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2015-16 Bundesliga Season

180 games

Final

Champion

Salzburg

74 points

Relegated

No relegation

Biggest Overachiever

Admira Wacker

7.26 points above expected

50 points · 42.74 expected points

Biggest Disappointment

SCR Altach

6.46 points below expected

40 points · 46.46 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 Salzburg 36 21 11 4 74 71 33 +38 70.32 +3.68
2 Rapid Wien 36 20 5 11 65 66 42 +24 65.53 -0.53
3 Austria Wien 36 17 8 11 59 65 48 +17 52.44 +6.56
4 Admira Wacker 36 13 11 12 50 45 51 -6 42.74 +7.26
5 Sturm Graz 36 12 12 12 48 40 40 0 54.18 -6.18
6 Wolfsberg 36 11 10 15 43 33 36 -3 41.01 +1.99
7 Ried 36 11 9 16 42 36 52 -16 42.85 -0.85
8 SCR Altach 36 11 7 18 40 39 49 -10 46.46 -6.46
9 Mattersburg 36 10 9 17 39 40 70 -30 39.88 -0.88
10 Grodig 36 9 8 19 35 42 56 -14 40.85 -5.85

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 Admira Wacker 50 42.74 +7.26
2 Austria Wien 59 52.44 +6.56
3 Salzburg 74 70.32 +3.68
4 Wolfsberg 43 41.01 +1.99
5 Rapid Wien 65 65.53 -0.53

Biggest Disappointments

# Team Actual Sim vsSim
1 SCR Altach 40 46.46 -6.46
2 Sturm Graz 48 54.18 -6.18
3 Grodig 35 40.85 -5.85
4 Mattersburg 39 39.88 -0.88
5 Ried 42 42.85 -0.85

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 Austria Wien 5 Sep 26 – Nov 1 1 in 121
2 Mattersburg 3 Aug 22 – Sep 13 1 in 45
3 Admira Wacker 3 Aug 12 – Aug 23 1 in 35
4 Ried 3 Nov 21 – Dec 2 1 in 29
5 Rapid Wien 5 Feb 6 – Mar 2 1 in 21

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 SCR Altach 4 Feb 13 – Mar 1 1 in 72
2 Rapid Wien 3 Oct 4 – Oct 25 1 in 68
3 Austria Wien 3 Apr 2 – Apr 17 1 in 23
4 Sturm Graz 3 Aug 22 – Sep 13 1 in 23
5 Grodig 4 Mar 5 – Apr 2 1 in 21

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Wolfsberg 9 Feb 13 – Apr 9 1 in 128
2 Mattersburg 6 Dec 6 – Feb 27 1 in 54
3 Admira Wacker 6 Jul 25 – Aug 23 1 in 43
4 Austria Wien 7 Sep 26 – Nov 21 1 in 20
5 Salzburg 14 Feb 20 – May 15 1 in 16

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Grodig 11 Dec 5 – Apr 2 1 in 74
2 Rapid Wien 5 Mar 6 – Apr 9 1 in 38
3 Mattersburg 9 Mar 19 – May 15 1 in 18
4 SCR Altach 7 Apr 9 – May 15 1 in 17
5 Austria Wien 5 Mar 13 – Apr 17 1 in 14

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Salzburg 1813 74 +18 13 10.1 +2.9
Rapid Wien 1720 65 +6 10 9.3 +0.7
Austria Wien 1692 59 +80 12 7.5 +4.5
Admira Wacker 1584 50 -8 6 5.9 +0.1
Sturm Graz 1637 48 -20 3 6.6 -3.6
Wolfsberg 1590 43 +4 7 6.6 +0.4
Ried 1560 42 -11 8 6.5 +1.5
SCR Altach 1593 40 -11 3 6.2 -3.2
Mattersburg 1469 39 -60 1 4.9 -3.9
Grodig 1543 35 +3 6 5.4 +0.6

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 AW AW GRO MAT RW RIE SA SAL SG WOL
Admira Wacker —
0-1-3
4.54
1-3-0
5.62
3-1-0
5.47
2-0-2
3.32
1-2-1
5.44
3-1-0
5.12
0-1-3
2.93
1-2-1
4.22
2-0-2
5.62
Austria Wien
3-1-0
6.46
 —
2-1-1
6.65
3-1-0
6.61
1-0-3
4.26
2-1-1
6.65
2-0-2
5.99
0-2-2
3.65
2-1-1
5.59
2-1-1
6.61
Grodig
0-3-1
5.37
1-1-2
4.36
 —
2-1-1
5.71
2-0-2
3.17
1-1-2
5.27
1-0-3
4.97
0-1-3
2.64
1-1-2
4.11
1-0-3
5.49
Mattersburg
0-1-3
5.51
0-1-3
4.38
1-1-2
5.24
 —
1-0-3
3.03
2-1-1
5.07
2-1-1
4.82
1-1-2
2.83
2-2-0
3.90
1-1-2
5.26
Rapid Wien
2-0-2
7.79
3-0-1
6.75
2-0-2
7.95
3-0-1
8.11
 —
3-0-1
7.53
1-2-1
7.51
1-1-2
4.79
3-1-0
6.49
2-1-1
7.74
Ried
1-2-1
5.51
1-1-2
4.35
2-1-1
5.69
1-1-2
5.89
1-0-3
3.52
 —
2-1-1
5.03
1-0-3
2.95
1-1-2
4.30
1-2-1
5.73
SCR Altach
0-1-3
5.86
2-0-2
4.98
3-0-1
6.02
1-1-2
6.17
1-2-1
3.54
1-1-2
5.95
 —
1-0-3
3.09
0-1-3
4.83
2-1-1
5.92
Salzburg
3-1-0
8.21
2-2-0
7.41
3-1-0
8.56
2-1-1
8.33
2-1-1
6.19
3-0-1
8.21
3-0-1
8.02
 —
2-2-0
7.30
1-3-0
8.49
Sturm Graz
1-2-1
6.80
1-1-2
5.39
2-1-1
6.90
0-2-2
7.16
0-1-3
4.49
2-1-1
6.71
3-1-0
6.14
0-2-2
3.76
 —
3-1-0
6.88
Wolfsberg
2-0-2
5.35
1-1-2
4.40
3-0-1
5.48
2-1-1
5.74
1-1-2
3.35
1-2-1
5.25
1-1-2
5.06
0-3-1
2.70
0-1-3
4.13
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.84 +8.3
Allowed 0.38 -7.2
Differential 0.89 +5.8

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
06.67%8.61%7.50%3.06%0.83%0.83%27.50%
18.61%12.78%8.33%3.33%1.39%0.56%35.00%
27.50%8.33%5.00%1.67%1.11%0.28%23.89%
33.06%3.33%1.67%0.56%——8.61%
40.83%1.39%1.11%———3.33%
5+0.83%0.56%0.28%———1.67%
Total27.50%35.00%23.89%8.61%3.33%1.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.32 1.32 +0.00
SD 1.25 1.25 1.90
CV 0.95 0.95 —
Max 9 9 +9
Min 0 0 -9

Games Played: 180

↓ Scored | Allowed →012345+Total
05.56%11.11%5.56%2.78%2.78%2.78%30.56%
15.56%19.44%2.78%5.56%——33.33%
2—16.67%5.56%———22.22%
32.78%2.78%2.78%———8.33%
45.56%—————5.56%
5+———————
Total19.44%50.00%16.67%8.33%2.78%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.25 1.42 -0.17
SD 1.16 1.48 2.16
CV 0.92 1.05 —
Max 4 8 +4
Min 0 0 -8

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%2.78%13.89%2.78%——22.22%
18.33%11.11%2.78%—2.78%—25.00%
22.78%13.89%8.33%—2.78%2.78%30.56%
35.56%8.33%————13.89%
4———————
5+5.56%2.78%————8.33%
Total25.00%38.89%25.00%2.78%5.56%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.81 1.33 +0.47
SD 1.79 1.22 2.44
CV 0.99 0.91 —
Max 9 5 +9
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%16.67%8.33%8.33%——36.11%
12.78%11.11%5.56%2.78%——22.22%
28.33%5.56%8.33%8.33%2.78%—33.33%
32.78%—2.78%———5.56%
4—2.78%————2.78%
5+———————
Total16.67%36.11%25.00%19.44%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.56 -0.39
SD 1.08 1.08 1.57
CV 0.93 0.69 —
Max 4 4 +3
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%2.78%8.33%5.56%2.78%2.78%30.56%
111.11%11.11%11.11%2.78%—5.56%41.67%
22.78%8.33%2.78%2.78%2.78%—19.44%
3———2.78%——2.78%
4—2.78%2.78%———5.56%
5+———————
Total22.22%25.00%25.00%13.89%5.56%8.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.11 1.94 -0.83
SD 1.06 1.91 2.27
CV 0.96 0.98 —
Max 4 9 +3
Min 0 0 -9

