59.2	1499	1506	37.74%	33.90%	28.36%	+0.10	-0.3	29
2023-02-17	@ Thun	D 1-1	59.2	1506	1499	28.36%	33.90%	37.74%	-0.10	+0.3	35
2023-02-17	Neuchatel Xamax	W 3-2	55.3	1535	1434	52.37%	29.59%	18.03%	+0.51	+2.9	44
2023-02-17	@ Wil	L 2-3	55.3	1434	1535	18.03%	29.59%	52.37%	-0.51	-2.9	13
2023-02-17	Vaduz	D 2-2	64.1	1510	1466	44.83%	32.45%	22.73%	+0.29	-0.5	42
2023-02-17	@ Yverdon-Sport	D 2-2	64.1	1466	1510	22.73%	32.45%	44.83%	-0.29	+0.5	19
2023-02-19	Bellinzona	D 1-1	59.3	1534	1444	50.95%	30.23%	18.82%	+0.46	-1.0	38
2023-02-19	@ Lausanne-Sport	D 1-1	59.3	1444	1534	18.82%	30.23%	50.95%	-0.46	+1.0	24
2023-02-24	Lausanne-Sport	L 1-2	61.4	1538	1533	39.47%	33.66%	26.87%	+0.14	-5.6	44
2023-02-24	@ Wil	W 2-1	61.4	1533	1538	26.87%	33.66%	39.47%	-0.14	+5.6	41
2023-02-24	Yverdon-Sport	W 3-1	53.2	1499	1510	37.18%	33.96%	28.86%	+0.08	+7.9	32
2023-02-24	@ Thun	L 1-3	53.2	1510	1499	28.86%	33.96%	37.18%	-0.08	-7.9	42
2023-02-26	Bellinzona	W 2-0	42.6	1491	1445	45.17%	32.35%	22.49%	+0.30	+7.5	32
2023-02-26	@ Aarau	L 0-2	42.6	1445	1491	22.49%	32.35%	45.17%	-0.30	-7.5	24
2023-02-26	Neuchatel Xamax	L 1-2	56.2	1467	1431	43.73%	32.75%	23.52%	+0.26	-6.1	19
2023-02-26	@ Vaduz	W 2-1	56.2	1431	1467	23.52%	32.75%	43.73%	-0.26	+6.1	16
2023-02-26	Schaffhausen	L 0-4	48.2	1506	1488	41.25%	33.33%	25.41%	+0.19	-22.1	35
2023-02-26	@ Lausanne-Ouchy	W 4-0	48.2	1488	1506	25.41%	33.33%	41.25%	-0.19	+22.1	30
2023-03-03	Aarau	D 0-0	52.6	1437	1499	30.05%	34.08%	35.87%	-0.11	+0.2	17
2023-03-03	@ Neuchatel Xamax	D 0-0	52.6	1499	1437	35.87%	34.08%	30.05%	+0.11	-0.2	33
2023-03-03	Wil	D 1-1	60.2	1502	1532	34.41%	34.16%	31.43%	+0.01	-0.1	43
2023-03-03	@ Yverdon-Sport	D 1-1	60.2	1532	1502	31.43%	34.16%	34.41%	-0.01	+0.1	45
2023-03-05	Lausanne-Ouchy	L 0-1	48.8	1437	1484	32.03%	34.18%	33.80%	-0.05	-5.2	24
2023-03-05	@ Bellinzona	W 1-0	48.8	1484	1437	33.80%	34.18%	32.03%	+0.05	+5.2	38
2023-03-05	Thun	L 0-5	49.2	1510	1506	39.30%	33.69%	27.01%	+0.14	-26.3	30
2023-03-05	@ Schaffhausen	W 5-0	49.2	1506	1510	27.01%	33.69%	39.30%	-0.14	+26.3	35
2023-03-05	Vaduz	D 0-0	55.9	1538	1461	49.34%	30.89%	19.77%	+0.42	-1.0	42
2023-03-05	@ Lausanne-Sport	D 0-0	55.9	1461	1538	19.77%	30.89%	49.34%	-0.42	+1.0	20
2023-03-10	Lausanne-Sport	L 1-2	57.3	1484	1537	31.17%	34.15%	34.68%	-0.08	-4.8	30
2023-03-10	@ Schaffhausen	W 2-1	57.3	1537	1484	34.68%	34.15%	31.17%	+0.08	+4.8	45
2023-03-11	Lausanne-Ouchy	L 2-3	63.8	1498	1489	40.01%	33.57%	26.42%	+0.16	-5.4	33
