jerv vs KFUM Oslo: result 1-1 and analysis
1. DivisionRegular Season - 3Kick-off on April 17, 2016 at 03:00 PM (UTC)J.J. Ugland Stadion, Grimstad
Full time
What was the result of jerv vs KFUM Oslo?
jerv and KFUM Oslo drew 1-1 on April 17, 2016.
Goalscorers
- 17′Tonny Brochmann Christiansenjerv
- 43′R. RaschKFUM Oslo
Official lineup for jerv vs KFUM Oslo
The starting elevens fielded at kick-off.
jerv
- 16J. Edvardsen
- 33D. Antwi
- 7Ulrik Reinaldo Berglann
- 11J. Jenssen
- 17Fuseini Mohammed
- 89Tonny Brochmann Christiansen
- 2Glenn Brevik Andersen
- 3Dejan Corovic
- 4E. Knudsen
- 19K. Tønnessen
- 1Øyvind Knutsen
KFUM Oslo
- 11D. Obeng
- 24Sindre Ek
- 26Emil Ekblom
- 7R. Rasch
- 10C. Dahl
- 14E. Jonvik
- 16S. Pettersen
- 3Ciisè Aaden Abshir
- 17E. Skaga
- 33Jørgen Paulov Hammer
- 13Lars Hirschfeld
What is the recent form of both teams?
Over their last 2 matches in all competitions, jerv have 1 win, 0 draws and 1 defeat; KFUM Oslo have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2016 | Kristiansund BK(away) | 0-2 | 1. Division |
| Apr 3, 2016 | Ranheim(home) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2016 | Asane(home) | 0-2 | 1. Division |
| Apr 3, 2016 | Raufoss(away) | 0-0 | 1. Division |
How many goals should we expect?
jerv score 1.0 and concede 1.5 goals per match over their last 2; KFUM Oslo score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| jerv | 1.0 | 1.5 | 0 | 1/2 | 1/2 |
| KFUM Oslo | 0.0 | 1.0 | 1 | 0/2 | 0/2 |
Over the last 2 matches in all competitions.
A question about jerv vs KFUM Oslo?
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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