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%2.78%8.33%—2.78%—16.67%
15.56%5.56%13.89%———25.00%
211.11%11.11%5.56%—2.78%—30.56%
313.89%5.56%2.78%———22.22%
4———————
5+—2.78%2.78%———5.56%
Total33.33%27.78%33.33%—5.56%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.83 1.17 +0.67
SD 1.36 1.08 1.94
CV 0.74 0.93 —
Max 6 4 +5
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
011.11%11.11%2.78%2.78%—2.78%30.56%
119.44%8.33%8.33%5.56%8.33%—50.00%
25.56%—2.78%2.78%——11.11%
3—2.78%—2.78%——5.56%
4——2.78%———2.78%
5+———————
Total36.11%22.22%16.67%13.89%8.33%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.44 -0.44
SD 0.96 1.46 1.66
CV 0.96 1.01 —
Max 4 5 +2
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%5.56%8.33%———22.22%
18.33%8.33%19.44%13.89%2.78%—52.78%
211.11%5.56%2.78%———19.44%
32.78%2.78%————5.56%
4———————
5+———————
Total30.56%22.22%30.56%13.89%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.08 1.36 -0.28
SD 0.81 1.15 1.52
CV 0.74 0.85 —
Max 3 4 +3
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%5.56%————11.11%
15.56%19.44%5.56%———30.56%
211.11%16.67%5.56%———33.33%
32.78%5.56%2.78%———11.11%
4—5.56%5.56%———11.11%
5+2.78%—————2.78%
Total27.78%52.78%19.44%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.97 0.92 +1.06
SD 1.54 0.69 1.66
CV 0.78 0.75 —
Max 8 2 +8
Min 0 0 -1

Games Played: 36

↓ Scored | Allowed →012345+Total
011.11%8.33%8.33%5.56%——33.33%
111.11%16.67%5.56%2.78%——36.11%
211.11%—5.56%2.78%——19.44%
3—5.56%2.78%———8.33%
4—2.78%————2.78%
5+———————
Total33.33%33.33%22.22%11.11%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.11 1.11 +0.00
SD 1.06 1.01 1.49
CV 0.96 0.91 —
Max 4 3 +3
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%19.44%11.11%2.78%——41.67%
18.33%16.67%8.33%———33.33%
211.11%5.56%2.78%———19.44%
3——2.78%———2.78%
42.78%—————2.78%
5+———————
Total30.56%41.67%25.00%2.78%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.92 1.00 -0.08
SD 1.00 0.83 1.44
CV 1.09 0.83 —
Max 4 3 +4
Min 0 0 -3

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
Salzburg 1813 74 70.32 +3.68 72.5% 48 59 65 70 75 82 91
Rapid Wien 1720 65 65.53 -0.53 51.4% 40 53 60 65 71 78 88
Austria Wien 1692 59 52.44 +6.56 81.6% 31 40 47 52 57 66 76
Sturm Graz 1637 48 54.18 -6.18 22.1% 27 42 49 54 59 67 84
SCR Altach 1593 40 46.46 -6.46 22.4% 24 35 41 46 52 59 71
Wolfsberg 1590 43 41.01 +1.99 65.2% 18 30 36 41 46 53 64
Admira Wacker 1584 50 42.74 +7.26 85.4% 22 30 38 42 47 55 69
Ried 1560 42 42.85 -0.85 49.2% 20 31 38 43 47 55 65
Grodig 1543 35 40.85 -5.85 23.3% 13 29 36 40 46 54 68
Mattersburg 1469 39 39.88 -0.88 49.3% 17 28 35 40 45 52 63

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 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% 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
47.22%25.00%27.78%
Elo Value
Home Edge
208 Elo
0.005 goals per Elo point
068.43600
Scoring Tilt
Expected
+0.27 goals
Neutral
-2+0.33+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 4 * Open: 4 to 6 * Wide Open: 6 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 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
2.0
One-Team Race
124610
Champion Preseason Odds
65%
Salzburg, 1st of 10
LongshotFavorite
Title Margin
Expected
0.25/gm
Tight Race
00.220.5/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 5.91 * Some Luck: 5.91 to 8.87 * Lucky: 8.87 to 11.82 * Wild Swing: 11.82 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 1.2 * Close: 1.2 to 1.8 * Off: 1.8 to 2.39 * Way Off: 2.39 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
4.79 points
As Expected
07.3918
Average Finish Error
Expected
1.40
Close
01.503
Biggest Overachiever
Expected 95.00%
85.40%
Admira Wacker
50100
Biggest Underachiever
Expected 5.00%
22.10%
Sturm Graz
050
Season Outliers
Expected
0 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 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 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 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% 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 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% 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 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% 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 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.13
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.41
Moderate Separation
01.003
Interquartile Edge
66%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
88%
Strong Edge
50%87%100%
Close Games
Expected
62%
Very Frequent
0%57%100%
Blowouts
Expected
14%
Occasional
0%19%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 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 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 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 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% 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% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.61
Predictable
00.612
Matchup Imbalance
0.33
Lopsided
00.10.180.280.5
Strangeness
Expected
0.41
Very Predictable
01.002
Repeatability
0.67
Strong Carryover
00.30.60.851
Upset Rate
Expected
26%
As Expected
0%25%50%
Clear Favorite Upset Rate
Expected
21%
As Expected
0%21%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
0.38
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.00
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.095
Well Within Noise
00.1250.3

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team12345678910
Salzburg64.80%26.70%6.70%1.40%0.30%0.10%————
Rapid Wien28.90%47.40%15.00%6.20%1.60%0.50%0.20%0.10%0.10%—
Austria Wien2.80%8.60%23.30%24.50%17.00%10.10%6.00%4.00%2.40%1.30%
Admira Wacker0.20%1.40%3.70%9.10%11.60%13.90%16.70%14.30%14.90%14.20%
Sturm Graz2.90%11.10%31.40%23.10%13.90%8.10%4.20%3.10%1.40%0.80%
Wolfsberg—0.50%3.10%5.50%9.20%12.40%16.40%17.70%16.80%18.40%
Ried—0.90%3.60%6.80%10.50%15.90%17.70%16.00%16.00%12.60%
SCR Altach0.30%2.60%8.50%14.70%18.20%15.10%14.30%10.80%9.60%5.90%
Mattersburg0.10%0.30%2.00%3.50%8.00%10.40%12.80%17.30%19.10%26.50%
Grodig—0.50%2.70%5.20%9.70%13.50%11.70%16.70%19.70%20.30%

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 Same level Direct relegation
Rapid Wien 100% —
Salzburg 100% —
Sturm Graz 99.20% 0.80%
Austria Wien 98.70% 1.30%
SCR Altach 94.10% 5.90%
Ried 87.40% 12.60%
Admira Wacker 85.80% 14.20%
Wolfsberg 81.60% 18.40%
Grodig 79.70% 20.30%
Mattersburg 73.50% 26.50%