2023-03-11	@ Aarau	W 3-2	63.8	1489	1498	26.42%	33.57%	40.01%	-0.16	+5.4	41
2023-03-12	Bellinzona	W 2-1	50.2	1462	1432	42.89%	32.97%	24.14%	+0.24	+4.0	23
2023-03-12	@ Vaduz	L 1-2	50.2	1432	1462	24.14%	32.97%	42.89%	-0.24	-4.0	24
2023-03-12	Wil	D 1-1	61.5	1533	1532	38.81%	33.76%	27.43%	+0.13	-0.3	36
2023-03-12	@ Thun	D 1-1	61.5	1532	1533	27.43%	33.76%	38.81%	-0.13	+0.3	46
2023-03-12	Yverdon-Sport	L 1-2	53.7	1437	1502	29.65%	34.05%	36.30%	-0.12	-4.6	17
2023-03-12	@ Neuchatel Xamax	W 2-1	53.7	1502	1437	36.30%	34.05%	29.65%	+0.12	+4.6	46
2023-03-17	Aarau	L 0-3	50.5	1533	1493	44.25%	32.61%	23.14%	+0.27	-17.8	46
2023-03-17	@ Wil	W 3-0	50.5	1493	1533	23.14%	32.61%	44.25%	-0.27	+17.8	36
2023-03-17	Schaffhausen	W 2-0	45.2	1506	1479	42.51%	33.06%	24.43%	+0.23	+8.0	49
2023-03-17	@ Yverdon-Sport	L 0-2	45.2	1479	1506	24.43%	33.06%	42.51%	-0.23	-8.0	30
2023-03-18	Vaduz	D 0-0	53.8	1495	1466	42.81%	32.99%	24.21%	+0.23	-0.6	42
2023-03-18	@ Lausanne-Ouchy	D 0-0	53.8	1466	1495	24.21%	32.99%	42.81%	-0.23	+0.6	24
2023-03-19	Neuchatel Xamax	D 1-1	54.2	1428	1432	38.11%	33.86%	28.04%	+0.11	-0.3	25
2023-03-19	@ Bellinzona	D 1-1	54.2	1432	1428	28.04%	33.86%	38.11%	-0.11	+0.3	18
2023-03-19	Thun	L 1-3	58.9	1542	1532	40.12%	33.55%	26.33%	+0.16	-9.9	45
2023-03-19	@ Lausanne-Sport	W 3-1	58.9	1532	1542	26.33%	33.55%	40.12%	-0.16	+9.9	39
2023-03-31	Bellinzona	W 2-0	41.2	1542	1428	54.09%	28.78%	17.13%	+0.56	+5.8	42
2023-03-31	@ Thun	L 0-2	41.2	1428	1542	17.13%	28.78%	54.09%	-0.56	-5.8	25
2023-03-31	Wil	W 4-1	51.5	1471	1515	32.53%	34.18%	33.29%	-0.04	+12.3	33
2023-03-31	@ Schaffhausen	L 1-4	51.5	1515	1471	33.29%	34.18%	32.53%	+0.04	-12.3	46
2023-04-02	Lausanne-Ouchy	D 1-1	56.3	1433	1494	30.07%	34.08%	35.85%	-0.11	+0.2	19
2023-04-02	@ Neuchatel Xamax	D 1-1	56.3	1494	1433	35.85%	34.08%	30.07%	+0.11	-0.2	43
2023-04-02	Vaduz	L 0-2	50.8	1511	1466	44.90%	32.42%	22.67%	+0.29	-12.4	36
2023-04-02	@ Aarau	W 2-0	50.8	1466	1511	22.67%	32.42%	44.90%	-0.29	+12.4	27
2023-04-02	Yverdon-Sport	W 2-0	47.9	1532	1514	41.26%	33.33%	25.41%	+0.19	+8.3	48
2023-04-02	@ Lausanne-Sport	L 0-2	47.9	1514	1532	25.41%	33.33%	41.26%	-0.19	-8.3	49
2023-04-07	Lausanne-Sport	W 1-0	53.4	1422	1541	23.41%	32.71%	43.87%	-0.32	+6.5	28
2023-04-07	@ Bellinzona	L 0-1	53.4	1541	1422	43.87%	32.71%	23.41%	+0.32	-6.5	48
2023-04-07	Neuchatel Xamax	W 2-0	41.6	1506	1433	48.73%	31.13%	20.14%	+0.40	+6.8	52
