KFUM Oslo vs Ull/Kisa: result 0-0 and analysis
1. DivisionRegular Season - 11Kick-off on June 5, 2016 at 04:00 PM (UTC)KFUM Arena, Oslo
Full time
What was the result of KFUM Oslo vs Ull/Kisa?
KFUM Oslo and Ull/Kisa drew 0-0 on June 5, 2016.
Official lineup for KFUM Oslo vs Ull/Kisa
The starting elevens fielded at kick-off.
KFUM Oslo
- 11D. Obeng
- 26Emil Ekblom
- 7R. Rasch
- 8Stian Sortevik
- 10C. Dahl
- 14E. Jonvik
- 3Ciisè Aaden Abshir
- 17E. Skaga
- 20J. Norheim
- 27N. Aarø
- 13Lars Hirschfeld
Ull/Kisa
- 5O. Kristian Langås
- 16K. Ødemarksbakken
- 7Jan Tore Amundsen
- 8T. Jørstad
- 10Carl Jesper Andreasson
- 14Nicolay Tveten Solberg
- 27F. Krogstad
- 15T. Braaten
- 20V. Dragsnes
- 24M. Rosenkilde
- 31S. Hagerup
What is the recent form of both teams?
Over their last 10 matches in all competitions, KFUM Oslo have 3 wins, 3 draws and 4 defeats; Ull/Kisa have 1, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | Sandnes ULF(away) | 2-6 | 1. Division |
| May 22, 2016 | Levanger(home) | 5-0 | 1. Division |
| May 16, 2016 | Bryne(away) | 1-0 | 1. Division |
| May 12, 2016 | Strommen(home) | 1-3 | 1. Division |
| May 8, 2016 | Kongsvinger(away) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | jerv(home) | 1-1 | 1. Division |
| May 22, 2016 | hodd(away) | 0-1 | 1. Division |
| May 16, 2016 | Mjondalen(home) | 5-1 | 1. Division |
| May 12, 2016 | Asane(away) | 2-4 | 1. Division |
| May 8, 2016 | Fredrikstad(home) | 1-2 | 1. Division |
How many goals should we expect?
KFUM Oslo score 1.3 and concede 1.6 goals per match over their last 10; Ull/Kisa score 1.4 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM Oslo | 1.3 | 1.6 | 4 | 4/10 | 4/10 |
| Ull/Kisa | 1.4 | 1.8 | 0 | 9/10 | 6/10 |
Over the last 10 matches in all competitions.
A question about KFUM Oslo vs Ull/Kisa?
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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