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
2015-07-25 Admira Wacker D 1-170.0 1658 1545 60.67% 22.04% 17.30%+0.87 -1.5 1
2015-07-25 @ Sturm Graz D 1-170.0 1545 1658 17.30% 22.04% 60.67%-0.87 +1.5 1
2015-07-25 Ried W 3-048.1 1711 1604 59.91% 22.32% 17.77%+0.84 +8.6 3
2015-07-25 @ Rapid Wien L 0-348.1 1604 1711 17.77% 22.32% 59.91%-0.84 -8.6 0
2015-07-25 Salzburg W 2-169.4 1567 1748 23.45% 24.79% 51.77%-0.54 +7.3 3
2015-07-25 @ Mattersburg L 1-269.4 1748 1567 51.77% 24.79% 23.45%+0.54 -7.3 0
2015-07-25 SCR Altach W 2-161.9 1563 1610 40.17% 26.42% 33.41%+0.10 +5.2 3
2015-07-25 @ Grodig L 1-261.9 1610 1563 33.41% 26.42% 40.17%-0.10 -5.2 0
2015-07-26 Austria Wien L 0-255.9 1576 1618 40.87% 26.38% 32.74%+0.13 -12.2 0
2015-07-26 @ Wolfsberg W 2-055.9 1618 1576 32.74% 26.38% 40.87%-0.13 +12.2 3
2015-08-01 Mattersburg W 2-159.6 1546 1575 42.77% 26.24% 30.99%+0.19 +4.9 4
2015-08-01 @ Admira Wacker L 1-259.6 1575 1546 30.99% 26.24% 42.77%-0.19 -4.9 3
2015-08-01 Rapid Wien L 1-270.0 1741 1719 49.48% 25.28% 25.24%+0.43 -7.1 0
2015-08-01 @ Salzburg W 2-170.0 1719 1741 25.24% 25.28% 49.48%-0.43 +7.1 6
2015-08-02 Grodig D 1-170.2 1657 1569 57.74% 23.08% 19.18%+0.75 -1.3 2
2015-08-02 @ Sturm Graz D 1-170.2 1569 1657 19.18% 23.08% 57.74%-0.75 +1.3 4
2015-08-02 SCR Altach W 3-157.5 1630 1605 49.96% 25.18% 24.85%+0.45 +7.1 6
2015-08-02 @ Austria Wien L 1-357.5 1605 1630 24.85% 25.18% 49.96%-0.45 -7.1 0
2015-08-02 Wolfsberg D 0-063.3 1595 1564 50.77% 25.01% 24.22%+0.48 -1.0 1
2015-08-02 @ Ried D 0-063.3 1564 1595 24.22% 25.01% 50.77%-0.48 +1.0 1
2015-08-08 Austria Wien D 2-274.7 1570 1637 37.25% 26.51% 36.24%+0.01 -0.0 5
2015-08-08 @ Grodig D 2-274.7 1637 1570 36.24% 26.51% 37.25%-0.01 +0.0 7
2015-08-08 Ried W 4-155.4 1570 1594 43.28% 26.19% 30.53%+0.21 +11.9 6
2015-08-08 @ Mattersburg L 1-455.4 1594 1570 30.53% 26.19% 43.28%-0.21 -11.9 1
2015-08-08 Salzburg D 2-276.6 1551 1734 23.28% 24.74% 51.98%-0.55 +0.7 5
2015-08-08 @ Admira Wacker D 2-276.6 1734 1551 51.98% 24.74% 23.28%+0.55 -0.7 1
2015-08-09 Sturm Graz L 0-159.4 1598 1655 38.67% 26.48% 34.85%+0.05 -6.2 0
2015-08-09 @ SCR Altach W 1-059.4 1655 1598 34.85% 26.48% 38.67%-0.05 +6.2 5
2015-08-09 Wolfsberg W 2-156.4 1727 1565 65.89% 19.86% 14.25%+1.11 +2.3 9
2015-08-09 @ Rapid Wien L 1-256.4 1565 1727 14.25% 19.86% 65.89%-1.11 -2.3 1
2015-08-11 Salzburg L 1-456.9 1582 1733 26.58% 25.58% 47.84%-0.40 -10.6 1
2015-08-11 @ Ried W 4-156.9 1733 1582 47.84% 25.58% 26.58%+0.40 +10.7 4
2015-08-12 Admira Wacker L 2-369.9 1570 1552 49.04% 25.37% 25.59%+0.42 -6.7 5
2015-08-12 @ Grodig W 3-269.9 1552 1570 25.59% 25.37% 49.04%-0.42 +6.7 8
2015-08-12 Mattersburg W 3-156.7 1592 1582 48.00% 25.56% 26.44%+0.38 +7.5 3
2015-08-12 @ SCR Altach L 1-356.7 1582 1592 26.44% 25.56% 48.00%-0.38 -7.5 6
2015-08-12 Rapid Wien L 2-562.3 1637 1729 33.86% 26.44% 39.70%-0.11 -11.2 7
2015-08-12 @ Austria Wien W 5-262.3 1729 1637 39.70% 26.44% 33.86%+0.11 +11.2 12
2015-08-12 Sturm Graz L 0-254.2 1563 1662 32.86% 26.39% 40.75%-0.15 -10.3 1
2015-08-12 @ Wolfsberg W 2-054.2 1662 1563 40.75% 26.39% 32.86%+0.15 +10.3 8
2015-08-15 Grodig W 3-263.8 1552 1563 45.16% 25.98% 28.85%+0.28 +4.4 4
2015-08-15 @ Wolfsberg L 2-363.8 1563 1552 28.85% 25.98% 45.16%-0.28 -4.4 5
2015-08-15 Mattersburg W 5-151.7 1626 1574 53.38% 24.39% 22.24%+0.58 +11.7 10
2015-08-15 @ Austria Wien L 1-551.7 1574 1626 22.24% 24.39% 53.38%-0.58 -11.7 6
2015-08-15 Ried W 3-156.5 1559 1572 44.85% 26.02% 29.13%+0.27 +8.1 11
2015-08-15 @ Admira Wacker L 1-356.5 1572 1559 29.13% 26.02% 44.85%-0.27 -8.1 1
2015-08-15 SCR Altach W 2-048.9 1744 1599 64.08% 20.66% 15.27%+1.02 +5.0 7
2015-08-15 @ Salzburg L 0-248.9 1599 1744 15.27% 20.66% 64.08%-1.02 -5.0 3
2015-08-16 Rapid Wien D 2-277.3 1672 1740 37.14% 26.51% 36.35%+0.00 -0.0 9
2015-08-16 @ Sturm Graz D 2-277.3 1740 1672 36.35% 26.51% 37.14%+0.00 +0.0 13
2015-08-22 Grodig W 3-045.5 1740 1559 67.90% 18.93% 13.17%+1.20 +6.2 16
2015-08-22 @ Rapid Wien L 0-345.5 1559 1740 13.17% 18.93% 67.90%-1.20 -6.2 5
2015-08-22 Sturm Graz W 1-060.0 1564 1672 31.64% 26.30% 42.05%-0.19 +6.6 4
2015-08-22 @ Ried L 0-160.0 1672 1564 42.05% 26.30% 31.64%+0.19 -6.6 9
2015-08-22 Wolfsberg W 1-052.4 1562 1557 47.41% 25.66% 26.94%+0.36 +4.7 9
2015-08-22 @ Mattersburg L 0-152.4 1557 1562 26.94% 25.66% 47.41%-0.36 -4.7 4
2015-08-23 Admira Wacker L 1-266.2 1594 1567 50.28% 25.12% 24.60%+0.46 -7.2 3
2015-08-23 @ SCR Altach W 2-166.2 1567 1594 24.60% 25.12% 50.28%-0.46 +7.2 14
2015-08-23 Austria Wien D 2-278.4 1749 1638 60.38% 22.15% 17.48%+0.86 -1.1 8
2015-08-23 @ Salzburg D 2-278.4 1638 1749 17.48% 22.15% 60.38%-0.86 +1.1 11
2015-08-29 Austria Wien L 0-158.3 1574 1639 37.57% 26.50% 35.93%+0.02 -6.1 14
2015-08-29 @ Admira Wacker W 1-058.3 1639 1574 35.93% 26.50% 37.57%-0.02 +6.0 14
2015-08-29 Mattersburg L 2-473.5 1746 1567 67.70% 19.03% 13.27%+1.19 -14.0 16
2015-08-29 @ Rapid Wien W 4-273.5 1567 1746 13.27% 19.03% 67.70%-1.19 +14.0 12
2015-08-29 Ried W 4-154.0 1553 1570 44.26% 26.09% 29.65%+0.24 +11.7 8
2015-08-29 @ Grodig L 1-454.0 1570 1553 29.65% 26.09% 44.26%-0.24 -11.6 4
2015-08-30 Salzburg L 2-370.9 1665 1748 35.12% 26.49% 38.40%-0.07 -5.1 9
2015-08-30 @ Sturm Graz W 3-270.9 1748 1665 38.40% 26.49% 35.12%+0.07 +5.1 11
2015-08-30 SCR Altach L 0-254.8 1552 1587 41.84% 26.32% 31.84%+0.16 -12.4 4
2015-08-30 @ Wolfsberg W 2-054.8 1587 1552 31.84% 26.32% 41.84%-0.16 +12.4 6
2015-09-12 Grodig W 4-256.9 1753 1564 68.64% 18.58% 12.79%+1.24 +3.2 14
2015-09-12 @ Salzburg L 2-456.9 1564 1753 12.79% 18.58% 68.64%-1.24 -3.2 8
2015-09-12 Rapid Wien W 2-059.4 1600 1732 28.62% 25.95% 45.43%-0.31 +13.2 9
2015-09-12 @ SCR Altach L 0-259.4 1732 1600 45.43% 25.95% 28.62%+0.31 -13.2 16
2015-09-12 Ried D 1-169.7 1645 1559 57.55% 23.15% 19.31%+0.74 -1.3 15
2015-09-12 @ Austria Wien D 1-169.7 1559 1645 19.31% 23.15% 57.55%-0.74 +1.3 5
2015-09-12 Wolfsberg W 1-051.2 1568 1540 50.35% 25.10% 24.55%+0.46 +4.3 17
2015-09-12 @ Admira Wacker L 0-151.2 1540 1568 24.55% 25.10% 50.35%-0.46 -4.3 4
2015-09-13 Sturm Graz W 2-056.0 1581 1660 35.58% 26.50% 37.92%-0.05 +11.5 15
2015-09-13 @ Mattersburg L 0-256.0 1660 1581 37.92% 26.50% 35.58%+0.05 -11.5 9
2015-09-19 Austria Wien W 2-053.3 1649 1644 47.31% 25.67% 27.02%+0.35 +8.8 12
2015-09-19 @ Sturm Graz L 0-253.3 1644 1649 27.02% 25.67% 47.31%-0.35 -8.8 15
2015-09-19 Mattersburg D 1-167.5 1561 1593 42.33% 26.28% 31.39%+0.18 -0.3 9
2015-09-19 @ Grodig D 1-167.5 1593 1561 31.39% 26.28% 42.33%-0.18 +0.3 16
2015-09-19 Salzburg D 1-171.2 1535 1756 19.91% 23.44% 56.66%-0.73 +1.2 5
2015-09-19 @ Wolfsberg D 1-171.2 1756 1535 56.66% 23.44% 19.91%+0.73 -1.2 15
2015-09-19 SCR Altach W 2-053.4 1560 1613 39.33% 26.46% 34.21%+0.08 +10.6 8
2015-09-19 @ Ried L 0-253.4 1613 1560 34.21% 26.46% 39.33%-0.08 -10.6 9
2015-09-20 Admira Wacker W 2-048.2 1719 1572 64.34% 20.55% 15.11%+1.04 +5.0 19
2015-09-20 @ Rapid Wien L 0-248.2 1572 1719 15.11% 20.55% 64.34%-1.04 -5.0 17
2015-09-26 Grodig W 1-052.3 1602 1561 52.03% 24.73% 23.25%+0.53 +4.1 12
2015-09-26 @ SCR Altach L 0-152.3 1561 1602 23.25% 24.73% 52.03%-0.53 -4.1 9
2015-09-26 Mattersburg W 4-258.1 1755 1593 65.91% 19.85% 14.24%+1.11 +3.6 18
2015-09-26 @ Salzburg L 2-458.1 1593 1755 14.24% 19.85% 65.91%-1.11 -3.6 16
2015-09-26 Rapid Wien L 0-156.0 1571 1724 26.27% 25.52% 48.21%-0.41 -4.6 8
2015-09-26 @ Ried W 1-056.0 1724 1571 48.21% 25.52% 26.27%+0.41 +4.6 22
2015-09-26 Wolfsberg W 1-050.4 1635 1537 58.93% 22.67% 18.40%+0.80 +3.3 18
2015-09-26 @ Austria Wien L 0-150.4 1537 1635 18.40% 22.67% 58.93%-0.80 -3.3 5
2015-09-27 Sturm Graz L 0-157.4 1567 1658 34.01% 26.45% 39.54%-0.11 -5.6 17
2015-09-27 @ Admira Wacker W 1-057.4 1658 1567 39.54% 26.45% 34.01%+0.11 +5.6 15
2015-10-03 Admira Wacker L 0-455.3 1589 1562 50.32% 25.11% 24.57%+0.46 -27.2 16
2015-10-03 @ Mattersburg W 4-055.3 1562 1589 24.57% 25.11% 50.32%-0.46 +27.2 20
2015-10-03 Austria Wien L 1-266.0 1606 1638 42.26% 26.29% 31.46%+0.18 -6.2 12
2015-10-03 @ SCR Altach W 2-166.0 1638 1606 31.46% 26.29% 42.26%-0.18 +6.2 21
2015-10-03 Ried D 1-165.9 1533 1566 42.18% 26.29% 31.53%+0.17 -0.3 6
2015-10-03 @ Wolfsberg D 1-165.9 1566 1533 31.53% 26.29% 42.18%-0.17 +0.3 9
2015-10-03 Sturm Graz W 3-055.0 1557 1663 31.88% 26.32% 41.80%-0.18 +18.0 12
2015-10-03 @ Grodig L 0-355.0 1663 1557 41.80% 26.32% 31.88%+0.18 -18.0 15
2015-10-04 Salzburg L 1-268.3 1729 1758 42.56% 26.26% 31.18%+0.19 -6.3 22
2015-10-04 @ Rapid Wien W 2-168.3 1758 1729 31.18% 26.26% 42.56%-0.19 +6.3 21
2015-10-17 Admira Wacker W 8-047.9 1765 1589 67.38% 19.18% 13.45%+1.17 +15.9 24
2015-10-17 @ Salzburg L 0-847.9 1589 1765 13.45% 19.18% 67.38%-1.17 -16.0 20
2015-10-17 Grodig W 2-158.3 1644 1575 55.55% 23.77% 20.67%+0.66 +3.5 24
2015-10-17 @ Austria Wien L 1-258.3 1575 1644 20.67% 23.77% 55.55%-0.66 -3.5 12
2015-10-17 Mattersburg L 0-158.8 1566 1562 47.20% 25.69% 27.11%+0.35 -7.2 9
2015-10-17 @ Ried W 1-058.8 1562 1566 27.11% 25.69% 47.20%-0.35 +7.2 19
2015-10-17 SCR Altach W 3-156.9 1645 1600 52.53% 24.60% 22.87%+0.55 +6.6 18
2015-10-17 @ Sturm Graz L 1-356.9 1600 1645 22.87% 24.60% 52.53%-0.55 -6.6 12
2015-10-18 Rapid Wien W 2-168.8 1533 1722 22.65% 24.53% 52.82%-0.58 +7.5 9
2015-10-18 @ Wolfsberg L 1-268.8 1722 1533 52.82% 24.53% 22.65%+0.58 -7.5 22
