2016-17 Nemzeti Bajnokság I Season

198 games

Final

Champion

Honved

65 points · 14th Title

Last Title: 1992-93

Relegated

No relegation

Biggest Overachiever

Honved

15.97 points above expected

65 points · 49.03 expected points

Biggest Disappointment

Gyirmot

12.88 points below expected

24 points · 36.88 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	Honved Champion	33	20	5	8	65	55	30	+25	49.03	+15.97
2	Videoton	33	18	8	7	62	65	28	+37	59.57	+2.43
3	Ferencvaros	33	14	10	9	52	54	44	+10	53.77	-1.77
4	Vasas	33	15	7	11	52	50	40	+10	46.74	+5.26
5	Paks	33	11	12	10	45	41	37	+4	43.44	+1.56
6	Szombathelyi Haladas	33	12	7	14	43	42	46	-4	42.24	+0.76
7	Ujpest	33	10	12	11	42	47	51	-4	45.98	-3.98
8	Debrecen VSC	33	11	8	14	41	42	46	-4	47.01	-6.01
9	Mezokovesd	33	10	10	13	40	39	54	-15	38.99	+1.01
10	MTK Budapest	33	8	13	12	37	26	36	-10	38.98	-1.98
11	Diosgyor	33	10	7	16	37	39	58	-19	36.30	+0.70
12	Gyirmot	33	5	9	19	24	21	51	-30	36.88	-12.88

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	Honved	65	49.03	+15.97
2	Vasas	52	46.74	+5.26
3	Videoton	62	59.57	+2.43
4	Paks	45	43.44	+1.56
5	Mezokovesd	40	38.99	+1.01

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Gyirmot	24	36.88	-12.88
2	Debrecen VSC	41	47.01	-6.01
3	Ujpest	42	45.98	-3.98
4	MTK Budapest	37	38.98	-1.98
5	Ferencvaros	52	53.77	-1.77

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	Szombathelyi Haladas	4	Aug 7 – Aug 21	1 in 87
2	Vasas	3	Jul 17 – Jul 31	1 in 59
3	Ujpest	4	Jul 30 – Aug 17	1 in 58
4	Honved	5	Nov 26 – Feb 25	1 in 38
5	Mezokovesd	3	Oct 15 – Oct 29	1 in 34

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Gyirmot	8	Oct 15 – Dec 10	1 in 1,508
2	Vasas	3	Mar 11 – Apr 1	1 in 73
3	Paks	3	Apr 15 – Apr 29	1 in 36
4	Diosgyor	4	Jul 30 – Aug 17	1 in 28
5	Ujpest	3	Apr 29 – May 13	1 in 24

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Ujpest	10	Sep 21 – Dec 10	1 in 70
2	Mezokovesd	7	Oct 15 – Dec 3	1 in 62
3	Paks	9	Dec 3 – Apr 12	1 in 55
4	MTK Budapest	5	Apr 8 – Apr 29	1 in 17
5	Diosgyor	5	Apr 22 – May 20	1 in 15

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Gyirmot	12	Oct 15 – Mar 11	1 in 74
2	Ujpest	9	Aug 21 – Nov 5	1 in 66
3	Diosgyor	9	Jul 30 – Sep 24	1 in 26
4	Debrecen VSC	7	Nov 5 – Feb 25	1 in 17
5	Ferencvaros	4	Dec 3 – Feb 25	1 in 10

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
Honved	1486	65	+51	15	8.7	+6.3
Videoton	1539	62	+31	12	9.2	+2.8
Ferencvaros	1436	52	+17	10	8.0	+2.0
Vasas	1368	52	-33	5	7.9	-2.9
Paks	1402	45	+12	7	8.1	-1.1
Szombathelyi Haladas	1326	43	-10	4	6.6	-2.6
Ujpest	1349	42	-40	3	6.6	-3.6
Debrecen VSC	1367	41	+5	7	5.6	+1.4
Mezokovesd	1279	40	-14	5	4.5	+0.5
Diosgyor	1293	37	-5	6	6.8	-0.8
MTK Budapest	1318	37	-5	5	5.3	-0.3
Gyirmot	1247	24	-10	4	4.6	-0.6

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	DV	DIO	FER	GYI	HON	MB	MEZ	PAK	SH	UJP	VAS	VID
Debrecen VSC	—	3-0-0 4.58	0-2-1 3.05	3-0-0 4.60	0-0-3 3.56	0-3-0 5.02	1-1-1 4.55	0-2-1 4.49	1-0-2 4.74	2-0-1 4.17	1-0-2 3.94	0-0-3 2.88
Diosgyor	0-0-3 3.58	—	0-1-2 2.47	1-1-1 4.04	1-0-2 3.28	0-1-2 3.66	0-2-1 4.18	2-0-1 3.17	1-0-2 3.41	2-1-0 3.59	1-1-1 3.37	2-0-1 2.23
Ferencvaros	1-2-0 5.12	2-1-0 5.76	—	3-0-0 5.36	2-0-1 4.38	1-1-1 5.14	1-1-1 5.67	0-1-2 4.86	2-0-1 5.50	2-1-0 5.01	0-1-2 5.08	0-2-1 3.20
Gyirmot	0-0-3 3.56	1-1-1 4.11	0-0-3 2.83	—	0-1-2 2.70	1-1-1 4.45	0-2-1 4.23	0-2-1 3.11	2-0-1 3.23	0-1-2 3.21	1-1-1 3.32	0-0-3 3.02
Honved	3-0-0 4.61	2-0-1 4.90	1-0-2 3.77	2-1-0 5.51	—	3-0-0 5.37	2-0-1 5.00	2-1-0 4.74	2-1-0 4.55	1-2-0 4.06	1-0-2 4.24	1-0-2 3.60
MTK Budapest	0-3-0 3.16	2-1-0 4.49	1-1-1 3.04	1-1-1 3.70	0-0-3 2.82	—	1-0-2 4.38	0-2-1 3.20	0-2-1 4.24	1-2-0 3.14	1-0-2 3.85	1-1-1 2.68
Mezokovesd	1-1-1 3.60	1-2-0 3.98	1-1-1 2.56	1-2-0 3.94	1-0-2 3.17	2-0-1 3.77	—	1-0-2 3.82	1-1-1 3.51	0-1-2 3.71	0-1-2 3.13	1-1-1 2.38
Paks	1-2-0 3.66	1-0-2 5.02	2-1-0 3.32	1-2-0 5.08	0-1-2 3.41	1-2-0 4.97	2-0-1 4.32	—	1-0-2 3.93	0-2-1 3.87	2-0-1 3.37	0-2-1 3.32
Szombathelyi Haladas	2-0-1 3.42	2-0-1 4.74	1-0-2 2.71	1-0-2 4.94	0-1-2 3.60	1-2-0 3.91	1-1-1 4.63	2-0-1 4.21	—	0-1-2 3.62	2-1-0 3.92	0-1-2 2.54
Ujpest	1-0-2 3.98	0-1-2 4.58	0-1-2 3.17	2-1-0 4.97	0-2-1 4.09	0-2-1 5.03	2-1-0 4.44	1-2-0 4.26	2-1-0 4.52	—	2-1-0 3.65	0-0-3 3.09
Vasas	2-0-1 4.21	1-1-1 4.79	2-1-0 3.11	1-1-1 4.86	2-0-1 3.89	2-0-1 4.31	2-1-0 5.04	1-0-2 4.78	0-1-2 4.24	0-1-2 4.50	—	2-1-0 2.91
Videoton	3-0-0 5.32	1-0-2 6.05	1-2-0 4.97	3-0-0 5.20	2-0-1 4.55	1-1-1 5.53	1-1-1 5.87	1-2-0 4.85	2-1-0 5.68	3-0-0 5.09	0-1-2 5.29	—

Points vs. Goals Scored, Allowed, and Differential

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

Fit Metrics

	R²	Slope
Scored	0.84	+8.5
Allowed	0.53	-8.8
Differential	0.93	+5.8

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.58%	8.84%	5.81%	2.53%	1.26%	0.51%	26.52%
1	8.84%	15.15%	7.83%	4.55%	0.25%	1.01%	37.63%
2	5.81%	7.83%	3.54%	2.53%	0.51%	0.51%	20.71%
3	2.53%	4.55%	2.53%	0.51%	0.25%	—	10.35%
4	1.26%	0.25%	0.51%	0.25%	0.51%	—	2.78%
5+	0.51%	1.01%	0.51%	—	—	—	2.02%
Total	26.52%	37.63%	20.71%	10.35%	2.78%	2.02%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.32	1.32	+0.00
SD	1.18	1.18	1.69
CV	0.89	0.89	—
Max	6	6	+5
Min	0	0	-5

