Alta vs Elverum: result 3-1 and analysis
2. Division - Group 2Regular Season - 10Kick-off on June 16, 2019 at 03:00 PM (UTC)SmartDok Arena, Alta
Full time
What was the result of Alta vs Elverum?
Alta won 3-1 on June 16, 2019.
Goalscorers
- 24′Gustav SeverinsenAlta
- 74′H. NomeAlta
- 76′Magnus Killingberg NikolaisenAlta
- 79′M. SolumElverum
What is the recent form of both teams?
Over their last 11 matches in all competitions, Alta have 6 wins, 2 draws and 3 defeats; Elverum have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2019 | Asker(away) | 2-2 | 2. Division - Group 2 |
| Jun 1, 2019 | Oppsal(away) | 1-3 | 2. Division - Group 2 |
| May 26, 2019 | Fram(home) | 3-2 | 2. Division - Group 2 |
| May 22, 2019 | Fløya(away) | 3-0 | NM Cupen |
| May 19, 2019 | Bærum(away) | 1-3 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2019 | Grorud(home) | 1-2 | 2. Division - Group 2 |
| May 25, 2019 | Odd II(home) | 3-1 | 2. Division - Group 2 |
| May 21, 2019 | Stabaek(home) | 1-6 | NM Cupen |
| May 16, 2019 | Floro(away) | 0-2 | 2. Division - Group 2 |
| May 12, 2019 | Mjølner(home) | 2-1 | 2. Division - Group 2 |
How many goals should we expect?
Alta score 1.8 and concede 1.2 goals per match over their last 11; Elverum score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alta | 1.8 | 1.2 | 5 | 5/11 | 7/11 |
| Elverum | 0.9 | 1.9 | 2 | 7/15 | 10/15 |
Over the last 11 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 Alta vs Elverum?
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