01.05.17 16:00
Finished
3
:
2
(2:, 1:2)

Goals

25'
1 : 0
35'
2 : 0
2 : 1
62'
2 : 2
68'
90'
3 : 2

Stats

Match
Top Stats
5
Corner Kicks
7
 
 
2
Yellow Cards
2
 
 
1
Red Cards
0
 
 
40
Ball Possession (%)
60
 
 
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Norway. OBOS-ligaen", up to 05/01/2017
To build a prediction for the Bodo/Glimt - Start match, scheduled for 1 May 2017, several key factors could influence the outcome. Bodo/Glimt have played 4 matches, in which they won 3 of them and drew 1 time. Start, having played 4 matches, won 3 times and drew 1 match. In the league, Bodo/Glimt average 2.5 goals scored per game and 0.8 conceded. Start average 2.5 scored and 0.8 conceded. These sides last met on 27 August 2016 at Bodo/Glimt's ground, where the home side came out on top.

Pre-Match Facts

Motivation
Tournament progress - the season has recently started

Bodo/Glimt - 4.5/10

Last match - 9 days ago, a win
Fredrikstad
Draw
Bodo/Glimt
Next match - in 5 days
Tromsdalen
Draw
Bodo/Glimt

Start - 4.5/10

Last match - 9 days ago, a win
Tromsdalen
Draw
Start
Next match - in 5 days
Start
Draw
Ull/Kisa

Summary

*Click on a table cell to see a tooltip
Matches
4
4
Wins
75% (3)
75% (3)
Draws
25% (1)
25% (1)
Match Total (Avg.)
3.3
3.3
Goals Scored
10
10
- Bodo/Glimt value is better
- Start value is better

Trends

*Click on a trend to see details
Wins
3 / 4
Win Or Draw
4 / 4
4 / 4
Win Or Defeat
3 / 4

Streaks

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

Team outcomes

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

Bodo/Glimt - Start - score, tip, statistics

View the match score for Bodo/Glimt - Start. 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