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	15.15%	3.03%	—	—	—	30.30%
1	6.06%	12.12%	6.06%	9.09%	—	3.03%	36.36%
2	—	9.09%	—	3.03%	—	3.03%	15.15%
3	3.03%	6.06%	3.03%	—	—	—	12.12%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	24.24%	42.42%	15.15%	12.12%	—	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.39	-0.12
SD	1.21	1.32	1.69
CV	0.95	0.95	—
Max	4	5	+4
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	1.76	-0.58
SD	1.01	1.39	1.70
CV	0.86	0.79	—
Max	4	6	+2
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	—	6.06%	—	—	—	18.18%
1	9.09%	9.09%	15.15%	3.03%	3.03%	—	39.39%
2	6.06%	—	6.06%	—	—	—	12.12%
3	—	15.15%	9.09%	3.03%	—	—	27.27%
4	—	—	—	—	—	—	—
5+	—	—	3.03%	—	—	—	3.03%
Total	27.27%	24.24%	39.39%	6.06%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.33	+0.30
SD	1.34	1.05	1.51
CV	0.82	0.79	—
Max	6	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	18.18%	3.03%	3.03%	12.12%	—	48.48%
1	12.12%	9.09%	15.15%	3.03%	—	—	39.39%
2	—	3.03%	6.06%	3.03%	—	—	12.12%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	24.24%	30.30%	24.24%	9.09%	12.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.64	1.55	-0.91
SD	0.70	1.30	1.49
CV	1.10	0.84	—
Max	2	4	+1
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	6.06%	3.03%	—	—	18.18%
1	18.18%	12.12%	3.03%	3.03%	—	—	36.36%
2	9.09%	15.15%	—	3.03%	—	—	27.27%
3	3.03%	3.03%	—	—	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	3.03%	3.03%	3.03%	—	—	—	9.09%
Total	39.39%	39.39%	12.12%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	0.91	+0.76
SD	1.43	0.95	1.84
CV	0.86	1.04	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	0.79	1.09	-0.30
SD	0.78	1.13	1.29
CV	0.99	1.03	—
Max	3	5	+2
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	12.12%	—	3.03%	3.03%	27.27%
1	9.09%	18.18%	—	9.09%	—	3.03%	39.39%
2	3.03%	6.06%	9.09%	—	3.03%	—	21.21%
3	6.06%	3.03%	3.03%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	33.33%	24.24%	9.09%	6.06%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	1.64	-0.45
SD	0.98	1.41	1.91
CV	0.83	0.86	—
Max	3	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	9.09%	9.09%	—	—	—	33.33%
1	3.03%	21.21%	—	6.06%	—	3.03%	33.33%
2	—	12.12%	—	3.03%	—	—	15.15%
3	6.06%	9.09%	—	—	—	—	15.15%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	51.52%	9.09%	9.09%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.12	+0.12
SD	1.25	1.11	1.76
CV	1.01	0.99	—
Max	5	5	+5
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	6.06%	6.06%	—	—	21.21%
1	9.09%	15.15%	15.15%	6.06%	—	—	45.45%
2	12.12%	3.03%	3.03%	—	3.03%	—	21.21%
3	—	6.06%	3.03%	—	—	—	9.09%
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	24.24%	30.30%	30.30%	12.12%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.39	-0.12
SD	1.01	1.09	1.56
CV	0.79	0.78	—
Max	4	4	+2
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	6.06%	3.03%	—	—	18.18%
1	6.06%	21.21%	9.09%	3.03%	—	3.03%	42.42%
2	9.09%	6.06%	6.06%	—	—	—	21.21%
3	—	6.06%	3.03%	3.03%	3.03%	—	15.15%
4	—	—	—	—	3.03%	—	3.03%
5+	—	—	—	—	—	—	—
Total	18.18%	39.39%	24.24%	9.09%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.55	-0.12
SD	1.06	1.25	1.45
CV	0.75	0.81	—
Max	4	5	+2
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	15.15%	—	3.03%	—	—	18.18%
1	9.09%	12.12%	6.06%	—	—	—	27.27%
2	6.06%	18.18%	9.09%	9.09%	—	—	42.42%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	48.48%	18.18%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.21	+0.30
SD	1.00	0.93	1.40
CV	0.66	0.77	—
Max	4	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	6.06%	3.03%	—	—	—	15.15%
1	6.06%	18.18%	12.12%	—	—	—	36.36%
2	12.12%	3.03%	—	—	—	—	15.15%
3	9.09%	—	3.03%	—	—	—	12.12%
4	6.06%	3.03%	—	3.03%	—	—	12.12%
5+	—	9.09%	—	—	—	—	9.09%
Total	39.39%	39.39%	18.18%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.97	0.85	+1.12
SD	1.57	0.83	1.82
CV	0.80	0.98	—
Max	5	3	+4
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
Videoton	1539	62	59.57	+2.43	60.0%	41	45	55	59	64	70	75
Honved	1486	65	49.03	+15.97	98.0%	24	35	44	48	55	61	67
Ferencvaros	1436	52	53.77	-1.77	45.0%	37	42	50	53	58	64	70
Paks	1402	45	43.44	+1.56	64.0%	23	31	38	43	48	57	63
Vasas	1368	52	46.74	+5.26	78.0%	28	36	42	46	51	59	64
Debrecen VSC	1367	41	47.01	-6.01	24.0%	31	36	42	46	51	61	67
Ujpest	1349	42	45.98	-3.98	29.0%	24	34	41	47	51	58	62
Szombathelyi Haladas	1326	43	42.24	+0.76	57.0%	19	28	37	42	47	55	68
MTK Budapest	1318	37	38.98	-1.98	40.0%	20	28	34	40	44	49	56
Diosgyor	1293	37	36.30	+0.70	55.0%	19	27	31	36	41	47	55
Mezokovesd	1279	40	38.99	+1.01	58.0%	24	27	34	38	44	51	52
Gyirmot	1247	24	36.88	-12.88	1.0%	23	27	34	36	40	47	55

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

+16.16%

Slight Edge

44.44%27.27%28.28%

Elo Value

Home Edge

177 Elo

0.006 goals per Elo point

056.65500

Scoring Tilt

Expected

+0.41 goals

Neutral

-2+0.32+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

2.9

Top-Heavy

123410

Champion Preseason Odds

10%

Honved, 3rd of 12

LongshotFavorite

Title Margin

Expected

0.09/gm

Tight Race

00.180.5/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 5.77 * Some Luck: 5.77 to 8.66 * Lucky: 8.66 to 11.55 * Wild Swing: 11.55 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 1.72 * Close: 1.72 to 2.58 * Off: 2.58 to 3.44 * Way Off: 3.44 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

6.57 points

Some Luck

07.2218

Average Finish Error

Expected

1.33

Pinpoint

02.155

Biggest Overachiever

Expected 95.83%

98.00%

Honved

50100

Biggest Underachiever

Expected 4.17%

1.00%

Gyirmot

050

Season Outliers

Expected

2 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

0.13

Balanced

00.150.210.5

Noll-Scully

Elo SD: 86.01

1.52

Coin-Flip Parity

11.61.852.152.75

Interquartile Edge

64%

Even

50%65.5%75.5%100%

Best vs. Worst

Baseline

84%

Even

50%85%100%

Close Games

Expected

66%

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

0.64

Hard to Predict

00.632

Matchup Imbalance

0.28

Very Even

00.40.5

Strangeness

Expected

0.90

As Expected

01.002

Repeatability

-0.02

Weak Carryover

00.450.590.721

Upset Rate

Expected

27%

Very Upset-Prone

0%26%50%

Clear Favorite Upset Rate

Expected

24%

Very Shaky

0%22%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

1.00

Excellent

0.010.050.10.51

Calibration slope

Ideal

0.74

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.058

Well Within Noise

00.1210.3

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
Honved	10.00%	15.00%	13.00%	15.00%	14.00%	11.00%	4.00%	7.00%	4.00%	3.00%	2.00%	2.00%
Videoton	54.00%	20.00%	11.00%	5.00%	4.00%	2.00%	3.00%	1.00%	—	—	—	—
Ferencvaros	18.00%	27.00%	25.00%	11.00%	7.00%	4.00%	3.00%	2.00%	1.00%	2.00%	—	—
Vasas	6.00%	5.00%	10.00%	17.00%	17.00%	7.00%	10.00%	14.00%	3.00%	7.00%	1.00%	3.00%
Paks	1.00%	8.00%	9.00%	6.00%	10.00%	6.00%	15.00%	10.00%	17.00%	6.00%	7.00%	5.00%
Szombathelyi Haladas	3.00%	3.00%	7.00%	10.00%	8.00%	11.00%	8.00%	10.00%	12.00%	12.00%	8.00%	8.00%
Ujpest	1.00%	12.00%	9.00%	14.00%	13.00%	15.00%	6.00%	6.00%	11.00%	6.00%	5.00%	2.00%
Debrecen VSC	7.00%	8.00%	8.00%	13.00%	12.00%	16.00%	10.00%	9.00%	5.00%	7.00%	5.00%	—
Mezokovesd	—	—	4.00%	3.00%	7.00%	8.00%	9.00%	14.00%	14.00%	10.00%	14.00%	17.00%
MTK Budapest	—	1.00%	2.00%	2.00%	5.00%	9.00%	17.00%	10.00%	12.00%	15.00%	16.00%	11.00%
Diosgyor	—	1.00%	1.00%	1.00%	2.00%	6.00%	8.00%	9.00%	11.00%	12.00%	20.00%	29.00%
Gyirmot	—	—	1.00%	3.00%	1.00%	5.00%	7.00%	8.00%	10.00%	20.00%	22.00%	23.00%

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
Ferencvaros	100%	—
Videoton	100%	—
Honved	96.00%	4.00%
Vasas	96.00%	4.00%
Debrecen VSC	95.00%	5.00%
Ujpest	93.00%	7.00%
Paks	88.00%	12.00%
Szombathelyi Haladas	84.00%	16.00%
MTK Budapest	73.00%	27.00%
Mezokovesd	69.00%	31.00%
Gyirmot	55.00%	45.00%
Diosgyor	51.00%	49.00%

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
2016-07-16	Gyirmot	D 2-2	60.5	1330	1416	31.81%	28.83%	39.35%	-0.16	+0.2	1
2016-07-16	@ Mezokovesd	D 2-2	60.5	1416	1330	39.35%	28.83%	31.81%	+0.16	-0.2	1
2016-07-16	Honved	L 0-2	42.8	1368	1347	46.47%	28.10%	25.42%	+0.44	-19.9	0
2016-07-16	@ Ujpest	W 2-0	42.8	1347	1368	25.42%	28.10%	46.47%	-0.44	+19.9	3
2016-07-16	Szombathelyi Haladas	W 3-1	40.0	1441	1329	57.50%	25.35%	17.16%	+0.95	+7.6	3
2016-07-16	@ Ferencvaros	L 1-3	40.0	1329	1441	17.16%	25.35%	57.50%	-0.95	-7.6	0
2016-07-17	Diosgyor	L 1-2	54.4	1412	1344	52.38%	26.89%	20.74%	+0.70	-10.9	0
2016-07-17	@ Videoton	W 2-1	54.4	1344	1412	20.74%	26.89%	52.38%	-0.70	+10.9	3
2016-07-17	Paks	D 1-1	55.0	1392	1359	48.07%	27.83%	24.09%	+0.51	-1.1	1
2016-07-17	@ Debrecen VSC	D 1-1	55.0	1359	1392	24.09%	27.83%	48.07%	-0.51	+1.2	1
2016-07-17	Vasas	L 0-1	46.8	1359	1314	49.48%	27.56%	22.96%	+0.57	-11.1	0
2016-07-17	@ MTK Budapest	W 1-0	46.8	1314	1359	22.96%	27.56%	49.48%	-0.57	+11.1	3
2016-07-23	Ferencvaros	L 0-1	44.4	1367	1449	32.33%	28.86%	38.81%	-0.14	-8.0	3
2016-07-23	@ Honved	W 1-0	44.4	1449	1367	38.81%	28.86%	32.33%	+0.14	+8.0	6
2016-07-23	Mezokovesd	D 1-1	53.4	1321	1331	42.42%	28.61%	28.97%	+0.26	-0.6	1
2016-07-23	@ Szombathelyi Haladas	D 1-1	53.4	1331	1321	28.97%	28.61%	42.42%	-0.26	+0.6	2
2016-07-23	Ujpest	W 2-1	46.4	1355	1348	44.71%	28.35%	26.93%	+0.36	+6.6	6
2016-07-23	@ Diosgyor	L 1-2	46.4	1348	1355	26.93%	28.35%	44.71%	-0.36	-6.6	0
2016-07-24	Debrecen VSC	W 3-1	46.0	1326	1391	34.61%	28.92%	36.47%	-0.05	+14.3	6
2016-07-24	@ Vasas	L 1-3	46.0	1391	1326	36.47%	28.92%	34.61%	+0.05	-14.3	1
2016-07-24	Videoton	D 1-1	54.8	1360	1401	38.07%	28.89%	33.05%	+0.09	-0.2	2
2016-07-24	@ Paks	D 1-1	54.8	1401	1360	33.05%	28.89%	38.07%	-0.09	+0.2	1
2016-07-24	MTK Budapest	D 0-0	50.7	1416	1348	52.40%	26.88%	20.72%	+0.70	-1.7	2
2016-07-24	@ Gyirmot	D 0-0	50.7	1348	1416	20.72%	26.88%	52.40%	-0.70	+1.7	1
2016-07-30	Diosgyor	W 6-2	39.1	1457	1362	55.54%	25.99%	18.47%	+0.86	+12.7	9
2016-07-30	@ Ferencvaros	L 2-6	39.1	1362	1457	18.47%	25.99%	55.54%	-0.86	-12.7	6
2016-07-30	Honved	D 1-1	53.6	1320	1359	38.43%	28.87%	32.70%	+0.10	-0.3	2
2016-07-30	@ Szombathelyi Haladas	D 1-1	53.6	1359	1320	32.70%	28.87%	38.43%	-0.10	+0.3	4
2016-07-30	Paks	W 1-0	41.6	1341	1360	41.20%	28.72%	30.08%	+0.21	+7.6	3
2016-07-30	@ Ujpest	L 0-1	41.6	1360	1341	30.08%	28.72%	41.20%	-0.21	-7.6	2
2016-07-31	Gyirmot	W 4-0	38.3	1376	1414	38.56%	28.87%	32.57%	+0.11	+28.9	4
2016-07-31	@ Debrecen VSC	L 0-4	38.3	1414	1376	32.57%	28.87%	38.56%	-0.11	-28.9	2
2016-07-31	Mezokovesd	L 0-1	46.0	1349	1331	46.14%	28.15%	25.70%	+0.42	-10.5	1
2016-07-31	@ MTK Budapest	W 1-0	46.0	1331	1349	25.70%	28.15%	46.14%	-0.42	+10.5	5
2016-07-31	Vasas	L 1-2	53.9	1401	1340	51.59%	27.08%	21.33%	+0.67	-10.8	1
2016-07-31	@ Videoton	W 2-1	53.9	1340	1401	21.33%	27.08%	51.59%	-0.67	+10.8	9
2016-08-06	Ferencvaros	D 0-0	51.5	1352	1469	27.83%	28.48%	43.69%	-0.34	+0.8	3
2016-08-06	@ Paks	D 0-0	51.5	1469	1352	43.69%	28.48%	27.83%	+0.34	-0.8	10
2016-08-06	Honved	L 0-3	39.7	1349	1359	42.37%	28.62%	29.02%	+0.26	-26.8	6
2016-08-06	@ Diosgyor	W 3-0	39.7	1359	1349	29.02%	28.62%	42.37%	-0.26	+26.8	7
2016-08-06	Ujpest	L 0-1	45.7	1351	1349	44.00%	28.44%	27.56%	+0.33	-10.1	9
2016-08-06	@ Vasas	W 1-0	45.7	1349	1351	27.56%	28.44%	44.00%	-0.33	+10.1	6
2016-08-07	Debrecen VSC	L 0-1	43.8	1342	1405	34.83%	28.93%	36.24%	-0.04	-8.5	5
2016-08-07	@ Mezokovesd	W 1-0	43.8	1405	1342	36.24%	28.93%	34.83%	+0.04	+8.5	7
2016-08-07	Videoton	L 0-4	41.0	1385	1390	43.02%	28.55%	28.43%	+0.29	-35.5	2
2016-08-07	@ Gyirmot	W 4-0	41.0	1390	1385	28.43%	28.55%	43.02%	-0.29	+35.5	4
2016-08-07	Szombathelyi Haladas	L 0-2	42.1	1339	1320	46.24%	28.14%	25.62%	+0.43	-19.8	1
2016-08-07	@ MTK Budapest	W 2-0	42.1	1320	1339	25.62%	28.14%	46.24%	-0.43	+19.8	5
2016-08-13	Diosgyor	W 3-1	41.9	1340	1322	46.10%	28.16%	25.74%	+0.42	+11.0	8
2016-08-13	@ Szombathelyi Haladas	L 1-3	41.9	1322	1340	25.74%	28.16%	46.10%	-0.42	-11.0	6
2016-08-13	Gyirmot	W 3-1	42.7	1359	1350	44.97%	28.32%	26.71%	+0.37	+11.3	9
2016-08-13	@ Ujpest	L 1-3	42.7	1350	1359	26.71%	28.32%	44.97%	-0.37	-11.3	2
2016-08-13	Mezokovesd	W 2-0	34.6	1426	1333	55.28%	26.07%	18.65%	+0.84	+9.6	7
2016-08-13	@ Videoton	L 0-2	34.6	1333	1426	18.65%	26.07%	55.28%	-0.84	-9.6	5
2016-08-13	MTK Budapest	D 1-1	55.2	1414	1319	55.52%	26.00%	18.49%	+0.85	-1.8	8
2016-08-13	@ Debrecen VSC	D 1-1	55.2	1319	1414	18.49%	26.00%	55.52%	-0.85	+1.9	2
2016-08-13	Paks	W 3-1	42.3	1386	1353	48.05%	27.84%	24.12%	+0.50	+10.4	10
2016-08-13	@ Honved	L 1-3	42.3	1353	1386	24.12%	27.84%	48.05%	-0.50	-10.4	3
2016-08-13	Vasas	L 1-2	56.9	1468	1341	59.20%	24.73%	16.07%	+1.04	-12.1	10
2016-08-13	@ Ferencvaros	W 2-1	56.9	1341	1468	16.07%	24.73%	59.20%	-1.04	+12.1	12
2016-08-16	Videoton	W 1-0	46.4	1321	1435	28.14%	28.52%	43.34%	-0.33	+10.0	5
2016-08-16	@ MTK Budapest	L 0-1	46.4	1435	1321	43.34%	28.52%	28.14%	+0.33	-10.0	7
2016-08-17	Diosgyor	W 2-1	44.8	1343	1311	47.87%	27.87%	24.26%	+0.50	+6.0	6
2016-08-17	@ Paks	L 1-2	44.8	1311	1343	24.26%	27.87%	47.87%	-0.50	-6.0	6
2016-08-17	Ferencvaros	L 0-1	42.5	1338	1456	27.72%	28.46%	43.82%	-0.35	-7.1	2
2016-08-17	@ Gyirmot	W 1-0	42.5	1456	1338	43.82%	28.46%	27.72%	+0.35	+7.2	13
2016-08-17	Honved	W 2-0	39.7	1353	1396	37.70%	28.90%	33.40%	+0.07	+15.5	15
2016-08-17	@ Vasas	L 0-2	39.7	1396	1353	33.40%	28.90%	37.70%	-0.07	-15.5	10
2016-08-17	Szombathelyi Haladas	L 0-1	48.6	1412	1351	51.57%	27.09%	21.34%	+0.66	-11.5	8
2016-08-17	@ Debrecen VSC	W 1-0	48.6	1351	1412	21.34%	27.09%	51.57%	-0.66	+11.5	11
2016-08-17	Ujpest	L 0-2	40.0	1324	1370	37.29%	28.91%	33.80%	+0.06	-16.8	5
2016-08-17	@ Mezokovesd	W 2-0	40.0	1370	1324	33.80%	28.91%	37.29%	-0.06	+16.8	12
2016-08-21	Debrecen VSC	W 5-1	40.3	1426	1401	47.03%	28.01%	24.96%	+0.46	+19.6	10
2016-08-21	@ Videoton	L 1-5	40.3	1401	1426	24.96%	28.01%	47.03%	-0.46	-19.6	8
2016-08-21	Gyirmot	D 0-0	49.7	1381	1331	50.15%	27.41%	22.43%	+0.60	-1.5	11
2016-08-21	@ Honved	D 0-0	49.7	1331	1381	22.43%	27.41%	50.15%	-0.60	+1.5	3
2016-08-21	Mezokovesd	D 2-2	62.5	1464	1307	62.22%	23.52%	14.26%	+1.20	-1.8	14
2016-08-21	@ Ferencvaros	D 2-2	62.5	1307	1464	14.26%	23.52%	62.22%	-1.20	+1.8	6
2016-08-21	MTK Budapest	D 0-0	49.9	1387	1331	50.94%	27.24%	21.82%	+0.64	-1.6	13
