2021-22 Challenge League Season

180 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

Schaffhausen

11.54 points above expected

65 points · 53.46 expected points

Biggest Disappointment

Kriens

18.95 points below expected

13 points · 31.95 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	Winterthur	36	18	11	7	65	76	45	+31	53.96	+11.04
2	Schaffhausen	36	19	8	9	65	73	49	+24	53.46	+11.54
3	Aarau	36	20	5	11	65	67	47	+20	53.54	+11.46
4	Vaduz	36	18	6	12	60	68	58	+10	57.27	+2.73
5	Thun	36	17	5	14	56	62	57	+5	53.07	+2.93
6	Neuchatel Xamax	36	14	8	14	50	56	54	+2	45.31	+4.69
7	Lausanne-Ouchy	36	12	8	16	44	46	50	-4	52.64	-8.64
8	Yverdon-Sport	36	11	11	14	44	44	52	-8	41.45	+2.55
9	Wil	36	11	8	17	41	68	80	-12	45.82	-4.82
10	Kriens	36	3	4	29	13	25	93	-68	31.95	-18.95

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	Schaffhausen	65	53.46	+11.54
2	Aarau	65	53.54	+11.46
3	Winterthur	65	53.96	+11.04
4	Neuchatel Xamax	50	45.31	+4.69
5	Thun	56	53.07	+2.93

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Kriens	13	31.95	-18.95
2	Lausanne-Ouchy	44	52.64	-8.64
3	Wil	41	45.82	-4.82
4	Yverdon-Sport	44	41.45	+2.55
5	Vaduz	60	57.27	+2.73

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	Aarau	5	Feb 5 – Feb 28	1 in 82
2	Lausanne-Ouchy	3	Feb 25 – Mar 4	1 in 31
3	Schaffhausen	4	Apr 1 – Apr 22	1 in 29
4	Neuchatel Xamax	3	Aug 1 – Aug 10	1 in 29
5	Thun	4	Mar 5 – Apr 2	1 in 26

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Kriens	14	Nov 6 – Mar 12	1 in 3,487
2	Aarau	3	Mar 4 – Mar 19	1 in 55
3	Neuchatel Xamax	4	Sep 25 – Oct 22	1 in 54
4	Winterthur	3	Nov 19 – Dec 3	1 in 31
5	Lausanne-Ouchy	3	Apr 2 – Apr 16	1 in 30

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Schaffhausen	10	Mar 4 – May 10	1 in 32
2	Winterthur	11	Mar 11 – May 21	1 in 31
3	Aarau	10	Nov 27 – Feb 28	1 in 29
4	Neuchatel Xamax	6	Jan 28 – Mar 1	1 in 22
5	Wil	6	Oct 22 – Dec 4	1 in 20

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Kriens	16	Nov 6 – Apr 2	1 in 26
2	Winterthur	5	Oct 29 – Dec 3	1 in 13
3	Lausanne-Ouchy	5	Mar 12 – Apr 16	1 in 12
4	Neuchatel Xamax	6	Sep 25 – Nov 5	1 in 12
5	Thun	5	Feb 13 – Mar 1	1 in 10

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
Aarau	1540	65	+39	12	7.5	+4.5
Schaffhausen	1555	65	+14	10	8.0	+2.0
Winterthur	1564	65	+14	9	9.1	-0.1
Vaduz	1516	60	+2	10	7.9	+2.1
Thun	1500	56	+14	10	7.0	+3.0
Neuchatel Xamax	1448	50	+0	7	6.3	+0.7
Yverdon-Sport	1421	44	-20	5	6.5	-1.5
Lausanne-Ouchy	1451	44	-28	1	6.7	-5.7
Wil	1417	41	-24	2	6.0	-4.0
Kriens	1250	13	-11	3	3.2	-0.2

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	KRI	LAU	NX	SCH	THU	VAD	WIL	WIN	YVE
Aarau	—	3-1-0 8.03	4-0-0 5.55	2-1-1 6.20	2-0-2 5.52	2-0-2 5.32	1-0-3 5.43	3-1-0 6.30	1-1-2 5.46	2-1-1 6.63
Kriens	0-1-3 3.02	—	2-0-2 3.28	0-0-4 3.98	0-3-1 3.37	0-0-4 3.40	0-0-4 2.90	1-0-3 4.03	0-0-4 3.31	0-0-4 4.08
Lausanne-Ouchy	0-0-4 5.28	2-0-2 7.71	—	0-2-2 5.94	2-0-2 5.00	2-0-2 5.31	2-1-1 4.84	2-1-1 6.17	1-2-1 5.22	1-2-1 6.24
Neuchatel Xamax	1-1-2 4.65	4-0-0 6.92	2-2-0 4.89	—	1-0-3 4.84	2-0-2 4.70	1-0-3 4.53	2-0-2 5.69	0-2-2 4.40	1-3-0 5.74
Schaffhausen	2-0-2 5.30	1-3-0 7.66	2-0-2 5.83	3-0-1 5.99	—	3-1-0 5.47	2-1-1 4.92	1-1-2 6.31	2-2-0 5.24	3-0-1 6.57
Thun	2-0-2 5.50	4-0-0 7.62	2-0-2 5.49	2-0-2 6.13	0-1-3 5.34	—	3-1-0 5.02	2-1-1 6.19	0-1-3 5.47	2-1-1 6.50
Vaduz	3-0-1 5.40	4-0-0 8.18	1-1-2 5.99	3-0-1 6.31	1-1-2 5.89	0-1-3 5.80	—	2-1-1 6.53	2-1-1 5.72	2-1-1 6.74
Wil	0-1-3 4.55	3-0-1 6.88	1-1-2 4.66	2-0-2 5.13	2-1-1 4.54	1-1-2 4.64	1-1-2 4.32	—	0-1-3 4.62	1-2-1 5.60
Winterthur	2-1-1 5.35	4-0-0 7.73	1-2-1 5.60	2-2-0 6.45	0-2-2 5.57	3-1-0 5.35	1-1-2 5.12	3-1-0 6.22	—	2-1-1 6.69
Yverdon-Sport	1-1-2 4.23	4-0-0 6.86	1-2-1 4.60	0-3-1 5.08	1-0-3 4.28	1-1-2 4.36	1-1-2 4.13	1-2-1 5.22	1-1-2 4.17	—

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	0.78	+9.0
Allowed	0.71	-8.7
Differential	0.97	+5.7

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.11%	4.44%	6.67%	3.61%	1.39%	1.11%	23.33%
1	4.44%	7.78%	8.61%	4.17%	1.39%	0.28%	26.67%
2	6.67%	8.61%	5.56%	3.06%	1.94%	1.94%	27.78%
3	3.61%	4.17%	3.06%	0.56%	0.83%	0.28%	12.50%
4	1.39%	1.39%	1.94%	0.83%	0.56%	—	6.11%
5+	1.11%	0.28%	1.94%	0.28%	—	—	3.61%
Total	23.33%	26.67%	27.78%	12.50%	6.11%	3.61%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.62	1.62	+0.00
SD	1.33	1.33	1.94
CV	0.82	0.82	—
Max	6	6	+5
Min	0	0	-5

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	—	8.33%	2.78%	—	—	16.67%
1	8.33%	5.56%	8.33%	2.78%	—	—	25.00%
2	16.67%	11.11%	2.78%	—	5.56%	—	36.11%
3	2.78%	—	2.78%	—	2.78%	—	8.33%
4	2.78%	—	—	2.78%	—	—	5.56%
5+	2.78%	—	5.56%	—	—	—	8.33%
Total	38.89%	16.67%	27.78%	8.33%	8.33%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.86	1.31	+0.56
SD	1.42	1.31	1.90
CV	0.76	1.00	—
Max	5	4	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.33%	8.33%	5.56%	5.56%	11.11%	47.22%
1	2.78%	2.78%	8.33%	13.89%	5.56%	2.78%	36.11%
2	—	5.56%	—	11.11%	—	—	16.67%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	11.11%	16.67%	16.67%	30.56%	11.11%	13.89%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.69	2.58	-1.89
SD	0.75	1.59	1.77
CV	1.08	0.62	—
Max	2	6	+1
Min	0	0	-5

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.28	1.39	-0.11
SD	1.16	1.27	1.69
CV	0.91	0.92	—
Max	5	5	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	8.33%	5.56%	2.78%	—	27.78%
1	2.78%	13.89%	8.33%	2.78%	2.78%	—	30.56%
2	—	13.89%	—	2.78%	2.78%	—	19.44%
3	2.78%	5.56%	—	—	—	—	8.33%
4	2.78%	2.78%	2.78%	—	—	—	8.33%
5+	2.78%	—	2.78%	—	—	—	5.56%
Total	19.44%	38.89%	22.22%	11.11%	8.33%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.56	1.50	+0.06
SD	1.48	1.18	2.10
CV	0.95	0.79	—
Max	5	4	+5
Min	0	0	-4

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	2.03	1.36	+0.67
SD	1.58	0.96	1.53
CV	0.78	0.71	—
Max	5	3	+4
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	8.33%	2.78%	—	—	16.67%
1	5.56%	2.78%	8.33%	2.78%	2.78%	—	22.22%
2	5.56%	11.11%	11.11%	—	5.56%	2.78%	36.11%
3	8.33%	11.11%	2.78%	—	—	—	22.22%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	19.44%	33.33%	30.56%	5.56%	8.33%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.72	1.58	+0.14
SD	1.09	1.27	1.87
CV	0.63	0.80	—
Max	4	5	+3
Min	0	0	-3

