KFUM Oslo vs Sogndal: result 1-0 and analysis
1. DivisionRegular Season - 30Kick-off on November 9, 2019 at 02:30 PM (UTC)KFUM Arena, Oslo
Full time
What was the result of KFUM Oslo vs Sogndal?
KFUM Oslo won 1-0 on November 9, 2019.
Goalscorers
- 41′?KFUM Oslo
What is the recent form of both teams?
Over their last 15 matches in all competitions, KFUM Oslo have 4 wins, 7 draws and 4 defeats; Sogndal have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Strommen(away) | 3-0 | 1. Division |
| Oct 27, 2019 | Kongsvinger(home) | 0-1 | 1. Division |
| Oct 20, 2019 | Start(away) | 0-0 | 1. Division |
| Oct 6, 2019 | Tromsdalen Uil(home) | 1-1 | 1. Division |
| Sep 29, 2019 | Raufoss(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Ham-Kam(home) | 3-0 | 1. Division |
| Oct 27, 2019 | Raufoss(away) | 1-1 | 1. Division |
| Oct 20, 2019 | jerv(home) | 4-0 | 1. Division |
| Oct 6, 2019 | Sandnes ULF(away) | 1-0 | 1. Division |
| Sep 29, 2019 | Nest-Sotra(home) | 0-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 KFUM Oslo wins, 0 draws, 1 Sogndal win.
| Date | Score | Competition |
|---|---|---|
| May 11, 2019 | Sogndal 4-2 KFUM Oslo | 1. Division |
How many goals should we expect?
KFUM Oslo score 1.9 and concede 1.6 goals per match over their last 15; Sogndal score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM Oslo | 1.9 | 1.6 | 3 | 10/15 | 10/15 |
| Sogndal | 1.6 | 0.9 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Sogndal | 29 | 8 | 6 | 15 | 48 | 63 | 30 |
A question about KFUM Oslo vs Sogndal?
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