2016-08-21	@ Ujpest	D 0-0	49.9	1331	1387	21.82%	27.24%	50.94%	-0.64	+1.6	6
2016-08-21	Paks	W 3-1	42.6	1362	1349	45.56%	28.24%	26.20%	+0.40	+11.2	14
2016-08-21	@ Szombathelyi Haladas	L 1-3	42.6	1349	1362	26.20%	28.24%	45.56%	-0.40	-11.2	6
2016-08-21	Vasas	D 1-1	53.6	1305	1368	34.90%	28.93%	36.18%	-0.04	+0.1	7
2016-08-21	@ Diosgyor	D 1-1	53.6	1368	1305	36.18%	28.93%	34.90%	+0.04	-0.1	16
2016-09-10	Diosgyor	W 1-0	39.1	1333	1305	47.37%	27.96%	24.68%	+0.48	+6.5	6
2016-09-10	@ Gyirmot	L 0-1	39.1	1305	1333	24.68%	27.96%	47.37%	-0.48	-6.5	7
2016-09-10	Ferencvaros	W 2-1	53.4	1333	1462	26.43%	28.28%	45.29%	-0.41	+9.7	9
2016-09-10	@ MTK Budapest	L 1-2	53.4	1462	1333	45.29%	28.28%	26.43%	+0.41	-9.7	14
2016-09-10	Honved	W 3-1	45.8	1309	1379	33.86%	28.91%	37.23%	-0.08	+14.5	9
2016-09-10	@ Mezokovesd	L 1-3	45.8	1379	1309	37.23%	28.91%	33.86%	+0.08	-14.5	11
2016-09-10	Paks	W 1-0	39.7	1368	1337	47.77%	27.89%	24.35%	+0.49	+6.4	19
2016-09-10	@ Vasas	L 0-1	39.7	1337	1368	24.35%	27.89%	47.77%	-0.49	-6.4	6
2016-09-10	Szombathelyi Haladas	W 3-0	34.7	1445	1373	52.83%	26.77%	20.40%	+0.72	+15.1	13
2016-09-10	@ Videoton	L 0-3	34.7	1373	1445	20.40%	26.77%	52.83%	-0.72	-15.1	14
2016-09-10	Ujpest	W 2-1	47.8	1381	1385	43.14%	28.54%	28.32%	+0.29	+6.9	11
2016-09-10	@ Debrecen VSC	L 1-2	47.8	1385	1381	28.32%	28.54%	43.14%	-0.29	-6.9	13
2016-09-17	Debrecen VSC	W 3-1	43.3	1452	1388	51.92%	27.00%	21.08%	+0.68	+9.3	17
2016-09-17	@ Ferencvaros	L 1-3	43.3	1388	1452	21.08%	27.00%	51.92%	-0.68	-9.3	11
2016-09-17	Videoton	L 3-4	58.4	1379	1460	32.34%	28.86%	38.80%	-0.14	-7.0	13
2016-09-17	@ Ujpest	W 4-3	58.4	1460	1379	38.80%	28.86%	32.34%	+0.14	+7.0	16
2016-09-17	Gyirmot	D 0-0	48.9	1331	1339	42.64%	28.59%	28.77%	+0.27	-0.7	7
2016-09-17	@ Paks	D 0-0	48.9	1339	1331	28.77%	28.59%	42.64%	-0.27	+0.7	7
2016-09-17	Mezokovesd	D 1-1	53.1	1299	1323	40.36%	28.78%	30.87%	+0.18	-0.4	8
2016-09-17	@ Diosgyor	D 1-1	53.1	1323	1299	30.87%	28.78%	40.36%	-0.18	+0.4	10
2016-09-17	MTK Budapest	W 5-0	35.2	1365	1342	46.71%	28.07%	25.23%	+0.45	+29.2	14
2016-09-17	@ Honved	L 0-5	35.2	1342	1365	25.23%	28.07%	46.71%	-0.45	-29.2	9
2016-09-17	Vasas	W 1-0	42.0	1358	1375	41.53%	28.69%	29.78%	+0.23	+7.6	17
2016-09-17	@ Szombathelyi Haladas	L 0-1	42.0	1375	1358	29.78%	28.69%	41.53%	-0.23	-7.6	19
2016-09-20	Honved	L 0-1	46.3	1379	1394	41.64%	28.68%	29.68%	+0.23	-9.7	11
2016-09-20	@ Debrecen VSC	W 1-0	46.3	1394	1379	29.68%	28.68%	41.64%	-0.23	+9.7	17
2016-09-21	Diosgyor	W 1-0	39.4	1313	1298	45.72%	28.22%	26.06%	+0.40	+6.8	12
2016-09-21	@ MTK Budapest	L 0-1	39.4	1298	1313	26.06%	28.22%	45.72%	-0.40	-6.8	8
2016-09-21	Ferencvaros	D 1-1	59.5	1467	1461	44.54%	28.38%	27.08%	+0.35	-0.8	17
2016-09-21	@ Videoton	D 1-1	59.5	1461	1467	27.08%	28.38%	44.54%	-0.35	+0.8	18
2016-09-21	Paks	L 1-3	47.0	1324	1330	42.85%	28.57%	28.58%	+0.28	-16.1	10
2016-09-21	@ Mezokovesd	W 3-1	47.0	1330	1324	28.58%	28.57%	42.85%	-0.28	+16.1	10
2016-09-21	Szombathelyi Haladas	D 1-1	54.6	1372	1366	44.49%	28.38%	27.12%	+0.35	-0.8	14
2016-09-21	@ Ujpest	D 1-1	54.6	1366	1372	27.12%	28.38%	44.49%	-0.35	+0.8	18
2016-09-21	Vasas	W 1-0	42.1	1340	1367	40.02%	28.80%	31.19%	+0.17	+7.8	10
2016-09-21	@ Gyirmot	L 0-1	42.1	1367	1340	31.19%	28.80%	40.02%	-0.17	-7.8	19
2016-09-24	Debrecen VSC	L 1-3	44.2	1291	1369	32.89%	28.88%	38.22%	-0.12	-13.3	8
2016-09-24	@ Diosgyor	W 3-1	44.2	1369	1291	38.22%	28.88%	32.89%	+0.12	+13.3	14
2016-09-24	Videoton	L 1-2	52.5	1404	1466	34.96%	28.93%	36.11%	-0.03	-8.0	17
2016-09-24	@ Honved	W 2-1	52.5	1466	1404	36.11%	28.93%	34.96%	+0.03	+8.0	20
2016-09-24	Gyirmot	L 0-1	46.5	1367	1348	46.26%	28.14%	25.60%	+0.43	-10.5	18
2016-09-24	@ Szombathelyi Haladas	W 1-0	46.5	1348	1367	25.60%	28.14%	46.26%	-0.43	+10.5	13
2016-09-24	Mezokovesd	W 4-0	32.8	1359	1308	50.40%	27.36%	22.24%	+0.61	+21.3	22
2016-09-24	@ Vasas	L 0-4	32.8	1308	1359	22.24%	27.36%	50.40%	-0.61	-21.3	10
2016-09-24	MTK Budapest	D 0-0	49.0	1346	1320	47.24%	27.98%	24.78%	+0.47	-1.2	11
2016-09-24	@ Paks	D 0-0	49.0	1320	1346	24.78%	27.98%	47.24%	-0.47	+1.2	13
2016-09-24	Ujpest	D 3-3	66.9	1462	1371	55.13%	26.12%	18.76%	+0.83	-1.1	19
2016-09-24	@ Ferencvaros	D 3-3	66.9	1371	1462	18.76%	26.12%	55.13%	-0.83	+1.1	15
2016-10-15	Debrecen VSC	D 1-1	54.3	1345	1382	38.64%	28.87%	32.49%	+0.11	-0.3	12
2016-10-15	@ Paks	D 1-1	54.3	1382	1345	32.49%	28.87%	38.64%	-0.11	+0.3	15
2016-10-15	Videoton	W 2-0	45.1	1278	1474	19.78%	26.54%	53.69%	-0.79	+22.3	11
2016-10-15	@ Diosgyor	L 0-2	45.1	1474	1278	53.69%	26.54%	19.78%	+0.79	-22.3	20
2016-10-15	Ferencvaros	W 2-0	43.6	1356	1461	29.35%	28.65%	42.00%	-0.27	+18.4	21
2016-10-15	@ Szombathelyi Haladas	L 0-2	43.6	1461	1356	42.00%	28.65%	29.35%	+0.27	-18.4	19
2016-10-15	Mezokovesd	L 0-1	47.3	1358	1286	52.86%	26.76%	20.38%	+0.73	-11.7	13
2016-10-15	@ Gyirmot	W 1-0	47.3	1286	1358	20.38%	26.76%	52.86%	-0.73	+11.7	13
2016-10-15	MTK Budapest	W 3-2	49.4	1381	1321	51.36%	27.14%	21.50%	+0.66	+5.2	25
2016-10-15	@ Vasas	L 2-3	49.4	1321	1381	21.50%	27.14%	51.36%	-0.66	-5.2	13
2016-10-15	Ujpest	D 1-1	55.2	1396	1372	46.88%	28.04%	25.08%	+0.45	-1.0	18
2016-10-15	@ Honved	D 1-1	55.2	1372	1396	25.08%	28.04%	46.88%	-0.45	+1.0	16
2016-10-22	Diosgyor	D 4-4	65.4	1373	1300	52.93%	26.74%	20.33%	+0.73	-0.9	17
2016-10-22	@ Ujpest	D 4-4	65.4	1300	1373	20.33%	26.74%	52.93%	-0.73	+0.9	12
2016-10-22	Gyirmot	W 1-0	41.7	1316	1346	39.53%	28.82%	31.64%	+0.15	+7.9	16
2016-10-22	@ MTK Budapest	L 0-1	41.7	1346	1316	31.64%	28.82%	39.53%	-0.15	-7.9	13
2016-10-22	Honved	W 3-2	52.5	1443	1395	49.95%	27.46%	22.60%	+0.59	+5.4	22
2016-10-22	@ Ferencvaros	L 2-3	52.5	1395	1443	22.60%	27.46%	49.95%	-0.59	-5.4	18
2016-10-22	Paks	W 5-1	36.7	1452	1345	56.92%	25.54%	17.54%	+0.92	+14.2	23
2016-10-22	@ Videoton	L 1-5	36.7	1345	1452	17.54%	25.54%	56.92%	-0.92	-14.3	12
2016-10-22	Szombathelyi Haladas	W 3-0	38.1	1298	1375	33.02%	28.89%	38.09%	-0.11	+24.8	16
2016-10-22	@ Mezokovesd	L 0-3	38.1	1375	1298	38.09%	28.89%	33.02%	+0.11	-24.8	21
2016-10-22	Vasas	L 1-2	52.4	1382	1386	43.30%	28.52%	28.18%	+0.30	-9.4	15
2016-10-22	@ Debrecen VSC	W 2-1	52.4	1386	1382	28.18%	28.52%	43.30%	-0.30	+9.4	28
2016-10-29	Debrecen VSC	L 1-2	50.2	1339	1373	38.99%	28.85%	32.16%	+0.13	-8.7	13
2016-10-29	@ Gyirmot	W 2-1	50.2	1373	1339	32.16%	28.85%	38.99%	-0.13	+8.7	18
