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2013-14 Bundesliga Season

180 games

Final

Champion

Salzburg

80 points

Relegated

No relegation

Biggest Overachiever

Admira Wacker

8.20 points above expected

42 points · 33.80 expected points

Biggest Disappointment

Austria Wien

11.78 points below expected

53 points · 64.78 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 25 5 6 80 110 35 +75 77.24 +2.76
2 Rapid Wien 36 17 11 8 62 63 40 +23 58.78 +3.22
3 Grodig 36 15 9 12 54 68 71 -3 46.58 +7.42
4 Austria Wien 36 14 11 11 53 58 44 +14 64.78 -11.78
5 Sturm Graz 36 13 9 14 48 55 55 0 43.44 +4.56
6 Ried 36 10 13 13 43 55 66 -11 48.23 -5.23
7 Admira Wacker 36 11 9 16 42 51 67 -16 33.80 +8.20
8 Wolfsberg 36 11 8 17 41 50 63 -13 44.85 -3.85
9 Wiener Neustadter 36 10 9 17 39 43 84 -41 36.25 +2.75
10 Wacker Innsbruck 36 5 14 17 29 42 70 -28 35.47 -6.47

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 42 33.80 +8.20
2 Grodig 54 46.58 +7.42
3 Sturm Graz 48 43.44 +4.56
4 Rapid Wien 62 58.78 +3.22
5 Salzburg 80 77.24 +2.76

Biggest Disappointments

# Team Actual Sim vsSim
1 Austria Wien 53 64.78 -11.78
2 Wacker Innsbruck 29 35.47 -6.47
3 Ried 43 48.23 -5.23
4 Wolfsberg 41 44.85 -3.85
5 Wiener Neustadter 39 36.25 +2.75

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 Salzburg 12 Dec 1 – Mar 23 1 in 106
2 Sturm Graz 3 Apr 12 – Apr 27 1 in 66
3 Rapid Wien 5 Mar 15 – Apr 6 1 in 52
4 Wolfsberg 3 Dec 8 – Dec 14 1 in 34
5 Wiener Neustadter 3 Feb 22 – Mar 8 1 in 32

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Salzburg 2 Nov 10 – Nov 24 1 in 34
2 Wolfsberg 4 Mar 8 – Mar 26 1 in 33
3 Admira Wacker 4 Aug 25 – Sep 21 1 in 23
4 Rapid Wien 2 Aug 18 – Aug 25 1 in 20
5 Grodig 3 Mar 26 – Apr 5 1 in 17

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Wolfsberg 7 Sep 14 – Nov 2 1 in 44
2 Rapid Wien 11 Mar 9 – May 11 1 in 33
3 Ried 7 Jul 20 – Aug 31 1 in 18
4 Salzburg 14 Jul 20 – Nov 2 1 in 14
5 Grodig 5 Apr 12 – May 11 1 in 14

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Austria Wien 6 Dec 7 – Feb 22 1 in 81
2 Wacker Innsbruck 13 Dec 7 – Apr 5 1 in 29
3 Wolfsberg 7 Jul 20 – Aug 31 1 in 18
4 Ried 6 Feb 15 – Mar 22 1 in 14
5 Grodig 4 Feb 22 – Mar 15 1 in 9

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 1894 80 -21 6 10.9 -4.9
Rapid Wien 1774 62 +15 11 8.5 +2.5
Grodig 1646 54 +18 11 6.2 +4.8
Austria Wien 1784 53 -6 7 10.0 -3.0
Sturm Graz 1664 48 +17 12 6.1 +5.9
Ried 1643 43 -12 3 6.2 -3.2
Admira Wacker 1614 42 -18 4 5.6 -1.6
Wolfsberg 1637 41 -4 3 5.5 -2.5
Wiener Neustadter 1552 39 -1 6 5.0 +1.0
Wacker Innsbruck 1556 29 +11 8 4.8 +3.2

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team AW AW GRO RW RIE SAL SG WI WN WOL
Admira Wacker —
1-1-2
2.95
1-0-3
4.59
2-1-1
3.37
0-2-2
4.41
1-0-3
2.08
1-3-0
4.84
1-2-1
5.77
1-0-3
5.92
3-0-1
4.80
Austria Wien
2-1-1
8.15
 —
1-0-3
7.43
0-1-3
6.10
0-4-0
7.23
1-0-3
4.03
2-1-1
7.74
2-2-0
8.44
3-1-0
8.27
3-1-0
7.53
Grodig
3-0-1
6.30
3-0-1
3.56
 —
1-3-0
4.13
2-1-1
5.21
0-0-4
2.60
1-1-2
5.98
0-3-1
6.92
2-0-2
6.83
3-1-0
5.50
Rapid Wien
1-1-2
7.65
3-1-0
4.78
0-3-1
6.78
 —
3-0-1
6.74
2-1-1
3.40
2-1-1
7.10
3-1-0
7.90
2-2-0
7.67
1-1-2
6.93
Ried
2-2-0
6.49
0-4-0
3.73
1-1-2
5.64
1-0-3
4.16
 —
0-0-4
2.75
1-1-2
6.03
2-1-1
6.91
1-3-0
6.80
2-1-1
5.75
Salzburg
3-0-1
9.24
3-0-1
6.89
4-0-0
8.59
1-1-2
7.62
4-0-0
8.40
 —
2-1-1
8.94
2-2-0
9.38
4-0-0
9.17
2-1-1
8.95
Sturm Graz
0-3-1
6.04
1-1-2
3.29
2-1-1
4.90
1-1-2
3.84
2-1-1
4.85
1-1-2
2.32
 —
3-1-0
6.12
1-0-3
6.37
2-0-2
5.34
Wacker Innsbruck
1-2-1
5.09
0-2-2
2.72
1-3-0
4.01
0-1-3
3.17
1-1-2
4.03
0-2-2
1.99
0-1-3
4.76
 —
2-1-1
5.35
0-1-3
4.34
Wiener Neustadter
3-0-1
4.94
0-1-3
2.85
2-0-2
4.09
0-2-2
3.35
0-3-1
4.12
0-0-4
2.14
3-0-1
4.55
1-1-2
5.51
 —
1-2-1
4.48
Wolfsberg
1-0-3
6.08
0-1-3
3.47
0-1-3
5.37
2-1-1
4.01
1-1-2
5.11
1-1-2
2.31
2-0-2
5.51
3-1-0
6.56
1-2-1
6.41
 —

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 +6.8
Allowed 0.63 -7.2
Differential 0.90 +4.2

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
05.00%5.56%4.17%3.89%2.78%2.22%23.61%
15.56%12.78%6.39%3.06%1.94%1.67%31.39%
24.17%6.39%6.67%1.94%1.11%0.56%20.83%
33.89%3.06%1.94%2.78%0.28%0.83%12.78%
42.78%1.94%1.11%0.28%——6.11%
5+2.22%1.67%0.56%0.83%——5.28%
Total23.61%31.39%20.83%12.78%6.11%5.28%100%

Summary Statistics

Scored Allowed Difference
Mean 1.65 1.65 +0.00
SD 1.49 1.49 2.30
CV 0.90 0.90 —
Max 8 8 +7
Min 0 0 -7

Games Played: 180

↓ Scored | Allowed →012345+Total
05.56%8.33%2.78%5.56%2.78%—25.00%
15.56%8.33%5.56%2.78%2.78%5.56%30.56%
25.56%2.78%8.33%2.78%2.78%2.78%25.00%
38.33%2.78%2.78%2.78%——16.67%
42.78%—————2.78%
5+———————
Total27.78%22.22%19.44%13.89%8.33%8.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.86 -0.44
SD 1.13 1.81 2.29
CV 0.80 0.97 —
Max 4 7 +4
Min 0 0 -6

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%11.11%——2.78%—19.44%
15.56%16.67%8.33%2.78%—2.78%36.11%
28.33%5.56%5.56%2.78%——22.22%
35.56%2.78%2.78%2.78%——13.89%
4—2.78%————2.78%
5+5.56%—————5.56%
Total30.56%38.89%16.67%8.33%2.78%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.22 +0.39
SD 1.34 1.22 1.98
CV 0.83 1.00 —
Max 5 5 +5
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%2.78%2.78%2.78%2.78%5.56%22.22%
15.56%5.56%2.78%2.78%2.78%—19.44%
25.56%8.33%8.33%—2.78%—25.00%
35.56%2.78%2.78%5.56%—5.56%22.22%
42.78%2.78%—2.78%——8.33%
5+—2.78%————2.78%
Total25.00%25.00%16.67%13.89%8.33%11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.89 1.97 -0.08
SD 1.55 1.84 2.57
CV 0.82 0.93 —
Max 7 6 +6
Min 0 0 -6