2023-04-07	@ Yverdon-Sport	L 0-2	41.6	1433	1506	20.14%	31.13%	48.73%	-0.40	-6.8	19
2023-04-08	Aarau	L 3-4	66.6	1494	1498	38.13%	33.85%	28.01%	+0.11	-5.1	43
2023-04-08	@ Lausanne-Ouchy	W 4-3	66.6	1498	1494	28.01%	33.85%	38.13%	-0.11	+5.1	39
2023-04-08	Thun	L 1-2	58.7	1503	1548	32.26%	34.18%	33.56%	-0.05	-4.9	46
2023-04-08	@ Wil	W 2-1	58.7	1548	1503	33.56%	34.18%	32.26%	+0.05	+4.9	45
2023-04-10	Schaffhausen	L 1-4	51.9	1479	1484	38.04%	33.86%	28.09%	+0.11	-13.5	27
2023-04-10	@ Vaduz	W 4-1	51.9	1484	1479	28.09%	33.86%	38.04%	-0.11	+13.5	36
2023-04-14	Aarau	L 2-3	67.6	1553	1503	45.59%	32.22%	22.20%	+0.31	-5.9	45
2023-04-14	@ Thun	W 3-2	67.6	1503	1553	22.20%	32.22%	45.59%	-0.31	+5.9	42
2023-04-14	Wil	L 0-1	47.9	1426	1498	28.76%	33.95%	37.29%	-0.15	-4.8	19
2023-04-14	@ Neuchatel Xamax	W 1-0	47.9	1498	1426	37.29%	33.95%	28.76%	+0.15	+4.8	49
2023-04-14	Yverdon-Sport	L 3-4	66.8	1497	1513	36.50%	34.03%	29.47%	+0.06	-5.0	36
2023-04-14	@ Schaffhausen	W 4-3	66.8	1513	1497	29.47%	34.03%	36.50%	-0.06	+4.9	55
2023-04-16	Lausanne-Ouchy	W 2-1	54.2	1534	1489	45.01%	32.39%	22.60%	+0.30	+3.8	51
2023-04-16	@ Lausanne-Sport	L 1-2	54.2	1489	1534	22.60%	32.39%	45.01%	-0.30	-3.8	43
2023-04-16	Vaduz	L 1-6	46.3	1428	1465	33.50%	34.18%	32.32%	-0.01	-19.5	28
2023-04-16	@ Bellinzona	W 6-1	46.3	1465	1428	32.32%	34.18%	33.50%	+0.01	+19.5	30
2023-04-21	Bellinzona	L 1-2	58.9	1518	1409	53.37%	29.13%	17.50%	+0.54	-7.0	55
2023-04-21	@ Yverdon-Sport	W 2-1	58.9	1409	1518	17.50%	29.13%	53.37%	-0.54	+7.0	31
2023-04-21	Schaffhausen	W 3-1	51.8	1503	1492	40.21%	33.54%	26.26%	+0.16	+7.4	52
2023-04-21	@ Wil	L 1-3	51.8	1492	1503	26.26%	33.54%	40.21%	-0.16	-7.4	36
2023-04-22	Neuchatel Xamax	W 5-2	47.1	1509	1421	50.68%	30.34%	18.98%	+0.46	+6.8	45
2023-04-22	@ Aarau	L 2-5	47.1	1421	1509	18.98%	30.34%	50.68%	-0.46	-6.8	19
2023-04-22	Thun	D 2-2	65.7	1485	1547	30.00%	34.08%	35.92%	-0.11	+0.1	44
2023-04-22	@ Lausanne-Ouchy	D 2-2	65.7	1547	1485	35.92%	34.08%	30.00%	+0.11	-0.1	46
2023-04-23	Lausanne-Sport	D 1-1	59.8	1485	1538	31.17%	34.15%	34.68%	-0.08	+0.1	31
2023-04-23	@ Vaduz	D 1-1	59.8	1538	1485	34.68%	34.15%	31.17%	+0.08	-0.1	52
2023-04-28	Lausanne-Ouchy	L 1-2	59.3	1510	1485	42.18%	33.13%	24.68%	+0.22	-5.9	52
2023-04-28	@ Wil	W 2-1	59.3	1485	1510	24.68%	33.13%	42.18%	-0.22	+5.9	47
2023-04-28	Schaffhausen	D 1-1	60.4	1538	1485	46.06%	32.07%	21.87%	+0.32	-0.7	53
2023-04-28	@ Lausanne-Sport	D 1-1	60.4	1485	1538	21.87%	32.07%	46.06%	-0.32	+0.7	37
2023-04-28	Thun	D 1-1	58.1	1414	1547	22.10%	32.17%	45.73%	-0.38	+0.7	20
2023-04-28	@ Neuchatel Xamax	D 1-1	58.1	1547	1414	45.73%	32.17%	22.10%	+0.38	-0.7	47
2023-04-30	Aarau	L 0-1	46.9	1416	1516	25.34%	33.32%	41.34%	-0.26	-4.4	31
2023-04-30	@ Bellinzona	W 1-0	46.9	1516	1416	41.34%	33.32%	25.34%	+0.26	+4.4	48
2023-04-30	Yverdon-Sport	D 0-0	54.8	1485	1511	35.04%	34.13%	30.83%	+0.03	-0.1	32
2023-04-30	@ Vaduz	D 0-0	54.8	1511	1485	30.83%	34.13%	35.04%	-0.03	+0.1	56
2023-05-05	Bellinzona	W 2-1	48.5	1485	1411	48.85%	31.08%	20.07%	+0.40	+3.4	40
2023-05-05	@ Schaffhausen	L 1-2	48.5	1411	1485	20.07%	31.08%	48.85%	-0.40	-3.4	31
2023-05-05	Lausanne-Sport	W 1-0	53.1	1511	1537	35.03%	34.13%	30.84%	+0.03	+5.1	59
2023-05-05	@ Yverdon-Sport	L 0-1	53.1	1537	1511	30.84%	34.13%	35.03%	-0.03	-5.1	53
2023-05-05	Neuchatel Xamax	W 2-0	40.4	1491	1415	49.10%	30.98%	19.91%	+0.41	+6.7	50
2023-05-05	@ Lausanne-Ouchy	L 0-2	40.4	1415	1491	19.91%	30.98%	49.10%	-0.41	-6.7	20
2023-05-05	Wil	D 0-0	56.1	1521	1504	41.08%	33.37%	25.55%	+0.19	-0.5	49
2023-05-05	@ Aarau	D 0-0	56.1	1504	1521	25.55%	33.37%	41.08%	-0.19	+0.5	53
2023-05-07	Vaduz	D 3-3	70.7	1546	1485	47.20%	31.69%	21.11%	+0.36	-0.5	48
2023-05-07	@ Thun	D 3-3	70.7	1485	1546	21.11%	31.69%	47.20%	-0.36	+0.5	33
2023-05-12	Lausanne-Ouchy	L 2-4	59.3	1489	1498	37.47%	33.93%	28.60%	+0.09	-8.4	40
2023-05-12	@ Schaffhausen	W 4-2	59.3	1498	1489	28.60%	33.93%	37.47%	-0.09	+8.4	53
2023-05-12	Neuchatel Xamax	W 2-1	48.1	1532	1408	55.21%	28.22%	16.57%	+0.59	+2.8	56
2023-05-12	@ Lausanne-Sport	L 1-2	48.1	1408	1532	16.57%	28.22%	55.21%	-0.59	-2.8	20
2023-05-12	Wil	W 3-2	61.2	1408	1504	25.78%	33.43%	40.79%	-0.24	+5.5	34
2023-05-12	@ Bellinzona	L 2-3	61.2	1504	1408	40.79%	33.43%	25.78%	+0.24	-5.5	53
2023-05-13	Thun	W 1-0	53.8	1516	1546	34.51%	34.15%	31.33%	+0.01	+5.1	62
2023-05-13	@ Yverdon-Sport	L 0-1	53.8	1546	1516	31.33%	34.15%	34.51%	-0.01	-5.1	48
2023-05-14	Aarau	L 0-1	52.4	1485	1520	33.77%	34.18%	32.06%	-0.01	-5.4	33
2023-05-14	@ Vaduz	W 1-0	52.4	1520	1485	32.06%	34.18%	33.77%	+0.01	+5.4	52
2023-05-19	Bellinzona	W 3-0	39.3	1406	1413	37.64%	33.91%	28.44%	+0.09	+13.1	23
2023-05-19	@ Neuchatel Xamax	L 0-3	39.3	1413	1406	28.44%	33.91%	37.64%	-0.09	-13.1	34
2023-05-19	Lausanne-Sport	D 3-3	71.7	1541	1535	39.56%	33.65%	26.79%	+0.15	-0.2	49
2023-05-19	@ Thun	D 3-3	71.7	1535	1541	26.79%	33.65%	39.56%	-0.15	+0.2	57
2023-05-19	Schaffhausen	W 2-0	45.2	1525	1480	44.97%	32.40%	22.62%	+0.29	+7.5	55
