Ulfstind vs Gamle Oslo: result 3-1 and analysis
3. Division - Girone 1Group 1 - 8Kick-off on June 1, 2025 at 11:00 AM (UTC)TUIL Arena, Tromsø
Full time
What was the result of Ulfstind vs Gamle Oslo?
Ulfstind won 3-1 on June 1, 2025.
Goalscorers
- 14′S. SorlieGamle Oslo
- 28′612635Ulfstind
- 30′Ivar FuruUlfstind (o.g.)
- 90′E. NessUlfstind
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ulfstind have 3 wins, 3 draws and 9 defeats; Gamle Oslo have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2025 | KFUM II(away) | 0-3 | 3. Division - Girone 1 |
| May 10, 2025 | Alta II(away) | 3-3 | 3. Division - Girone 1 |
| May 1, 2025 | Tromsø II(home) | 0-2 | 3. Division - Girone 1 |
| Apr 26, 2025 | Frigg(away) | 1-5 | 3. Division - Girone 1 |
| Apr 21, 2025 | Harstad(home) | 2-1 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2025 | Tromsø II(home) | 3-0 | 3. Division - Girone 1 |
| May 10, 2025 | Bærum(away) | 2-1 | 3. Division - Girone 1 |
| May 4, 2025 | Alta II(home) | 4-1 | 3. Division - Girone 1 |
| Apr 27, 2025 | Junkeren(away) | 0-2 | 3. Division - Girone 1 |
| Apr 24, 2025 | Sarpsborg 08 FF(home) | 1-6 | NM Cupen |
How many goals should we expect?
Ulfstind score 1.6 and concede 2.5 goals per match over their last 15; Gamle Oslo score 2.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ulfstind | 1.6 | 2.5 | 1 | 10/15 | 11/15 |
| Gamle Oslo | 2.3 | 1.8 | 2 | 12/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Gamle Oslo | 23 | 14 | 2 | 7 | 70 | 42 | 44 |
A question about Ulfstind vs Gamle Oslo?
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