2015-16 Nemzeti Bajnokság I Season

198 games

Final

Champion

Ferencvaros

76 points · 29th Title

Last Title: 2003-04

Relegated

No relegation

Biggest Overachiever

Szombathelyi Haladas

15.16 points above expected

50 points · 34.84 expected points

Biggest Disappointment

Bekescsaba

8.70 points below expected

27 points · 35.70 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	Ferencvaros Champion	33	24	4	5	76	69	23	+46	68.15	+7.85
2	Videoton	33	17	4	12	55	42	29	+13	58.90	-3.90
3	Debrecen VSC	33	14	11	8	53	48	34	+14	54.95	-1.95
4	MTK Budapest	33	14	9	10	51	39	37	+2	50.79	+0.21
5	Szombathelyi Haladas	33	13	11	9	50	33	37	-4	34.84	+15.16
6	Ujpest	33	11	13	9	46	42	37	+5	48.71	-2.71
7	Paks	33	12	7	14	43	41	40	+1	49.09	-6.09
8	Honved	33	12	7	14	43	40	39	+1	38.59	+4.41
9	Diosgyor	33	10	8	15	38	37	47	-10	42.52	-4.52
10	Vasas	33	9	5	19	32	32	54	-22	30.57	+1.43
11	Puskas	33	7	10	16	31	35	51	-16	34.82	-3.82
12	Bekescsaba	33	6	9	18	27	25	55	-30	35.70	-8.70

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	Szombathelyi Haladas	50	34.84	+15.16
2	Ferencvaros	76	68.15	+7.85
3	Honved	43	38.59	+4.41
4	Vasas	32	30.57	+1.43
5	MTK Budapest	51	50.79	+0.21

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Bekescsaba	27	35.70	-8.70
2	Paks	43	49.09	-6.09
3	Diosgyor	38	42.52	-4.52
4	Videoton	55	58.90	-3.90
5	Puskas	31	34.82	-3.82

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	Ferencvaros	9	Jul 19 – Sep 19	1 in 359
2	Honved	3	Mar 12 – Apr 2	1 in 49
3	Videoton	4	Apr 16 – Apr 30	1 in 43
4	Ujpest	4	Oct 24 – Nov 28	1 in 32
5	Paks	5	Oct 3 – Nov 21	1 in 26

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	MTK Budapest	3	Apr 20 – Apr 30	1 in 88
2	Vasas	6	Oct 3 – Nov 28	1 in 56
3	Bekescsaba	4	Jul 19 – Aug 8	1 in 47
4	Videoton	3	Aug 8 – Aug 23	1 in 40
5	Paks	4	Apr 6 – Apr 16	1 in 22

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Szombathelyi Haladas	10	Jul 25 – Oct 3	1 in 1,680
2	Ujpest	10	Oct 24 – Feb 27	1 in 81
3	Bekescsaba	3	Feb 20 – Mar 5	1 in 30
4	Ferencvaros	14	Jul 19 – Oct 31	1 in 26
5	Paks	10	Sep 12 – Dec 2	1 in 26

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Ujpest	9	Aug 8 – Oct 17	1 in 121
2	Videoton	4	Mar 9 – Apr 2	1 in 20
3	Debrecen VSC	3	Jul 26 – Aug 9	1 in 18
4	Ferencvaros	3	Apr 16 – Apr 23	1 in 17
5	Puskas	9	Aug 29 – Nov 21	1 in 16

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
Ferencvaros	1584	76	-5	8	10.4	-2.4
Videoton	1506	55	+42	13	8.2	+4.8
Debrecen VSC	1458	53	+14	11	8.5	+2.5
MTK Budapest	1382	51	-36	4	7.6	-3.6
Szombathelyi Haladas	1310	50	+17	10	5.3	+4.7
Ujpest	1401	46	-21	3	7.0	-4.0
Honved	1351	43	-5	6	6.6	-0.6
Paks	1381	43	-3	4	6.2	-2.2
Diosgyor	1344	38	-15	4	6.5	-2.5
Vasas	1268	32	+16	8	4.9	+3.1
Puskas	1280	31	+4	7	5.5	+1.5
Bekescsaba	1282	27	+0	5	5.7	-0.7

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	BEK	DV	DIO	FER	HON	MB	PAK	PUS	SH	UJP	VAS	VID
Bekescsaba	—	0-1-2 3.00	0-2-1 3.79	0-0-3 1.73	0-0-3 3.56	0-2-1 2.66	1-0-2 2.75	3-0-0 3.80	0-1-2 3.74	1-0-2 3.36	0-1-2 5.04	1-2-0 2.10
Debrecen VSC	2-1-0 5.28	—	3-0-0 5.51	1-0-2 3.30	0-2-1 5.97	2-0-1 4.79	2-1-0 4.31	1-2-0 6.19	0-2-1 5.60	1-2-0 4.94	2-1-0 5.85	0-0-3 3.63
Diosgyor	1-2-0 4.46	0-0-3 2.80	—	0-1-2 2.09	1-0-2 4.74	0-2-1 3.29	0-2-1 3.85	2-0-1 5.14	1-1-1 4.98	1-0-2 3.14	3-0-0 4.88	1-0-2 3.17
Ferencvaros	3-0-0 6.72	2-0-1 4.96	2-1-0 6.30	—	2-0-1 6.80	1-1-1 5.99	3-0-0 6.02	2-1-0 7.03	3-0-0 6.37	1-1-1 6.13	3-0-0 6.70	2-0-1 4.67
Honved	3-0-0 4.72	1-2-0 2.38	2-0-1 3.51	1-0-2 1.67	—	1-0-2 2.91	1-1-1 3.52	1-1-1 4.24	0-1-2 4.85	0-1-2 3.05	0-1-2 5.19	2-0-1 2.86
MTK Budapest	1-2-0 5.68	1-0-2 3.47	1-2-0 4.97	1-1-1 2.36	2-0-1 5.38	—	1-1-1 4.04	2-0-1 5.65	1-1-1 5.64	1-2-0 3.72	2-0-1 5.92	1-0-2 3.15
Paks	2-0-1 5.55	0-1-2 3.94	1-2-0 4.40	0-0-3 2.35	1-1-1 4.74	1-1-1 4.20	—	1-0-2 5.11	1-0-2 5.60	1-2-0 3.83	3-0-0 5.86	1-0-2 3.66
Puskas	0-0-3 4.44	0-2-1 2.19	1-0-2 3.13	0-1-2 1.50	1-1-1 3.99	1-0-2 2.68	2-0-1 3.16	—	0-2-1 4.42	0-3-0 2.64	2-0-1 4.14	0-1-2 2.57
Szombathelyi Haladas	2-1-0 4.51	1-2-0 2.72	1-1-1 3.28	0-0-3 2.03	2-1-0 3.42	1-1-1 2.67	2-0-1 2.70	1-2-0 3.82	—	0-2-1 3.27	1-1-1 4.84	2-0-1 2.09
Ujpest	2-0-1 4.89	0-2-1 3.32	2-0-1 5.15	1-1-1 2.24	2-1-0 5.23	0-2-1 4.52	0-2-1 4.44	0-3-0 5.68	1-2-0 4.99	—	2-0-1 5.31	1-0-2 3.75
Vasas	2-1-0 3.23	0-1-2 2.48	0-0-3 3.38	0-0-3 1.76	2-1-0 3.08	1-0-2 2.43	0-0-3 2.47	1-0-2 4.10	1-1-1 3.41	1-0-2 2.97	—	1-1-1 1.92
Videoton	0-2-1 6.31	3-0-0 4.62	2-0-1 5.09	1-0-2 3.59	1-0-2 5.43	2-0-1 5.12	2-0-1 4.58	2-1-0 5.74	1-0-2 6.31	2-0-1 4.50	1-1-1 6.50	—

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	0.80	+10.9
Allowed	0.92	-12.9
Differential	0.94	+6.5

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	7.58%	12.12%	5.56%	2.78%	1.01%	1.01%	30.05%
1	12.12%	11.62%	8.59%	2.53%	0.76%	0.25%	35.86%
2	5.56%	8.59%	5.05%	2.02%	0.76%	0.25%	22.22%
3	2.78%	2.53%	2.02%	0.51%	—	—	7.83%
4	1.01%	0.76%	0.76%	—	—	—	2.53%
5+	1.01%	0.25%	0.25%	—	—	—	1.52%
Total	30.05%	35.86%	22.22%	7.83%	2.53%	1.52%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.22	1.22	+0.00
SD	1.15	1.15	1.70
CV	0.94	0.94	—
Max	7	7	+7
Min	0	0	-7

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	15.15%	9.09%	3.03%	6.06%	3.03%	45.45%
1	6.06%	18.18%	3.03%	3.03%	3.03%	—	33.33%
2	6.06%	6.06%	—	9.09%	—	—	21.21%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	39.39%	12.12%	15.15%	9.09%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.76	1.67	-0.91
SD	0.79	1.57	1.84
CV	1.05	0.94	—
Max	2	7	+2
Min	0	0	-7

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	12.12%	—	9.09%	—	—	30.30%
1	15.15%	15.15%	3.03%	—	—	—	33.33%
2	6.06%	3.03%	6.06%	—	—	—	15.15%
3	—	6.06%	3.03%	3.03%	—	—	12.12%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	3.03%	—	—	—	—	—	3.03%
Total	36.36%	36.36%	15.15%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.03	+0.42
SD	1.56	1.02	1.92
CV	1.07	0.99	—
Max	7	3	+7
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	9.09%	—	—	3.03%	27.27%
1	3.03%	15.15%	18.18%	6.06%	—	—	42.42%
2	3.03%	15.15%	3.03%	—	—	—	21.21%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.15%	42.42%	33.33%	6.06%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	1.42	-0.30
SD	0.93	1.03	1.53
CV	0.83	0.72	—
Max	3	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	—	—	—	—	12.12%
1	15.15%	—	6.06%	—	—	—	21.21%
2	18.18%	9.09%	9.09%	—	—	—	36.36%
3	6.06%	9.09%	—	—	—	—	15.15%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	3.03%	3.03%	3.03%	—	—	—	9.09%
Total	48.48%	33.33%	18.18%	—	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.09	0.70	+1.39
SD	1.40	0.77	1.56
CV	0.67	1.10	—
Max	5	2	+5
Min	0	0	-1

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	12.12%	3.03%	3.03%	—	—	33.33%
1	3.03%	3.03%	21.21%	3.03%	—	—	30.30%
2	3.03%	18.18%	—	—	—	—	21.21%
3	6.06%	—	3.03%	3.03%	—	—	12.12%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	27.27%	36.36%	27.27%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.18	+0.03
SD	1.14	0.95	1.45
CV	0.94	0.80	—
Max	4	3	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	12.12%	6.06%	—	—	3.03%	30.30%
1	21.21%	9.09%	3.03%	3.03%	3.03%	—	39.39%
2	—	9.09%	9.09%	—	—	—	18.18%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	36.36%	33.33%	21.21%	3.03%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	1.12	+0.06
SD	1.16	1.22	1.77
CV	0.98	1.09	—
Max	5	5	+5
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	18.18%	12.12%	—	—	3.03%	42.42%
1	3.03%	12.12%	3.03%	—	—	—	18.18%
2	12.12%	3.03%	—	3.03%	—	3.03%	21.21%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	3.03%	3.03%	3.03%	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	30.30%	39.39%	21.21%	3.03%	—	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.21	+0.03
SD	1.35	1.27	1.93
CV	1.08	1.05	—
Max	4	5	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	12.12%	3.03%	3.03%	3.03%	—	30.30%
1	12.12%	15.15%	12.12%	—	—	—	39.39%
2	—	6.06%	6.06%	9.09%	6.06%	—	27.27%
3	—	—	—	—	—	—	—
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	33.33%	24.24%	12.12%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.55	-0.48
SD	0.93	1.23	1.25
CV	0.88	0.79	—
Max	4	4	+2
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	6.06%	6.06%	6.06%	—	—	24.24%
1	27.27%	18.18%	3.03%	6.06%	—	—	54.55%
2	—	9.09%	9.09%	—	—	—	18.18%
3	—	—	3.03%	—	—	—	3.03%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	33.33%	33.33%	21.21%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	1.12	-0.12
SD	0.75	1.02	1.24
CV	0.75	0.91	—
Max	3	3	+1
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	—	6.06%	—	—	21.21%
1	9.09%	21.21%	9.09%	—	—	—	39.39%
2	9.09%	6.06%	12.12%	3.03%	—	—	30.30%
3	3.03%	6.06%	—	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	27.27%	42.42%	21.21%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.12	+0.15
SD	0.91	0.93	1.35
CV	0.72	0.83	—
Max	3	3	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	12.12%	3.03%	3.03%	—	36.36%
1	9.09%	6.06%	12.12%	6.06%	3.03%	3.03%	39.39%
2	6.06%	6.06%	3.03%	—	3.03%	—	18.18%
3	—	—	3.03%	—	—	—	3.03%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	24.24%	24.24%	30.30%	9.09%	9.09%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	1.64	-0.67
SD	0.98	1.37	1.78
CV	1.01	0.83	—
Max	4	5	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	18.18%	6.06%	—	—	—	27.27%
1	21.21%	6.06%	9.09%	3.03%	—	—	39.39%
2	3.03%	12.12%	3.03%	—	—	—	18.18%
3	9.09%	—	3.03%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	39.39%	36.36%	21.21%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	0.88	+0.39
SD	1.18	0.86	1.62
CV	0.93	0.98	—
Max	5	3	+5
Min	0	0	-2

Games Played: 33

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
Ferencvaros	1584	76	68.15	+7.85	91.0%	50	55	63	69	73	77	83
Videoton	1506	55	58.90	-3.90	34.0%	38	45	54	59	64	70	80
Debrecen VSC	1458	53	54.95	-1.95	42.0%	36	40	50	55	60	67	72
Ujpest	1401	46	48.71	-2.71	41.0%	31	37	43	48	54	59	67
MTK Budapest	1382	51	50.79	+0.21	57.0%	34	39	46	50	55	63	68
Paks	1381	43	49.09	-6.09	24.0%	38	39	44	48	54	61	65
Honved	1351	43	38.59	+4.41	71.0%	16	26	33	38	45	51	60
Diosgyor	1344	38	42.52	-4.52	27.0%	25	30	38	43	47	52	57
Szombathelyi Haladas	1310	50	34.84	+15.16	99.0%	21	25	30	35	39	44	59
Bekescsaba	1282	27	35.70	-8.70	11.0%	16	23	32	36	40	46	55
Puskas	1280	31	34.82	-3.82	32.0%	19	23	29	35	39	46	56
Vasas	1268	32	30.57	+1.43	63.0%	14	21	26	31	35	40	44

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 14.5% * Slight Edge: 14.5% to 20.5% * Clear Edge: 20.5% to 27% * Strong Edge: 27% 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

+23.74%

Clear Edge

49.49%24.75%25.76%

Elo Value

Home Edge

218 Elo

0.005 goals per Elo point

084.08600

Scoring Tilt

Expected

+0.42 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 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 6th * Longshot: 7th 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 0.08 * Tight Race: 0.08 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.

Title-Race Openness

1.9

One-Team Race

123410

Champion Preseason Odds

70%

Ferencvaros, 1st of 12

LongshotFavorite

Title Margin

Expected

0.64/gm

Runaway

00.241/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 5.67 * Some Luck: 5.67 to 8.51 * Lucky: 8.51 to 11.35 * Wild Swing: 11.35 and up.
Average Finish Error: Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.18 * Close: 1.18 to 1.78 * Off: 1.78 to 2.37 * Way Off: 2.37 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 12 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 12 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 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.

Luck Spread

Expected

6.37 points

Some Luck

07.0918

Average Finish Error

Expected

1.17

Pinpoint

01.483

Biggest Overachiever

Expected 95.83%

99.00%

Szombathelyi Haladas

50100

Biggest Underachiever

Expected 4.17%

11.00%

Bekescsaba

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

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 0.15 * Even: 0.15 to 0.17 * Top-Heavy: 0.17 to 0.21 * Lopsided: 0.21 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.6 * Moderate Separation: 1.6 to 1.85 * Strong Separation: 1.85 to 2.15 * Wide Separation: 2.15 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 65.5% * Slight Edge: 65.5% to 71% * Clear Edge: 71% to 75.5% * Wide Edge: 75.5% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 88.5% * Clear Edge: 88.5% to 92.5% * Strong Edge: 92.5% to 96.5% * Dominant: 96.5% 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 50% * Some Drama: 50% to 59.5% * Frequent: 59.5% to 63.5% * Very Frequent: 63.5% 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 15.5% * Occasional: 15.5% to 20% * Frequent: 20% to 30% * Very Frequent: 30% and up.

Gini Index

0.15

Even

00.150.210.5

Noll-Scully

Elo SD: 96.86

1.75

Moderate Separation

11.61.852.152.75

Interquartile Edge

66%

Slight Edge

50%65.5%75.5%100%

Best vs. Worst

Baseline

86%

Even

50%87%100%

Close Games

Expected

70%

Very Frequent

0%62%100%

Blowouts

Expected

12%

Rare

0%14%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 0.4 * Slight Separation: 0.4 to 0.47 * Notable Separation: 0.47 to 0.53 * Lopsided: 0.53 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 0.45 * Some Carryover: 0.45 to 0.59 * Strong Carryover: 0.59 to 0.72 * Near-Lock: 0.72 and up.
Upset Rate: Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 18% * As Expected: 18% to 21% * Upset-Prone: 21% to 24% * Very Upset-Prone: 24% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15.5% * As Expected: 15.5% to 18.5% * Shaky Favorites: 18.5% to 21% * Very Shaky: 21% and up.

Brier Score

Expected

0.60

Predictable

00.592

Matchup Imbalance

0.39

Very Even

00.40.5

Strangeness

Expected

0.90

As Expected

01.002

Repeatability

0.67

Strong Carryover

00.450.590.721

Upset Rate

Expected

22%

Upset-Prone

0%23%50%

Clear Favorite Upset Rate

Expected

21%

Very Shaky

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

Probability calibration

0.87

Excellent

0.010.050.10.51

Calibration slope

Ideal

0.83

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.126

Near Noise Ceiling

00.1180.3

Final Table Odds

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

Team	1	2	3	4	5	6	7	8	9	10	11	12
Ferencvaros	70.00%	19.00%	6.00%	5.00%	—	—	—	—	—	—	—	—
Videoton	16.00%	35.00%	25.00%	12.00%	5.00%	3.00%	2.00%	1.00%	1.00%	—	—	—
Debrecen VSC	9.00%	21.00%	17.00%	18.00%	15.00%	12.00%	3.00%	1.00%	3.00%	1.00%	—	—
MTK Budapest	3.00%	8.00%	18.00%	19.00%	22.00%	14.00%	9.00%	3.00%	2.00%	1.00%	—	1.00%
Szombathelyi Haladas	—	—	1.00%	—	3.00%	2.00%	8.00%	15.00%	20.00%	15.00%	17.00%	19.00%
Ujpest	2.00%	7.00%	13.00%	15.00%	22.00%	12.00%	13.00%	8.00%	4.00%	3.00%	—	1.00%
Paks	—	9.00%	13.00%	13.00%	18.00%	17.00%	16.00%	10.00%	4.00%	—	—	—
Honved	—	—	1.00%	6.00%	5.00%	15.00%	12.00%	11.00%	10.00%	19.00%	12.00%	9.00%
Diosgyor	—	1.00%	4.00%	9.00%	9.00%	14.00%	24.00%	14.00%	9.00%	7.00%	7.00%	2.00%
Vasas	—	—	—	—	—	1.00%	3.00%	6.00%	13.00%	20.00%	19.00%	38.00%
Puskas	—	—	1.00%	2.00%	1.00%	2.00%	5.00%	17.00%	15.00%	19.00%	22.00%	16.00%
Bekescsaba	—	—	1.00%	1.00%	—	8.00%	5.00%	14.00%	19.00%	15.00%	23.00%	14.00%

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
Debrecen VSC	100%	—
Ferencvaros	100%	—
Paks	100%	—
Videoton	100%	—
MTK Budapest	99.00%	1.00%
Ujpest	99.00%	1.00%
Diosgyor	91.00%	9.00%
Honved	79.00%	21.00%
Szombathelyi Haladas	64.00%	36.00%
Bekescsaba	63.00%	37.00%
Puskas	62.00%	38.00%
Vasas	43.00%	57.00%