2023-05-19	@ Aarau	L 0-2	45.2	1480	1525	22.62%	32.40%	44.97%	-0.29	-7.5	40
2023-05-19	Yverdon-Sport	W 4-1	51.8	1506	1521	36.65%	34.02%	29.33%	+0.07	+11.3	56
2023-05-19	@ Lausanne-Ouchy	L 1-4	51.8	1521	1506	29.33%	34.02%	36.65%	-0.07	-11.3	62
2023-05-20	Vaduz	W 2-0	45.3	1499	1480	41.44%	33.30%	25.26%	+0.20	+8.2	56
2023-05-20	@ Wil	L 0-2	45.3	1480	1499	25.26%	33.30%	41.44%	-0.20	-8.2	33
2023-05-23	Aarau	D 1-1	60.5	1510	1533	35.46%	34.11%	30.43%	+0.04	-0.1	63
2023-05-23	@ Yverdon-Sport	D 1-1	60.5	1533	1510	30.43%	34.11%	35.46%	-0.04	+0.1	56
2023-05-23	Lausanne-Ouchy	D 2-2	64.1	1471	1518	32.17%	34.18%	33.65%	-0.05	+0.0	34
2023-05-23	@ Vaduz	D 2-2	64.1	1518	1471	33.65%	34.18%	32.17%	+0.05	-0.0	57
2023-05-23	Neuchatel Xamax	D 1-1	55.7	1473	1419	46.20%	32.02%	21.78%	+0.33	-0.7	41
2023-05-23	@ Schaffhausen	D 1-1	55.7	1419	1473	21.78%	32.02%	46.20%	-0.33	+0.7	24
2023-05-23	Thun	W 3-0	47.9	1400	1540	21.41%	31.84%	46.74%	-0.40	+18.5	37
2023-05-23	@ Bellinzona	L 0-3	47.9	1540	1400	46.74%	31.84%	21.41%	+0.40	-18.5	49
2023-05-23	Wil	W 2-0	47.3	1535	1507	42.63%	33.03%	24.34%	+0.23	+8.0	60
2023-05-23	@ Lausanne-Sport	L 0-2	47.3	1507	1535	24.34%	33.03%	42.63%	-0.23	-8.0	56
2023-05-27	Bellinzona	W 6-0	39.7	1518	1419	52.05%	29.74%	18.21%	+0.50	+17.1	60
2023-05-27	@ Lausanne-Ouchy	L 0-6	39.7	1419	1518	18.21%	29.74%	52.05%	-0.50	-17.1	37
2023-05-27	Lausanne-Sport	D 2-2	67.3	1533	1543	37.34%	33.95%	28.71%	+0.09	-0.2	57
2023-05-27	@ Aarau	D 2-2	67.3	1543	1533	28.71%	33.95%	37.34%	-0.09	+0.2	61
2023-05-27	Schaffhausen	L 2-3	65.3	1522	1472	45.62%	32.21%	22.18%	+0.31	-5.9	49
2023-05-27	@ Thun	W 3-2	65.3	1472	1522	22.18%	32.21%	45.62%	-0.31	+5.9	44
2023-05-27	Vaduz	L 1-6	45.6	1419	1472	31.34%	34.15%	34.50%	-0.07	-18.7	24
2023-05-27	@ Neuchatel Xamax	W 6-1	45.6	1472	1419	34.50%	34.15%	31.34%	+0.07	+18.7	37
2023-05-27	Yverdon-Sport	L 0-2	50.2	1499	1510	37.26%	33.95%	28.78%	+0.08	-10.8	56
2023-05-27	@ Wil	W 2-0	50.2	1510	1499	28.78%	33.95%	37.26%	-0.08	+10.8	66

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
2023-06-03	Lausanne-Sport	L 0-2	1569	1543	42.38%	33.09%	24.54%	+0.22	-11.9	0
2023-06-03	@ Sion	W 2-0	1543	1569	24.54%	33.09%	42.38%	-0.22	+11.9	3
2023-06-06	Sion	W 4-2	1555	1557	38.43%	33.81%	27.76%	+0.12	+6.9	6
2023-06-06	@ Lausanne-Sport	L 2-4	1557	1555	27.76%	33.81%	38.43%	-0.12	-6.9	0

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	2023-04-21	17.50%	Bellinzona	1409	2	@ Yverdon-Sport	1518	1
