2014-15 Bundesliga Season

180 games

Final

Champion

Salzburg

73 points

Relegated

No relegation

Biggest Overachiever

SCR Altach

12.66 points above expected

59 points · 46.34 expected points

Biggest Disappointment

Austria Wien

11.09 points below expected

43 points · 54.09 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	22	7	7	73	99	42	+57	75.46	-2.46
2	Rapid Wien	36	19	10	7	67	68	38	+30	62.01	+4.99
3	SCR Altach	36	17	8	11	59	50	49	+1	46.34	+12.66
4	Sturm Graz	36	16	10	10	58	57	41	+16	51.83	+6.17
5	Wolfsberg	36	16	4	16	52	44	50	-6	50.04	+1.96
6	Ried	36	12	8	16	44	49	51	-2	44.74	-0.74
7	Austria Wien	36	10	13	13	43	45	51	-6	54.09	-11.09
8	Grodig	36	10	7	19	37	46	65	-19	43.55	-6.55
9	Admira Wacker	36	7	13	16	34	32	61	-29	38.42	-4.42
10	Wiener Neustadter	36	7	8	21	29	37	79	-42	31.20	-2.20

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	SCR Altach	59	46.34	+12.66
2	Sturm Graz	58	51.83	+6.17
3	Rapid Wien	67	62.01	+4.99
4	Wolfsberg	52	50.04	+1.96
5	Ried	44	44.74	-0.74

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Austria Wien	43	54.09	-11.09
2	Grodig	37	43.55	-6.55
3	Admira Wacker	34	38.42	-4.42
4	Salzburg	73	75.46	-2.46
5	Wiener Neustadter	29	31.20	-2.20

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	Wolfsberg	6	Jul 19 – Aug 23	1 in 363
2	SCR Altach	3	Mar 7 – Mar 21	1 in 40
3	Ried	3	Nov 1 – Nov 22	1 in 31
4	Wiener Neustadter	2	Aug 23 – Aug 30	1 in 20
5	Salzburg	6	Jul 19 – Aug 23	1 in 16

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Salzburg	3	Aug 30 – Sep 21	1 in 259
2	Grodig	6	Dec 13 – Mar 14	1 in 148
3	Wolfsberg	3	Nov 1 – Nov 22	1 in 56
4	Rapid Wien	3	Nov 2 – Nov 22	1 in 49
5	Wiener Neustadter	5	Mar 14 – Apr 18	1 in 13

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	SCR Altach	9	Aug 30 – Nov 9	1 in 227
2	Rapid Wien	12	Mar 14 – May 31	1 in 25
3	Wiener Neustadter	4	Feb 21 – Mar 7	1 in 24
4	Ried	5	Oct 25 – Nov 29	1 in 16
5	Wolfsberg	6	Jul 19 – Aug 23	1 in 16

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Wolfsberg	8	Oct 18 – Dec 13	1 in 131
2	Austria Wien	7	Jul 20 – Aug 30	1 in 99
3	Ried	8	Jul 26 – Sep 20	1 in 23
4	Salzburg	3	Aug 30 – Sep 21	1 in 20
5	Admira Wacker	11	Feb 14 – Apr 25	1 in 17

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Salzburg	1853	73	+7	9	10.4	-1.4
Rapid Wien	1796	67	+44	13	9.7	+3.3
SCR Altach	1639	59	-7	7	6.6	+0.4
Sturm Graz	1712	58	-4	6	7.8	-1.8
Wolfsberg	1585	52	-57	3	5.7	-2.7
Ried	1629	44	+17	7	6.9	+0.1
Austria Wien	1650	43	-2	5	6.1	-1.1
Grodig	1561	37	-11	6	6.5	-0.5
Admira Wacker	1533	34	+8	7	4.8	+2.2
Wiener Neustadter	1490	29	+6	5	4.7	+0.3

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	SA	SAL	SG	WN	WOL
Admira Wacker	—	2-1-1 3.79	1-1-2 4.93	0-4-0 3.22	1-3-0 4.71	1-1-2 4.62	0-0-4 2.17	1-0-3 3.83	0-3-1 6.37	1-0-3 4.41
Austria Wien	1-1-2 7.25	—	1-3-0 6.70	2-1-1 4.69	2-1-1 6.27	1-2-1 6.27	1-1-2 3.20	0-2-2 5.81	2-1-1 8.01	0-1-3 6.21
Grodig	2-1-1 6.07	0-3-1 4.30	—	1-0-3 3.66	1-1-2 5.33	0-1-3 5.07	0-1-3 2.56	1-0-3 4.71	3-0-1 6.99	2-0-2 4.67
Rapid Wien	0-4-0 7.89	1-1-2 6.32	3-0-1 7.39	—	4-0-0 7.07	2-0-2 7.13	1-1-2 4.01	2-2-0 6.51	3-1-0 8.41	3-1-0 6.86
Ried	0-3-1 6.29	1-1-2 4.74	2-1-1 5.65	0-0-4 3.94	—	2-1-1 5.24	0-1-3 2.66	0-1-3 4.67	4-0-0 6.83	3-0-1 4.61
SCR Altach	2-1-1 6.39	1-2-1 4.72	3-1-0 5.91	2-0-2 3.90	1-1-2 5.73	—	2-1-1 2.62	2-1-1 4.94	3-0-1 7.37	1-1-2 5.00
Salzburg	4-0-0 9.10	2-1-1 7.89	3-1-0 8.63	2-1-1 7.02	3-1-0 8.52	1-1-2 8.56	—	2-1-1 7.94	4-0-0 9.41	1-1-2 8.29
Sturm Graz	3-0-1 7.20	2-2-0 5.18	3-0-1 6.30	0-2-2 4.49	3-1-0 6.33	1-1-2 6.04	1-1-2 3.18	—	1-3-0 7.75	2-0-2 5.61
Wiener Neustadter	1-3-0 4.64	1-1-2 3.10	1-0-3 4.03	0-1-3 2.76	0-0-4 4.17	1-0-3 3.68	0-0-4 1.92	0-3-1 3.33	—	3-0-1 3.35
Wolfsberg	3-0-1 6.61	3-1-0 4.77	2-0-2 6.33	0-1-3 4.16	1-0-3 6.38	2-1-1 5.99	2-1-1 2.86	2-0-2 5.37	1-0-3 7.72	—

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	0.73	+6.5
Allowed	0.78	-10.3
Differential	0.90	+4.8

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.22%	7.50%	8.06%	2.22%	1.39%	2.22%	28.61%
1	7.50%	8.33%	6.67%	3.33%	2.22%	0.56%	28.61%
2	8.06%	6.67%	6.67%	1.67%	1.39%	0.28%	24.72%
3	2.22%	3.33%	1.67%	1.67%	—	—	8.89%
4	1.39%	2.22%	1.39%	—	0.56%	0.28%	5.83%
5+	2.22%	0.56%	0.28%	—	0.28%	—	3.33%
Total	28.61%	28.61%	24.72%	8.89%	5.83%	3.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	1.46	+0.00
SD	1.38	1.38	2.08
CV	0.94	0.94	—
Max	8	8	+8
Min	0	0	-8

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	13.89%	—	13.89%	2.78%	5.56%	2.78%	38.89%
1	8.33%	16.67%	5.56%	2.78%	5.56%	—	38.89%
2	5.56%	5.56%	5.56%	2.78%	—	—	19.44%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	2.78%	2.78%
5+	—	—	—	—	—	—	—
Total	27.78%	22.22%	25.00%	8.33%	11.11%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.89	1.69	-0.81
SD	0.92	1.53	1.70
CV	1.03	0.90	—
Max	4	5	+2
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	5.56%	2.78%	2.78%	—	30.56%
1	2.78%	22.22%	5.56%	2.78%	2.78%	—	36.11%
2	5.56%	5.56%	5.56%	—	2.78%	—	19.44%
3	—	2.78%	5.56%	—	—	—	8.33%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	2.78%	—	—	—	2.78%
Total	19.44%	41.67%	25.00%	5.56%	8.33%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.42	-0.17
SD	1.23	1.13	1.66
CV	0.98	0.80	—
Max	5	4	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	13.89%	13.89%	2.78%	2.78%	2.78%	41.67%
1	—	5.56%	8.33%	8.33%	—	—	22.22%
2	2.78%	5.56%	5.56%	—	—	—	13.89%
3	2.78%	2.78%	5.56%	2.78%	—	—	13.89%
4	—	—	5.56%	—	—	—	5.56%
5+	2.78%	—	—	—	—	—	2.78%
Total	13.89%	27.78%	38.89%	13.89%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.28	1.81	-0.53
SD	1.43	1.45	2.22
CV	1.12	0.80	—
Max	5	8	+5
Min	0	0	-8