Games Played: 36

↓ Scored | Allowed →012345+Total
013.89%2.78%8.33%———25.00%
18.33%5.56%5.56%———19.44%
28.33%5.56%11.11%—2.78%—27.78%
38.33%2.78%———2.78%13.89%
45.56%—5.56%———11.11%
5+——2.78%———2.78%
Total44.44%16.67%33.33%—2.78%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.75 1.11 +0.64
SD 1.42 1.33 1.78
CV 0.81 1.19 —
Max 5 6 +4
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%2.78%5.56%2.78%5.56%2.78%22.22%
12.78%16.67%5.56%5.56%2.78%—33.33%
25.56%2.78%11.11%——2.78%22.22%
35.56%—2.78%5.56%——13.89%
42.78%2.78%2.78%———8.33%
5+———————
Total19.44%25.00%27.78%13.89%8.33%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.83 -0.31
SD 1.23 1.42 2.12
CV 0.81 0.78 —
Max 4 5 +4
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%—2.78%2.78%——8.33%
18.33%8.33%8.33%2.78%——27.78%
2—5.56%2.78%———8.33%
32.78%5.56%2.78%———11.11%
48.33%5.56%————13.89%
5+13.89%13.89%—2.78%——30.56%
Total36.11%38.89%16.67%8.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 3.06 0.97 +2.08
SD 2.14 0.94 2.57
CV 0.70 0.97 —
Max 8 3 +7
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
0—2.78%8.33%2.78%——13.89%
111.11%13.89%11.11%—5.56%—41.67%
25.56%8.33%11.11%5.56%2.78%—33.33%
3—5.56%————5.56%
4—2.78%————2.78%
5+2.78%—————2.78%
Total19.44%33.33%30.56%8.33%8.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.53 +0.00
SD 1.18 1.16 1.84
CV 0.77 0.76 —
Max 6 4 +6
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%13.89%2.78%5.56%5.56%5.56%38.89%
1—22.22%5.56%2.78%——30.56%
2—5.56%2.78%5.56%——13.89%
3—2.78%—8.33%——11.11%
42.78%—————2.78%
5+———2.78%——2.78%
Total8.33%44.44%11.11%25.00%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.94 -0.78
SD 1.30 1.41 1.94
CV 1.11 0.73 —
Max 5 6 +4
Min 0 0 -6

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%—5.56%8.33%8.33%5.56%33.33%
15.56%16.67%2.78%8.33%—8.33%41.67%
2—11.11%————11.11%
32.78%—2.78%2.78%——8.33%
4———————
5+——2.78%2.78%——5.56%
Total13.89%27.78%13.89%22.22%8.33%13.89%100%

Summary Statistics

Scored Allowed Difference
Mean 1.19 2.33 -1.14
SD 1.39 1.84 2.47
CV 1.16 0.79 —
Max 6 8 +3
Min 0 0 -7

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%11.11%2.78%8.33%—2.78%27.78%
12.78%13.89%8.33%2.78%5.56%—33.33%
22.78%8.33%5.56%2.78%——19.44%
3—5.56%2.78%—2.78%—11.11%
42.78%2.78%2.78%———8.33%
5+———————
Total11.11%41.67%22.22%13.89%8.33%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.39 1.75 -0.36
SD 1.25 1.25 1.91
CV 0.90 0.71 —
Max 4 5 +4
Min 0 0 -5

Games Played: 36

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Salzburg 1894 80 77.24 +2.76 67.0% 53 65 72 77 83 90 100
Austria Wien 1784 53 64.78 -11.78 6.3% 39 53 59 65 70 78 90
Rapid Wien 1774 62 58.78 +3.22 67.6% 35 46 53 59 64 71 83
Sturm Graz 1664 48 43.44 +4.56 76.4% 23 31 39 43 48 56 66
Grodig 1646 54 46.58 +7.42 85.5% 22 34 41 46 52 59 70
Ried 1643 43 48.23 -5.23 26.3% 22 36 43 48 53 61 72
Wolfsberg 1637 41 44.85 -3.85 31.8% 22 33 40 45 50 57 65
Admira Wacker 1614 42 33.80 +8.20 70.7% 14 23 29 34 39 46 57
Wacker Innsbruck 1556 29 35.47 -6.47 20.3% 15 24 30 35 40 48 61
Wiener Neustadter 1552 39 36.25 +2.75 68.4% 14 25 31 36 41 48 61

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
+11.67%
Slight Edge
42.22%27.22%30.56%
Elo Value
Home Edge
140 Elo
0.007 goals per Elo point
040.72400
Scoring Tilt
Expected
+0.41 goals
Neutral
-2+0.29+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
1.4
One-Team Race
124610
Champion Preseason Odds
83%
Salzburg, 1st of 10
LongshotFavorite
Title Margin
Expected
0.50/gm
Comfortable
00.330.8/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.86 * Some Luck: 5.86 to 8.79 * Lucky: 8.79 to 11.72 * Wild Swing: 11.72 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 0.91 * Close: 0.91 to 1.37 * Off: 1.37 to 1.82 * Way Off: 1.82 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
5.77 points
As Expected
07.3318
Average Finish Error
Expected
1.60
Off
01.142.5
Biggest Overachiever
Expected 95.00%
85.50%
Grodig
50100
Biggest Underachiever
Expected 5.00%
6.30%
Austria Wien
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
0.15
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.58
Moderate Separation
01.003
Interquartile Edge
67%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
88%
Strong Edge
50%89%100%
Close Games
Expected
56%
Very Frequent
0%48%100%
Blowouts
Expected
27%
Very Frequent
0%28%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
0.62
Hard to Predict
00.602
Matchup Imbalance
0.36
Lopsided
00.10.180.280.5
Strangeness
Expected
0.60
Very Predictable
01.002
Repeatability
0.81
Strong Carryover
00.30.60.851
Upset Rate
Expected
25%
As Expected
0%23%50%
Clear Favorite Upset Rate
Expected
24%
As Expected
0%20%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.26 * Well Above Noise: 0.26 and up.
Probability calibration
0.47
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.79
Overconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.090
Well Within Noise
00.1280.3

Final Table Odds

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

Team12345678910
Salzburg82.90%15.00%1.70%0.20%0.20%—————
Rapid Wien3.50%27.10%42.40%14.90%6.80%3.10%1.70%0.30%0.20%—
Grodig—1.70%9.60%20.10%20.00%17.70%13.90%9.10%4.80%3.10%
Austria Wien13.10%51.30%25.10%7.10%2.50%0.70%0.10%—0.10%—
Sturm Graz0.10%1.10%4.40%12.10%17.90%19.60%17.40%14.50%7.70%5.20%
Ried0.40%2.80%9.80%24.40%22.40%16.60%11.60%7.40%3.00%1.60%
Admira Wacker——0.40%1.70%2.40%5.70%12.30%17.20%26.00%34.30%
Wolfsberg—0.90%5.50%15.10%18.90%21.60%15.90%12.30%6.70%3.10%
Wiener Neustadter——0.70%2.10%4.00%8.70%15.40%19.70%24.80%24.60%
Wacker Innsbruck—0.10%0.40%2.30%4.90%6.30%11.70%19.50%26.70%28.10%

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
Austria Wien 100% —
Rapid Wien 100% —
Salzburg 100% —
Ried 98.40% 1.60%
Grodig 96.90% 3.10%
Wolfsberg 96.90% 3.10%
Sturm Graz 94.80% 5.20%
Wiener Neustadter 75.40% 24.60%
Wacker Innsbruck 71.90% 28.10%
Admira Wacker 65.70% 34.30%

