Asane vs Alta: result 3-1 and analysis
2. Division - Group 2Regular Season - 13Kick-off on July 27, 2019 at 02:00 PM (UTC)Åsane Arena, Bergen
Full time
What was the result of Asane vs Alta?
Asane won 3-1 on July 27, 2019.
Goalscorers
- 8′Kristoffer ValsvikAsane
- 29′O. KolskogenAlta (o.g.)
- 72′Kristoffer ValsvikAsane
- 90′O. Didrik BlombergAsane
What is the recent form of both teams?
Over their last 15 matches in all competitions, Asane have 7 wins, 3 draws and 5 defeats; Alta have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2019 | Sotra(away) | 3-3 | 2. Division - Group 2 |
| Jun 22, 2019 | Asker(home) | 1-1 | 2. Division - Group 2 |
| Jun 15, 2019 | Fram(away) | 0-3 | 2. Division - Group 2 |
| Jun 8, 2019 | Oppsal(home) | 5-0 | 2. Division - Group 2 |
| Jun 1, 2019 | Bærum(away) | 2-0 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2019 | Floro(home) | 3-0 | 2. Division - Group 2 |
| Jun 24, 2019 | Odd II(away) | 0-5 | 2. Division - Group 2 |
| Jun 20, 2019 | Stabaek(home) | 1-4 | NM Cupen |
| Jun 16, 2019 | Elverum(home) | 3-1 | 2. Division - Group 2 |
| Jun 10, 2019 | Asker(away) | 2-2 | 2. Division - Group 2 |
How many goals should we expect?
Asane score 2.2 and concede 1.1 goals per match over their last 15; Alta score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asane | 2.2 | 1.1 | 6 | 6/15 | 8/15 |
| Alta | 1.8 | 1.5 | 6 | 7/15 | 11/15 |
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 Asane 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