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.89	1.61	+0.28
SD	1.35	1.13	1.70
CV	0.71	0.70	—
Max	5	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	2.78%	8.33%	2.78%	—	13.89%
1	—	5.56%	11.11%	2.78%	—	—	19.44%
2	8.33%	5.56%	11.11%	5.56%	—	8.33%	38.89%
3	5.56%	2.78%	2.78%	2.78%	2.78%	2.78%	19.44%
4	2.78%	—	2.78%	—	2.78%	—	8.33%
5+	—	—	—	—	—	—	—
Total	16.67%	13.89%	30.56%	19.44%	8.33%	11.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.89	2.22	-0.33
SD	1.14	1.53	2.01
CV	0.60	0.69	—
Max	4	5	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	—	5.56%	—	—	—	16.67%
1	2.78%	13.89%	2.78%	2.78%	—	—	22.22%
2	5.56%	5.56%	5.56%	5.56%	—	2.78%	25.00%
3	8.33%	5.56%	2.78%	—	—	—	16.67%
4	2.78%	—	8.33%	—	—	—	11.11%
5+	2.78%	2.78%	—	2.78%	—	—	8.33%
Total	33.33%	27.78%	25.00%	11.11%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.11	1.25	+0.86
SD	1.58	1.20	1.90
CV	0.75	0.96	—
Max	6	5	+5
Min	0	0	-3

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.22	1.44	-0.22
SD	1.02	1.27	1.71
CV	0.83	0.88	—
Max	3	4	+3
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
Winterthur	1564	65	53.96	+11.04	96.0%	34	41	49	54	60	65	75
Schaffhausen	1548	65	53.46	+11.54	98.0%	31	43	48	53	58	64	72
Aarau	1540	65	53.54	+11.46	93.0%	31	39	49	53	60	66	70
Vaduz	1516	60	57.27	+2.73	67.0%	39	46	51	56	63	72	79
Thun	1500	56	53.07	+2.93	66.0%	36	39	48	52	59	66	73
Lausanne-Ouchy	1451	44	52.64	-8.64	13.0%	32	38	47	53	57	66	71
Neuchatel Xamax	1448	50	45.31	+4.69	70.0%	24	32	40	45	52	57	62
Yverdon-Sport	1421	44	41.45	+2.55	63.0%	23	29	37	41	46	54	60
Wil	1417	41	45.82	-4.82	26.0%	31	34	41	45	51	57	64
Kriens	1250	13	31.95	-18.95	0.0%	15	21	27	32	36	42	49

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

+19.44%

Clear Edge

49.44%20.56%30.00%

Elo Value

Home Edge

138 Elo

0.007 goals per Elo point

068.43400

Scoring Tilt

Expected

+0.35 goals

Neutral

-2+0.50+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

6.1

Wide Open

123410

Champion Preseason Odds

17%

Winterthur, 2nd of 10

LongshotFavorite

Title Margin

Expected

0.00/gm

Photo Finish

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 6.03 * Some Luck: 6.03 to 9.04 * Lucky: 9.04 to 12.06 * Wild Swing: 12.06 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 1.48 * Close: 1.48 to 2.22 * Off: 2.22 to 2.96 * Way Off: 2.96 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

9.31 points

Lucky

07.5319

Average Finish Error

Expected

1.20

Pinpoint

01.854

Biggest Overachiever

Expected 95.00%

98.00%

Schaffhausen

50100

Biggest Underachiever

Expected 5.00%

0.00%

Kriens

050

Season Outliers

Expected

3 of 10

Minimal Outliers

01.010

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.13 * Even: 0.13 to 0.17 * Top-Heavy: 0.17 to 0.2 * Lopsided: 0.2 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.5 * Moderate Separation: 1.5 to 1.8 * Strong Separation: 1.8 to 2.15 * Wide Separation: 2.15 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 63.5% * Slight Edge: 63.5% to 68% * Clear Edge: 68% to 74.5% * Wide Edge: 74.5% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 85% * Clear Edge: 85% to 91% * Strong Edge: 91% to 95% * Dominant: 95% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 54.5% * Some Drama: 54.5% to 60% * Frequent: 60% to 65% * Very Frequent: 65% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 14.5% * Occasional: 14.5% to 18.5% * Frequent: 18.5% to 23.5% * Very Frequent: 23.5% and up.

Gini Index

0.16

Even

00.130.20.5

Noll-Scully

Elo SD: 93.27

1.98

Strong Separation

0.751.51.82.153

Interquartile Edge

65%

Slight Edge

50%63.5%74.5%100%

Best vs. Worst

Baseline

86%

Clear Edge

50%85%100%

Close Games

Expected

54%

Few

0%56%100%

Blowouts

Expected

19%

Frequent

0%20%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

0.60

Predictable

00.642

Matchup Imbalance

0.25

Very Even

00.340.420.5

Strangeness

Expected

1.82

Chaotic

01.002

Repeatability

0.43

Some Carryover

00.380.570.71

Upset Rate

Expected

24%

Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

22%

Shaky 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 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.

Probability calibration

0.17

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.32

Very Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.071

Well Within Noise

00.1180.3

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
Winterthur	17.00%	15.00%	18.00%	9.00%	16.00%	10.00%	8.00%	3.00%	3.00%	1.00%
Schaffhausen	13.00%	14.00%	15.00%	14.00%	13.00%	10.00%	11.00%	8.00%	1.00%	1.00%
Aarau	12.00%	18.00%	13.00%	18.00%	14.00%	10.00%	5.00%	6.00%	1.00%	3.00%
Vaduz	26.00%	20.00%	15.00%	13.00%	9.00%	11.00%	3.00%	2.00%	1.00%	—
Thun	14.00%	14.00%	13.00%	8.00%	13.00%	16.00%	10.00%	7.00%	3.00%	2.00%
Neuchatel Xamax	3.00%	4.00%	8.00%	9.00%	9.00%	5.00%	15.00%	22.00%	17.00%	8.00%
Lausanne-Ouchy	12.00%	10.00%	14.00%	16.00%	10.00%	17.00%	8.00%	7.00%	4.00%	2.00%
Yverdon-Sport	1.00%	1.00%	1.00%	2.00%	7.00%	10.00%	14.00%	22.00%	30.00%	12.00%
Wil	2.00%	4.00%	3.00%	10.00%	9.00%	9.00%	25.00%	19.00%	15.00%	4.00%
Kriens	—	—	—	1.00%	—	2.00%	1.00%	4.00%	25.00%	67.00%

Points Required Per Position

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

Next-Season Status

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

Team	Direct promotion	Lost promotion playoff	Same level	Direct relegation
Vaduz	26.00%	20.00%	54.00%	—
Winterthur	17.00%	15.00%	67.00%	1.00%
Thun	14.00%	14.00%	70.00%	2.00%
Lausanne-Ouchy	12.00%	10.00%	76.00%	2.00%
Aarau	12.00%	18.00%	67.00%	3.00%
Schaffhausen	—	100%	—	—
Wil	2.00%	4.00%	90.00%	4.00%
Neuchatel Xamax	3.00%	4.00%	85.00%	8.00%
Yverdon-Sport	1.00%	1.00%	86.00%	12.00%
Kriens	—	—	33.00%	67.00%

