Diósgyőr 0 - 0 Újpest

29.04.2021 - 11:30

Stadium: Diósgyőri 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	18	55%	44%	65%
2	Videoton	33	23	70%	69%	71%
3	Honvéd W	33	20	61%	71%	50%
4	Mezőkövesd-Zsóry	33	19	58%	63%	53%
5	Újpest	33	24	73%	69%	76%
6	MTK	33	20	61%	56%	65%
7	Diósgyőr	33	19	58%	65%	50%
8	Paksi SE	33	26	79%	76%	81%
9	Puskás	33	20	61%	59%	63%
10	Zalaegerszegi TE	33	23	70%	71%	69%
11	Budafoki MTE	33	23	70%	76%	63%
12	Várda SE	33	13	39%	31%	47%

#	Team	MP	Over 0.5	Overall	Home	Away
1	Ferencváros	33	32	97%	100%	94%
2	Videoton	33	31	94%	94%	94%
3	Honvéd W	33	30	91%	100%	81%
4	Mezőkövesd-Zsóry	33	30	91%	100%	82%
5	Újpest	33	32	97%	100%	94%
6	MTK	33	30	91%	88%	94%
7	Diósgyőr	33	30	91%	82%	100%
8	Paksi SE	33	32	97%	94%	100%
9	Puskás	33	32	97%	94%	100%
10	Zalaegerszegi TE	33	32	97%	94%	100%
11	Budafoki MTE	33	31	94%	100%	88%
12	Várda SE	33	26	79%	69%	88%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	28	85%	81%	88%
2	Videoton	33	29	88%	94%	82%
3	Honvéd W	33	23	70%	82%	56%
4	Mezőkövesd-Zsóry	33	23	70%	75%	65%
5	Újpest	33	30	91%	88%	94%
6	MTK	33	26	79%	69%	88%
7	Diósgyőr	33	24	73%	82%	63%
8	Paksi SE	33	31	94%	88%	100%
9	Puskás	33	25	76%	76%	75%
10	Zalaegerszegi TE	33	31	94%	88%	100%
11	Budafoki MTE	33	28	85%	88%	81%
12	Várda SE	33	20	61%	50%	71%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	9	27%	13%	41%
2	Videoton	33	15	45%	38%	53%
3	Honvéd W	33	12	36%	53%	19%
4	Mezőkövesd-Zsóry	33	8	24%	31%	18%
5	Újpest	33	14	42%	44%	41%
6	MTK	33	14	42%	38%	47%
7	Diósgyőr	33	9	27%	35%	19%
8	Paksi SE	33	21	64%	53%	75%
9	Puskás	33	7	21%	24%	19%
10	Zalaegerszegi TE	33	14	42%	41%	44%
11	Budafoki MTE	33	12	36%	35%	38%
12	Várda SE	33	3	9%	13%	6%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	2	6%	13%	0%
2	Videoton	33	6	18%	13%	24%
3	Honvéd W	33	6	18%	24%	13%
4	Mezőkövesd-Zsóry	33	3	9%	19%	0%
5	Újpest	33	7	21%	25%	18%
6	MTK	33	2	6%	0%	12%
7	Diósgyőr	33	3	9%	12%	6%
8	Paksi SE	33	12	36%	18%	56%
9	Puskás	33	6	18%	24%	13%
10	Zalaegerszegi TE	33	7	21%	24%	19%
11	Budafoki MTE	33	8	24%	18%	31%
12	Várda SE	33	2	6%	6%	6%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	1	3%	6%	0%
2	Videoton	33	2	6%	6%	6%
3	Honvéd W	33	3	9%	6%	13%
4	Mezőkövesd-Zsóry	33	2	6%	13%	0%
5	Újpest	33	3	9%	13%	6%
6	MTK	33	1	3%	0%	6%
7	Diósgyőr	33	2	6%	6%	6%
8	Paksi SE	33	7	21%	12%	31%
9	Puskás	33	2	6%	0%	13%
10	Zalaegerszegi TE	33	4	12%	18%	6%
11	Budafoki MTE	33	1	3%	6%	0%
12	Várda SE	33	2	6%	6%	6%

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	15	45%	56%	35%
2	Videoton	33	10	30%	31%	29%
3	Honvéd W	33	13	39%	29%	50%
4	Mezőkövesd-Zsóry	33	14	42%	38%	47%
5	Újpest	33	9	27%	31%	24%
6	MTK	33	13	39%	44%	35%
7	Diósgyőr	33	14	42%	35%	50%
8	Paksi SE	33	7	21%	24%	19%
9	Puskás	33	13	39%	41%	38%
10	Zalaegerszegi TE	33	10	30%	29%	31%
11	Budafoki MTE	33	10	30%	24%	38%
12	Várda SE	33	20	61%	69%	53%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	1	3%	0%	6%
2	Videoton	33	2	6%	6%	6%
3	Honvéd W	33	3	9%	0%	19%
4	Mezőkövesd-Zsóry	33	3	9%	0%	18%
5	Újpest	33	1	3%	0%	6%
6	MTK	33	3	9%	13%	6%
7	Diósgyőr	33	3	9%	18%	0%
8	Paksi SE	33	1	3%	6%	0%
9	Puskás	33	1	3%	6%	0%
10	Zalaegerszegi TE	33	1	3%	6%	0%
11	Budafoki MTE	33	2	6%	0%	13%
12	Várda SE	33	7	21%	31%	12%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	5	15%	19%	12%
2	Videoton	33	4	12%	6%	18%
3	Honvéd W	33	10	30%	18%	44%
4	Mezőkövesd-Zsóry	33	10	30%	25%	35%
5	Újpest	33	3	9%	13%	6%
6	MTK	33	7	21%	31%	12%
7	Diósgyőr	33	9	27%	18%	38%
8	Paksi SE	33	2	6%	12%	0%
9	Puskás	33	8	24%	24%	25%
10	Zalaegerszegi TE	33	2	6%	12%	0%
11	Budafoki MTE	33	5	15%	12%	19%
12	Várda SE	33	13	39%	50%	29%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	24	73%	88%	59%
2	Videoton	33	18	55%	63%	47%
3	Honvéd W	33	21	64%	47%	81%
4	Mezőkövesd-Zsóry	33	25	76%	69%	82%
5	Újpest	33	19	58%	56%	59%
6	MTK	33	19	58%	63%	53%
7	Diósgyőr	33	24	73%	65%	81%
8	Paksi SE	33	12	36%	47%	25%
9	Puskás	33	26	79%	76%	81%
10	Zalaegerszegi TE	33	19	58%	59%	56%
11	Budafoki MTE	33	21	64%	65%	63%
12	Várda SE	33	30	91%	88%	94%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	31	94%	88%	100%
2	Videoton	33	27	82%	88%	76%
3	Honvéd W	33	27	82%	76%	88%
4	Mezőkövesd-Zsóry	33	30	91%	81%	100%
5	Újpest	33	26	79%	75%	82%
6	MTK	33	31	94%	100%	88%
7	Diósgyőr	33	30	91%	88%	94%
8	Paksi SE	33	21	64%	82%	44%
9	Puskás	33	27	82%	76%	88%
10	Zalaegerszegi TE	33	26	79%	76%	81%
11	Budafoki MTE	33	25	76%	82%	69%
12	Várda SE	33	31	94%	94%	94%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	32	97%	94%	100%
2	Videoton	33	31	94%	94%	94%
3	Honvéd W	33	30	91%	94%	88%
4	Mezőkövesd-Zsóry	33	31	94%	88%	100%
5	Újpest	33	30	91%	88%	94%
6	MTK	33	32	97%	100%	94%
7	Diósgyőr	33	31	94%	94%	94%
8	Paksi SE	33	26	79%	88%	69%
9	Puskás	33	31	94%	100%	88%
10	Zalaegerszegi TE	33	29	88%	82%	94%
11	Budafoki MTE	33	32	97%	94%	100%
12	Várda SE	33	31	94%	94%	94%

You can check out how often Diósgyőr and Újpest 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:

73% of Diósgyőr’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 58%.

You can also check how many times the total has gone under. In Újpest’s case, 9% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 27%.

You can also see whether Diósgyőr and Újpest 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 Diósgyőr vs Újpest 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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