20.06.20 06:00
Finished
0
:
2
(0:2, 0:0)

Goals

Clausen M.
0 : 1
15'
Clausen M.
0 : 2
30'
Preview
Summary
Matches
Trends
To build a prediction for the Lyn W - Rosenborg W match, scheduled for 20 June 2020, several key factors could influence the outcome. Lyn W have played 46 matches, in which they won 11 of them, drew 12 times and lost 23 matches. Rosenborg W, having played 44 matches, won 16 times, drew 10 matches and lost 18 defeats. In the league, Lyn W average 1.3 goals scored per game and 1.8 conceded. Rosenborg W average 1.5 scored and 1.5 conceded. These sides last met on 13 September 2019 at Rosenborg W's ground, where the match ended in a draw.

Pre-Match Facts

Main
Motivation
In 6 last matches where Lyn W played at home, both teams scored.
Lyn W does not lose at home by more than 1 goal in 21 out of 23 last matches.
Lyn W concedes at home in 8 out of 9 last matches.
In 6 out of 7 last matches of Lyn W at home, over over 2 goals were scored.
In 7 out of last 9 away matches, Rosenborg W scores in the second half.

Summary

*Click on a table cell to see a tooltip
Matches
46
44
Wins
24% (11)
36% (16)
Draws
26% (12)
23% (10)
Defeats
50% (23)
41% (18)
Match Total (Avg.)
3.2
3
- Lyn W value is better
- Rosenborg W value is better

Trends

*Click on a trend to see details
Win Or Draw
4 / 4
5 / 6
Win Or Defeat
17 / 19
Both Teams To Score (Yes)
10 / 14
Both Teams To Score (No)
15 / 28
13 / 19

Streaks

*Matches in a row with a given outcome
Win Or Draw
4
2
Win Or Defeat
2
3

Team outcomes

Lyn W
Rosenborg W
H2H
Based on number of matches: 46
1 X 2
Wins
24% (11)
Draws
26% (12)
Defeats
50% (23)
Double Chance
Wins Or Draws
50% (23)
Wins Or Defeats
74% (34)
Draws Or Defeats
76% (35)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Lyn W - Rosenborg W - score, tip, statistics

View the match score for Lyn W - Rosenborg W. 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