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2015-16 Challenge League Season

180 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

Lausanne-Sport

7.76 points above expected

65 points · 57.24 expected points

Biggest Disappointment

Biel-Bienne

16.79 points below expected

21 points · 37.79 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 Lausanne-Sport 36 19 8 9 65 61 39 +22 57.24 +7.76
2 Neuchatel Xamax 36 15 9 12 54 53 42 +11 54.70 -0.70
3 Wil 36 14 11 11 53 60 49 +11 51.33 +1.67
4 Aarau 36 12 14 10 50 44 39 +5 54.76 -4.76
5 Schaffhausen 36 14 5 17 47 43 45 -2 45.40 +1.60
6 Winterthur 36 12 7 17 43 40 49 -9 52.06 -9.06
7 Chiasso 36 7 16 13 37 39 44 -5 44.80 -7.80
8 Wohlen 36 9 9 18 36 35 52 -17 46.45 -10.45
9 Le Mont 36 7 11 18 32 36 50 -14 40.76 -8.76
10 Biel-Bienne 36 5 6 25 21 28 30 -2 37.79 -16.79

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 Lausanne-Sport 65 57.24 +7.76
2 Wil 53 51.33 +1.67
3 Schaffhausen 47 45.40 +1.60
4 Neuchatel Xamax 54 54.70 -0.70
5 Aarau 50 54.76 -4.76

Biggest Disappointments

# Team Actual Sim vsSim
1 Biel-Bienne 21 37.79 -16.79
2 Wohlen 36 46.45 -10.45
3 Winterthur 43 52.06 -9.06
4 Le Mont 32 40.76 -8.76
5 Chiasso 37 44.80 -7.80

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 Lausanne-Sport 6 Nov 21 – Feb 20 1 in 145
2 Wil 4 Oct 17 – Nov 7 1 in 39
3 Schaffhausen 3 Mar 21 – Apr 9 1 in 28
4 Biel-Bienne 3 Aug 23 – Aug 30 1 in 27
5 Aarau 4 Feb 28 – Mar 20 1 in 26

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Lausanne-Sport 3 May 13 – May 21 1 in 92
2 Neuchatel Xamax 3 Aug 13 – Aug 31 1 in 28
3 Biel-Bienne 3 Nov 8 – Dec 5 1 in 19
4 Winterthur 3 Apr 2 – Apr 10 1 in 18
5 Le Mont 3 Apr 9 – Apr 21 1 in 13

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Biel-Bienne 19 Dec 9 – May 27 1 in 57,952
2 Aarau 15 Nov 29 – Apr 30 1 in 399
3 Lausanne-Sport 17 Nov 21 – May 9 1 in 180
4 Wil 8 Sep 28 – Nov 28 1 in 32
5 Schaffhausen 7 Mar 13 – Apr 24 1 in 26

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Biel-Bienne 22 Nov 8 – May 27 1 in 4,382
2 Chiasso 14 Aug 29 – Feb 13 1 in 343
3 Lausanne-Sport 5 Mar 6 – Apr 10 1 in 36
4 Aarau 7 Oct 4 – Nov 29 1 in 33
5 Le Mont 9 Dec 5 – Apr 2 1 in 27

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 Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Lausanne-Sport 1588 65 -27 6 8.0 -2.0
Neuchatel Xamax 1583 54 +31 11 7.7 +3.3
Wil 1539 53 +9 8 7.4 +0.6
Aarau 1558 50 -11 7 8.1 -1.1
Schaffhausen 1508 47 +23 10 5.7 +4.3
Winterthur 1493 43 -13 4 6.3 -2.3
Chiasso 1465 37 +4 5 5.3 -0.3
Wohlen 1445 36 -21 4 6.2 -2.2
Le Mont 1426 32 -15 4 5.8 -1.8
Biel-Bienne 1461 21 -29 4 6.4 -2.4

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 BIE CHI LAU LM NX SCH WIL WIN WOH
Aarau —
0-2-2
6.50
2-2-0
6.41
0-2-2
5.26
2-2-0
6.64
1-2-1
5.49
2-0-2
6.21
1-3-0
6.02
2-1-1
5.90
2-2-0
6.23
Biel-Bienne
2-2-0
4.45
 —
0-4-0
5.56
0-2-2
4.06
0-4-0
5.62
1-3-0
4.54
1-2-1
5.43
0-3-1
4.79
1-2-1
4.71
0-2-2
5.58
Chiasso
0-2-2
4.54
0-4-0
5.35
 —
1-2-1
4.25
1-3-0
5.66
2-1-1
4.41
1-1-2
5.07
0-3-1
4.82
0-1-3
4.92
2-1-1
5.22
Lausanne-Sport
2-2-0
5.67
2-2-0
6.91
1-2-1
6.72
 —
3-1-0
6.79
0-1-3
5.86
3-0-1
6.45
3-1-0
6.05
1-1-2
6.06
4-0-0
6.32
Le Mont
0-2-2
4.29
0-4-0
5.31
0-3-1
5.25
0-1-3
4.18
 —
1-0-3
4.13
1-0-3
4.91
1-1-2
4.52
2-1-1
4.51
2-1-1
4.74
Neuchatel Xamax
1-2-1
5.43
0-3-1
6.42
1-1-2
6.52
3-1-0
5.07
3-0-1
6.83
 —
1-2-1
6.13
1-0-3
5.84
3-0-1
5.66
2-2-0
6.19
Schaffhausen
2-0-2
4.72
1-2-1
5.49
2-1-1
5.84
1-0-3
4.51
3-0-1
6.02
1-2-1
4.80
 —
1-0-3
5.10
1-1-2
5.08
2-1-1
5.48
Wil
0-3-1
4.90
1-3-0
6.14
1-3-0
6.11
0-1-3
4.88
2-1-1
6.40
3-0-1
5.08
3-0-1
5.82
 —
3-1-0
5.34
1-1-2
5.96
Winterthur
1-1-2
5.02
1-2-1
6.22
3-1-0
5.99
2-1-1
4.90
1-1-2
6.42
1-0-3
5.25
2-1-1
5.85
0-1-3
5.59
 —
1-1-2
5.85
Wohlen
0-2-2
4.70
2-2-0
5.34
1-1-2
5.69
0-0-4
4.63
1-1-2
6.19
0-2-2
4.74
1-1-2
5.44
2-1-1
4.95
2-1-1
5.07
 —

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 0.87 +10.9
Allowed 0.01 +1.8
Differential 0.60 +8.1

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.

↓ Scored | Allowed →012345+Total
07.22%5.56%6.39%3.06%0.56%—22.78%
15.56%12.78%6.94%4.17%1.94%0.28%31.67%
26.39%6.94%5.00%1.94%0.56%—20.83%
33.06%4.17%1.94%1.67%——10.83%
40.56%1.94%0.56%——0.28%3.33%
5+—0.28%——0.28%10.00%10.56%
Total22.78%31.67%20.83%10.83%3.33%10.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.12 1.12 +0.00
SD 1.28 1.28 1.54
CV 1.15 1.15 —
Max 5 5 +4
Min -1 -1 -4

Games Played: 180

↓ Scored | Allowed →012345+Total
011.11%2.78%2.78%2.78%——19.44%
15.56%22.22%5.56%5.56%——38.89%
28.33%11.11%2.78%2.78%——25.00%
32.78%2.78%2.78%2.78%——11.11%
4———————
5+—————5.56%5.56%
Total27.78%38.89%13.89%13.89%—5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.03 +0.14
SD 1.06 1.11 1.27
CV 0.90 1.08 —
Max 3 3 +3
Min -1 -1 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%2.78%8.33%5.56%——22.22%
1—5.56%————5.56%
22.78%—2.78%———5.56%
3—2.78%2.78%2.78%——8.33%
4—2.78%———2.78%5.56%
5+—2.78%———50.00%52.78%
Total8.33%16.67%13.89%8.33%—52.78%100%

Summary Statistics

Scored Allowed Difference
Mean 0.28 0.33 -0.06
SD 1.77 1.62 1.37
CV 6.36 4.86 —
Max 5 5 +4
Min -1 -1 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
013.89%—2.78%———16.67%
12.78%25.00%13.89%8.33%2.78%—52.78%
22.78%8.33%5.56%2.78%——19.44%
35.56%—————5.56%
4———————
5+—————5.56%5.56%
Total25.00%33.33%22.22%11.11%2.78%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.17 -0.14
SD 0.91 1.18 1.27
CV 0.89 1.01 —
Max 3 4 +3
Min -1 -1 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%5.56%2.78%———11.11%
18.33%13.89%2.78%2.78%2.78%—30.56%
28.33%13.89%2.78%2.78%——27.78%
38.33%5.56%2.78%2.78%——19.44%
42.78%—————2.78%
5+————2.78%5.56%8.33%
Total30.56%38.89%11.11%8.33%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.64 1.03 +0.61
SD 1.31 1.23 1.52
CV 0.80 1.20 —
Max 5 4 +4
Min -1 -1 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%11.11%8.33%2.78%——27.78%
15.56%13.89%11.11%5.56%2.78%—38.89%
28.33%2.78%8.33%—2.78%—22.22%
32.78%——2.78%——5.56%
4———————
5+—————5.56%5.56%
Total22.22%27.78%27.78%11.11%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 0.94 1.33 -0.39
SD 0.98 1.26 1.40
CV 1.04 0.95 —
Max 3 4 +3
Min -1 -1 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%—2.78%———11.11%
113.89%8.33%13.89%5.56%2.78%—44.44%
28.33%2.78%8.33%2.78%——22.22%
32.78%2.78%2.78%———8.33%
42.78%—5.56%———8.33%
5+—————5.56%5.56%
Total36.11%13.89%33.33%8.33%2.78%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.11 +0.31
SD 1.23 1.24 1.51
CV 0.87 1.11 —
Max 4 4 +4
Min -1 -1 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%8.33%11.11%5.56%2.78%—30.56%
111.11%8.33%5.56%5.56%——30.56%
211.11%2.78%2.78%2.78%——19.44%
3—5.56%————5.56%
4—8.33%————8.33%
5+—————5.56%5.56%
Total25.00%33.33%19.44%13.89%2.78%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.14 1.19 -0.06
SD 1.31 1.21 1.85
CV 1.15 1.02 —
Max 4 4 +3
Min -1 -1 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%5.56%—2.78%——16.67%
1—13.89%5.56%2.78%2.78%—25.00%
22.78%8.33%2.78%2.78%2.78%—19.44%
35.56%13.89%5.56%5.56%——30.56%
4—2.78%————2.78%
5+—————5.56%5.56%
Total16.67%44.44%13.89%13.89%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.31 +0.31
SD 1.32 1.24 1.55
CV 0.82 0.95 —
Max 4 4 +3
Min -1 -1 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%8.33%11.11%5.56%——33.33%
15.56%2.78%8.33%—2.78%2.78%22.22%
28.33%11.11%8.33%2.78%——30.56%
3—5.56%————5.56%
4—2.78%————2.78%
5+—————5.56%5.56%
Total22.22%30.56%27.78%8.33%2.78%8.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.06 1.31 -0.25
SD 1.17 1.31 1.68
CV 1.11 1.00 —
Max 4 5 +3
Min -1 -1 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%11.11%13.89%5.56%2.78%—38.89%
12.78%13.89%2.78%5.56%2.78%—27.78%
22.78%8.33%5.56%———16.67%
32.78%2.78%2.78%———8.33%
4—2.78%————2.78%
5+—————5.56%5.56%
Total13.89%38.89%25.00%11.11%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 0.92 1.39 -0.47
SD 1.18 1.20 1.68
CV 1.29 0.87 —
Max 4 4 +3
Min -1 -1 -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
Lausanne-Sport 1588 65 57.24 +7.76 87.0% 39 42 52 57 62 70 75
Neuchatel Xamax 1583 54 54.70 -0.70 50.0% 40 42 49 55 60 66 74
Aarau 1558 50 54.76 -4.76 30.0% 39 40 49 54 60 69 73
Wil 1539 53 51.33 +1.67 63.0% 36 40 46 50 57 65 72
Schaffhausen 1508 47 45.40 +1.60 61.0% 25 33 40 45 51 57 62
Winterthur 1493 43 52.06 -9.06 12.0% 27 40 47 53 57 64 72
Chiasso 1465 37 44.80 -7.80 20.0% 31 34 39 45 51 56 62
Biel-Bienne 1461 21 37.79 -16.79 0.0% 20 22 34 38 43 49 53
Wohlen 1445 36 46.45 -10.45 6.0% 27 35 42 47 51 58 65
Le Mont 1426 32 40.76 -8.76 13.0% 23 28 36 41 45 51 59

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
+14.44%
Slight Edge
38.89%36.67%24.44%
Elo Value
Home Edge: 50.54 Elo pts.
309 Elo
0.003 goals per Elo point
0800
Scoring Tilt
Expected
+0.22 goals
Neutral
-2+0.16+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
4.7
Wide Open
123410
Champion Preseason Odds
30%
Lausanne-Sport, 1st of 10
LongshotFavorite
Title Margin
Expected
0.31/gm
Runaway
00.140.5/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 5.97 * Some Luck: 5.97 to 8.96 * Lucky: 8.96 to 11.95 * Wild Swing: 11.95 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 1.49 * Close: 1.49 to 2.23 * Off: 2.23 to 2.98 * Way Off: 2.98 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.
Luck Spread
Expected
8.08 points
Some Luck
07.4719
Average Finish Error
Expected
1.20
Pinpoint
01.864
Biggest Overachiever
Expected 95.00%
87.00%
Lausanne-Sport
50100
Biggest Underachiever
Expected 5.00%
0.00%
Biel-Bienne
050
Season Outliers
Expected
1 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
0.15
Even
00.130.20.5
Noll-Scully
Elo SD: 58.17
1.74
Moderate Separation
0.751.51.82.153
Interquartile Edge
63%
Even
50%63.5%74.5%100%
Best vs. Worst
Baseline
72%
Even
50%75%100%
Close Games
Expected
66%
Very Frequent
0%67%100%
Blowouts
Expected
12%
Rare
0%10%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
0.67
Coin-Flip
00.642
Matchup Imbalance
0.23
Very Even
00.340.420.5
Strangeness
Expected
1.69
Chaotic
01.002
Repeatability
0.49
Some Carryover
00.380.570.71
Upset Rate
Expected
26%
Very Upset-Prone
0%28%50%
Clear Favorite Upset Rate
Expected
19%
Shaky Favorites
0%25%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
0.08
Borderline
0.010.050.10.51
Calibration slope
Ideal
0.88
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.098
Well Within Noise
00.1220.3

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).

Team12345678910
Lausanne-Sport30.00%18.00%21.00%11.00%6.00%4.00%5.00%3.00%2.00%—
Neuchatel Xamax21.00%16.00%16.00%15.00%14.00%10.00%3.00%3.00%2.00%—
Wil11.00%12.00%13.00%15.00%13.00%10.00%14.00%5.00%7.00%—
Aarau24.00%20.00%16.00%11.00%9.00%7.00%6.00%4.00%2.00%1.00%
Schaffhausen3.00%4.00%5.00%9.00%13.00%15.00%14.00%16.00%12.00%9.00%
Winterthur8.00%17.00%12.00%15.00%19.00%8.00%10.00%6.00%3.00%2.00%
Chiasso1.00%5.00%4.00%15.00%11.00%10.00%9.00%14.00%19.00%12.00%
Wohlen1.00%6.00%8.00%6.00%8.00%21.00%14.00%12.00%15.00%9.00%
Le Mont1.00%1.00%4.00%—6.00%9.00%15.00%18.00%17.00%29.00%
Biel-Bienne—1.00%1.00%3.00%1.00%6.00%10.00%19.00%21.00%38.00%

