Mjølner vs Alta: result 0-0 and analysis
2. Division - Group 2Regular Season - 20Kick-off on September 15, 2019 at 11:00 AM (UTC)Narvik Stadion, Narvik
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What was the result of Mjølner vs Alta?
Mjølner and Alta drew 0-0 on September 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mjølner have 3 wins, 4 draws and 8 defeats; Alta have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Fram(away) | 2-4 | 2. Division - Group 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Asane(home) | 2-2 | 2. Division - Group 2 |
| Sep 1, 2019 | Sotra(away) | 3-2 | 2. Division - Group 2 |
| Aug 25, 2019 | Asker(home) | 3-2 | 2. Division - Group 2 |
| Aug 18, 2019 | Fram(away) | 0-2 | 2. Division - Group 2 |
| Aug 10, 2019 | Oppsal(home) | 2-0 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Mjølner wins, 0 draws, 1 Alta win.
| Date | Score | Competition |
|---|---|---|
| Apr 13, 2019 | Alta 3-0 Mjølner | 2. Division - Group 2 |
How many goals should we expect?
Mjølner score 1.3 and concede 2.1 goals per match over their last 15; Alta score 1.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mjølner | 1.3 | 2.1 | 2 | 10/15 | 10/15 |
| Alta | 1.9 | 2.0 | 3 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Alta | 26 | 5 | 4 | 17 | 49 | 68 | 19 |
A question about Mjølner vs Alta?
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