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
2021-07-23	Winterthur	D 1-1	59.5	1490	1458	45.16%	28.95%	25.90%	+0.72	-0.6	1
2021-07-23	@ Lausanne-Ouchy	D 1-1	59.5	1458	1490	25.90%	28.95%	45.16%	-0.72	+0.6	1
2021-07-25	Vaduz	L 2-3	59.7	1448	1512	31.69%	29.92%	38.39%	+0.03	-5.0	0
2021-07-25	@ Wil	W 3-2	59.7	1512	1448	38.39%	29.92%	31.69%	-0.03	+5.0	3
2021-07-28	Kriens	D 1-1	58.4	1468	1450	43.32%	29.31%	27.37%	+0.63	-0.5	1
2021-07-28	@ Schaffhausen	D 1-1	58.4	1450	1468	27.37%	29.31%	43.32%	-0.63	+0.5	1
2021-07-30	Wil	W 3-1	47.7	1459	1443	43.05%	29.35%	27.60%	+0.61	+8.2	4
2021-07-30	@ Winterthur	L 1-3	47.7	1443	1459	27.60%	29.35%	43.05%	-0.61	-8.2	0
2021-07-31	Lausanne-Ouchy	L 1-3	49.6	1426	1489	31.90%	29.93%	38.17%	+0.04	-9.1	0
2021-07-31	@ Yverdon-Sport	W 3-1	49.6	1489	1426	38.17%	29.93%	31.90%	-0.04	+9.1	4
2021-07-31	Schaffhausen	W 2-0	44.1	1470	1468	41.15%	29.64%	29.21%	+0.52	+9.9	3
2021-07-31	@ Aarau	L 0-2	44.1	1468	1470	29.21%	29.64%	41.15%	-0.52	-9.9	1
2021-07-31	Thun	L 1-3	51.4	1451	1498	34.01%	30.03%	35.96%	+0.15	-9.6	1
2021-07-31	@ Kriens	W 3-1	51.4	1498	1451	35.96%	30.03%	34.01%	-0.15	+9.6	3
2021-08-01	Neuchatel Xamax	L 1-2	59.5	1517	1442	50.95%	27.34%	21.71%	+1.04	-7.4	3
2021-08-01	@ Vaduz	W 2-1	59.5	1442	1517	21.71%	27.34%	50.95%	-1.04	+7.4	3
2021-08-03	Yverdon-Sport	W 3-0	37.5	1508	1417	53.02%	26.60%	20.37%	+1.15	+10.4	6
2021-08-03	@ Thun	L 0-3	37.5	1417	1508	20.37%	26.60%	53.02%	-1.15	-10.4	0
2021-08-06	Aarau	L 1-2	59.9	1518	1480	46.06%	28.74%	25.20%	+0.77	-6.9	6
2021-08-06	@ Thun	W 2-1	59.9	1480	1518	25.20%	28.74%	46.06%	-0.77	+6.9	6
2021-08-06	Kriens	W 4-0	38.9	1450	1441	42.04%	29.52%	28.44%	+0.56	+18.3	6
2021-08-06	@ Neuchatel Xamax	L 0-4	38.9	1441	1450	28.44%	29.52%	42.04%	-0.56	-18.3	1
2021-08-07	Yverdon-Sport	W 3-0	37.4	1435	1406	44.69%	29.04%	26.26%	+0.70	+13.2	3
2021-08-07	@ Wil	L 0-3	37.4	1406	1435	26.26%	29.04%	44.69%	-0.70	-13.2	0
2021-08-08	Vaduz	W 1-0	51.3	1498	1510	39.15%	29.86%	30.99%	+0.41	+5.5	7
2021-08-08	@ Lausanne-Ouchy	L 0-1	51.3	1510	1498	30.99%	29.86%	39.15%	-0.41	-5.5	3
2021-08-08	Winterthur	D 1-1	58.4	1458	1467	39.48%	29.83%	30.70%	+0.43	-0.3	2
2021-08-08	@ Schaffhausen	D 1-1	58.4	1467	1458	30.70%	29.83%	39.48%	-0.43	+0.3	5
2021-08-10	Aarau	W 4-2	55.4	1468	1487	38.14%	29.94%	31.93%	+0.36	+8.2	9
2021-08-10	@ Neuchatel Xamax	L 2-4	55.4	1487	1468	31.93%	29.94%	38.14%	-0.36	-8.2	6
2021-08-20	Thun	W 3-0	45.0	1467	1511	34.52%	30.04%	35.44%	+0.18	+16.5	8
2021-08-20	@ Winterthur	L 0-3	45.0	1511	1467	35.44%	30.04%	34.52%	-0.18	-16.5	6
2021-08-21	Lausanne-Ouchy	W 5-2	52.7	1479	1504	37.25%	29.99%	32.76%	+0.32	+11.4	9
2021-08-21	@ Aarau	L 2-5	52.7	1504	1479	32.76%	29.99%	37.25%	-0.32	-11.4	7
2021-08-21	Neuchatel Xamax	D 1-1	56.7	1393	1476	29.33%	29.66%	41.01%	-0.11	+0.4	1
2021-08-21	@ Yverdon-Sport	D 1-1	56.7	1476	1393	41.01%	29.66%	29.33%	+0.11	-0.4	10
2021-08-22	Vaduz	D 1-1	59.7	1457	1504	34.11%	30.03%	35.85%	+0.16	+0.0	3
2021-08-22	@ Schaffhausen	D 1-1	59.7	1504	1457	35.85%	30.03%	34.11%	-0.16	-0.1	4
2021-08-27	Vaduz	L 1-3	54.5	1490	1504	38.80%	29.89%	31.32%	+0.39	-10.5	9
2021-08-27	@ Aarau	W 3-1	54.5	1504	1490	31.32%	29.89%	38.80%	-0.39	+10.5	7
2021-08-28	Winterthur	L 2-3	58.0	1423	1484	32.14%	29.95%	37.91%	+0.05	-5.0	1
2021-08-28	@ Kriens	W 3-2	58.0	1484	1423	37.91%	29.95%	32.14%	-0.05	+5.0	11
2021-08-29	Wil	W 3-0	39.9	1476	1448	44.73%	29.04%	26.24%	+0.70	+13.1	13
2021-08-29	@ Neuchatel Xamax	L 0-3	39.9	1448	1476	26.24%	29.04%	44.73%	-0.70	-13.1	3
2021-08-29	Yverdon-Sport	W 4-3	56.1	1458	1394	49.52%	27.80%	22.68%	+0.96	+3.7	6
2021-08-29	@ Schaffhausen	L 3-4	56.1	1394	1458	22.68%	27.80%	49.52%	-0.96	-3.7	1
2021-09-03	Wil	L 0-2	44.2	1418	1435	38.39%	29.92%	31.70%	+0.37	-12.0	1
2021-09-03	@ Kriens	W 2-0	44.2	1435	1418	31.70%	29.92%	38.39%	-0.37	+12.0	6
2021-09-10	Aarau	D 1-1	56.8	1390	1480	28.53%	29.53%	41.94%	-0.15	+0.4	2
2021-09-10	@ Yverdon-Sport	D 1-1	56.8	1480	1390	41.94%	29.53%	28.53%	+0.15	-0.4	10
2021-09-10	Schaffhausen	W 2-1	52.3	1492	1461	45.10%	28.96%	25.94%	+0.72	+4.5	10
2021-09-10	@ Lausanne-Ouchy	L 1-2	52.3	1461	1492	25.94%	28.96%	45.10%	-0.72	-4.5	6
2021-09-11	Neuchatel Xamax	W 2-1	54.5	1489	1489	40.74%	29.69%	29.57%	+0.49	+5.0	14
2021-09-11	@ Winterthur	L 1-2	54.5	1489	1489	29.57%	29.69%	40.74%	-0.49	-5.0	13
2021-09-11	Thun	D 2-2	64.3	1447	1495	33.93%	30.03%	36.04%	+0.15	+0.1	7
2021-09-11	@ Wil	D 2-2	64.3	1495	1447	36.04%	30.03%	33.93%	-0.15	-0.0	7
2021-09-12	Kriens	W 4-1	41.7	1515	1406	55.36%	25.67%	18.96%	+1.29	+8.2	10
2021-09-12	@ Vaduz	L 1-4	41.7	1406	1515	18.96%	25.67%	55.36%	-1.29	-8.2	1
2021-09-14	Lausanne-Ouchy	W 1-0	50.3	1495	1497	40.50%	29.72%	29.78%	+0.48	+5.3	10
2021-09-14	@ Thun	L 0-1	50.3	1497	1495	29.78%	29.72%	40.50%	-0.48	-5.3	10
2021-09-21	Thun	W 2-1	55.6	1457	1500	34.62%	30.04%	35.34%	+0.18	+5.7	9
2021-09-21	@ Schaffhausen	L 1-2	55.6	1500	1457	35.34%	30.04%	34.62%	-0.18	-5.7	10
2021-09-21	Wil	W 2-0	42.5	1479	1447	45.31%	28.91%	25.77%	+0.73	+8.9	13
2021-09-21	@ Aarau	L 0-2	42.5	1447	1479	25.77%	28.91%	45.31%	-0.73	-8.9	7
2021-09-21	Winterthur	W 2-0	46.0	1523	1494	44.84%	29.01%	26.15%	+0.71	+9.0	13
2021-09-21	@ Vaduz	L 0-2	46.0	1494	1523	26.15%	29.01%	44.84%	-0.71	-9.0	14
2021-09-22	Lausanne-Ouchy	W 3-1	51.3	1484	1491	39.77%	29.80%	30.43%	+0.44	+8.8	16
2021-09-22	@ Neuchatel Xamax	L 1-3	51.3	1491	1484	30.43%	29.80%	39.77%	-0.44	-8.8	10
2021-09-22	Yverdon-Sport	L 0-2	43.6	1397	1390	41.76%	29.56%	28.68%	+0.55	-12.8	1
2021-09-22	@ Kriens	W 2-0	43.6	1390	1397	28.68%	29.56%	41.76%	-0.55	+12.8	5
2021-09-24	Aarau	D 0-0	56.4	1485	1488	40.32%	29.74%	29.94%	+0.47	-0.4	15
2021-09-24	@ Winterthur	D 0-0	56.4	1488	1485	29.94%	29.74%	40.32%	-0.47	+0.4	14
2021-09-24	Schaffhausen	W 2-0	44.0	1438	1462	37.28%	29.99%	32.73%	+0.32	+10.7	10
2021-09-24	@ Wil	L 0-2	44.0	1462	1438	32.73%	29.99%	37.28%	-0.32	-10.7	9
2021-09-25	Kriens	W 5-0	35.2	1483	1385	53.95%	26.25%	19.80%	+1.21	+16.3	13
2021-09-25	@ Lausanne-Ouchy	L 0-5	35.2	1385	1483	19.80%	26.25%	53.95%	-1.21	-16.3	1
2021-09-25	Neuchatel Xamax	W 3-2	59.9	1494	1493	40.97%	29.66%	29.36%	+0.51	+4.7	13
2021-09-25	@ Thun	L 2-3	59.9	1493	1494	29.36%	29.66%	40.97%	-0.51	-4.7	16
2021-09-25	Vaduz	W 2-0	49.1	1403	1532	24.26%	28.43%	47.30%	-0.44	+14.0	8
2021-09-25	@ Yverdon-Sport	L 0-2	49.1	1532	1403	47.30%	28.43%	24.26%	+0.44	-14.1	13
2021-10-01	Neuchatel Xamax	W 4-0	42.5	1452	1488	35.57%	30.04%	34.40%	+0.23	+21.1	12
2021-10-01	@ Schaffhausen	L 0-4	42.5	1488	1452	34.40%	30.04%	35.57%	-0.23	-21.1	16
2021-10-01	Thun	L 1-3	56.6	1518	1499	43.43%	29.29%	27.29%	+0.63	-11.4	13
2021-10-01	@ Vaduz	W 3-1	56.6	1499	1518	27.29%	29.29%	43.43%	-0.63	+11.4	16
2021-10-02	Lausanne-Ouchy	L 2-3	59.9	1448	1499	33.60%	30.02%	36.38%	+0.13	-5.2	10
2021-10-02	@ Wil	W 3-2	59.9	1499	1448	36.38%	30.02%	33.60%	-0.13	+5.2	16
2021-10-02	Yverdon-Sport	W 1-0	44.2	1484	1417	49.95%	27.67%	22.38%	+0.98	+4.2	18
2021-10-02	@ Winterthur	L 0-1	44.2	1417	1484	22.38%	27.67%	49.95%	-0.98	-4.2	8
2021-10-03	Kriens	D 0-0	53.9	1488	1368	56.75%	25.08%	18.17%	+1.37	-1.5	15
2021-10-03	@ Aarau	D 0-0	53.9	1368	1488	18.17%	25.08%	56.75%	-1.37	+1.5	2
