07.04.16 16:00
Finished
1
:
2
(1:1, 0:1)

Goals

0 : 1
14'
34'
1 : 1
1 : 2
47'

Stats

Match
Top Stats
7
Corner Kicks
8
 
 
2
Yellow Cards
2
 
 
1
Red Cards
0
 
 
41
Ball Possession (%)
59
 
 
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Ireland. Division 1", up to 04/07/2016
To build a prediction for the Shelbourne - UC Dublin match, scheduled for 7 April 2016, several key factors could influence the outcome. Shelbourne have played 4 matches, in which they won 1 of them, drew 1 time and lost 2 matches. UC Dublin, having played 5 matches, won 2 times, drew 1 match and lost 2 defeats. In the league, Shelbourne average 1 goals scored per game and 1.8 conceded. UC Dublin average 1.4 scored and 1.8 conceded.

Pre-Match Facts

Motivation
Tournament progress - the season has recently started

Shelbourne - 3.5/10

Last match - 6 days ago, a defeat
Limerick
Draw
Shelbourne
Next match - in 3 days
Athlone
Draw
Shelbourne

UC Dublin - 5/10

Last match - 7 days ago, a draw
UC Dublin
Draw
Athlone
Next match - in 7 days
UC Dublin
Draw
Drogheda

Summary

*Click on a table cell to see a tooltip
Matches
4
5
Wins
25% (1)
40% (2)
Draws
25% (1)
20% (1)
Defeats
50% (2)
40% (2)
Match Total (Avg.)
2.8
3.2
- Shelbourne value is better
- UC Dublin value is better

Trends

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

Streaks

No streaks h2h found. Try changing the filters

Team outcomes

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

Shelbourne - UC Dublin - score, tip, statistics

View the match score for Shelbourne - UC Dublin. 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