KFUM Oslo vs Start: result 0-1 and analysis
1. DivisionRegular Season - 14Kick-off on July 11, 2022 at 04:00 PM (UTC)KFUM Arena, Oslo
Full time
What was the result of KFUM Oslo vs Start?
Start won 0-1 on July 11, 2022.
Goalscorers
- 36′M. GrundetjernStart
What is the recent form of both teams?
Over their last 15 matches in all competitions, KFUM Oslo have 8 wins, 4 draws and 3 defeats; Start 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 |
|---|---|---|---|
| Jul 7, 2022 | Asane(away) | 3-0 | 1. Division |
| Jul 3, 2022 | Sogndal(home) | 3-2 | 1. Division |
| Jun 30, 2022 | Sogndal(home) | 1-1 | NM Cupen |
| Jun 27, 2022 | Ranheim(away) | 1-4 | 1. Division |
| Jun 23, 2022 | Ullern(away) | 2-0 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2022 | Brann(home) | 0-2 | 1. Division |
| Jul 4, 2022 | Stjørdals-Blink(away) | 3-0 | 1. Division |
| Jun 29, 2022 | Moss(away) | 3-0 | NM Cupen |
| Jun 26, 2022 | Kongsvinger(home) | 0-1 | 1. Division |
| Jun 22, 2022 | Arendal(away) | 3-2 | NM Cupen |
What does the head-to-head say?
Across the last 4 meetings: 1 KFUM Oslo win(s), 1 draw(s), 2 Start win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2021 | Start 2-3 KFUM Oslo | 1. Division |
| Jul 12, 2021 | KFUM Oslo 0-2 Start | 1. Division |
| Oct 20, 2019 | Start 0-0 KFUM Oslo | 1. Division |
| Apr 7, 2019 | KFUM Oslo 1-2 Start | 1. Division |
How many goals should we expect?
KFUM Oslo score 1.8 and concede 1.3 goals per match over their last 15; Start score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM Oslo | 1.8 | 1.3 | 6 | 9/15 | 10/15 |
| Start | 2.1 | 1.1 | 5 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Start | 30 | 16 | 7 | 7 | 58 | 35 | 55 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy