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Lyngby 1 - 1 Hvidovre

29.07.2018 - 11:45

Stadium : Lyngby 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	FC Helsingør	33	15	45%	53%	38%
2	Silkeborg	33	20	61%	76%	44%
3	Lyngby	33	20	61%	53%	69%
4	Viborg	33	19	58%	47%	69%
5	Fremad Amager	33	16	48%	38%	59%
6	Fredericia	33	23	70%	65%	75%
7	Thisted Women	33	19	58%	69%	47%
8	HB Køge	33	18	55%	59%	50%
9	Nykøbing	33	17	52%	50%	53%
10	Roskilde Women	33	27	82%	81%	82%
11	Næstved	33	14	42%	31%	53%
12	Hvidovre	33	14	42%	50%	35%

#	Team	MP	Over 0.5	Overall	Home	Away
1	FC Helsingør	33	30	91%	94%	88%
2	Silkeborg	33	30	91%	88%	94%
3	Lyngby	33	32	97%	94%	100%
4	Viborg	33	32	97%	94%	100%
5	Fremad Amager	33	29	88%	94%	82%
6	Fredericia	33	31	94%	94%	94%
7	Thisted Women	33	30	91%	94%	88%
8	HB Køge	33	31	94%	94%	94%
9	Nykøbing	33	30	91%	88%	94%
10	Roskilde Women	33	32	97%	100%	94%
11	Næstved	33	30	91%	81%	100%
12	Hvidovre	33	31	94%	100%	88%

#	Team	MP	Over 1.5	Overall	Home	Away
1	FC Helsingør	33	26	79%	82%	75%
2	Silkeborg	33	27	82%	88%	75%
3	Lyngby	33	27	82%	82%	81%
4	Viborg	33	26	79%	88%	69%
5	Fremad Amager	33	22	67%	63%	71%
6	Fredericia	33	26	79%	76%	81%
7	Thisted Women	33	25	76%	75%	76%
8	HB Køge	33	24	73%	71%	75%
9	Nykøbing	33	26	79%	81%	76%
10	Roskilde Women	33	31	94%	94%	94%
11	Næstved	33	24	73%	56%	88%
12	Hvidovre	33	26	79%	81%	76%

#	Team	MP	Over 1.5	Overall	Home	Away
1	FC Helsingør	33	5	15%	12%	19%
2	Silkeborg	33	13	39%	53%	25%
3	Lyngby	33	12	36%	47%	25%
4	Viborg	33	15	45%	35%	56%
5	Fremad Amager	33	12	36%	38%	35%
6	Fredericia	33	9	27%	18%	38%
7	Thisted Women	33	13	39%	56%	24%
8	HB Køge	33	14	42%	41%	44%
9	Nykøbing	33	10	30%	31%	29%
10	Roskilde Women	33	19	58%	44%	71%
11	Næstved	33	9	27%	19%	35%
12	Hvidovre	33	9	27%	31%	24%

#	Team	MP	Over 1.5	Overall	Home	Away
1	FC Helsingør	33	1	3%	0%	6%
2	Silkeborg	33	7	21%	24%	19%
3	Lyngby	33	5	15%	18%	13%
4	Viborg	33	5	15%	6%	25%
5	Fremad Amager	33	3	9%	13%	6%
6	Fredericia	33	4	12%	6%	19%
7	Thisted Women	33	7	21%	31%	12%
8	HB Køge	33	6	18%	18%	19%
9	Nykøbing	33	5	15%	25%	6%
10	Roskilde Women	33	9	27%	19%	35%
11	Næstved	33	4	12%	13%	12%
12	Hvidovre	33	4	12%	13%	12%

#	Team	MP	Over 1.5	Overall	Home	Away
1	FC Helsingør	33	1	3%	0%	6%
2	Silkeborg	33	3	9%	6%	13%
3	Lyngby	33	1	3%	0%	6%
4	Viborg	33	1	3%	0%	6%
5	Fremad Amager	33	3	9%	13%	6%
6	Fredericia	33	2	6%	6%	6%
7	Thisted Women	33	2	6%	6%	6%
8	HB Køge	33	4	12%	18%	6%
9	Nykøbing	33	3	9%	19%	0%
10	Roskilde Women	33	2	6%	0%	12%
11	Næstved	33	1	3%	0%	6%
12	Hvidovre	33	3	9%	13%	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	FC Helsingør	33	18	55%	47%	63%
2	Silkeborg	33	13	39%	24%	56%
3	Lyngby	33	13	39%	47%	31%
4	Viborg	33	14	42%	53%	31%
5	Fremad Amager	33	17	52%	63%	41%
6	Fredericia	33	10	30%	35%	25%
7	Thisted Women	33	14	42%	31%	53%
8	HB Køge	33	15	45%	41%	50%
9	Nykøbing	33	16	48%	50%	47%
10	Roskilde Women	33	6	18%	19%	18%
11	Næstved	33	19	58%	69%	47%
12	Hvidovre	33	19	58%	50%	65%

