Bærum vs Tromsø II: result 2-1 and analysis
3. Division - Girone 1Group 1 - 11Kick-off on June 22, 2025 at 10:00 AM (UTC)AJ Arena, Sandvika
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What was the result of Bærum vs Tromsø II?
Bærum won 2-1 on June 22, 2025.
Goalscorers
- 22′577490Bærum
- 40′577490Bærum
- 47′594820Tromsø II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bærum have 7 wins, 1 draw and 7 defeats; Tromsø II 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 |
|---|---|---|---|
| Jun 15, 2025 | Alta II(away) | 5-1 | 3. Division - Girone 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2025 | Skjervøy(home) | 5-0 | 3. Division - Girone 1 |
| Jun 7, 2025 | Sortland(away) | 2-0 | 3. Division - Girone 1 |
| Jun 2, 2025 | KFUM II(home) | 3-2 | 3. Division - Girone 1 |
| May 25, 2025 | Gamle Oslo(away) | 0-3 | 3. Division - Girone 1 |
| May 10, 2025 | Funnefoss / Vormsund(home) | 3-0 | 3. Division - Girone 1 |
How many goals should we expect?
Bærum score 2.7 and concede 1.6 goals per match over their last 15; Tromsø II score 2.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bærum | 2.7 | 1.6 | 2 | 10/15 | 12/15 |
| Tromsø II | 2.5 | 2.0 | 6 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Bærum | 23 | 11 | 2 | 10 | 64 | 45 | 35 |
A question about Bærum vs Tromsø II?
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