2	2022-07-30	20.86%	Lausanne-Ouchy	1471	4	@ Bellinzona	1535	1
3	2023-05-23	21.41%	@ Bellinzona	1400	3	Thun	1540	0
4	2023-05-27	22.18%	Schaffhausen	1472	3	@ Thun	1522	2
5	2023-04-14	22.20%	Aarau	1503	3	@ Thun	1553	2
6	2022-08-27	22.25%	Yverdon-Sport	1466	2	@ Schaffhausen	1515	1
7	2023-04-02	22.67%	Vaduz	1466	2	@ Aarau	1511	0
8	2022-08-05	23.06%	Wil	1471	1	@ Schaffhausen	1511	0
9	2023-03-17	23.14%	Aarau	1493	3	@ Wil	1533	0
10	2022-10-19	23.22%	Bellinzona	1484	1	@ Aarau	1523	0
11	2023-04-07	23.41%	@ Bellinzona	1422	1	Lausanne-Sport	1541	0
12	2023-02-26	23.52%	Neuchatel Xamax	1431	2	@ Vaduz	1467	1
13	2022-10-17	24.27%	Yverdon-Sport	1463	3	@ Thun	1492	1
14	2022-10-19	24.41%	Vaduz	1481	5	@ Lausanne-Ouchy	1508	1
15	2023-04-28	24.68%	Lausanne-Ouchy	1485	2	@ Wil	1510	1
16	2023-02-26	25.41%	Schaffhausen	1488	4	@ Lausanne-Ouchy	1506	0
17	2022-11-18	25.51%	Thun	1473	3	@ Bellinzona	1490	1
18	2022-10-22	25.53%	Yverdon-Sport	1474	2	@ Bellinzona	1491	1
19	2022-08-12	25.72%	Aarau	1509	4	@ Bellinzona	1524	0
20	2023-05-12	25.78%	@ Bellinzona	1408	3	Wil	1504	2
21	2023-01-29	25.82%	Lausanne-Sport	1510	4	@ Lausanne-Ouchy	1525	2
22	2023-03-19	26.33%	Thun	1532	3	@ Lausanne-Sport	1542	1
23	2023-03-11	26.42%	Lausanne-Ouchy	1489	3	@ Aarau	1498	2
24	2022-10-14	26.70%	Lausanne-Ouchy	1497	2	@ Thun	1503	0
25	2023-02-24	26.87%	Lausanne-Sport	1533	2	@ Wil	1538	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	2023-03-05	26.30	Thun	5	1506	27.01%	@ Schaffhausen	0	1510	39.30%	33.69%
2	2023-02-26	22.08	Schaffhausen	4	1488	25.41%	@ Lausanne-Ouchy	0	1506	41.25%	33.33%
3	2022-08-12	21.93	Aarau	4	1509	25.72%	@ Bellinzona	0	1524	40.87%	33.41%
4	2022-10-16	21.28	@ Vaduz	4	1460	27.14%	Aarau	0	1544	39.15%	33.71%
5	2022-11-19	20.50	@ Lausanne-Ouchy	5	1504	38.91%	Yverdon-Sport	0	1503	27.34%	33.75%
6	2022-10-07	20.17	@ Neuchatel Xamax	4	1425	29.73%	Bellinzona	0	1489	36.22%	34.05%
7	2022-10-28	19.77	@ Yverdon-Sport	4	1480	30.71%	Lausanne-Sport	0	1536	35.17%	34.12%
8	2023-04-16	19.53	Vaduz	6	1465	32.32%	@ Bellinzona	1	1428	33.50%	34.18%
9	2022-10-19	18.81	Vaduz	5	1481	24.41%	@ Lausanne-Ouchy	1	1508	42.53%	33.05%
10	2023-05-27	18.68	Vaduz	6	1472	34.50%	@ Neuchatel Xamax	1	1419	31.34%	34.15%
11	2023-05-23	18.50	@ Bellinzona	3	1400	21.41%	Thun	0	1540	46.74%	31.84%
12	2023-03-17	17.77	Aarau	3	1493	23.14%	@ Wil	0	1533	44.25%	32.61%
13	2022-11-13	17.75	@ Wil	6	1502	36.90%	Aarau	1	1515	29.11%	33.99%
