Grorud vs Kjelsås: result 1-1 and analysis
2. Division - Group 2Regular Season - 8Kick-off on June 2, 2019 at 04:00 PM (UTC)Grorud stadion, Oslo
Full time
What was the result of Grorud vs Kjelsås?
Grorud and Kjelsås drew 1-1 on June 2, 2019.
Goalscorers
- 48′Thomas ElsebutangenGrorud
- 73′Akinbola Olajide AkinyemiKjelsås
What is the recent form of both teams?
Over their last 9 matches in all competitions, Grorud have 5 wins, 3 draws and 1 defeats; Kjelsås have 6, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2019 | Asane(away) | 3-2 | 2. Division - Group 2 |
| May 22, 2019 | Ham-Kam(home) | 0-0 | NM Cupen |
| May 19, 2019 | Oppsal(home) | 3-0 | 2. Division - Group 2 |
| May 11, 2019 | Asker(away) | 0-0 | 2. Division - Group 2 |
| May 5, 2019 | Bærum(home) | 2-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2019 | Floro(home) | 3-1 | 2. Division - Group 2 |
| May 22, 2019 | Skeid(home) | 0-0 | NM Cupen |
| May 19, 2019 | Mjølner(away) | 3-1 | 2. Division - Group 2 |
| May 11, 2019 | Bærum(home) | 1-1 | 2. Division - Group 2 |
| May 5, 2019 | Alta(home) | 2-0 | 2. Division - Group 2 |
How many goals should we expect?
Grorud score 1.8 and concede 0.9 goals per match over their last 9; Kjelsås score 1.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grorud | 1.8 | 0.9 | 4 | 4/9 | 4/9 |
| Kjelsås | 1.9 | 0.8 | 2 | 7/9 | 5/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Grorud sit 5th in 2. Division - Group 2 (26 points from 15 matches) and Kjelsås sit 2nd (37 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kjelsås | 16 | 12 | 1 | 3 | 36 | 21 | 37 |
| 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