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
2013-07-20 Admira Wacker W 2-050.1 1785 1613 63.59% 21.10% 15.31%+1.52 +4.1 3
2013-07-20 @ Austria Wien L 0-250.1 1613 1785 15.31% 21.10% 63.59%-1.52 -4.1 0
2013-07-20 Rapid Wien D 2-274.5 1661 1731 31.56% 28.69% 39.76%-0.21 +0.2 1
2013-07-20 @ Wolfsberg D 2-274.5 1731 1661 39.76% 28.69% 31.56%+0.21 -0.2 1
2013-07-20 Ried D 0-064.7 1635 1667 36.78% 28.85% 34.36%+0.06 -0.1 1
2013-07-20 @ Grodig D 0-064.7 1667 1635 34.36% 28.85% 36.78%-0.06 +0.1 1
2013-07-20 Salzburg L 1-553.2 1609 1826 17.57% 23.21% 59.22%-1.25 -7.6 0
2013-07-20 @ Wiener Neustadter W 5-153.2 1826 1609 59.22% 23.21% 17.57%+1.25 +7.6 3
2013-07-21 Sturm Graz D 2-272.5 1603 1633 37.13% 28.84% 34.03%+0.08 -0.1 1
2013-07-21 @ Wacker Innsbruck D 2-272.5 1633 1603 34.03% 28.84% 37.13%-0.08 +0.1 1
2013-07-27 Austria Wien W 5-157.2 1834 1789 47.51% 27.40% 25.10%+0.61 +10.9 6
2013-07-27 @ Salzburg L 1-557.2 1789 1834 25.10% 27.40% 47.51%-0.61 -10.9 3
2013-07-27 Wacker Innsbruck L 1-265.2 1609 1603 42.23% 28.41% 29.36%+0.33 -5.1 0
2013-07-27 @ Admira Wacker W 2-165.2 1603 1609 29.36% 28.41% 42.23%-0.33 +5.1 4
2013-07-27 Wiener Neustadter W 4-048.3 1731 1602 58.51% 23.53% 17.96%+1.21 +9.4 4
2013-07-27 @ Rapid Wien L 0-448.3 1602 1731 17.96% 23.53% 58.51%-1.21 -9.4 0
2013-07-27 Wolfsberg W 1-058.5 1667 1661 42.22% 28.41% 29.37%+0.33 +4.2 4
2013-07-27 @ Ried L 0-158.5 1661 1667 29.37% 28.41% 42.22%-0.33 -4.2 1
2013-07-28 Grodig L 0-258.7 1633 1635 41.10% 28.55% 30.35%+0.28 -10.1 1
2013-07-28 @ Sturm Graz W 2-058.7 1635 1633 30.35% 28.55% 41.10%-0.28 +10.1 4
2013-08-03 Admira Wacker W 7-153.5 1645 1604 47.07% 27.50% 25.43%+0.58 +15.9 7
2013-08-03 @ Grodig L 1-753.5 1604 1645 25.43% 27.50% 47.07%-0.58 -16.0 0
2013-08-03 Ried D 3-380.3 1778 1672 55.70% 24.72% 19.58%+1.05 -0.6 4
2013-08-03 @ Austria Wien D 3-380.3 1672 1778 19.58% 24.72% 55.70%-1.05 +0.6 5
2013-08-03 Salzburg D 1-171.7 1608 1844 16.32% 22.10% 61.58%-1.39 +1.3 5
2013-08-03 @ Wacker Innsbruck D 1-171.7 1844 1608 61.58% 22.10% 16.32%+1.39 -1.3 7
2013-08-03 Wolfsberg W 2-165.0 1592 1657 32.21% 28.74% 39.04%-0.17 +4.8 3
2013-08-03 @ Wiener Neustadter L 1-265.0 1657 1592 39.04% 28.74% 32.21%+0.17 -4.9 1
2013-08-04 Rapid Wien L 2-464.4 1623 1740 25.95% 27.66% 46.39%-0.55 -5.5 1
2013-08-04 @ Sturm Graz W 4-264.4 1740 1623 46.39% 27.66% 25.95%+0.55 +5.5 7
2013-08-10 Grodig W 4-153.3 1843 1661 64.78% 20.49% 14.74%+1.59 +4.8 10
2013-08-10 @ Salzburg L 1-453.3 1661 1843 14.74% 20.49% 64.78%-1.59 -4.8 7
2013-08-10 Sturm Graz D 1-166.8 1588 1617 37.19% 28.84% 33.97%+0.08 -0.1 1
2013-08-10 @ Admira Wacker D 1-166.8 1617 1588 33.97% 28.84% 37.19%-0.08 +0.1 2
2013-08-10 Wacker Innsbruck D 1-168.3 1652 1609 47.32% 27.44% 25.23%+0.60 -0.6 2
2013-08-10 @ Wolfsberg D 1-168.3 1609 1652 25.23% 27.44% 47.32%-0.60 +0.6 6
2013-08-10 Wiener Neustadter D 1-168.8 1672 1597 51.61% 26.22% 22.18%+0.83 -0.8 6
2013-08-10 @ Ried D 1-168.8 1597 1672 22.18% 26.22% 51.61%-0.83 +0.8 4
2013-08-11 Austria Wien D 0-066.2 1746 1778 36.84% 28.85% 34.31%+0.06 -0.1 8
2013-08-11 @ Rapid Wien D 0-066.2 1778 1746 34.31% 28.85% 36.84%-0.06 +0.1 5
2013-08-17 Ried L 2-368.6 1610 1671 32.70% 28.78% 38.52%-0.15 -4.0 6
2013-08-17 @ Wacker Innsbruck W 3-268.6 1671 1610 38.52% 28.78% 32.70%+0.15 +4.0 9
2013-08-17 Salzburg D 1-171.7 1618 1848 16.68% 22.43% 60.89%-1.35 +1.2 3
2013-08-17 @ Sturm Graz D 1-171.7 1848 1618 60.89% 22.43% 16.68%+1.35 -1.2 11
2013-08-17 Wiener Neustadter W 5-047.0 1778 1598 64.52% 20.62% 14.86%+1.57 +9.3 8
2013-08-17 @ Austria Wien L 0-547.0 1598 1778 14.86% 20.62% 64.52%-1.57 -9.3 4
2013-08-17 Wolfsberg W 4-371.2 1656 1652 42.00% 28.44% 29.56%+0.32 +3.6 10
2013-08-17 @ Grodig L 3-471.2 1652 1656 29.56% 28.44% 42.00%-0.32 -3.6 2
2013-08-18 Rapid Wien W 2-062.0 1588 1746 22.05% 26.15% 51.79%-0.84 +12.0 4
2013-08-18 @ Admira Wacker L 0-262.0 1746 1588 51.79% 26.15% 22.05%+0.84 -12.0 8
2013-08-24 Austria Wien L 1-457.7 1648 1787 23.78% 26.92% 49.29%-0.70 -8.0 2
2013-08-24 @ Wolfsberg W 4-157.7 1787 1648 49.29% 26.92% 23.78%+0.70 +8.0 11
2013-08-24 Sturm Graz W 3-051.5 1675 1619 49.17% 26.96% 23.87%+0.69 +9.6 12
2013-08-24 @ Ried L 0-351.5 1619 1675 23.87% 26.96% 49.17%-0.69 -9.6 3
2013-08-24 Wacker Innsbruck D 1-166.6 1589 1606 38.91% 28.75% 32.34%+0.17 -0.2 5
2013-08-24 @ Wiener Neustadter D 1-166.6 1606 1589 32.34% 28.75% 38.91%-0.17 +0.2 7
2013-08-25 Admira Wacker W 1-050.5 1847 1600 71.81% 16.63% 11.56%+2.05 +1.5 14
2013-08-25 @ Salzburg L 0-150.5 1600 1847 11.56% 16.63% 71.81%-2.05 -1.5 4
2013-08-25 Grodig L 0-165.1 1734 1660 51.48% 26.26% 22.27%+0.82 -6.3 8
2013-08-25 @ Rapid Wien W 1-065.1 1660 1734 22.27% 26.26% 51.48%-0.82 +6.3 13
2013-08-31 Ried L 1-458.5 1598 1685 29.47% 28.43% 42.10%-0.33 -9.6 4
2013-08-31 @ Admira Wacker W 4-158.5 1685 1598 42.10% 28.43% 29.47%+0.33 +9.6 15
2013-08-31 Wacker Innsbruck D 1-172.0 1795 1606 65.55% 20.08% 14.37%+1.64 -1.4 12
2013-08-31 @ Austria Wien D 1-172.0 1606 1795 14.37% 20.08% 65.55%-1.64 +1.4 8
2013-08-31 Wiener Neustadter L 3-668.9 1666 1588 51.96% 26.10% 21.94%+0.84 -11.8 13
2013-08-31 @ Grodig W 6-368.9 1588 1666 21.94% 26.10% 51.96%-0.84 +11.8 8
2013-08-31 Wolfsberg W 4-159.5 1609 1640 36.98% 28.85% 34.18%+0.07 +10.8 6
2013-08-31 @ Sturm Graz L 1-459.5 1640 1609 34.18% 28.85% 36.98%-0.07 -10.8 2
2013-09-01 Rapid Wien D 1-171.5 1848 1728 57.44% 24.00% 18.56%+1.15 -1.1 15
2013-09-01 @ Salzburg D 1-171.5 1728 1848 18.56% 24.00% 57.44%-1.15 +1.1 9
2013-09-14 Admira Wacker W 3-157.9 1629 1589 47.00% 27.52% 25.48%+0.58 +6.0 5
2013-09-14 @ Wolfsberg L 1-357.9 1589 1629 25.48% 27.52% 47.00%-0.58 -6.0 4
2013-09-14 Grodig L 2-376.5 1794 1654 59.73% 22.98% 17.30%+1.28 -6.3 12
2013-09-14 @ Austria Wien W 3-276.5 1654 1794 17.30% 22.98% 59.73%-1.28 +6.3 16
2013-09-14 Rapid Wien L 0-451.8 1608 1729 25.58% 27.55% 46.87%-0.57 -13.3 8
2013-09-14 @ Wacker Innsbruck W 4-051.8 1729 1608 46.87% 27.55% 25.58%+0.57 +13.3 12
2013-09-14 Sturm Graz L 1-362.2 1600 1620 38.58% 28.77% 32.65%+0.15 -8.3 8
2013-09-14 @ Wiener Neustadter W 3-162.2 1620 1600 32.65% 28.77% 38.58%-0.15 +8.3 9
2013-09-15 Salzburg L 0-551.8 1695 1847 22.52% 26.38% 51.10%-0.80 -14.6 15
2013-09-15 @ Ried W 5-051.8 1847 1695 51.10% 26.38% 22.52%+0.80 +14.6 18
2013-09-21 Austria Wien L 1-260.9 1628 1787 21.95% 26.10% 51.95%-0.84 -3.0 9
2013-09-21 @ Sturm Graz W 2-160.9 1787 1628 51.95% 26.10% 21.95%+0.84 +3.0 15
2013-09-21 Wacker Innsbruck D 3-377.8 1661 1594 50.47% 26.58% 22.96%+0.76 -0.5 17
2013-09-21 @ Grodig D 3-377.8 1594 1661 22.96% 26.58% 50.47%-0.76 +0.5 9
2013-09-21 Wiener Neustadter L 0-354.6 1583 1592 40.08% 28.66% 31.26%+0.22 -14.3 4
2013-09-21 @ Admira Wacker W 3-054.6 1592 1583 31.26% 28.66% 40.08%-0.22 +14.3 11
2013-09-22 Ried W 2-054.4 1742 1680 49.87% 26.76% 23.37%+0.73 +6.5 15
2013-09-22 @ Rapid Wien L 0-254.4 1680 1742 23.37% 26.76% 49.87%-0.73 -6.5 15
2013-09-22 Wolfsberg D 2-278.3 1862 1635 69.67% 17.84% 12.49%+1.90 -1.2 19
2013-09-22 @ Salzburg D 2-278.3 1635 1862 12.49% 17.84% 69.67%-1.90 +1.2 6
2013-09-28 Austria Wien W 1-066.3 1568 1790 17.22% 22.91% 59.87%-1.29 +7.1 7
2013-09-28 @ Admira Wacker L 0-166.3 1790 1568 59.87% 22.91% 17.22%+1.29 -7.1 15
2013-09-28 Grodig W 4-265.1 1674 1660 43.25% 28.26% 28.49%+0.39 +5.9 18
2013-09-28 @ Ried L 2-465.1 1660 1674 28.49% 28.26% 43.25%-0.39 -5.9 17
2013-09-28 Wacker Innsbruck W 1-055.8 1625 1595 45.62% 27.82% 26.55%+0.51 +3.8 12
2013-09-28 @ Sturm Graz L 0-155.8 1595 1625 26.55% 27.82% 45.62%-0.51 -3.8 9
2013-09-28 Wolfsberg L 2-472.7 1748 1637 56.32% 24.47% 19.21%+1.09 -9.9 15
2013-09-28 @ Rapid Wien W 4-272.7 1637 1748 19.21% 24.47% 56.32%-1.09 +9.9 9
2013-09-29 Wiener Neustadter W 8-147.7 1861 1606 72.57% 16.19% 11.23%+2.10 +7.4 22
2013-09-29 @ Salzburg L 1-847.7 1606 1861 11.23% 16.19% 72.57%-2.10 -7.4 11
2013-10-05 Admira Wacker D 3-375.5 1591 1575 43.55% 28.21% 28.24%+0.40 -0.2 10
2013-10-05 @ Wacker Innsbruck D 3-375.5 1575 1591 28.24% 28.21% 43.55%-0.40 +0.2 8
2013-10-05 Ried D 1-168.7 1646 1679 36.68% 28.85% 34.47%+0.06 -0.0 10
2013-10-05 @ Wolfsberg D 1-168.7 1679 1646 34.47% 28.85% 36.68%-0.06 +0.0 19
2013-10-05 Sturm Graz L 0-162.5 1654 1629 44.90% 27.97% 27.13%+0.47 -5.7 17
2013-10-05 @ Grodig W 1-062.5 1629 1654 27.13% 27.97% 44.90%-0.47 +5.7 15
2013-10-06 Rapid Wien D 0-065.7 1599 1738 23.73% 26.90% 49.37%-0.70 +0.8 12
2013-10-06 @ Wiener Neustadter D 0-065.7 1738 1599 49.37% 26.90% 23.73%+0.70 -0.8 16
2013-10-06 Salzburg L 1-264.6 1783 1868 29.70% 28.46% 41.84%-0.31 -4.0 15
2013-10-06 @ Austria Wien W 2-164.6 1868 1783 41.84% 28.46% 29.70%+0.31 +4.0 25
2013-10-19 Austria Wien D 1-169.9 1680 1779 27.90% 28.14% 43.96%-0.42 +0.4 20
2013-10-19 @ Ried D 1-169.9 1779 1680 43.96% 28.14% 27.90%+0.42 -0.4 16
2013-10-19 Grodig L 0-452.2 1576 1649 31.19% 28.65% 40.16%-0.23 -15.6 8
2013-10-19 @ Admira Wacker W 4-052.2 1649 1576 40.16% 28.65% 31.19%+0.23 +15.6 20
2013-10-19 Wacker Innsbruck W 6-044.7 1872 1591 75.23% 14.66% 10.11%+2.29 +6.8 28
2013-10-19 @ Salzburg L 0-644.7 1591 1872 10.11% 14.66% 75.23%-2.29 -6.8 10
2013-10-19 Wiener Neustadter D 1-168.1 1646 1600 47.85% 27.31% 24.84%+0.62 -0.6 11
2013-10-19 @ Wolfsberg D 1-168.1 1600 1646 24.84% 27.31% 47.85%-0.62 +0.6 13
2013-10-20 Sturm Graz D 2-275.5 1738 1635 55.20% 24.92% 19.88%+1.02 -0.7 17
2013-10-20 @ Rapid Wien D 2-275.5 1635 1738 19.88% 24.92% 55.20%-1.02 +0.7 16
2013-10-26 Admira Wacker L 0-259.7 1635 1560 51.65% 26.20% 22.15%+0.83 -12.0 16
2013-10-26 @ Sturm Graz W 2-059.7 1560 1635 22.15% 26.20% 51.65%-0.83 +12.0 11
2013-10-26 Ried D 3-377.6 1600 1680 30.32% 28.55% 41.13%-0.28 +0.2 14
2013-10-26 @ Wiener Neustadter D 3-377.6 1680 1600 41.13% 28.55% 30.32%+0.28 -0.2 21
2013-10-26 Wolfsberg L 1-262.7 1584 1646 32.62% 28.77% 38.61%-0.15 -4.2 10
2013-10-26 @ Wacker Innsbruck W 2-162.7 1646 1584 38.61% 28.77% 32.62%+0.15 +4.2 14
2013-10-27 Rapid Wien L 0-164.7 1779 1737 47.20% 27.47% 25.33%+0.59 -5.9 16
2013-10-27 @ Austria Wien W 1-064.7 1737 1779 25.33% 27.47% 47.20%-0.59 +5.9 20
2013-10-27 Salzburg L 0-350.2 1664 1879 17.71% 23.33% 58.97%-1.24 -7.1 20
2013-10-27 @ Grodig W 3-050.2 1879 1664 58.97% 23.33% 17.71%+1.24 +7.1 31
2013-11-02 Admira Wacker W 4-258.8 1743 1572 63.45% 21.17% 15.38%+1.51 +3.2 23
2013-11-02 @ Rapid Wien L 2-458.8 1572 1743 15.38% 21.17% 63.45%-1.51 -3.2 11
2013-11-02 Grodig D 1-168.6 1650 1657 40.38% 28.63% 30.99%+0.24 -0.2 15
2013-11-02 @ Wolfsberg D 1-168.6 1657 1650 30.99% 28.63% 40.38%-0.24 +0.2 21
2013-11-02 Sturm Graz W 1-050.3 1886 1624 73.38% 15.73% 10.89%+2.16 +1.4 34
2013-11-02 @ Salzburg L 0-150.3 1624 1886 10.89% 15.73% 73.38%-2.16 -1.4 16
2013-11-02 Wacker Innsbruck W 4-048.4 1680 1580 54.85% 25.06% 20.10%+1.00 +10.6 24
2013-11-02 @ Ried L 0-448.4 1580 1680 20.10% 25.06% 54.85%-1.00 -10.6 10
2013-11-03 Austria Wien L 0-351.0 1600 1773 20.81% 25.49% 53.70%-0.94 -8.4 14
2013-11-03 @ Wiener Neustadter W 3-051.0 1773 1600 53.70% 25.49% 20.81%+0.94 +8.4 19
2013-11-09 Wiener Neustadter W 4-051.4 1569 1592 38.12% 28.80% 33.08%+0.13 +16.3 13
2013-11-09 @ Wacker Innsbruck L 0-451.4 1592 1569 33.08% 28.80% 38.12%-0.13 -16.3 14
2013-11-09 Wolfsberg W 1-054.3 1781 1650 58.78% 23.41% 17.81%+1.23 +2.6 22
2013-11-09 @ Austria Wien L 0-154.3 1650 1781 17.81% 23.41% 58.78%-1.23 -2.6 15
2013-11-10 Rapid Wien D 2-274.6 1657 1746 29.21% 28.39% 42.40%-0.34 +0.2 22
2013-11-10 @ Grodig D 2-274.6 1746 1657 42.40% 28.39% 29.21%+0.34 -0.2 24
2013-11-10 Salzburg W 3-171.0 1569 1887 12.01% 17.21% 70.78%-1.98 +13.0 14
2013-11-10 @ Admira Wacker L 1-371.0 1887 1569 70.78% 17.21% 12.01%+1.98 -13.0 34
2013-11-23 Admira Wacker D 2-274.4 1690 1582 55.89% 24.64% 19.46%+1.06 -0.8 25
2013-11-23 @ Ried D 2-274.4 1582 1690 19.46% 24.64% 55.89%-1.06 +0.8 15
2013-11-23 Austria Wien L 0-549.2 1585 1784 18.82% 24.19% 57.00%-1.13 -12.2 13
2013-11-23 @ Wacker Innsbruck W 5-049.2 1784 1585 57.00% 24.19% 18.82%+1.13 +12.2 25
2013-11-23 Grodig L 0-254.7 1576 1658 30.05% 28.51% 41.44%-0.29 -8.0 14
2013-11-23 @ Wiener Neustadter W 2-054.7 1658 1576 41.44% 28.51% 30.05%+0.29 +8.0 25
2013-11-24 Salzburg W 2-169.7 1746 1874 24.82% 27.30% 47.87%-0.63 +5.6 27
2013-11-24 @ Rapid Wien L 1-269.7 1874 1746 47.87% 27.30% 24.82%+0.63 -5.7 34
2013-11-27 Ried W 2-058.8 1622 1690 31.88% 28.72% 39.40%-0.19 +9.8 19
2013-11-27 @ Sturm Graz L 0-258.8 1690 1622 39.40% 28.72% 31.88%+0.19 -9.7 25
2013-11-30 Austria Wien W 1-064.7 1666 1796 24.61% 27.23% 48.16%-0.64 +6.0 28
2013-11-30 @ Grodig L 0-164.7 1796 1666 48.16% 27.23% 24.61%+0.64 -6.0 25
2013-11-30 Wiener Neustadter L 2-371.7 1632 1568 50.17% 26.67% 23.17%+0.75 -5.6 19
2013-11-30 @ Sturm Graz W 3-271.7 1568 1632 23.17% 26.67% 50.17%-0.75 +5.5 17
2013-11-30 Wolfsberg W 3-055.5 1583 1647 32.27% 28.75% 38.98%-0.17 +14.0 18
2013-11-30 @ Admira Wacker L 0-355.5 1647 1583 38.98% 28.75% 32.27%+0.17 -14.0 15
2013-12-01 Ried W 4-047.4 1869 1680 65.52% 20.09% 14.38%+1.64 +7.2 37
2013-12-01 @ Salzburg L 0-447.4 1680 1869 14.38% 20.09% 65.52%-1.64 -7.2 25
2013-12-01 Wacker Innsbruck W 3-047.3 1751 1573 64.32% 20.72% 14.96%+1.56 +5.8 30
2013-12-01 @ Rapid Wien L 0-347.3 1573 1751 14.96% 20.72% 64.32%-1.56 -5.8 13
2013-12-03 Sturm Graz W 3-262.7 1790 1626 62.65% 21.57% 15.78%+1.46 +2.0 28
2013-12-03 @ Austria Wien L 2-362.7 1626 1790 15.78% 21.57% 62.65%-1.46 -2.0 19
2013-12-04 Admira Wacker W 1-056.9 1573 1597 38.04% 28.80% 33.15%+0.12 +4.6 20
2013-12-04 @ Wiener Neustadter L 0-156.9 1597 1573 33.15% 28.80% 38.04%-0.12 -4.6 18
2013-12-04 Grodig W 5-370.8 1567 1672 27.40% 28.03% 44.56%-0.45 +7.8 16
2013-12-04 @ Wacker Innsbruck L 3-570.8 1672 1567 44.56% 28.03% 27.40%+0.45 -7.8 28
2013-12-04 Rapid Wien W 2-060.5 1673 1757 29.70% 28.46% 41.83%-0.31 +10.2 28
2013-12-04 @ Ried L 0-260.5 1757 1673 41.83% 28.46% 29.70%+0.31 -10.2 30
2013-12-04 Salzburg L 1-258.2 1633 1876 15.94% 21.73% 62.34%-1.44 -2.2 15
2013-12-04 @ Wolfsberg W 2-158.2 1876 1633 62.34% 21.73% 15.94%+1.44 +2.2 40
2013-12-07 Admira Wacker D 2-277.2 1792 1592 66.79% 19.42% 13.79%+1.72 -1.1 29
2013-12-07 @ Austria Wien D 2-277.2 1592 1792 13.79% 19.42% 66.79%-1.72 +1.1 19
2013-12-07 Ried W 3-055.2 1664 1683 38.68% 28.77% 32.55%+0.15 +12.3 31
2013-12-07 @ Grodig L 0-355.2 1683 1664 32.55% 28.77% 38.68%-0.15 -12.3 28
2013-12-07 Sturm Graz L 0-158.0 1575 1624 34.38% 28.85% 36.77%-0.06 -4.7 16
2013-12-07 @ Wacker Innsbruck W 1-058.0 1624 1575 36.77% 28.85% 34.38%+0.06 +4.7 22
2013-12-08 Rapid Wien W 2-168.4 1631 1747 26.11% 27.70% 46.19%-0.54 +5.5 18
2013-12-08 @ Wolfsberg L 1-268.4 1747 1631 46.19% 27.70% 26.11%+0.54 -5.5 30
2013-12-11 Sturm Graz W 2-162.2 1636 1629 42.44% 28.38% 29.18%+0.34 +3.9 21
2013-12-11 @ Wolfsberg L 1-262.2 1629 1636 29.18% 28.38% 42.44%-0.34 -3.9 22
2013-12-14 Grodig D 2-273.5 1625 1676 34.10% 28.84% 37.05%-0.07 +0.0 23
2013-12-14 @ Sturm Graz D 2-273.5 1676 1625 37.05% 28.84% 34.10%+0.07 -0.1 32
2013-12-14 Wacker Innsbruck W 3-050.3 1593 1571 44.56% 28.03% 27.41%+0.45 +10.8 22
2013-12-14 @ Admira Wacker L 0-350.3 1571 1593 27.41% 28.03% 44.56%-0.45 -10.8 16
2013-12-14 Wolfsberg L 1-365.5 1670 1640 45.57% 27.84% 26.60%+0.50 -9.4 28
2013-12-14 @ Ried W 3-165.5 1640 1670 26.60% 27.84% 45.57%-0.50 +9.4 24
2013-12-15 Austria Wien W 4-051.3 1878 1791 53.15% 25.69% 21.16%+0.91 +11.1 43
2013-12-15 @ Salzburg L 0-451.3 1791 1878 21.16% 25.69% 53.15%-0.91 -11.1 29
2013-12-15 Wiener Neustadter D 0-067.1 1742 1578 62.63% 21.58% 15.79%+1.46 -1.5 31
2013-12-15 @ Rapid Wien D 0-067.1 1578 1742 15.79% 21.58% 62.63%-1.46 +1.5 21
2013-12-17 Admira Wacker W 2-159.8 1676 1604 51.21% 26.35% 22.45%+0.80 +3.1 35
2013-12-17 @ Grodig L 1-259.8 1604 1676 22.45% 26.35% 51.21%-0.80 -3.1 22
2013-12-18 Rapid Wien W 2-061.1 1625 1740 26.22% 27.73% 46.05%-0.53 +11.0 26
2013-12-18 @ Sturm Graz L 0-261.1 1740 1625 46.05% 27.73% 26.22%+0.53 -11.0 31
2013-12-18 Ried D 1-171.0 1780 1661 57.21% 24.10% 18.70%+1.14 -1.1 30
2013-12-18 @ Austria Wien D 1-171.0 1661 1780 18.70% 24.10% 57.21%-1.14 +1.1 29
2013-12-18 Salzburg L 0-150.5 1560 1889 11.51% 16.57% 71.92%-2.06 -1.5 16
2013-12-18 @ Wacker Innsbruck W 1-050.5 1889 1560 71.92% 16.57% 11.51%+2.06 +1.5 46
2013-12-18 Wolfsberg D 1-167.3 1579 1650 31.49% 28.68% 39.83%-0.21 +0.2 22
2013-12-18 @ Wiener Neustadter D 1-167.3 1650 1579 39.83% 28.68% 31.49%+0.21 -0.2 25
2014-02-02 Salzburg L 1-550.1 1580 1891 12.34% 17.64% 70.02%-1.93 -5.0 22
2014-02-02 @ Wiener Neustadter W 5-150.1 1891 1580 70.02% 17.64% 12.34%+1.93 +5.0 49
2014-02-08 Grodig W 6-047.1 1896 1679 68.60% 18.43% 12.97%+1.83 +9.3 52
2014-02-08 @ Salzburg L 0-647.1 1679 1896 12.97% 18.43% 68.60%-1.83 -9.3 35
2014-02-08 Sturm Graz D 1-167.4 1601 1636 36.37% 28.86% 34.77%+0.04 -0.0 23
2014-02-08 @ Admira Wacker D 1-167.4 1636 1601 34.77% 28.86% 36.37%-0.04 +0.0 27
2014-02-08 Wacker Innsbruck W 3-262.7 1650 1558 53.73% 25.48% 20.79%+0.94 +2.7 28
2014-02-08 @ Wolfsberg L 2-362.7 1558 1650 20.79% 25.48% 53.73%-0.94 -2.7 16
2014-02-08 Wiener Neustadter W 2-158.5 1662 1575 53.24% 25.66% 21.11%+0.91 +2.9 32
2014-02-08 @ Ried L 1-258.5 1575 1662 21.11% 25.66% 53.24%-0.91 -2.9 22
2014-02-09 Austria Wien W 3-164.5 1729 1779 34.29% 28.85% 36.86%-0.06 +8.0 34
2014-02-09 @ Rapid Wien L 1-364.5 1779 1729 36.86% 28.85% 34.29%+0.06 -8.0 30
2014-02-15 Ried D 1-167.4 1555 1665 26.81% 27.89% 45.30%-0.49 +0.5 17
2014-02-15 @ Wacker Innsbruck D 1-167.4 1665 1555 45.30% 27.89% 26.81%+0.49 -0.5 33
2014-02-15 Salzburg L 1-453.3 1636 1905 14.46% 20.18% 65.37%-1.63 -4.7 27
2014-02-15 @ Sturm Graz W 4-153.3 1905 1636 65.37% 20.18% 14.46%+1.63 +4.7 55
2014-02-15 Wiener Neustadter D 1-171.7 1771 1572 66.70% 19.47% 13.83%+1.71 -1.5 31
2014-02-15 @ Austria Wien D 1-171.7 1572 1771 13.83% 19.47% 66.70%-1.71 +1.5 23
2014-02-15 Wolfsberg W 3-053.4 1670 1652 43.83% 28.16% 28.01%+0.41 +11.0 38
2014-02-15 @ Grodig L 0-353.4 1652 1670 28.01% 28.16% 43.83%-0.41 -11.0 28
2014-02-16 Rapid Wien W 2-168.7 1601 1737 24.05% 27.02% 48.93%-0.68 +5.7 26
2014-02-16 @ Admira Wacker L 1-268.7 1737 1601 48.93% 27.02% 24.05%+0.68 -5.7 34
2014-02-22 Austria Wien D 0-066.2 1641 1769 24.87% 27.32% 47.81%-0.62 +0.7 29
2014-02-22 @ Wolfsberg D 0-066.2 1769 1641 47.81% 27.32% 24.87%+0.62 -0.7 32
2014-02-22 Grodig D 0-066.2 1731 1681 48.37% 27.18% 24.46%+0.65 -0.7 35
2014-02-22 @ Rapid Wien D 0-066.2 1681 1731 24.46% 27.18% 48.37%-0.65 +0.7 39
2014-02-22 Sturm Graz D 2-273.8 1665 1631 45.99% 27.75% 26.26%+0.53 -0.4 34
2014-02-22 @ Ried D 2-273.8 1631 1665 26.26% 27.75% 45.99%-0.53 +0.4 28
2014-02-22 Wacker Innsbruck W 1-054.1 1573 1556 43.78% 28.17% 28.05%+0.41 +4.0 26
2014-02-22 @ Wiener Neustadter L 0-154.1 1556 1573 28.05% 28.17% 43.78%-0.41 -4.0 17
2014-02-23 Admira Wacker W 6-147.2 1910 1607 77.25% 13.48% 9.27%+2.45 +4.3 58
2014-02-23 @ Salzburg L 1-647.2 1607 1910 9.27% 13.48% 77.25%-2.45 -4.2 26
2014-03-01 Ried D 2-273.1 1602 1664 32.64% 28.77% 38.59%-0.15 +0.1 27
2014-03-01 @ Admira Wacker D 2-273.1 1664 1602 38.59% 28.77% 32.64%+0.15 -0.1 35
2014-03-01 Wacker Innsbruck W 2-155.1 1769 1552 68.62% 18.42% 12.96%+1.83 +1.7 35
2014-03-01 @ Austria Wien L 1-255.1 1552 1769 12.96% 18.42% 68.62%-1.83 -1.7 17
2014-03-01 Wiener Neustadter L 1-268.9 1682 1577 55.39% 24.84% 19.77%+1.03 -6.3 39
2014-03-01 @ Grodig W 2-168.9 1577 1682 19.77% 24.84% 55.39%-1.03 +6.3 29
2014-03-01 Wolfsberg L 1-461.5 1632 1642 39.93% 28.67% 31.40%+0.22 -12.1 28
2014-03-01 @ Sturm Graz W 4-161.5 1642 1632 31.40% 28.67% 39.93%-0.22 +12.0 32
2014-03-02 Rapid Wien W 6-358.5 1914 1731 64.89% 20.43% 14.68%+1.60 +3.8 61
2014-03-02 @ Salzburg L 3-658.5 1731 1914 14.68% 20.43% 64.89%-1.60 -3.8 35
2014-03-08 Admira Wacker L 2-372.5 1654 1603 48.50% 27.14% 24.36%+0.66 -5.4 32
2014-03-08 @ Wolfsberg W 3-272.5 1603 1654 24.36% 27.14% 48.50%-0.66 +5.4 30
2014-03-08 Grodig W 2-053.2 1770 1675 54.21% 25.30% 20.49%+0.97 +5.7 38
2014-03-08 @ Austria Wien L 0-253.2 1675 1770 20.49% 25.30% 54.21%-0.97 -5.7 39
2014-03-08 Salzburg L 1-355.9 1664 1918 15.29% 21.08% 63.63%-1.52 -3.6 35
2014-03-08 @ Ried W 3-155.9 1918 1664 63.63% 21.08% 15.29%+1.52 +3.6 64
2014-03-08 Sturm Graz W 2-162.9 1583 1620 36.20% 28.86% 34.94%+0.03 +4.5 32
2014-03-08 @ Wiener Neustadter L 1-262.9 1620 1583 34.94% 28.86% 36.20%-0.03 -4.5 28
2014-03-09 Rapid Wien D 1-169.2 1550 1727 20.49% 25.30% 54.21%-0.97 +0.9 18
2014-03-09 @ Wacker Innsbruck D 1-169.2 1727 1550 54.21% 25.30% 20.49%+0.97 -0.9 36
2014-03-15 Austria Wien D 1-170.2 1615 1776 21.81% 26.03% 52.16%-0.86 +0.8 29
2014-03-15 @ Sturm Graz D 1-170.2 1776 1615 52.16% 26.03% 21.81%+0.86 -0.8 39
2014-03-15 Ried W 1-056.6 1726 1660 50.35% 26.61% 23.04%+0.76 +3.4 39
2014-03-15 @ Rapid Wien L 0-156.6 1660 1726 23.04% 26.61% 50.35%-0.76 -3.4 35
2014-03-15 Wacker Innsbruck D 1-168.5 1670 1551 57.13% 24.13% 18.74%+1.13 -1.1 40
2014-03-15 @ Grodig D 1-168.5 1551 1670 18.74% 24.13% 57.13%-1.13 +1.1 19
2014-03-15 Wiener Neustadter W 3-051.2 1608 1588 44.18% 28.10% 27.72%+0.43 +10.9 33
2014-03-15 @ Admira Wacker L 0-351.2 1588 1608 27.72% 28.10% 44.18%-0.43 -10.9 32
2014-03-16 Wolfsberg W 5-044.8 1921 1649 74.39% 15.15% 10.46%+2.23 +6.0 67
2014-03-16 @ Salzburg L 0-544.8 1649 1921 10.46% 15.15% 74.39%-2.23 -6.0 32
