Start vs Viking: result 0-1 and analysis
EliteserienRegular Season - 3Kick-off on April 2, 2016 at 01:30 PM (UTC)Sparebanken Sør Arena, Kristiansand
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What was the result of Start vs Viking?
Viking won 0-1 on April 2, 2016.
Goalscorers
- 27′S. AbdullahiViking
Official lineup for Start vs Viking
The starting elevens fielded at kick-off.
Start
- 11Uduak Cyril Idemokon
- 8Espen Hoff
- 14E. Børufsen
- 32M. Rasmussen
- 2J. Skogmo
- 3Tapio Heikkilä
- 6K. Ajer
- 15H. Robstad
- 17G. Kristjánsson
- 28R. Vikstøl
- 1H. Opdal
Viking
- 7S. Adegbenro
- 8S. Abdullahi
- 9P. Pedersen
- 10B. Sverrisson
- 11Z. Bytyqi
- 14A. Danielsen
- 16A. Ibrahim
- 5A. Soares
- 6K. Mets
- 28K. Haugen
- 1I. Austbø
What is the recent form of both teams?
Over their last 2 matches in all competitions, Start have 0 wins, 2 draws and 0 defeats; Viking have 1, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2016 | Tromso(away) | 0-0 | Eliteserien |
| Mar 13, 2016 | Lillestrom(home) | 1-1 | Eliteserien |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2016 | Sarpsborg 08 FF(home) | 0-0 | Eliteserien |
| Mar 14, 2016 | Valerenga(away) | 2-0 | Eliteserien |
How many goals should we expect?
Start score 0.5 and concede 0.5 goals per match over their last 2; Viking score 1.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Start | 0.5 | 0.5 | 1 | 1/2 | 0/2 |
| Viking | 1.0 | 0.0 | 2 | 0/2 | 0/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
Start sit 16th in Eliteserien (16 points from 22 matches) and Viking sit 1st (53 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Viking | 22 | 17 | 2 | 3 | 56 | 20 | 53 |
| 16 | Start | 22 | 4 | 4 | 14 | 24 | 48 | 16 |
A question about Start vs Viking?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy