Oppsal vs Grorud: result 1-1 and analysis
2. Division - Group 2Regular Season - 20Kick-off on September 14, 2019 at 02:00 PM (UTC)Trasop kunstgress, Oslo
Full time
What was the result of Oppsal vs Grorud?
Oppsal and Grorud drew 1-1 on September 14, 2019.
Goalscorers
- 49′Thierry DaboveGrorud
- 78′S. BirkelandOppsal (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oppsal have 3 wins, 3 draws and 9 defeats; Grorud have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Asker(away) | 1-2 | 2. Division - Group 2 |
| Aug 31, 2019 | Bærum(home) | 2-2 | 2. Division - Group 2 |
| Aug 25, 2019 | Senja(away) | 1-3 | 2. Division - Group 2 |
| Aug 18, 2019 | Odd II(home) | 1-0 | 2. Division - Group 2 |
| Aug 10, 2019 | Alta(away) | 0-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Sotra(home) | 1-1 | 2. Division - Group 2 |
| Aug 31, 2019 | Asane(home) | 4-3 | 2. Division - Group 2 |
| Aug 26, 2019 | Odd II(away) | 2-1 | 2. Division - Group 2 |
| Aug 17, 2019 | Floro(home) | 5-1 | 2. Division - Group 2 |
| Aug 11, 2019 | Senja(away) | 2-0 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Oppsal win(s), 0 draw(s), 1 Grorud win(s).
| Date | Score | Competition |
|---|---|---|
| May 19, 2019 | Grorud 3-0 Oppsal | 2. Division - Group 2 |
How many goals should we expect?
Oppsal score 1.3 and concede 2.7 goals per match over their last 15; Grorud score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oppsal | 1.3 | 2.7 | 2 | 9/15 | 11/15 |
| Grorud | 1.9 | 1.1 | 3 | 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