2016-10-29	Videoton	D 1-1	57.2	1395	1466	33.76%	28.91%	37.33%	-0.08	+0.2	29
2016-10-29	@ Vasas	D 1-1	57.2	1466	1395	37.33%	28.91%	33.76%	+0.08	-0.2	24
2016-10-29	Ferencvaros	L 2-3	51.3	1301	1448	24.50%	27.92%	47.58%	-0.51	-5.8	12
2016-10-29	@ Diosgyor	W 3-2	51.3	1448	1301	47.58%	27.92%	24.50%	+0.51	+5.8	25
2016-10-29	MTK Budapest	W 1-0	40.3	1323	1324	43.59%	28.49%	27.92%	+0.31	+7.2	19
2016-10-29	@ Mezokovesd	L 0-1	40.3	1324	1323	27.92%	28.49%	43.59%	-0.31	-7.2	16
2016-10-29	Szombathelyi Haladas	W 2-1	45.6	1389	1350	48.87%	27.68%	23.45%	+0.54	+5.9	21
2016-10-29	@ Honved	L 1-2	45.6	1350	1389	23.45%	27.68%	48.87%	-0.54	-5.9	21
2016-10-29	Ujpest	D 1-1	53.9	1331	1372	38.03%	28.89%	33.08%	+0.09	-0.2	13
2016-10-29	@ Paks	D 1-1	53.9	1372	1331	33.08%	28.89%	38.03%	-0.09	+0.2	18
2016-11-05	Diosgyor	W 2-0	33.3	1395	1295	56.08%	25.82%	18.11%	+0.88	+9.3	24
2016-11-05	@ Honved	L 0-2	33.3	1295	1395	18.11%	25.82%	56.08%	-0.88	-9.3	12
2016-11-05	Gyirmot	W 4-0	31.9	1466	1330	60.10%	24.39%	15.52%	+1.09	+15.1	27
2016-11-05	@ Videoton	L 0-4	31.9	1330	1466	15.52%	24.39%	60.10%	-1.09	-15.1	13
2016-11-05	Mezokovesd	D 0-0	49.8	1382	1330	50.43%	27.35%	22.22%	+0.61	-1.5	19
2016-11-05	@ Debrecen VSC	D 0-0	49.8	1330	1382	22.22%	27.35%	50.43%	-0.61	+1.5	20
2016-11-05	MTK Budapest	D 1-1	53.7	1344	1317	47.34%	27.96%	24.70%	+0.47	-1.1	22
2016-11-05	@ Szombathelyi Haladas	D 1-1	53.7	1317	1344	24.70%	27.96%	47.34%	-0.47	+1.1	17
2016-11-05	Paks	L 1-2	56.2	1454	1330	58.70%	24.92%	16.38%	+1.01	-12.0	25
2016-11-05	@ Ferencvaros	W 2-1	56.2	1330	1454	16.38%	24.92%	58.70%	-1.01	+12.0	16
2016-11-05	Vasas	D 2-2	60.9	1372	1395	40.59%	28.76%	30.65%	+0.19	-0.3	19
2016-11-05	@ Ujpest	D 2-2	60.9	1395	1372	30.65%	28.76%	40.59%	-0.19	+0.3	30
2016-11-19	Debrecen VSC	D 1-1	53.9	1318	1380	34.99%	28.93%	36.08%	-0.03	+0.0	18
2016-11-19	@ MTK Budapest	D 1-1	53.9	1380	1318	36.08%	28.93%	34.99%	+0.03	-0.0	20
2016-11-19	Videoton	W 2-1	54.5	1331	1481	24.17%	27.85%	47.99%	-0.53	+10.2	23
2016-11-19	@ Mezokovesd	L 1-2	54.5	1481	1331	47.99%	27.85%	24.17%	+0.53	-10.2	27
2016-11-19	Ferencvaros	D 2-2	62.4	1396	1442	37.34%	28.91%	33.75%	+0.06	-0.1	31
2016-11-19	@ Vasas	D 2-2	62.4	1442	1396	33.75%	28.91%	37.34%	-0.06	+0.1	26
2016-11-19	Honved	D 1-1	54.6	1342	1404	35.09%	28.93%	35.99%	-0.03	+0.0	17
2016-11-19	@ Paks	D 1-1	54.6	1404	1342	35.99%	28.93%	35.09%	+0.03	-0.0	25
2016-11-19	Szombathelyi Haladas	W 2-1	48.2	1286	1343	35.83%	28.93%	35.24%	+0.00	+8.1	15
2016-11-19	@ Diosgyor	L 1-2	48.2	1343	1286	35.24%	28.93%	35.83%	+0.00	-8.1	22
2016-11-19	Ujpest	L 1-2	49.0	1315	1372	35.77%	28.93%	35.30%	+0.00	-8.1	13
2016-11-19	@ Gyirmot	W 2-1	49.0	1372	1315	35.30%	28.93%	35.77%	+0.00	+8.1	22
2016-11-26	Debrecen VSC	W 1-0	43.0	1335	1380	37.45%	28.91%	33.65%	+0.06	+8.3	25
2016-11-26	@ Szombathelyi Haladas	L 0-1	43.0	1380	1335	33.65%	28.91%	37.45%	-0.06	-8.3	20
2016-11-26	Gyirmot	W 2-0	33.0	1442	1307	59.98%	24.43%	15.58%	+1.08	+8.0	29
2016-11-26	@ Ferencvaros	L 0-2	33.0	1307	1442	15.58%	24.43%	59.98%	-1.08	-8.0	13
2016-11-26	Mezokovesd	D 1-1	54.6	1380	1342	48.75%	27.70%	23.55%	+0.54	-1.2	23
2016-11-26	@ Ujpest	D 1-1	54.6	1342	1380	23.55%	27.70%	48.75%	-0.54	+1.2	24
2016-11-26	MTK Budapest	W 2-0	33.2	1471	1318	61.89%	23.66%	14.45%	+1.18	+7.4	30
2016-11-26	@ Videoton	L 0-2	33.2	1318	1471	14.45%	23.66%	61.89%	-1.18	-7.4	18
2016-11-26	Paks	W 2-0	38.5	1294	1343	37.03%	28.92%	34.06%	+0.05	+15.7	18
2016-11-26	@ Diosgyor	L 0-2	38.5	1343	1294	34.06%	28.92%	37.03%	-0.05	-15.7	17
2016-11-26	Vasas	W 2-1	48.0	1404	1395	44.92%	28.33%	26.75%	+0.37	+6.6	28
2016-11-26	@ Honved	L 1-2	48.0	1395	1404	26.75%	28.33%	44.92%	-0.37	-6.5	31
2016-12-03	Diosgyor	W 3-0	32.2	1389	1310	53.69%	26.54%	19.77%	+0.76	+14.7	34
2016-12-03	@ Vasas	L 0-3	32.2	1310	1389	19.77%	26.54%	53.69%	-0.76	-14.7	18
2016-12-03	Videoton	L 0-1	44.3	1372	1478	29.11%	28.63%	42.27%	-0.28	-7.4	20
2016-12-03	@ Debrecen VSC	W 1-0	44.3	1478	1372	42.27%	28.63%	29.11%	+0.28	+7.4	33
2016-12-03	Ferencvaros	W 2-0	43.1	1343	1450	29.06%	28.62%	42.32%	-0.28	+18.5	27
2016-12-03	@ Mezokovesd	L 0-2	43.1	1450	1343	42.32%	28.62%	29.06%	+0.28	-18.5	29
2016-12-03	Honved	L 0-4	35.5	1299	1411	28.42%	28.55%	43.03%	-0.31	-26.1	13
2016-12-03	@ Gyirmot	W 4-0	35.5	1411	1299	43.03%	28.55%	28.42%	+0.31	+26.1	31
2016-12-03	Szombathelyi Haladas	W 2-1	46.9	1327	1343	41.53%	28.69%	29.78%	+0.23	+7.1	20
2016-12-03	@ Paks	L 1-2	46.9	1343	1327	29.78%	28.69%	41.53%	-0.23	-7.1	25
2016-12-03	Ujpest	D 1-1	53.8	1310	1379	34.15%	28.92%	36.93%	-0.07	+0.1	19
2016-12-03	@ MTK Budapest	D 1-1	53.8	1379	1310	36.93%	28.92%	34.15%	+0.07	-0.1	24
2016-12-10	Debrecen VSC	W 2-0	37.2	1379	1364	45.63%	28.23%	26.14%	+0.40	+12.9	27
2016-12-10	@ Ujpest	L 0-2	37.2	1364	1379	26.14%	28.23%	45.63%	-0.40	-12.9	20
2016-12-10	Videoton	D 1-1	56.5	1336	1486	24.16%	27.84%	48.00%	-0.53	+1.1	26
2016-12-10	@ Szombathelyi Haladas	D 1-1	56.5	1486	1336	48.00%	27.84%	24.16%	+0.53	-1.1	34
2016-12-10	Gyirmot	W 1-0	38.8	1295	1273	46.74%	28.06%	25.20%	+0.45	+6.6	21
2016-12-10	@ Diosgyor	L 0-1	38.8	1273	1295	25.20%	28.06%	46.74%	-0.45	-6.6	13
2016-12-10	Mezokovesd	W 1-0	39.7	1437	1361	53.30%	26.64%	20.05%	+0.75	+5.4	34
2016-12-10	@ Honved	L 0-1	39.7	1361	1437	20.05%	26.64%	53.30%	-0.75	-5.4	27
2016-12-10	MTK Budapest	D 1-1	55.7	1431	1310	58.45%	25.01%	16.55%	+1.00	-2.1	30
2016-12-10	@ Ferencvaros	D 1-1	55.7	1310	1431	16.55%	25.01%	58.45%	-1.00	+2.1	20
2016-12-10	Vasas	W 1-0	44.3	1334	1404	33.98%	28.91%	37.10%	-0.07	+8.9	23
2016-12-10	@ Paks	L 0-1	44.3	1404	1334	37.10%	28.91%	33.98%	+0.07	-8.9	34
2017-02-18	Diosgyor	W 3-0	32.6	1356	1302	50.69%	27.30%	22.02%	+0.62	+16.2	30
2017-02-18	@ Mezokovesd	L 0-3	32.6	1302	1356	22.02%	27.30%	50.69%	-0.62	-16.2	21
2017-02-18	Ferencvaros	D 0-0	50.5	1352	1429	32.88%	28.88%	38.24%	-0.12	+0.3	21
2017-02-18	@ Debrecen VSC	D 0-0	50.5	1429	1352	38.24%	28.88%	32.88%	+0.12	-0.3	31
2017-02-18	Honved	L 1-2	47.0	1313	1442	26.35%	28.26%	45.38%	-0.41	-6.5	20
2017-02-18	@ MTK Budapest	W 2-1	47.0	1442	1313	45.38%	28.26%	26.35%	+0.41	+6.5	37
2017-02-18	Paks	D 0-0	48.2	1266	1343	32.99%	28.89%	38.12%	-0.11	+0.3	14
2017-02-18	@ Gyirmot	D 0-0	48.2	1343	1266	38.12%	28.89%	32.99%	+0.11	-0.3	24
2017-02-18	Ujpest	W 5-1	39.3	1485	1392	55.35%	26.05%	18.61%	+0.85	+15.1	37
2017-02-18	@ Videoton	L 1-5	39.3	1392	1485	18.61%	26.05%	55.35%	-0.85	-15.1	27
