Kjelsås vs Fram: prediction and stats
2. Division - Group 2Group 2 - 12Kick-off on July 24, 2021 at 02:00 PM (UTC)Grefsen Stadion, Oslo
Match postponed — new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjelsås have 4 wins, 4 draws and 7 defeats; Fram have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2021 | Sotra(away) | 1-3 | 2. Division - Group 2 |
| Jul 17, 2021 | Egersund(home) | 1-0 | 2. Division - Group 2 |
| Jul 11, 2021 | Nardo(away) | 0-0 | 2. Division - Group 2 |
| Jul 8, 2021 | Notodden(home) | 3-2 | 2. Division - Group 2 |
| Jul 3, 2021 | Fram(away) | 1-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2021 | Notodden(away) | 1-4 | 2. Division - Group 2 |
| Jul 17, 2021 | Skeid(away) | 0-2 | 2. Division - Group 2 |
| Jul 11, 2021 | Rosenborg II(home) | 3-0 | 2. Division - Group 2 |
| Jul 8, 2021 | Arendal(away) | 1-2 | 2. Division - Group 2 |
| Jul 3, 2021 | Kjelsås(home) | 2-1 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 3 meetings: 0 Kjelsås win(s), 2 draw(s), 1 Fram win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2021 | Fram 2-1 Kjelsås | 2. Division - Group 2 |
| Oct 19, 2019 | Fram 1-1 Kjelsås | 2. Division - Group 2 |
| Jun 9, 2019 | Kjelsås 1-1 Fram | 2. Division - Group 2 |
How many goals should we expect?
Kjelsås score 1.5 and concede 2.0 goals per match over their last 15; Fram score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 1.5 | 2.0 | 2 | 11/15 | 12/15 |
| Fram | 1.5 | 2.1 | 2 | 10/15 | 11/15 |
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 | Kjelsås | 16 | 12 | 1 | 3 | 36 | 21 | 37 |
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