Várda SE 1 - 2 Mezőkövesd-Zsóry

09.04.2022 - 08:45

Stadium: Várkert Sportpálya

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	20	61%	71%	50%
2	Videoton	33	18	55%	69%	41%
3	Debrecen	33	19	58%	56%	59%
4	Honvéd W	33	19	58%	63%	53%
5	Mezőkövesd-Zsóry	33	17	52%	50%	53%
6	Újpest	33	23	70%	59%	81%
7	MTK	33	15	45%	35%	56%
8	Gyirmót	33	14	42%	24%	63%
9	Paksi SE	33	28	85%	88%	81%
10	Puskás	33	15	45%	50%	41%
11	Zalaegerszegi TE	33	20	61%	53%	69%
12	Várda SE	33	18	55%	69%	41%

#	Team	MP	Over 0.5	Overall	Home	Away
1	Ferencváros	33	31	94%	94%	94%
2	Videoton	33	32	97%	94%	100%
3	Debrecen	33	30	91%	88%	94%
4	Honvéd W	33	30	91%	88%	94%
5	Mezőkövesd-Zsóry	33	29	88%	81%	94%
6	Újpest	33	31	94%	94%	94%
7	MTK	33	29	88%	82%	94%
8	Gyirmót	33	31	94%	94%	94%
9	Paksi SE	33	33	100%	100%	100%
10	Puskás	33	28	85%	94%	76%
11	Zalaegerszegi TE	33	29	88%	88%	88%
12	Várda SE	33	27	82%	94%	71%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	25	76%	82%	69%
2	Videoton	33	28	85%	81%	88%
3	Debrecen	33	25	76%	81%	71%
4	Honvéd W	33	25	76%	75%	76%
5	Mezőkövesd-Zsóry	33	22	67%	63%	71%
6	Újpest	33	28	85%	82%	88%
7	MTK	33	24	73%	59%	88%
8	Gyirmót	33	23	70%	71%	69%
9	Paksi SE	33	31	94%	88%	100%
10	Puskás	33	23	70%	75%	65%
11	Zalaegerszegi TE	33	27	82%	82%	81%
12	Várda SE	33	23	70%	81%	59%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	8	24%	24%	25%
2	Videoton	33	7	21%	25%	18%
3	Debrecen	33	10	30%	31%	29%
4	Honvéd W	33	13	39%	38%	41%
5	Mezőkövesd-Zsóry	33	12	36%	25%	47%
6	Újpest	33	12	36%	41%	31%
7	MTK	33	6	18%	12%	25%
8	Gyirmót	33	8	24%	12%	38%
9	Paksi SE	33	22	67%	76%	56%
10	Puskás	33	7	21%	25%	18%
11	Zalaegerszegi TE	33	14	42%	41%	44%
12	Várda SE	33	7	21%	31%	12%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	3	9%	18%	0%
2	Videoton	33	3	9%	13%	6%
3	Debrecen	33	7	21%	19%	24%
4	Honvéd W	33	7	21%	19%	24%
5	Mezőkövesd-Zsóry	33	6	18%	13%	24%
6	Újpest	33	2	6%	6%	6%
7	MTK	33	4	12%	6%	19%
8	Gyirmót	33	5	15%	12%	19%
9	Paksi SE	33	15	45%	47%	44%
10	Puskás	33	2	6%	6%	6%
11	Zalaegerszegi TE	33	7	21%	18%	25%
12	Várda SE	33	5	15%	25%	6%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Ferencváros	33	2	6%	12%	0%
2	Videoton	33	1	3%	6%	0%
3	Debrecen	33	4	12%	6%	18%
4	Honvéd W	33	3	9%	6%	12%
5	Mezőkövesd-Zsóry	33	0	0%	0%	0%
6	Újpest	33	1	3%	6%	0%
7	MTK	33	0	0%	0%	0%
8	Gyirmót	33	2	6%	12%	0%
9	Paksi SE	33	6	18%	6%	31%
10	Puskás	33	1	3%	6%	0%
11	Zalaegerszegi TE	33	2	6%	6%	6%
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	13	39%	29%	50%
2	Videoton	33	15	45%	31%	59%
3	Debrecen	33	14	42%	44%	41%
4	Honvéd W	33	14	42%	38%	47%
5	Mezőkövesd-Zsóry	33	16	48%	50%	47%
6	Újpest	33	10	30%	41%	19%
7	MTK	33	18	55%	65%	44%
8	Gyirmót	33	19	58%	76%	38%
9	Paksi SE	33	5	15%	12%	19%
10	Puskás	33	18	55%	50%	59%
11	Zalaegerszegi TE	33	13	39%	47%	31%
12	Várda SE	33	15	45%	31%	59%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	2	6%	6%	6%
2	Videoton	33	1	3%	6%	0%
3	Debrecen	33	3	9%	13%	6%
4	Honvéd W	33	3	9%	13%	6%
5	Mezőkövesd-Zsóry	33	4	12%	19%	6%
6	Újpest	33	2	6%	6%	6%
7	MTK	33	4	12%	18%	6%
8	Gyirmót	33	2	6%	6%	6%
9	Paksi SE	33	0	0%	0%	0%
10	Puskás	33	5	15%	6%	24%
11	Zalaegerszegi TE	33	4	12%	12%	13%
12	Várda SE	33	6	18%	6%	29%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	8	24%	18%	31%
2	Videoton	33	5	15%	19%	12%
3	Debrecen	33	8	24%	19%	29%
4	Honvéd W	33	8	24%	25%	24%
5	Mezőkövesd-Zsóry	33	11	33%	38%	29%
6	Újpest	33	5	15%	18%	13%
7	MTK	33	9	27%	41%	13%
8	Gyirmót	33	10	30%	29%	31%
9	Paksi SE	33	2	6%	12%	0%
10	Puskás	33	10	30%	25%	35%
11	Zalaegerszegi TE	33	6	18%	18%	19%
12	Várda SE	33	10	30%	19%	41%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	25	76%	76%	75%
2	Videoton	33	26	79%	75%	82%
3	Debrecen	33	23	70%	69%	71%
4	Honvéd W	33	20	61%	63%	59%
5	Mezőkövesd-Zsóry	33	21	64%	75%	53%
6	Újpest	33	21	64%	59%	69%
7	MTK	33	27	82%	88%	75%
8	Gyirmót	33	25	76%	88%	63%
9	Paksi SE	33	11	33%	24%	44%
10	Puskás	33	26	79%	75%	82%
11	Zalaegerszegi TE	33	19	58%	59%	56%
12	Várda SE	33	26	79%	69%	88%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	30	91%	82%	100%
2	Videoton	33	30	91%	88%	94%
3	Debrecen	33	26	79%	81%	76%
4	Honvéd W	33	26	79%	81%	76%
5	Mezőkövesd-Zsóry	33	27	82%	88%	76%
6	Újpest	33	31	94%	94%	94%
7	MTK	33	29	88%	94%	81%
8	Gyirmót	33	28	85%	88%	81%
9	Paksi SE	33	18	55%	53%	56%
10	Puskás	33	31	94%	94%	94%
11	Zalaegerszegi TE	33	26	79%	82%	75%
12	Várda SE	33	28	85%	75%	94%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Ferencváros	33	31	94%	88%	100%
2	Videoton	33	32	97%	94%	100%
3	Debrecen	33	29	88%	94%	82%
4	Honvéd W	33	30	91%	94%	88%
5	Mezőkövesd-Zsóry	33	33	100%	100%	100%
6	Újpest	33	32	97%	94%	100%
7	MTK	33	33	100%	100%	100%
8	Gyirmót	33	31	94%	88%	100%
9	Paksi SE	33	27	82%	94%	69%
10	Puskás	33	32	97%	94%	100%
11	Zalaegerszegi TE	33	31	94%	94%	94%
12	Várda SE	33	31	94%	94%	94%

You can check out how often Várda SE and Mezőkövesd-Zsóry 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 Várda SE’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 55%.

You can also check how many times the total has gone under. In Mezőkövesd-Zsóry’s case, 33% 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 Várda SE and Mezőkövesd-Zsóry 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 Várda SE vs Mezőkövesd-Zsóry 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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