MTK 1 - 0 Diósgyőr

11.08.2018 - 13:30

Stadium: Hidegkuti Nándor Stadion

Finished

Table Corners Cards 1st Half 2nd Half Over Under Goals Clean Sheet BTTS Match Scoring / Conceding First

Over 2.5
Over 0.5
Over 1.5
Over 3.5
Over 4.5
Over 5.5

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	19	58%	65%	50%
2	Videoton	33	19	58%	59%	56%
3	Debrecen	33	16	48%	53%	44%
4	Honvéd W	33	16	48%	65%	31%
5	Mezőkövesd-Zsóry	33	16	48%	50%	47%
6	Újpest	33	10	30%	12%	50%
7	MTK	33	20	61%	56%	65%
8	Szombathelyi Haladás	33	14	42%	44%	41%
9	Diósgyőr	33	17	52%	44%	59%
10	Paksi SE	33	16	48%	56%	41%
11	Puskás	33	15	45%	35%	56%
12	Várda SE	33	16	48%	50%	47%

#	Team	MP	Over 0.5	Overall	Home	Away
1	Ferencváros	33	33	100%	100%	100%
2	Videoton	33	33	100%	100%	100%
3	Debrecen	33	32	97%	94%	100%
4	Honvéd W	33	30	91%	100%	81%
5	Mezőkövesd-Zsóry	33	32	97%	94%	100%
6	Újpest	33	28	85%	82%	88%
7	MTK	33	32	97%	100%	94%
8	Szombathelyi Haladás	33	33	100%	100%	100%
9	Diósgyőr	33	32	97%	94%	100%
10	Paksi SE	33	29	88%	88%	88%
11	Puskás	33	32	97%	100%	94%
12	Várda SE	33	32	97%	94%	100%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	26	79%	88%	69%
2	Videoton	33	26	79%	82%	75%
3	Debrecen	33	25	76%	76%	75%
4	Honvéd W	33	22	67%	76%	56%
5	Mezőkövesd-Zsóry	33	24	73%	69%	76%
6	Újpest	33	20	61%	59%	63%
7	MTK	33	23	70%	63%	76%
8	Szombathelyi Haladás	33	25	76%	75%	76%
9	Diósgyőr	33	23	70%	56%	82%
10	Paksi SE	33	25	76%	75%	76%
11	Puskás	33	24	73%	71%	75%
12	Várda SE	33	23	70%	75%	65%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	12	36%	47%	25%
2	Videoton	33	9	27%	18%	38%
3	Debrecen	33	7	21%	29%	13%
4	Honvéd W	33	9	27%	35%	19%
5	Mezőkövesd-Zsóry	33	9	27%	38%	18%
6	Újpest	33	5	15%	6%	25%
7	MTK	33	13	39%	44%	35%
8	Szombathelyi Haladás	33	7	21%	13%	29%
9	Diósgyőr	33	8	24%	19%	29%
10	Paksi SE	33	6	18%	25%	12%
11	Puskás	33	7	21%	18%	25%
12	Várda SE	33	10	30%	19%	41%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	7	21%	24%	19%
2	Videoton	33	2	6%	6%	6%
3	Debrecen	33	2	6%	12%	0%
4	Honvéd W	33	4	12%	18%	6%
5	Mezőkövesd-Zsóry	33	3	9%	13%	6%
6	Újpest	33	3	9%	6%	13%
7	MTK	33	8	24%	19%	29%
8	Szombathelyi Haladás	33	3	9%	6%	12%
9	Diósgyőr	33	7	21%	13%	29%
10	Paksi SE	33	3	9%	13%	6%
11	Puskás	33	3	9%	6%	13%
12	Várda SE	33	3	9%	13%	6%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	1	3%	6%	0%
2	Videoton	33	1	3%	6%	0%
3	Debrecen	33	1	3%	6%	0%
4	Honvéd W	33	1	3%	6%	0%
5	Mezőkövesd-Zsóry	33	1	3%	6%	0%
6	Újpest	33	0	0%	0%	0%
7	MTK	33	2	6%	0%	12%
8	Szombathelyi Haladás	33	0	0%	0%	0%
9	Diósgyőr	33	3	9%	0%	18%
10	Paksi SE	33	0	0%	0%	0%
11	Puskás	33	0	0%	0%	0%
12	Várda SE	33	0	0%	0%	0%

Under 2.5
Under 0.5
Under 1.5
Under 3.5
Under 4.5
Under 5.5

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	14	42%	35%	50%
2	Videoton	33	14	42%	41%	44%
3	Debrecen	33	17	52%	47%	56%
4	Honvéd W	33	17	52%	35%	69%
5	Mezőkövesd-Zsóry	33	17	52%	50%	53%
6	Újpest	33	23	70%	88%	50%
7	MTK	33	13	39%	44%	35%
8	Szombathelyi Haladás	33	19	58%	56%	59%
9	Diósgyőr	33	16	48%	56%	41%
10	Paksi SE	33	17	52%	44%	59%
11	Puskás	33	18	55%	65%	44%
12	Várda SE	33	17	52%	50%	53%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	0	0%	0%	0%
2	Videoton	33	0	0%	0%	0%
3	Debrecen	33	1	3%	6%	0%
4	Honvéd W	33	3	9%	0%	19%
5	Mezőkövesd-Zsóry	33	1	3%	6%	0%
6	Újpest	33	5	15%	18%	13%
7	MTK	33	1	3%	0%	6%
8	Szombathelyi Haladás	33	0	0%	0%	0%
9	Diósgyőr	33	1	3%	6%	0%
10	Paksi SE	33	4	12%	13%	12%
11	Puskás	33	1	3%	0%	6%
12	Várda SE	33	1	3%	6%	0%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	7	21%	12%	31%
2	Videoton	33	7	21%	18%	25%
3	Debrecen	33	8	24%	24%	25%
4	Honvéd W	33	11	33%	24%	44%
5	Mezőkövesd-Zsóry	33	9	27%	31%	24%
6	Újpest	33	13	39%	41%	38%
7	MTK	33	10	30%	38%	24%
8	Szombathelyi Haladás	33	8	24%	25%	24%
9	Diósgyőr	33	10	30%	44%	18%
10	Paksi SE	33	8	24%	25%	24%
11	Puskás	33	9	27%	29%	25%
12	Várda SE	33	10	30%	25%	35%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	21	64%	53%	75%
2	Videoton	33	24	73%	82%	63%
3	Debrecen	33	26	79%	71%	88%
4	Honvéd W	33	24	73%	65%	81%
5	Mezőkövesd-Zsóry	33	24	73%	63%	82%
6	Újpest	33	28	85%	94%	75%
7	MTK	33	20	61%	56%	65%
8	Szombathelyi Haladás	33	26	79%	88%	71%
9	Diósgyőr	33	25	76%	81%	71%
10	Paksi SE	33	27	82%	75%	88%
11	Puskás	33	26	79%	82%	75%
12	Várda SE	33	23	70%	81%	59%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	26	79%	76%	81%
2	Videoton	33	31	94%	94%	94%
3	Debrecen	33	31	94%	88%	100%
4	Honvéd W	33	29	88%	82%	94%
5	Mezőkövesd-Zsóry	33	30	91%	88%	94%
6	Újpest	33	30	91%	94%	88%
7	MTK	33	25	76%	81%	71%
8	Szombathelyi Haladás	33	30	91%	94%	88%
9	Diósgyőr	33	26	79%	88%	71%
10	Paksi SE	33	30	91%	88%	94%
11	Puskás	33	30	91%	94%	88%
12	Várda SE	33	30	91%	88%	94%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	32	97%	94%	100%
2	Videoton	33	32	97%	94%	100%
3	Debrecen	33	32	97%	94%	100%
4	Honvéd W	33	32	97%	94%	100%
5	Mezőkövesd-Zsóry	33	32	97%	94%	100%
6	Újpest	33	33	100%	100%	100%
7	MTK	33	31	94%	100%	88%
8	Szombathelyi Haladás	33	33	100%	100%	100%
9	Diósgyőr	33	30	91%	100%	82%
10	Paksi SE	33	33	100%	100%	100%
11	Puskás	33	33	100%	100%	100%
12	Várda SE	33	33	100%	100%	100%

You can check out how often MTK and Diósgyőr matches in the NB I go over or under a certain number of goals on this page. This is a handy tool to help predict how many goals they could potentially score when they meet in their upcoming match.

Here is an example of what we mean:

70% of MTK’s matches in the NB I have had more than 1.5 goals scored. And when we raise the line of total goals to 2.5, then the rate of matches that go over that number is 61%.

You can also check how many times the total has gone under. In Diósgyőr’s case, 30% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 48%.

You can also see whether MTK and Diósgyőr matches go over or under a total number of goals when playing at home, away, or overall in NB I.

The over/under goal analysis for MTK vs Diósgyőr offers valuable insights into each club's playing styles as well as a reasonable estimation of goals we could see in the match.

However, predicting the number of goals in a match does not always go the way the math says it will. It’s important to always consider other factors as well in order to get the best chance of making an accurate prediction.

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