Kjelsås vs Odd II: prediction and stats
2. Division - Group 2Group 2 - 6Kick-off on May 25, 2021 at 05:00 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 3 wins, 6 draws and 6 defeats; Odd II have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Skeid(home) | 2-3 | 2. Division - Group 1 |
| Sep 26, 2020 | Floro(away) | 2-2 | 2. Division - Group 1 |
| Sep 19, 2020 | Kvik Halden(home) | 2-2 | 2. Division - Group 1 |
| Sep 14, 2020 | Vålerenga II(away) | 1-2 | 2. Division - Group 1 |
| Sep 6, 2020 | Tromsdalen Uil(home) | 1-1 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Egersund(away) | 0-8 | 2. Division - Group 2 |
| Sep 28, 2020 | Vard(home) | 2-1 | 2. Division - Group 2 |
| Sep 21, 2020 | Fram(away) | 2-2 | 2. Division - Group 2 |
| Sep 14, 2020 | Bryne(home) | 1-3 | 2. Division - Group 2 |
| Sep 6, 2020 | Rosenborg II(away) | 0-2 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Kjelsås win(s), 1 draw(s), 0 Odd II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2019 | Kjelsås 1-1 Odd II | 2. Division - Group 2 |
| Jul 27, 2019 | Odd II 1-2 Kjelsås | 2. Division - Group 2 |
How many goals should we expect?
Kjelsås score 1.5 and concede 1.6 goals per match over their last 15; Odd II score 0.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 1.5 | 1.6 | 2 | 12/15 | 10/15 |
| Odd II | 0.7 | 2.3 | 1 | 6/15 | 8/15 |
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