Alta vs Kjelsås: result 2-1 and analysis
2. Division - Group 2Regular Season - 21Kick-off on September 22, 2019 at 01:15 PM (UTC)SmartDok Arena, Alta
Full time
What was the result of Alta vs Kjelsås?
Alta won 2-1 on September 22, 2019.
Goalscorers
- 7′K. SpenceAlta
- 56′A. van der SpaAlta
- 60′W. IdrissiKjelsås
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alta have 6 wins, 3 draws and 6 defeats; Kjelsås have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Mjølner(away) | 0-0 | 2. Division - Group 2 |
| Sep 8, 2019 | Asane(home) | 2-2 | 2. Division - Group 2 |
| Sep 1, 2019 | Sotra(away) | 3-2 | 2. Division - Group 2 |
| Aug 25, 2019 | Asker(home) | 3-2 | 2. Division - Group 2 |
| Aug 18, 2019 | Fram(away) | 0-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 24, 2019 | Elverum(away) | 2-3 | 2. Division - Group 2 |
| Aug 18, 2019 | Senja(home) | 4-0 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Alta win(s), 0 draw(s), 1 Kjelsås win(s).
| Date | Score | Competition |
|---|---|---|
| May 5, 2019 | Kjelsås 2-0 Alta | 2. Division - Group 2 |
How many goals should we expect?
Alta score 1.7 and concede 2.0 goals per match over their last 15; Kjelsås score 1.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alta | 1.7 | 2.0 | 3 | 10/15 | 12/15 |
| Kjelsås | 1.8 | 1.2 | 2 | 12/15 | 9/15 |
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