14	2023-05-27	17.12	@ Lausanne-Ouchy	6	1518	52.05%	Bellinzona	0	1419	18.21%	29.74%
15	2023-02-12	16.16	Thun	3	1483	27.52%	@ Vaduz	0	1482	38.70%	33.78%
16	2022-07-30	15.80	Lausanne-Ouchy	4	1471	20.86%	@ Bellinzona	1	1535	47.58%	31.55%
17	2022-10-08	15.68	@ Wil	4	1483	41.38%	Yverdon-Sport	0	1464	25.31%	33.31%
18	2022-09-11	15.33	@ Wil	5	1483	34.28%	Bellinzona	1	1514	31.56%	34.16%
19	2022-09-30	15.27	@ Lausanne-Sport	4	1525	42.47%	Wil	0	1498	24.46%	33.07%
20	2022-10-14	15.24	@ Yverdon-Sport	3	1448	30.33%	Schaffhausen	0	1508	35.57%	34.10%
21	2022-10-15	15.23	@ Bellinzona	5	1469	34.55%	Wil	1	1498	31.29%	34.15%
22	2022-07-22	14.72	@ Lausanne-Sport	5	1500	36.21%	Schaffhausen	1	1518	29.74%	34.05%
23	2023-04-10	13.47	Schaffhausen	4	1484	28.09%	@ Vaduz	1	1479	38.04%	33.86%
24	2023-05-19	13.10	@ Neuchatel Xamax	3	1406	37.64%	Bellinzona	0	1413	28.44%	33.91%
25	2023-04-02	12.37	Vaduz	2	1466	22.67%	@ Aarau	0	1511	44.90%	32.42%

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	2023-05-19	71.7	@ Thun	3	1541	39.56%	Lausanne-Sport	3	1535	26.79%	33.65%
2	2023-05-07	70.7	@ Thun	3	1546	47.20%	Vaduz	3	1485	21.11%	31.69%
3	2022-08-27	69.7	@ Aarau	3	1531	46.26%	Lausanne-Ouchy	3	1477	21.74%	32.00%
4	2022-10-23	68.2	@ Aarau	3	1517	48.90%	Neuchatel Xamax	3	1442	20.04%	31.06%
5	2022-07-24	67.8	@ Vaduz	3	1500	44.02%	Yverdon-Sport	3	1462	23.30%	32.67%
6	2023-02-12	67.8	Wil	4	1530	29.91%	@ Lausanne-Ouchy	3	1511	36.02%	34.07%
7	2023-04-14	67.6	Aarau	3	1503	22.20%	@ Thun	2	1553	45.59%	32.22%
8	2023-05-27	67.3	@ Aarau	2	1533	37.34%	Lausanne-Sport	2	1543	28.71%	33.95%
9	2023-04-14	66.8	Yverdon-Sport	4	1513	29.47%	@ Schaffhausen	3	1497	36.50%	34.03%
10	2022-10-07	66.7	@ Aarau	2	1545	44.55%	Thun	2	1503	22.92%	32.52%
11	2023-04-08	66.6	Aarau	4	1498	28.01%	@ Lausanne-Ouchy	3	1494	38.13%	33.85%
12	2023-04-22	65.7	@ Lausanne-Ouchy	2	1485	30.00%	Thun	2	1547	35.92%	34.08%
13	2023-05-27	65.3	Schaffhausen	3	1472	22.18%	@ Thun	2	1522	45.62%	32.21%
14	2022-11-27	65.1	@ Lausanne-Sport	2	1511	39.99%	Aarau	2	1502	26.43%	33.57%
15	2022-09-30	64.9	@ Yverdon-Sport	2	1464	27.54%	Aarau	2	1545	38.68%	33.78%
16	2023-01-27	64.7	@ Vaduz	2	1487	34.17%	Wil	2	1519	31.67%	34.17%
17	2022-08-05	64.1	@ Thun	2	1480	34.63%	Aarau	2	1509	31.22%	34.15%
18	2023-02-17	64.1	@ Yverdon-Sport	2	1510	44.83%	Vaduz	2	1466	22.73%	32.45%
19	2023-05-23	64.1	@ Vaduz	2	1471	32.17%	Lausanne-Ouchy	2	1518	33.65%	34.18%
20	2022-09-10	63.8	@ Lausanne-Ouchy	2	1481	36.15%	Thun	2	1499	29.79%	34.06%
21	2022-10-09	63.8	@ Schaffhausen	2	1508	45.53%	Vaduz	2	1459	22.23%	32.23%
22	2023-02-17	63.8	@ Schaffhausen	2	1489	38.44%	Aarau	2	1491	27.75%	33.81%
23	2023-03-11	63.8	Lausanne-Ouchy	3	1489	26.42%	@ Aarau	2	1498	40.01%	33.57%
24	2022-08-07	63.1	Bellinzona	3	1520	31.31%	@ Vaduz	2	1490	34.53%	34.15%
25	2022-10-28	62.2	@ Wil	4	1489	39.86%	Schaffhausen	3	1481	26.54%	33.60%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2023-05-19	39.3	@ Neuchatel Xamax	3	1406	37.64%	Bellinzona	0	1413	28.44%	33.91%
2	2023-05-27	39.7	@ Lausanne-Ouchy	6	1518	52.05%	Bellinzona	0	1419	18.21%	29.74%
3	2023-05-05	40.4	@ Lausanne-Ouchy	2	1491	49.10%	Neuchatel Xamax	0	1415	19.91%	30.98%
4	2023-03-31	41.2	@ Thun	2	1542	54.09%	Bellinzona	0	1428	17.13%	28.78%
5	2023-04-07	41.6	@ Yverdon-Sport	2	1506	48.73%	Neuchatel Xamax	0	1433	20.14%	31.13%
6	2022-10-08	41.7	@ Wil	4	1483	41.38%	Yverdon-Sport	0	1464	25.31%	33.31%
7	2023-02-05	42.0	@ Wil	3	1520	46.31%	Bellinzona	0	1465	21.71%	31.99%
8	2023-02-26	42.6	@ Aarau	2	1491	45.17%	Bellinzona	0	1445	22.49%	32.35%
9	2022-07-29	43.4	@ Schaffhausen	2	1504	45.40%	Neuchatel Xamax	0	1455	22.33%	32.28%
10	2022-10-07	44.0	@ Neuchatel Xamax	4	1425	29.73%	Bellinzona	0	1489	36.22%	34.05%
11	2022-09-30	44.2	@ Lausanne-Sport	4	1525	42.47%	Wil	0	1498	24.46%	33.07%
12	2022-07-17	44.7	@ Wil	2	1456	36.82%	Neuchatel Xamax	0	1469	29.18%	34.00%
13	2023-03-17	45.2	@ Yverdon-Sport	2	1506	42.51%	Schaffhausen	0	1479	24.43%	33.06%
14	2023-05-19	45.2	@ Aarau	2	1525	44.97%	Schaffhausen	0	1480	22.62%	32.40%
15	2022-11-19	45.3	@ Lausanne-Ouchy	5	1504	38.91%	Yverdon-Sport	0	1503	27.34%	33.75%
16	2023-05-20	45.3	@ Wil	2	1499	41.44%	Vaduz	0	1480	25.26%	33.30%
17	2023-05-27	45.6	Vaduz	6	1472	34.50%	@ Neuchatel Xamax	1	1419	31.34%	34.15%
18	2022-10-14	45.7	@ Yverdon-Sport	3	1448	30.33%	Schaffhausen	0	1508	35.57%	34.10%
19	2023-02-05	45.8	@ Thun	1	1479	43.84%	Neuchatel Xamax	0	1442	23.44%	32.72%
20	2023-04-16	46.3	Vaduz	6	1465	32.32%	@ Bellinzona	1	1428	33.50%	34.18%
21	2022-10-30	46.9	@ Bellinzona	2	1485	36.71%	Vaduz	0	1499	29.28%	34.01%
22	2023-02-12	46.9	Schaffhausen	2	1478	30.56%	@ Bellinzona	0	1454	35.32%	34.11%
23	2023-02-12	46.9	Thun	3	1483	27.52%	@ Vaduz	0	1482	38.70%	33.78%
24	2023-04-30	46.9	Aarau	1	1516	41.34%	@ Bellinzona	0	1416	25.34%	33.32%
25	2022-07-31	47.1	@ Wil	2	1461	33.16%	Vaduz	0	1500	32.66%	34.18%