2017-02-25	Debrecen VSC	W 1-0	39.0	1449	1352	55.78%	25.91%	18.31%	+0.87	+5.0	40
2017-02-25	@ Honved	L 0-1	39.0	1352	1449	18.31%	25.91%	55.78%	-0.87	-5.0	21
2017-02-25	Videoton	D 0-0	54.6	1429	1500	33.82%	28.91%	37.27%	-0.08	+0.2	32
2017-02-25	@ Ferencvaros	D 0-0	54.6	1500	1429	37.27%	28.91%	33.82%	+0.08	-0.2	38
2017-02-25	Gyirmot	D 1-1	54.7	1395	1266	59.27%	24.70%	16.03%	+1.04	-2.2	35
2017-02-25	@ Vasas	D 1-1	54.7	1266	1395	16.03%	24.70%	59.27%	-1.04	+2.2	15
2017-02-25	Mezokovesd	W 5-0	37.5	1343	1372	39.69%	28.82%	31.49%	+0.15	+34.8	27
2017-02-25	@ Paks	L 0-5	37.5	1372	1343	31.49%	28.82%	39.69%	-0.15	-34.8	30
2017-02-25	MTK Budapest	L 2-3	54.7	1286	1306	40.96%	28.73%	30.31%	+0.20	-8.5	21
2017-02-25	@ Diosgyor	W 3-2	54.7	1306	1286	30.31%	28.73%	40.96%	-0.20	+8.5	23
2017-02-25	Ujpest	L 0-2	40.6	1337	1376	38.30%	28.88%	32.82%	+0.10	-17.1	26
2017-02-25	@ Szombathelyi Haladas	W 2-0	40.6	1376	1337	32.82%	28.88%	38.30%	-0.10	+17.1	30
2017-03-04	Diosgyor	W 3-0	31.8	1347	1277	52.59%	26.83%	20.57%	+0.71	+15.2	24
2017-03-04	@ Debrecen VSC	L 0-3	31.8	1277	1347	20.57%	26.83%	52.59%	-0.71	-15.2	21
2017-03-04	Ferencvaros	L 0-1	46.6	1394	1429	38.83%	28.86%	32.31%	+0.12	-9.2	30
2017-03-04	@ Ujpest	W 1-0	46.6	1429	1394	32.31%	28.86%	38.83%	-0.12	+9.2	35
2017-03-04	Honved	W 3-0	39.8	1500	1454	49.68%	27.51%	22.80%	+0.58	+16.7	41
2017-03-04	@ Videoton	L 0-3	39.8	1454	1500	22.80%	27.51%	49.68%	-0.58	-16.7	40
2017-03-04	Paks	L 1-2	48.8	1315	1377	34.98%	28.93%	36.10%	-0.03	-8.0	23
2017-03-04	@ MTK Budapest	W 2-1	48.8	1377	1315	36.10%	28.93%	34.98%	+0.03	+8.0	30
2017-03-04	Szombathelyi Haladas	L 1-2	48.3	1268	1320	36.57%	28.92%	34.51%	+0.03	-8.3	15
2017-03-04	@ Gyirmot	W 2-1	48.3	1320	1268	34.51%	28.92%	36.57%	-0.03	+8.3	29
2017-03-04	Vasas	L 0-2	40.2	1337	1393	36.04%	28.93%	35.04%	+0.01	-16.4	30
2017-03-04	@ Mezokovesd	W 2-0	40.2	1393	1337	35.04%	28.93%	36.04%	-0.01	+16.4	38
2017-03-11	Diosgyor	W 2-0	30.1	1516	1262	71.50%	18.96%	9.54%	+1.75	+4.6	44
2017-03-11	@ Videoton	L 0-2	30.1	1262	1516	9.54%	18.96%	71.50%	-1.75	-4.6	21
2017-03-11	Gyirmot	D 1-1	53.4	1321	1260	51.52%	27.10%	21.38%	+0.66	-1.5	31
2017-03-11	@ Mezokovesd	D 1-1	53.4	1260	1321	21.38%	27.10%	51.52%	-0.66	+1.5	16
2017-03-11	Honved	D 1-1	56.1	1384	1437	36.39%	28.93%	34.68%	+0.02	-0.1	31
2017-03-11	@ Ujpest	D 1-1	56.1	1437	1384	34.68%	28.93%	36.39%	-0.02	+0.1	41
2017-03-11	Paks	L 1-3	47.6	1362	1385	40.57%	28.76%	30.67%	+0.19	-15.5	24
2017-03-11	@ Debrecen VSC	W 3-1	47.6	1385	1362	30.67%	28.76%	40.57%	-0.19	+15.5	33
2017-03-11	Szombathelyi Haladas	W 3-1	40.0	1438	1328	57.26%	25.43%	17.32%	+0.94	+7.7	38
2017-03-11	@ Ferencvaros	L 1-3	40.0	1328	1438	17.32%	25.43%	57.26%	-0.94	-7.7	29
2017-03-11	Vasas	W 1-0	45.3	1307	1409	29.65%	28.68%	41.67%	-0.26	+9.7	26
2017-03-11	@ MTK Budapest	L 0-1	45.3	1409	1307	41.67%	28.68%	29.65%	+0.26	-9.7	38
2017-03-16	Szombathelyi Haladas	L 2-3	59.1	1399	1320	53.66%	26.54%	19.79%	+0.76	-10.6	38
2017-03-16	@ Vasas	W 3-2	59.1	1320	1399	19.79%	26.54%	53.66%	-0.76	+10.6	32
2017-04-01	Debrecen VSC	L 2-3	58.4	1389	1347	49.20%	27.61%	23.18%	+0.56	-9.9	38
2017-04-01	@ Vasas	W 3-2	58.4	1347	1389	23.18%	27.61%	49.20%	-0.56	+9.9	27
2017-04-01	Videoton	D 0-0	54.5	1401	1521	27.47%	28.43%	44.10%	-0.36	+0.9	34
2017-04-01	@ Paks	D 0-0	54.5	1521	1401	44.10%	28.43%	27.47%	+0.36	-0.9	45
2017-04-01	Ferencvaros	W 2-1	50.9	1437	1446	42.54%	28.60%	28.86%	+0.27	+7.0	44
2017-04-01	@ Honved	L 1-2	50.9	1446	1437	28.86%	28.60%	42.54%	-0.27	-7.0	38
2017-04-01	Mezokovesd	W 4-2	45.8	1331	1319	45.30%	28.28%	26.43%	+0.39	+10.1	35
2017-04-01	@ Szombathelyi Haladas	L 2-4	45.8	1319	1331	26.43%	28.28%	45.30%	-0.39	-10.1	31
2017-04-01	MTK Budapest	W 1-0	42.1	1262	1316	36.11%	28.93%	34.96%	+0.01	+8.5	19
2017-04-01	@ Gyirmot	L 0-1	42.1	1316	1262	34.96%	28.93%	36.11%	-0.01	-8.5	26
2017-04-01	Ujpest	W 3-1	47.5	1257	1384	26.68%	28.32%	45.01%	-0.40	+16.8	24
2017-04-01	@ Diosgyor	L 1-3	47.5	1384	1257	45.01%	28.32%	26.68%	+0.40	-16.8	31
2017-04-08	Diosgyor	D 1-1	55.8	1439	1274	63.08%	23.15%	13.77%	+1.25	-2.5	39
2017-04-08	@ Ferencvaros	D 1-1	55.8	1274	1439	13.77%	23.15%	63.08%	-1.25	+2.5	25
2017-04-08	Gyirmot	W 2-1	42.6	1356	1270	54.56%	26.29%	19.15%	+0.81	+4.9	30
2017-04-08	@ Debrecen VSC	L 1-2	42.6	1270	1356	19.15%	26.29%	54.56%	-0.81	-4.9	19
2017-04-08	Honved	L 0-1	42.9	1341	1444	29.55%	28.67%	41.78%	-0.26	-7.5	35
2017-04-08	@ Szombathelyi Haladas	W 1-0	42.9	1444	1341	41.78%	28.67%	29.55%	+0.26	+7.5	47
2017-04-08	Mezokovesd	W 2-0	36.4	1308	1309	43.53%	28.50%	27.98%	+0.31	+13.6	29
2017-04-08	@ MTK Budapest	L 0-2	36.4	1309	1308	27.98%	28.50%	43.53%	-0.31	-13.6	31
2017-04-08	Paks	D 1-1	55.0	1368	1402	39.05%	28.85%	32.10%	+0.13	-0.3	32
2017-04-08	@ Ujpest	D 1-1	55.0	1402	1368	32.10%	28.85%	39.05%	-0.13	+0.3	35
2017-04-08	Vasas	L 1-2	59.6	1520	1379	60.63%	24.18%	15.19%	+1.12	-12.3	45
2017-04-08	@ Videoton	W 2-1	59.6	1379	1520	15.19%	24.18%	60.63%	-1.12	+12.3	41
2017-04-11	Honved	W 2-0	44.1	1277	1452	21.68%	27.19%	51.13%	-0.67	+21.5	28
2017-04-11	@ Diosgyor	L 0-2	44.1	1452	1277	51.13%	27.19%	21.68%	+0.67	-21.5	47
2017-04-11	Ujpest	L 2-3	58.2	1391	1367	46.89%	28.04%	25.08%	+0.45	-9.5	41
2017-04-11	@ Vasas	W 3-2	58.2	1367	1391	25.08%	28.04%	46.89%	-0.45	+9.5	35
2017-04-12	Debrecen VSC	W 2-1	48.9	1296	1361	34.56%	28.92%	36.52%	-0.05	+8.3	34
2017-04-12	@ Mezokovesd	L 1-2	48.9	1361	1296	36.52%	28.92%	34.56%	+0.05	-8.3	30
2017-04-12	Videoton	L 0-1	37.5	1265	1508	16.26%	24.84%	58.90%	-1.05	-4.4	19
2017-04-12	@ Gyirmot	W 1-0	37.5	1508	1265	58.90%	24.84%	16.26%	+1.05	+4.4	48
2017-04-12	Ferencvaros	W 3-1	47.1	1402	1437	38.97%	28.85%	32.18%	+0.12	+13.1	38
2017-04-12	@ Paks	L 1-3	47.1	1437	1402	32.18%	28.85%	38.97%	-0.12	-13.1	39
2017-04-12	Szombathelyi Haladas	D 0-0	48.7	1321	1334	42.07%	28.64%	29.28%	+0.25	-0.7	30
2017-04-12	@ MTK Budapest	D 0-0	48.7	1334	1321	29.28%	28.64%	42.07%	-0.25	+0.7	36
2017-04-15	Diosgyor	W 2-0	35.0	1334	1298	48.47%	27.76%	23.77%	+0.52	+11.9	39
2017-04-15	@ Szombathelyi Haladas	L 0-2	35.0	1298	1334	23.77%	27.76%	48.47%	-0.52	-11.9	28
2017-04-15	Gyirmot	D 2-2	60.2	1377	1261	57.90%	25.20%	16.89%	+0.97	-1.5	36
2017-04-15	@ Ujpest	D 2-2	60.2	1261	1377	16.89%	25.20%	57.90%	-0.97	+1.5	20
2017-04-15	Mezokovesd	D 1-1	58.3	1512	1304	67.30%	21.16%	11.54%	+1.49	-2.9	49