2014-03-22 Austria Wien L 0-156.3 1619 1775 22.18% 26.22% 51.60%-0.82 -3.3 33
2014-03-22 @ Admira Wacker W 1-056.3 1775 1619 51.60% 26.22% 22.18%+0.82 +3.3 42
2014-03-22 Grodig L 1-462.2 1657 1668 39.77% 28.69% 31.54%+0.21 -12.0 35
2014-03-22 @ Ried W 4-162.2 1668 1657 31.54% 28.69% 39.77%-0.21 +12.0 43
2014-03-22 Wacker Innsbruck W 3-155.8 1616 1552 50.13% 26.68% 23.19%+0.75 +5.6 32
2014-03-22 @ Sturm Graz L 1-355.8 1552 1616 23.19% 26.68% 50.13%-0.75 -5.5 19
2014-03-22 Wolfsberg W 3-051.1 1729 1643 53.12% 25.70% 21.18%+0.91 +8.5 42
2014-03-22 @ Rapid Wien L 0-351.1 1643 1729 21.18% 25.70% 53.12%-0.91 -8.5 32
2014-03-23 Wiener Neustadter W 5-042.6 1927 1577 81.28% 11.10% 7.61%+2.79 +4.0 70
2014-03-23 @ Salzburg L 0-542.6 1577 1927 7.61% 11.10% 81.28%-2.79 -4.0 32
2014-03-25 Admira Wacker D 0-062.1 1547 1616 31.71% 28.70% 39.59%-0.20 +0.2 20
2014-03-25 @ Wacker Innsbruck D 0-062.1 1616 1547 39.59% 28.70% 31.71%+0.20 -0.2 34
2014-03-26 Rapid Wien L 0-350.6 1573 1738 21.45% 25.85% 52.70%-0.89 -8.6 32
2014-03-26 @ Wiener Neustadter W 3-050.6 1738 1573 52.70% 25.85% 21.45%+0.89 +8.6 45
2014-03-26 Ried L 0-258.5 1634 1645 39.83% 28.68% 31.49%+0.21 -9.8 32
2014-03-26 @ Wolfsberg W 2-058.5 1645 1634 31.49% 28.68% 39.83%-0.21 +9.8 38
2014-03-26 Salzburg W 3-061.4 1778 1931 22.50% 26.37% 51.13%-0.80 +17.2 45
2014-03-26 @ Austria Wien L 0-361.4 1931 1778 51.13% 26.37% 22.50%+0.80 -17.2 70
2014-03-26 Sturm Graz L 0-658.9 1680 1622 49.47% 26.87% 23.66%+0.71 -32.2 43
2014-03-26 @ Grodig W 6-058.9 1622 1680 23.66% 26.87% 49.47%-0.71 +32.2 35
2014-03-29 Grodig W 4-054.0 1615 1648 36.67% 28.85% 34.47%+0.05 +16.8 37
2014-03-29 @ Admira Wacker L 0-454.0 1648 1615 34.47% 28.85% 36.67%-0.05 -16.8 43
2014-03-29 Sturm Graz W 2-053.0 1747 1654 53.90% 25.42% 20.69%+0.95 +5.7 48
2014-03-29 @ Rapid Wien L 0-253.0 1654 1747 20.69% 25.42% 53.90%-0.95 -5.7 35
2014-03-29 Wacker Innsbruck D 0-071.6 1914 1547 82.59% 10.33% 7.08%+2.91 -2.3 71
2014-03-29 @ Salzburg D 0-071.6 1547 1914 7.08% 10.33% 82.59%-2.91 +2.3 21
2014-03-29 Wiener Neustadter W 4-048.6 1624 1564 49.62% 26.83% 23.55%+0.72 +12.3 35
2014-03-29 @ Wolfsberg L 0-448.6 1564 1624 23.55% 26.83% 49.62%-0.72 -12.3 32
2014-03-30 Austria Wien D 2-275.4 1655 1796 23.61% 26.85% 49.53%-0.71 +0.5 39
2014-03-30 @ Ried D 2-275.4 1796 1655 49.53% 26.85% 23.61%+0.71 -0.5 46
2014-04-05 Admira Wacker D 1-168.3 1648 1632 43.62% 28.20% 28.18%+0.40 -0.4 36
2014-04-05 @ Sturm Graz D 1-168.3 1632 1648 28.18% 28.20% 43.62%-0.40 +0.4 38
2014-04-05 Ried D 1-167.1 1552 1655 27.49% 28.05% 44.45%-0.45 +0.5 33
2014-04-05 @ Wiener Neustadter D 1-167.1 1655 1552 44.45% 28.05% 27.49%+0.45 -0.4 40
2014-04-05 Salzburg L 1-354.9 1632 1912 13.85% 19.49% 66.66%-1.71 -3.2 43
2014-04-05 @ Grodig W 3-154.9 1912 1632 66.66% 19.49% 13.85%+1.71 +3.2 74
2014-04-05 Wolfsberg L 0-156.1 1549 1637 29.36% 28.41% 42.23%-0.33 -4.2 21
2014-04-05 @ Wacker Innsbruck W 1-056.1 1637 1549 42.23% 28.41% 29.36%+0.33 +4.2 38
2014-04-06 Rapid Wien L 0-164.8 1795 1752 47.32% 27.44% 25.23%+0.60 -5.9 46
2014-04-06 @ Austria Wien W 1-064.8 1752 1795 25.23% 27.44% 47.32%-0.60 +5.9 51
2014-04-12 Admira Wacker D 0-067.1 1758 1632 58.05% 23.73% 18.22%+1.19 -1.2 52
2014-04-12 @ Rapid Wien D 0-067.1 1632 1758 18.22% 23.73% 58.05%-1.19 +1.2 39
2014-04-12 Grodig L 1-266.4 1641 1628 43.13% 28.28% 28.59%+0.38 -5.2 38
2014-04-12 @ Wolfsberg W 2-166.4 1628 1641 28.59% 28.28% 43.13%-0.38 +5.2 46
2014-04-12 Sturm Graz L 1-273.9 1915 1648 73.87% 15.45% 10.68%+2.20 -7.7 74
2014-04-12 @ Salzburg W 2-173.9 1648 1915 10.68% 15.45% 73.87%-2.20 +7.7 39
2014-04-12 Wacker Innsbruck L 1-267.9 1655 1545 56.09% 24.56% 19.35%+1.07 -6.4 40
2014-04-12 @ Ried W 2-167.9 1545 1655 19.35% 24.56% 56.09%-1.07 +6.4 24
2014-04-13 Austria Wien L 0-250.2 1552 1789 16.29% 22.07% 61.64%-1.40 -4.4 33
2014-04-13 @ Wiener Neustadter W 2-050.2 1789 1552 61.64% 22.07% 16.29%+1.40 +4.4 49
2014-04-19 Ried W 2-162.8 1655 1649 42.33% 28.40% 29.27%+0.34 +3.9 42
2014-04-19 @ Sturm Graz L 1-262.8 1649 1655 29.27% 28.40% 42.33%-0.34 -3.9 40
2014-04-19 Salzburg L 2-362.2 1634 1907 14.21% 19.90% 65.89%-1.66 -1.8 39
2014-04-19 @ Admira Wacker W 3-262.2 1907 1634 65.89% 19.90% 14.21%+1.66 +1.8 77
2014-04-19 Wiener Neustadter W 3-156.3 1551 1548 41.86% 28.46% 29.68%+0.31 +6.8 27
2014-04-19 @ Wacker Innsbruck L 1-356.3 1548 1551 29.68% 28.46% 41.86%-0.31 -6.8 33
2014-04-19 Wolfsberg W 3-155.9 1794 1636 61.96% 21.91% 16.13%+1.42 +3.8 52
2014-04-19 @ Austria Wien L 1-355.9 1636 1794 16.13% 21.91% 61.96%-1.42 -3.8 38
2014-04-20 Rapid Wien D 2-274.8 1634 1757 25.34% 27.47% 47.19%-0.59 +0.4 47
2014-04-20 @ Grodig D 2-274.8 1757 1634 47.19% 27.47% 25.34%+0.59 -0.4 53
2014-04-26 Admira Wacker W 3-053.0 1645 1632 43.17% 28.27% 28.56%+0.38 +11.1 43
2014-04-26 @ Ried L 0-353.0 1632 1645 28.56% 28.27% 43.17%-0.38 -11.2 39
2014-04-26 Austria Wien D 1-171.1 1558 1797 16.15% 21.93% 61.92%-1.41 +1.3 28
2014-04-26 @ Wacker Innsbruck D 1-171.1 1797 1558 61.92% 21.93% 16.15%+1.41 -1.3 53
2014-04-26 Grodig L 1-358.1 1541 1634 28.72% 28.30% 42.98%-0.37 -6.7 33
2014-04-26 @ Wiener Neustadter W 3-158.1 1634 1541 42.98% 28.30% 28.72%+0.37 +6.7 50
2014-04-26 Salzburg W 2-170.5 1757 1909 22.53% 26.39% 51.08%-0.80 +5.9 56
2014-04-26 @ Rapid Wien L 1-270.5 1909 1757 51.08% 26.39% 22.53%+0.80 -5.9 77
2014-04-27 Sturm Graz L 0-160.6 1632 1659 37.47% 28.83% 33.70%+0.09 -5.0 38
2014-04-27 @ Wolfsberg W 1-060.6 1659 1632 33.70% 28.83% 37.47%-0.09 +5.0 45
2014-05-04 Austria Wien W 2-169.9 1641 1796 22.26% 26.26% 51.48%-0.82 +6.0 53
2014-05-04 @ Grodig L 1-269.9 1796 1641 51.48% 26.26% 22.26%+0.82 -6.0 53
2014-05-04 Ried W 4-045.5 1903 1656 71.85% 16.61% 11.54%+2.05 +5.5 80
2014-05-04 @ Salzburg L 0-445.5 1656 1903 11.54% 16.61% 71.85%-2.05 -5.5 43
2014-05-04 Wacker Innsbruck W 2-048.4 1762 1560 67.11% 19.25% 13.65%+1.74 +3.6 59
2014-05-04 @ Rapid Wien L 0-248.4 1560 1762 13.65% 19.25% 67.11%-1.74 -3.6 28
2014-05-04 Wiener Neustadter L 1-268.3 1664 1535 58.55% 23.51% 17.94%+1.22 -6.6 45
2014-05-04 @ Sturm Graz W 2-168.3 1535 1664 17.94% 23.51% 58.55%-1.22 +6.6 36
2014-05-04 Wolfsberg W 1-057.9 1621 1627 40.52% 28.61% 30.86%+0.25 +4.3 42
2014-05-04 @ Admira Wacker L 0-157.9 1627 1621 30.86% 28.61% 40.52%-0.25 -4.3 38
2014-05-11 Grodig D 3-376.3 1556 1647 28.98% 28.35% 42.67%-0.36 +0.2 29
2014-05-11 @ Wacker Innsbruck D 3-376.3 1647 1556 42.67% 28.35% 28.98%+0.36 -0.2 54
2014-05-11 Rapid Wien L 2-561.9 1650 1766 26.15% 27.71% 46.14%-0.53 -7.6 43
2014-05-11 @ Ried W 5-261.9 1766 1650 46.14% 27.71% 26.15%+0.53 +7.6 62
2014-05-11 Salzburg W 2-065.7 1623 1909 13.56% 19.14% 67.30%-1.75 +14.6 41
2014-05-11 @ Wolfsberg L 0-265.7 1909 1623 67.30% 19.14% 13.56%+1.75 -14.5 80
2014-05-11 Sturm Graz L 1-271.3 1790 1658 58.89% 23.36% 17.75%+1.23 -6.6 53
2014-05-11 @ Austria Wien W 2-171.3 1658 1790 17.75% 23.36% 58.89%-1.23 +6.6 48
2014-05-12 Admira Wacker W 5-263.1 1541 1625 29.78% 28.47% 41.75%-0.31 +10.8 39
2014-05-12 @ Wiener Neustadter L 2-563.1 1625 1541 41.75% 28.47% 29.78%+0.31 -10.8 42

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 2014-04-12 10.68% Sturm Graz 1648 2 @ Salzburg 1915 1
2 2013-11-10 12.01% @ Admira Wacker 1569 3 Salzburg 1887 1
3 2014-05-11 13.56% @ Wolfsberg 1623 2 Salzburg 1909 0
4 2013-09-28 17.22% @ Admira Wacker 1568 1 Austria Wien 1790 0
5 2013-09-14 17.30% Grodig 1654 3 @ Austria Wien 1794 2
6 2014-05-11 17.75% Sturm Graz 1658 2 @ Austria Wien 1790 1
7 2014-05-04 17.94% Wiener Neustadter 1535 2 @ Sturm Graz 1664 1
8 2013-09-28 19.21% Wolfsberg 1637 4 @ Rapid Wien 1748 2
9 2014-04-12 19.35% Wacker Innsbruck 1545 2 @ Ried 1655 1
10 2014-03-01 19.77% Wiener Neustadter 1577 2 @ Grodig 1682 1
11 2013-08-31 21.94% Wiener Neustadter 1588 6 @ Grodig 1666 3
12 2013-08-18 22.05% @ Admira Wacker 1588 2 Rapid Wien 1746 0
13 2013-10-26 22.15% Admira Wacker 1560 2 @ Sturm Graz 1635 0
14 2014-05-04 22.26% @ Grodig 1641 2 Austria Wien 1796 1
15 2013-08-25 22.27% Grodig 1660 1 @ Rapid Wien 1734 0
16 2014-03-26 22.50% @ Austria Wien 1778 3 Salzburg 1931 0
17 2014-04-26 22.53% @ Rapid Wien 1757 2 Salzburg 1909 1
18 2013-11-30 23.17% Wiener Neustadter 1568 3 @ Sturm Graz 1632 2
19 2014-03-26 23.66% Sturm Graz 1622 6 @ Grodig 1680 0
20 2014-02-16 24.05% @ Admira Wacker 1601 2 Rapid Wien 1737 1
21 2014-03-08 24.36% Admira Wacker 1603 3 @ Wolfsberg 1654 2
22 2013-11-30 24.61% @ Grodig 1666 1 Austria Wien 1796 0
23 2013-11-24 24.82% @ Rapid Wien 1746 2 Salzburg 1874 1
24 2014-04-06 25.23% Rapid Wien 1752 1 @ Austria Wien 1795 0
25 2013-10-27 25.33% Rapid Wien 1737 1 @ Austria Wien 1779 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 2014-03-26 32.16 Sturm Graz 6 1622 23.66% @ Grodig 0 1680 49.47% 26.87%
2 2014-03-26 17.25 @ Austria Wien 3 1778 22.50% Salzburg 0 1931 51.13% 26.37%
3 2014-03-29 16.79 @ Admira Wacker 4 1615 36.67% Grodig 0 1648 34.47% 28.85%
4 2013-11-09 16.30 @ Wacker Innsbruck 4 1569 38.12% Wiener Neustadter 0 1592 33.08% 28.80%
5 2013-08-03 15.95 @ Grodig 7 1645 47.07% Admira Wacker 1 1604 25.43% 27.50%
6 2013-10-19 15.60 Grodig 4 1649 40.16% @ Admira Wacker 0 1576 31.19% 28.65%
7 2013-09-15 14.58 Salzburg 5 1847 51.10% @ Ried 0 1695 22.52% 26.38%
8 2014-05-11 14.56 @ Wolfsberg 2 1623 13.56% Salzburg 0 1909 67.30% 19.14%
9 2013-09-21 14.34 Wiener Neustadter 3 1592 31.26% @ Admira Wacker 0 1583 40.08% 28.66%
10 2013-11-30 14.05 @ Admira Wacker 3 1583 32.27% Wolfsberg 0 1647 38.98% 28.75%
11 2013-09-14 13.28 Rapid Wien 4 1729 46.87% @ Wacker Innsbruck 0 1608 25.58% 27.55%
12 2013-11-10 13.04 @ Admira Wacker 3 1569 12.01% Salzburg 1 1887 70.78% 17.21%
13 2014-03-29 12.33 @ Wolfsberg 4 1624 49.62% Wiener Neustadter 0 1564 23.55% 26.83%
14 2013-12-07 12.33 @ Grodig 3 1664 38.68% Ried 0 1683 32.55% 28.77%
15 2013-11-23 12.16 Austria Wien 5 1784 57.00% @ Wacker Innsbruck 0 1585 18.82% 24.19%
16 2014-03-01 12.06 Wolfsberg 4 1642 31.40% @ Sturm Graz 1 1632 39.93% 28.67%
17 2014-03-22 12.02 Grodig 4 1668 31.54% @ Ried 1 1657 39.77% 28.69%
18 2013-08-18 11.99 @ Admira Wacker 2 1588 22.05% Rapid Wien 0 1746 51.79% 26.15%
19 2013-10-26 11.97 Admira Wacker 2 1560 22.15% @ Sturm Graz 0 1635 51.65% 26.20%
20 2013-08-31 11.81 Wiener Neustadter 6 1588 21.94% @ Grodig 3 1666 51.96% 26.10%
21 2014-04-26 11.15 @ Ried 3 1645 43.17% Admira Wacker 0 1632 28.56% 28.27%
22 2013-12-15 11.13 @ Salzburg 4 1878 53.15% Austria Wien 0 1791 21.16% 25.69%
23 2014-02-15 10.97 @ Grodig 3 1670 43.83% Wolfsberg 0 1652 28.01% 28.16%
24 2013-12-18 10.96 @ Sturm Graz 2 1625 26.22% Rapid Wien 0 1740 46.05% 27.73%
25 2013-07-27 10.88 @ Salzburg 5 1834 47.51% Austria Wien 1 1789 25.10% 27.40%

