Fram vs Mjølner: result 4-2 and analysis
2. Division - Group 2Regular Season - 19Kick-off on September 8, 2019 at 11:00 AM (UTC)Framparken, Larvik
Full time
What was the result of Fram vs Mjølner?
Fram won 4-2 on September 8, 2019.
Goalscorers
- 10′A. SkindloMjølner
- 16′VitinhoMjølner
- 17′K. TollefsenFram
- 57′Jone RuglandFram
- 79′M. NdiayeFram
- 87′A. OlsenFram
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fram have 6 wins, 5 draws and 4 defeats; Mjølner have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Asker(away) | 2-0 | 2. Division - Group 2 |
| Aug 24, 2019 | Bærum(away) | 1-2 | 2. Division - Group 2 |
| Aug 18, 2019 | Alta(home) | 2-0 | 2. Division - Group 2 |
| Aug 11, 2019 | Asane(away) | 1-1 | 2. Division - Group 2 |
| Aug 5, 2019 | Odd II(home) | 1-4 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Senja(home) | 0-1 | 2. Division - Group 2 |
| Aug 24, 2019 | Floro(away) | 2-2 | 2. Division - Group 2 |
| Aug 18, 2019 | Elverum(home) | 1-1 | 2. Division - Group 2 |
| Aug 12, 2019 | Odd II(away) | 2-5 | 2. Division - Group 2 |
| Aug 4, 2019 | Kjelsås(away) | 1-3 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Fram wins, 1 draw, 0 Mjølner wins.
| Date | Score | Competition |
|---|---|---|
| Jun 22, 2019 | Mjølner 2-2 Fram | 2. Division - Group 2 |
How many goals should we expect?
Fram score 1.5 and concede 1.1 goals per match over their last 15; Mjølner score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fram | 1.5 | 1.1 | 6 | 8/15 | 8/15 |
| Mjølner | 1.2 | 1.9 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Fram vs Mjølner?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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