Mjølner vs Odd II: result 1-0 and analysis
2. Division - Group 2Regular Season - 8Kick-off on June 2, 2019 at 03:00 PM (UTC)Narvik Stadion, Narvik
Full time
What was the result of Mjølner vs Odd II?
Mjølner won 1-0 on June 2, 2019.
Goalscorers
- 14′T. TorblaMjølner
Official lineup for Mjølner vs Odd II
The starting elevens fielded at kick-off.
Mjølner
- 8Ņ. Kaļiņins
- 9E. Skogvoll
- 18W. Hanssen
- 30M. Nicolaisen
- 10M. Johnsen
- 15T. Torbla
- 2K. Evensen
- 5M. Laudal
- 19N. Antonsen
- 25E. Okine
- 12Daniel Dehnes Ravneng
Odd II
- 4E. Eikeng
- 15F. Delaveris
- 5A. Sødlund
- 7E. Willumsen
- 17M. Kaasa
- 19M. Flöholm
- 18V. Amarkhel
- 21S. Bergan
- 11B. Mæland
- 14E. Asante Gayi
- 12E. Selvik
What is the recent form of both teams?
Over their last 7 matches in all competitions, Mjølner have 2 wins, 0 draws and 5 defeats; Odd II have 3, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2019 | Senja(away) | 2-1 | 2. Division - Group 2 |
| May 19, 2019 | Kjelsås(home) | 1-3 | 2. Division - Group 2 |
| May 12, 2019 | Elverum(away) | 1-2 | 2. Division - Group 2 |
| May 5, 2019 | Asane(home) | 1-5 | 2. Division - Group 2 |
| May 1, 2019 | Melbo IL(away) | 0-1 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Elverum(away) | 1-3 | 2. Division - Group 2 |
| May 20, 2019 | Asane(home) | 0-1 | 2. Division - Group 2 |
| May 13, 2019 | Senja(away) | 0-5 | 2. Division - Group 2 |
| May 6, 2019 | Oppsal(home) | 3-2 | 2. Division - Group 2 |
| Apr 27, 2019 | Asker(away) | 0-2 | 2. Division - Group 2 |
How many goals should we expect?
Mjølner score 0.9 and concede 2.1 goals per match over their last 7; Odd II score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mjølner | 0.9 | 2.1 | 1 | 4/7 | 5/7 |
| Odd II | 1.7 | 1.9 | 2 | 2/7 | 5/7 |
Over the last 7 matches in all competitions.
A question about Mjølner vs Odd II?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy