KFUM Oslo vs Sogndal: result 1-1 and analysis
NM Cupen3rd RoundKick-off on June 30, 2022 at 04:00 PM (UTC)KFUM Arena, Oslo
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What was the result of KFUM Oslo vs Sogndal?
KFUM Oslo and Sogndal drew 1-1 on June 30, 2022.
Goalscorers
- 64′S. ØrjasæterSogndal
- 72′R. SvindlandKFUM Oslo
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; Sogndal have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2022 | Ranheim(away) | 1-4 | 1. Division |
| Jun 23, 2022 | Ullern(away) | 2-0 | NM Cupen |
| Jun 20, 2022 | Sandnes ULF(away) | 2-2 | 1. Division |
| Jun 12, 2022 | ODD Ballklubb(away) | 0-0 | Friendlies Clubs |
| May 30, 2022 | Skeid(home) | 3-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2022 | Mjondalen(home) | 1-0 | 1. Division |
| Jun 23, 2022 | Bjarg(away) | 4-1 | NM Cupen |
| Jun 20, 2022 | Skeid(away) | 3-2 | 1. Division |
| May 29, 2022 | Sandnes ULF(home) | 1-2 | 1. Division |
| May 26, 2022 | Stjørdals-Blink(away) | 3-1 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 4 KFUM Oslo win(s), 0 draw(s), 2 Sogndal win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2021 | KFUM Oslo 1-0 Sogndal | 1. Division |
| Nov 6, 2021 | KFUM Oslo 3-1 Sogndal | 1. Division |
| Aug 18, 2021 | Sogndal 3-2 KFUM Oslo | 1. Division |
| Nov 7, 2020 | Sogndal 3-0 KFUM Oslo | 1. Division |
| Jul 27, 2020 | KFUM Oslo 4-1 Sogndal | 1. Division |
| Nov 9, 2019 | KFUM Oslo 1-0 Sogndal | 1. Division |
How many goals should we expect?
KFUM Oslo score 1.9 and concede 1.3 goals per match over their last 15; Sogndal score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM Oslo | 1.9 | 1.3 | 6 | 9/15 | 11/15 |
| Sogndal | 1.9 | 1.4 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
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