Points Required Per Position

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

Next-Season Status

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

Team Direct promotion Same level Direct relegation
Lausanne-Sport 30.00% 70.00% —
Aarau 24.00% 75.00% 1.00%
Neuchatel Xamax 21.00% 79.00% —
Wil 11.00% 89.00% —
Winterthur 8.00% 90.00% 2.00%
Schaffhausen 3.00% 88.00% 9.00%
Wohlen 1.00% 90.00% 9.00%
Chiasso 1.00% 87.00% 12.00%
Le Mont 1.00% 70.00% 29.00%
Biel-Bienne — 62.00% 38.00%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2015-07-18 Biel-Bienne W 5-461.0 1496 1474 47.00% 26.70% 26.30%+0.24 +4.0 3
2015-07-18 @ Lausanne-Sport L 4-561.0 1474 1496 26.30% 26.70% 47.00%-0.24 -4.0 0
2015-07-18 Wil L 1-261.7 1542 1487 51.23% 25.74% 23.03%+0.34 -7.3 0
2015-07-18 @ Winterthur W 2-161.7 1487 1542 23.03% 25.74% 51.23%-0.34 +7.3 3
2015-07-19 Chiasso D 1-159.8 1460 1465 43.17% 27.29% 29.54%+0.15 -0.4 1
2015-07-19 @ Le Mont D 1-159.8 1465 1460 29.54% 27.29% 43.17%-0.15 +0.4 1
2015-07-19 Neuchatel Xamax W 2-158.1 1519 1548 39.76% 27.60% 32.65%+0.07 +5.2 3
2015-07-19 @ Schaffhausen L 1-258.1 1548 1519 32.65% 27.60% 39.76%-0.07 -5.2 0
2015-07-20 Wohlen D 1-165.5 1555 1520 48.69% 26.35% 24.96%+0.28 -0.8 1
2015-07-20 @ Aarau D 1-165.5 1520 1555 24.96% 26.35% 48.69%-0.28 +0.8 1
2015-07-25 Aarau D 0-059.4 1494 1554 35.40% 27.70% 36.90%-0.03 +0.0 4
2015-07-25 @ Wil D 0-059.4 1554 1494 36.90% 27.70% 35.40%+0.03 -0.0 2
2015-07-25 Le Mont D 2-268.4 1520 1460 51.96% 25.54% 22.50%+0.36 -0.7 2
2015-07-25 @ Wohlen D 2-268.4 1460 1520 22.50% 25.54% 51.96%-0.36 +0.7 2
2015-07-26 Schaffhausen W 3-044.5 1466 1524 35.66% 27.70% 36.64%-0.02 +16.3 4
2015-07-26 @ Chiasso L 0-344.5 1524 1466 36.64% 27.70% 35.66%+0.02 -16.3 3
2015-07-27 Lausanne-Sport W 1-048.4 1543 1500 49.62% 26.14% 24.24%+0.30 +4.3 3
2015-07-27 @ Neuchatel Xamax L 0-148.4 1500 1543 24.24% 26.14% 49.62%-0.30 -4.3 3
2015-08-01 Chiasso L 1-258.5 1496 1482 45.82% 26.91% 27.27%+0.21 -6.7 3
2015-08-01 @ Lausanne-Sport W 2-158.5 1482 1496 27.27% 26.91% 45.82%-0.21 +6.7 7
2015-08-01 Le Mont W 2-041.2 1507 1460 50.21% 26.00% 23.79%+0.32 +8.0 6
2015-08-01 @ Schaffhausen L 0-241.2 1460 1507 23.79% 26.00% 50.21%-0.32 -8.0 2
2015-08-02 Biel-Bienne L 2-367.6 1554 1470 54.96% 24.63% 20.42%+0.44 -7.3 2
2015-08-02 @ Aarau W 3-267.6 1470 1554 20.42% 24.63% 54.96%-0.44 +7.3 3
2015-08-02 Wil L 1-358.2 1547 1494 50.96% 25.81% 23.23%+0.34 -12.5 3
2015-08-02 @ Neuchatel Xamax W 3-158.2 1494 1547 23.23% 25.81% 50.96%-0.34 +12.5 7
2015-08-03 Wohlen D 0-059.9 1535 1520 45.97% 26.88% 27.15%+0.21 -0.7 1
2015-08-03 @ Winterthur D 0-059.9 1520 1535 27.15% 26.88% 45.97%-0.21 +0.7 3
2015-08-08 Aarau D 1-163.7 1489 1547 35.64% 27.70% 36.65%-0.03 +0.0 8
2015-08-08 @ Chiasso D 1-163.7 1547 1489 36.65% 27.70% 35.64%+0.03 -0.0 3
2015-08-08 Wil D 0-057.0 1477 1507 39.69% 27.60% 32.71%+0.07 -0.2 4
2015-08-08 @ Biel-Bienne D 0-057.0 1507 1477 32.71% 27.60% 39.69%-0.07 +0.2 8
2015-08-09 Lausanne-Sport L 1-351.4 1452 1489 38.68% 27.65% 33.67%+0.04 -10.1 2
2015-08-09 @ Le Mont W 3-151.4 1489 1452 33.67% 27.65% 38.68%-0.04 +10.1 6
2015-08-09 Neuchatel Xamax L 0-250.3 1520 1535 41.87% 27.43% 30.70%+0.12 -12.4 3
2015-08-09 @ Wohlen W 2-050.3 1535 1520 30.70% 27.43% 41.87%-0.12 +12.4 6
2015-08-10 Winterthur L 1-260.0 1515 1534 41.29% 27.48% 31.22%+0.10 -6.2 6
2015-08-10 @ Schaffhausen W 2-160.0 1534 1515 31.22% 27.48% 41.29%-0.10 +6.1 4
2015-08-12 Le Mont D 3-369.8 1477 1442 48.54% 26.39% 25.07%+0.28 -0.5 5
2015-08-12 @ Biel-Bienne D 3-369.8 1442 1477 25.07% 26.39% 48.54%-0.28 +0.5 3
2015-08-12 Wohlen L 1-355.5 1507 1508 43.79% 27.21% 29.00%+0.16 -11.1 8
2015-08-12 @ Wil W 3-155.5 1508 1507 29.00% 27.21% 43.79%-0.16 +11.1 6
2015-08-13 Neuchatel Xamax W 2-158.2 1489 1547 35.61% 27.70% 36.69%-0.03 +5.6 11
2015-08-13 @ Chiasso L 1-258.2 1547 1489 36.69% 27.70% 35.61%+0.03 -5.6 6
2015-08-13 Schaffhausen W 1-049.2 1500 1509 42.55% 27.36% 30.10%+0.13 +5.1 9
2015-08-13 @ Lausanne-Sport L 0-149.2 1509 1500 30.10% 27.36% 42.55%-0.13 -5.2 6
2015-08-13 Winterthur L 1-262.3 1547 1540 44.81% 27.07% 28.13%+0.19 -6.6 3
2015-08-13 @ Aarau W 2-162.3 1540 1547 28.13% 27.07% 44.81%-0.19 +6.5 7
2015-08-21 Aarau W 1-051.7 1504 1540 38.81% 27.65% 33.55%+0.05 +5.6 9
2015-08-21 @ Schaffhausen L 0-151.7 1540 1504 33.55% 27.65% 38.81%-0.05 -5.6 3
2015-08-22 Lausanne-Sport L 0-156.3 1547 1505 49.54% 26.16% 24.30%+0.30 -7.5 7
2015-08-22 @ Winterthur W 1-056.3 1505 1547 24.30% 26.16% 49.54%-0.30 +7.5 12
2015-08-23 Biel-Bienne L 1-454.9 1542 1476 52.55% 25.37% 22.08%+0.38 -18.2 6
2015-08-23 @ Neuchatel Xamax W 4-154.9 1476 1542 22.08% 25.37% 52.55%-0.38 +18.2 8
2015-08-23 Chiasso L 0-348.3 1519 1494 47.24% 26.65% 26.11%+0.24 -19.8 6
2015-08-23 @ Wohlen W 3-048.3 1494 1519 26.11% 26.65% 47.24%-0.24 +19.8 14
2015-08-24 Wil W 1-048.5 1443 1496 36.36% 27.70% 35.93%-0.01 +5.9 6
2015-08-24 @ Le Mont L 0-148.5 1496 1443 35.93% 27.70% 36.36%+0.01 -5.9 8
2015-08-26 Winterthur W 5-149.8 1494 1539 37.56% 27.69% 34.75%+0.02 +17.1 11
2015-08-26 @ Biel-Bienne L 1-549.8 1539 1494 34.75% 27.69% 37.56%-0.02 -17.1 7
2015-08-29 Chiasso W 4-148.9 1490 1514 40.54% 27.54% 31.92%+0.09 +12.4 11
2015-08-29 @ Wil L 1-448.9 1514 1490 31.92% 27.54% 40.54%-0.09 -12.4 14
2015-08-29 Wohlen W 2-044.2 1512 1499 45.68% 26.93% 27.39%+0.21 +9.0 15
2015-08-29 @ Lausanne-Sport L 0-244.2 1499 1512 27.39% 26.93% 45.68%-0.21 -9.0 6
2015-08-30 Le Mont D 2-268.2 1522 1449 53.58% 25.07% 21.35%+0.40 -0.8 8
2015-08-30 @ Winterthur D 2-268.2 1449 1522 21.35% 25.07% 53.58%-0.40 +0.8 7
2015-08-30 Schaffhausen W 2-045.1 1511 1510 44.13% 27.17% 28.71%+0.17 +9.3 14
2015-08-30 @ Biel-Bienne L 0-245.1 1510 1511 28.71% 27.17% 44.13%-0.17 -9.3 9
2015-08-31 Neuchatel Xamax W 2-156.1 1535 1523 45.45% 26.97% 27.58%+0.20 +4.5 6
2015-08-31 @ Aarau L 1-256.1 1523 1535 27.58% 26.97% 45.45%-0.20 -4.5 6
2015-09-12 Biel-Bienne D 0-058.5 1502 1521 41.23% 27.49% 31.28%+0.10 -0.3 15
2015-09-12 @ Chiasso D 0-058.5 1521 1502 31.28% 27.49% 41.23%-0.10 +0.3 15
2015-09-12 Winterthur W 1-050.1 1519 1521 43.55% 27.24% 29.21%+0.16 +5.0 9
2015-09-12 @ Neuchatel Xamax L 0-150.1 1521 1519 29.21% 27.24% 43.55%-0.16 -5.0 8
2015-09-13 Aarau D 0-057.3 1449 1539 31.35% 27.49% 41.15%-0.13 +0.3 8
2015-09-13 @ Le Mont D 0-057.3 1539 1449 41.15% 27.49% 31.35%+0.13 -0.3 7
2015-09-13 Schaffhausen W 2-154.4 1490 1500 42.47% 27.37% 30.16%+0.13 +4.9 9
2015-09-13 @ Wohlen L 1-254.4 1500 1490 30.16% 27.37% 42.47%-0.13 -4.9 9
2015-09-14 Lausanne-Sport D 3-373.3 1502 1521 41.29% 27.48% 31.23%+0.10 -0.2 12
2015-09-14 @ Wil D 3-373.3 1521 1502 31.23% 27.48% 41.29%-0.10 +0.2 16
2015-09-23 Aarau D 1-164.7 1521 1539 41.45% 27.47% 31.08%+0.11 -0.3 17
2015-09-23 @ Lausanne-Sport D 1-164.7 1539 1521 31.08% 27.47% 41.45%-0.11 +0.3 8
2015-09-23 Chiasso W 3-150.5 1516 1501 45.94% 26.89% 27.17%+0.21 +7.7 11
2015-09-23 @ Winterthur L 1-350.5 1501 1516 27.17% 26.89% 45.94%-0.21 -7.7 15
2015-09-23 Le Mont W 1-044.6 1524 1450 53.65% 25.04% 21.30%+0.40 +3.8 12
2015-09-23 @ Neuchatel Xamax L 0-144.6 1450 1524 21.30% 25.04% 53.65%-0.40 -3.8 8
2015-09-23 Wil W 4-147.9 1496 1502 42.95% 27.31% 29.74%+0.14 +11.8 12
2015-09-23 @ Schaffhausen L 1-447.9 1502 1496 29.74% 27.31% 42.95%-0.14 -11.8 12
2015-09-24 Biel-Bienne W 2-046.0 1495 1521 40.24% 27.56% 32.20%+0.08 +10.2 12
2015-09-24 @ Wohlen L 0-246.0 1521 1495 32.20% 27.56% 40.24%-0.08 -10.2 15
2015-09-26 Lausanne-Sport L 1-258.4 1494 1521 40.04% 27.58% 32.38%+0.07 -6.0 15
2015-09-26 @ Chiasso W 2-158.4 1521 1494 32.38% 27.58% 40.04%-0.07 +6.0 20
2015-09-26 Schaffhausen W 2-044.8 1539 1507 48.21% 26.46% 25.33%+0.27 +8.4 11
2015-09-26 @ Aarau L 0-244.8 1507 1539 25.33% 26.46% 48.21%-0.27 -8.4 12
2015-09-27 Neuchatel Xamax D 2-270.0 1511 1528 41.56% 27.46% 30.98%+0.11 -0.2 16
2015-09-27 @ Biel-Bienne D 2-270.0 1528 1511 30.98% 27.46% 41.56%-0.11 +0.2 13
2015-09-27 Wohlen W 3-043.1 1446 1505 35.50% 27.70% 36.80%-0.03 +16.4 11
2015-09-27 @ Le Mont L 0-343.1 1505 1446 36.80% 27.70% 35.50%+0.03 -16.4 12
2015-09-28 Winterthur D 0-058.2 1491 1524 39.20% 27.63% 33.18%+0.06 -0.2 13
2015-09-28 @ Wil D 0-058.2 1524 1491 33.18% 27.63% 39.20%-0.06 +0.2 12
2015-10-03 Le Mont D 2-266.9 1488 1462 47.33% 26.64% 26.04%+0.25 -0.5 16
2015-10-03 @ Chiasso D 2-266.9 1462 1488 26.04% 26.64% 47.33%-0.25 +0.5 12
2015-10-03 Winterthur L 0-250.8 1527 1524 44.28% 27.14% 28.58%+0.17 -13.0 20
2015-10-03 @ Lausanne-Sport W 2-050.8 1524 1527 28.58% 27.14% 44.28%-0.17 +13.0 15
2015-10-04 Biel-Bienne W 2-045.2 1499 1511 42.26% 27.39% 30.35%+0.13 +9.8 15
2015-10-04 @ Schaffhausen L 0-245.2 1511 1499 30.35% 27.39% 42.26%-0.13 -9.8 16
2015-10-04 Wil D 1-164.4 1548 1490 51.52% 25.66% 22.82%+0.35 -1.0 12
2015-10-04 @ Aarau D 1-164.4 1490 1548 22.82% 25.66% 51.52%-0.35 +1.0 14
2015-10-05 Wohlen D 1-163.4 1528 1489 49.15% 26.25% 24.59%+0.29 -0.8 14
2015-10-05 @ Neuchatel Xamax D 1-163.4 1489 1528 24.59% 26.25% 49.15%-0.29 +0.8 13
2015-10-17 Lausanne-Sport L 1-258.1 1490 1514 40.47% 27.55% 31.98%+0.08 -6.1 13
2015-10-17 @ Wohlen W 2-158.1 1514 1490 31.98% 27.55% 40.47%-0.08 +6.1 23
2015-10-17 Neuchatel Xamax W 3-261.9 1491 1527 38.86% 27.64% 33.49%+0.05 +5.0 17
2015-10-17 @ Wil L 2-361.9 1527 1491 33.49% 27.64% 38.86%-0.05 -5.0 14
2015-10-18 Aarau D 1-165.5 1537 1547 42.58% 27.36% 30.07%+0.13 -0.4 16
2015-10-18 @ Winterthur D 1-165.5 1547 1537 30.07% 27.36% 42.58%-0.13 +0.4 13
2015-10-18 Schaffhausen W 2-045.2 1463 1509 37.43% 27.69% 34.88%+0.02 +10.9 15
2015-10-18 @ Le Mont L 0-245.2 1509 1463 34.88% 27.69% 37.43%-0.02 -10.8 15
2015-10-19 Chiasso D 1-162.2 1501 1487 45.78% 26.91% 27.30%+0.21 -0.6 17
2015-10-19 @ Biel-Bienne D 1-162.2 1487 1501 27.30% 26.91% 45.78%-0.21 +0.6 17
2015-10-24 Biel-Bienne W 2-044.4 1496 1500 43.34% 27.27% 29.40%+0.15 +9.5 20
2015-10-24 @ Wil L 0-244.4 1500 1496 29.40% 27.27% 43.34%-0.15 -9.5 17
2015-10-24 Schaffhausen W 1-048.3 1522 1498 47.20% 26.66% 26.14%+0.24 +4.6 17
2015-10-24 @ Neuchatel Xamax L 0-148.3 1498 1522 26.14% 26.66% 47.20%-0.24 -4.6 15
2015-10-25 Winterthur W 1-051.6 1474 1537 34.95% 27.69% 37.35%-0.04 +6.1 18
2015-10-25 @ Le Mont L 0-151.6 1537 1474 37.35% 27.69% 34.95%+0.04 -6.0 16
2015-10-25 Wohlen D 1-161.5 1488 1484 44.45% 27.12% 28.43%+0.18 -0.5 18
2015-10-25 @ Chiasso D 1-161.5 1484 1488 28.43% 27.12% 44.45%-0.18 +0.5 14
2015-10-26 Lausanne-Sport L 0-350.3 1547 1520 47.55% 26.59% 25.86%+0.25 -19.9 13
2015-10-26 @ Aarau W 3-050.3 1520 1547 25.86% 26.59% 47.55%-0.25 +19.9 26
2015-10-31 Wil L 1-353.7 1484 1506 40.86% 27.52% 31.62%+0.09 -10.6 14
2015-10-31 @ Wohlen W 3-153.7 1506 1484 31.62% 27.52% 40.86%-0.09 +10.6 23
2015-11-01 Aarau W 3-152.6 1491 1527 38.78% 27.65% 33.57%+0.05 +9.1 20
2015-11-01 @ Biel-Bienne L 1-352.6 1527 1491 33.57% 27.65% 38.78%-0.05 -9.1 13
2015-11-01 Le Mont D 1-163.8 1540 1480 51.91% 25.55% 22.53%+0.36 -1.0 27
2015-11-01 @ Lausanne-Sport D 1-163.8 1480 1540 22.53% 25.55% 51.91%-0.36 +1.0 19
2015-11-01 Neuchatel Xamax W 2-046.3 1531 1527 44.45% 27.12% 28.43%+0.18 +9.3 19
2015-11-01 @ Winterthur L 0-246.3 1527 1531 28.43% 27.12% 44.45%-0.18 -9.3 17
2015-11-02 Chiasso W 2-043.4 1493 1487 44.72% 27.08% 28.20%+0.18 +9.2 18
2015-11-02 @ Schaffhausen L 0-243.4 1487 1493 28.20% 27.08% 44.72%-0.18 -9.2 18
2015-11-07 Chiasso D 1-162.7 1518 1478 49.29% 26.22% 24.49%+0.29 -0.8 14
2015-11-07 @ Aarau D 1-162.7 1478 1518 24.49% 26.22% 49.29%-0.29 +0.8 19
2015-11-07 Le Mont W 3-148.9 1516 1481 48.71% 26.35% 24.94%+0.28 +7.2 26
2015-11-07 @ Wil L 1-348.9 1481 1516 24.94% 26.35% 48.71%-0.28 -7.2 19
2015-11-08 Schaffhausen L 0-251.7 1540 1502 48.96% 26.29% 24.74%+0.29 -14.0 19
2015-11-08 @ Winterthur W 2-051.7 1502 1540 24.74% 26.29% 48.96%-0.29 +14.0 21
2015-11-08 Wohlen L 0-346.8 1500 1474 47.47% 26.61% 25.92%+0.25 -19.9 20
2015-11-08 @ Biel-Bienne W 3-046.8 1474 1500 25.92% 26.61% 47.47%-0.25 +19.9 17
2015-11-09 Neuchatel Xamax L 2-367.0 1539 1517 46.84% 26.73% 26.43%+0.23 -6.4 27
2015-11-09 @ Lausanne-Sport W 3-267.0 1517 1539 26.43% 26.73% 46.84%-0.23 +6.4 20
2015-11-21 Aarau W 2-045.6 1524 1517 44.80% 27.07% 28.13%+0.19 +9.2 23
2015-11-21 @ Neuchatel Xamax L 0-245.6 1517 1524 28.13% 27.07% 44.80%-0.19 -9.2 14
2015-11-21 Lausanne-Sport L 0-448.4 1516 1533 41.63% 27.45% 30.92%+0.11 -23.5 21
2015-11-21 @ Schaffhausen W 4-048.4 1533 1516 30.92% 27.45% 41.63%-0.11 +23.5 30
2015-11-22 Wil D 2-268.6 1479 1524 37.58% 27.69% 34.73%+0.02 -0.1 20
2015-11-22 @ Chiasso D 2-268.6 1524 1479 34.73% 27.69% 37.58%-0.02 +0.1 27
2015-11-23 Winterthur W 3-261.8 1493 1526 39.32% 27.62% 33.06%+0.06 +4.9 20
2015-11-23 @ Wohlen L 2-361.8 1526 1493 33.06% 27.62% 39.32%-0.06 -5.0 19
2015-11-28 Schaffhausen W 3-259.0 1524 1493 48.04% 26.49% 25.47%+0.26 +4.0 30
2015-11-28 @ Wil L 2-359.0 1493 1524 25.47% 26.49% 48.04%-0.26 -4.0 21
2015-11-28 Winterthur L 1-353.3 1479 1521 37.93% 27.68% 34.40%+0.03 -10.0 20
2015-11-28 @ Chiasso W 3-153.3 1521 1479 34.40% 27.68% 37.93%-0.03 +10.0 22
2015-11-29 Aarau D 0-058.0 1498 1508 42.55% 27.36% 30.09%+0.13 -0.4 21
2015-11-29 @ Wohlen D 0-058.0 1508 1498 30.09% 27.36% 42.55%-0.13 +0.4 15
2015-11-29 Neuchatel Xamax W 2-157.1 1473 1533 35.46% 27.70% 36.84%-0.03 +5.6 22
2015-11-29 @ Le Mont L 1-257.1 1533 1473 36.84% 27.70% 35.46%+0.03 -5.6 23
2015-11-30 Lausanne-Sport L 0-345.2 1480 1556 33.17% 27.63% 39.21%-0.08 -15.2 20
2015-11-30 @ Biel-Bienne W 3-045.2 1556 1480 39.21% 27.63% 33.17%+0.08 +15.2 33
2015-12-05 Biel-Bienne W 1-045.7 1531 1465 52.65% 25.34% 22.00%+0.38 +3.9 25
2015-12-05 @ Winterthur L 0-145.7 1465 1531 22.00% 25.34% 52.65%-0.38 -3.9 20
2015-12-05 Le Mont W 2-152.7 1508 1479 47.87% 26.53% 25.60%+0.26 +4.2 18
2015-12-05 @ Aarau L 1-252.7 1479 1508 25.60% 26.53% 47.87%-0.26 -4.2 22
2015-12-06 Wil W 3-044.2 1571 1528 49.76% 26.11% 24.13%+0.31 +11.7 36
2015-12-06 @ Lausanne-Sport L 0-344.2 1528 1571 24.13% 26.11% 49.76%-0.31 -11.7 30
2015-12-06 Wohlen D 1-162.0 1489 1498 42.65% 27.35% 30.00%+0.13 -0.4 22
2015-12-06 @ Schaffhausen D 1-162.0 1498 1489 30.00% 27.35% 42.65%-0.13 +0.4 22
2015-12-07 Chiasso D 0-058.1 1527 1469 51.70% 25.61% 22.69%+0.35 -1.1 24
2015-12-07 @ Neuchatel Xamax D 0-058.1 1469 1527 22.69% 25.61% 51.70%-0.35 +1.1 21
2015-12-09 Biel-Bienne D 1-160.2 1475 1461 45.80% 26.91% 27.29%+0.21 -0.6 23
2015-12-09 @ Le Mont D 1-160.2 1461 1475 27.29% 26.91% 45.80%-0.21 +0.6 21
2016-02-06 Biel-Bienne FL55.1 1513 1461 50.74% 25.87% 23.40%+0.33 +0.0 18
2016-02-06 @ Aarau FL55.1 1461 1513 23.40% 25.87% 50.74%-0.33 +0.0 21
2016-02-06 Chiasso W 2-152.0 1526 1470 51.42% 25.69% 22.89%+0.35 +3.9 27
2016-02-06 @ Neuchatel Xamax L 1-252.0 1470 1526 22.89% 25.69% 51.42%-0.35 -3.8 21
2016-02-07 Le Mont W 2-152.3 1583 1474 57.88% 23.59% 18.53%+0.52 +3.1 39
2016-02-07 @ Lausanne-Sport L 1-252.3 1474 1583 18.53% 23.59% 57.88%-0.52 -3.1 23
2016-02-07 Wohlen L 1-454.7 1535 1498 48.83% 26.32% 24.84%+0.28 -17.2 25
2016-02-07 @ Winterthur W 4-154.7 1498 1535 24.84% 26.32% 48.83%-0.28 +17.2 25
2016-02-08 Schaffhausen W 3-041.5 1516 1489 47.60% 26.58% 25.82%+0.25 +12.4 33
2016-02-08 @ Wil L 0-341.5 1489 1516 25.82% 26.58% 47.60%-0.25 -12.4 22
2016-02-13 Aarau L 1-256.2 1466 1513 37.29% 27.69% 35.01%+0.01 -5.7 21
2016-02-13 @ Chiasso W 2-156.2 1513 1466 35.01% 27.69% 37.29%-0.01 +5.7 21
2016-02-13 Le Mont W 3-040.1 1528 1471 51.50% 25.67% 22.83%+0.35 +11.1 36
2016-02-13 @ Wil L 0-340.1 1471 1528 22.83% 25.67% 51.50%-0.35 -11.1 23
2016-02-14 Lausanne-Sport L 1-355.7 1515 1586 33.91% 27.66% 38.43%-0.07 -9.2 25
2016-02-14 @ Wohlen W 3-155.7 1586 1515 38.43% 27.66% 33.91%+0.07 +9.2 42
2016-02-14 Neuchatel Xamax D 0-057.9 1476 1530 36.26% 27.70% 36.04%-0.01 -0.0 23
2016-02-14 @ Schaffhausen D 0-057.9 1530 1476 36.04% 27.70% 36.26%+0.01 +0.0 28
2016-02-15 Winterthur FL54.8 1461 1518 35.93% 27.70% 36.37%-0.02 +0.0 21
2016-02-15 @ Biel-Bienne FL54.8 1518 1461 36.37% 27.70% 35.93%+0.02 +0.0 25
2016-02-20 Schaffhausen W 1-046.6 1518 1476 49.50% 26.17% 24.33%+0.30 +4.3 28
2016-02-20 @ Winterthur L 0-146.6 1476 1518 24.33% 26.17% 49.50%-0.30 -4.3 23
2016-02-20 Wil W 2-156.8 1595 1539 51.34% 25.71% 22.95%+0.35 +3.9 45
2016-02-20 @ Lausanne-Sport L 1-256.8 1539 1595 22.95% 25.71% 51.34%-0.35 -3.9 36
2016-02-21 Biel-Bienne FL52.8 1460 1461 43.69% 27.22% 29.09%+0.16 +0.0 23
2016-02-21 @ Le Mont FL52.8 1461 1460 29.09% 27.22% 43.69%-0.16 +0.0 21
2016-02-21 Wohlen W 1-049.2 1460 1506 37.40% 27.69% 34.91%+0.01 +5.8 24
2016-02-21 @ Chiasso L 0-149.2 1506 1460 34.91% 27.69% 37.40%-0.01 -5.8 25
2016-02-22 Aarau D 0-059.6 1530 1518 45.50% 26.96% 27.54%+0.20 -0.6 29
2016-02-22 @ Neuchatel Xamax D 0-059.6 1518 1530 27.54% 26.96% 45.50%-0.20 +0.6 22
2016-02-27 Chiasso FL53.0 1461 1466 43.27% 27.28% 29.45%+0.15 +0.0 21
2016-02-27 @ Biel-Bienne FL53.0 1466 1461 29.45% 27.28% 43.27%-0.15 +0.0 24
2016-02-27 Wohlen D 1-164.1 1536 1500 48.63% 26.37% 25.00%+0.28 -0.8 37
2016-02-27 @ Wil D 1-164.1 1500 1536 25.00% 26.37% 48.63%-0.28 +0.8 26
2016-02-28 Le Mont W 1-045.4 1519 1460 51.74% 25.60% 22.66%+0.36 +4.0 25
2016-02-28 @ Aarau L 0-145.4 1460 1519 22.66% 25.60% 51.74%-0.36 -4.0 23
2016-02-28 Winterthur W 2-045.9 1530 1522 44.91% 27.05% 28.04%+0.19 +9.2 32
2016-02-28 @ Neuchatel Xamax L 0-245.9 1522 1530 28.04% 27.05% 44.91%-0.19 -9.2 28
2016-03-05 Biel-Bienne FL54.6 1501 1461 49.25% 26.23% 24.52%+0.29 +0.0 26
2016-03-05 @ Wohlen FL54.6 1461 1501 24.52% 26.23% 49.25%-0.29 +0.0 21
2016-03-06 Aarau L 1-352.7 1472 1523 36.65% 27.70% 35.65%+0.00 -9.8 23
2016-03-06 @ Schaffhausen W 3-152.7 1523 1472 35.65% 27.70% 36.65%+0.00 +9.7 28
2016-03-06 Neuchatel Xamax D 1-167.8 1599 1539 51.93% 25.55% 22.52%+0.36 -1.0 46
2016-03-06 @ Lausanne-Sport D 1-167.8 1539 1599 22.52% 25.55% 51.93%-0.36 +1.0 33
2016-03-07 Wil D 1-162.4 1466 1535 34.16% 27.67% 38.17%-0.06 +0.1 25
2016-03-07 @ Chiasso D 1-162.4 1535 1466 38.17% 27.67% 34.16%+0.06 -0.1 38
2016-03-12 Neuchatel Xamax W 3-153.4 1535 1540 43.21% 27.28% 29.51%+0.15 +8.3 41
2016-03-12 @ Wil L 1-353.4 1540 1535 29.51% 27.28% 43.21%-0.15 -8.3 33
2016-03-12 Wohlen W 2-044.3 1533 1501 48.16% 26.47% 25.37%+0.27 +8.4 31
2016-03-12 @ Aarau L 0-244.3 1501 1533 25.37% 26.47% 48.16%-0.27 -8.4 26
2016-03-13 Schaffhausen FL52.9 1461 1462 43.81% 27.21% 28.98%+0.16 +0.0 21
2016-03-13 @ Biel-Bienne FL52.9 1462 1461 28.98% 27.21% 43.81%-0.16 +0.0 23
2016-03-13 Chiasso D 0-054.9 1456 1466 42.49% 27.37% 30.15%+0.13 -0.4 24
2016-03-13 @ Le Mont D 0-054.9 1466 1456 30.15% 27.37% 42.49%-0.13 +0.4 26
2016-03-14 Lausanne-Sport D 2-272.5 1513 1598 31.95% 27.55% 40.50%-0.11 +0.2 29
2016-03-14 @ Winterthur D 2-272.5 1598 1513 40.50% 27.55% 31.95%+0.11 -0.2 47
2016-03-19 Biel-Bienne FL59.4 1598 1461 61.12% 22.28% 16.60%+0.61 +0.0 47
2016-03-19 @ Lausanne-Sport FL59.4 1461 1598 16.60% 22.28% 61.12%-0.61 +0.0 21
