Asane vs Mjølner: result 3-0 and analysis
2. Division - Group 2Regular Season - 25Kick-off on October 19, 2019 at 11:00 AM (UTC)Åsane Arena, Bergen
Full time
What was the result of Asane vs Mjølner?
Asane won 3-0 on October 19, 2019.
Goalscorers
- 3′H. UdahlAsane
- 79′H. LorentzenAsane
- 83′Joakim Vatle HammerslandAsane
What is the recent form of both teams?
Over their last 15 matches in all competitions, Asane have 7 wins, 4 draws and 4 defeats; Mjølner have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Floro(away) | 0-1 | 2. Division - Group 2 |
| Oct 5, 2019 | Kjelsås(home) | 3-0 | 2. Division - Group 2 |
| Sep 28, 2019 | Bærum(home) | 6-1 | 2. Division - Group 2 |
| Sep 22, 2019 | Senja(away) | 2-0 | 2. Division - Group 2 |
| Sep 16, 2019 | Odd II(home) | 2-0 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 15, 2019 | Alta(home) | 0-0 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Asane win, 0 draws, 0 Mjølner wins.
| Date | Score | Competition |
|---|---|---|
| May 5, 2019 | Mjølner 1-5 Asane | 2. Division - Group 2 |
How many goals should we expect?
Asane score 2.4 and concede 1.6 goals per match over their last 15; Mjølner score 1.3 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asane | 2.4 | 1.6 | 3 | 10/15 | 10/15 |
| Mjølner | 1.3 | 2.2 | 2 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Asane 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