2017-04-15	@ Videoton	D 1-1	58.3	1304	1512	11.54%	21.16%	67.30%	-1.49	+2.9	35
2017-04-15	MTK Budapest	D 0-0	49.1	1353	1321	47.99%	27.85%	24.17%	+0.50	-1.3	31
2017-04-15	@ Debrecen VSC	D 0-0	49.1	1321	1353	24.17%	27.85%	47.99%	-0.50	+1.3	31
2017-04-15	Paks	W 2-0	39.4	1430	1415	45.76%	28.21%	26.03%	+0.41	+12.8	50
2017-04-15	@ Honved	L 0-2	39.4	1415	1430	26.03%	28.21%	45.76%	-0.41	-12.8	38
2017-04-15	Vasas	L 1-2	54.6	1424	1382	49.19%	27.62%	23.19%	+0.56	-10.4	39
2017-04-15	@ Ferencvaros	W 2-1	54.6	1382	1424	23.19%	27.62%	49.19%	-0.56	+10.4	44
2017-04-22	Diosgyor	L 0-1	48.8	1402	1286	57.91%	25.20%	16.89%	+0.97	-12.6	38
2017-04-22	@ Paks	W 1-0	48.8	1286	1402	16.89%	25.20%	57.91%	-0.97	+12.6	31
2017-04-22	Videoton	D 1-1	57.0	1322	1509	20.56%	26.83%	52.61%	-0.74	+1.6	32
2017-04-22	@ MTK Budapest	D 1-1	57.0	1509	1322	52.61%	26.83%	20.56%	+0.74	-1.6	50
2017-04-22	Ferencvaros	L 2-3	50.1	1262	1413	24.07%	27.82%	48.11%	-0.53	-5.7	20
2017-04-22	@ Gyirmot	W 3-2	50.1	1413	1262	48.11%	27.82%	24.07%	+0.53	+5.7	42
2017-04-22	Honved	W 1-0	45.6	1392	1443	36.64%	28.92%	34.44%	+0.03	+8.4	47
2017-04-22	@ Vasas	L 0-1	45.6	1443	1392	34.44%	28.92%	36.64%	-0.03	-8.4	50
2017-04-22	Szombathelyi Haladas	W 4-2	46.5	1352	1346	44.50%	28.38%	27.12%	+0.35	+10.3	34
2017-04-22	@ Debrecen VSC	L 2-4	46.5	1346	1352	27.12%	28.38%	44.50%	-0.35	-10.3	39
2017-04-22	Ujpest	L 1-3	44.8	1307	1375	34.18%	28.92%	36.90%	-0.07	-13.7	35
2017-04-22	@ Mezokovesd	W 3-1	44.8	1375	1307	36.90%	28.92%	34.18%	+0.07	+13.7	39
2017-04-29	Debrecen VSC	W 3-2	50.0	1508	1362	61.09%	23.99%	14.92%	+1.14	+3.6	53
2017-04-29	@ Videoton	L 2-3	50.0	1362	1508	14.92%	23.99%	61.09%	-1.14	-3.6	34
2017-04-29	Gyirmot	W 1-0	34.6	1435	1257	64.39%	22.56%	13.05%	+1.32	+3.5	53
2017-04-29	@ Honved	L 0-1	34.6	1257	1435	13.05%	22.56%	64.39%	-1.32	-3.5	20
2017-04-29	Mezokovesd	W 3-1	38.6	1419	1293	58.95%	24.82%	16.23%	+1.03	+7.2	45
2017-04-29	@ Ferencvaros	L 1-3	38.6	1293	1419	16.23%	24.82%	58.95%	-1.03	-7.2	35
2017-04-29	MTK Budapest	L 1-2	53.6	1389	1324	52.07%	26.97%	20.97%	+0.69	-10.9	39
2017-04-29	@ Ujpest	W 2-1	53.6	1324	1389	20.97%	26.97%	52.07%	-0.69	+10.9	35
2017-04-29	Paks	W 2-0	39.7	1336	1390	36.26%	28.93%	34.81%	+0.02	+16.0	42
2017-04-29	@ Szombathelyi Haladas	L 0-2	39.7	1390	1336	34.81%	28.93%	36.26%	-0.02	-16.0	38
2017-04-29	Vasas	W 2-1	50.8	1299	1400	29.73%	28.69%	41.58%	-0.25	+9.1	34
2017-04-29	@ Diosgyor	L 1-2	50.8	1400	1299	41.58%	28.69%	29.73%	+0.25	-9.1	47
2017-05-06	Diosgyor	D 1-1	52.7	1253	1308	36.10%	28.93%	34.98%	+0.01	-0.0	21
2017-05-06	@ Gyirmot	D 1-1	52.7	1308	1253	34.98%	28.93%	36.10%	-0.01	+0.0	35
2017-05-06	Ferencvaros	L 1-3	45.0	1334	1426	31.02%	28.79%	40.20%	-0.20	-12.7	35
2017-05-06	@ MTK Budapest	W 3-1	45.0	1426	1334	40.20%	28.79%	31.02%	+0.20	+12.7	48
2017-05-06	Honved	L 1-5	38.0	1286	1438	23.94%	27.79%	48.27%	-0.54	-18.9	35
2017-05-06	@ Mezokovesd	W 5-1	38.0	1438	1286	48.27%	27.79%	23.94%	+0.54	+18.9	56
2017-05-06	Paks	L 0-3	41.6	1391	1374	46.08%	28.16%	25.75%	+0.42	-28.7	47
2017-05-06	@ Vasas	W 3-0	41.6	1374	1391	25.75%	28.16%	46.08%	-0.42	+28.7	41
2017-05-06	Szombathelyi Haladas	W 2-0	34.9	1511	1352	62.52%	23.39%	14.09%	+1.22	+7.2	56
2017-05-06	@ Videoton	L 0-2	34.9	1352	1511	14.09%	23.39%	62.52%	-1.22	-7.2	42
2017-05-06	Ujpest	W 1-0	42.2	1358	1378	41.08%	28.72%	30.19%	+0.21	+7.6	37
2017-05-06	@ Debrecen VSC	L 0-1	42.2	1378	1358	30.19%	28.72%	41.08%	-0.21	-7.6	39
2017-05-13	Debrecen VSC	D 0-0	51.6	1439	1366	52.95%	26.74%	20.32%	+0.73	-1.8	49
2017-05-13	@ Ferencvaros	D 0-0	51.6	1366	1439	20.32%	26.74%	52.95%	-0.73	+1.8	38
2017-05-13	Videoton	L 0-3	38.2	1370	1519	24.34%	27.88%	47.77%	-0.52	-17.6	39
2017-05-13	@ Ujpest	W 3-0	38.2	1519	1370	47.77%	27.88%	24.34%	+0.52	+17.6	59
2017-05-13	Gyirmot	W 3-0	29.4	1402	1253	61.46%	23.84%	14.70%	+1.16	+10.9	44
2017-05-13	@ Paks	L 0-3	29.4	1253	1402	14.70%	23.84%	61.46%	-1.16	-10.9	21
2017-05-13	Mezokovesd	D 2-2	59.0	1308	1267	49.05%	27.64%	23.30%	+0.55	-0.9	36
2017-05-13	@ Diosgyor	D 2-2	59.0	1267	1308	23.30%	27.64%	49.05%	-0.55	+0.9	36
2017-05-13	MTK Budapest	W 2-1	43.0	1457	1322	60.00%	24.42%	15.58%	+1.08	+4.0	59
2017-05-13	@ Honved	L 1-2	43.0	1322	1457	15.58%	24.42%	60.00%	-1.08	-4.0	35
2017-05-13	Vasas	D 2-2	59.9	1345	1363	41.30%	28.71%	29.99%	+0.22	-0.4	43
2017-05-13	@ Szombathelyi Haladas	D 2-2	59.9	1363	1345	29.99%	28.71%	41.30%	-0.22	+0.4	48
2017-05-20	Diosgyor	D 0-0	48.5	1318	1307	45.16%	28.29%	26.54%	+0.38	-1.0	36
2017-05-20	@ MTK Budapest	D 0-0	48.5	1307	1318	26.54%	28.29%	45.16%	-0.38	+1.0	37
2017-05-20	Ferencvaros	W 4-1	43.7	1536	1437	56.03%	25.83%	18.14%	+0.88	+11.4	62
2017-05-20	@ Videoton	L 1-4	43.7	1437	1536	18.14%	25.83%	56.03%	-0.88	-11.4	49
2017-05-20	Honved	L 2-5	46.2	1368	1461	30.82%	28.77%	40.41%	-0.21	-15.5	38
2017-05-20	@ Debrecen VSC	W 5-2	46.2	1461	1368	40.41%	28.77%	30.82%	+0.21	+15.5	62
2017-05-20	Paks	W 3-2	57.2	1268	1413	24.66%	27.95%	47.38%	-0.50	+9.6	39
2017-05-20	@ Mezokovesd	L 2-3	57.2	1413	1268	47.38%	27.95%	24.66%	+0.50	-9.6	44
2017-05-20	Szombathelyi Haladas	W 2-1	46.2	1353	1344	44.86%	28.34%	26.81%	+0.37	+6.6	42
2017-05-20	@ Ujpest	L 1-2	46.2	1344	1353	26.81%	28.34%	44.86%	-0.37	-6.6	43
2017-05-20	Vasas	L 1-2	45.5	1242	1363	27.38%	28.42%	44.20%	-0.36	-6.7	21
2017-05-20	@ Gyirmot	W 2-1	45.5	1363	1242	44.20%	28.42%	27.38%	+0.36	+6.7	51
2017-05-27	Debrecen VSC	L 1-3	45.6	1308	1352	37.59%	28.90%	33.51%	+0.07	-14.6	37
2017-05-27	@ Diosgyor	W 3-1	45.6	1352	1308	33.51%	28.90%	37.59%	-0.07	+14.6	41
2017-05-27	Videoton	W 1-0	52.8	1477	1548	33.80%	28.91%	37.29%	-0.08	+8.9	65
2017-05-27	@ Honved	L 0-1	52.8	1548	1477	37.29%	28.91%	33.80%	+0.08	-8.9	62
2017-05-27	Gyirmot	L 1-2	53.2	1338	1235	56.38%	25.72%	17.90%	+0.90	-11.6	43
2017-05-27	@ Szombathelyi Haladas	W 2-1	53.2	1235	1338	17.90%	25.72%	56.38%	-0.90	+11.6	24
2017-05-27	Mezokovesd	D 1-1	54.2	1370	1278	55.22%	26.09%	18.69%	+0.84	-1.8	52
2017-05-27	@ Vasas	D 1-1	54.2	1278	1370	18.69%	26.09%	55.22%	-0.84	+1.8	40
2017-05-27	MTK Budapest	D 1-1	55.0	1404	1317	54.62%	26.27%	19.11%	+0.81	-1.8	45
2017-05-27	@ Paks	D 1-1	55.0	1317	1404	19.11%	26.27%	54.62%	-0.81	+1.8	37
2017-05-27	Ujpest	W 2-0	36.0	1426	1359	52.18%	26.94%	20.88%	+0.69	+10.6	52
2017-05-27	@ Ferencvaros	L 0-2	36.0	1359	1426	20.88%	26.94%	52.18%	-0.69	-10.6	42