2021-10-15	Aarau	L 0-2	50.2	1504	1487	43.18%	29.33%	27.49%	+0.62	-13.1	16
2021-10-15	@ Lausanne-Ouchy	W 2-0	50.2	1487	1504	27.49%	29.33%	43.18%	-0.62	+13.1	18
2021-10-15	Vaduz	L 0-2	47.4	1467	1506	35.19%	30.04%	34.77%	+0.21	-11.3	16
2021-10-15	@ Neuchatel Xamax	W 2-0	47.4	1506	1467	34.77%	30.04%	35.19%	-0.21	+11.3	16
2021-10-15	Winterthur	L 0-2	50.7	1510	1489	43.83%	29.21%	26.95%	+0.65	-13.3	16
2021-10-15	@ Thun	W 2-0	50.7	1489	1510	26.95%	29.21%	43.83%	-0.65	+13.3	21
2021-10-16	Schaffhausen	D 0-0	52.3	1370	1473	26.98%	29.22%	43.80%	-0.25	+0.6	3
2021-10-16	@ Kriens	D 0-0	52.3	1473	1370	43.80%	29.22%	26.98%	+0.25	-0.6	13
2021-10-16	Wil	W 3-0	40.2	1413	1443	36.50%	30.02%	33.48%	+0.28	+15.9	11
2021-10-16	@ Yverdon-Sport	L 0-3	40.2	1443	1413	33.48%	30.02%	36.50%	-0.28	-15.8	10
2021-10-22	Neuchatel Xamax	W 2-1	52.4	1427	1456	36.74%	30.01%	33.25%	+0.29	+5.4	13
2021-10-22	@ Wil	L 1-2	52.4	1456	1427	33.25%	30.01%	36.74%	-0.29	-5.4	16
2021-10-22	Thun	L 0-2	49.9	1500	1497	41.21%	29.63%	29.16%	+0.52	-12.7	18
2021-10-22	@ Aarau	W 2-0	49.9	1497	1500	29.16%	29.63%	41.21%	-0.52	+12.7	19
2021-10-23	Kriens	W 6-1	37.4	1502	1370	58.13%	24.45%	17.41%	+1.45	+11.8	24
2021-10-23	@ Winterthur	L 1-6	37.4	1370	1502	17.41%	24.45%	58.13%	-1.45	-11.8	3
2021-10-23	Schaffhausen	W 2-1	53.1	1518	1472	47.09%	28.49%	24.42%	+0.83	+4.3	19
2021-10-23	@ Vaduz	L 1-2	53.1	1472	1518	24.42%	28.49%	47.09%	-0.83	-4.3	13
2021-10-29	Aarau	W 2-1	54.2	1522	1487	45.59%	28.85%	25.56%	+0.75	+4.4	22
2021-10-29	@ Vaduz	L 1-2	54.2	1487	1522	25.56%	28.85%	45.59%	-0.75	-4.4	18
2021-10-29	Winterthur	D 1-1	59.8	1450	1514	31.86%	29.93%	38.20%	+0.04	+0.2	17
2021-10-29	@ Neuchatel Xamax	D 1-1	59.8	1514	1450	38.20%	29.93%	31.86%	-0.04	-0.2	25
2021-10-30	Lausanne-Ouchy	W 1-0	50.5	1359	1491	23.89%	28.30%	47.81%	-0.46	+7.5	6
2021-10-30	@ Kriens	L 0-1	50.5	1491	1359	47.81%	28.30%	23.89%	+0.46	-7.5	16
2021-10-30	Thun	W 1-0	51.6	1429	1510	29.60%	29.70%	40.70%	-0.09	+6.7	14
2021-10-30	@ Yverdon-Sport	L 0-1	51.6	1510	1429	40.70%	29.70%	29.60%	+0.09	-6.6	19
2021-10-30	Wil	D 3-3	67.6	1468	1433	45.65%	28.84%	25.51%	+0.75	-0.4	14
2021-10-30	@ Schaffhausen	D 3-3	67.6	1433	1468	25.51%	28.84%	45.65%	-0.75	+0.4	14
2021-11-02	Yverdon-Sport	D 0-0	54.9	1483	1436	47.39%	28.41%	24.20%	+0.84	-0.9	17
2021-11-02	@ Lausanne-Ouchy	D 0-0	54.9	1436	1483	24.20%	28.41%	47.39%	-0.84	+0.9	15
2021-11-05	Lausanne-Ouchy	D 0-0	57.5	1513	1483	45.07%	28.96%	25.96%	+0.72	-0.7	26
2021-11-05	@ Winterthur	D 0-0	57.5	1483	1513	25.96%	28.96%	45.07%	-0.72	+0.7	18
2021-11-05	Schaffhausen	L 0-3	43.6	1451	1467	38.40%	29.92%	31.68%	+0.37	-17.5	17
2021-11-05	@ Neuchatel Xamax	W 3-0	43.6	1467	1451	31.68%	29.92%	38.40%	-0.37	+17.5	17
2021-11-05	Vaduz	D 1-1	62.3	1503	1526	37.48%	29.98%	32.55%	+0.33	-0.2	20
2021-11-05	@ Thun	D 1-1	62.3	1526	1503	32.55%	29.98%	37.48%	-0.33	+0.1	23
2021-11-06	Kriens	W 4-0	34.1	1433	1366	49.96%	27.66%	22.37%	+0.98	+14.9	17
2021-11-06	@ Wil	L 0-4	34.1	1366	1433	22.37%	27.66%	49.96%	-0.98	-14.9	6
2021-11-06	Yverdon-Sport	W 1-0	45.7	1483	1436	47.21%	28.46%	24.33%	+0.83	+4.5	21
2021-11-06	@ Aarau	L 0-1	45.7	1436	1483	24.33%	28.46%	47.21%	-0.83	-4.5	15
2021-11-19	Aarau	W 2-0	45.6	1485	1488	40.42%	29.73%	29.85%	+0.48	+10.0	20
2021-11-19	@ Schaffhausen	L 0-2	45.6	1488	1485	29.85%	29.73%	40.42%	-0.48	-10.0	21
2021-11-19	Thun	W 2-0	46.9	1483	1503	38.00%	29.95%	32.05%	+0.35	+10.6	21
2021-11-19	@ Lausanne-Ouchy	L 0-2	46.9	1503	1483	32.05%	29.95%	38.00%	-0.35	-10.6	20
2021-11-19	Winterthur	W 2-1	56.6	1432	1513	29.61%	29.70%	40.69%	-0.09	+6.3	18
2021-11-19	@ Yverdon-Sport	L 1-2	56.6	1513	1432	40.69%	29.70%	29.61%	+0.09	-6.3	26
2021-11-20	Neuchatel Xamax	L 0-1	43.8	1351	1433	29.45%	29.68%	40.87%	-0.10	-5.3	6
2021-11-20	@ Kriens	W 1-0	43.8	1433	1351	40.87%	29.68%	29.45%	+0.10	+5.3	20
2021-11-20	Wil	L 1-2	60.2	1527	1448	51.44%	27.18%	21.39%	+1.07	-7.5	23
2021-11-20	@ Vaduz	W 2-1	60.2	1448	1527	21.39%	27.18%	51.44%	-1.07	+7.5	20
2021-11-26	Kriens	W 3-1	40.7	1492	1346	59.96%	23.59%	16.45%	+1.56	+4.9	23
2021-11-26	@ Thun	L 1-3	40.7	1346	1492	16.45%	23.59%	59.96%	-1.56	-4.9	6
2021-11-26	Schaffhausen	L 2-5	56.1	1506	1495	42.40%	29.46%	28.14%	+0.58	-13.7	26
2021-11-26	@ Winterthur	W 5-2	56.1	1495	1506	28.14%	29.46%	42.40%	-0.58	+13.7	23
2021-11-26	Yverdon-Sport	W 2-1	51.0	1438	1438	40.81%	29.68%	29.50%	+0.50	+5.0	23
2021-11-26	@ Neuchatel Xamax	L 1-2	51.0	1438	1438	29.50%	29.68%	40.81%	-0.50	-5.0	18
2021-11-27	Aarau	D 2-2	64.0	1456	1478	37.69%	29.96%	32.35%	+0.34	-0.1	21
2021-11-27	@ Wil	D 2-2	64.0	1478	1456	32.35%	29.96%	37.69%	-0.34	+0.1	22
2021-11-27	Lausanne-Ouchy	W 2-1	54.8	1519	1494	44.30%	29.12%	26.58%	+0.68	+4.6	26
2021-11-27	@ Vaduz	L 1-2	54.8	1494	1519	26.58%	29.12%	44.30%	-0.68	-4.6	21
2021-12-03	Neuchatel Xamax	D 0-0	55.3	1489	1443	47.13%	28.48%	24.39%	+0.83	-0.8	22
2021-12-03	@ Lausanne-Ouchy	D 0-0	55.3	1443	1489	24.39%	28.48%	47.13%	-0.83	+0.8	24
2021-12-03	Schaffhausen	W 2-1	56.3	1433	1509	30.28%	29.78%	39.94%	-0.05	+6.2	21
2021-12-03	@ Yverdon-Sport	L 1-2	56.3	1509	1433	39.94%	29.78%	30.28%	+0.05	-6.2	23
2021-12-03	Winterthur	W 2-0	46.1	1478	1493	38.65%	29.90%	31.45%	+0.39	+10.4	25
2021-12-03	@ Aarau	L 0-2	46.1	1493	1478	31.45%	29.90%	38.65%	-0.39	-10.4	26
2021-12-04	Vaduz	L 1-3	43.1	1341	1524	19.54%	26.08%	54.38%	-0.83	-6.0	6
2021-12-04	@ Kriens	W 3-1	43.1	1524	1341	54.38%	26.08%	19.54%	+0.83	+6.0	29
2021-12-04	Wil	L 2-4	59.3	1497	1456	46.57%	28.62%	24.81%	+0.80	-10.8	23
2021-12-04	@ Thun	W 4-2	59.3	1456	1497	24.81%	28.62%	46.57%	-0.80	+10.8	24
2021-12-10	Thun	L 1-4	48.2	1444	1487	34.74%	30.04%	35.22%	+0.19	-13.7	24
2021-12-10	@ Neuchatel Xamax	W 4-1	48.2	1487	1444	35.22%	30.04%	34.74%	-0.19	+13.7	26
2021-12-10	Yverdon-Sport	D 2-2	66.3	1530	1439	52.96%	26.63%	20.42%	+1.15	-0.8	30
2021-12-10	@ Vaduz	D 2-2	66.3	1439	1530	20.42%	26.63%	52.96%	-1.15	+0.8	22
2021-12-11	Lausanne-Ouchy	W 1-0	49.6	1503	1488	42.75%	29.40%	27.84%	+0.60	+5.0	26
2021-12-11	@ Schaffhausen	L 0-1	49.6	1488	1503	27.84%	29.40%	42.75%	-0.60	-5.0	22
2021-12-11	Winterthur	L 3-5	59.3	1466	1482	38.52%	29.91%	31.57%	+0.38	-8.8	24
2021-12-11	@ Wil	W 5-3	59.3	1482	1466	31.57%	29.91%	38.52%	-0.38	+8.8	29
2021-12-14	Aarau	L 1-2	46.6	1335	1488	21.97%	27.47%	50.55%	-0.61	-3.9	6
2021-12-14	@ Kriens	W 2-1	46.6	1488	1335	50.55%	27.47%	21.97%	+0.61	+3.9	28
2021-12-17	Kriens	W 2-0	35.2	1440	1331	55.38%	25.67%	18.96%	+1.29	+6.7	25
2021-12-17	@ Yverdon-Sport	L 0-2	35.2	1331	1440	18.96%	25.67%	55.38%	-1.29	-6.7	6
2021-12-17	Neuchatel Xamax	W 1-0	45.2	1492	1431	49.20%	27.90%	22.90%	+0.94	+4.3	31
2021-12-17	@ Aarau	L 0-1	45.2	1431	1492	22.90%	27.90%	49.20%	-0.94	-4.3	24
2021-12-17	Schaffhausen	D 2-2	66.8	1500	1508	39.77%	29.80%	30.43%	+0.44	-0.2	27
2021-12-17	@ Thun	D 2-2	66.8	1508	1500	30.43%	29.80%	39.77%	-0.44	+0.2	27
2021-12-18	Wil	W 2-1	52.1	1483	1457	44.41%	29.10%	26.49%	+0.68	+4.6	25
2021-12-18	@ Lausanne-Ouchy	L 1-2	52.1	1457	1483	26.49%	29.10%	44.41%	-0.68	-4.6	24
2021-12-19	Vaduz	L 2-3	63.1	1491	1529	35.42%	30.04%	34.55%	+0.22	-5.4	29
2021-12-19	@ Winterthur	W 3-2	63.1	1529	1491	34.55%	30.04%	35.42%	-0.22	+5.4	33
