Asane vs Kjelsås: result 3-0 and analysis
2. Division - Group 2Regular Season - 23Kick-off on October 5, 2019 at 02:00 PM (UTC)Åsane Arena, Bergen
Full time
What was the result of Asane vs Kjelsås?
Asane won 3-0 on October 5, 2019.
Goalscorers
- 15′Simen Helland LassenAsane
- 47′M. UelandAsane
- 78′D. FredriksenAsane
What is the recent form of both teams?
Over their last 15 matches in all competitions, Asane have 8 wins, 4 draws and 3 defeats; Kjelsås have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Bærum(home) | 6-1 | 2. Division - Group 2 |
| Sep 22, 2019 | Senja(away) | 2-0 | 2. Division - Group 2 |
| Sep 16, 2019 | Odd II(home) | 2-0 | 2. Division - Group 2 |
| Sep 8, 2019 | Alta(away) | 2-2 | 2. Division - Group 2 |
| Aug 31, 2019 | Grorud(away) | 3-4 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Grorud(home) | 4-0 | 2. Division - Group 2 |
| Sep 22, 2019 | Alta(away) | 1-2 | 2. Division - Group 2 |
| Sep 14, 2019 | Asker(home) | 1-2 | 2. Division - Group 2 |
| Sep 7, 2019 | Bærum(away) | 4-1 | 2. Division - Group 2 |
| Sep 2, 2019 | Odd II(home) | 1-1 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Asane win(s), 0 draw(s), 1 Kjelsås win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 22, 2019 | Kjelsås 2-1 Asane | 2. Division - Group 2 |
How many goals should we expect?
Asane score 2.7 and concede 1.5 goals per match over their last 15; Kjelsås score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asane | 2.7 | 1.5 | 4 | 10/15 | 10/15 |
| Kjelsås | 1.9 | 1.3 | 2 | 12/15 | 10/15 |
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