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 2013-08-03 80.3 @ Austria Wien 3 1778 55.70% Ried 3 1672 19.58% 24.72%
2 2013-09-22 78.3 @ Salzburg 2 1862 69.67% Wolfsberg 2 1635 12.49% 17.84%
3 2013-09-21 77.8 @ Grodig 3 1661 50.47% Wacker Innsbruck 3 1594 22.96% 26.58%
4 2013-10-26 77.6 @ Wiener Neustadter 3 1600 30.32% Ried 3 1680 41.13% 28.55%
5 2013-12-07 77.2 @ Austria Wien 2 1792 66.79% Admira Wacker 2 1592 13.79% 19.42%
6 2013-09-14 76.5 Grodig 3 1654 17.30% @ Austria Wien 2 1794 59.73% 22.98%
7 2014-05-11 76.3 @ Wacker Innsbruck 3 1556 28.98% Grodig 3 1647 42.67% 28.35%
8 2013-10-05 75.5 @ Wacker Innsbruck 3 1591 43.55% Admira Wacker 3 1575 28.24% 28.21%
9 2013-10-20 75.5 @ Rapid Wien 2 1738 55.20% Sturm Graz 2 1635 19.88% 24.92%
10 2014-03-30 75.4 @ Ried 2 1655 23.61% Austria Wien 2 1796 49.53% 26.85%
11 2014-04-20 74.8 @ Grodig 2 1634 25.34% Rapid Wien 2 1757 47.19% 27.47%
12 2013-11-10 74.6 @ Grodig 2 1657 29.21% Rapid Wien 2 1746 42.40% 28.39%
13 2013-07-20 74.5 @ Wolfsberg 2 1661 31.56% Rapid Wien 2 1731 39.76% 28.69%
14 2013-11-23 74.4 @ Ried 2 1690 55.89% Admira Wacker 2 1582 19.46% 24.64%
15 2014-04-12 73.9 Sturm Graz 2 1648 10.68% @ Salzburg 1 1915 73.87% 15.45%
16 2014-02-22 73.8 @ Ried 2 1665 45.99% Sturm Graz 2 1631 26.26% 27.75%
17 2013-12-14 73.5 @ Sturm Graz 2 1625 34.10% Grodig 2 1676 37.05% 28.84%
18 2014-03-01 73.1 @ Admira Wacker 2 1602 32.64% Ried 2 1664 38.59% 28.77%
19 2013-09-28 72.7 Wolfsberg 4 1637 19.21% @ Rapid Wien 2 1748 56.32% 24.47%
20 2013-07-21 72.5 @ Wacker Innsbruck 2 1603 37.13% Sturm Graz 2 1633 34.03% 28.84%
21 2014-03-08 72.5 Admira Wacker 3 1603 24.36% @ Wolfsberg 2 1654 48.50% 27.14%
22 2013-08-31 72.0 @ Austria Wien 1 1795 65.55% Wacker Innsbruck 1 1606 14.37% 20.08%
23 2013-08-03 71.7 @ Wacker Innsbruck 1 1608 16.32% Salzburg 1 1844 61.58% 22.10%
24 2013-08-17 71.7 @ Sturm Graz 1 1618 16.68% Salzburg 1 1848 60.89% 22.43%
25 2013-11-30 71.7 Wiener Neustadter 3 1568 23.17% @ Sturm Graz 2 1632 50.17% 26.67%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-03-23 42.6 @ Salzburg 5 1927 81.28% Wiener Neustadter 0 1577 7.61% 11.10%
2 2013-10-19 44.7 @ Salzburg 6 1872 75.23% Wacker Innsbruck 0 1591 10.11% 14.66%
3 2014-03-16 44.8 @ Salzburg 5 1921 74.39% Wolfsberg 0 1649 10.46% 15.15%
4 2014-05-04 45.5 @ Salzburg 4 1903 71.85% Ried 0 1656 11.54% 16.61%
5 2013-08-17 47.0 @ Austria Wien 5 1778 64.52% Wiener Neustadter 0 1598 14.86% 20.62%
6 2014-02-08 47.1 @ Salzburg 6 1896 68.60% Grodig 0 1679 12.97% 18.43%
7 2014-02-23 47.2 @ Salzburg 6 1910 77.25% Admira Wacker 1 1607 9.27% 13.48%
8 2013-12-01 47.3 @ Rapid Wien 3 1751 64.32% Wacker Innsbruck 0 1573 14.96% 20.72%
9 2013-12-01 47.4 @ Salzburg 4 1869 65.52% Ried 0 1680 14.38% 20.09%
10 2013-09-29 47.7 @ Salzburg 8 1861 72.57% Wiener Neustadter 1 1606 11.23% 16.19%
11 2013-07-27 48.3 @ Rapid Wien 4 1731 58.51% Wiener Neustadter 0 1602 17.96% 23.53%
12 2013-11-02 48.4 @ Ried 4 1680 54.85% Wacker Innsbruck 0 1580 20.10% 25.06%
13 2014-05-04 48.4 @ Rapid Wien 2 1762 67.11% Wacker Innsbruck 0 1560 13.65% 19.25%
14 2014-03-29 48.6 @ Wolfsberg 4 1624 49.62% Wiener Neustadter 0 1564 23.55% 26.83%
15 2013-11-23 49.2 Austria Wien 5 1784 57.00% @ Wacker Innsbruck 0 1585 18.82% 24.19%
16 2013-07-20 50.1 @ Austria Wien 2 1785 63.59% Admira Wacker 0 1613 15.31% 21.10%
17 2014-02-02 50.1 Salzburg 5 1891 70.02% @ Wiener Neustadter 1 1580 12.34% 17.64%
18 2013-10-27 50.2 Salzburg 3 1879 58.97% @ Grodig 0 1664 17.71% 23.33%
19 2014-04-13 50.2 Austria Wien 2 1789 61.64% @ Wiener Neustadter 0 1552 16.29% 22.07%
20 2013-11-02 50.3 @ Salzburg 1 1886 73.38% Sturm Graz 0 1624 10.89% 15.73%
21 2013-12-14 50.3 @ Admira Wacker 3 1593 44.56% Wacker Innsbruck 0 1571 27.41% 28.03%
22 2013-08-25 50.5 @ Salzburg 1 1847 71.81% Admira Wacker 0 1600 11.56% 16.63%
23 2013-12-18 50.5 Salzburg 1 1889 71.92% @ Wacker Innsbruck 0 1560 11.51% 16.57%
24 2014-03-26 50.6 Rapid Wien 3 1738 52.70% @ Wiener Neustadter 0 1573 21.45% 25.85%
25 2013-11-03 51.0 Austria Wien 3 1773 53.70% @ Wiener Neustadter 0 1600 20.81% 25.49%