Mjølner vs Bærum: result 3-0 and analysis
2. Division - Group 2Regular Season - 26Kick-off on October 26, 2019 at 11:00 AM (UTC)Narvik Stadion, Narvik
Full time
What was the result of Mjølner vs Bærum?
Mjølner won 3-0 on October 26, 2019.
Goalscorers
- 42′M. NicolaisenMjølner
- 52′M. AbelsenMjølner
- 90′M. AbelsenMjølner
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mjølner have 2 wins, 5 draws and 8 defeats; Bærum 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 |
|---|---|---|---|
| Oct 19, 2019 | Asane(away) | 0-3 | 2. Division - Group 2 |
| Oct 13, 2019 | Sotra(home) | 3-2 | 2. Division - Group 2 |
| Oct 6, 2019 | Oppsal(away) | 0-2 | 2. Division - Group 2 |
| Sep 29, 2019 | Asker(home) | 1-4 | 2. Division - Group 2 |
| Sep 22, 2019 | Grorud(away) | 1-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Senja(home) | 1-3 | 2. Division - Group 2 |
| Oct 13, 2019 | Odd II(away) | 1-2 | 2. Division - Group 2 |
| Oct 5, 2019 | Grorud(home) | 1-1 | 2. Division - Group 2 |
| Sep 28, 2019 | Asane(away) | 1-6 | 2. Division - Group 2 |
| Sep 21, 2019 | Elverum(home) | 1-0 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Mjølner wins, 0 draws, 1 Bærum win.
| Date | Score | Competition |
|---|---|---|
| Jun 16, 2019 | Bærum 3-2 Mjølner | 2. Division - Group 2 |
How many goals should we expect?
Mjølner score 1.2 and concede 2.2 goals per match over their last 15; Bærum score 1.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mjølner | 1.2 | 2.2 | 2 | 10/15 | 10/15 |
| Bærum | 1.5 | 2.5 | 1 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Mjølner vs Bærum?
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