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	2.78%	2.78%	—	—	—	11.11%
1	13.89%	13.89%	5.56%	2.78%	—	2.78%	38.89%
2	5.56%	5.56%	5.56%	2.78%	—	—	19.44%
3	8.33%	5.56%	—	2.78%	—	—	16.67%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	2.78%	2.78%	—	—	—	—	5.56%
Total	38.89%	36.11%	13.89%	8.33%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.89	1.06	+0.83
SD	1.37	1.26	1.98
CV	0.72	1.20	—
Max	5	6	+5
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	11.11%	5.56%	2.78%	—	—	25.00%
1	13.89%	5.56%	11.11%	5.56%	2.78%	—	38.89%
2	—	8.33%	11.11%	2.78%	2.78%	—	25.00%
3	—	2.78%	—	—	—	—	2.78%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	2.78%	—	—	—	—	—	2.78%
Total	25.00%	30.56%	27.78%	11.11%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	1.42	-0.06
SD	1.31	1.16	1.85
CV	0.96	0.82	—
Max	6	4	+6
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	2.78%	8.33%	—	—	5.56%	22.22%
1	16.67%	2.78%	5.56%	2.78%	2.78%	—	30.56%
2	19.44%	2.78%	11.11%	—	—	2.78%	36.11%
3	—	5.56%	—	2.78%	—	—	8.33%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	41.67%	16.67%	25.00%	5.56%	2.78%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.36	+0.03
SD	1.02	1.55	1.99
CV	0.74	1.14	—
Max	4	5	+3
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	—	—	—	—	8.33%
1	—	2.78%	2.78%	—	2.78%	—	8.33%
2	8.33%	11.11%	11.11%	8.33%	—	—	38.89%
3	8.33%	5.56%	—	2.78%	—	—	16.67%
4	2.78%	5.56%	5.56%	—	—	—	13.89%
5+	11.11%	2.78%	—	—	—	—	13.89%
Total	33.33%	33.33%	19.44%	11.11%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.75	1.17	+1.58
SD	1.75	1.11	2.35
CV	0.64	0.95	—
Max	8	4	+8
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	8.33%	5.56%	—	—	—	25.00%
1	5.56%	5.56%	11.11%	2.78%	—	—	25.00%
2	11.11%	11.11%	5.56%	—	—	—	27.78%
3	2.78%	5.56%	2.78%	2.78%	—	—	13.89%
4	—	—	2.78%	—	2.78%	—	5.56%
5+	2.78%	—	—	—	—	—	2.78%
Total	33.33%	30.56%	27.78%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.14	+0.44
SD	1.32	1.05	1.52
CV	0.83	0.92	—
Max	5	4	+5
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	11.11%	11.11%	5.56%	—	8.33%	47.22%
1	5.56%	2.78%	2.78%	5.56%	2.78%	2.78%	22.22%
2	8.33%	—	2.78%	—	8.33%	—	19.44%
3	—	2.78%	—	2.78%	—	—	5.56%
4	—	—	—	—	2.78%	—	2.78%
5+	—	—	—	—	2.78%	—	2.78%
Total	25.00%	16.67%	16.67%	13.89%	16.67%	11.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	2.19	-1.17
SD	1.28	1.85	2.08
CV	1.24	0.84	—
Max	5	6	+2
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	8.33%	13.89%	5.56%	2.78%	2.78%	36.11%
1	8.33%	5.56%	8.33%	—	2.78%	—	25.00%
2	13.89%	11.11%	2.78%	—	—	—	27.78%
3	—	—	2.78%	—	—	—	2.78%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	27.78%	30.56%	27.78%	5.56%	5.56%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.22	1.39	-0.17
SD	1.22	1.27	2.10
CV	1.00	0.92	—
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	1853	73	75.46	-2.46	39.1%	56	63	70	76	81	87	96
Rapid Wien	1796	67	62.01	+4.99	74.4%	37	49	57	62	68	74	91
Sturm Graz	1712	58	51.83	+6.17	80.4%	28	40	46	52	57	64	76
Austria Wien	1650	43	54.09	-11.09	8.7%	27	41	49	54	59	67	88
SCR Altach	1639	59	46.34	+12.66	96.5%	26	35	41	46	51	58	70
Ried	1629	44	44.74	-0.74	49.2%	18	33	40	45	50	57	68
Wolfsberg	1585	52	50.04	+1.96	63.7%	27	37	44	50	55	64	80
Grodig	1561	37	43.55	-6.55	22.6%	24	31	38	43	49	57	69
Admira Wacker	1533	34	38.42	-4.42	30.2%	15	27	33	38	43	50	61
Wiener Neustadter	1490	29	31.20	-2.20	43.4%	12	20	26	31	36	43	56

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

+15.56%

Clear Edge

45.56%24.44%30.00%

Elo Value

Home Edge

144 Elo

0.007 goals per Elo point

054.49400

Scoring Tilt

Expected

+0.49 goals

Neutral

-2+0.38+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

1.3

One-Team Race

124610

Champion Preseason Odds

86%

Salzburg, 1st of 10

LongshotFavorite

Title Margin

Expected

0.17/gm

Tight Race

00.330.5/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 5.96 * Some Luck: 5.96 to 8.95 * Lucky: 8.95 to 11.93 * Wild Swing: 11.93 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 0.99 * Close: 0.99 to 1.49 * Off: 1.49 to 1.99 * Way Off: 1.99 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

6.51 points

Some Luck

07.4619

Average Finish Error

Expected

0.80

Pinpoint

01.242.5

Biggest Overachiever

Expected 95.00%

96.50%

SCR Altach

50100

Biggest Underachiever

Expected 5.00%

8.70%

Austria Wien

050

Season Outliers

Expected

1 of 10

Minimal Outliers

01.010

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * 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

0.16

Even

00.120.180.260.5

Noll-Scully

Coin-flip

1.62

Strong Separation

01.003

Interquartile Edge

68%

Slight Edge

50%60%70%80%100%

Best vs. Worst

Baseline

89%

Strong Edge

50%90%100%

Close Games

Expected

57%

Very Frequent

0%53%100%

Blowouts

Expected

18%

Frequent

0%23%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

00.602

Matchup Imbalance

0.36

Lopsided

00.10.180.280.5

Strangeness

Expected

0.76

Very Predictable

01.002

Repeatability

0.54

Some Carryover

00.30.60.851

Upset Rate

Expected

23%

Chalky

0%24%50%

Clear Favorite Upset Rate

Expected

23%

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 0.26 * Well Above Noise: 0.26 and up.

Probability calibration

0.85

Excellent

0.010.050.10.51

Calibration slope

Ideal

0.83

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.086

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).

Team	1	2	3	4	5	6	7	8	9	10
Salzburg	85.60%	11.60%	2.60%	0.20%	—	—	—	—	—	—
Rapid Wien	11.20%	49.90%	18.80%	10.10%	5.50%	2.40%	1.30%	0.70%	0.10%	—
SCR Altach	0.20%	2.80%	6.90%	13.40%	17.00%	17.10%	16.80%	13.70%	9.00%	3.10%
Sturm Graz	0.40%	11.10%	19.00%	20.50%	16.50%	14.00%	9.30%	6.20%	2.30%	0.70%
Wolfsberg	0.80%	6.70%	16.20%	16.60%	16.70%	13.90%	13.00%	10.20%	4.50%	1.40%
Ried	0.20%	1.60%	6.10%	8.20%	13.00%	17.80%	19.40%	16.80%	12.40%	4.50%
Austria Wien	1.50%	15.00%	24.50%	20.90%	14.70%	10.50%	6.90%	3.50%	1.70%	0.80%
Grodig	0.10%	1.10%	5.00%	7.50%	10.60%	14.00%	17.70%	19.70%	18.20%	6.10%
Admira Wacker	—	0.20%	0.80%	2.30%	5.10%	8.90%	11.40%	21.00%	31.90%	18.40%
Wiener Neustadter	—	—	0.10%	0.30%	0.90%	1.40%	4.20%	8.20%	19.90%	65.00%