2015-10-24 Grodig D 0-062.7 1573 1571 46.85% 25.74% 27.41%+0.34 -0.7 21
2015-10-24 @ Admira Wacker D 0-062.7 1571 1573 27.41% 25.74% 46.85%-0.34 +0.7 13
2015-10-24 Ried W 2-155.2 1781 1559 71.83% 16.99% 11.19%+1.39 +1.8 27
2015-10-24 @ Salzburg L 1-255.2 1559 1781 11.19% 16.99% 71.83%-1.39 -1.8 9
2015-10-24 SCR Altach W 2-160.6 1569 1593 43.38% 26.18% 30.43%+0.21 +4.8 22
2015-10-24 @ Mattersburg L 1-260.6 1593 1569 30.43% 26.18% 43.38%-0.21 -4.9 12
2015-10-24 Wolfsberg W 2-047.6 1652 1541 60.41% 22.13% 17.45%+0.86 +5.8 21
2015-10-24 @ Sturm Graz L 0-247.6 1541 1652 17.45% 22.13% 60.41%-0.86 -5.8 9
2015-10-25 Austria Wien L 1-270.7 1715 1648 55.22% 23.87% 20.91%+0.65 -7.7 22
2015-10-25 @ Rapid Wien W 2-170.7 1648 1715 20.91% 23.87% 55.22%-0.65 +7.7 27
2015-10-31 Admira Wacker D 1-166.9 1557 1572 44.66% 26.04% 29.30%+0.26 -0.5 10
2015-10-31 @ Ried D 1-166.9 1572 1557 29.30% 26.04% 44.66%-0.26 +0.5 22
2015-10-31 Salzburg W 1-064.6 1588 1782 22.22% 24.38% 53.40%-0.60 +8.0 15
2015-10-31 @ SCR Altach L 0-164.6 1782 1588 53.40% 24.38% 22.22%+0.60 -8.0 27
2015-10-31 Sturm Graz W 2-161.0 1707 1658 53.07% 24.47% 22.47%+0.57 +3.7 25
2015-10-31 @ Rapid Wien L 1-261.0 1658 1707 22.47% 24.47% 53.07%-0.57 -3.8 21
2015-10-31 Wolfsberg W 1-050.8 1572 1535 51.52% 24.84% 23.64%+0.51 +4.2 16
2015-10-31 @ Grodig L 0-150.8 1535 1572 23.64% 24.84% 51.52%-0.51 -4.2 9
2015-11-01 Austria Wien L 1-263.7 1574 1656 35.26% 26.49% 38.25%-0.06 -5.4 22
2015-11-01 @ Mattersburg W 2-163.7 1656 1574 38.25% 26.49% 35.26%+0.06 +5.4 30
2015-11-07 Mattersburg W 2-159.3 1531 1569 41.38% 26.35% 32.27%+0.14 +5.1 12
2015-11-07 @ Wolfsberg L 1-259.3 1569 1531 32.27% 26.35% 41.38%-0.14 -5.1 22
2015-11-07 Ried W 3-262.2 1654 1557 58.78% 22.73% 18.49%+0.80 +2.9 24
2015-11-07 @ Sturm Graz L 2-362.2 1557 1654 18.49% 22.73% 58.78%-0.80 -2.9 10
2015-11-07 Salzburg D 1-171.6 1661 1774 30.99% 26.24% 42.77%-0.22 +0.4 31
2015-11-07 @ Austria Wien D 1-171.6 1774 1661 42.77% 26.24% 30.99%+0.22 -0.4 28
2015-11-07 SCR Altach D 1-168.0 1573 1596 43.39% 26.18% 30.43%+0.21 -0.4 23
2015-11-07 @ Admira Wacker D 1-168.0 1596 1573 30.43% 26.18% 43.39%-0.21 +0.4 16
2015-11-08 Rapid Wien W 2-167.6 1576 1711 28.38% 25.91% 45.71%-0.32 +6.6 19
2015-11-08 @ Grodig L 1-267.6 1711 1576 45.71% 25.91% 28.38%+0.32 -6.6 25
2015-11-21 Admira Wacker D 1-170.3 1661 1572 57.89% 23.03% 19.08%+0.76 -1.3 32
2015-11-21 @ Austria Wien D 1-170.3 1572 1661 19.08% 23.03% 57.89%-0.76 +1.3 24
2015-11-21 Grodig W 1-054.3 1554 1583 42.71% 26.25% 31.04%+0.19 +5.2 13
2015-11-21 @ Ried L 0-154.3 1583 1554 31.04% 26.25% 42.71%-0.19 -5.2 19
2015-11-21 Rapid Wien L 1-654.2 1564 1704 27.72% 25.80% 46.48%-0.35 -17.4 22
2015-11-21 @ Mattersburg W 6-154.2 1704 1564 46.48% 25.80% 27.72%+0.35 +17.4 28
2015-11-21 Wolfsberg W 2-156.4 1597 1536 54.52% 24.08% 21.41%+0.62 +3.6 19
2015-11-21 @ SCR Altach L 1-256.4 1536 1597 21.41% 24.08% 54.52%-0.62 -3.6 12
2015-11-22 Sturm Graz W 3-156.3 1774 1657 61.09% 21.87% 17.03%+0.89 +4.9 31
2015-11-22 @ Salzburg L 1-356.3 1657 1774 17.03% 21.87% 61.09%-0.89 -4.9 24
2015-11-28 Admira Wacker W 4-049.0 1532 1573 40.94% 26.38% 32.68%+0.13 +19.5 15
2015-11-28 @ Wolfsberg L 0-449.0 1573 1532 32.68% 26.38% 40.94%-0.13 -19.5 24
2015-11-28 Mattersburg D 0-065.1 1652 1546 59.77% 22.37% 17.86%+0.84 -1.6 25
2015-11-28 @ Sturm Graz D 0-065.1 1546 1652 17.86% 22.37% 59.77%-0.84 +1.6 23
2015-11-28 Salzburg D 1-171.7 1578 1779 21.54% 24.13% 54.34%-0.64 +1.1 20
2015-11-28 @ Grodig D 1-171.7 1779 1578 54.34% 24.13% 21.54%+0.64 -1.1 32
2015-11-29 Austria Wien W 4-266.2 1559 1660 32.59% 26.37% 41.03%-0.16 +9.5 16
2015-11-29 @ Ried L 2-466.2 1660 1559 41.03% 26.37% 32.59%+0.16 -9.4 32
2015-11-29 SCR Altach W 3-155.3 1722 1600 61.54% 21.70% 16.76%+0.91 +4.8 31
2015-11-29 @ Rapid Wien L 1-355.3 1600 1722 16.76% 21.70% 61.54%-0.91 -4.8 19
2015-12-01 Wolfsberg D 1-173.6 1778 1552 72.28% 16.75% 10.97%+1.42 -2.1 33
2015-12-01 @ Salzburg D 1-173.6 1552 1778 10.97% 16.75% 72.28%-1.42 +2.1 16
2015-12-02 Grodig L 0-254.6 1548 1579 42.44% 26.27% 31.29%+0.18 -12.5 23
2015-12-02 @ Mattersburg W 2-054.6 1579 1548 31.29% 26.27% 42.44%-0.18 +12.5 23
2015-12-02 Rapid Wien W 2-168.7 1554 1726 24.27% 25.03% 50.70%-0.50 +7.2 27
2015-12-02 @ Admira Wacker L 1-268.7 1726 1554 50.70% 25.03% 24.27%+0.50 -7.2 31
2015-12-02 Ried L 1-363.5 1596 1569 50.20% 25.13% 24.66%+0.46 -12.4 19
2015-12-02 @ SCR Altach W 3-163.5 1569 1596 24.66% 25.13% 50.20%-0.46 +12.4 19
2015-12-02 Sturm Graz W 2-162.3 1651 1650 46.70% 25.77% 27.53%+0.33 +4.5 35
2015-12-02 @ Austria Wien L 1-262.3 1650 1651 27.53% 25.77% 46.70%-0.33 -4.5 25
2015-12-05 Admira Wacker D 1-169.8 1646 1561 57.33% 23.22% 19.45%+0.74 -1.3 26
2015-12-05 @ Sturm Graz D 1-169.8 1561 1646 19.45% 23.22% 57.33%-0.74 +1.3 28
2015-12-05 Austria Wien W 2-056.3 1554 1655 32.52% 26.37% 41.11%-0.16 +12.2 19
2015-12-05 @ Wolfsberg L 0-256.3 1655 1554 41.11% 26.37% 32.52%+0.16 -12.2 35
2015-12-05 Ried W 2-157.2 1719 1581 63.41% 20.94% 15.65%+0.99 +2.6 34
2015-12-05 @ Rapid Wien L 1-257.2 1581 1719 15.65% 20.94% 63.41%-0.99 -2.6 19
2015-12-05 SCR Altach L 0-355.6 1591 1583 47.70% 25.61% 26.69%+0.37 -19.9 23
2015-12-05 @ Grodig W 3-055.6 1583 1591 26.69% 25.61% 47.70%-0.37 +19.9 22
2015-12-06 Salzburg D 0-066.9 1535 1776 18.37% 22.66% 58.97%-0.83 +1.5 24
2015-12-06 @ Mattersburg D 0-066.9 1776 1535 58.97% 22.66% 18.37%+0.83 -1.5 34
2015-12-12 Grodig W 2-049.4 1644 1571 55.98% 23.64% 20.37%+0.68 +6.8 29
2015-12-12 @ Sturm Graz L 0-249.4 1571 1644 20.37% 23.64% 55.98%-0.68 -6.8 23
2015-12-12 Mattersburg D 1-166.2 1562 1537 50.01% 25.17% 24.81%+0.45 -0.8 29
2015-12-12 @ Admira Wacker D 1-166.2 1537 1562 24.81% 25.17% 50.01%-0.45 +0.8 25
2015-12-12 SCR Altach L 1-268.4 1643 1603 51.84% 24.77% 23.39%+0.52 -7.3 35
2015-12-12 @ Austria Wien W 2-168.4 1603 1643 23.39% 24.77% 51.84%-0.52 +7.3 25
2015-12-12 Wolfsberg W 1-052.9 1578 1566 48.32% 25.50% 26.18%+0.39 +4.5 22
2015-12-12 @ Ried L 0-152.9 1566 1578 26.18% 25.50% 48.32%-0.39 -4.6 19
2015-12-13 Rapid Wien W 2-053.0 1774 1722 53.41% 24.38% 22.21%+0.58 +7.4 37
2015-12-13 @ Salzburg L 0-253.0 1722 1774 22.21% 24.38% 53.41%-0.58 -7.4 34
2016-02-06 Austria Wien L 0-157.8 1564 1636 36.69% 26.51% 36.80%-0.01 -5.9 23
2016-02-06 @ Grodig W 1-057.8 1636 1564 36.80% 26.51% 36.69%+0.01 +6.0 38
2016-02-06 Ried D 3-376.2 1538 1583 40.41% 26.41% 33.18%+0.11 -0.1 26
2016-02-06 @ Mattersburg D 3-376.2 1583 1538 33.18% 26.41% 40.41%-0.11 +0.1 23
2016-02-06 Sturm Graz D 2-275.7 1611 1651 41.03% 26.37% 32.60%+0.13 -0.2 26
2016-02-06 @ SCR Altach D 2-275.7 1651 1611 32.60% 26.37% 41.03%-0.13 +0.2 30
2016-02-06 Wolfsberg W 3-046.1 1714 1561 65.00% 20.26% 14.74%+1.07 +7.0 37
2016-02-06 @ Rapid Wien L 0-346.1 1561 1714 14.74% 20.26% 65.00%-1.07 -7.0 19
2016-02-07 Salzburg L 1-259.8 1562 1782 19.96% 23.46% 56.58%-0.73 -3.3 29
2016-02-07 @ Admira Wacker W 2-159.8 1782 1562 56.58% 23.46% 19.96%+0.73 +3.4 40
2016-02-13 Admira Wacker D 2-272.5 1558 1558 46.67% 25.77% 27.56%+0.33 -0.5 24
2016-02-13 @ Grodig D 2-272.5 1558 1558 27.56% 25.77% 46.67%-0.33 +0.5 30
2016-02-13 Mattersburg L 1-267.1 1610 1538 55.91% 23.67% 20.42%+0.68 -7.8 26
2016-02-13 @ SCR Altach W 2-167.1 1538 1610 20.42% 23.67% 55.91%-0.68 +7.8 29
2016-02-13 Salzburg W 1-064.8 1583 1785 21.51% 24.12% 54.38%-0.64 +8.1 26
2016-02-13 @ Ried L 0-164.8 1785 1583 54.38% 24.12% 21.51%+0.64 -8.1 40
2016-02-13 Sturm Graz D 0-064.0 1554 1652 33.09% 26.40% 40.51%-0.14 +0.3 20
2016-02-13 @ Wolfsberg D 0-064.0 1652 1554 40.51% 26.40% 33.09%+0.14 -0.3 31
2016-02-14 Rapid Wien L 0-355.2 1642 1722 35.45% 26.50% 38.06%-0.06 -15.9 38
2016-02-14 @ Austria Wien W 3-055.2 1722 1642 38.06% 26.50% 35.45%+0.06 +15.9 40
2016-02-20 Grodig W 2-049.7 1555 1558 46.19% 25.84% 27.97%+0.31 +9.1 23
2016-02-20 @ Wolfsberg L 0-249.7 1558 1555 27.97% 25.84% 46.19%-0.31 -9.1 24
2016-02-20 Mattersburg D 2-274.7 1626 1545 56.81% 23.39% 19.80%+0.71 -0.9 39
2016-02-20 @ Austria Wien D 2-274.7 1545 1626 19.80% 23.39% 56.81%-0.71 +0.9 30
2016-02-20 Ried D 0-062.7 1559 1591 42.20% 26.29% 31.51%+0.17 -0.4 31
2016-02-20 @ Admira Wacker D 0-062.7 1591 1559 31.51% 26.29% 42.20%-0.17 +0.4 27
2016-02-20 SCR Altach W 2-048.3 1777 1603 67.21% 19.26% 13.54%+1.17 +4.4 43
2016-02-20 @ Salzburg L 0-248.3 1603 1777 13.54% 19.26% 67.21%-1.17 -4.4 26
2016-02-21 Rapid Wien L 0-256.8 1651 1737 34.59% 26.47% 38.94%-0.09 -10.7 31
2016-02-21 @ Sturm Graz W 2-056.8 1737 1651 38.94% 26.47% 34.59%+0.09 +10.7 43
2016-02-27 Admira Wacker L 1-266.4 1598 1558 51.84% 24.77% 23.39%+0.52 -7.3 26
2016-02-27 @ SCR Altach W 2-166.4 1558 1598 23.39% 24.77% 51.84%-0.52 +7.3 34
2016-02-27 Sturm Graz L 0-159.4 1592 1641 39.88% 26.44% 33.68%+0.09 -6.3 27
2016-02-27 @ Ried W 1-059.4 1641 1592 33.68% 26.44% 39.88%-0.09 +6.3 34
2016-02-27 Wolfsberg D 1-166.3 1546 1564 44.30% 26.09% 29.61%+0.25 -0.5 31
2016-02-27 @ Mattersburg D 1-166.3 1564 1546 29.61% 26.09% 44.30%-0.25 +0.5 24
2016-02-28 Austria Wien W 4-152.4 1781 1625 65.36% 20.10% 14.54%+1.08 +5.8 46
2016-02-28 @ Salzburg L 1-452.4 1625 1781 14.54% 20.10% 65.36%-1.08 -5.8 39
2016-02-28 Grodig W 3-260.4 1748 1549 69.70% 18.06% 12.24%+1.29 +1.9 46
2016-02-28 @ Rapid Wien L 2-360.4 1549 1748 12.24% 18.06% 69.70%-1.29 -1.9 24