2016-03-19 Winterthur L 1-256.3 1467 1513 37.32% 27.69% 34.99%+0.01 -5.7 26
2016-03-19 @ Chiasso W 2-156.3 1513 1467 34.99% 27.69% 37.32%-0.01 +5.7 32
2016-03-20 Le Mont W 1-045.0 1531 1456 53.87% 24.98% 21.16%+0.41 +3.8 36
2016-03-20 @ Neuchatel Xamax L 0-145.0 1456 1531 21.16% 24.98% 53.87%-0.41 -3.8 24
2016-03-20 Wil W 2-157.5 1541 1543 43.65% 27.23% 29.12%+0.16 +4.7 34
2016-03-20 @ Aarau L 1-257.5 1543 1541 29.12% 27.23% 43.65%-0.16 -4.7 41
2016-03-21 Schaffhausen L 0-152.4 1493 1462 48.06% 26.49% 25.45%+0.26 -7.3 26
2016-03-21 @ Wohlen W 1-052.4 1462 1493 25.45% 26.49% 48.06%-0.26 +7.3 26
2016-04-02 Le Mont W 2-150.7 1486 1452 48.45% 26.41% 25.14%+0.27 +4.2 29
2016-04-02 @ Wohlen L 1-250.7 1452 1486 25.14% 26.41% 48.45%-0.27 -4.2 24
2016-04-02 Wil L 1-260.3 1519 1538 41.19% 27.49% 31.32%+0.10 -6.1 32
2016-04-02 @ Winterthur W 2-160.3 1538 1519 31.32% 27.49% 41.19%-0.10 +6.1 44
2016-04-03 Neuchatel Xamax FL55.4 1461 1535 33.50% 27.64% 38.86%-0.08 +0.0 21
2016-04-03 @ Biel-Bienne FL55.4 1535 1461 38.86% 27.64% 33.50%+0.08 +0.0 36
2016-04-03 Chiasso W 3-147.5 1469 1461 45.07% 27.03% 27.90%+0.19 +7.9 29
2016-04-03 @ Schaffhausen L 1-347.5 1461 1469 27.90% 27.03% 45.07%-0.19 -7.9 26
2016-04-04 Aarau D 1-167.9 1598 1546 50.84% 25.84% 23.32%+0.33 -0.9 48
2016-04-04 @ Lausanne-Sport D 1-167.9 1546 1598 23.32% 25.84% 50.84%-0.33 +0.9 35
2016-04-06 Winterthur W 2-045.6 1448 1513 34.68% 27.69% 37.64%-0.05 +11.5 27
2016-04-06 @ Le Mont L 0-245.6 1513 1448 37.64% 27.69% 34.68%+0.05 -11.5 32
2016-04-09 Schaffhausen L 0-150.0 1459 1477 41.35% 27.48% 31.17%+0.10 -6.5 27
2016-04-09 @ Le Mont W 1-050.0 1477 1459 31.17% 27.48% 41.35%-0.10 +6.5 32
2016-04-09 Wohlen W 4-041.8 1535 1490 49.99% 26.05% 23.96%+0.31 +15.2 39
2016-04-09 @ Neuchatel Xamax L 0-441.8 1490 1535 23.96% 26.05% 49.99%-0.31 -15.2 29
2016-04-10 Lausanne-Sport D 1-164.6 1453 1597 25.05% 26.38% 48.57%-0.30 +0.8 27
2016-04-10 @ Chiasso D 1-164.6 1597 1453 48.57% 26.38% 25.05%+0.30 -0.8 49
2016-04-10 Winterthur W 3-042.4 1547 1501 50.01% 26.05% 23.94%+0.31 +11.6 38
2016-04-10 @ Aarau L 0-342.4 1501 1547 23.94% 26.05% 50.01%-0.31 -11.6 32
2016-04-11 Biel-Bienne FL56.7 1544 1461 54.74% 24.70% 20.56%+0.43 +0.0 44
2016-04-11 @ Wil FL56.7 1461 1544 20.56% 24.70% 54.74%-0.43 +0.0 21
2016-04-16 Neuchatel Xamax W 2-158.5 1454 1550 30.49% 27.41% 42.10%-0.15 +6.2 30
2016-04-16 @ Chiasso L 1-258.5 1550 1454 42.10% 27.41% 30.49%+0.15 -6.2 39
2016-04-16 Wil W 1-052.2 1474 1544 34.02% 27.67% 38.32%-0.06 +6.2 32
2016-04-16 @ Wohlen L 0-152.2 1544 1474 38.32% 27.67% 34.02%+0.06 -6.2 44
2016-04-17 Aarau FL56.4 1461 1559 30.45% 27.40% 42.15%-0.15 +0.0 21
2016-04-17 @ Biel-Bienne FL56.4 1559 1461 42.15% 27.40% 30.45%+0.15 +0.0 38
2016-04-17 Lausanne-Sport L 0-244.8 1452 1596 25.09% 26.39% 48.52%-0.30 -8.3 27
2016-04-17 @ Le Mont W 2-044.8 1596 1452 48.52% 26.39% 25.09%+0.30 +8.3 52
2016-04-18 Winterthur D 2-267.6 1484 1490 43.09% 27.30% 29.61%+0.15 -0.3 33
2016-04-18 @ Schaffhausen D 2-267.6 1490 1484 29.61% 27.30% 43.09%-0.15 +0.3 33
2016-04-20 Chiasso D 1-163.1 1538 1460 54.17% 24.88% 20.95%+0.42 -1.1 45
2016-04-20 @ Wil D 1-163.1 1460 1538 20.95% 24.88% 54.17%-0.42 +1.1 31
2016-04-20 Neuchatel Xamax D 2-272.4 1559 1544 45.86% 26.90% 27.24%+0.21 -0.5 39
2016-04-20 @ Aarau D 2-272.4 1544 1559 27.24% 26.90% 45.86%-0.21 +0.4 40
2016-04-21 Biel-Bienne FL53.8 1484 1461 46.89% 26.72% 26.39%+0.24 +0.0 33
2016-04-21 @ Schaffhausen FL53.8 1461 1484 26.39% 26.72% 46.89%-0.24 +0.0 21
2016-04-21 Le Mont W 2-150.1 1490 1444 50.03% 26.04% 23.93%+0.31 +4.0 36
2016-04-21 @ Winterthur L 1-250.1 1444 1490 23.93% 26.04% 50.03%-0.31 -4.0 27
2016-04-21 Wohlen W 1-046.9 1605 1481 59.68% 22.88% 17.44%+0.57 +3.1 55
2016-04-21 @ Lausanne-Sport L 0-146.9 1481 1605 17.44% 22.88% 59.68%-0.57 -3.1 32
2016-04-24 Lausanne-Sport FL58.5 1461 1608 24.83% 26.32% 48.85%-0.31 +0.0 21
2016-04-24 @ Biel-Bienne FL58.5 1608 1461 48.85% 26.32% 24.83%+0.31 +0.0 55
2016-04-24 Aarau D 1-162.5 1440 1558 27.93% 27.03% 45.04%-0.22 +0.5 28
2016-04-24 @ Le Mont D 1-162.5 1558 1440 45.04% 27.03% 27.93%+0.22 -0.5 40
2016-04-24 Schaffhausen D 1-160.4 1461 1484 40.76% 27.53% 31.72%+0.09 -0.3 32
2016-04-24 @ Chiasso D 1-160.4 1484 1461 31.72% 27.53% 40.76%-0.09 +0.3 34
2016-04-24 Winterthur L 0-247.2 1478 1494 41.61% 27.45% 30.93%+0.11 -12.4 32
2016-04-24 @ Wohlen W 2-047.2 1494 1478 30.93% 27.45% 41.61%-0.11 +12.4 39
2016-04-25 Wil W 4-257.0 1545 1537 44.91% 27.05% 28.03%+0.19 +7.1 43
2016-04-25 @ Neuchatel Xamax L 2-457.0 1537 1545 28.03% 27.05% 44.91%-0.19 -7.1 45
2016-04-28 Lausanne-Sport L 0-247.1 1484 1608 27.23% 26.90% 45.87%-0.24 -9.0 34
2016-04-28 @ Schaffhausen W 2-047.1 1608 1484 45.87% 26.90% 27.23%+0.24 +9.0 58
2016-04-30 Aarau L 0-249.2 1506 1558 36.66% 27.70% 35.64%+0.00 -11.3 39
2016-04-30 @ Winterthur W 2-049.2 1558 1506 35.64% 27.70% 36.66%+0.00 +11.3 43
2016-04-30 Neuchatel Xamax D 2-269.2 1465 1552 31.80% 27.53% 40.67%-0.12 +0.2 33
2016-04-30 @ Wohlen D 2-269.2 1552 1465 40.67% 27.53% 31.80%+0.12 -0.2 44
2016-05-01 Wil FL55.2 1461 1530 34.21% 27.67% 38.12%-0.06 +0.0 21
2016-05-01 @ Biel-Bienne FL55.2 1530 1461 38.12% 27.67% 34.21%+0.06 +0.0 45
2016-05-01 Chiasso D 0-062.4 1617 1461 63.32% 21.31% 15.38%+0.67 -1.8 59
2016-05-01 @ Lausanne-Sport D 0-062.4 1461 1617 15.38% 21.31% 63.32%-0.67 +1.8 33
2016-05-02 Le Mont W 4-143.3 1475 1441 48.50% 26.39% 25.10%+0.27 +10.2 37
2016-05-02 @ Schaffhausen L 1-443.3 1441 1475 25.10% 26.39% 48.50%-0.27 -10.2 28
2016-05-07 Biel-Bienne FL52.9 1463 1461 44.04% 27.18% 28.78%+0.17 +0.0 33
2016-05-07 @ Chiasso FL52.9 1461 1463 28.78% 27.18% 44.04%-0.17 +0.0 21
2016-05-07 Winterthur W 2-153.9 1530 1495 48.61% 26.37% 25.02%+0.28 +4.2 48
2016-05-07 @ Wil L 1-253.9 1495 1530 25.02% 26.37% 48.61%-0.28 -4.2 39
2016-05-08 Schaffhausen D 1-164.4 1551 1485 52.68% 25.34% 21.99%+0.38 -1.0 45
2016-05-08 @ Neuchatel Xamax D 1-164.4 1485 1551 21.99% 25.34% 52.68%-0.38 +1.0 38
2016-05-08 Wohlen W 2-042.1 1430 1465 39.00% 27.64% 33.37%+0.05 +10.5 31
2016-05-08 @ Le Mont L 0-242.1 1465 1430 33.37% 27.64% 39.00%-0.05 -10.5 33
2016-05-09 Lausanne-Sport L 1-263.0 1569 1615 37.39% 27.69% 34.92%+0.01 -5.7 43
2016-05-09 @ Aarau W 2-163.0 1615 1569 34.92% 27.69% 37.39%-0.01 +5.7 62
2016-05-13 Le Mont FL52.3 1461 1441 46.68% 26.76% 26.56%+0.23 +0.0 21
2016-05-13 @ Biel-Bienne FL52.3 1441 1461 26.56% 26.76% 46.68%-0.23 +0.0 31
2016-05-13 Aarau D 3-375.9 1534 1563 39.85% 27.59% 32.56%+0.07 -0.1 49
2016-05-13 @ Wil D 3-375.9 1563 1534 32.56% 27.59% 39.85%-0.07 +0.1 44
2016-05-13 Chiasso W 2-151.7 1455 1463 42.82% 27.33% 29.85%+0.14 +4.8 36
2016-05-13 @ Wohlen L 1-251.7 1463 1455 29.85% 27.33% 42.82%-0.14 -4.8 33
2016-05-13 Schaffhausen L 0-160.5 1621 1486 60.89% 22.38% 16.73%+0.60 -8.9 62
2016-05-13 @ Lausanne-Sport W 1-060.5 1486 1621 16.73% 22.38% 60.89%-0.60 +8.9 41
2016-05-16 Biel-Bienne FL54.1 1491 1461 47.87% 26.53% 25.60%+0.26 +0.0 39
2016-05-16 @ Winterthur FL54.1 1461 1491 25.60% 26.53% 47.87%-0.26 +0.0 21
2016-05-16 Chiasso W 3-256.4 1563 1458 57.48% 23.74% 18.78%+0.51 +3.0 47
2016-05-16 @ Aarau L 2-356.4 1458 1563 18.78% 23.74% 57.48%-0.51 -3.0 33
2016-05-16 Wil D 1-161.5 1441 1534 30.95% 27.46% 41.59%-0.14 +0.3 32
2016-05-16 @ Le Mont D 1-161.5 1534 1441 41.59% 27.46% 30.95%+0.14 -0.3 50
2016-05-16 Wohlen W 4-144.6 1495 1460 48.65% 26.36% 24.99%+0.28 +10.2 44
2016-05-16 @ Schaffhausen L 1-444.6 1460 1495 24.99% 26.36% 48.65%-0.28 -10.2 36
2016-05-17 Lausanne-Sport W 3-158.5 1550 1612 35.21% 27.70% 37.09%-0.04 +9.8 48
2016-05-17 @ Neuchatel Xamax L 1-358.5 1612 1550 37.09% 27.70% 35.21%+0.04 -9.8 62
2016-05-21 Biel-Bienne FL57.5 1560 1461 56.68% 24.03% 19.29%+0.48 +0.0 48
2016-05-21 @ Neuchatel Xamax FL57.5 1461 1560 19.29% 24.03% 56.68%-0.48 +0.0 21
2016-05-21 Aarau L 0-148.8 1450 1566 28.07% 27.06% 44.87%-0.21 -4.9 36
2016-05-21 @ Wohlen W 1-048.8 1566 1450 44.87% 27.06% 28.07%+0.21 +4.9 50
2016-05-21 Le Mont W 2-040.1 1455 1441 45.73% 26.92% 27.35%+0.21 +9.0 36
2016-05-21 @ Chiasso L 0-240.1 1441 1455 27.35% 26.92% 45.73%-0.21 -9.0 32
2016-05-21 Wil L 1-355.3 1505 1534 39.89% 27.59% 32.52%+0.07 -10.4 44
2016-05-21 @ Schaffhausen W 3-155.3 1534 1505 32.52% 27.59% 39.89%-0.07 +10.4 53
2016-05-21 Winterthur L 1-458.7 1602 1491 58.15% 23.49% 18.36%+0.52 -19.7 62
2016-05-21 @ Lausanne-Sport W 4-158.7 1491 1602 18.36% 23.49% 58.15%-0.52 +19.7 42
2016-05-24 Neuchatel Xamax L 0-347.6 1511 1560 36.88% 27.70% 35.42%+0.00 -16.4 42
2016-05-24 @ Winterthur W 3-047.6 1560 1511 35.42% 27.70% 36.88%+0.00 +16.4 51
2016-05-27 Wohlen FL52.4 1461 1445 46.19% 26.85% 26.97%+0.22 +0.0 21
2016-05-27 @ Biel-Bienne FL52.4 1445 1461 26.97% 26.85% 46.19%-0.22 +0.0 36
2016-05-27 Chiasso D 0-056.4 1494 1464 48.01% 26.50% 25.49%+0.26 -0.8 43
2016-05-27 @ Winterthur D 0-056.4 1464 1494 25.49% 26.50% 48.01%-0.26 +0.8 37
2016-05-27 Lausanne-Sport L 2-367.1 1544 1582 38.53% 27.66% 33.81%+0.04 -5.5 53
2016-05-27 @ Wil W 3-267.1 1582 1544 33.81% 27.66% 38.53%-0.04 +5.5 65
2016-05-27 Neuchatel Xamax L 2-453.3 1432 1577 25.04% 26.38% 48.59%-0.30 -6.5 32
2016-05-27 @ Le Mont W 4-253.3 1577 1432 48.59% 26.38% 25.04%+0.30 +6.5 54
2016-05-27 Schaffhausen L 1-359.7 1571 1495 53.93% 24.96% 21.11%+0.41 -13.1 50
2016-05-27 @ Aarau W 3-159.7 1495 1571 21.11% 24.96% 53.93%-0.41 +13.1 47

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
Team Elo Score Team Elo Score
1 2016-05-13 16.73% Schaffhausen 1486 1 @ Lausanne-Sport 1621 0
2 2016-05-21 18.36% Winterthur 1491 4 @ Lausanne-Sport 1602 1
3 2015-08-02 20.42% Biel-Bienne 1470 3 @ Aarau 1554 2
4 2016-05-27 21.11% Schaffhausen 1495 3 @ Aarau 1571 1
5 2015-08-23 22.08% Biel-Bienne 1476 4 @ Neuchatel Xamax 1542 1
6 2015-07-18 23.03% Wil 1487 2 @ Winterthur 1542 1
7 2015-08-02 23.23% Wil 1494 3 @ Neuchatel Xamax 1547 1
8 2015-08-22 24.30% Lausanne-Sport 1505 1 @ Winterthur 1547 0
9 2015-11-08 24.74% Schaffhausen 1502 2 @ Winterthur 1540 0
10 2016-02-07 24.84% Wohlen 1498 4 @ Winterthur 1535 1
11 2016-03-21 25.45% Schaffhausen 1462 1 @ Wohlen 1493 0
12 2015-10-26 25.86% Lausanne-Sport 1520 3 @ Aarau 1547 0
13 2015-11-08 25.92% Wohlen 1474 3 @ Biel-Bienne 1500 0
14 2015-08-23 26.11% Chiasso 1494 3 @ Wohlen 1519 0
15 2015-11-09 26.43% Neuchatel Xamax 1517 3 @ Lausanne-Sport 1539 2
16 2015-08-01 27.27% Chiasso 1482 2 @ Lausanne-Sport 1496 1
17 2015-08-13 28.13% Winterthur 1540 2 @ Aarau 1547 1
18 2015-10-03 28.58% Winterthur 1524 2 @ Lausanne-Sport 1527 0
19 2015-08-12 29.00% Wohlen 1508 3 @ Wil 1507 1
20 2016-04-16 30.49% @ Chiasso 1454 2 Neuchatel Xamax 1550 1
21 2015-08-09 30.70% Neuchatel Xamax 1535 2 @ Wohlen 1520 0
22 2015-11-21 30.92% Lausanne-Sport 1533 4 @ Schaffhausen 1516 0
23 2016-04-24 30.93% Winterthur 1494 2 @ Wohlen 1478 0
24 2016-04-09 31.17% Schaffhausen 1477 1 @ Le Mont 1459 0
25 2015-08-10 31.22% Winterthur 1534 2 @ Schaffhausen 1515 1