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
2015-07-18	Videoton	W 1-0	49.1	1305	1504	23.16%	24.37%	52.47%	-0.52	+7.5	3
2015-07-18	@ Honved	L 0-1	49.1	1504	1305	52.47%	24.37%	23.16%	+0.52	-7.5	0
2015-07-18	Paks	D 0-0	51.7	1389	1404	46.59%	25.54%	27.88%	+0.32	-0.6	1
2015-07-18	@ Ujpest	D 0-0	51.7	1404	1389	27.88%	25.54%	46.59%	-0.32	+0.7	1
2015-07-18	Puskas	W 1-0	36.4	1391	1306	59.16%	22.35%	18.48%	+0.78	+3.1	3
2015-07-18	@ MTK Budapest	L 0-1	36.4	1306	1391	18.48%	22.35%	59.16%	-0.78	-3.1	0
2015-07-18	Vasas	W 2-1	41.3	1384	1276	61.75%	21.38%	16.86%	+0.88	+2.7	3
2015-07-18	@ Diosgyor	L 1-2	41.3	1276	1384	16.86%	21.38%	61.75%	-0.88	-2.7	0
2015-07-19	Debrecen VSC	L 2-3	56.1	1364	1458	35.53%	26.23%	38.23%	-0.04	-5.0	0
2015-07-19	@ Bekescsaba	W 3-2	56.1	1458	1364	38.23%	26.23%	35.53%	+0.04	+5.0	3
2015-07-19	Ferencvaros	L 0-2	35.2	1273	1494	21.08%	23.60%	55.32%	-0.63	-6.7	0
2015-07-19	@ Szombathelyi Haladas	W 2-0	35.2	1494	1273	55.32%	23.60%	21.08%	+0.63	+6.7	3
2015-07-25	Bekescsaba	W 4-0	33.8	1405	1359	54.34%	23.88%	21.78%	+0.59	+13.1	4
2015-07-25	@ Paks	L 0-4	33.8	1359	1405	21.78%	23.88%	54.34%	-0.59	-13.2	0
2015-07-25	MTK Budapest	W 2-1	49.2	1313	1394	37.24%	26.25%	36.51%	+0.01	+5.3	6
2015-07-25	@ Honved	L 1-2	49.2	1394	1313	36.51%	26.25%	37.24%	-0.01	-5.3	3
2015-07-25	Szombathelyi Haladas	L 0-1	52.0	1496	1266	74.08%	15.61%	10.31%	+1.44	-9.8	0
2015-07-25	@ Videoton	W 1-0	52.0	1266	1496	10.31%	15.61%	74.08%	-1.44	+9.8	3
2015-07-25	Ujpest	L 1-3	44.0	1273	1389	32.53%	26.10%	41.38%	-0.14	-8.5	0
2015-07-25	@ Vasas	W 3-1	44.0	1389	1273	41.38%	26.10%	32.53%	+0.14	+8.5	4
2015-07-26	Diosgyor	W 3-1	42.2	1501	1386	62.45%	21.11%	16.44%	+0.91	+4.5	6
2015-07-26	@ Ferencvaros	L 1-3	42.2	1386	1501	16.44%	21.11%	62.45%	-0.91	-4.5	3
2015-07-26	Puskas	D 1-1	58.3	1463	1303	67.35%	18.97%	13.68%	+1.12	-1.8	4
2015-07-26	@ Debrecen VSC	D 1-1	58.3	1303	1463	13.68%	18.97%	67.35%	-1.12	+1.8	1
2015-08-01	Bekescsaba	W 2-0	34.9	1397	1346	55.02%	23.69%	21.29%	+0.62	+6.8	7
2015-08-01	@ Ujpest	L 0-2	34.9	1346	1397	21.29%	23.69%	55.02%	-0.62	-6.8	0
2015-08-01	Videoton	L 1-2	51.9	1382	1486	34.03%	26.18%	39.79%	-0.09	-5.1	3
2015-08-01	@ Diosgyor	W 2-1	51.9	1486	1382	39.79%	26.18%	34.03%	+0.09	+5.1	3
2015-08-01	Ferencvaros	L 0-2	34.6	1264	1505	19.46%	22.86%	57.68%	-0.72	-6.2	0
2015-08-01	@ Vasas	W 2-0	34.6	1505	1264	57.68%	22.86%	19.46%	+0.72	+6.2	9
2015-08-01	MTK Budapest	D 2-2	60.8	1276	1389	32.87%	26.12%	41.01%	-0.13	+0.2	4
2015-08-01	@ Szombathelyi Haladas	D 2-2	60.8	1389	1276	41.01%	26.12%	32.87%	+0.13	-0.2	4
2015-08-01	Paks	W 1-0	44.6	1304	1418	32.83%	26.12%	41.05%	-0.13	+6.2	4
2015-08-01	@ Puskas	L 0-1	44.6	1418	1304	41.05%	26.12%	32.83%	+0.13	-6.2	4
2015-08-02	Debrecen VSC	D 3-3	66.1	1318	1461	29.10%	25.73%	45.17%	-0.27	+0.3	7
2015-08-02	@ Honved	D 3-3	66.1	1461	1318	45.17%	25.73%	29.10%	+0.27	-0.3	5
2015-08-08	Diosgyor	W 5-0	35.8	1389	1377	50.12%	24.91%	24.98%	+0.44	+18.4	7
2015-08-08	@ MTK Budapest	L 0-5	35.8	1377	1389	24.98%	24.91%	50.12%	-0.44	-18.4	3
2015-08-08	Ferencvaros	L 1-3	56.5	1491	1512	45.85%	25.64%	28.51%	+0.29	-11.0	3
2015-08-08	@ Videoton	W 3-1	56.5	1512	1491	28.51%	25.64%	45.85%	-0.29	+11.0	12
2015-08-08	Honved	W 3-1	39.3	1412	1318	60.05%	22.03%	17.92%	+0.81	+4.9	7
2015-08-08	@ Paks	L 1-3	39.3	1318	1412	17.92%	22.03%	60.05%	-0.81	-4.9	7
2015-08-08	Puskas	D 2-2	62.6	1404	1311	60.06%	22.03%	17.91%	+0.81	-1.0	8
2015-08-08	@ Ujpest	D 2-2	62.6	1311	1404	17.91%	22.03%	60.06%	-0.81	+1.0	5
2015-08-08	Vasas	L 0-2	44.1	1340	1258	58.67%	22.53%	18.80%	+0.76	-15.5	0
2015-08-08	@ Bekescsaba	W 2-0	44.1	1258	1340	18.80%	22.53%	58.67%	-0.76	+15.5	3
2015-08-09	Szombathelyi Haladas	L 0-1	51.0	1461	1276	69.80%	17.80%	12.40%	+1.23	-9.4	5
2015-08-09	@ Debrecen VSC	W 1-0	51.0	1276	1461	12.40%	17.80%	69.80%	-1.23	+9.4	7
2015-08-15	Bekescsaba	L 1-2	51.4	1312	1324	46.91%	25.49%	27.60%	+0.33	-6.5	5
2015-08-15	@ Puskas	W 2-1	51.4	1324	1312	27.60%	25.49%	46.91%	-0.33	+6.5	3
2015-08-15	Debrecen VSC	L 0-2	41.3	1359	1451	35.62%	26.23%	38.14%	-0.04	-10.5	3
2015-08-15	@ Diosgyor	W 2-0	41.3	1451	1359	38.14%	26.23%	35.62%	+0.04	+10.5	8
2015-08-15	Videoton	W 2-1	54.4	1274	1480	22.39%	24.11%	53.50%	-0.56	+7.2	6
2015-08-15	@ Vasas	L 1-2	54.4	1480	1274	53.50%	24.11%	22.39%	+0.56	-7.2	3
2015-08-15	Honved	D 1-1	56.5	1403	1314	59.61%	22.20%	18.20%	+0.79	-1.4	9
2015-08-15	@ Ujpest	D 1-1	56.5	1314	1403	18.20%	22.20%	59.61%	-0.79	+1.4	8
2015-08-15	MTK Budapest	W 2-0	37.5	1523	1407	62.56%	21.06%	16.38%	+0.91	+5.2	15
2015-08-15	@ Ferencvaros	L 0-2	37.5	1407	1523	16.38%	21.06%	62.56%	-0.91	-5.2	7
2015-08-15	Paks	W 1-0	45.0	1286	1417	30.56%	25.92%	43.52%	-0.21	+6.5	10
2015-08-15	@ Szombathelyi Haladas	L 0-1	45.0	1417	1286	43.52%	25.92%	30.56%	+0.21	-6.5	7
2015-08-22	Diosgyor	D 1-1	56.8	1410	1348	56.39%	23.28%	20.33%	+0.67	-1.2	8
2015-08-22	@ Paks	D 1-1	56.8	1348	1410	20.33%	23.28%	56.39%	-0.67	+1.2	4
2015-08-22	Ferencvaros	L 0-3	46.5	1462	1528	39.47%	26.20%	34.33%	+0.08	-16.4	8
2015-08-22	@ Debrecen VSC	W 3-0	46.5	1528	1462	34.33%	26.20%	39.47%	-0.08	+16.4	18
2015-08-22	Honved	L 1-4	46.1	1330	1315	50.59%	24.81%	24.60%	+0.46	-16.9	3
2015-08-22	@ Bekescsaba	W 4-1	46.1	1315	1330	24.60%	24.81%	50.59%	-0.46	+16.9	11
2015-08-22	Szombathelyi Haladas	D 0-0	51.3	1402	1292	61.90%	21.33%	16.77%	+0.89	-1.7	10
2015-08-22	@ Ujpest	D 0-0	51.3	1292	1402	16.77%	21.33%	61.90%	-0.89	+1.7	11
2015-08-22	Vasas	W 1-0	37.6	1305	1281	51.70%	24.56%	23.75%	+0.50	+4.0	8
2015-08-22	@ Puskas	L 0-1	37.6	1281	1305	23.75%	24.56%	51.70%	-0.50	-4.0	6
2015-08-23	Videoton	W 1-0	46.3	1402	1473	38.73%	26.22%	35.05%	+0.06	+5.5	10
2015-08-23	@ MTK Budapest	L 0-1	46.3	1473	1402	35.05%	26.22%	38.73%	-0.06	-5.5	3
2015-08-29	MTK Budapest	L 0-1	40.9	1277	1408	30.62%	25.92%	43.45%	-0.21	-5.0	6
2015-08-29	@ Vasas	W 1-0	40.9	1408	1277	43.45%	25.92%	30.62%	+0.21	+5.0	13
2015-08-29	Paks	W 2-0	37.7	1544	1409	64.74%	20.15%	15.11%	+1.00	+4.8	21
2015-08-29	@ Ferencvaros	L 0-2	37.7	1409	1544	15.11%	20.15%	64.74%	-1.00	-4.7	8
2015-08-29	Puskas	D 0-0	49.7	1332	1309	51.49%	24.61%	23.90%	+0.49	-1.0	12
2015-08-29	@ Honved	D 0-0	49.7	1309	1332	23.90%	24.61%	51.49%	-0.49	+1.0	9
2015-08-29	Szombathelyi Haladas	L 0-1	46.0	1314	1294	51.15%	24.68%	24.16%	+0.48	-7.4	3
2015-08-29	@ Bekescsaba	W 1-0	46.0	1294	1314	24.16%	24.68%	51.15%	-0.48	+7.4	14
2015-08-29	Ujpest	W 2-1	48.6	1349	1400	41.64%	26.08%	32.28%	+0.15	+4.9	7
2015-08-29	@ Diosgyor	L 1-2	48.6	1400	1349	32.28%	26.08%	41.64%	-0.15	-4.9	10
2015-08-30	Debrecen VSC	W 1-0	43.7	1468	1445	51.45%	24.62%	23.93%	+0.49	+4.0	6
2015-08-30	@ Videoton	L 0-1	43.7	1445	1468	23.93%	24.62%	51.45%	-0.49	-4.0	8
2015-09-12	Diosgyor	D 1-1	54.6	1306	1354	42.03%	26.05%	31.92%	+0.17	-0.3	4
2015-09-12	@ Bekescsaba	D 1-1	54.6	1354	1306	31.92%	26.05%	42.03%	-0.17	+0.3	8
2015-09-12	Videoton	W 2-0	42.7	1404	1472	39.24%	26.21%	34.56%	+0.08	+10.2	11
2015-09-12	@ Paks	L 0-2	42.7	1472	1404	34.56%	26.21%	39.24%	-0.08	-10.2	6
2015-09-12	Ferencvaros	L 1-2	52.3	1395	1549	27.80%	25.52%	46.68%	-0.32	-4.3	10
2015-09-12	@ Ujpest	W 2-1	52.3	1549	1395	46.68%	25.52%	27.80%	+0.32	+4.3	24
2015-09-12	MTK Budapest	W 1-0	41.6	1441	1413	52.30%	24.41%	23.28%	+0.52	+3.9	11
2015-09-12	@ Debrecen VSC	L 0-1	41.6	1413	1441	23.28%	24.41%	52.30%	-0.52	-3.9	13
2015-09-12	Szombathelyi Haladas	D 1-1	54.5	1310	1301	49.75%	24.98%	25.27%	+0.43	-0.8	10
2015-09-12	@ Puskas	D 1-1	54.5	1301	1310	25.27%	24.98%	49.75%	-0.43	+0.8	15
2015-09-12	Vasas	L 0-1	47.0	1331	1272	55.99%	23.40%	20.61%	+0.65	-7.9	12
2015-09-12	@ Honved	W 1-0	47.0	1272	1331	20.61%	23.40%	55.99%	-0.65	+7.9	9
2015-09-19	Bekescsaba	W 1-0	34.7	1553	1306	75.62%	14.79%	9.59%	+1.52	+1.5	27
2015-09-19	@ Ferencvaros	L 0-1	34.7	1306	1553	9.59%	14.79%	75.62%	-1.52	-1.5	4
2015-09-19	Debrecen VSC	L 0-1	40.0	1280	1445	26.54%	25.28%	48.18%	-0.37	-4.4	9
2015-09-19	@ Vasas	W 1-0	40.0	1445	1280	48.18%	25.28%	26.54%	+0.37	+4.4	14
2015-09-19	Honved	D 0-0	49.3	1302	1323	45.73%	25.66%	28.61%	+0.29	-0.6	16
2015-09-19	@ Szombathelyi Haladas	D 0-0	49.3	1323	1302	28.61%	25.66%	45.73%	-0.29	+0.6	13
2015-09-19	MTK Budapest	D 0-0	52.5	1414	1409	49.32%	25.07%	25.61%	+0.41	-0.8	12
2015-09-19	@ Paks	D 0-0	52.5	1409	1414	25.61%	25.07%	49.32%	-0.41	+0.8	14
2015-09-19	Puskas	W 3-2	48.6	1354	1309	54.31%	23.89%	21.80%	+0.59	+3.3	11
2015-09-19	@ Diosgyor	L 2-3	48.6	1309	1354	21.80%	23.89%	54.31%	-0.59	-3.3	10
2015-09-19	Ujpest	W 3-0	34.9	1462	1391	57.45%	22.94%	19.61%	+0.71	+9.1	9
2015-09-19	@ Videoton	L 0-3	34.9	1391	1462	19.61%	22.94%	57.45%	-0.71	-9.1	10
2015-09-26	Debrecen VSC	D 1-1	58.5	1414	1450	43.66%	25.90%	30.44%	+0.22	-0.4	13
2015-09-26	@ Paks	D 1-1	58.5	1450	1414	30.44%	25.90%	43.66%	-0.22	+0.4	15
2015-09-26	Diosgyor	W 2-1	46.9	1323	1358	43.92%	25.88%	30.20%	+0.23	+4.6	16
2015-09-26	@ Honved	L 1-2	46.9	1358	1323	30.20%	25.88%	43.92%	-0.23	-4.6	11
2015-09-26	Videoton	W 2-0	44.0	1304	1471	26.46%	25.26%	48.28%	-0.38	+13.2	7
2015-09-26	@ Bekescsaba	L 0-2	44.0	1471	1304	48.28%	25.26%	26.46%	+0.38	-13.3	9
2015-09-26	Ferencvaros	D 0-0	54.3	1306	1555	18.85%	22.55%	58.59%	-0.75	+1.5	11
2015-09-26	@ Puskas	D 0-0	54.3	1555	1306	58.59%	22.55%	18.85%	+0.75	-1.4	28
2015-09-26	MTK Budapest	D 2-2	62.8	1382	1409	44.80%	25.78%	29.42%	+0.26	-0.3	11
2015-09-26	@ Ujpest	D 2-2	62.8	1409	1382	29.42%	25.78%	44.80%	-0.26	+0.4	15
2015-09-26	Vasas	D 1-1	54.5	1301	1276	51.88%	24.52%	23.60%	+0.50	-0.9	17
2015-09-26	@ Szombathelyi Haladas	D 1-1	54.5	1276	1301	23.60%	24.52%	51.88%	-0.50	+0.9	10
2015-10-03	Honved	W 2-1	42.1	1553	1328	73.65%	15.84%	10.51%	+1.42	+1.5	31
2015-10-03	@ Ferencvaros	L 1-2	42.1	1328	1553	10.51%	15.84%	73.65%	-1.42	-1.5	16
2015-10-03	MTK Budapest	D 1-1	55.4	1318	1410	35.74%	26.24%	38.02%	-0.04	+0.1	8
2015-10-03	@ Bekescsaba	D 1-1	55.4	1410	1318	38.02%	26.24%	35.74%	+0.04	-0.1	16
2015-10-03	Paks	L 1-2	46.9	1277	1413	29.86%	25.83%	44.30%	-0.24	-4.6	10
2015-10-03	@ Vasas	W 2-1	46.9	1413	1277	44.30%	25.83%	29.86%	+0.24	+4.6	16
2015-10-03	Puskas	W 3-2	46.5	1457	1308	66.26%	19.47%	14.27%	+1.07	+2.1	12
2015-10-03	@ Videoton	L 2-3	46.5	1308	1457	14.27%	19.47%	66.26%	-1.07	-2.1	11
2015-10-03	Szombathelyi Haladas	D 1-1	55.3	1353	1300	55.26%	23.62%	21.12%	+0.63	-1.1	12
2015-10-03	@ Diosgyor	D 1-1	55.3	1300	1353	21.12%	23.62%	55.26%	-0.63	+1.1	18
2015-10-03	Ujpest	D 1-1	58.5	1450	1381	57.22%	23.01%	19.76%	+0.70	-1.2	16
2015-10-03	@ Debrecen VSC	D 1-1	58.5	1381	1450	19.76%	23.01%	57.22%	-0.70	+1.2	12
2015-10-17	Bekescsaba	W 7-0	32.9	1449	1318	64.28%	20.35%	15.37%	+0.99	+15.5	19
2015-10-17	@ Debrecen VSC	L 0-7	32.9	1318	1449	15.37%	20.35%	64.28%	-0.99	-15.5	8
2015-10-17	Diosgyor	L 0-1	42.5	1272	1352	37.46%	26.24%	36.30%	+0.02	-5.8	10
2015-10-17	@ Vasas	W 1-0	42.5	1352	1272	36.30%	26.24%	37.46%	-0.02	+5.8	15
2015-10-17	Honved	W 3-0	31.2	1459	1327	64.47%	20.26%	15.26%	+0.99	+7.0	15
2015-10-17	@ Videoton	L 0-3	31.2	1327	1459	15.26%	20.26%	64.47%	-0.99	-7.0	16
2015-10-17	MTK Budapest	L 2-3	53.6	1305	1410	34.05%	26.18%	39.76%	-0.09	-4.8	11
2015-10-17	@ Puskas	W 3-2	53.6	1410	1305	39.76%	26.18%	34.05%	+0.09	+4.8	19
2015-10-17	Szombathelyi Haladas	W 3-1	37.2	1555	1301	76.14%	14.51%	9.35%	+1.55	+2.3	34
2015-10-17	@ Ferencvaros	L 1-3	37.2	1301	1555	9.35%	14.51%	76.14%	-1.55	-2.3	18
2015-10-17	Ujpest	W 1-0	40.0	1418	1382	53.11%	24.21%	22.68%	+0.55	+3.8	19
2015-10-17	@ Paks	L 0-1	40.0	1382	1418	22.68%	24.21%	53.11%	-0.55	-3.8	12
2015-10-24	Debrecen VSC	D 1-1	56.4	1301	1465	26.70%	25.31%	47.98%	-0.37	+0.7	12
2015-10-24	@ Puskas	D 1-1	56.4	1465	1301	47.98%	25.31%	26.70%	+0.37	-0.7	20
2015-10-24	Videoton	W 1-0	47.3	1299	1466	26.33%	25.23%	48.44%	-0.38	+7.1	21
2015-10-24	@ Szombathelyi Haladas	L 0-1	47.3	1466	1299	48.44%	25.23%	26.33%	+0.38	-7.0	15
2015-10-24	Ferencvaros	L 0-2	40.0	1358	1557	23.05%	24.34%	52.61%	-0.53	-7.3	15
2015-10-24	@ Diosgyor	W 2-0	40.0	1557	1358	52.61%	24.34%	23.05%	+0.53	+7.3	37
2015-10-24	Honved	W 2-1	42.7	1415	1320	60.26%	21.96%	17.78%	+0.82	+2.8	22
2015-10-24	@ MTK Budapest	L 1-2	42.7	1320	1415	17.78%	21.96%	60.26%	-0.82	-2.8	16
2015-10-24	Paks	L 2-3	53.1	1302	1422	32.05%	26.06%	41.89%	-0.16	-4.6	8
2015-10-24	@ Bekescsaba	W 3-2	53.1	1422	1302	41.89%	26.06%	32.05%	+0.16	+4.6	22
2015-10-24	Vasas	W 2-0	31.5	1379	1266	62.23%	21.20%	16.57%	+0.90	+5.2	15
2015-10-24	@ Ujpest	L 0-2	31.5	1266	1379	16.57%	21.20%	62.23%	-0.90	-5.2	10
2015-10-31	Diosgyor	W 2-1	43.7	1459	1350	61.84%	21.35%	16.81%	+0.88	+2.7	18
2015-10-31	@ Videoton	L 1-2	43.7	1350	1459	16.81%	21.35%	61.84%	-0.88	-2.7	15
2015-10-31	Honved	D 0-0	53.2	1464	1317	65.98%	19.60%	14.42%	+1.06	-1.9	21
2015-10-31	@ Debrecen VSC	D 0-0	53.2	1317	1464	14.42%	19.60%	65.98%	-1.06	+1.9	17
2015-10-31	Puskas	W 4-2	41.7	1426	1301	63.60%	20.64%	15.77%	+0.96	+3.8	25
2015-10-31	@ Paks	L 2-4	41.7	1301	1426	15.77%	20.64%	63.60%	-0.96	-3.8	12
2015-10-31	Szombathelyi Haladas	L 0-1	49.5	1417	1306	62.09%	21.25%	16.66%	+0.89	-8.6	22
2015-10-31	@ MTK Budapest	W 1-0	49.5	1306	1417	16.66%	21.25%	62.09%	-0.89	+8.6	24
2015-10-31	Ujpest	L 1-3	45.5	1298	1384	36.57%	26.25%	37.18%	-0.01	-9.3	8
2015-10-31	@ Bekescsaba	W 3-1	45.5	1384	1298	37.18%	26.25%	36.57%	+0.01	+9.3	18
2015-10-31	Vasas	W 5-1	30.9	1565	1261	80.19%	12.26%	7.54%	+1.77	+3.3	40
2015-10-31	@ Ferencvaros	L 1-5	30.9	1261	1565	7.54%	12.26%	80.19%	-1.77	-3.3	10
2015-11-21	Diosgyor	W 1-0	37.4	1462	1348	62.42%	21.12%	16.46%	+0.91	+2.8	24
2015-11-21	@ Debrecen VSC	L 0-1	37.4	1348	1462	16.46%	21.12%	62.42%	-0.91	-2.8	15
2015-11-21	Ferencvaros	W 1-0	53.2	1409	1568	27.23%	25.42%	47.36%	-0.34	+6.9	25
2015-11-21	@ MTK Budapest	L 0-1	53.2	1568	1409	47.36%	25.42%	27.23%	+0.34	-6.9	40
2015-11-21	Puskas	W 2-1	45.1	1288	1297	47.35%	25.42%	27.23%	+0.34	+4.2	11
2015-11-21	@ Bekescsaba	L 1-2	45.1	1297	1288	27.23%	25.42%	47.35%	-0.34	-4.2	12
2015-11-21	Szombathelyi Haladas	W 2-0	32.6	1430	1315	62.54%	21.07%	16.39%	+0.91	+5.2	28
2015-11-21	@ Paks	L 0-2	32.6	1315	1430	16.39%	21.07%	62.54%	-0.91	-5.2	24
2015-11-21	Ujpest	L 1-2	49.8	1319	1393	38.25%	26.23%	35.51%	+0.04	-5.5	17
2015-11-21	@ Honved	W 2-1	49.8	1393	1319	35.51%	26.23%	38.25%	-0.04	+5.5	21
2015-11-21	Vasas	W 2-0	29.5	1462	1258	71.71%	16.85%	11.45%	+1.32	+3.4	21
2015-11-21	@ Videoton	L 0-2	29.5	1258	1462	11.45%	16.85%	71.71%	-1.32	-3.4	10
2015-11-28	Bekescsaba	W 3-2	49.1	1313	1293	51.22%	24.67%	24.11%	+0.48	+3.6	20
2015-11-28	@ Honved	L 2-3	49.1	1293	1313	24.11%	24.67%	51.22%	-0.48	-3.6	11
2015-11-28	Debrecen VSC	W 3-0	40.0	1561	1465	60.41%	21.90%	17.69%	+0.83	+8.2	43
2015-11-28	@ Ferencvaros	L 0-3	40.0	1465	1561	17.69%	21.90%	60.41%	-0.83	-8.2	24
2015-11-28	MTK Budapest	W 1-0	41.6	1465	1416	54.91%	23.72%	21.37%	+0.61	+3.6	24
2015-11-28	@ Videoton	L 0-1	41.6	1416	1465	21.37%	23.72%	54.91%	-0.61	-3.6	25
2015-11-28	Paks	D 1-1	56.4	1345	1435	36.00%	26.24%	37.76%	-0.03	+0.0	16
2015-11-28	@ Diosgyor	D 1-1	56.4	1435	1345	37.76%	26.24%	36.00%	+0.03	-0.0	29
2015-11-28	Puskas	L 2-4	49.9	1254	1293	43.26%	25.94%	30.80%	+0.21	-9.4	10
2015-11-28	@ Vasas	W 4-2	49.9	1293	1254	30.80%	25.94%	43.26%	-0.21	+9.4	15
2015-11-28	Ujpest	L 0-3	37.9	1310	1399	36.16%	26.24%	37.59%	-0.02	-15.4	24
2015-11-28	@ Szombathelyi Haladas	W 3-0	37.9	1399	1310	37.59%	26.24%	36.16%	+0.02	+15.4	24
2015-12-01	Ujpest	D 1-1	55.3	1303	1414	33.09%	26.13%	40.78%	-0.13	+0.2	16
2015-12-01	@ Puskas	D 1-1	55.3	1414	1303	40.78%	26.13%	33.09%	+0.13	-0.2	25
2015-12-02	Bekescsaba	W 4-0	35.0	1245	1289	42.53%	26.01%	31.46%	+0.18	+18.1	13
2015-12-02	@ Vasas	L 0-4	35.0	1289	1245	31.46%	26.01%	42.53%	-0.18	-18.1	11
2015-12-02	Debrecen VSC	D 2-2	62.2	1294	1457	26.87%	25.35%	47.78%	-0.36	+0.5	25
2015-12-02	@ Szombathelyi Haladas	D 2-2	62.2	1457	1294	47.78%	25.35%	26.87%	+0.36	-0.5	25
2015-12-02	Videoton	W 1-0	45.4	1569	1469	60.84%	21.74%	17.42%	+0.84	+2.9	46
2015-12-02	@ Ferencvaros	L 0-1	45.4	1469	1569	17.42%	21.74%	60.84%	-0.84	-2.9	24
2015-12-02	MTK Budapest	D 1-1	55.9	1345	1412	39.32%	26.20%	34.47%	+0.08	-0.1	17
2015-12-02	@ Diosgyor	D 1-1	55.9	1412	1345	34.47%	26.20%	39.32%	-0.08	+0.2	26
2015-12-02	Paks	D 0-0	50.7	1317	1435	32.16%	26.07%	41.77%	-0.16	+0.3	21
2015-12-02	@ Honved	D 0-0	50.7	1435	1317	41.77%	26.07%	32.16%	+0.16	-0.3	30
2015-12-05	Bekescsaba	D 1-1	54.4	1295	1271	51.64%	24.57%	23.79%	+0.49	-0.9	26
2015-12-05	@ Szombathelyi Haladas	D 1-1	54.4	1271	1295	23.79%	24.57%	51.64%	-0.49	+0.9	12
2015-12-05	Diosgyor	W 2-1	44.1	1414	1345	57.22%	23.02%	19.77%	+0.70	+3.2	28
2015-12-05	@ Ujpest	L 1-2	44.1	1345	1414	19.77%	23.02%	57.22%	-0.70	-3.2	17
2015-12-05	Videoton	L 1-2	57.4	1456	1466	47.21%	25.44%	27.35%	+0.34	-6.5	25
2015-12-05	@ Debrecen VSC	W 2-1	57.4	1466	1456	27.35%	25.44%	47.21%	-0.34	+6.5	27
2015-12-05	Ferencvaros	L 0-5	44.9	1435	1572	29.79%	25.83%	44.38%	-0.24	-21.3	30
2015-12-05	@ Paks	W 5-0	44.9	1572	1435	44.38%	25.83%	29.79%	+0.24	+21.4	49
2015-12-05	Honved	L 0-3	39.9	1303	1317	46.66%	25.52%	27.82%	+0.32	-18.7	16
2015-12-05	@ Puskas	W 3-0	39.9	1317	1303	27.82%	25.52%	46.66%	-0.32	+18.7	24
2015-12-05	Vasas	W 2-1	40.2	1412	1263	66.21%	19.50%	14.29%	+1.07	+2.2	29
2015-12-05	@ MTK Budapest	L 1-2	40.2	1263	1412	14.29%	19.50%	66.21%	-1.07	-2.2	13
2015-12-12	Bekescsaba	W 2-0	32.7	1342	1272	57.34%	22.98%	19.69%	+0.70	+6.3	20
2015-12-12	@ Diosgyor	L 0-2	32.7	1272	1342	19.69%	22.98%	57.34%	-0.70	-6.3	12
2015-12-12	Honved	W 2-1	47.9	1261	1336	38.16%	26.23%	35.61%	+0.04	+5.2	16
2015-12-12	@ Vasas	L 1-2	47.9	1336	1261	35.61%	26.23%	38.16%	-0.04	-5.2	24
2015-12-12	MTK Budapest	W 3-1	44.3	1450	1414	53.08%	24.22%	22.70%	+0.55	+6.2	28
2015-12-12	@ Debrecen VSC	L 1-3	44.3	1414	1450	22.70%	24.22%	53.08%	-0.55	-6.2	29
2015-12-12	Paks	W 1-0	41.4	1473	1414	56.05%	23.39%	20.57%	+0.66	+3.5	30
2015-12-12	@ Videoton	L 0-1	41.4	1414	1473	20.57%	23.39%	56.05%	-0.66	-3.5	30
2015-12-12	Puskas	W 2-1	44.3	1294	1284	49.82%	24.97%	25.21%	+0.43	+4.0	29
2015-12-12	@ Szombathelyi Haladas	L 1-2	44.3	1284	1294	25.21%	24.97%	49.82%	-0.43	-4.0	16
2015-12-12	Ujpest	L 0-1	58.8	1593	1417	68.98%	18.20%	12.82%	+1.19	-9.3	49
2015-12-12	@ Ferencvaros	W 1-0	58.8	1417	1593	12.82%	18.20%	68.98%	-1.19	+9.3	31
2016-02-13	Diosgyor	W 1-0	41.6	1280	1348	39.20%	26.21%	34.59%	+0.07	+5.4	19
2016-02-13	@ Puskas	L 0-1	41.6	1348	1280	34.59%	26.21%	39.20%	-0.07	-5.4	20
2016-02-13	Videoton	W 1-0	46.2	1426	1476	41.75%	26.07%	32.18%	+0.16	+5.2	34
2016-02-13	@ Ujpest	L 0-1	46.2	1476	1426	32.18%	26.07%	41.75%	-0.16	-5.1	30
2016-02-13	Ferencvaros	L 0-1	37.2	1266	1584	14.23%	19.45%	66.32%	-1.07	-2.3	12
2016-02-13	@ Bekescsaba	W 1-0	37.2	1584	1266	66.32%	19.45%	14.23%	+1.07	+2.4	52
2016-02-13	Szombathelyi Haladas	L 0-1	46.5	1331	1298	52.79%	24.29%	22.92%	+0.53	-7.6	24
2016-02-13	@ Honved	W 1-0	46.5	1298	1331	22.92%	24.29%	52.79%	-0.53	+7.6	32
2016-02-13	Vasas	W 4-0	28.3	1456	1266	70.31%	17.55%	12.14%	+1.25	+7.0	31
2016-02-13	@ Debrecen VSC	L 0-4	28.3	1266	1456	12.14%	17.55%	70.31%	-1.25	-7.0	16
2016-02-20	Bekescsaba	D 1-1	58.4	1471	1263	72.03%	16.68%	11.29%	+1.34	-2.0	31
2016-02-20	@ Videoton	D 1-1	58.4	1263	1471	11.29%	16.68%	72.03%	-1.34	+2.0	13
2016-02-20	Honved	W 2-1	44.6	1343	1323	51.11%	24.69%	24.20%	+0.47	+3.8	23
2016-02-20	@ Diosgyor	L 1-2	44.6	1323	1343	24.20%	24.69%	51.11%	-0.47	-3.8	24
2016-02-20	MTK Budapest	D 1-1	58.3	1431	1408	51.58%	24.59%	23.83%	+0.49	-0.9	35
2016-02-20	@ Ujpest	D 1-1	58.3	1408	1431	23.83%	24.59%	51.58%	-0.49	+0.9	30
2016-02-20	Paks	W 2-0	37.8	1463	1410	55.26%	23.62%	21.12%	+0.63	+6.7	34
2016-02-20	@ Debrecen VSC	L 0-2	37.8	1410	1463	21.12%	23.62%	55.26%	-0.63	-6.7	30
2016-02-20	Puskas	W 2-0	30.4	1586	1286	79.98%	12.39%	7.64%	+1.76	+2.1	55
2016-02-20	@ Ferencvaros	L 0-2	30.4	1286	1586	7.64%	12.39%	79.98%	-1.76	-2.1	19
2016-02-20	Szombathelyi Haladas	W 1-0	40.3	1259	1305	42.23%	26.03%	31.74%	+0.17	+5.1	19
2016-02-20	@ Vasas	L 0-1	40.3	1305	1259	31.74%	26.03%	42.23%	-0.17	-5.1	32
2016-02-27	Bekescsaba	D 0-0	51.5	1409	1265	65.63%	19.75%	14.61%	+1.04	-1.9	31
2016-02-27	@ MTK Budapest	D 0-0	51.5	1265	1409	14.61%	19.75%	65.63%	-1.04	+1.9	14
2016-02-27	Debrecen VSC	D 1-1	59.6	1431	1469	43.28%	25.94%	30.78%	+0.21	-0.4	36
2016-02-27	@ Ujpest	D 1-1	59.6	1469	1431	30.78%	25.94%	43.28%	-0.21	+0.4	35
2016-02-27	Diosgyor	W 2-1	47.1	1300	1346	42.26%	26.03%	31.71%	+0.17	+4.8	35
2016-02-27	@ Szombathelyi Haladas	L 1-2	47.1	1346	1300	31.71%	26.03%	42.26%	-0.17	-4.8	23
2016-02-27	Videoton	L 0-1	39.7	1283	1469	24.43%	24.76%	50.82%	-0.46	-4.1	19
2016-02-27	@ Puskas	W 1-0	39.7	1469	1283	50.82%	24.76%	24.43%	+0.46	+4.1	34
2016-02-27	Ferencvaros	W 2-1	59.9	1319	1589	17.34%	21.69%	60.97%	-0.85	+8.0	27
2016-02-27	@ Honved	L 1-2	59.9	1589	1319	60.97%	21.69%	17.34%	+0.85	-8.0	55
2016-02-27	Vasas	W 3-0	29.1	1403	1264	65.15%	19.97%	14.88%	+1.02	+6.8	33
2016-02-27	@ Paks	L 0-3	29.1	1264	1403	14.88%	19.97%	65.15%	-1.02	-6.8	19
2016-03-05	Bekescsaba	L 0-2	46.1	1410	1267	65.54%	19.80%	14.66%	+1.04	-16.9	33
2016-03-05	@ Paks	W 2-0	46.1	1267	1410	14.66%	19.80%	65.54%	-1.04	+16.9	17
2016-03-05	Diosgyor	D 2-2	69.7	1581	1342	74.87%	15.19%	9.93%	+1.48	-1.6	56
2016-03-05	@ Ferencvaros	D 2-2	69.7	1342	1581	9.93%	15.19%	74.87%	-1.48	+1.6	24
2016-03-05	Puskas	W 4-2	40.0	1470	1279	70.37%	17.52%	12.11%	+1.26	+2.8	38
2016-03-05	@ Debrecen VSC	L 2-4	40.0	1279	1470	12.11%	17.52%	70.37%	-1.26	-2.9	19
2016-03-05	Szombathelyi Haladas	W 2-1	41.2	1473	1305	68.14%	18.60%	13.26%	+1.15	+2.0	37
2016-03-05	@ Videoton	L 1-2	41.2	1305	1473	13.26%	18.60%	68.14%	-1.15	-2.0	35
2016-03-05	Ujpest	W 2-1	49.3	1407	1430	45.46%	25.69%	28.85%	+0.28	+4.4	34
2016-03-05	@ MTK Budapest	L 1-2	49.3	1430	1407	28.85%	25.69%	45.46%	-0.28	-4.5	36
2016-03-05	Vasas	D 0-0	49.8	1327	1257	57.34%	22.98%	19.68%	+0.71	-1.4	28
2016-03-05	@ Honved	D 0-0	49.8	1257	1327	19.68%	22.98%	57.34%	-0.71	+1.4	20
2016-03-08	Debrecen VSC	D 0-0	51.0	1259	1473	21.71%	23.86%	54.43%	-0.60	+1.2	21
2016-03-08	@ Vasas	D 0-0	51.0	1473	1259	54.43%	23.86%	21.71%	+0.60	-1.2	39
2016-03-09	Videoton	W 2-1	53.4	1343	1475	30.45%	25.91%	43.64%	-0.22	+6.1	27
2016-03-09	@ Diosgyor	L 1-2	53.4	1475	1343	43.64%	25.91%	30.45%	+0.22	-6.1	37
2016-03-09	Ferencvaros	L 0-1	38.4	1284	1579	15.65%	20.55%	63.80%	-0.96	-2.6	17
2016-03-09	@ Bekescsaba	W 1-0	38.4	1579	1284	63.80%	20.55%	15.65%	+0.96	+2.6	59
2016-03-09	Honved	W 1-0	36.9	1412	1326	59.20%	22.34%	18.46%	+0.78	+3.1	37
2016-03-09	@ MTK Budapest	L 0-1	36.9	1326	1412	18.46%	22.34%	59.20%	-0.78	-3.1	28
2016-03-09	Paks	W 2-1	50.2	1277	1393	32.41%	26.09%	41.50%	-0.15	+5.9	22
2016-03-09	@ Puskas	L 1-2	50.2	1393	1277	41.50%	26.09%	32.41%	+0.15	-5.9	33
2016-03-09	Ujpest	D 1-1	55.5	1303	1426	31.60%	26.02%	42.38%	-0.18	+0.3	36
2016-03-09	@ Szombathelyi Haladas	D 1-1	55.5	1426	1303	42.38%	26.02%	31.60%	+0.18	-0.3	37
2016-03-12	Bekescsaba	D 1-1	58.4	1469	1281	70.08%	17.66%	12.26%	+1.24	-1.9	38
2016-03-12	@ Videoton	D 1-1	58.4	1281	1469	12.26%	17.66%	70.08%	-1.24	+1.9	18
2016-03-12	Diosgyor	W 1-0	37.9	1425	1349	58.07%	22.74%	19.20%	+0.73	+3.2	40
2016-03-12	@ Ujpest	L 0-1	37.9	1349	1425	19.20%	22.74%	58.07%	-0.73	-3.2	27
2016-03-12	Honved	L 0-3	46.4	1472	1323	66.16%	19.52%	14.32%	+1.07	-24.8	39
2016-03-12	@ Debrecen VSC	W 3-0	46.4	1323	1472	14.32%	19.52%	66.16%	-1.07	+24.8	31
2016-03-12	Puskas	W 4-0	28.5	1582	1282	79.85%	12.46%	7.69%	+1.75	+4.0	62
2016-03-12	@ Ferencvaros	L 0-4	28.5	1282	1582	7.69%	12.46%	79.85%	-1.75	-4.0	22
2016-03-12	Szombathelyi Haladas	W 3-1	38.5	1415	1303	62.12%	21.24%	16.64%	+0.89	+4.6	40
2016-03-12	@ MTK Budapest	L 1-3	38.5	1303	1415	16.64%	21.24%	62.12%	-0.89	-4.6	36
2016-03-12	Vasas	W 2-0	31.0	1387	1260	63.88%	20.52%	15.60%	+0.97	+4.9	36
2016-03-12	@ Paks	L 0-2	31.0	1260	1387	15.60%	20.52%	63.88%	-0.97	-4.9	21
2016-03-19	Videoton	D 0-0	51.0	1278	1467	24.11%	24.67%	51.23%	-0.48	+1.0	23
2016-03-19	@ Puskas	D 0-0	51.0	1467	1278	51.23%	24.67%	24.11%	+0.48	-1.0	39
2016-03-19	Ferencvaros	L 1-4	36.5	1255	1586	13.55%	18.86%	67.59%	-1.13	-5.1	21
2016-03-19	@ Vasas	W 4-1	36.5	1586	1255	67.59%	18.86%	13.55%	+1.13	+5.1	65
2016-03-19	Paks	W 2-0	38.6	1347	1392	42.47%	26.01%	31.51%	+0.18	+9.5	34
2016-03-19	@ Honved	L 0-2	38.6	1392	1347	31.51%	26.01%	42.47%	-0.18	-9.6	36
2016-03-19	Szombathelyi Haladas	W 3-0	32.1	1346	1299	54.60%	23.81%	21.59%	+0.60	+10.0	30
2016-03-19	@ Diosgyor	L 0-3	32.1	1299	1346	21.59%	23.81%	54.60%	-0.60	-10.0	36
2016-03-19	Ujpest	W 1-0	45.7	1283	1429	28.82%	25.69%	45.49%	-0.28	+6.7	21
2016-03-19	@ Bekescsaba	L 0-1	45.7	1429	1283	45.49%	25.69%	28.82%	+0.28	-6.7	40
2016-03-20	Debrecen VSC	W 1-0	44.1	1419	1447	44.86%	25.77%	29.37%	+0.26	+4.8	43
2016-03-20	@ MTK Budapest	L 0-1	44.1	1447	1419	29.37%	25.77%	44.86%	-0.26	-4.8	39
2016-04-02	Diosgyor	D 0-0	49.3	1290	1356	39.47%	26.20%	34.34%	+0.08	-0.2	22
2016-04-02	@ Bekescsaba	D 0-0	49.3	1356	1290	34.34%	26.20%	39.47%	-0.08	+0.2	31
2016-04-02	Videoton	W 2-1	52.6	1357	1466	33.40%	26.15%	40.45%	-0.11	+5.8	37
2016-04-02	@ Honved	L 1-2	52.6	1466	1357	40.45%	26.15%	33.40%	+0.11	-5.8	39
2016-04-02	Ferencvaros	W 2-1	61.1	1442	1591	28.42%	25.63%	45.96%	-0.30	+6.4	42
2016-04-02	@ Debrecen VSC	L 1-2	61.1	1591	1442	45.96%	25.63%	28.42%	+0.30	-6.4	65
2016-04-02	MTK Budapest	W 4-1	43.1	1383	1424	42.92%	25.98%	31.11%	+0.19	+11.6	39
2016-04-02	@ Paks	L 1-4	43.1	1424	1383	31.11%	25.98%	42.92%	-0.19	-11.6	43
2016-04-02	Szombathelyi Haladas	D 1-1	54.1	1279	1289	47.30%	25.42%	27.27%	+0.34	-0.6	24
2016-04-02	@ Puskas	D 1-1	54.1	1289	1279	27.27%	25.42%	47.30%	-0.34	+0.6	37
2016-04-02	Ujpest	W 3-2	57.3	1250	1422	25.80%	25.11%	49.09%	-0.40	+6.4	24
2016-04-02	@ Vasas	L 2-3	57.3	1422	1250	49.09%	25.11%	25.80%	+0.40	-6.4	40
2016-04-05	Debrecen VSC	W 1-0	43.9	1460	1448	50.13%	24.90%	24.97%	+0.44	+4.2	42
2016-04-05	@ Videoton	L 0-1	43.9	1448	1460	24.97%	24.90%	50.13%	-0.44	-4.2	42
2016-04-06	Bekescsaba	W 3-0	30.1	1413	1290	63.35%	20.74%	15.91%	+0.95	+7.3	46
2016-04-06	@ MTK Budapest	L 0-3	30.1	1290	1413	15.91%	20.74%	63.35%	-0.95	-7.3	22
2016-04-06	Honved	W 2-0	35.4	1416	1363	55.28%	23.62%	21.11%	+0.63	+6.7	43
2016-04-06	@ Ujpest	L 0-2	35.4	1363	1416	21.11%	23.62%	55.28%	-0.63	-6.7	37
2016-04-06	Paks	W 5-2	42.5	1584	1394	70.34%	17.53%	12.13%	+1.26	+3.9	68
2016-04-06	@ Ferencvaros	L 2-5	42.5	1394	1584	12.13%	17.53%	70.34%	-1.26	-3.9	39
2016-04-06	Puskas	W 2-1	42.2	1356	1279	58.24%	22.68%	19.09%	+0.74	+3.0	34
2016-04-06	@ Diosgyor	L 1-2	42.2	1279	1356	19.09%	22.68%	58.24%	-0.74	-3.0	24
2016-04-06	Vasas	W 2-1	43.2	1289	1256	52.85%	24.28%	22.87%	+0.54	+3.6	40
2016-04-06	@ Szombathelyi Haladas	L 1-2	43.2	1256	1289	22.87%	24.28%	52.85%	-0.54	-3.6	24
2016-04-09	Bekescsaba	W 1-0	38.1	1293	1283	49.92%	24.95%	25.13%	+0.43	+4.2	43
2016-04-09	@ Szombathelyi Haladas	L 0-1	38.1	1283	1293	25.13%	24.95%	49.92%	-0.43	-4.2	22
2016-04-09	Debrecen VSC	L 0-1	46.9	1390	1444	41.18%	26.11%	32.71%	+0.14	-6.2	39
2016-04-09	@ Paks	W 1-0	46.9	1444	1390	32.71%	26.11%	41.18%	-0.14	+6.2	45
2016-04-09	Diosgyor	D 0-0	52.0	1420	1359	56.21%	23.34%	20.46%	+0.66	-1.3	47
2016-04-09	@ MTK Budapest	D 0-0	52.0	1359	1420	20.46%	23.34%	56.21%	-0.66	+1.3	35
2016-04-09	Puskas	D 2-2	63.1	1422	1276	65.93%	19.62%	14.45%	+1.06	-1.3	44
2016-04-09	@ Ujpest	D 2-2	63.1	1276	1422	14.45%	19.62%	65.93%	-1.06	+1.3	25
2016-04-09	Vasas	D 2-2	64.3	1464	1252	72.43%	16.48%	11.10%	+1.36	-1.5	43
2016-04-09	@ Videoton	D 2-2	64.3	1252	1464	11.10%	16.48%	72.43%	-1.36	+1.5	25
2016-04-10	Honved	W 2-1	44.1	1588	1356	74.28%	15.51%	10.21%	+1.45	+1.5	71
2016-04-10	@ Ferencvaros	L 1-2	44.1	1356	1588	10.21%	15.51%	74.28%	-1.45	-1.5	37
2016-04-12	Paks	W 1-0	40.0	1419	1384	53.00%	24.24%	22.76%	+0.54	+3.8	50
2016-04-12	@ MTK Budapest	L 0-1	40.0	1384	1419	22.76%	24.24%	53.00%	-0.54	-3.8	39
2016-04-16	Bekescsaba	L 0-1	45.0	1277	1278	48.36%	25.25%	26.39%	+0.38	-7.0	25
2016-04-16	@ Puskas	W 1-0	45.0	1278	1277	26.39%	25.25%	48.36%	-0.38	+7.0	25
2016-04-16	Diosgyor	L 1-3	44.0	1254	1361	33.73%	26.17%	40.10%	-0.10	-8.7	25
2016-04-16	@ Vasas	W 3-1	44.0	1361	1254	40.10%	26.17%	33.73%	+0.10	+8.7	38
2016-04-16	Videoton	L 0-1	46.0	1380	1463	37.07%	26.25%	36.68%	+0.01	-5.7	39
2016-04-16	@ Paks	W 1-0	46.0	1463	1380	36.68%	26.25%	37.07%	-0.01	+5.7	46
2016-04-16	MTK Budapest	D 2-2	72.0	1590	1422	68.08%	18.63%	13.29%	+1.15	-1.4	72
2016-04-16	@ Ferencvaros	D 2-2	72.0	1422	1590	13.29%	18.63%	68.08%	-1.15	+1.4	51
2016-04-16	Szombathelyi Haladas	L 0-1	47.4	1355	1297	55.83%	23.45%	20.72%	+0.65	-7.9	37
2016-04-16	@ Honved	W 1-0	47.4	1297	1355	20.72%	23.45%	55.83%	-0.65	+7.9	46
2016-04-16	Ujpest	W 1-0	42.1	1450	1421	52.35%	24.40%	23.25%	+0.52	+3.9	48
2016-04-16	@ Debrecen VSC	L 0-1	42.1	1421	1450	23.25%	24.40%	52.35%	-0.52	-3.9	44
2016-04-19	Vasas	D 1-1	54.4	1285	1245	53.72%	24.05%	22.23%	+0.57	-1.0	26
2016-04-19	@ Bekescsaba	D 1-1	54.4	1245	1285	22.23%	24.05%	53.72%	-0.57	+1.0	26
2016-04-20	Debrecen VSC	D 2-2	62.3	1305	1454	28.37%	25.62%	46.01%	-0.30	+0.4	47
2016-04-20	@ Szombathelyi Haladas	D 2-2	62.3	1454	1305	46.01%	25.62%	28.37%	+0.30	-0.4	49
2016-04-20	Ferencvaros	W 1-0	54.7	1469	1588	32.00%	26.06%	41.95%	-0.16	+6.3	49
2016-04-20	@ Videoton	L 0-1	54.7	1588	1469	41.95%	26.06%	32.00%	+0.16	-6.3	72
2016-04-20	Honved	L 1-2	53.4	1369	1347	51.50%	24.60%	23.89%	+0.49	-7.0	38
2016-04-20	@ Diosgyor	W 2-1	53.4	1347	1369	23.89%	24.60%	51.50%	-0.49	+7.0	40
2016-04-20	Paks	D 1-1	57.3	1417	1375	54.02%	23.97%	22.01%	+0.58	-1.0	45
2016-04-20	@ Ujpest	D 1-1	57.3	1375	1417	22.01%	23.97%	54.02%	-0.58	+1.0	40
2016-04-20	Puskas	L 0-1	49.9	1424	1270	66.68%	19.28%	14.04%	+1.09	-9.1	51
2016-04-20	@ MTK Budapest	W 1-0	49.9	1270	1424	14.04%	19.28%	66.68%	-1.09	+9.1	28
2016-04-23	Bekescsaba	W 2-1	42.5	1354	1284	57.25%	23.01%	19.75%	+0.70	+3.2	43
2016-04-23	@ Honved	L 1-2	42.5	1284	1354	19.75%	23.01%	57.25%	-0.70	-3.2	26
2016-04-23	Diosgyor	W 3-1	41.0	1454	1362	59.87%	22.10%	18.03%	+0.80	+5.0	52
2016-04-23	@ Debrecen VSC	L 1-3	41.0	1362	1454	18.03%	22.10%	59.87%	-0.80	-5.0	38
2016-04-23	MTK Budapest	W 5-0	37.1	1475	1415	56.19%	23.34%	20.47%	+0.66	+15.3	52
2016-04-23	@ Videoton	L 0-5	37.1	1415	1475	20.47%	23.34%	56.19%	-0.66	-15.3	51
2016-04-23	Puskas	W 1-0	39.6	1246	1279	44.13%	25.85%	30.02%	+0.23	+4.9	29
2016-04-23	@ Vasas	L 0-1	39.6	1279	1246	30.02%	25.85%	44.13%	-0.23	-4.9	28
2016-04-23	Szombathelyi Haladas	L 2-3	59.2	1376	1306	57.35%	22.97%	19.68%	+0.71	-7.2	40
2016-04-23	@ Paks	W 3-2	59.2	1306	1376	19.68%	22.97%	57.35%	-0.71	+7.2	50
2016-04-23	Ujpest	D 2-2	71.4	1582	1416	67.93%	18.70%	13.37%	+1.14	-1.4	73
2016-04-23	@ Ferencvaros	D 2-2	71.4	1416	1582	13.37%	18.70%	67.93%	-1.14	+1.4	46
2016-04-30	Debrecen VSC	D 0-0	50.8	1281	1459	25.24%	24.97%	49.79%	-0.43	+0.9	27
2016-04-30	@ Bekescsaba	D 0-0	50.8	1459	1281	49.79%	24.97%	25.24%	+0.43	-0.9	53
2016-04-30	Videoton	L 0-3	43.2	1417	1490	38.50%	26.23%	35.28%	+0.05	-16.1	46
2016-04-30	@ Ujpest	W 3-0	43.2	1490	1417	35.28%	26.23%	38.50%	-0.05	+16.1	55
2016-04-30	Ferencvaros	L 0-1	40.2	1313	1581	17.44%	21.75%	60.82%	-0.84	-2.9	50
2016-04-30	@ Szombathelyi Haladas	W 1-0	40.2	1581	1313	60.82%	21.75%	17.44%	+0.84	+2.9	76
2016-04-30	Honved	W 2-1	48.5	1274	1357	37.09%	26.25%	36.67%	+0.01	+5.4	31
2016-04-30	@ Puskas	L 1-2	48.5	1357	1274	36.67%	26.25%	37.09%	-0.01	-5.4	43
2016-04-30	Paks	L 0-2	42.9	1357	1368	47.09%	25.46%	27.45%	+0.33	-13.0	38
2016-04-30	@ Diosgyor	W 2-0	42.9	1368	1357	27.45%	25.46%	47.09%	-0.33	+13.0	43
2016-04-30	Vasas	L 0-2	45.9	1399	1251	66.09%	19.55%	14.36%	+1.06	-17.0	51
2016-04-30	@ MTK Budapest	W 2-0	45.9	1251	1399	14.36%	19.55%	66.09%	-1.06	+17.0	32