2016-03-01 SCR Altach W 1-054.8 1564 1591 43.01% 26.22% 30.77%+0.20 +5.2 27
2016-03-01 @ Wolfsberg L 0-154.8 1591 1564 30.77% 26.22% 43.01%-0.20 -5.2 26
2016-03-02 Austria Wien L 0-353.5 1566 1619 39.28% 26.46% 34.26%+0.07 -17.1 34
2016-03-02 @ Admira Wacker W 3-053.5 1619 1566 34.26% 26.46% 39.28%-0.07 +17.1 42
2016-03-02 Mattersburg W 3-044.8 1750 1546 70.17% 17.83% 12.01%+1.31 +5.6 49
2016-03-02 @ Rapid Wien L 0-344.8 1546 1750 12.01% 17.83% 70.17%-1.31 -5.6 31
2016-03-02 Ried D 2-272.8 1547 1585 41.39% 26.35% 32.26%+0.15 -0.2 25
2016-03-02 @ Grodig D 2-272.8 1585 1547 32.26% 26.35% 41.39%-0.15 +0.2 28
2016-03-02 Salzburg D 0-067.0 1647 1787 27.75% 25.81% 46.45%-0.35 +0.7 35
2016-03-02 @ Sturm Graz D 0-067.0 1787 1647 46.45% 25.81% 27.75%+0.35 -0.7 47
2016-03-05 Grodig W 3-044.3 1786 1547 73.50% 16.12% 10.39%+1.48 +4.7 50
2016-03-05 @ Salzburg L 0-344.3 1547 1786 10.39% 16.12% 73.50%-1.48 -4.7 25
2016-03-05 Ried W 3-156.3 1636 1585 53.19% 24.43% 22.37%+0.57 +6.5 45
2016-03-05 @ Austria Wien L 1-356.3 1585 1636 22.37% 24.43% 53.19%-0.57 -6.5 28
2016-03-05 Sturm Graz W 1-059.0 1540 1648 31.78% 26.31% 41.91%-0.19 +6.6 34
2016-03-05 @ Mattersburg L 0-159.0 1648 1540 41.91% 26.31% 31.78%+0.19 -6.6 35
2016-03-05 Wolfsberg L 0-254.7 1549 1569 43.83% 26.14% 30.04%+0.23 -12.8 34
2016-03-05 @ Admira Wacker W 2-054.7 1569 1549 30.04% 26.14% 43.83%-0.23 +12.8 30
2016-03-06 Rapid Wien D 0-066.5 1586 1756 24.53% 25.10% 50.37%-0.49 +1.0 27
2016-03-06 @ SCR Altach D 0-066.5 1756 1586 50.37% 25.10% 24.53%+0.49 -1.0 50
2016-03-12 Admira Wacker L 0-462.1 1755 1536 71.58% 17.11% 11.31%+1.38 -35.8 50
2016-03-12 @ Rapid Wien W 4-062.1 1536 1755 11.31% 17.11% 71.58%-1.38 +35.8 37
2016-03-12 Mattersburg L 0-157.2 1542 1547 46.00% 25.87% 28.13%+0.31 -7.1 25
2016-03-12 @ Grodig W 1-057.2 1547 1542 28.13% 25.87% 46.00%-0.31 +7.1 37
2016-03-12 Salzburg D 1-171.9 1582 1791 20.89% 23.87% 55.25%-0.68 +1.2 31
2016-03-12 @ Wolfsberg D 1-171.9 1791 1582 55.25% 23.87% 20.89%+0.68 -1.2 51
2016-03-12 SCR Altach L 0-256.5 1579 1587 45.64% 25.92% 28.44%+0.29 -13.2 28
2016-03-12 @ Ried W 2-056.5 1587 1579 28.44% 25.92% 45.64%-0.29 +13.2 30
2016-03-13 Austria Wien D 1-170.3 1641 1642 46.44% 25.81% 27.75%+0.32 -0.6 36
2016-03-13 @ Sturm Graz D 1-170.3 1642 1641 27.75% 25.81% 46.44%-0.32 +0.6 46
2016-03-19 Grodig W 1-050.6 1600 1535 54.94% 23.95% 21.10%+0.64 +3.7 33
2016-03-19 @ SCR Altach L 0-150.6 1535 1600 21.10% 23.95% 54.94%-0.64 -3.7 25
2016-03-19 Mattersburg W 2-154.8 1790 1554 73.16% 16.29% 10.55%+1.46 +1.6 54
2016-03-19 @ Salzburg L 1-254.8 1554 1790 10.55% 16.29% 73.16%-1.46 -1.6 37
2016-03-19 Sturm Graz W 1-057.9 1572 1640 37.05% 26.51% 36.45%+0.00 +5.9 40
2016-03-19 @ Admira Wacker L 0-157.9 1640 1572 36.45% 26.51% 37.05%+0.00 -5.9 36
2016-03-19 Wolfsberg D 0-065.1 1643 1583 54.34% 24.13% 21.54%+0.62 -1.2 47
2016-03-19 @ Austria Wien D 0-065.1 1583 1643 21.54% 24.13% 54.34%-0.62 +1.2 32
2016-03-20 Rapid Wien W 1-062.4 1566 1719 26.32% 25.53% 48.15%-0.41 +7.3 31
2016-03-20 @ Ried L 0-162.4 1719 1566 48.15% 25.53% 26.32%+0.41 -7.3 50
2016-04-02 Admira Wacker L 0-353.2 1552 1578 43.22% 26.20% 30.58%+0.21 -18.4 37
2016-04-02 @ Mattersburg W 3-053.2 1578 1552 30.58% 26.20% 43.22%-0.21 +18.4 43
2016-04-02 Austria Wien W 2-054.4 1604 1642 41.37% 26.35% 32.27%+0.14 +10.2 36
2016-04-02 @ SCR Altach L 0-254.4 1642 1604 32.27% 26.35% 41.37%-0.14 -10.2 47
2016-04-02 Ried W 1-053.3 1585 1573 48.17% 25.53% 26.30%+0.38 +4.6 35
2016-04-02 @ Wolfsberg L 0-153.3 1573 1585 26.30% 25.53% 48.17%-0.38 -4.6 31
2016-04-02 Sturm Graz L 1-358.5 1531 1634 32.31% 26.35% 41.34%-0.17 -8.8 25
2016-04-02 @ Grodig W 3-158.5 1634 1531 41.34% 26.35% 32.31%+0.17 +8.8 39
2016-04-03 Salzburg D 1-171.8 1711 1792 35.43% 26.50% 38.08%-0.06 +0.1 51
2016-04-03 @ Rapid Wien D 1-171.8 1792 1711 38.08% 26.50% 35.43%+0.06 -0.1 55
2016-04-09 Grodig L 0-259.5 1632 1523 60.18% 22.22% 17.60%+0.85 -16.6 47
2016-04-09 @ Austria Wien W 2-059.5 1523 1632 17.60% 22.22% 60.18%-0.85 +16.6 28
2016-04-09 Mattersburg W 1-050.8 1569 1534 51.18% 24.92% 23.89%+0.50 +4.2 34
2016-04-09 @ Ried L 0-150.8 1534 1569 23.89% 24.92% 51.18%-0.50 -4.2 37
2016-04-09 Rapid Wien D 2-276.4 1589 1711 29.86% 26.12% 44.02%-0.26 +0.3 36
2016-04-09 @ Wolfsberg D 2-276.4 1711 1589 44.02% 26.12% 29.86%+0.26 -0.3 52
2016-04-09 SCR Altach W 4-155.2 1643 1614 50.54% 25.06% 24.40%+0.47 +9.9 42
2016-04-09 @ Sturm Graz L 1-455.2 1614 1643 24.40% 25.06% 50.54%-0.47 -9.9 36
2016-04-10 Admira Wacker W 1-050.6 1791 1596 69.33% 18.24% 12.43%+1.27 +2.1 58
2016-04-10 @ Salzburg L 0-150.6 1596 1791 12.43% 18.24% 69.33%-1.27 -2.1 43
2016-04-16 Grodig D 1-167.5 1594 1539 53.72% 24.30% 21.99%+0.59 -1.1 44
2016-04-16 @ Admira Wacker D 1-167.5 1539 1594 21.99% 24.30% 53.72%-0.59 +1.1 29
2016-04-16 Ried W 2-155.4 1794 1573 71.77% 17.02% 11.22%+1.39 +1.8 61
2016-04-16 @ Salzburg L 1-255.4 1573 1794 11.22% 17.02% 71.77%-1.39 -1.8 34
2016-04-16 SCR Altach D 0-062.1 1530 1604 36.29% 26.51% 37.21%-0.03 +0.0 38
2016-04-16 @ Mattersburg D 0-062.1 1604 1530 37.21% 26.51% 36.29%+0.03 -0.0 37
2016-04-16 Wolfsberg W 1-053.2 1653 1589 54.82% 23.99% 21.19%+0.64 +3.8 45
2016-04-16 @ Sturm Graz L 0-153.2 1589 1653 21.19% 23.99% 54.82%-0.64 -3.8 36
2016-04-17 Austria Wien W 1-053.2 1711 1615 58.68% 22.76% 18.56%+0.79 +3.3 55
2016-04-17 @ Rapid Wien L 0-153.2 1615 1711 18.56% 22.76% 58.68%-0.79 -3.3 47
2016-04-23 Admira Wacker W 1-054.8 1571 1593 43.68% 26.15% 30.17%+0.22 +5.1 37
2016-04-23 @ Ried L 0-154.8 1593 1571 30.17% 26.15% 43.68%-0.22 -5.1 44
2016-04-23 Austria Wien L 0-953.0 1530 1612 35.16% 26.49% 38.35%-0.07 -44.4 38
2016-04-23 @ Mattersburg W 9-053.0 1612 1530 38.35% 26.49% 35.16%+0.07 +44.4 50
2016-04-23 Salzburg L 1-358.5 1604 1795 22.43% 24.45% 53.11%-0.59 -6.5 37
2016-04-23 @ SCR Altach W 3-158.5 1795 1604 53.11% 24.45% 22.43%+0.59 +6.5 64
2016-04-23 Wolfsberg L 0-156.9 1540 1586 40.36% 26.41% 33.23%+0.11 -6.4 29
2016-04-23 @ Grodig W 1-056.9 1586 1540 33.23% 26.41% 40.36%-0.11 +6.4 39
2016-04-24 Sturm Graz W 2-052.1 1714 1657 54.07% 24.20% 21.73%+0.61 +7.2 58
2016-04-24 @ Rapid Wien L 0-252.1 1657 1714 21.73% 24.20% 54.07%-0.61 -7.2 45
2016-04-30 Mattersburg W 2-044.4 1592 1485 59.90% 22.32% 17.78%+0.84 +5.9 42
2016-04-30 @ Wolfsberg L 0-244.4 1485 1592 17.78% 22.32% 59.90%-0.84 -5.9 38
2016-04-30 Rapid Wien W 2-060.1 1534 1722 22.77% 24.57% 52.66%-0.57 +14.9 32
2016-04-30 @ Grodig L 0-260.1 1722 1534 52.66% 24.57% 22.77%+0.57 -14.9 58
2016-04-30 Ried D 0-065.3 1650 1576 56.01% 23.64% 20.35%+0.68 -1.4 46
2016-04-30 @ Sturm Graz D 0-065.3 1576 1650 20.35% 23.64% 56.01%-0.68 +1.4 38
2016-04-30 SCR Altach W 2-160.6 1588 1597 45.34% 25.96% 28.70%+0.28 +4.6 47
2016-04-30 @ Admira Wacker L 1-260.6 1597 1588 28.70% 25.96% 45.34%-0.28 -4.6 37
2016-05-01 Salzburg L 0-254.7 1656 1802 27.14% 25.69% 47.17%-0.37 -8.9 50
2016-05-01 @ Austria Wien W 2-054.7 1802 1656 47.17% 25.69% 27.14%+0.37 +8.9 67
2016-05-07 Admira Wacker W 3-156.4 1647 1592 53.76% 24.28% 21.96%+0.59 +6.4 53
2016-05-07 @ Austria Wien L 1-356.4 1592 1647 21.96% 24.28% 53.76%-0.59 -6.3 47
2016-05-07 Grodig W 2-048.8 1577 1549 50.44% 25.08% 24.47%+0.47 +8.1 41
2016-05-07 @ Ried L 0-248.8 1549 1577 24.47% 25.08% 50.44%-0.47 -8.1 32
2016-05-07 Sturm Graz D 1-173.6 1811 1648 65.98% 19.82% 14.20%+1.11 -1.8 68
2016-05-07 @ Salzburg D 1-173.6 1648 1811 14.20% 19.82% 65.98%-1.11 +1.8 47
2016-05-07 Wolfsberg D 1-168.6 1593 1598 45.93% 25.88% 28.19%+0.30 -0.6 38
2016-05-07 @ SCR Altach D 1-168.6 1598 1593 28.19% 25.88% 45.93%-0.30 +0.6 43
2016-05-08 Rapid Wien L 0-248.3 1479 1707 19.36% 23.17% 57.46%-0.76 -6.5 38
2016-05-08 @ Mattersburg W 2-048.3 1707 1479 57.46% 23.17% 19.36%+0.76 +6.5 61
2016-05-11 Admira Wacker L 1-266.3 1599 1586 48.33% 25.50% 26.17%+0.39 -6.9 43
2016-05-11 @ Wolfsberg W 2-166.3 1586 1599 26.17% 25.50% 48.33%-0.39 +6.9 50
2016-05-11 Austria Wien L 0-554.2 1586 1654 37.13% 26.51% 36.36%+0.00 -26.5 41
2016-05-11 @ Ried W 5-054.2 1654 1586 36.36% 26.51% 37.13%+0.00 +26.5 56
2016-05-11 Mattersburg D 1-168.8 1650 1473 67.50% 19.12% 13.38%+1.18 -1.9 48
2016-05-11 @ Sturm Graz D 1-168.8 1473 1650 13.38% 19.12% 67.50%-1.18 +1.9 39
2016-05-11 Salzburg L 1-258.2 1541 1809 16.40% 21.46% 62.14%-0.96 -2.7 32
2016-05-11 @ Grodig W 2-158.2 1809 1541 62.14% 21.46% 16.40%+0.96 +2.7 71
2016-05-11 SCR Altach D 1-171.9 1713 1592 61.54% 21.70% 16.76%+0.91 -1.5 62
2016-05-11 @ Rapid Wien D 1-171.9 1592 1713 16.76% 21.70% 61.54%-0.91 +1.6 39
2016-05-15 Grodig L 2-363.1 1475 1538 37.87% 26.50% 35.63%+0.03 -5.4 39
2016-05-15 @ Mattersburg W 3-263.1 1538 1475 35.63% 26.50% 37.87%-0.03 +5.5 35
2016-05-15 Rapid Wien L 1-360.5 1593 1712 30.29% 26.17% 43.54%-0.24 -8.4 50
2016-05-15 @ Admira Wacker W 3-160.5 1712 1593 43.54% 26.17% 30.29%+0.24 +8.4 65
2016-05-15 Ried D 0-063.2 1594 1559 51.18% 24.92% 23.90%+0.50 -1.0 40
2016-05-15 @ SCR Altach D 0-063.2 1559 1594 23.90% 24.92% 51.18%-0.50 +1.0 42
2016-05-15 Sturm Graz W 3-051.0 1680 1648 50.84% 25.00% 24.16%+0.48 +11.6 59
2016-05-15 @ Austria Wien L 0-351.0 1648 1680 24.16% 25.00% 50.84%-0.48 -11.6 48
2016-05-15 Wolfsberg W 1-050.0 1812 1592 71.68% 17.06% 11.26%+1.39 +1.9 74
2016-05-15 @ Salzburg L 0-150.0 1592 1812 11.26% 17.06% 71.68%-1.39 -1.9 43