2022-01-28	Lausanne-Ouchy	D 0-0	54.9	1447	1488	34.94%	30.04%	35.02%	+0.20	+0.0	26
2022-01-28	@ Yverdon-Sport	D 0-0	54.9	1488	1447	35.02%	30.04%	34.94%	-0.20	-0.0	26
2022-01-28	Neuchatel Xamax	D 1-1	59.0	1496	1426	50.33%	27.55%	22.13%	+1.00	-1.0	32
2022-01-28	@ Aarau	D 1-1	59.0	1426	1496	22.13%	27.55%	50.33%	-1.00	+1.0	25
2022-01-30	Kriens	W 3-0	31.5	1486	1324	61.72%	22.71%	15.57%	+1.67	+7.8	32
2022-01-30	@ Winterthur	L 0-3	31.5	1324	1486	15.57%	22.71%	61.72%	-1.67	-7.8	6
2022-01-30	Vaduz	D 4-4	72.7	1453	1534	29.54%	29.69%	40.77%	-0.09	+0.2	25
2022-01-30	@ Wil	D 4-4	72.7	1534	1453	40.77%	29.69%	29.54%	+0.09	-0.2	34
2022-02-04	Schaffhausen	W 2-1	56.3	1427	1508	29.63%	29.70%	40.66%	-0.09	+6.3	28
2022-02-04	@ Neuchatel Xamax	L 1-2	56.3	1508	1427	40.66%	29.70%	29.63%	+0.09	-6.3	27
2022-02-04	Winterthur	D 0-0	58.8	1534	1494	46.39%	28.66%	24.95%	+0.79	-0.8	35
2022-02-04	@ Vaduz	D 0-0	58.8	1494	1534	24.95%	28.66%	46.39%	-0.79	+0.8	33
2022-02-05	Aarau	L 2-5	54.8	1488	1495	39.77%	29.80%	30.43%	+0.44	-13.1	26
2022-02-05	@ Lausanne-Ouchy	W 5-2	54.8	1495	1488	30.43%	29.80%	39.77%	-0.44	+13.1	35
2022-02-05	Wil	W 3-0	40.2	1500	1453	47.27%	28.44%	24.29%	+0.84	+12.3	30
2022-02-05	@ Thun	L 0-3	40.2	1453	1500	24.29%	28.44%	47.27%	-0.84	-12.3	25
2022-02-05	Yverdon-Sport	L 0-3	34.8	1317	1447	24.09%	28.37%	47.53%	-0.45	-12.2	6
2022-02-05	@ Kriens	W 3-0	34.8	1447	1317	47.53%	28.37%	24.09%	+0.45	+12.2	29
2022-02-11	Kriens	W 2-1	41.9	1475	1304	62.80%	22.15%	15.05%	+1.73	+2.6	29
2022-02-11	@ Lausanne-Ouchy	L 1-2	41.9	1304	1475	15.05%	22.15%	62.80%	-1.73	-2.6	6
2022-02-11	Vaduz	W 4-2	58.9	1501	1533	36.27%	30.02%	33.71%	+0.27	+8.5	30
2022-02-11	@ Schaffhausen	L 2-4	58.9	1533	1501	33.71%	30.02%	36.27%	-0.27	-8.5	35
2022-02-12	Neuchatel Xamax	D 0-0	53.8	1459	1433	44.38%	29.11%	26.52%	+0.68	-0.7	30
2022-02-12	@ Yverdon-Sport	D 0-0	53.8	1433	1459	26.52%	29.11%	44.38%	-0.68	+0.6	29
2022-02-12	Wil	W 4-0	38.6	1494	1441	48.15%	28.20%	23.65%	+0.88	+15.7	36
2022-02-12	@ Winterthur	L 0-4	38.6	1441	1494	23.65%	28.20%	48.15%	-0.88	-15.7	25
2022-02-13	Thun	W 2-0	47.5	1508	1512	40.21%	29.75%	30.04%	+0.47	+10.1	38
2022-02-13	@ Aarau	L 0-2	47.5	1512	1508	30.04%	29.75%	40.21%	-0.47	-10.1	30
2022-02-18	Lausanne-Ouchy	D 1-1	57.9	1434	1478	34.60%	30.04%	35.36%	+0.18	+0.0	30
2022-02-18	@ Neuchatel Xamax	D 1-1	57.9	1478	1434	35.36%	30.04%	34.60%	-0.18	-0.0	30
2022-02-18	Winterthur	L 2-4	59.8	1502	1510	39.70%	29.81%	30.49%	+0.44	-9.5	30
2022-02-18	@ Thun	W 4-2	59.8	1510	1502	30.49%	29.81%	39.70%	-0.44	+9.5	39
2022-02-19	Aarau	L 0-5	32.6	1302	1518	17.17%	24.25%	58.58%	-1.07	-14.0	6
2022-02-19	@ Kriens	W 5-0	32.6	1518	1302	58.58%	24.25%	17.17%	+1.07	+14.0	41
2022-02-19	Schaffhausen	W 3-2	61.6	1425	1510	29.10%	29.62%	41.27%	-0.12	+6.0	28
2022-02-19	@ Wil	L 2-3	61.6	1510	1425	41.27%	29.62%	29.10%	+0.12	-6.0	30
2022-02-19	Yverdon-Sport	W 2-0	43.2	1525	1459	49.83%	27.70%	22.46%	+0.98	+7.9	38
2022-02-19	@ Vaduz	L 0-2	43.2	1459	1525	22.46%	27.70%	49.83%	-0.98	-7.9	30
2022-02-22	Thun	W 1-0	49.9	1504	1493	42.36%	29.47%	28.18%	+0.58	+5.1	33
2022-02-22	@ Schaffhausen	L 0-1	49.9	1493	1504	28.18%	29.47%	42.36%	-0.58	-5.1	30
2022-02-25	Kriens	W 2-1	41.8	1434	1288	59.94%	23.60%	16.46%	+1.56	+2.9	33
2022-02-25	@ Neuchatel Xamax	L 1-2	41.8	1288	1434	16.46%	23.60%	59.94%	-1.56	-2.9	6
2022-02-25	Thun	D 2-2	64.2	1451	1488	35.51%	30.04%	34.45%	+0.23	-0.0	31
2022-02-25	@ Yverdon-Sport	D 2-2	64.2	1488	1451	34.45%	30.04%	35.51%	-0.23	+0.0	31
2022-02-25	Vaduz	W 2-0	49.3	1477	1533	32.95%	30.00%	37.05%	+0.10	+11.7	33
2022-02-25	@ Lausanne-Ouchy	L 0-2	49.3	1533	1477	37.05%	30.00%	32.95%	-0.10	-11.7	38
2022-02-25	Wil	W 2-1	49.9	1532	1431	54.38%	26.08%	19.54%	+1.23	+3.4	44
2022-02-25	@ Aarau	L 1-2	49.9	1431	1532	19.54%	26.08%	54.38%	-1.23	-3.4	28
2022-02-25	Winterthur	W 3-2	62.0	1509	1520	39.30%	29.85%	30.86%	+0.42	+4.9	36
2022-02-25	@ Schaffhausen	L 2-3	62.0	1520	1509	30.86%	29.85%	39.30%	-0.42	-4.9	39
2022-02-28	Aarau	L 0-2	51.5	1521	1536	38.67%	29.90%	31.43%	+0.39	-12.1	38
2022-02-28	@ Vaduz	W 2-0	51.5	1536	1521	31.43%	29.90%	38.67%	-0.39	+12.1	47
2022-02-28	Yverdon-Sport	W 2-0	42.6	1515	1451	49.55%	27.79%	22.66%	+0.96	+8.0	42
2022-02-28	@ Winterthur	L 0-2	42.6	1451	1515	22.66%	27.79%	49.55%	-0.96	-8.0	31
2022-03-01	Kriens	W 3-1	38.3	1428	1285	59.50%	23.81%	16.69%	+1.53	+5.0	31
2022-03-01	@ Wil	L 1-3	38.3	1285	1428	16.69%	23.81%	59.50%	-1.53	-5.0	6
2022-03-01	Lausanne-Ouchy	L 0-1	54.9	1514	1489	44.24%	29.14%	26.63%	+0.68	-7.1	36
2022-03-01	@ Schaffhausen	W 1-0	54.9	1489	1514	26.63%	29.14%	44.24%	-0.68	+7.1	36
2022-03-01	Neuchatel Xamax	L 1-2	57.6	1488	1437	47.77%	28.31%	23.92%	+0.86	-7.1	31
2022-03-01	@ Thun	W 2-1	57.6	1437	1488	23.92%	28.31%	47.77%	-0.86	+7.1	36
2022-03-04	Schaffhausen	L 3-4	70.5	1548	1507	46.48%	28.64%	24.88%	+0.79	-6.4	47
2022-03-04	@ Aarau	W 4-3	70.5	1507	1548	24.88%	28.64%	46.48%	-0.79	+6.4	39
2022-03-04	Vaduz	L 2-4	55.2	1444	1509	31.66%	29.92%	38.42%	+0.03	-8.1	36
2022-03-04	@ Neuchatel Xamax	W 4-2	55.2	1509	1444	38.42%	29.92%	31.66%	-0.03	+8.1	41
2022-03-04	Wil	D 2-2	62.3	1443	1433	42.19%	29.49%	28.32%	+0.57	-0.3	32
2022-03-04	@ Yverdon-Sport	D 2-2	62.3	1433	1443	28.32%	29.49%	42.19%	-0.57	+0.3	32
2022-03-04	Winterthur	W 3-1	53.7	1496	1523	37.04%	30.00%	32.97%	+0.30	+9.4	39
2022-03-04	@ Lausanne-Ouchy	L 1-3	53.7	1523	1496	32.97%	30.00%	37.04%	-0.30	-9.4	42
2022-03-05	Thun	L 0-1	38.6	1280	1481	18.23%	25.13%	56.64%	-0.96	-3.4	6
2022-03-05	@ Kriens	W 1-0	38.6	1481	1280	56.64%	25.13%	18.23%	+0.96	+3.4	34
2022-03-11	Aarau	W 4-2	59.5	1513	1542	36.77%	30.01%	33.22%	+0.29	+8.4	45
2022-03-11	@ Winterthur	L 2-4	59.5	1542	1513	33.22%	30.01%	36.77%	-0.29	-8.4	47
2022-03-11	Yverdon-Sport	W 3-1	47.3	1513	1442	50.46%	27.50%	22.04%	+1.01	+6.7	42
2022-03-11	@ Schaffhausen	L 1-3	47.3	1442	1513	22.04%	27.50%	50.46%	-1.01	-6.7	32
2022-03-12	Kriens	W 3-2	45.1	1517	1276	70.54%	17.84%	11.61%	+2.24	+1.8	44
2022-03-12	@ Vaduz	L 2-3	45.1	1276	1517	11.61%	17.84%	70.54%	-2.24	-1.8	6
2022-03-12	Lausanne-Ouchy	W 2-1	55.9	1484	1506	37.73%	29.96%	32.31%	+0.34	+5.3	37
2022-03-12	@ Thun	L 1-2	55.9	1506	1484	32.31%	29.96%	37.73%	-0.34	-5.3	39
2022-03-12	Neuchatel Xamax	W 2-0	42.1	1433	1436	40.37%	29.74%	29.89%	+0.48	+10.0	35
2022-03-12	@ Wil	L 0-2	42.1	1436	1433	29.89%	29.74%	40.37%	-0.48	-10.0	36
2022-03-18	Thun	L 0-2	51.2	1519	1489	44.87%	29.01%	26.12%	+0.71	-13.5	44
2022-03-18	@ Vaduz	W 2-0	51.2	1489	1519	26.12%	29.01%	44.87%	-0.71	+13.5	40
2022-03-18	Winterthur	D 0-0	55.6	1426	1522	27.80%	29.40%	42.80%	-0.20	+0.5	37
2022-03-18	@ Neuchatel Xamax	D 0-0	55.6	1522	1426	42.80%	29.40%	27.80%	+0.20	-0.5	46
2022-03-19	Schaffhausen	D 0-0	53.1	1275	1520	15.43%	22.56%	62.01%	-1.28	+1.8	7
2022-03-19	@ Kriens	D 0-0	53.1	1520	1275	62.01%	22.56%	15.43%	+1.28	-1.8	43
2022-03-19	Wil	D 1-1	59.6	1500	1443	48.65%	28.06%	23.29%	+0.91	-0.8	40
2022-03-19	@ Lausanne-Ouchy	D 1-1	59.6	1443	1500	23.29%	28.06%	48.65%	-0.91	+0.8	36
2022-03-19	Yverdon-Sport	L 0-2	51.7	1533	1436	53.90%	26.27%	19.84%	+1.20	-15.5	47
2022-03-19	@ Aarau	W 2-0	51.7	1436	1533	19.84%	26.27%	53.90%	-1.20	+15.5	35
