Kjelsås vs Asker: result 1-2 and analysis
2. Division - Group 2Regular Season - 20Kick-off on September 14, 2019 at 02:00 PM (UTC)Grefsen Stadion, Oslo
Full time
What was the result of Kjelsås vs Asker?
Asker won 1-2 on September 14, 2019.
Goalscorers
- 76′S. MartinussenKjelsås
- 82′J. SkaugAsker
- 84′139929Asker
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjelsås have 7 wins, 6 draws and 2 defeats; Asker have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Bærum(away) | 4-1 | 2. Division - Group 2 |
| Sep 2, 2019 | Odd II(home) | 1-1 | 2. Division - Group 2 |
| Aug 24, 2019 | Elverum(away) | 2-3 | 2. Division - Group 2 |
| Aug 18, 2019 | Senja(home) | 4-0 | 2. Division - Group 2 |
| Aug 10, 2019 | Floro(away) | 2-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Oppsal(home) | 2-1 | 2. Division - Group 2 |
| Sep 1, 2019 | Fram(home) | 0-2 | 2. Division - Group 2 |
| Aug 25, 2019 | Alta(away) | 2-3 | 2. Division - Group 2 |
| Aug 17, 2019 | Asane(home) | 4-3 | 2. Division - Group 2 |
| Aug 11, 2019 | Bærum(away) | 1-0 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Kjelsås win(s), 0 draw(s), 0 Asker win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2019 | Asker 1-3 Kjelsås | 2. Division - Group 2 |
How many goals should we expect?
Kjelsås score 1.9 and concede 1.1 goals per match over their last 15; Asker score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 1.9 | 1.1 | 2 | 12/15 | 9/15 |
| Asker | 1.5 | 1.6 | 3 | 9/15 | 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