06.04.19 16:00
Finished
1
:
1
(0:0, 1:1)

Goals

61'
1 : 0
J. Gustafsson
H. Nordström
1 : 1
90'

Stats

Match
Top Stats
1
Yellow Cards
2
 
 
50
Ball Possession (%)
50
 
 
Preview
Summary
Matches
Trends
Lineups
Based on last 50 matches in "Sweden. Division 1 - Södra", up to 04/06/2019
To build a prediction for the Ljungskile - Lindome match, scheduled for 6 April 2019, several key factors could influence the outcome.

Pre-Match Facts

Main
Motivation
Ljungskile does not lose in 14 out of 15 last matches.
Ljungskile does not lose by more than 1 goal in 17 last matches.
Ljungskile wins by more than 1 goal in 5 out of 8 last matches.
Ljungskile scores in 13 out of 14 last matches.
Ljungskile concedes under 2 goals in 13 matches straight.
Ljungskile scores over 2 goals in 5 out of 8 last matches.
In 4 out of 5 last matches, Ljungskile won the first half.
Ljungskile does not lose at home over last 10 matches.
Ljungskile concedes under 2 goals in 15 home matches straight.
In last 5 home matches, Ljungskile scores in the second half.

Summary

*Click on a table cell to see a tooltip
Matches
30
Wins
40% (12)
0% (0)
Draws
33% (10)
0% (0)
Defeats
27% (8)
0% (0)
Match Total (Avg.)
2.7
- Ljungskile value is better
- Lindome value is better

Trends

*Click on a trend to see details
Win Or Draw
14 / 15
Win Or Defeat
4 / 4
Both Teams To Score (Yes)
10 / 14
Both Teams To Score (No)
4 / 7
Win To Nil (Yes)
3 / 7

Streaks

*Matches in a row with a given outcome
Wins
3
Win Or Draw
3
Win Or Defeat
4

Team outcomes

Ljungskile
Lindome
H2H
Based on number of matches: 30
1 X 2
Wins
40% (12)
Draws
33% (10)
Defeats
27% (8)
Double Chance
Wins Or Draws
73% (22)
Wins Or Defeats
67% (20)
Draws Or Defeats
60% (18)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Ljungskile - Lindome - score, tip, statistics

View the match score for Ljungskile - Lindome. 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