22.08.18 11:30
Finished
4
:
1
(2:1, 2:0)

Goals

8'
1 : 0
28'
2 : 0
2 : 1
39'
77'
3 : 1
90'
4 : 1

Stats

Match
Top Stats
7
Corner Kicks
0
 
 
1
Yellow Cards
1
 
 
51
Ball Possession (%)
49
 
 
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Denmark. 1st Division", up to 08/22/2018
To build a prediction for the Lyngby - Nykobing match, scheduled for 22 August 2018, several key factors could influence the outcome. Lyngby have played 4 matches, in which they won 1 of them, drew 2 times and lost 1 match. Nykobing, having played 50 matches, won 15 times, drew 16 matches and lost 19 defeats. In the league, Lyngby average 1 goals scored per game and 1.8 conceded. Nykobing average 1.6 scored and 1.7 conceded.

Pre-Match Facts

Motivation
Tournament progress - the season has recently started

Lyngby - 3/10

Last match - 3 days ago, a defeat
Thisted FC
Draw
Lyngby
Next match - in 4 days
Helsingor
Draw
Lyngby

Nykobing - 3/10

Last match - 3 days ago, a defeat
Koge
Draw
Nykobing
Next match - in 4 days
Nykobing
Draw
F. Amager

Summary

*Click on a table cell to see a tooltip
Matches
4
50
Wins
25% (1)
30% (15)
Draws
50% (2)
32% (16)
Defeats
25% (1)
38% (19)
Match Total (Avg.)
2.8
3.2
- Lyngby value is better
- Nykobing value is better

Trends

*Click on a trend to see details
Win Or Draw
3 / 4
5 / 6
Draw Or Defeat
3 / 4
3 / 4
Both Teams To Score (Yes)
32 / 49
Both Teams To Score (No)
5 / 5
Win To Nil (Yes)
2 / 5

Streaks

*Matches in a row with a given outcome
Both Teams To Score (No)
1
5

Team outcomes

Lyngby
Nykobing
H2H
Based on number of matches: 4
1 X 2
Wins
25% (1)
Draws
50% (2)
Defeats
25% (1)
Double Chance
Wins Or Draws
75% (3)
Wins Or Defeats
50% (2)
Draws Or Defeats
75% (3)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Lyngby - Nykobing - score, tip, statistics

View the match score for Lyngby - Nykobing. We've compiled statistics that will help you conduct mathematical analysis and make a prediction.

Other useful information:
  1. Instant match results
  2. Referee statistics and cards
  3. Mathematical analysis tools for matches
  4. Individual statistics of teams and players
  5. Football statistics