Grorud vs Asker: result 1-2 and analysis
2. Division - Group 2Regular Season - 24Kick-off on October 12, 2019 at 02:00 PM (UTC)Grorud stadion, Oslo
Full time
What was the result of Grorud vs Asker?
Asker won 1-2 on October 12, 2019.
Goalscorers
- 34′A. JonesAsker (pen.)
- 51′Thierry DaboveGrorud
- 90′151264Asker
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grorud have 8 wins, 3 draws and 4 defeats; Asker have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Bærum(away) | 1-1 | 2. Division - Group 2 |
| Sep 28, 2019 | Kjelsås(away) | 0-4 | 2. Division - Group 2 |
| Sep 22, 2019 | Mjølner(home) | 2-1 | 2. Division - Group 2 |
| Sep 14, 2019 | Oppsal(away) | 1-1 | 2. Division - Group 2 |
| Sep 7, 2019 | Sotra(home) | 1-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Elverum(home) | 1-0 | 2. Division - Group 2 |
| Sep 29, 2019 | Mjølner(away) | 4-1 | 2. Division - Group 2 |
| Sep 22, 2019 | Sotra(home) | 2-0 | 2. Division - Group 2 |
| Sep 14, 2019 | Kjelsås(away) | 2-1 | 2. Division - Group 2 |
| Sep 8, 2019 | Oppsal(home) | 2-1 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Grorud win(s), 1 draw(s), 0 Asker win(s).
| Date | Score | Competition |
|---|---|---|
| May 11, 2019 | Asker 0-0 Grorud | 2. Division - Group 2 |
How many goals should we expect?
Grorud score 1.7 and concede 1.3 goals per match over their last 15; Asker score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grorud | 1.7 | 1.3 | 2 | 10/15 | 8/15 |
| Asker | 1.9 | 1.2 | 4 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Grorud | 15 | 8 | 2 | 5 | 24 | 15 | 26 |
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