11.05.17 11:00
Finished
4
:
0
(2:, 2:0)

Goals

7'
1 : 0
24'
2 : 0
54'
3 : 0
90'
4 : 0

Stats

Match
Top Stats
4
Corner Kicks
6
 
 
0
Yellow Cards
1
 
 
48
Ball Possession (%)
52
 
 
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Denmark. 1st Division", up to 05/11/2017
To build a prediction for the Vendsyssel - Skive match, scheduled for 11 May 2017, several key factors could influence the outcome. Vendsyssel have played 29 matches, in which they won 13 of them, drew 7 times and lost 9 matches. Skive, having played 29 matches, won 15 times, drew 3 matches and lost 11 defeats. In the league, Vendsyssel average 1.5 goals scored per game and 1.2 conceded. Skive average 1.3 scored and 1.4 conceded. These sides last met on 19 November 2016 at Skive's ground, where the home side came out on top.

Pre-Match Facts

Main
Motivation
In 5 out of 7 last matches, Vendsyssel won the second half.
19 out of 20 last matches involving Skive did not end in a draw.
Vendsyssel concedes at home in 8 out of 9 last matches.
In 5 out of 6 last home matches, Vendsyssel concedes in the first half.
In 11 out of 13 last away matches, Skive concedes in the first half.

Head-to-Head

Corners
Yellows
Reds

Summary

*Click on a table cell to see a tooltip
Matches
29
29
Wins
45% (13)
52% (15)
Draws
24% (7)
10% (3)
Defeats
31% (9)
38% (11)
Match Total (Avg.)
2.7
2.8
- Vendsyssel value is better
- Skive value is better

Trends

*Click on a trend to see details
Win Or Draw
6 / 7
—
Win Or Defeat
—
19 / 20
Both Teams To Score (Yes)
11 / 17
—
Both Teams To Score (No)
—
15 / 28

Streaks

*Matches in a row with a given outcome
Win Or Draw
4
—

Team outcomes

Vendsyssel
Skive
H2H
Based on number of matches: 29
1 X 2
Wins
45% (13)
Draws
24% (7)
Defeats
31% (9)
Double Chance
Wins Or Draws
69% (20)
Wins Or Defeats
76% (22)
Draws Or Defeats
55% (16)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Vendsyssel - Skive - score, tip, statistics

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

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