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	2015-07-25	10.31%	Szombathelyi Haladas	1266	1	@ Videoton	1496	0
2	2015-08-09	12.40%	Szombathelyi Haladas	1276	1	@ Debrecen VSC	1461	0
3	2015-12-12	12.82%	Ujpest	1417	1	@ Ferencvaros	1593	0
4	2016-04-20	14.04%	Puskas	1270	1	@ MTK Budapest	1424	0
5	2016-03-12	14.32%	Honved	1323	3	@ Debrecen VSC	1472	0
6	2016-04-30	14.36%	Vasas	1251	2	@ MTK Budapest	1399	0
7	2016-03-05	14.66%	Bekescsaba	1267	2	@ Paks	1410	0
8	2015-10-31	16.66%	Szombathelyi Haladas	1306	1	@ MTK Budapest	1417	0
9	2016-02-27	17.34%	@ Honved	1319	2	Ferencvaros	1589	1
10	2015-08-08	18.80%	Vasas	1258	2	@ Bekescsaba	1340	0
11	2016-04-23	19.68%	Szombathelyi Haladas	1306	3	@ Paks	1376	2
12	2015-09-12	20.61%	Vasas	1272	1	@ Honved	1331	0
13	2016-04-16	20.72%	Szombathelyi Haladas	1297	1	@ Honved	1355	0
14	2015-08-15	22.39%	@ Vasas	1274	2	Videoton	1480	1
15	2016-02-13	22.92%	Szombathelyi Haladas	1298	1	@ Honved	1331	0
16	2015-07-18	23.16%	@ Honved	1305	1	Videoton	1504	0
17	2016-04-20	23.89%	Honved	1347	2	@ Diosgyor	1369	1
18	2015-08-29	24.16%	Szombathelyi Haladas	1294	1	@ Bekescsaba	1314	0
19	2015-08-22	24.60%	Honved	1315	4	@ Bekescsaba	1330	1
20	2016-04-02	25.80%	@ Vasas	1250	3	Ujpest	1422	2
21	2015-10-24	26.33%	@ Szombathelyi Haladas	1299	1	Videoton	1466	0
22	2016-04-16	26.39%	Bekescsaba	1278	1	@ Puskas	1277	0
23	2015-09-26	26.46%	@ Bekescsaba	1304	2	Videoton	1471	0
24	2015-11-21	27.23%	@ MTK Budapest	1409	1	Ferencvaros	1568	0
25	2015-12-05	27.35%	Videoton	1466	2	@ Debrecen VSC	1456	1