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 2016-03-12 11.31% Admira Wacker 1536 4 @ Rapid Wien 1755 0
2 2015-08-29 13.27% Mattersburg 1567 4 @ Rapid Wien 1746 2
3 2016-04-09 17.60% Grodig 1523 2 @ Austria Wien 1632 0
4 2016-02-13 20.42% Mattersburg 1538 2 @ SCR Altach 1610 1
5 2015-10-25 20.91% Austria Wien 1648 2 @ Rapid Wien 1715 1
6 2016-02-13 21.51% @ Ried 1583 1 Salzburg 1785 0
7 2015-10-31 22.22% @ SCR Altach 1588 1 Salzburg 1782 0
8 2015-10-18 22.65% @ Wolfsberg 1533 2 Rapid Wien 1722 1
9 2016-04-30 22.77% @ Grodig 1534 2 Rapid Wien 1722 0
10 2015-12-12 23.39% SCR Altach 1603 2 @ Austria Wien 1643 1
11 2016-02-27 23.39% Admira Wacker 1558 2 @ SCR Altach 1598 1
12 2015-07-25 23.45% @ Mattersburg 1567 2 Salzburg 1748 1
13 2015-12-02 24.27% @ Admira Wacker 1554 2 Rapid Wien 1726 1
14 2015-10-03 24.57% Admira Wacker 1562 4 @ Mattersburg 1589 0
15 2015-08-23 24.60% Admira Wacker 1567 2 @ SCR Altach 1594 1
16 2015-12-02 24.66% Ried 1569 3 @ SCR Altach 1596 1
17 2015-08-01 25.24% Rapid Wien 1719 2 @ Salzburg 1741 1
18 2015-08-12 25.59% Admira Wacker 1552 3 @ Grodig 1570 2
19 2016-05-11 26.17% Admira Wacker 1586 2 @ Wolfsberg 1599 1
20 2016-03-20 26.32% @ Ried 1566 1 Rapid Wien 1719 0
21 2015-12-05 26.69% SCR Altach 1583 3 @ Grodig 1591 0
22 2015-10-17 27.11% Mattersburg 1562 1 @ Ried 1566 0
23 2016-03-12 28.13% Mattersburg 1547 1 @ Grodig 1542 0
24 2015-11-08 28.38% @ Grodig 1576 2 Rapid Wien 1711 1
25 2016-03-12 28.44% SCR Altach 1587 2 @ Ried 1579 0

