KFUM Oslo vs Ham-Kam: result 2-0 and analysis
1. DivisionRegular Season - 12Kick-off on June 23, 2019 at 04:00 PM (UTC)KFUM Arena, Oslo
Full time
What was the result of KFUM Oslo vs Ham-Kam?
KFUM Oslo won 2-0 on June 23, 2019.
Goalscorers
- 20′M. MawaKFUM Oslo
- 25′O. ØbyKFUM Oslo
Official lineup for KFUM Oslo vs Ham-Kam
The starting elevens fielded at kick-off.
KFUM Oslo
- 11M. Mawa
- 16F. Kastrati
- 26A. L. Elvebu
- 7R. Rasch
- 8Stian Sortevik
- 18O. Øby
- 3D. Gaye
- 15M. Gueye
- 28E. Troudart
- 31K. Brix
- 12K. Skjærstein
Ham-Kam
- 18J. Mendy
- 6Lars-Gunnar Johnsen
- 8M. Solbakken
- 10E. Sildnes
- 17S. Nordli
- 22K. Onsrud
- 5O. Færø
- 13Rubén Alegre Guerra
- 14S. Pedersen
- 24H. Norbye
- 12Ł. Jarosiński
What is the recent form of both teams?
Over their last 15 matches in all competitions, KFUM Oslo have 9 wins, 2 draws and 4 defeats; Ham-Kam have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2019 | Nest-Sotra(away) | 4-0 | NM Cupen |
| Jun 16, 2019 | Skeid(away) | 1-1 | 1. Division |
| Jun 2, 2019 | Notodden(home) | 4-1 | 1. Division |
| May 25, 2019 | Tromsdalen Uil(away) | 3-2 | 1. Division |
| May 22, 2019 | Asker(away) | 3-2 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2019 | Aalesund(home) | 1-2 | 1. Division |
| Jun 2, 2019 | jerv(home) | 2-2 | 1. Division |
| May 25, 2019 | Ull/Kisa(away) | 0-0 | 1. Division |
| May 22, 2019 | Grorud(away) | 0-0 | NM Cupen |
| May 16, 2019 | Kongsvinger(home) | 2-0 | 1. Division |
How many goals should we expect?
KFUM Oslo score 2.0 and concede 1.3 goals per match over their last 15; Ham-Kam score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM Oslo | 2.0 | 1.3 | 5 | 8/15 | 10/15 |
| Ham-Kam | 1.2 | 0.9 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about KFUM Oslo vs Ham-Kam?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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