#	Team	MP	Over 2.5	Overall	Home	Away
1	FC Helsingør	33	3	9%	6%	13%
2	Silkeborg	33	3	9%	12%	6%
3	Lyngby	33	1	3%	6%	0%
4	Viborg	33	1	3%	6%	0%
5	Fremad Amager	33	4	12%	6%	18%
6	Fredericia	33	2	6%	6%	6%
7	Thisted Women	33	3	9%	6%	12%
8	HB Køge	33	2	6%	6%	6%
9	Nykøbing	33	3	9%	13%	6%
10	Roskilde Women	33	1	3%	0%	6%
11	Næstved	33	3	9%	19%	0%
12	Hvidovre	33	2	6%	0%	12%

#	Team	MP	Over 2.5	Overall	Home	Away
1	FC Helsingør	33	7	21%	18%	25%
2	Silkeborg	33	6	18%	12%	25%
3	Lyngby	33	6	18%	18%	19%
4	Viborg	33	7	21%	12%	31%
5	Fremad Amager	33	11	33%	38%	29%
6	Fredericia	33	7	21%	24%	19%
7	Thisted Women	33	8	24%	25%	24%
8	HB Køge	33	9	27%	29%	25%
9	Nykøbing	33	7	21%	19%	24%
10	Roskilde Women	33	2	6%	6%	6%
11	Næstved	33	9	27%	44%	12%
12	Hvidovre	33	7	21%	19%	24%

#	Team	MP	Over 2.5	Overall	Home	Away
1	FC Helsingør	33	28	85%	88%	81%
2	Silkeborg	33	20	61%	47%	75%
3	Lyngby	33	21	64%	53%	75%
4	Viborg	33	18	55%	65%	44%
5	Fremad Amager	33	21	64%	63%	65%
6	Fredericia	33	24	73%	82%	63%
7	Thisted Women	33	20	61%	44%	76%
8	HB Køge	33	19	58%	59%	56%
9	Nykøbing	33	23	70%	69%	71%
10	Roskilde Women	33	14	42%	56%	29%
11	Næstved	33	24	73%	81%	65%
12	Hvidovre	33	24	73%	69%	76%

#	Team	MP	Over 2.5	Overall	Home	Away
1	FC Helsingør	33	32	97%	100%	94%
2	Silkeborg	33	26	79%	76%	81%
3	Lyngby	33	28	85%	82%	88%
4	Viborg	33	28	85%	94%	75%
5	Fremad Amager	33	30	91%	88%	94%
6	Fredericia	33	29	88%	94%	81%
7	Thisted Women	33	26	79%	69%	88%
8	HB Køge	33	27	82%	82%	81%
9	Nykøbing	33	28	85%	75%	94%
10	Roskilde Women	33	24	73%	81%	65%
11	Næstved	33	29	88%	88%	88%
12	Hvidovre	33	29	88%	88%	88%

#	Team	MP	Over 2.5	Overall	Home	Away
1	FC Helsingør	33	32	97%	100%	94%
2	Silkeborg	33	30	91%	94%	88%
3	Lyngby	33	32	97%	100%	94%
4	Viborg	33	32	97%	100%	94%
5	Fremad Amager	33	30	91%	88%	94%
6	Fredericia	33	31	94%	94%	94%
7	Thisted Women	33	31	94%	94%	94%
8	HB Køge	33	29	88%	82%	94%
9	Nykøbing	33	30	91%	81%	100%
10	Roskilde Women	33	31	94%	100%	88%
11	Næstved	33	32	97%	100%	94%
12	Hvidovre	33	30	91%	88%	94%

You can check out how often Lyngby and Hvidovre matches in the 1st Division 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:

82% of Lyngby’s matches in the 1st Division 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 Hvidovre’s case, 21% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 58%.

You can also see whether Lyngby and Hvidovre matches go over or under a total number of goals when playing at home, away, or overall in 1st Division.

The over/under goal analysis for Lyngby vs Hvidovre 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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