Kjelsås vs Skeid: prediction and stats
2. Division - Group 2Group 2 - 24Kick-off on October 16, 2021 at 01:00 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, 5 draws and 6 defeats; Skeid have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Øygarden(away) | 2-3 | 2. Division - Group 2 |
| Oct 3, 2021 | Sotra(home) | 3-1 | 2. Division - Group 2 |
| Sep 30, 2021 | Nardo(home) | 0-1 | 2. Division - Group 2 |
| Sep 26, 2021 | Egersund(away) | 1-3 | 2. Division - Group 2 |
| Sep 20, 2021 | Rosenborg II(home) | 6-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Egersund(away) | 2-2 | 2. Division - Group 2 |
| Oct 4, 2021 | Odd II(home) | 2-0 | 2. Division - Group 2 |
| Sep 29, 2021 | Notodden(away) | 3-2 | 2. Division - Group 2 |
| Sep 25, 2021 | Arendal(away) | 2-2 | 2. Division - Group 2 |
| Sep 18, 2021 | Sotra(home) | 3-0 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 3 meetings: 0 Kjelsås win(s), 1 draw(s), 2 Skeid win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2021 | Skeid 4-0 Kjelsås | 2. Division - Group 2 |
| Oct 3, 2020 | Kjelsås 2-3 Skeid | 2. Division - Group 1 |
| May 22, 2019 | Kjelsås 0-0 Skeid | NM Cupen |
How many goals should we expect?
Kjelsås score 1.7 and concede 1.5 goals per match over their last 15; Skeid score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 1.7 | 1.5 | 2 | 10/15 | 9/15 |
| Skeid | 1.9 | 0.9 | 7 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kjelsås sit 2nd in 2. Division - Group 2 (37 points from 16 matches) and Skeid sit 11th (13 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kjelsås | 16 | 12 | 1 | 3 | 36 | 21 | 37 |
| 11 | Skeid | 16 | 4 | 1 | 11 | 22 | 34 | 13 |
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