Points Required Per Position

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

Next-Season Status

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

Team	Same level	Direct relegation
Rapid Wien	100%	—
Salzburg	100%	—
Sturm Graz	99.30%	0.70%
Austria Wien	99.20%	0.80%
Wolfsberg	98.60%	1.40%
SCR Altach	96.90%	3.10%
Ried	95.50%	4.50%
Grodig	93.90%	6.10%
Admira Wacker	81.60%	18.40%
Wiener Neustadter	35.00%	65.00%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2014-07-19	Rapid Wien	W 6-1	53.4	1792	1709	55.27%	23.74%	20.99%	+0.96	+15.4	3
2014-07-19	@ Salzburg	L 1-6	53.4	1709	1792	20.99%	23.74%	55.27%	-0.96	-15.5	0
2014-07-19	Sturm Graz	W 1-0	58.0	1592	1632	39.11%	25.90%	34.99%	+0.10	+6.5	3
2014-07-19	@ SCR Altach	L 0-1	58.0	1632	1592	34.99%	25.90%	39.11%	-0.10	-6.5	0
2014-07-19	Wiener Neustadter	W 3-1	55.2	1617	1554	52.88%	24.30%	22.82%	+0.82	+7.5	3
2014-07-19	@ Ried	L 1-3	55.2	1554	1617	22.82%	24.30%	52.88%	-0.82	-7.5	0
2014-07-19	Wolfsberg	L 1-4	60.1	1599	1614	42.71%	25.73%	31.56%	+0.28	-17.5	0
2014-07-19	@ Admira Wacker	W 4-1	60.1	1614	1599	31.56%	25.73%	42.71%	-0.28	+17.5	3
2014-07-20	Grodig	D 1-1	71.5	1719	1620	57.12%	23.25%	19.63%	+1.07	-1.5	1
2014-07-20	@ Austria Wien	D 1-1	71.5	1620	1719	19.63%	23.25%	57.12%	-1.07	+1.4	1
2014-07-26	Austria Wien	W 4-0	56.1	1631	1717	32.67%	25.80%	41.53%	-0.22	+26.5	6
2014-07-26	@ Wolfsberg	L 0-4	56.1	1717	1631	41.53%	25.80%	32.67%	+0.22	-26.5	1
2014-07-26	Ried	W 1-0	55.2	1694	1625	53.57%	24.15%	22.28%	+0.86	+4.5	3
2014-07-26	@ Rapid Wien	L 0-1	55.2	1625	1694	22.28%	24.15%	53.57%	-0.86	-4.5	3
2014-07-26	Salzburg	L 0-5	47.3	1546	1807	15.70%	21.34%	62.96%	-1.43	-14.0	0
2014-07-26	@ Wiener Neustadter	W 5-0	47.3	1807	1546	62.96%	21.34%	15.70%	+1.43	+14.0	6
2014-07-27	Sturm Graz	W 2-1	62.1	1621	1626	44.04%	25.62%	30.33%	+0.35	+5.5	4
2014-07-27	@ Grodig	L 1-2	62.1	1626	1621	30.33%	25.62%	44.04%	-0.35	-5.5	0
2014-08-02	Rapid Wien	D 1-1	70.1	1582	1698	28.86%	25.46%	45.68%	-0.43	+0.6	1
2014-08-02	@ Admira Wacker	D 1-1	70.1	1698	1582	45.68%	25.46%	28.86%	+0.43	-0.6	4
2014-08-02	Salzburg	L 0-2	52.4	1620	1821	20.18%	23.46%	56.36%	-1.02	-7.7	3
2014-08-02	@ Ried	W 2-0	52.4	1821	1620	56.36%	23.46%	20.18%	+1.02	+7.7	9
2014-08-02	SCR Altach	D 0-0	66.6	1691	1599	56.29%	23.48%	20.23%	+1.02	-1.6	2
2014-08-02	@ Austria Wien	D 0-0	66.6	1599	1691	20.23%	23.48%	56.29%	-1.02	+1.6	4
2014-08-02	Wiener Neustadter	W 4-2	57.8	1620	1532	55.84%	23.60%	20.56%	+0.99	+6.1	3
2014-08-02	@ Sturm Graz	L 2-4	57.8	1532	1620	20.56%	23.60%	55.84%	-0.99	-6.1	0
2014-08-03	Wolfsberg	L 0-2	57.8	1627	1657	40.41%	25.85%	33.74%	+0.16	-13.7	4
2014-08-03	@ Grodig	W 2-0	57.8	1657	1627	33.74%	25.85%	40.41%	-0.16	+13.7	9
2014-08-09	Admira Wacker	D 1-1	68.6	1612	1582	48.69%	25.07%	26.24%	+0.59	-0.8	4
2014-08-09	@ Ried	D 1-1	68.6	1582	1612	26.24%	25.07%	48.69%	-0.59	+0.8	2
2014-08-09	Austria Wien	D 2-2	74.6	1526	1689	23.76%	24.55%	51.70%	-0.75	+0.8	1
2014-08-09	@ Wiener Neustadter	D 2-2	74.6	1689	1526	51.70%	24.55%	23.76%	+0.75	-0.8	3
2014-08-09	Sturm Graz	D 1-1	71.1	1697	1626	53.82%	24.09%	22.09%	+0.87	-1.2	5
2014-08-09	@ Rapid Wien	D 1-1	71.1	1626	1697	22.09%	24.09%	53.82%	-0.87	+1.2	4
2014-08-09	Wolfsberg	L 1-2	63.9	1600	1671	34.75%	25.89%	39.36%	-0.11	-6.1	4
2014-08-09	@ SCR Altach	W 2-1	63.9	1671	1600	39.36%	25.89%	34.75%	+0.11	+6.1	12
2014-08-10	Grodig	W 8-0	47.7	1829	1613	69.28%	18.70%	12.02%	+1.88	+16.2	12
2014-08-10	@ Salzburg	L 0-8	47.7	1613	1829	12.02%	18.70%	69.28%	-1.88	-16.2	4
2014-08-13	Admira Wacker	L 0-2	57.3	1594	1583	46.20%	25.40%	28.40%	+0.46	-15.2	4
2014-08-13	@ SCR Altach	W 2-0	57.3	1583	1594	28.40%	25.40%	46.20%	-0.46	+15.2	5
2014-08-16	Ried	W 4-1	55.0	1677	1612	53.17%	24.24%	22.59%	+0.83	+10.5	15
2014-08-16	@ Wolfsberg	L 1-4	55.0	1612	1677	22.59%	24.24%	53.17%	-0.83	-10.5	4
2014-08-16	Salzburg	L 0-3	48.9	1598	1845	16.65%	21.88%	61.47%	-1.34	-9.2	5
2014-08-16	@ Admira Wacker	W 3-0	48.9	1845	1598	61.47%	21.88%	16.65%	+1.34	+9.2	15
2014-08-16	SCR Altach	L 0-1	65.2	1696	1579	59.17%	22.64%	18.19%	+1.19	-9.9	5
2014-08-16	@ Rapid Wien	W 1-0	65.2	1579	1696	18.19%	22.64%	59.17%	-1.19	+9.9	7
2014-08-16	Wiener Neustadter	W 3-0	46.2	1597	1527	53.65%	24.13%	22.22%	+0.86	+12.2	7
2014-08-16	@ Grodig	L 0-3	46.2	1527	1597	22.22%	24.13%	53.65%	-0.86	-12.2	1
2014-08-17	Austria Wien	D 1-1	70.4	1628	1688	36.16%	25.92%	37.92%	-0.04	+0.1	5
2014-08-17	@ Sturm Graz	D 1-1	70.4	1688	1628	37.92%	25.92%	36.16%	+0.04	-0.1	4
2014-08-23	Admira Wacker	W 5-4	70.5	1515	1589	34.28%	25.88%	39.85%	-0.14	+6.2	4
2014-08-23	@ Wiener Neustadter	L 4-5	70.5	1589	1515	39.85%	25.88%	34.28%	+0.14	-6.2	5
2014-08-23	Grodig	D 2-2	74.2	1601	1609	43.62%	25.66%	30.72%	+0.32	-0.4	5
2014-08-23	@ Ried	D 2-2	74.2	1609	1601	30.72%	25.66%	43.62%	-0.32	+0.3	8
2014-08-23	SCR Altach	W 5-0	44.7	1855	1589	73.67%	16.57%	9.76%	+2.22	+8.2	18
2014-08-23	@ Salzburg	L 0-5	44.7	1589	1855	9.76%	16.57%	73.67%	-2.22	-8.2	7
2014-08-23	Wolfsberg	L 1-2	64.9	1628	1688	36.25%	25.92%	37.83%	-0.04	-6.3	5
2014-08-23	@ Sturm Graz	W 2-1	64.9	1688	1628	37.83%	25.92%	36.25%	+0.04	+6.3	18
2014-08-24	Rapid Wien	D 2-2	76.5	1688	1686	44.95%	25.54%	29.51%	+0.39	-0.4	5
2014-08-24	@ Austria Wien	D 2-2	76.5	1686	1688	29.51%	25.54%	44.95%	-0.39	+0.4	6
2014-08-30	Austria Wien	W 2-1	66.6	1583	1688	30.26%	25.62%	44.13%	-0.35	+7.3	8
2014-08-30	@ Admira Wacker	L 1-2	66.6	1688	1583	44.13%	25.62%	30.26%	+0.35	-7.3	5
2014-08-30	Ried	D 2-2	73.5	1581	1601	41.94%	25.78%	32.28%	+0.24	-0.2	8
2014-08-30	@ SCR Altach	D 2-2	73.5	1601	1581	32.28%	25.78%	41.94%	-0.24	+0.3	6
2014-08-30	Sturm Graz	L 2-3	79.2	1863	1621	71.57%	17.61%	10.81%	+2.05	-10.3	18
2014-08-30	@ Salzburg	W 3-2	79.2	1621	1863	10.81%	17.61%	71.57%	-2.05	+10.3	8
2014-08-30	Wiener Neustadter	L 0-1	65.3	1694	1521	65.09%	20.51%	14.40%	+1.58	-10.7	18
2014-08-30	@ Wolfsberg	W 1-0	65.3	1521	1694	14.40%	20.51%	65.09%	-1.58	+10.7	7
2014-08-31	Grodig	W 2-0	51.7	1687	1609	54.60%	23.91%	21.49%	+0.92	+8.2	9
2014-08-31	@ Rapid Wien	L 0-2	51.7	1609	1687	21.49%	23.91%	54.60%	-0.92	-8.2	8
2014-09-13	Admira Wacker	L 0-2	59.3	1632	1590	50.15%	24.83%	25.02%	+0.67	-16.2	8
2014-09-13	@ Sturm Graz	W 2-0	59.3	1590	1632	25.02%	24.83%	50.15%	-0.67	+16.2	11
2014-09-13	Ried	W 3-1	56.8	1680	1601	54.84%	23.85%	21.31%	+0.93	+7.0	8
2014-09-13	@ Austria Wien	L 1-3	56.8	1601	1680	21.31%	23.85%	54.84%	-0.93	-7.0	6
2014-09-14	Salzburg	W 1-0	65.6	1683	1853	23.11%	24.38%	52.51%	-0.80	+9.0	21
2014-09-14	@ Wolfsberg	L 0-1	65.6	1853	1683	52.51%	24.38%	23.11%	+0.80	-8.9	18
2014-09-17	Rapid Wien	L 1-5	52.7	1532	1695	23.72%	24.54%	51.74%	-0.75	-14.1	7
2014-09-17	@ Wiener Neustadter	W 5-1	52.7	1695	1532	51.74%	24.54%	23.72%	+0.75	+14.1	12
2014-09-17	SCR Altach	D 3-3	77.7	1601	1581	47.44%	25.25%	27.32%	+0.52	-0.5	9
2014-09-17	@ Grodig	D 3-3	77.7	1581	1601	27.32%	25.25%	47.44%	-0.52	+0.5	9
2014-09-20	Grodig	D 0-0	64.6	1606	1601	45.48%	25.48%	29.04%	+0.42	-0.7	12
2014-09-20	@ Admira Wacker	D 0-0	64.6	1601	1606	29.04%	25.48%	45.48%	-0.42	+0.7	10
2014-09-20	Sturm Graz	L 0-1	59.7	1594	1615	41.74%	25.79%	32.47%	+0.23	-7.4	6
2014-09-20	@ Ried	W 1-0	59.7	1615	1594	32.47%	25.79%	41.74%	-0.23	+7.4	11
2014-09-20	Wiener Neustadter	W 2-0	47.7	1581	1518	52.89%	24.30%	22.81%	+0.82	+8.6	12
2014-09-20	@ SCR Altach	L 0-2	47.7	1518	1581	22.81%	24.30%	52.89%	-0.82	-8.6	7
2014-09-20	Wolfsberg	W 3-0	53.0	1709	1692	46.93%	25.31%	27.76%	+0.49	+14.8	15
2014-09-20	@ Rapid Wien	L 0-3	53.0	1692	1709	27.76%	25.31%	46.93%	-0.49	-14.8	21
2014-09-21	Austria Wien	L 2-3	78.0	1844	1687	63.37%	21.19%	15.44%	+1.46	-9.4	18
2014-09-21	@ Salzburg	W 3-2	78.0	1687	1844	15.44%	21.19%	63.37%	-1.46	+9.3	11
2014-09-27	Admira Wacker	W 2-1	59.7	1677	1606	53.90%	24.08%	22.03%	+0.88	+4.2	24
2014-09-27	@ Wolfsberg	L 1-2	59.7	1606	1677	22.03%	24.08%	53.90%	-0.88	-4.2	12
2014-09-27	Austria Wien	D 0-0	66.1	1601	1697	31.44%	25.72%	42.84%	-0.28	+0.5	11
2014-09-27	@ Grodig	D 0-0	66.1	1697	1601	42.84%	25.72%	31.44%	+0.28	-0.5	12
2014-09-27	Ried	L 0-1	54.2	1509	1587	33.82%	25.86%	40.33%	-0.16	-6.3	7
2014-09-27	@ Wiener Neustadter	W 1-0	54.2	1587	1509	40.33%	25.86%	33.82%	+0.16	+6.3	9
2014-09-27	SCR Altach	D 2-2	74.4	1623	1590	49.09%	25.01%	25.90%	+0.61	-0.6	12
2014-09-27	@ Sturm Graz	D 2-2	74.4	1590	1623	25.90%	25.01%	49.09%	-0.61	+0.6	13
2014-09-28	Salzburg	L 1-2	64.2	1724	1834	29.57%	25.54%	44.89%	-0.39	-5.4	15
2014-09-28	@ Rapid Wien	W 2-1	64.2	1834	1724	44.89%	25.54%	29.57%	+0.39	+5.4	21
2014-10-04	Grodig	W 1-0	55.5	1622	1602	47.42%	25.25%	27.33%	+0.52	+5.3	15
2014-10-04	@ Sturm Graz	L 0-1	55.5	1602	1622	27.33%	25.25%	47.42%	-0.52	-5.3	11
2014-10-04	SCR Altach	L 0-2	57.7	1602	1590	46.22%	25.40%	28.38%	+0.46	-15.2	12
2014-10-04	@ Admira Wacker	W 2-0	57.7	1590	1602	28.38%	25.40%	46.22%	-0.46	+15.2	16
2014-10-04	Wolfsberg	L 0-2	60.5	1696	1682	46.67%	25.35%	27.98%	+0.48	-15.3	12
2014-10-04	@ Austria Wien	W 2-0	60.5	1682	1696	27.98%	25.35%	46.67%	-0.48	+15.3	27
2014-10-05	Rapid Wien	L 1-2	62.1	1593	1718	27.78%	25.32%	46.90%	-0.49	-5.1	9
2014-10-05	@ Ried	W 2-1	62.1	1718	1593	46.90%	25.32%	27.78%	+0.49	+5.1	18
2014-10-05	Wiener Neustadter	W 4-1	47.8	1840	1503	79.26%	13.56%	7.18%	+2.72	+3.0	24
2014-10-05	@ Salzburg	L 1-4	47.8	1503	1840	7.18%	13.56%	79.26%	-2.72	-3.0	7
2014-10-18	Admira Wacker	D 0-0	67.4	1724	1586	61.36%	21.92%	16.72%	+1.33	-2.0	19
2014-10-18	@ Rapid Wien	D 0-0	67.4	1586	1724	16.72%	21.92%	61.36%	-1.33	+2.0	13
2014-10-18	Austria Wien	D 1-1	70.1	1605	1681	34.08%	25.87%	40.05%	-0.15	+0.2	17
2014-10-18	@ SCR Altach	D 1-1	70.1	1681	1605	40.05%	25.87%	34.08%	+0.15	-0.2	13
2014-10-18	Grodig	L 1-2	70.1	1697	1596	57.30%	23.20%	19.50%	+1.08	-9.1	27
2014-10-18	@ Wolfsberg	W 2-1	70.1	1596	1697	19.50%	23.20%	57.30%	-1.08	+9.1	14
2014-10-18	Ried	W 4-2	56.8	1843	1588	72.74%	17.04%	10.22%	+2.15	+2.9	27
2014-10-18	@ Salzburg	L 2-4	56.8	1588	1843	10.22%	17.04%	72.74%	-2.15	-2.9	9
2014-10-19	Sturm Graz	D 0-0	62.6	1500	1628	27.51%	25.28%	47.21%	-0.51	+0.8	8
2014-10-19	@ Wiener Neustadter	D 0-0	62.6	1628	1500	47.21%	25.28%	27.51%	+0.51	-0.8	16
2014-10-25	Rapid Wien	L 1-3	61.2	1627	1722	31.53%	25.72%	42.74%	-0.28	-9.8	16
2014-10-25	@ Sturm Graz	W 3-1	61.2	1722	1627	42.74%	25.72%	31.53%	+0.28	+9.8	22
2014-10-25	Ried	D 0-0	63.8	1588	1585	45.15%	25.52%	29.33%	+0.40	-0.6	14
2014-10-25	@ Admira Wacker	D 0-0	63.8	1585	1588	29.33%	25.52%	45.15%	-0.40	+0.6	10
2014-10-25	SCR Altach	D 0-0	66.6	1688	1606	55.16%	23.77%	21.07%	+0.95	-1.5	28
2014-10-25	@ Wolfsberg	D 0-0	66.6	1606	1688	21.07%	23.77%	55.16%	-0.95	+1.5	18
2014-10-25	Wiener Neustadter	W 2-0	46.2	1681	1501	65.83%	20.21%	13.96%	+1.63	+5.3	16
2014-10-25	@ Austria Wien	L 0-2	46.2	1501	1681	13.96%	20.21%	65.83%	-1.63	-5.3	8
2014-10-26	Salzburg	D 2-2	78.0	1606	1845	17.16%	22.14%	60.70%	-1.29	+1.3	15
2014-10-26	@ Grodig	D 2-2	78.0	1845	1606	60.70%	22.14%	17.16%	+1.29	-1.3	28
2014-11-01	Admira Wacker	W 2-0	47.4	1844	1588	72.88%	16.97%	10.15%	+2.16	+3.7	31
2014-11-01	@ Salzburg	L 0-2	47.4	1588	1844	10.15%	16.97%	72.88%	-2.16	-3.7	14
2014-11-01	Sturm Graz	L 0-3	59.5	1686	1617	53.60%	24.14%	22.26%	+0.86	-24.9	16
2014-11-01	@ Austria Wien	W 3-0	59.5	1617	1686	22.26%	24.14%	53.60%	-0.86	+24.9	19
2014-11-01	Wolfsberg	W 1-0	61.4	1586	1686	30.77%	25.66%	43.56%	-0.32	+7.7	13
2014-11-01	@ Ried	L 0-1	61.4	1686	1586	43.56%	25.66%	30.77%	+0.32	-7.7	28
2014-11-02	Rapid Wien	W 2-0	60.2	1607	1731	27.93%	25.34%	46.73%	-0.48	+15.3	21
2014-11-02	@ SCR Altach	L 0-2	60.2	1731	1607	46.73%	25.34%	27.93%	+0.48	-15.3	22
2014-11-05	Grodig	L 2-4	59.6	1495	1607	29.44%	25.53%	45.03%	-0.40	-8.3	8
2014-11-05	@ Wiener Neustadter	W 4-2	59.6	1607	1495	45.03%	25.53%	29.44%	+0.40	+8.3	18
2014-11-08	Ried	L 0-1	61.3	1615	1593	47.60%	25.23%	27.17%	+0.53	-8.2	18
2014-11-08	@ Grodig	W 1-0	61.3	1593	1615	27.17%	25.23%	47.60%	-0.53	+8.2	16
2014-11-08	Sturm Graz	L 0-2	60.7	1679	1642	49.56%	24.93%	25.51%	+0.63	-16.1	28
2014-11-08	@ Wolfsberg	W 2-0	60.7	1642	1679	25.51%	24.93%	49.56%	-0.63	+16.1	22
2014-11-08	Wiener Neustadter	D 1-1	65.5	1584	1487	56.91%	23.31%	19.78%	+1.05	-1.4	15
2014-11-08	@ Admira Wacker	D 1-1	65.5	1487	1584	19.78%	23.31%	56.91%	-1.05	+1.4	9
2014-11-09	Austria Wien	L 2-3	74.7	1716	1661	51.84%	24.52%	23.65%	+0.76	-7.9	22
2014-11-09	@ Rapid Wien	W 3-2	74.7	1661	1716	23.65%	24.52%	51.84%	-0.76	+7.9	19
2014-11-09	Salzburg	W 4-1	66.9	1622	1848	18.24%	22.67%	59.09%	-1.19	+22.8	24
2014-11-09	@ SCR Altach	L 1-4	66.9	1848	1622	59.09%	22.67%	18.24%	+1.19	-22.8	31
2014-11-22	Admira Wacker	W 4-0	48.0	1669	1583	55.67%	23.64%	20.69%	+0.98	+14.9	22
2014-11-22	@ Austria Wien	L 0-4	48.0	1583	1669	20.69%	23.64%	55.67%	-0.98	-14.9	15
2014-11-22	Rapid Wien	W 3-1	64.5	1607	1708	30.71%	25.66%	43.63%	-0.32	+12.6	21
2014-11-22	@ Grodig	L 1-3	64.5	1708	1607	43.63%	25.66%	30.71%	+0.32	-12.6	22
2014-11-22	SCR Altach	W 2-1	63.7	1602	1645	38.58%	25.91%	35.51%	+0.07	+6.2	19
2014-11-22	@ Ried	L 1-2	63.7	1645	1602	35.51%	25.91%	38.58%	-0.07	-6.2	24
2014-11-22	Wolfsberg	W 2-0	58.3	1488	1663	22.63%	24.25%	53.11%	-0.83	+17.0	12
2014-11-22	@ Wiener Neustadter	L 0-2	58.3	1663	1488	53.11%	24.25%	22.63%	+0.83	-17.0	28
2014-11-23	Salzburg	L 1-2	61.8	1658	1825	23.32%	24.44%	52.24%	-0.78	-4.4	22
2014-11-23	@ Sturm Graz	W 2-1	61.8	1825	1658	52.24%	24.44%	23.32%	+0.78	+4.4	34
2014-11-29	Austria Wien	D 1-1	70.1	1608	1684	33.99%	25.86%	40.15%	-0.15	+0.2	20
2014-11-29	@ Ried	D 1-1	70.1	1684	1608	40.15%	25.86%	33.99%	+0.15	-0.2	23
2014-11-29	Grodig	W 3-1	58.7	1639	1619	47.33%	25.26%	27.41%	+0.52	+8.8	27
2014-11-29	@ SCR Altach	L 1-3	58.7	1619	1639	27.41%	25.26%	47.33%	-0.52	-8.8	21
2014-11-29	Sturm Graz	L 0-2	54.4	1568	1654	32.71%	25.80%	41.49%	-0.22	-11.6	15
2014-11-29	@ Admira Wacker	W 2-0	54.4	1654	1568	41.49%	25.80%	32.71%	+0.22	+11.6	25
2014-11-29	Wiener Neustadter	W 3-0	44.3	1696	1505	66.79%	19.81%	13.40%	+1.70	+7.3	25
2014-11-29	@ Rapid Wien	L 0-3	44.3	1505	1696	13.40%	19.81%	66.79%	-1.70	-7.3	12
2014-11-30	Wolfsberg	D 2-2	78.7	1829	1646	66.18%	20.07%	13.75%	+1.65	-1.6	35
2014-11-30	@ Salzburg	D 2-2	78.7	1646	1829	13.75%	20.07%	66.18%	-1.65	+1.6	29
2014-12-06	Admira Wacker	W 5-0	47.5	1611	1556	51.80%	24.52%	23.67%	+0.76	+20.8	24
2014-12-06	@ Grodig	L 0-5	47.5	1556	1611	23.67%	24.52%	51.80%	-0.76	-20.8	15
2014-12-06	Ried	W 3-1	57.5	1665	1608	52.13%	24.46%	23.41%	+0.78	+7.6	28
2014-12-06	@ Sturm Graz	L 1-3	57.5	1608	1665	23.41%	24.46%	52.13%	-0.78	-7.6	20
2014-12-06	Salzburg	L 2-4	64.2	1684	1828	25.70%	24.97%	49.33%	-0.62	-7.4	23
2014-12-06	@ Austria Wien	W 4-2	64.2	1828	1684	49.33%	24.97%	25.70%	+0.62	+7.4	38
2014-12-06	SCR Altach	W 2-0	57.5	1498	1648	25.10%	24.85%	50.05%	-0.66	+16.2	15
