Odd II vs Mjølner: result 5-2 and analysis
2. Division - Group 2Regular Season - 15Kick-off on August 12, 2019 at 11:00 AM (UTC)Skagerak Arena, Skien
Full time
What was the result of Odd II vs Mjølner?
Odd II won 5-2 on August 12, 2019.
Goalscorers
- 5′K. Egell-JohnsenOdd II
- 21′M. AbelsenMjølner
- 26′J. KitolanoOdd II
- 37′F. DelaverisOdd II
- 77′F. DelaverisOdd II
- 82′A. SødlundOdd II
- 90′A. SkindloMjølner
What is the recent form of both teams?
Over their last 14 matches in all competitions, Odd II have 5 wins, 0 draws and 9 defeats; Mjølner have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2019 | Fram(away) | 4-1 | 2. Division - Group 2 |
| Jul 27, 2019 | Kjelsås(home) | 1-2 | 2. Division - Group 2 |
| Jul 20, 2019 | Grorud(away) | 0-2 | 2. Division - Group 2 |
| Jun 24, 2019 | Alta(home) | 5-0 | 2. Division - Group 2 |
| Jun 17, 2019 | Floro(away) | 1-3 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2019 | Kjelsås(away) | 1-3 | 2. Division - Group 2 |
| Jul 28, 2019 | Grorud(home) | 1-0 | 2. Division - Group 2 |
| Jul 21, 2019 | Asker(away) | 2-2 | 2. Division - Group 2 |
| Jun 22, 2019 | Fram(home) | 2-2 | 2. Division - Group 2 |
| Jun 16, 2019 | Bærum(away) | 2-3 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Odd II win(s), 0 draw(s), 1 Mjølner win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2019 | Mjølner 1-0 Odd II | 2. Division - Group 2 |
How many goals should we expect?
Odd II score 1.7 and concede 1.7 goals per match over their last 14; Mjølner score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Odd II | 1.7 | 1.7 | 3 | 6/14 | 10/14 |
| Mjølner | 1.0 | 1.9 | 3 | 8/15 | 10/15 |
Over the last 14 matches in all competitions.
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