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 2016-04-23 44.40 Austria Wien 9 1612 38.35% @ Mattersburg 0 1530 35.16% 26.49%
2 2016-03-12 35.83 Admira Wacker 4 1536 11.31% @ Rapid Wien 0 1755 71.58% 17.11%
3 2015-10-03 27.19 Admira Wacker 4 1562 24.57% @ Mattersburg 0 1589 50.32% 25.11%
4 2016-05-11 26.45 Austria Wien 5 1654 36.36% @ Ried 0 1586 37.13% 26.51%
5 2015-12-05 19.93 SCR Altach 3 1583 26.69% @ Grodig 0 1591 47.70% 25.61%
6 2015-11-28 19.50 @ Wolfsberg 4 1532 40.94% Admira Wacker 0 1573 32.68% 26.38%
7 2016-04-02 18.43 Admira Wacker 3 1578 30.58% @ Mattersburg 0 1552 43.22% 26.20%
8 2015-10-03 17.96 @ Grodig 3 1557 31.88% Sturm Graz 0 1663 41.80% 26.32%
9 2015-11-21 17.43 Rapid Wien 6 1704 46.48% @ Mattersburg 1 1564 27.72% 25.80%
10 2016-03-02 17.13 Austria Wien 3 1619 34.26% @ Admira Wacker 0 1566 39.28% 26.46%
11 2016-04-09 16.57 Grodig 2 1523 17.60% @ Austria Wien 0 1632 60.18% 22.22%
12 2015-10-17 15.95 @ Salzburg 8 1765 67.38% Admira Wacker 0 1589 13.45% 19.18%
13 2016-02-14 15.87 Rapid Wien 3 1722 38.06% @ Austria Wien 0 1642 35.45% 26.50%
14 2016-04-30 14.87 @ Grodig 2 1534 22.77% Rapid Wien 0 1722 52.66% 24.57%
15 2015-08-29 14.05 Mattersburg 4 1567 13.27% @ Rapid Wien 2 1746 67.70% 19.03%
16 2016-03-12 13.25 SCR Altach 2 1587 28.44% @ Ried 0 1579 45.64% 25.92%
17 2015-09-12 13.20 @ SCR Altach 2 1600 28.62% Rapid Wien 0 1732 45.43% 25.95%
18 2016-03-05 12.83 Wolfsberg 2 1569 30.04% @ Admira Wacker 0 1549 43.83% 26.14%
19 2015-12-02 12.52 Grodig 2 1579 31.29% @ Mattersburg 0 1548 42.44% 26.27%
20 2015-08-30 12.38 SCR Altach 2 1587 31.84% @ Wolfsberg 0 1552 41.84% 26.32%
21 2015-12-02 12.38 Ried 3 1569 24.66% @ SCR Altach 1 1596 50.20% 25.13%
22 2015-12-05 12.21 @ Wolfsberg 2 1554 32.52% Austria Wien 0 1655 41.11% 26.37%
23 2015-07-26 12.16 Austria Wien 2 1618 32.74% @ Wolfsberg 0 1576 40.87% 26.38%
24 2015-08-08 11.93 @ Mattersburg 4 1570 43.28% Ried 1 1594 30.53% 26.19%
25 2015-08-15 11.72 @ Austria Wien 5 1626 53.38% Mattersburg 1 1574 22.24% 24.39%