2014-12-06	@ Wiener Neustadter	L 0-2	57.5	1648	1498	50.05%	24.85%	25.10%	+0.66	-16.2	27
2014-12-07	Rapid Wien	D 1-1	70.8	1647	1703	36.86%	25.92%	37.22%	-0.01	+0.0	30
2014-12-07	@ Wolfsberg	D 1-1	70.8	1703	1647	37.22%	25.92%	36.86%	+0.01	-0.0	26
2014-12-13	Grodig	W 1-0	55.9	1676	1631	50.59%	24.75%	24.65%	+0.69	+4.9	26
2014-12-13	@ Austria Wien	L 0-1	55.9	1631	1676	24.65%	24.75%	50.59%	-0.69	-4.9	24
2014-12-13	Sturm Graz	W 2-0	56.5	1632	1673	38.94%	25.90%	35.16%	+0.09	+12.3	30
2014-12-13	@ SCR Altach	L 0-2	56.5	1673	1632	35.16%	25.90%	38.94%	-0.09	-12.3	28
2014-12-13	Wiener Neustadter	W 6-0	45.5	1600	1514	55.61%	23.66%	20.73%	+0.98	+21.9	23
2014-12-13	@ Ried	L 0-6	45.5	1514	1600	20.73%	23.66%	55.61%	-0.98	-21.9	15
2014-12-13	Wolfsberg	W 2-1	65.1	1535	1647	29.39%	25.52%	45.08%	-0.40	+7.5	18
2014-12-13	@ Admira Wacker	L 1-2	65.1	1647	1535	45.08%	25.52%	29.39%	+0.40	-7.4	30
2014-12-14	Rapid Wien	L 1-2	72.5	1835	1703	60.86%	22.09%	17.05%	+1.30	-9.5	38
2014-12-14	@ Salzburg	W 2-1	72.5	1703	1835	17.05%	22.09%	60.86%	-1.30	+9.5	29
2015-02-14	Admira Wacker	W 2-0	48.8	1644	1543	57.39%	23.18%	19.44%	+1.08	+7.4	33
2015-02-14	@ SCR Altach	L 0-2	48.8	1543	1644	19.44%	23.18%	57.39%	-1.08	-7.4	18
2015-02-14	Ried	W 3-0	49.7	1712	1622	56.10%	23.53%	20.37%	+1.00	+11.3	32
2015-02-14	@ Rapid Wien	L 0-3	49.7	1622	1712	20.37%	23.53%	56.10%	-1.00	-11.3	23
2015-02-14	Salzburg	L 0-2	47.3	1492	1826	11.62%	18.35%	70.03%	-1.94	-4.3	15
2015-02-14	@ Wiener Neustadter	W 2-0	47.3	1826	1492	70.03%	18.35%	11.62%	+1.94	+4.3	41
2015-02-15	Austria Wien	W 1-0	59.6	1640	1681	38.88%	25.90%	35.21%	+0.09	+6.5	33
2015-02-15	@ Wolfsberg	L 0-1	59.6	1681	1640	35.21%	25.90%	38.88%	-0.09	-6.5	26
2015-02-21	SCR Altach	W 5-2	60.0	1675	1651	47.82%	25.20%	26.99%	+0.54	+10.6	29
2015-02-21	@ Austria Wien	L 2-5	60.0	1651	1675	26.99%	25.20%	47.82%	-0.54	-10.6	33
2015-02-21	Wiener Neustadter	D 3-3	78.2	1661	1488	65.03%	20.54%	14.43%	+1.57	-1.2	29
2015-02-21	@ Sturm Graz	D 3-3	78.2	1488	1661	14.43%	20.54%	65.03%	-1.57	+1.2	16
2015-02-22	Rapid Wien	D 1-1	70.3	1535	1724	21.32%	23.85%	54.83%	-0.93	+1.3	19
2015-02-22	@ Admira Wacker	D 1-1	70.3	1724	1535	54.83%	23.85%	21.32%	+0.93	-1.3	33
2015-02-22	Salzburg	D 2-2	77.7	1611	1830	18.73%	22.88%	58.39%	-1.14	+1.2	24
2015-02-22	@ Ried	D 2-2	77.7	1830	1611	58.39%	22.88%	18.73%	+1.14	-1.2	42
2015-02-28	Admira Wacker	D 2-2	73.2	1612	1537	54.37%	23.96%	21.66%	+0.90	-0.9	25
2015-02-28	@ Ried	D 2-2	73.2	1537	1612	21.66%	23.96%	54.37%	-0.90	+0.9	20
2015-02-28	Austria Wien	W 1-0	62.5	1489	1685	20.65%	23.63%	55.72%	-0.98	+9.4	19
2015-02-28	@ Wiener Neustadter	L 0-1	62.5	1685	1489	55.72%	23.63%	20.65%	+0.98	-9.4	29
2015-02-28	Sturm Graz	W 1-0	56.0	1722	1659	52.86%	24.31%	22.84%	+0.82	+4.6	36
2015-02-28	@ Rapid Wien	L 0-1	56.0	1659	1722	22.84%	24.31%	52.86%	-0.82	-4.6	29
2015-02-28	Wolfsberg	W 1-0	57.6	1641	1646	43.94%	25.63%	30.43%	+0.34	+5.8	36
2015-02-28	@ SCR Altach	L 0-1	57.6	1646	1641	30.43%	25.63%	43.94%	-0.34	-5.8	33
2015-03-01	Grodig	W 3-1	54.4	1829	1627	67.97%	19.29%	12.74%	+1.78	+4.1	45
2015-03-01	@ Salzburg	L 1-3	54.4	1627	1829	12.74%	19.29%	67.97%	-1.78	-4.1	24
2015-03-03	Austria Wien	W 2-1	63.9	1655	1676	41.76%	25.79%	32.45%	+0.23	+5.8	32
2015-03-03	@ Sturm Graz	L 1-2	63.9	1676	1655	32.45%	25.79%	41.76%	-0.23	-5.8	29
2015-03-04	Ried	L 1-2	67.4	1640	1611	48.57%	25.09%	26.34%	+0.58	-7.9	33
2015-03-04	@ Wolfsberg	W 2-1	67.4	1611	1640	26.34%	25.09%	48.57%	-0.58	+7.9	28
2015-03-04	Salzburg	L 1-4	51.9	1538	1833	13.60%	19.96%	66.44%	-1.67	-6.3	20
2015-03-04	@ Admira Wacker	W 4-1	51.9	1833	1538	66.44%	19.96%	13.60%	+1.67	+6.3	48
2015-03-04	SCR Altach	W 1-0	55.3	1727	1647	54.94%	23.83%	21.23%	+0.94	+4.3	39
2015-03-04	@ Rapid Wien	L 0-1	55.3	1647	1727	21.23%	23.83%	54.94%	-0.94	-4.3	36
2015-03-04	Wiener Neustadter	L 1-3	64.3	1622	1499	59.90%	22.41%	17.69%	+1.24	-16.3	24
2015-03-04	@ Grodig	W 3-1	64.3	1499	1622	17.69%	22.41%	59.90%	-1.24	+16.3	22
2015-03-07	Admira Wacker	D 0-0	59.7	1515	1531	42.48%	25.74%	31.78%	+0.27	-0.4	23
2015-03-07	@ Wiener Neustadter	D 0-0	59.7	1531	1515	31.78%	25.74%	42.48%	-0.27	+0.4	21
2015-03-07	Grodig	W 2-1	60.9	1619	1606	46.43%	25.38%	28.19%	+0.47	+5.2	31
2015-03-07	@ Ried	L 1-2	60.9	1606	1619	28.19%	25.38%	46.43%	-0.47	-5.2	24
2015-03-07	SCR Altach	L 0-1	68.5	1839	1642	67.45%	19.52%	13.03%	+1.75	-11.0	48
2015-03-07	@ Salzburg	W 1-0	68.5	1642	1839	13.03%	19.52%	67.45%	-1.75	+11.0	39
2015-03-07	Wolfsberg	W 2-0	53.5	1660	1632	48.42%	25.11%	26.47%	+0.57	+9.8	35
2015-03-07	@ Sturm Graz	L 0-2	53.5	1632	1660	26.47%	25.11%	48.42%	-0.57	-9.8	33
2015-03-08	Rapid Wien	W 2-1	66.2	1670	1731	36.10%	25.92%	37.98%	-0.05	+6.5	32
2015-03-08	@ Austria Wien	L 1-2	66.2	1731	1670	37.98%	25.92%	36.10%	+0.05	-6.5	39
2015-03-11	Sturm Graz	L 0-2	55.9	1601	1670	34.94%	25.90%	39.16%	-0.10	-12.2	24
2015-03-11	@ Grodig	W 2-0	55.9	1670	1601	39.16%	25.90%	34.94%	+0.10	+12.2	38
2015-03-14	Austria Wien	D 1-1	69.0	1532	1677	25.60%	24.95%	49.45%	-0.63	+0.9	22
2015-03-14	@ Admira Wacker	D 1-1	69.0	1677	1532	49.45%	24.95%	25.60%	+0.63	-0.9	33
2015-03-14	Grodig	W 4-0	47.2	1725	1589	61.24%	21.96%	16.80%	+1.32	+12.2	42
2015-03-14	@ Rapid Wien	L 0-4	47.2	1589	1725	16.80%	21.96%	61.24%	-1.32	-12.2	24
2015-03-14	Ried	W 2-1	61.2	1653	1624	48.55%	25.09%	26.36%	+0.58	+4.9	42
2015-03-14	@ SCR Altach	L 1-2	61.2	1624	1653	26.36%	25.09%	48.55%	-0.58	-4.9	31
2015-03-14	Wiener Neustadter	W 2-0	47.3	1623	1515	58.15%	22.95%	18.90%	+1.13	+7.2	36
2015-03-14	@ Wolfsberg	L 0-2	47.3	1515	1623	18.90%	22.95%	58.15%	-1.13	-7.2	23
2015-03-15	Sturm Graz	W 2-1	58.9	1828	1683	62.28%	21.59%	16.13%	+1.39	+3.1	51
2015-03-15	@ Salzburg	L 1-2	58.9	1683	1828	16.13%	21.59%	62.28%	-1.39	-3.1	38
2015-03-18	Wolfsberg	W 2-0	55.3	1577	1630	37.21%	25.92%	36.87%	+0.01	+12.8	27
2015-03-18	@ Grodig	L 0-2	55.3	1630	1577	36.87%	25.92%	37.21%	-0.01	-12.8	36
2015-03-21	Admira Wacker	W 3-1	53.3	1679	1533	62.41%	21.54%	16.05%	+1.40	+5.3	41
2015-03-21	@ Sturm Graz	L 1-3	53.3	1533	1679	16.05%	21.54%	62.41%	-1.40	-5.3	22
2015-03-21	Ried	L 0-1	63.9	1676	1619	52.03%	24.48%	23.49%	+0.77	-8.9	33
2015-03-21	@ Austria Wien	W 1-0	63.9	1619	1676	23.49%	24.48%	52.03%	-0.77	+8.9	34
2015-03-21	Salzburg	W 3-2	76.5	1617	1831	19.12%	23.05%	57.84%	-1.11	+8.7	39
2015-03-21	@ Wolfsberg	L 2-3	76.5	1831	1617	57.84%	23.05%	19.12%	+1.11	-8.7	51
2015-03-21	SCR Altach	L 0-1	58.5	1589	1658	35.00%	25.90%	39.10%	-0.10	-6.5	27
2015-03-21	@ Grodig	W 1-0	58.5	1658	1589	39.10%	25.90%	35.00%	+0.10	+6.5	45
2015-03-22	Rapid Wien	L 0-1	52.3	1508	1737	17.94%	22.52%	59.54%	-1.21	-3.6	23
2015-03-22	@ Wiener Neustadter	W 1-0	52.3	1737	1508	59.54%	22.52%	17.94%	+1.21	+3.6	45
2015-04-04	Austria Wien	W 3-1	55.9	1823	1667	63.33%	21.20%	15.47%	+1.46	+5.1	54
2015-04-04	@ Salzburg	L 1-3	55.9	1667	1823	15.47%	21.20%	63.33%	-1.46	-5.1	33
2015-04-04	Grodig	L 2-3	65.7	1527	1583	36.89%	25.92%	37.19%	-0.01	-6.0	22
2015-04-04	@ Admira Wacker	W 3-2	65.7	1583	1527	37.19%	25.92%	36.89%	+0.01	+6.0	30
2015-04-04	Wolfsberg	W 4-1	54.1	1740	1626	58.91%	22.72%	18.37%	+1.17	+8.6	48
2015-04-04	@ Rapid Wien	L 1-4	54.1	1626	1740	18.37%	22.72%	58.91%	-1.17	-8.6	39
2015-04-05	Sturm Graz	L 1-2	65.0	1628	1685	36.75%	25.92%	37.33%	-0.01	-6.4	34
2015-04-05	@ Ried	W 2-1	65.0	1685	1628	37.33%	25.92%	36.75%	+0.01	+6.4	44
2015-04-11	Admira Wacker	W 2-0	47.7	1617	1521	56.78%	23.35%	19.87%	+1.04	+7.6	42
