KFUM Oslo vs Grorud: result 2-0 and analysis
1. DivisionRegular Season - 20Kick-off on September 25, 2021 at 01:00 PM (UTC)KFUM Arena, Oslo
Full time
What was the result of KFUM Oslo vs Grorud?
KFUM Oslo won 2-0 on September 25, 2021.
Goalscorers
- 58′Stian SortevikKFUM Oslo
- 74′J. TaajeKFUM Oslo
What is the recent form of both teams?
Over their last 15 matches in all competitions, KFUM Oslo have 8 wins, 3 draws and 4 defeats; Grorud have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2021 | Kristiansund BK(home) | 3-1 | NM Cupen |
| Sep 18, 2021 | Raufoss(away) | 1-5 | 1. Division |
| Sep 15, 2021 | Fredrikstad(home) | 2-1 | 1. Division |
| Sep 11, 2021 | Start(away) | 3-2 | 1. Division |
| Aug 29, 2021 | Ull/Kisa(away) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2021 | Lillestrom(home) | 2-3 | NM Cupen |
| Sep 18, 2021 | Sogndal(home) | 1-2 | 1. Division |
| Sep 15, 2021 | Aalesund(away) | 2-6 | 1. Division |
| Sep 11, 2021 | Stjørdals-Blink(home) | 1-2 | 1. Division |
| Aug 28, 2021 | Sandnes ULF(away) | 3-2 | 1. Division |
What does the head-to-head say?
Across the last 4 meetings: 1 KFUM Oslo win(s), 1 draw(s), 2 Grorud win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 12, 2021 | Grorud 2-2 KFUM Oslo | 1. Division |
| Oct 11, 2020 | KFUM Oslo 3-1 Grorud | 1. Division |
| Aug 24, 2020 | Grorud 3-0 KFUM Oslo | 1. Division |
| Jun 26, 2020 | KFUM Oslo 0-4 Grorud | Friendlies Clubs |
How many goals should we expect?
KFUM Oslo score 2.1 and concede 1.7 goals per match over their last 15; Grorud score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM Oslo | 2.1 | 1.7 | 1 | 13/15 | 10/15 |
| Grorud | 1.5 | 2.1 | 2 | 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