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2016-03-12	24.78	Honved	3	1323	14.32%	@ Debrecen VSC	0	1472	66.16%	19.52%
2	2015-12-05	21.35	Ferencvaros	5	1572	44.38%	@ Paks	0	1435	29.79%	25.83%
3	2015-12-05	18.74	Honved	3	1317	27.82%	@ Puskas	0	1303	46.66%	25.52%
4	2015-08-08	18.38	@ MTK Budapest	5	1389	50.12%	Diosgyor	0	1377	24.98%	24.91%
5	2015-12-02	18.09	@ Vasas	4	1245	42.53%	Bekescsaba	0	1289	31.46%	26.01%
6	2016-04-30	17.05	Vasas	2	1251	14.36%	@ MTK Budapest	0	1399	66.09%	19.55%
7	2016-03-05	16.94	Bekescsaba	2	1267	14.66%	@ Paks	0	1410	65.54%	19.80%
8	2015-08-22	16.87	Honved	4	1315	24.60%	@ Bekescsaba	1	1330	50.59%	24.81%
9	2015-08-22	16.44	Ferencvaros	3	1528	34.33%	@ Debrecen VSC	0	1462	39.47%	26.20%
10	2016-04-30	16.14	Videoton	3	1490	35.28%	@ Ujpest	0	1417	38.50%	26.23%
11	2015-10-17	15.54	@ Debrecen VSC	7	1449	64.28%	Bekescsaba	0	1318	15.37%	20.35%
12	2015-08-08	15.53	Vasas	2	1258	18.80%	@ Bekescsaba	0	1340	58.67%	22.53%
13	2015-11-28	15.41	Ujpest	3	1399	37.59%	@ Szombathelyi Haladas	0	1310	36.16%	26.24%
14	2016-04-23	15.27	@ Videoton	5	1475	56.19%	MTK Budapest	0	1415	20.47%	23.34%
15	2015-09-26	13.26	@ Bekescsaba	2	1304	26.46%	Videoton	0	1471	48.28%	25.26%
16	2015-07-25	13.15	@ Paks	4	1405	54.34%	Bekescsaba	0	1359	21.78%	23.88%
17	2016-04-30	12.99	Paks	2	1368	27.45%	@ Diosgyor	0	1357	47.09%	25.46%
18	2016-04-02	11.58	@ Paks	4	1383	42.92%	MTK Budapest	1	1424	31.11%	25.98%
19	2015-08-08	11.02	Ferencvaros	3	1512	28.51%	@ Videoton	1	1491	45.85%	25.64%
20	2015-08-15	10.49	Debrecen VSC	2	1451	38.14%	@ Diosgyor	0	1359	35.62%	26.23%
21	2015-09-12	10.25	@ Paks	2	1404	39.24%	Videoton	0	1472	34.56%	26.21%
22	2016-03-19	9.98	@ Diosgyor	3	1346	54.60%	Szombathelyi Haladas	0	1299	21.59%	23.81%
23	2015-07-25	9.81	Szombathelyi Haladas	1	1266	10.31%	@ Videoton	0	1496	74.08%	15.61%
24	2016-03-19	9.55	@ Honved	2	1347	42.47%	Paks	0	1392	31.51%	26.01%
25	2015-11-28	9.41	Puskas	4	1293	30.80%	@ Vasas	2	1254	43.26%	25.94%

