Alta II vs Bærum: result 1-5 and analysis
3. Division - Girone 1Group 1 - 10Kick-off on June 15, 2025 at 08:00 AM (UTC)SmartDok Arena, Alta
Full time
What was the result of Alta II vs Bærum?
Bærum won 1-5 on June 15, 2025.
Goalscorers
- 13′M. MyrmoBærum
- 59′612601Alta II
- 71′577490Bærum
- 82′577511Bærum
- 85′577490Bærum
- 90′612628Bærum
What is the recent form of both teams?
Over their last 9 matches in all competitions, Alta II have 0 wins, 3 draws and 6 defeats; Bærum have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2025 | Junkeren(away) | 4-8 | 3. Division - Girone 1 |
| Jun 1, 2025 | Ullern(home) | 1-2 | 3. Division - Girone 1 |
| May 24, 2025 | Funnefoss / Vormsund(away) | 1-5 | 3. Division - Girone 1 |
| May 10, 2025 | Ulfstind(home) | 3-3 | 3. Division - Girone 1 |
| May 4, 2025 | Gamle Oslo(away) | 1-4 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2025 | Fløya(home) | 3-0 | 3. Division - Girone 1 |
| May 30, 2025 | Skjervøy(home) | 10-2 | 3. Division - Girone 1 |
| May 24, 2025 | Junkeren(away) | 0-2 | 3. Division - Girone 1 |
| May 10, 2025 | Gamle Oslo(home) | 1-2 | 3. Division - Girone 1 |
| May 3, 2025 | Funnefoss / Vormsund(away) | 7-1 | 3. Division - Girone 1 |
How many goals should we expect?
Alta II score 1.4 and concede 3.7 goals per match over their last 9; Bærum score 2.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alta II | 1.4 | 3.7 | 0 | 7/9 | 8/9 |
| Bærum | 2.7 | 1.5 | 3 | 9/15 | 12/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Bærum | 23 | 11 | 2 | 10 | 64 | 45 | 35 |
A question about Alta II 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