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2015-11-21 23.48 Lausanne-Sport 4 1533 30.92% @ Schaffhausen 0 1516 41.63% 27.45%
2 2015-10-26 19.92 Lausanne-Sport 3 1520 25.86% @ Aarau 0 1547 47.55% 26.59%
3 2015-11-08 19.90 Wohlen 3 1474 25.92% @ Biel-Bienne 0 1500 47.47% 26.61%
4 2015-08-23 19.83 Chiasso 3 1494 26.11% @ Wohlen 0 1519 47.24% 26.65%
5 2016-05-21 19.71 Winterthur 4 1491 18.36% @ Lausanne-Sport 1 1602 58.15% 23.49%
6 2015-08-23 18.19 Biel-Bienne 4 1476 22.08% @ Neuchatel Xamax 1 1542 52.55% 25.37%
7 2016-02-07 17.16 Wohlen 4 1498 24.84% @ Winterthur 1 1535 48.83% 26.32%
8 2015-08-26 17.12 @ Biel-Bienne 5 1494 37.56% Winterthur 1 1539 34.75% 27.69%
9 2016-05-24 16.42 Neuchatel Xamax 3 1560 35.42% @ Winterthur 0 1511 36.88% 27.70%
10 2015-09-27 16.40 @ Le Mont 3 1446 35.50% Wohlen 0 1505 36.80% 27.70%
11 2015-07-26 16.35 @ Chiasso 3 1466 35.66% Schaffhausen 0 1524 36.64% 27.70%
12 2016-04-09 15.21 @ Neuchatel Xamax 4 1535 49.99% Wohlen 0 1490 23.96% 26.05%
13 2015-11-30 15.19 Lausanne-Sport 3 1556 39.21% @ Biel-Bienne 0 1480 33.17% 27.63%
14 2015-11-08 14.04 Schaffhausen 2 1502 24.74% @ Winterthur 0 1540 48.96% 26.29%
15 2016-05-27 13.13 Schaffhausen 3 1495 21.11% @ Aarau 1 1571 53.93% 24.96%
16 2015-10-03 12.98 Winterthur 2 1524 28.58% @ Lausanne-Sport 0 1527 44.28% 27.14%
17 2015-08-02 12.55 Wil 3 1494 23.23% @ Neuchatel Xamax 1 1547 50.96% 25.81%
18 2015-08-29 12.45 @ Wil 4 1490 40.54% Chiasso 1 1514 31.92% 27.54%
19 2015-08-09 12.43 Neuchatel Xamax 2 1535 30.70% @ Wohlen 0 1520 41.87% 27.43%
20 2016-02-08 12.43 @ Wil 3 1516 47.60% Schaffhausen 0 1489 25.82% 26.58%
21 2016-04-24 12.37 Winterthur 2 1494 30.93% @ Wohlen 0 1478 41.61% 27.45%
22 2015-09-23 11.78 @ Schaffhausen 4 1496 42.95% Wil 1 1502 29.74% 27.31%
23 2015-12-06 11.71 @ Lausanne-Sport 3 1571 49.76% Wil 0 1528 24.13% 26.11%
24 2016-04-10 11.63 @ Aarau 3 1547 50.01% Winterthur 0 1501 23.94% 26.05%
25 2016-04-06 11.48 @ Le Mont 2 1448 34.68% Winterthur 0 1513 37.64% 27.69%