Biggest Upsets

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

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2017-04-08	15.19%	Vasas	1379	2	@ Videoton	1520	1
2	2016-08-13	16.07%	Vasas	1341	2	@ Ferencvaros	1468	1
3	2016-11-05	16.38%	Paks	1330	2	@ Ferencvaros	1454	1
4	2017-04-22	16.89%	Diosgyor	1286	1	@ Paks	1402	0
5	2017-05-27	17.90%	Gyirmot	1235	2	@ Szombathelyi Haladas	1338	1
6	2016-10-15	19.78%	@ Diosgyor	1278	2	Videoton	1474	0
7	2017-03-16	19.79%	Szombathelyi Haladas	1320	3	@ Vasas	1399	2
8	2016-10-15	20.38%	Mezokovesd	1286	1	@ Gyirmot	1358	0
9	2016-07-17	20.74%	Diosgyor	1344	2	@ Videoton	1412	1
10	2017-04-29	20.97%	MTK Budapest	1324	2	@ Ujpest	1389	1
11	2016-07-31	21.33%	Vasas	1340	2	@ Videoton	1401	1
12	2016-08-17	21.34%	Szombathelyi Haladas	1351	1	@ Debrecen VSC	1412	0
13	2017-04-11	21.68%	@ Diosgyor	1277	2	Honved	1452	0
14	2016-07-17	22.96%	Vasas	1314	1	@ MTK Budapest	1359	0
15	2017-04-01	23.18%	Debrecen VSC	1347	3	@ Vasas	1389	2
16	2017-04-15	23.19%	Vasas	1382	2	@ Ferencvaros	1424	1
17	2016-11-19	24.17%	@ Mezokovesd	1331	2	Videoton	1481	1
18	2017-05-20	24.66%	@ Mezokovesd	1268	3	Paks	1413	2
19	2017-04-11	25.08%	Ujpest	1367	3	@ Vasas	1391	2
20	2016-07-16	25.42%	Honved	1347	2	@ Ujpest	1368	0
21	2016-09-24	25.60%	Gyirmot	1348	1	@ Szombathelyi Haladas	1367	0
22	2016-08-07	25.62%	Szombathelyi Haladas	1320	2	@ MTK Budapest	1339	0
23	2016-07-31	25.70%	Mezokovesd	1331	1	@ MTK Budapest	1349	0
24	2017-05-06	25.75%	Paks	1374	3	@ Vasas	1391	0
25	2016-09-10	26.43%	@ MTK Budapest	1333	2	Ferencvaros	1462	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	2016-08-07	35.48	Videoton	4	1390	28.43%	@ Gyirmot	0	1385	43.02%	28.55%
2	2017-02-25	34.76	@ Paks	5	1343	39.69%	Mezokovesd	0	1372	31.49%	28.82%
3	2016-09-17	29.23	@ Honved	5	1365	46.71%	MTK Budapest	0	1342	25.23%	28.07%
4	2016-07-31	28.91	@ Debrecen VSC	4	1376	38.56%	Gyirmot	0	1414	32.57%	28.87%
5	2017-05-06	28.67	Paks	3	1374	25.75%	@ Vasas	0	1391	46.08%	28.16%
6	2016-08-06	26.83	Honved	3	1359	29.02%	@ Diosgyor	0	1349	42.37%	28.62%
7	2016-12-03	26.08	Honved	4	1411	43.03%	@ Gyirmot	0	1299	28.42%	28.55%
8	2016-10-22	24.78	@ Mezokovesd	3	1298	33.02%	Szombathelyi Haladas	0	1375	38.09%	28.89%
9	2016-10-15	22.33	@ Diosgyor	2	1278	19.78%	Videoton	0	1474	53.69%	26.54%
10	2017-04-11	21.46	@ Diosgyor	2	1277	21.68%	Honved	0	1452	51.13%	27.19%
11	2016-09-24	21.32	@ Vasas	4	1359	50.40%	Mezokovesd	0	1308	22.24%	27.36%
12	2016-07-16	19.87	Honved	2	1347	25.42%	@ Ujpest	0	1368	46.47%	28.10%
13	2016-08-07	19.79	Szombathelyi Haladas	2	1320	25.62%	@ MTK Budapest	0	1339	46.24%	28.14%
14	2016-08-21	19.59	@ Videoton	5	1426	47.03%	Debrecen VSC	1	1401	24.96%	28.01%
15	2017-05-06	18.92	Honved	5	1438	48.27%	@ Mezokovesd	1	1286	23.94%	27.79%
16	2016-12-03	18.47	@ Mezokovesd	2	1343	29.06%	Ferencvaros	0	1450	42.32%	28.62%
17	2016-10-15	18.36	@ Szombathelyi Haladas	2	1356	29.35%	Ferencvaros	0	1461	42.00%	28.65%
18	2017-05-13	17.63	Videoton	3	1519	47.77%	@ Ujpest	0	1370	24.34%	27.88%
19	2017-02-25	17.13	Ujpest	2	1376	32.82%	@ Szombathelyi Haladas	0	1337	38.30%	28.88%
20	2016-08-17	16.79	Ujpest	2	1370	33.80%	@ Mezokovesd	0	1324	37.29%	28.91%
21	2017-04-01	16.78	@ Diosgyor	3	1257	26.68%	Ujpest	1	1384	45.01%	28.32%
22	2017-03-04	16.67	@ Videoton	3	1500	49.68%	Honved	0	1454	22.80%	27.51%
23	2017-03-04	16.39	Vasas	2	1393	35.04%	@ Mezokovesd	0	1337	36.04%	28.93%
24	2017-02-18	16.18	@ Mezokovesd	3	1356	50.69%	Diosgyor	0	1302	22.02%	27.30%
25	2016-09-21	16.14	Paks	3	1330	28.58%	@ Mezokovesd	1	1324	42.85%	28.57%

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	2016-09-24	66.9	@ Ferencvaros	3	1462	55.13%	Ujpest	3	1371	18.76%	26.12%
2	2016-10-22	65.4	@ Ujpest	4	1373	52.93%	Diosgyor	4	1300	20.33%	26.74%
3	2016-08-21	62.5	@ Ferencvaros	2	1464	62.22%	Mezokovesd	2	1307	14.26%	23.52%
4	2016-11-19	62.4	@ Vasas	2	1396	37.34%	Ferencvaros	2	1442	33.75%	28.91%
5	2016-11-05	60.9	@ Ujpest	2	1372	40.59%	Vasas	2	1395	30.65%	28.76%
6	2016-07-16	60.5	@ Mezokovesd	2	1330	31.81%	Gyirmot	2	1416	39.35%	28.83%
7	2017-04-15	60.2	@ Ujpest	2	1377	57.90%	Gyirmot	2	1261	16.89%	25.20%
8	2017-05-13	59.9	@ Szombathelyi Haladas	2	1345	41.30%	Vasas	2	1363	29.99%	28.71%
9	2017-04-08	59.6	Vasas	2	1379	15.19%	@ Videoton	1	1520	60.63%	24.18%
10	2016-09-21	59.5	@ Videoton	1	1467	44.54%	Ferencvaros	1	1461	27.08%	28.38%
11	2017-03-16	59.1	Szombathelyi Haladas	3	1320	19.79%	@ Vasas	2	1399	53.66%	26.54%
12	2017-05-13	59.0	@ Diosgyor	2	1308	49.05%	Mezokovesd	2	1267	23.30%	27.64%
13	2016-09-17	58.4	Videoton	4	1460	38.80%	@ Ujpest	3	1379	32.34%	28.86%
14	2017-04-01	58.4	Debrecen VSC	3	1347	23.18%	@ Vasas	2	1389	49.20%	27.61%
15	2017-04-15	58.3	@ Videoton	1	1512	67.30%	Mezokovesd	1	1304	11.54%	21.16%
16	2017-04-11	58.2	Ujpest	3	1367	25.08%	@ Vasas	2	1391	46.89%	28.04%
17	2016-10-29	57.2	@ Vasas	1	1395	33.76%	Videoton	1	1466	37.33%	28.91%
18	2017-05-20	57.2	@ Mezokovesd	3	1268	24.66%	Paks	2	1413	47.38%	27.95%
19	2017-04-22	57.0	@ MTK Budapest	1	1322	20.56%	Videoton	1	1509	52.61%	26.83%
20	2016-08-13	56.9	Vasas	2	1341	16.07%	@ Ferencvaros	1	1468	59.20%	24.73%
21	2016-12-10	56.5	@ Szombathelyi Haladas	1	1336	24.16%	Videoton	1	1486	48.00%	27.84%
22	2016-11-05	56.2	Paks	2	1330	16.38%	@ Ferencvaros	1	1454	58.70%	24.92%
23	2017-03-11	56.1	@ Ujpest	1	1384	36.39%	Honved	1	1437	34.68%	28.93%
24	2017-04-08	55.8	@ Ferencvaros	1	1439	63.08%	Diosgyor	1	1274	13.77%	23.15%
25	2016-12-10	55.7	@ Ferencvaros	1	1431	58.45%	MTK Budapest	1	1310	16.55%	25.01%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2017-05-13	29.4	@ Paks	3	1402	61.46%	Gyirmot	0	1253	14.70%	23.84%
2	2017-03-11	30.1	@ Videoton	2	1516	71.50%	Diosgyor	0	1262	9.54%	18.96%
3	2017-03-04	31.8	@ Debrecen VSC	3	1347	52.59%	Diosgyor	0	1277	20.57%	26.83%
4	2016-11-05	31.9	@ Videoton	4	1466	60.10%	Gyirmot	0	1330	15.52%	24.39%
5	2016-12-03	32.2	@ Vasas	3	1389	53.69%	Diosgyor	0	1310	19.77%	26.54%
6	2017-02-18	32.6	@ Mezokovesd	3	1356	50.69%	Diosgyor	0	1302	22.02%	27.30%
7	2016-09-24	32.8	@ Vasas	4	1359	50.40%	Mezokovesd	0	1308	22.24%	27.36%
8	2016-11-26	33.0	@ Ferencvaros	2	1442	59.98%	Gyirmot	0	1307	15.58%	24.43%
9	2016-11-26	33.2	@ Videoton	2	1471	61.89%	MTK Budapest	0	1318	14.45%	23.66%
10	2016-11-05	33.3	@ Honved	2	1395	56.08%	Diosgyor	0	1295	18.11%	25.82%
11	2016-08-13	34.6	@ Videoton	2	1426	55.28%	Mezokovesd	0	1333	18.65%	26.07%
12	2017-04-29	34.6	@ Honved	1	1435	64.39%	Gyirmot	0	1257	13.05%	22.56%
13	2016-09-10	34.7	@ Videoton	3	1445	52.83%	Szombathelyi Haladas	0	1373	20.40%	26.77%
14	2017-05-06	34.9	@ Videoton	2	1511	62.52%	Szombathelyi Haladas	0	1352	14.09%	23.39%
15	2017-04-15	35.0	@ Szombathelyi Haladas	2	1334	48.47%	Diosgyor	0	1298	23.77%	27.76%
16	2016-09-17	35.2	@ Honved	5	1365	46.71%	MTK Budapest	0	1342	25.23%	28.07%
17	2016-12-03	35.5	Honved	4	1411	43.03%	@ Gyirmot	0	1299	28.42%	28.55%
18	2017-05-27	36.0	@ Ferencvaros	2	1426	52.18%	Ujpest	0	1359	20.88%	26.94%
19	2017-04-08	36.4	@ MTK Budapest	2	1308	43.53%	Mezokovesd	0	1309	27.98%	28.50%
20	2016-10-22	36.7	@ Videoton	5	1452	56.92%	Paks	1	1345	17.54%	25.54%
21	2016-12-10	37.2	@ Ujpest	2	1379	45.63%	Debrecen VSC	0	1364	26.14%	28.23%
22	2017-02-25	37.5	@ Paks	5	1343	39.69%	Mezokovesd	0	1372	31.49%	28.82%
23	2017-04-12	37.5	Videoton	1	1508	58.90%	@ Gyirmot	0	1265	16.26%	24.84%
24	2017-05-06	38.0	Honved	5	1438	48.27%	@ Mezokovesd	1	1286	23.94%	27.79%
25	2016-10-22	38.1	@ Mezokovesd	3	1298	33.02%	Szombathelyi Haladas	0	1375	38.09%	28.89%