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	2016-04-16	72.0	@ Ferencvaros	2	1590	68.08%	MTK Budapest	2	1422	13.29%	18.63%
2	2016-04-23	71.4	@ Ferencvaros	2	1582	67.93%	Ujpest	2	1416	13.37%	18.70%
3	2016-03-05	69.7	@ Ferencvaros	2	1581	74.87%	Diosgyor	2	1342	9.93%	15.19%
4	2015-08-02	66.1	@ Honved	3	1318	29.10%	Debrecen VSC	3	1461	45.17%	25.73%
5	2016-04-09	64.3	@ Videoton	2	1464	72.43%	Vasas	2	1252	11.10%	16.48%
6	2016-04-09	63.1	@ Ujpest	2	1422	65.93%	Puskas	2	1276	14.45%	19.62%
7	2015-09-26	62.8	@ Ujpest	2	1382	44.80%	MTK Budapest	2	1409	29.42%	25.78%
8	2015-08-08	62.6	@ Ujpest	2	1404	60.06%	Puskas	2	1311	17.91%	22.03%
9	2016-04-20	62.3	@ Szombathelyi Haladas	2	1305	28.37%	Debrecen VSC	2	1454	46.01%	25.62%
10	2015-12-02	62.2	@ Szombathelyi Haladas	2	1294	26.87%	Debrecen VSC	2	1457	47.78%	25.35%
11	2016-04-02	61.1	@ Debrecen VSC	2	1442	28.42%	Ferencvaros	1	1591	45.96%	25.63%
12	2015-08-01	60.8	@ Szombathelyi Haladas	2	1276	32.87%	MTK Budapest	2	1389	41.01%	26.12%
13	2016-02-27	59.9	@ Honved	2	1319	17.34%	Ferencvaros	1	1589	60.97%	21.69%
14	2016-02-27	59.6	@ Ujpest	1	1431	43.28%	Debrecen VSC	1	1469	30.78%	25.94%
15	2016-04-23	59.2	Szombathelyi Haladas	3	1306	19.68%	@ Paks	2	1376	57.35%	22.97%
16	2015-12-12	58.8	Ujpest	1	1417	12.82%	@ Ferencvaros	0	1593	68.98%	18.20%
17	2015-09-26	58.5	@ Paks	1	1414	43.66%	Debrecen VSC	1	1450	30.44%	25.90%
18	2015-10-03	58.5	@ Debrecen VSC	1	1450	57.22%	Ujpest	1	1381	19.76%	23.01%
19	2016-02-20	58.4	@ Videoton	1	1471	72.03%	Bekescsaba	1	1263	11.29%	16.68%
20	2016-03-12	58.4	@ Videoton	1	1469	70.08%	Bekescsaba	1	1281	12.26%	17.66%
21	2015-07-26	58.3	@ Debrecen VSC	1	1463	67.35%	Puskas	1	1303	13.68%	18.97%
22	2016-02-20	58.3	@ Ujpest	1	1431	51.58%	MTK Budapest	1	1408	23.83%	24.59%
23	2015-12-05	57.4	Videoton	2	1466	27.35%	@ Debrecen VSC	1	1456	47.21%	25.44%
24	2016-04-02	57.3	@ Vasas	3	1250	25.80%	Ujpest	2	1422	49.09%	25.11%
25	2016-04-20	57.3	@ Ujpest	1	1417	54.02%	Paks	1	1375	22.01%	23.97%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2016-02-13	28.3	@ Debrecen VSC	4	1456	70.31%	Vasas	0	1266	12.14%	17.55%
2	2016-03-12	28.5	@ Ferencvaros	4	1582	79.85%	Puskas	0	1282	7.69%	12.46%
3	2016-02-27	29.1	@ Paks	3	1403	65.15%	Vasas	0	1264	14.88%	19.97%
4	2015-11-21	29.5	@ Videoton	2	1462	71.71%	Vasas	0	1258	11.45%	16.85%
5	2016-04-06	30.1	@ MTK Budapest	3	1413	63.35%	Bekescsaba	0	1290	15.91%	20.74%
6	2016-02-20	30.4	@ Ferencvaros	2	1586	79.98%	Puskas	0	1286	7.64%	12.39%
7	2015-10-31	30.9	@ Ferencvaros	5	1565	80.19%	Vasas	1	1261	7.54%	12.26%
8	2016-03-12	31.0	@ Paks	2	1387	63.88%	Vasas	0	1260	15.60%	20.52%
9	2015-10-17	31.2	@ Videoton	3	1459	64.47%	Honved	0	1327	15.26%	20.26%
10	2015-10-24	31.5	@ Ujpest	2	1379	62.23%	Vasas	0	1266	16.57%	21.20%
11	2016-03-19	32.1	@ Diosgyor	3	1346	54.60%	Szombathelyi Haladas	0	1299	21.59%	23.81%
12	2015-11-21	32.6	@ Paks	2	1430	62.54%	Szombathelyi Haladas	0	1315	16.39%	21.07%
13	2015-12-12	32.7	@ Diosgyor	2	1342	57.34%	Bekescsaba	0	1272	19.69%	22.98%
14	2015-10-17	32.9	@ Debrecen VSC	7	1449	64.28%	Bekescsaba	0	1318	15.37%	20.35%
15	2015-07-25	33.8	@ Paks	4	1405	54.34%	Bekescsaba	0	1359	21.78%	23.88%
16	2015-08-01	34.6	Ferencvaros	2	1505	57.68%	@ Vasas	0	1264	19.46%	22.86%
17	2015-09-19	34.7	@ Ferencvaros	1	1553	75.62%	Bekescsaba	0	1306	9.59%	14.79%
18	2015-08-01	34.9	@ Ujpest	2	1397	55.02%	Bekescsaba	0	1346	21.29%	23.69%
19	2015-09-19	34.9	@ Videoton	3	1462	57.45%	Ujpest	0	1391	19.61%	22.94%
20	2015-12-02	35.0	@ Vasas	4	1245	42.53%	Bekescsaba	0	1289	31.46%	26.01%
21	2015-07-19	35.2	Ferencvaros	2	1494	55.32%	@ Szombathelyi Haladas	0	1273	21.08%	23.60%
22	2016-04-06	35.4	@ Ujpest	2	1416	55.28%	Honved	0	1363	21.11%	23.62%
23	2015-08-08	35.8	@ MTK Budapest	5	1389	50.12%	Diosgyor	0	1377	24.98%	24.91%
24	2015-07-18	36.4	@ MTK Budapest	1	1391	59.16%	Puskas	0	1306	18.48%	22.35%
25	2016-03-19	36.5	Ferencvaros	4	1586	67.59%	@ Vasas	1	1255	13.55%	18.86%