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 %
Team Score Elo Win % Team Score Elo Win %
1 2016-05-13 75.9 @ Wil 3 1534 39.85% Aarau 3 1563 32.56% 27.59%
2 2015-09-14 73.3 @ Wil 3 1502 41.29% Lausanne-Sport 3 1521 31.23% 27.48%
3 2016-03-14 72.5 @ Winterthur 2 1513 31.95% Lausanne-Sport 2 1598 40.50% 27.55%
4 2016-04-20 72.4 @ Aarau 2 1559 45.86% Neuchatel Xamax 2 1544 27.24% 26.90%
5 2015-09-27 70.0 @ Biel-Bienne 2 1511 41.56% Neuchatel Xamax 2 1528 30.98% 27.46%
6 2015-08-12 69.8 @ Biel-Bienne 3 1477 48.54% Le Mont 3 1442 25.07% 26.39%
7 2016-04-30 69.2 @ Wohlen 2 1465 31.80% Neuchatel Xamax 2 1552 40.67% 27.53%
8 2015-11-22 68.6 @ Chiasso 2 1479 37.58% Wil 2 1524 34.73% 27.69%
9 2015-07-25 68.4 @ Wohlen 2 1520 51.96% Le Mont 2 1460 22.50% 25.54%
10 2015-08-30 68.2 @ Winterthur 2 1522 53.58% Le Mont 2 1449 21.35% 25.07%
11 2016-04-04 67.9 @ Lausanne-Sport 1 1598 50.84% Aarau 1 1546 23.32% 25.84%
12 2016-03-06 67.8 @ Lausanne-Sport 1 1599 51.93% Neuchatel Xamax 1 1539 22.52% 25.55%
13 2015-08-02 67.6 Biel-Bienne 3 1470 20.42% @ Aarau 2 1554 54.96% 24.63%
14 2016-04-18 67.6 @ Schaffhausen 2 1484 43.09% Winterthur 2 1490 29.61% 27.30%
15 2016-05-27 67.1 Lausanne-Sport 3 1582 33.81% @ Wil 2 1544 38.53% 27.66%
16 2015-11-09 67.0 Neuchatel Xamax 3 1517 26.43% @ Lausanne-Sport 2 1539 46.84% 26.73%
17 2015-10-03 66.9 @ Chiasso 2 1488 47.33% Le Mont 2 1462 26.04% 26.64%
18 2015-07-20 65.5 @ Aarau 1 1555 48.69% Wohlen 1 1520 24.96% 26.35%
19 2015-10-18 65.5 @ Winterthur 1 1537 42.58% Aarau 1 1547 30.07% 27.36%
20 2015-09-23 64.7 @ Lausanne-Sport 1 1521 41.45% Aarau 1 1539 31.08% 27.47%
21 2016-04-10 64.6 @ Chiasso 1 1453 25.05% Lausanne-Sport 1 1597 48.57% 26.38%
22 2015-10-04 64.4 @ Aarau 1 1548 51.52% Wil 1 1490 22.82% 25.66%
23 2016-05-08 64.4 @ Neuchatel Xamax 1 1551 52.68% Schaffhausen 1 1485 21.99% 25.34%
24 2016-02-27 64.1 @ Wil 1 1536 48.63% Wohlen 1 1500 25.00% 26.37%
25 2015-11-01 63.8 @ Lausanne-Sport 1 1540 51.91% Le Mont 1 1480 22.53% 25.55%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-02-13 40.1 @ Wil 3 1528 51.50% Le Mont 0 1471 22.83% 25.67%
2 2016-05-21 40.1 @ Chiasso 2 1455 45.73% Le Mont 0 1441 27.35% 26.92%
3 2015-08-01 41.2 @ Schaffhausen 2 1507 50.21% Le Mont 0 1460 23.79% 26.00%
4 2016-02-08 41.5 @ Wil 3 1516 47.60% Schaffhausen 0 1489 25.82% 26.58%
5 2016-04-09 41.8 @ Neuchatel Xamax 4 1535 49.99% Wohlen 0 1490 23.96% 26.05%
6 2016-05-08 42.1 @ Le Mont 2 1430 39.00% Wohlen 0 1465 33.37% 27.64%
7 2016-04-10 42.4 @ Aarau 3 1547 50.01% Winterthur 0 1501 23.94% 26.05%
8 2015-09-27 43.1 @ Le Mont 3 1446 35.50% Wohlen 0 1505 36.80% 27.70%
9 2016-05-02 43.3 @ Schaffhausen 4 1475 48.50% Le Mont 1 1441 25.10% 26.39%
10 2015-11-02 43.4 @ Schaffhausen 2 1493 44.72% Chiasso 0 1487 28.20% 27.08%
11 2015-08-29 44.2 @ Lausanne-Sport 2 1512 45.68% Wohlen 0 1499 27.39% 26.93%
12 2015-12-06 44.2 @ Lausanne-Sport 3 1571 49.76% Wil 0 1528 24.13% 26.11%
13 2016-03-12 44.3 @ Aarau 2 1533 48.16% Wohlen 0 1501 25.37% 26.47%
14 2015-10-24 44.4 @ Wil 2 1496 43.34% Biel-Bienne 0 1500 29.40% 27.27%
15 2015-07-26 44.5 @ Chiasso 3 1466 35.66% Schaffhausen 0 1524 36.64% 27.70%
16 2015-09-23 44.6 @ Neuchatel Xamax 1 1524 53.65% Le Mont 0 1450 21.30% 25.04%
17 2016-05-16 44.6 @ Schaffhausen 4 1495 48.65% Wohlen 1 1460 24.99% 26.36%
18 2015-09-26 44.8 @ Aarau 2 1539 48.21% Schaffhausen 0 1507 25.33% 26.46%
19 2016-04-17 44.8 Lausanne-Sport 2 1596 48.52% @ Le Mont 0 1452 25.09% 26.39%
20 2016-03-20 45.0 @ Neuchatel Xamax 1 1531 53.87% Le Mont 0 1456 21.16% 24.98%
21 2015-08-30 45.1 @ Biel-Bienne 2 1511 44.13% Schaffhausen 0 1510 28.71% 27.17%
22 2015-10-04 45.2 @ Schaffhausen 2 1499 42.26% Biel-Bienne 0 1511 30.35% 27.39%
23 2015-10-18 45.2 @ Le Mont 2 1463 37.43% Schaffhausen 0 1509 34.88% 27.69%
24 2015-11-30 45.2 Lausanne-Sport 3 1556 39.21% @ Biel-Bienne 0 1480 33.17% 27.63%
25 2016-02-28 45.4 @ Aarau 1 1519 51.74% Le Mont 0 1460 22.66% 25.60%