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 2015-08-23 78.4 @ Salzburg 2 1749 60.38% Austria Wien 2 1638 17.48% 22.15%
2 2015-08-16 77.3 @ Sturm Graz 2 1672 37.14% Rapid Wien 2 1740 36.35% 26.51%
3 2015-08-08 76.6 @ Admira Wacker 2 1551 23.28% Salzburg 2 1734 51.98% 24.74%
4 2016-04-09 76.4 @ Wolfsberg 2 1589 29.86% Rapid Wien 2 1711 44.02% 26.12%
5 2016-02-06 76.2 @ Mattersburg 3 1538 40.41% Ried 3 1583 33.18% 26.41%
6 2016-02-06 75.7 @ SCR Altach 2 1611 41.03% Sturm Graz 2 1651 32.60% 26.37%
7 2015-08-08 74.7 @ Grodig 2 1570 37.25% Austria Wien 2 1637 36.24% 26.51%
8 2016-02-20 74.7 @ Austria Wien 2 1626 56.81% Mattersburg 2 1545 19.80% 23.39%
9 2015-12-01 73.6 @ Salzburg 1 1778 72.28% Wolfsberg 1 1552 10.97% 16.75%
10 2016-05-07 73.6 @ Salzburg 1 1811 65.98% Sturm Graz 1 1648 14.20% 19.82%
11 2015-08-29 73.5 Mattersburg 4 1567 13.27% @ Rapid Wien 2 1746 67.70% 19.03%
12 2016-03-02 72.8 @ Grodig 2 1547 41.39% Ried 2 1585 32.26% 26.35%
13 2016-02-13 72.5 @ Grodig 2 1558 46.67% Admira Wacker 2 1558 27.56% 25.77%
14 2016-03-12 71.9 @ Wolfsberg 1 1582 20.89% Salzburg 1 1791 55.25% 23.87%
15 2016-05-11 71.9 @ Rapid Wien 1 1713 61.54% SCR Altach 1 1592 16.76% 21.70%
16 2016-04-03 71.8 @ Rapid Wien 1 1711 35.43% Salzburg 1 1792 38.08% 26.50%
17 2015-11-28 71.7 @ Grodig 1 1578 21.54% Salzburg 1 1779 54.34% 24.13%
18 2015-11-07 71.6 @ Austria Wien 1 1661 30.99% Salzburg 1 1774 42.77% 26.24%
19 2015-09-19 71.2 @ Wolfsberg 1 1535 19.91% Salzburg 1 1756 56.66% 23.44%
20 2015-08-30 70.9 Salzburg 3 1748 38.40% @ Sturm Graz 2 1665 35.12% 26.49%
21 2015-10-25 70.7 Austria Wien 2 1648 20.91% @ Rapid Wien 1 1715 55.22% 23.87%
22 2015-11-21 70.3 @ Austria Wien 1 1661 57.89% Admira Wacker 1 1572 19.08% 23.03%
23 2016-03-13 70.3 @ Sturm Graz 1 1641 46.44% Austria Wien 1 1642 27.75% 25.81%
24 2015-08-02 70.2 @ Sturm Graz 1 1657 57.74% Grodig 1 1569 19.18% 23.08%
25 2015-07-25 70.0 @ Sturm Graz 1 1658 60.67% Admira Wacker 1 1545 17.30% 22.04%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-03-05 44.3 @ Salzburg 3 1786 73.50% Grodig 0 1547 10.39% 16.12%
2 2016-04-30 44.4 @ Wolfsberg 2 1592 59.90% Mattersburg 0 1485 17.78% 22.32%
3 2016-03-02 44.8 @ Rapid Wien 3 1750 70.17% Mattersburg 0 1546 12.01% 17.83%
4 2015-08-22 45.5 @ Rapid Wien 3 1740 67.90% Grodig 0 1559 13.17% 18.93%
5 2016-02-06 46.1 @ Rapid Wien 3 1714 65.00% Wolfsberg 0 1561 14.74% 20.26%
6 2015-10-24 47.6 @ Sturm Graz 2 1652 60.41% Wolfsberg 0 1541 17.45% 22.13%
7 2015-10-17 47.9 @ Salzburg 8 1765 67.38% Admira Wacker 0 1589 13.45% 19.18%
8 2015-07-25 48.1 @ Rapid Wien 3 1711 59.91% Ried 0 1604 17.77% 22.32%
9 2015-09-20 48.2 @ Rapid Wien 2 1719 64.34% Admira Wacker 0 1572 15.11% 20.55%
10 2016-02-20 48.3 @ Salzburg 2 1777 67.21% SCR Altach 0 1603 13.54% 19.26%
11 2016-05-08 48.3 Rapid Wien 2 1707 57.46% @ Mattersburg 0 1479 19.36% 23.17%
12 2016-05-07 48.8 @ Ried 2 1577 50.44% Grodig 0 1549 24.47% 25.08%
13 2015-08-15 48.9 @ Salzburg 2 1744 64.08% SCR Altach 0 1599 15.27% 20.66%
14 2015-11-28 49.0 @ Wolfsberg 4 1532 40.94% Admira Wacker 0 1573 32.68% 26.38%
15 2015-12-12 49.4 @ Sturm Graz 2 1644 55.98% Grodig 0 1571 20.37% 23.64%
16 2016-02-20 49.7 @ Wolfsberg 2 1555 46.19% Grodig 0 1558 27.97% 25.84%
17 2016-05-15 50.0 @ Salzburg 1 1812 71.68% Wolfsberg 0 1592 11.26% 17.06%
18 2015-09-26 50.4 @ Austria Wien 1 1635 58.93% Wolfsberg 0 1537 18.40% 22.67%
19 2016-03-19 50.6 @ SCR Altach 1 1600 54.94% Grodig 0 1535 21.10% 23.95%
20 2016-04-10 50.6 @ Salzburg 1 1791 69.33% Admira Wacker 0 1596 12.43% 18.24%
21 2015-10-31 50.8 @ Grodig 1 1572 51.52% Wolfsberg 0 1535 23.64% 24.84%
22 2016-04-09 50.8 @ Ried 1 1569 51.18% Mattersburg 0 1534 23.89% 24.92%
23 2016-05-15 51.0 @ Austria Wien 3 1680 50.84% Sturm Graz 0 1648 24.16% 25.00%
24 2015-09-12 51.2 @ Admira Wacker 1 1568 50.35% Wolfsberg 0 1540 24.55% 25.10%
25 2015-08-15 51.7 @ Austria Wien 5 1626 53.38% Mattersburg 1 1574 22.24% 24.39%