2015-04-11	@ Wolfsberg	L 0-2	47.7	1521	1617	19.87%	23.35%	56.78%	-1.04	-7.6	22
2015-04-11	Austria Wien	D 1-1	69.5	1589	1662	34.44%	25.88%	39.68%	-0.13	+0.2	31
2015-04-11	@ Grodig	D 1-1	69.5	1662	1589	39.68%	25.88%	34.44%	+0.13	-0.2	34
2015-04-11	Ried	L 0-1	53.5	1504	1622	28.66%	25.44%	45.91%	-0.44	-5.6	23
2015-04-11	@ Wiener Neustadter	W 1-0	53.5	1622	1504	45.91%	25.44%	28.66%	+0.44	+5.6	37
2015-04-11	SCR Altach	W 5-0	51.8	1691	1665	48.21%	25.14%	26.65%	+0.56	+23.1	47
2015-04-11	@ Sturm Graz	L 0-5	51.8	1665	1691	26.65%	25.14%	48.21%	-0.56	-23.1	45
2015-04-12	Salzburg	D 3-3	81.3	1749	1828	33.66%	25.85%	40.49%	-0.17	+0.2	49
2015-04-12	@ Rapid Wien	D 3-3	81.3	1828	1749	40.49%	25.85%	33.66%	+0.17	-0.2	55
2015-04-15	Wiener Neustadter	W 3-1	51.6	1642	1498	62.03%	21.68%	16.29%	+1.37	+5.4	48
2015-04-15	@ SCR Altach	L 1-3	51.6	1498	1642	16.29%	21.68%	62.03%	-1.37	-5.4	23
2015-04-18	Grodig	W 2-1	58.1	1714	1589	60.07%	22.35%	17.58%	+1.25	+3.4	50
2015-04-18	@ Sturm Graz	L 1-2	58.1	1589	1714	17.58%	22.35%	60.07%	-1.25	-3.4	31
2015-04-18	Rapid Wien	L 0-1	57.9	1627	1749	28.21%	25.38%	46.41%	-0.47	-5.5	37
2015-04-18	@ Ried	W 1-0	57.9	1749	1627	46.41%	25.38%	28.21%	+0.47	+5.5	52
2015-04-18	SCR Altach	D 2-2	73.1	1514	1647	26.88%	25.18%	47.94%	-0.55	+0.6	23
2015-04-18	@ Admira Wacker	D 2-2	73.1	1647	1514	47.94%	25.18%	26.88%	+0.55	-0.6	49
2015-04-18	Wiener Neustadter	W 6-0	42.7	1828	1493	79.10%	13.66%	7.25%	+2.70	+6.8	58
2015-04-18	@ Salzburg	L 0-6	42.7	1493	1828	7.25%	13.66%	79.10%	-2.70	-6.8	23
2015-04-19	Wolfsberg	D 1-1	70.3	1662	1625	49.56%	24.93%	25.51%	+0.63	-0.9	35
2015-04-19	@ Austria Wien	D 1-1	70.3	1625	1662	25.51%	24.93%	49.56%	-0.63	+0.9	43
2015-04-25	Admira Wacker	D 1-1	72.3	1755	1514	71.49%	17.65%	10.86%	+2.05	-2.4	53
2015-04-25	@ Rapid Wien	D 1-1	72.3	1514	1755	10.86%	17.65%	71.49%	-2.05	+2.4	24
2015-04-25	Grodig	W 2-1	59.6	1626	1586	49.97%	24.86%	25.17%	+0.66	+4.7	46
2015-04-25	@ Wolfsberg	L 1-2	59.6	1586	1626	25.17%	24.86%	49.97%	-0.66	-4.7	31
2015-04-25	Ried	W 2-1	56.7	1834	1622	68.93%	18.86%	12.21%	+1.85	+2.3	61
2015-04-25	@ Salzburg	L 1-2	56.7	1622	1834	12.21%	18.86%	68.93%	-1.85	-2.3	37
2015-04-25	Sturm Graz	D 4-4	81.0	1486	1718	17.78%	22.45%	59.77%	-1.23	+0.9	24
2015-04-25	@ Wiener Neustadter	D 4-4	81.0	1718	1486	59.77%	22.45%	17.78%	+1.23	-0.9	51
2015-04-26	Austria Wien	W 2-0	55.4	1646	1661	42.72%	25.73%	31.55%	+0.28	+11.3	52
2015-04-26	@ SCR Altach	L 0-2	55.4	1661	1646	31.55%	25.73%	42.72%	-0.28	-11.3	35
2015-05-02	Ried	W 1-0	58.5	1517	1620	30.48%	25.64%	43.88%	-0.34	+7.7	27
2015-05-02	@ Admira Wacker	L 0-1	58.5	1620	1517	43.88%	25.64%	30.48%	+0.34	-7.7	37
2015-05-02	Salzburg	L 0-3	48.4	1581	1837	16.06%	21.55%	62.39%	-1.40	-8.9	31
2015-05-02	@ Grodig	W 3-0	48.4	1837	1581	62.39%	21.55%	16.06%	+1.40	+8.9	64
2015-05-02	SCR Altach	W 2-0	55.7	1630	1658	40.90%	25.83%	33.26%	+0.19	+11.8	49
2015-05-02	@ Wolfsberg	L 0-2	55.7	1658	1630	33.26%	25.83%	40.90%	-0.19	-11.8	52
2015-05-02	Wiener Neustadter	W 2-1	53.5	1649	1487	64.02%	20.94%	15.04%	+1.51	+2.8	38
2015-05-02	@ Austria Wien	L 1-2	53.5	1487	1649	15.04%	20.94%	64.02%	-1.51	-2.8	24
2015-05-03	Rapid Wien	D 2-2	77.0	1717	1752	39.74%	25.88%	34.38%	+0.13	-0.2	52
2015-05-03	@ Sturm Graz	D 2-2	77.0	1752	1717	34.38%	25.88%	39.74%	-0.13	+0.1	54
2015-05-09	Admira Wacker	W 4-0	42.7	1846	1524	78.10%	14.21%	7.69%	+2.61	+5.0	67
2015-05-09	@ Salzburg	L 0-4	42.7	1524	1846	7.69%	14.21%	78.10%	-2.61	-5.0	27
2015-05-09	Grodig	L 2-4	59.0	1484	1572	32.42%	25.79%	41.79%	-0.23	-9.0	24
2015-05-09	@ Wiener Neustadter	W 4-2	59.0	1572	1484	41.79%	25.79%	32.42%	+0.23	+9.0	34
2015-05-09	Sturm Graz	D 0-0	66.8	1652	1717	35.65%	25.91%	38.44%	-0.07	+0.1	39
2015-05-09	@ Austria Wien	D 0-0	66.8	1717	1652	38.44%	25.91%	35.65%	+0.07	-0.1	53
2015-05-09	Wolfsberg	W 4-0	52.6	1612	1642	40.50%	25.85%	33.65%	+0.17	+22.6	40
2015-05-09	@ Ried	L 0-4	52.6	1642	1612	33.65%	25.85%	40.50%	-0.17	-22.6	49
2015-05-10	Rapid Wien	L 1-3	61.1	1646	1752	30.06%	25.60%	44.35%	-0.36	-9.4	52
2015-05-10	@ SCR Altach	W 3-1	61.1	1752	1646	44.35%	25.60%	30.06%	+0.36	+9.4	57
2015-05-16	Ried	W 3-2	68.5	1581	1635	37.18%	25.92%	36.90%	+0.01	+6.1	37
2015-05-16	@ Grodig	L 2-3	68.5	1635	1581	36.90%	25.92%	37.18%	-0.01	-6.0	40
2015-05-16	Salzburg	D 2-2	77.9	1637	1851	19.13%	23.05%	57.82%	-1.11	+1.1	53
2015-05-16	@ SCR Altach	D 2-2	77.9	1851	1637	57.82%	23.05%	19.13%	+1.11	-1.1	68
2015-05-16	Sturm Graz	W 1-0	62.0	1620	1716	31.28%	25.71%	43.02%	-0.29	+7.6	52
2015-05-16	@ Wolfsberg	L 0-1	62.0	1716	1620	43.02%	25.71%	31.28%	+0.29	-7.6	53
2015-05-16	Wiener Neustadter	D 0-0	58.1	1519	1475	50.50%	24.77%	24.73%	+0.69	-1.1	28
2015-05-16	@ Admira Wacker	D 0-0	58.1	1475	1519	24.73%	24.77%	50.50%	-0.69	+1.1	25
2015-05-17	Austria Wien	W 4-1	54.6	1762	1652	58.32%	22.90%	18.77%	+1.14	+8.8	60
2015-05-17	@ Rapid Wien	L 1-4	54.6	1652	1762	18.77%	22.90%	58.32%	-1.14	-8.8	39
2015-05-19	SCR Altach	W 4-1	57.5	1629	1638	43.44%	25.67%	30.89%	+0.32	+13.6	43
2015-05-19	@ Ried	L 1-4	57.5	1638	1629	30.89%	25.67%	43.44%	-0.32	-13.6	53
2015-05-20	Admira Wacker	L 0-1	63.1	1644	1518	60.08%	22.35%	17.57%	+1.25	-10.0	39
2015-05-20	@ Austria Wien	W 1-0	63.1	1518	1644	17.57%	22.35%	60.08%	-1.25	+10.0	31
2015-05-20	Salzburg	D 0-0	67.9	1709	1849	26.07%	25.04%	48.89%	-0.60	+1.0	54
2015-05-20	@ Sturm Graz	D 0-0	67.9	1849	1709	48.89%	25.04%	26.07%	+0.60	-1.0	69
2015-05-20	Wolfsberg	W 2-0	56.2	1476	1627	24.96%	24.82%	50.22%	-0.67	+16.3	28
2015-05-20	@ Wiener Neustadter	L 0-2	56.2	1627	1476	50.22%	24.82%	24.96%	+0.67	-16.2	52
2015-05-24	Austria Wien	L 0-2	59.1	1642	1634	45.85%	25.44%	28.71%	+0.44	-15.1	43
2015-05-24	@ Ried	W 2-0	59.1	1634	1642	28.71%	25.44%	45.85%	-0.44	+15.1	42
2015-05-24	Grodig	W 2-0	51.7	1624	1587	49.56%	24.93%	25.50%	+0.63	+9.5	56
2015-05-24	@ SCR Altach	L 0-2	51.7	1587	1624	25.50%	24.93%	49.56%	-0.63	-9.5	37
2015-05-24	Sturm Graz	L 1-2	58.9	1528	1710	21.95%	24.05%	54.00%	-0.88	-4.2	31
2015-05-24	@ Admira Wacker	W 2-1	58.9	1710	1528	54.00%	24.05%	21.95%	+0.88	+4.2	57
2015-05-24	Wiener Neustadter	D 0-0	68.5	1771	1493	74.71%	16.03%	9.26%	+2.31	-2.9	61
2015-05-24	@ Rapid Wien	D 0-0	68.5	1493	1771	9.26%	16.03%	74.71%	-2.31	+2.9	29
2015-05-24	Wolfsberg	W 3-0	46.0	1848	1611	71.23%	17.78%	10.99%	+2.03	+5.8	72
2015-05-24	@ Salzburg	L 0-3	46.0	1611	1848	10.99%	17.78%	71.23%	-2.03	-5.8	52
2015-05-27	Rapid Wien	L 0-2	52.1	1578	1768	21.16%	23.80%	55.04%	-0.94	-8.0	37
2015-05-27	@ Grodig	W 2-0	52.1	1768	1578	55.04%	23.80%	21.16%	+0.94	+8.0	64
2015-05-31	Admira Wacker	L 0-1	58.9	1570	1524	50.66%	24.74%	24.60%	+0.69	-8.7	37
2015-05-31	@ Grodig	W 1-0	58.9	1524	1570	24.60%	24.74%	50.66%	-0.69	+8.7	34
2015-05-31	Rapid Wien	L 0-5	50.6	1605	1776	22.97%	24.34%	52.68%	-0.81	-20.3	52
2015-05-31	@ Wolfsberg	W 5-0	50.6	1776	1605	52.68%	24.34%	22.97%	+0.81	+20.3	67
2015-05-31	Ried	D 0-0	67.2	1714	1627	55.72%	23.63%	20.65%	+0.98	-1.5	58
2015-05-31	@ Sturm Graz	D 0-0	67.2	1627	1714	20.65%	23.63%	55.72%	-0.98	+1.5	44
2015-05-31	Salzburg	D 1-1	72.5	1649	1854	19.82%	23.32%	56.86%	-1.05	+1.4	43
2015-05-31	@ Austria Wien	D 1-1	72.5	1854	1649	56.86%	23.32%	19.82%	+1.05	-1.4	73
2015-05-31	SCR Altach	L 0-1	52.8	1495	1634	26.35%	25.09%	48.56%	-0.58	-5.2	29
2015-05-31	@ Wiener Neustadter	W 1-0	52.8	1634	1495	48.56%	25.09%	26.35%	+0.58	+5.2	59