2022-04-01	Aarau	L 3-4	62.6	1444	1518	30.49%	29.81%	39.70%	-0.04	-4.7	36
2022-04-01	@ Wil	W 4-3	62.6	1518	1444	39.70%	29.81%	30.49%	+0.04	+4.7	50
2022-04-01	Neuchatel Xamax	W 2-1	49.6	1518	1426	53.15%	26.56%	20.29%	+1.16	+3.6	46
2022-04-01	@ Schaffhausen	L 1-2	49.6	1426	1518	20.29%	26.56%	53.15%	-1.16	-3.6	37
2022-04-01	Vaduz	L 1-4	48.6	1451	1505	33.10%	30.00%	36.90%	+0.10	-13.3	35
2022-04-01	@ Yverdon-Sport	W 4-1	48.6	1505	1451	36.90%	30.00%	33.10%	-0.10	+13.3	47
2022-04-02	Kriens	W 3-1	36.6	1503	1277	69.05%	18.71%	12.24%	+2.14	+3.5	43
2022-04-02	@ Thun	L 1-3	36.6	1277	1503	12.24%	18.71%	69.05%	-2.14	-3.5	7
2022-04-02	Lausanne-Ouchy	W 2-1	55.2	1521	1499	43.82%	29.22%	26.96%	+0.65	+4.6	49
2022-04-02	@ Winterthur	L 1-2	55.2	1499	1521	26.96%	29.22%	43.82%	-0.65	-4.6	40
2022-04-08	Thun	W 4-1	49.9	1423	1506	29.28%	29.65%	41.07%	-0.11	+15.5	40
2022-04-08	@ Neuchatel Xamax	L 1-4	49.9	1506	1423	41.07%	29.65%	29.28%	+0.11	-15.5	43
2022-04-08	Winterthur	L 0-3	48.9	1522	1526	40.30%	29.74%	29.96%	+0.47	-18.1	50
2022-04-08	@ Aarau	W 3-0	48.9	1526	1522	29.96%	29.74%	40.30%	-0.47	+18.1	52
2022-04-09	Wil	W 2-1	53.4	1273	1439	20.87%	26.89%	52.24%	-0.71	+7.6	10
2022-04-09	@ Kriens	L 1-2	53.4	1439	1273	52.24%	26.89%	20.87%	+0.71	-7.6	36
2022-04-09	Yverdon-Sport	L 0-1	53.3	1495	1438	48.61%	28.07%	23.32%	+0.91	-7.6	40
2022-04-09	@ Lausanne-Ouchy	W 1-0	53.3	1438	1495	23.32%	28.07%	48.61%	-0.91	+7.6	38
2022-04-10	Schaffhausen	L 2-3	65.2	1518	1522	40.33%	29.74%	29.93%	+0.47	-5.9	47
2022-04-10	@ Vaduz	W 3-2	65.2	1522	1518	29.93%	29.74%	40.33%	-0.47	+5.9	49
2022-04-16	Lausanne-Ouchy	W 3-0	43.3	1432	1487	32.89%	29.99%	37.12%	+0.09	+17.1	39
2022-04-16	@ Wil	L 0-3	43.3	1487	1432	37.12%	29.99%	32.89%	-0.09	-17.0	40
2022-04-16	Neuchatel Xamax	L 0-5	32.9	1281	1438	21.57%	27.27%	51.15%	-0.65	-17.8	10
2022-04-16	@ Kriens	W 5-0	32.9	1438	1281	51.15%	27.27%	21.57%	+0.65	+17.8	43
2022-04-16	Vaduz	W 4-2	57.0	1544	1513	45.15%	28.95%	25.90%	+0.72	+6.9	55
2022-04-16	@ Winterthur	L 2-4	57.0	1513	1544	25.90%	28.95%	45.15%	-0.72	-6.9	47
2022-04-18	Aarau	W 2-1	55.7	1491	1504	38.89%	29.88%	31.23%	+0.40	+5.2	46
2022-04-18	@ Thun	L 1-2	55.7	1504	1491	31.23%	29.88%	38.89%	-0.40	-5.2	50
2022-04-18	Schaffhausen	L 0-1	49.5	1445	1528	29.43%	29.67%	40.89%	-0.10	-5.3	38
2022-04-18	@ Yverdon-Sport	W 1-0	49.5	1528	1445	40.89%	29.67%	29.43%	+0.10	+5.3	52
2022-04-22	Neuchatel Xamax	W 2-0	43.1	1506	1456	47.60%	28.35%	24.04%	+0.86	+8.4	50
2022-04-22	@ Vaduz	L 0-2	43.1	1456	1506	24.04%	28.35%	47.60%	-0.86	-8.4	43
2022-04-22	Wil	W 5-2	48.2	1533	1449	52.19%	26.91%	20.90%	+1.11	+7.8	55
2022-04-22	@ Schaffhausen	L 2-5	48.2	1449	1533	20.90%	26.91%	52.19%	-1.11	-7.8	39
2022-04-23	Kriens	W 3-2	44.6	1499	1263	70.09%	18.11%	11.80%	+2.21	+1.8	53
2022-04-23	@ Aarau	L 2-3	44.6	1263	1499	11.80%	18.11%	70.09%	-2.21	-1.8	10
2022-04-23	Thun	W 3-1	51.7	1470	1496	37.11%	29.99%	32.89%	+0.31	+9.3	43
2022-04-23	@ Lausanne-Ouchy	L 1-3	51.7	1496	1470	32.89%	29.99%	37.11%	-0.31	-9.3	46
2022-04-24	Winterthur	D 2-2	66.4	1440	1551	26.14%	29.01%	44.85%	-0.31	+0.5	39
2022-04-24	@ Yverdon-Sport	D 2-2	66.4	1551	1440	44.85%	29.01%	26.14%	+0.31	-0.5	56
2022-04-29	Aarau	L 0-3	43.2	1448	1501	33.23%	30.01%	36.76%	+0.11	-15.8	43
2022-04-29	@ Neuchatel Xamax	W 3-0	43.2	1501	1448	36.76%	30.01%	33.23%	-0.11	+15.8	56
2022-04-29	Schaffhausen	D 1-1	64.6	1550	1541	42.14%	29.50%	28.36%	+0.57	-0.4	57
2022-04-29	@ Winterthur	D 1-1	64.6	1541	1550	28.36%	29.50%	42.14%	-0.57	+0.4	56
2022-04-30	Lausanne-Ouchy	W 2-1	54.9	1261	1480	17.05%	24.14%	58.81%	-1.09	+8.3	13
2022-04-30	@ Kriens	L 1-2	54.9	1480	1261	58.81%	24.14%	17.05%	+1.09	-8.3	43
2022-04-30	Vaduz	W 3-0	45.1	1487	1514	36.90%	30.00%	33.09%	+0.30	+15.7	49
2022-04-30	@ Thun	L 0-3	45.1	1514	1487	33.09%	30.00%	36.90%	-0.30	-15.7	50
2022-04-30	Yverdon-Sport	D 2-2	62.4	1441	1441	40.81%	29.68%	29.50%	+0.50	-0.3	40
2022-04-30	@ Wil	D 2-2	62.4	1441	1441	29.50%	29.68%	40.81%	-0.50	+0.3	40
2022-05-06	Aarau	L 0-4	41.8	1441	1517	30.24%	29.78%	39.98%	-0.05	-19.2	40
2022-05-06	@ Yverdon-Sport	W 4-0	41.8	1517	1441	39.98%	29.78%	30.24%	+0.05	+19.2	59
2022-05-06	Kriens	W 4-1	33.0	1541	1269	73.73%	15.97%	10.31%	+2.47	+3.9	59
2022-05-06	@ Schaffhausen	L 1-4	33.0	1269	1541	10.31%	15.97%	73.73%	-2.47	-3.9	13
2022-05-06	Neuchatel Xamax	L 1-3	53.1	1471	1432	46.22%	28.70%	25.07%	+0.78	-12.0	43
2022-05-06	@ Lausanne-Ouchy	W 3-1	53.1	1432	1471	25.07%	28.70%	46.22%	-0.78	+12.0	46
2022-05-06	Thun	D 2-2	68.9	1550	1502	47.34%	28.42%	24.23%	+0.84	-0.6	58
2022-05-06	@ Winterthur	D 2-2	68.9	1502	1550	24.23%	28.42%	47.34%	-0.84	+0.6	50
2022-05-06	Wil	W 5-2	47.7	1498	1441	48.71%	28.04%	23.25%	+0.92	+8.6	53
2022-05-06	@ Vaduz	L 2-5	47.7	1441	1498	23.25%	28.04%	48.71%	-0.92	-8.6	40
2022-05-09	Lausanne-Ouchy	W 2-1	52.0	1536	1459	51.20%	27.26%	21.55%	+1.05	+3.8	62
2022-05-09	@ Aarau	L 1-2	52.0	1459	1536	21.55%	27.26%	51.20%	-1.05	-3.8	43
2022-05-09	Winterthur	D 1-1	60.8	1432	1549	25.41%	28.81%	45.78%	-0.36	+0.7	41
2022-05-09	@ Wil	D 1-1	60.8	1549	1432	45.78%	28.81%	25.41%	+0.36	-0.7	59
2022-05-10	Schaffhausen	L 2-5	55.8	1503	1545	34.78%	30.04%	35.18%	+0.19	-11.9	50
2022-05-10	@ Thun	W 5-2	55.8	1545	1503	35.18%	30.04%	34.78%	-0.19	+11.9	62
2022-05-10	Vaduz	L 0-1	37.4	1265	1507	15.65%	22.79%	61.57%	-1.26	-2.9	13
2022-05-10	@ Kriens	W 1-0	37.4	1507	1265	61.57%	22.79%	15.65%	+1.26	+2.9	56
2022-05-10	Yverdon-Sport	D 1-1	56.7	1444	1422	43.89%	29.20%	26.91%	+0.66	-0.6	47
2022-05-10	@ Neuchatel Xamax	D 1-1	56.7	1422	1444	26.91%	29.20%	43.89%	-0.66	+0.5	41
2022-05-14	Aarau	L 0-1	58.0	1557	1540	43.21%	29.33%	27.46%	+0.62	-7.0	62
2022-05-14	@ Schaffhausen	W 1-0	58.0	1540	1557	27.46%	29.33%	43.21%	-0.62	+7.0	65
2022-05-14	Kriens	W 3-2	46.0	1422	1263	61.53%	22.81%	15.67%	+1.65	+2.6	44
2022-05-14	@ Yverdon-Sport	L 2-3	46.0	1263	1422	15.67%	22.81%	61.53%	-1.65	-2.6	13
2022-05-14	Lausanne-Ouchy	D 2-2	65.7	1510	1455	48.26%	28.17%	23.57%	+0.89	-0.6	57
2022-05-14	@ Vaduz	D 2-2	65.7	1455	1510	23.57%	28.17%	48.26%	-0.89	+0.6	44
2022-05-14	Neuchatel Xamax	W 3-1	47.4	1549	1443	54.88%	25.87%	19.24%	+1.26	+5.9	62
2022-05-14	@ Winterthur	L 1-3	47.4	1443	1549	19.24%	25.87%	54.88%	-1.26	-5.9	47
2022-05-14	Thun	L 1-2	53.5	1433	1491	32.50%	29.97%	37.53%	+0.07	-5.3	41
2022-05-14	@ Wil	W 2-1	53.5	1491	1433	37.53%	29.97%	32.50%	-0.07	+5.3	53
2022-05-21	Schaffhausen	L 1-2	55.0	1456	1550	28.02%	29.44%	42.54%	-0.19	-4.8	44
2022-05-21	@ Lausanne-Ouchy	W 2-1	55.0	1550	1456	42.54%	29.44%	28.02%	+0.19	+4.8	65
2022-05-21	Vaduz	L 1-2	62.0	1547	1509	45.98%	28.76%	25.26%	+0.77	-6.9	65
2022-05-21	@ Aarau	W 2-1	62.0	1509	1547	25.26%	28.76%	45.98%	-0.77	+6.9	60
2022-05-21	Wil	W 5-2	47.2	1438	1427	42.23%	29.49%	28.29%	+0.57	+10.2	50
2022-05-21	@ Neuchatel Xamax	L 2-5	47.2	1427	1438	28.29%	29.49%	42.23%	-0.57	-10.2	41
2022-05-21	Winterthur	L 0-5	29.7	1260	1555	12.86%	19.53%	67.61%	-1.64	-9.9	13
2022-05-21	@ Kriens	W 5-0	29.7	1555	1260	67.61%	19.53%	12.86%	+1.64	+9.9	65
2022-05-21	Yverdon-Sport	W 2-1	49.5	1496	1425	50.54%	27.48%	21.98%	+1.02	+3.9	56
2022-05-21	@ Thun	L 1-2	49.5	1425	1496	21.98%	27.48%	50.54%	-1.02	-3.9	44

