Kjelsås vs Sotra: result 2-1 and analysis
2. Division - Group 2Regular Season - 26Kick-off on October 26, 2019 at 11:00 AM (UTC)Grefsen Stadion, Oslo
Full time
What was the result of Kjelsås vs Sotra?
Kjelsås won 2-1 on October 26, 2019.
Goalscorers
- 5′Y. PaintsilKjelsås
- 20′W. IdrissiKjelsås
- 25′K. HagaSotra
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjelsås have 7 wins, 4 draws and 4 defeats; Sotra have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Fram(away) | 1-1 | 2. Division - Group 2 |
| Oct 12, 2019 | Oppsal(home) | 3-0 | 2. Division - Group 2 |
| Oct 5, 2019 | Asane(away) | 0-3 | 2. Division - Group 2 |
| Sep 28, 2019 | Grorud(home) | 4-0 | 2. Division - Group 2 |
| Sep 22, 2019 | Alta(away) | 1-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Odd II(home) | 1-2 | 2. Division - Group 2 |
| Oct 13, 2019 | Mjølner(away) | 2-3 | 2. Division - Group 2 |
| Oct 6, 2019 | Senja(home) | 0-1 | 2. Division - Group 2 |
| Sep 28, 2019 | Oppsal(home) | 0-1 | 2. Division - Group 2 |
| Sep 22, 2019 | Asker(away) | 0-2 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Kjelsås win(s), 0 draw(s), 1 Sotra win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 15, 2019 | Sotra 2-0 Kjelsås | 2. Division - Group 2 |
How many goals should we expect?
Kjelsås score 2.1 and concede 1.3 goals per match over their last 15; Sotra score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 2.1 | 1.3 | 3 | 11/15 | 12/15 |
| Sotra | 1.2 | 1.7 | 1 | 10/15 | 7/15 |
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