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2014-08-30	10.81%	Sturm Graz	1621	3	@ Salzburg	1863	2
2	2015-03-07	13.03%	SCR Altach	1642	1	@ Salzburg	1839	0
3	2014-08-30	14.40%	Wiener Neustadter	1521	1	@ Wolfsberg	1694	0
4	2014-09-21	15.44%	Austria Wien	1687	3	@ Salzburg	1844	2
5	2014-12-14	17.05%	Rapid Wien	1703	2	@ Salzburg	1835	1
6	2015-05-20	17.57%	Admira Wacker	1518	1	@ Austria Wien	1644	0
7	2015-03-04	17.69%	Wiener Neustadter	1499	3	@ Grodig	1622	1
8	2014-08-16	18.19%	SCR Altach	1579	1	@ Rapid Wien	1696	0
9	2014-11-09	18.24%	@ SCR Altach	1622	4	Salzburg	1848	1
10	2015-03-21	19.12%	@ Wolfsberg	1617	3	Salzburg	1831	2
11	2014-10-18	19.50%	Grodig	1596	2	@ Wolfsberg	1697	1
12	2015-02-28	20.65%	@ Wiener Neustadter	1489	1	Austria Wien	1685	0
13	2014-11-01	22.26%	Sturm Graz	1617	3	@ Austria Wien	1686	0
14	2014-11-22	22.63%	@ Wiener Neustadter	1488	2	Wolfsberg	1663	0
15	2014-09-14	23.11%	@ Wolfsberg	1683	1	Salzburg	1853	0
16	2015-03-21	23.49%	Ried	1619	1	@ Austria Wien	1676	0
17	2014-11-09	23.65%	Austria Wien	1661	3	@ Rapid Wien	1716	2
18	2015-05-31	24.60%	Admira Wacker	1524	1	@ Grodig	1570	0
19	2015-05-20	24.96%	@ Wiener Neustadter	1476	2	Wolfsberg	1627	0
20	2014-09-13	25.02%	Admira Wacker	1590	2	@ Sturm Graz	1632	0
21	2014-12-06	25.10%	@ Wiener Neustadter	1498	2	SCR Altach	1648	0
22	2014-11-08	25.51%	Sturm Graz	1642	2	@ Wolfsberg	1679	0
23	2015-03-04	26.34%	Ried	1611	2	@ Wolfsberg	1640	1
24	2014-11-08	27.17%	Ried	1593	1	@ Grodig	1615	0
25	2014-11-02	27.93%	@ SCR Altach	1607	2	Rapid Wien	1731	0