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
2022-05-26	Luzern	D 2-2	1555	1643	28.71%	29.56%	41.73%	-0.14	+0.3	1
2022-05-26	@ Schaffhausen	D 2-2	1643	1555	41.73%	29.56%	28.71%	+0.14	-0.3	1
2022-05-29	Schaffhausen	W 2-0	1643	1555	52.61%	26.76%	20.63%	+1.13	+7.3	4
2022-05-29	@ Luzern	L 0-2	1555	1643	20.63%	26.76%	52.61%	-1.13	-7.3	1

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	2022-04-30	17.05%	@ Kriens	1261	2	Lausanne-Ouchy	1480	1
2	2022-03-19	19.84%	Yverdon-Sport	1436	2	@ Aarau	1533	0
3	2022-04-09	20.87%	@ Kriens	1273	2	Wil	1439	1
4	2021-11-20	21.39%	Wil	1448	2	@ Vaduz	1527	1
5	2021-08-01	21.71%	Neuchatel Xamax	1442	2	@ Vaduz	1517	1
6	2022-04-09	23.32%	Yverdon-Sport	1438	1	@ Lausanne-Ouchy	1495	0
7	2021-10-30	23.89%	@ Kriens	1359	1	Lausanne-Ouchy	1491	0
8	2022-03-01	23.92%	Neuchatel Xamax	1437	2	@ Thun	1488	1
9	2021-09-25	24.26%	@ Yverdon-Sport	1403	2	Vaduz	1532	0
10	2021-12-04	24.81%	Wil	1456	4	@ Thun	1497	2
11	2022-03-04	24.88%	Schaffhausen	1507	4	@ Aarau	1548	3
12	2022-05-06	25.07%	Neuchatel Xamax	1432	3	@ Lausanne-Ouchy	1471	1
13	2021-08-06	25.20%	Aarau	1480	2	@ Thun	1518	1
14	2022-05-21	25.26%	Vaduz	1509	2	@ Aarau	1547	1
15	2022-03-18	26.12%	Thun	1489	2	@ Vaduz	1519	0
16	2022-03-01	26.63%	Lausanne-Ouchy	1489	1	@ Schaffhausen	1514	0
17	2021-10-15	26.95%	Winterthur	1489	2	@ Thun	1510	0
18	2021-10-01	27.29%	Thun	1499	3	@ Vaduz	1518	1
19	2022-05-14	27.46%	Aarau	1540	1	@ Schaffhausen	1557	0
20	2021-10-15	27.49%	Aarau	1487	2	@ Lausanne-Ouchy	1504	0
21	2021-11-26	28.14%	Schaffhausen	1495	5	@ Winterthur	1506	2
22	2021-09-22	28.68%	Yverdon-Sport	1390	2	@ Kriens	1397	0
23	2022-02-19	29.10%	@ Wil	1425	3	Schaffhausen	1510	2
24	2021-10-22	29.16%	Thun	1497	2	@ Aarau	1500	0
25	2022-04-08	29.28%	@ Neuchatel Xamax	1423	4	Thun	1506	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	2021-10-01	21.11	@ Schaffhausen	4	1452	35.57%	Neuchatel Xamax	0	1488	34.40%	30.04%
2	2022-05-06	19.22	Aarau	4	1517	39.98%	@ Yverdon-Sport	0	1441	30.24%	29.78%
3	2021-08-06	18.33	@ Neuchatel Xamax	4	1450	42.04%	Kriens	0	1441	28.44%	29.52%
4	2022-04-08	18.10	Winterthur	3	1526	29.96%	@ Aarau	0	1522	40.30%	29.74%
5	2022-04-16	17.79	Neuchatel Xamax	5	1438	51.15%	@ Kriens	0	1281	21.57%	27.27%
6	2021-11-05	17.48	Schaffhausen	3	1467	31.68%	@ Neuchatel Xamax	0	1451	38.40%	29.92%
7	2022-04-16	17.05	@ Wil	3	1432	32.89%	Lausanne-Ouchy	0	1487	37.12%	29.99%
8	2021-08-20	16.50	@ Winterthur	3	1467	34.52%	Thun	0	1511	35.44%	30.04%
9	2021-09-25	16.34	@ Lausanne-Ouchy	5	1483	53.95%	Kriens	0	1385	19.80%	26.25%
10	2021-10-16	15.85	@ Yverdon-Sport	3	1413	36.50%	Wil	0	1443	33.48%	30.02%
11	2022-04-29	15.77	Aarau	3	1501	36.76%	@ Neuchatel Xamax	0	1448	33.23%	30.01%
12	2022-04-30	15.72	@ Thun	3	1487	36.90%	Vaduz	0	1514	33.09%	30.00%
13	2022-02-12	15.71	@ Winterthur	4	1494	48.15%	Wil	0	1441	23.65%	28.20%
14	2022-03-19	15.52	Yverdon-Sport	2	1436	19.84%	@ Aarau	0	1533	53.90%	26.27%
15	2022-04-08	15.47	@ Neuchatel Xamax	4	1423	29.28%	Thun	1	1506	41.07%	29.65%
16	2021-11-06	14.93	@ Wil	4	1433	49.96%	Kriens	0	1366	22.37%	27.66%
17	2021-09-25	14.05	@ Yverdon-Sport	2	1403	24.26%	Vaduz	0	1532	47.30%	28.43%
18	2022-02-19	14.04	Aarau	5	1518	58.58%	@ Kriens	0	1302	17.17%	24.25%
19	2021-11-26	13.73	Schaffhausen	5	1495	28.14%	@ Winterthur	2	1506	42.40%	29.46%
20	2021-12-10	13.73	Thun	4	1487	35.22%	@ Neuchatel Xamax	1	1444	34.74%	30.04%
21	2022-03-18	13.50	Thun	2	1489	26.12%	@ Vaduz	0	1519	44.87%	29.01%
22	2021-10-15	13.26	Winterthur	2	1489	26.95%	@ Thun	0	1510	43.83%	29.21%
23	2022-04-01	13.26	Vaduz	4	1505	36.90%	@ Yverdon-Sport	1	1451	33.10%	30.00%
24	2021-08-07	13.16	@ Wil	3	1435	44.69%	Yverdon-Sport	0	1406	26.26%	29.04%
25	2021-08-29	13.14	@ Neuchatel Xamax	3	1476	44.73%	Wil	0	1448	26.24%	29.04%

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	2022-01-30	72.7	@ Wil	4	1453	29.54%	Vaduz	4	1534	40.77%	29.69%
2	2022-03-04	70.5	Schaffhausen	4	1507	24.88%	@ Aarau	3	1548	46.48%	28.64%
3	2022-05-06	68.9	@ Winterthur	2	1550	47.34%	Thun	2	1502	24.23%	28.42%
4	2021-10-30	67.6	@ Schaffhausen	3	1468	45.65%	Wil	3	1433	25.51%	28.84%
5	2021-12-17	66.8	@ Thun	2	1500	39.77%	Schaffhausen	2	1508	30.43%	29.80%
6	2022-04-24	66.4	@ Yverdon-Sport	2	1440	26.14%	Winterthur	2	1551	44.85%	29.01%
7	2021-12-10	66.3	@ Vaduz	2	1530	52.96%	Yverdon-Sport	2	1439	20.42%	26.63%
8	2022-05-14	65.7	@ Vaduz	2	1510	48.26%	Lausanne-Ouchy	2	1455	23.57%	28.17%
9	2022-04-10	65.2	Schaffhausen	3	1522	29.93%	@ Vaduz	2	1518	40.33%	29.74%
10	2022-04-29	64.6	@ Winterthur	1	1550	42.14%	Schaffhausen	1	1541	28.36%	29.50%
11	2021-09-11	64.3	@ Wil	2	1447	33.93%	Thun	2	1495	36.04%	30.03%
12	2022-02-25	64.2	@ Yverdon-Sport	2	1451	35.51%	Thun	2	1488	34.45%	30.04%
13	2021-11-27	64.0	@ Wil	2	1456	37.69%	Aarau	2	1478	32.35%	29.96%
14	2021-12-19	63.1	Vaduz	3	1529	34.55%	@ Winterthur	2	1491	35.42%	30.04%
15	2022-04-01	62.6	Aarau	4	1518	39.70%	@ Wil	3	1444	30.49%	29.81%
16	2022-04-30	62.4	@ Wil	2	1441	40.81%	Yverdon-Sport	2	1441	29.50%	29.68%
17	2021-11-05	62.3	@ Thun	1	1503	37.48%	Vaduz	1	1526	32.55%	29.98%
18	2022-03-04	62.3	@ Yverdon-Sport	2	1443	42.19%	Wil	2	1433	28.32%	29.49%
19	2022-02-25	62.0	@ Schaffhausen	3	1509	39.30%	Winterthur	2	1520	30.86%	29.85%
20	2022-05-21	62.0	Vaduz	2	1509	25.26%	@ Aarau	1	1547	45.98%	28.76%
21	2022-02-19	61.6	@ Wil	3	1425	29.10%	Schaffhausen	2	1510	41.27%	29.62%
22	2022-05-09	60.8	@ Wil	1	1432	25.41%	Winterthur	1	1549	45.78%	28.81%
23	2021-11-20	60.2	Wil	2	1448	21.39%	@ Vaduz	1	1527	51.44%	27.18%
24	2021-08-06	59.9	Aarau	2	1480	25.20%	@ Thun	1	1518	46.06%	28.74%
25	2021-09-25	59.9	@ Thun	3	1494	40.97%	Neuchatel Xamax	2	1493	29.36%	29.66%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2022-05-21	29.7	Winterthur	5	1555	67.61%	@ Kriens	0	1260	12.86%	19.53%
2	2022-01-30	31.5	@ Winterthur	3	1486	61.72%	Kriens	0	1324	15.57%	22.71%
3	2022-02-19	32.6	Aarau	5	1518	58.58%	@ Kriens	0	1302	17.17%	24.25%
4	2022-04-16	32.9	Neuchatel Xamax	5	1438	51.15%	@ Kriens	0	1281	21.57%	27.27%
5	2022-05-06	33.0	@ Schaffhausen	4	1541	73.73%	Kriens	1	1269	10.31%	15.97%
6	2021-11-06	34.1	@ Wil	4	1433	49.96%	Kriens	0	1366	22.37%	27.66%
7	2022-02-05	34.8	Yverdon-Sport	3	1447	47.53%	@ Kriens	0	1317	24.09%	28.37%
8	2021-09-25	35.2	@ Lausanne-Ouchy	5	1483	53.95%	Kriens	0	1385	19.80%	26.25%
9	2021-12-17	35.2	@ Yverdon-Sport	2	1440	55.38%	Kriens	0	1331	18.96%	25.67%
10	2022-04-02	36.6	@ Thun	3	1503	69.05%	Kriens	1	1277	12.24%	18.71%
11	2021-08-07	37.4	@ Wil	3	1435	44.69%	Yverdon-Sport	0	1406	26.26%	29.04%
12	2021-10-23	37.4	@ Winterthur	6	1502	58.13%	Kriens	1	1370	17.41%	24.45%
13	2022-05-10	37.4	Vaduz	1	1507	61.57%	@ Kriens	0	1265	15.65%	22.79%
14	2021-08-03	37.5	@ Thun	3	1508	53.02%	Yverdon-Sport	0	1417	20.37%	26.60%
15	2022-03-01	38.3	@ Wil	3	1428	59.50%	Kriens	1	1285	16.69%	23.81%
16	2022-02-12	38.6	@ Winterthur	4	1494	48.15%	Wil	0	1441	23.65%	28.20%
17	2022-03-05	38.6	Thun	1	1481	56.64%	@ Kriens	0	1280	18.23%	25.13%
18	2021-08-06	38.9	@ Neuchatel Xamax	4	1450	42.04%	Kriens	0	1441	28.44%	29.52%
19	2021-08-29	39.9	@ Neuchatel Xamax	3	1476	44.73%	Wil	0	1448	26.24%	29.04%
20	2021-10-16	40.2	@ Yverdon-Sport	3	1413	36.50%	Wil	0	1443	33.48%	30.02%
21	2022-02-05	40.2	@ Thun	3	1500	47.27%	Wil	0	1453	24.29%	28.44%
22	2021-11-26	40.7	@ Thun	3	1492	59.96%	Kriens	1	1346	16.45%	23.59%
23	2021-09-12	41.7	@ Vaduz	4	1515	55.36%	Kriens	1	1406	18.96%	25.67%
24	2022-02-25	41.8	@ Neuchatel Xamax	2	1434	59.94%	Kriens	1	1288	16.46%	23.60%
25	2022-05-06	41.8	Aarau	4	1517	39.98%	@ Yverdon-Sport	0	1441	30.24%	29.78%