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2014-07-26	26.47	@ Wolfsberg	4	1631	32.67%	Austria Wien	0	1717	41.53%	25.80%
2	2014-11-01	24.93	Sturm Graz	3	1617	22.26%	@ Austria Wien	0	1686	53.60%	24.14%
3	2015-04-11	23.07	@ Sturm Graz	5	1691	48.21%	SCR Altach	0	1665	26.65%	25.14%
4	2014-11-09	22.81	@ SCR Altach	4	1622	18.24%	Salzburg	1	1848	59.09%	22.67%
5	2015-05-09	22.58	@ Ried	4	1612	40.50%	Wolfsberg	0	1642	33.65%	25.85%
6	2014-12-13	21.91	@ Ried	6	1600	55.61%	Wiener Neustadter	0	1514	20.73%	23.66%
7	2014-12-06	20.83	@ Grodig	5	1611	51.80%	Admira Wacker	0	1556	23.67%	24.52%
8	2015-05-31	20.28	Rapid Wien	5	1776	52.68%	@ Wolfsberg	0	1605	22.97%	24.34%
9	2014-07-19	17.47	Wolfsberg	4	1614	31.56%	@ Admira Wacker	1	1599	42.71%	25.73%
10	2014-11-22	17.04	@ Wiener Neustadter	2	1488	22.63%	Wolfsberg	0	1663	53.11%	24.25%
11	2015-03-04	16.31	Wiener Neustadter	3	1499	17.69%	@ Grodig	1	1622	59.90%	22.41%
12	2015-05-20	16.26	@ Wiener Neustadter	2	1476	24.96%	Wolfsberg	0	1627	50.22%	24.82%
13	2014-08-10	16.25	@ Salzburg	8	1829	69.28%	Grodig	0	1613	12.02%	18.70%
14	2014-09-13	16.24	Admira Wacker	2	1590	25.02%	@ Sturm Graz	0	1632	50.15%	24.83%
15	2014-12-06	16.21	@ Wiener Neustadter	2	1498	25.10%	SCR Altach	0	1648	50.05%	24.85%
16	2014-11-08	16.08	Sturm Graz	2	1642	25.51%	@ Wolfsberg	0	1679	49.56%	24.93%
17	2014-07-19	15.45	@ Salzburg	6	1792	55.27%	Rapid Wien	1	1709	20.99%	23.74%
18	2014-11-02	15.33	@ SCR Altach	2	1607	27.93%	Rapid Wien	0	1731	46.73%	25.34%
19	2014-10-04	15.31	Wolfsberg	2	1682	27.98%	@ Austria Wien	0	1696	46.67%	25.35%
20	2014-10-04	15.19	SCR Altach	2	1590	28.38%	@ Admira Wacker	0	1602	46.22%	25.40%
21	2014-08-13	15.19	Admira Wacker	2	1583	28.40%	@ SCR Altach	0	1594	46.20%	25.40%
22	2015-05-24	15.09	Austria Wien	2	1634	28.71%	@ Ried	0	1642	45.85%	25.44%
23	2014-11-22	14.93	@ Austria Wien	4	1669	55.67%	Admira Wacker	0	1583	20.69%	23.64%
24	2014-09-20	14.83	@ Rapid Wien	3	1709	46.93%	Wolfsberg	0	1692	27.76%	25.31%
25	2014-09-17	14.11	Rapid Wien	5	1695	51.74%	@ Wiener Neustadter	1	1532	23.72%	24.54%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2015-04-12	81.3	@ Rapid Wien	3	1749	33.66%	Salzburg	3	1828	40.49%	25.85%
2	2015-04-25	81.0	@ Wiener Neustadter	4	1486	17.78%	Sturm Graz	4	1718	59.77%	22.45%
3	2014-08-30	79.2	Sturm Graz	3	1621	10.81%	@ Salzburg	2	1863	71.57%	17.61%
4	2014-11-30	78.7	@ Salzburg	2	1829	66.18%	Wolfsberg	2	1646	13.75%	20.07%
5	2015-02-21	78.2	@ Sturm Graz	3	1661	65.03%	Wiener Neustadter	3	1488	14.43%	20.54%
6	2014-09-21	78.0	Austria Wien	3	1687	15.44%	@ Salzburg	2	1844	63.37%	21.19%
7	2014-10-26	78.0	@ Grodig	2	1606	17.16%	Salzburg	2	1845	60.70%	22.14%
8	2015-05-16	77.9	@ SCR Altach	2	1637	19.13%	Salzburg	2	1851	57.82%	23.05%
9	2014-09-17	77.7	@ Grodig	3	1601	47.44%	SCR Altach	3	1581	27.32%	25.25%
10	2015-02-22	77.7	@ Ried	2	1611	18.73%	Salzburg	2	1830	58.39%	22.88%
11	2015-05-03	77.0	@ Sturm Graz	2	1717	39.74%	Rapid Wien	2	1752	34.38%	25.88%
12	2014-08-24	76.5	@ Austria Wien	2	1688	44.95%	Rapid Wien	2	1686	29.51%	25.54%
13	2015-03-21	76.5	@ Wolfsberg	3	1617	19.12%	Salzburg	2	1831	57.84%	23.05%
14	2014-11-09	74.7	Austria Wien	3	1661	23.65%	@ Rapid Wien	2	1716	51.84%	24.52%
15	2014-08-09	74.6	@ Wiener Neustadter	2	1526	23.76%	Austria Wien	2	1689	51.70%	24.55%
16	2014-09-27	74.4	@ Sturm Graz	2	1623	49.09%	SCR Altach	2	1590	25.90%	25.01%
17	2014-08-23	74.2	@ Ried	2	1601	43.62%	Grodig	2	1609	30.72%	25.66%
18	2014-08-30	73.5	@ SCR Altach	2	1581	41.94%	Ried	2	1601	32.28%	25.78%
19	2015-02-28	73.2	@ Ried	2	1612	54.37%	Admira Wacker	2	1537	21.66%	23.96%
20	2015-04-18	73.1	@ Admira Wacker	2	1514	26.88%	SCR Altach	2	1647	47.94%	25.18%
21	2014-12-14	72.5	Rapid Wien	2	1703	17.05%	@ Salzburg	1	1835	60.86%	22.09%
22	2015-05-31	72.5	@ Austria Wien	1	1649	19.82%	Salzburg	1	1854	56.86%	23.32%
23	2015-04-25	72.3	@ Rapid Wien	1	1755	71.49%	Admira Wacker	1	1514	10.86%	17.65%
24	2014-07-20	71.5	@ Austria Wien	1	1719	57.12%	Grodig	1	1620	19.63%	23.25%
25	2014-08-09	71.1	@ Rapid Wien	1	1697	53.82%	Sturm Graz	1	1626	22.09%	24.09%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2015-04-18	42.7	@ Salzburg	6	1828	79.10%	Wiener Neustadter	0	1493	7.25%	13.66%
2	2015-05-09	42.7	@ Salzburg	4	1846	78.10%	Admira Wacker	0	1524	7.69%	14.21%
3	2014-11-29	44.3	@ Rapid Wien	3	1696	66.79%	Wiener Neustadter	0	1505	13.40%	19.81%
4	2014-08-23	44.7	@ Salzburg	5	1855	73.67%	SCR Altach	0	1589	9.76%	16.57%
5	2014-12-13	45.5	@ Ried	6	1600	55.61%	Wiener Neustadter	0	1514	20.73%	23.66%
6	2015-05-24	46.0	@ Salzburg	3	1848	71.23%	Wolfsberg	0	1611	10.99%	17.78%
7	2014-08-16	46.2	@ Grodig	3	1597	53.65%	Wiener Neustadter	0	1527	22.22%	24.13%
8	2014-10-25	46.2	@ Austria Wien	2	1681	65.83%	Wiener Neustadter	0	1501	13.96%	20.21%
9	2015-03-14	47.2	@ Rapid Wien	4	1725	61.24%	Grodig	0	1589	16.80%	21.96%
10	2014-07-26	47.3	Salzburg	5	1807	62.96%	@ Wiener Neustadter	0	1546	15.70%	21.34%
11	2015-02-14	47.3	Salzburg	2	1826	70.03%	@ Wiener Neustadter	0	1492	11.62%	18.35%
12	2015-03-14	47.3	@ Wolfsberg	2	1623	58.15%	Wiener Neustadter	0	1515	18.90%	22.95%
13	2014-11-01	47.4	@ Salzburg	2	1844	72.88%	Admira Wacker	0	1588	10.15%	16.97%
14	2014-12-06	47.5	@ Grodig	5	1611	51.80%	Admira Wacker	0	1556	23.67%	24.52%
15	2014-08-10	47.7	@ Salzburg	8	1829	69.28%	Grodig	0	1613	12.02%	18.70%
16	2014-09-20	47.7	@ SCR Altach	2	1581	52.89%	Wiener Neustadter	0	1518	22.81%	24.30%
17	2015-04-11	47.7	@ Wolfsberg	2	1617	56.78%	Admira Wacker	0	1521	19.87%	23.35%
18	2014-10-05	47.8	@ Salzburg	4	1840	79.26%	Wiener Neustadter	1	1503	7.18%	13.56%
19	2014-11-22	48.0	@ Austria Wien	4	1669	55.67%	Admira Wacker	0	1583	20.69%	23.64%
20	2015-05-02	48.4	Salzburg	3	1837	62.39%	@ Grodig	0	1581	16.06%	21.55%
21	2015-02-14	48.8	@ SCR Altach	2	1644	57.39%	Admira Wacker	0	1543	19.44%	23.18%
22	2014-08-16	48.9	Salzburg	3	1845	61.47%	@ Admira Wacker	0	1598	16.65%	21.88%
23	2015-02-14	49.7	@ Rapid Wien	3	1712	56.10%	Ried	0	1622	20.37%	23.53%
24	2015-05-31	50.6	Rapid Wien	5	1776	52.68%	@ Wolfsberg	0	1605	22.97%	24.34%
25	2015-04-15	51.6	@ SCR Altach	3	1642	62.03%	Wiener Neustadter	1	1498	16.29%	21.68%