Frigg vs Ulfstind: result 5-1 and analysis
3. Division - Girone 1Group 1 - 4Kick-off on April 26, 2025 at 11:00 AM (UTC)Tørteberg kunstgress 2, Oslo
Full time
What was the result of Frigg vs Ulfstind?
Frigg won 5-1 on April 26, 2025.
Goalscorers
- 21′612623Ulfstind
- 25′612619Frigg
- 29′S. BaraneFrigg
- 45′577520Frigg
- 53′577520Frigg
- 69′577520Frigg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frigg have 9 wins, 3 draws and 3 defeats; Ulfstind have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2025 | Tromsø II(away) | 5-3 | 3. Division - Girone 1 |
| Apr 12, 2025 | Lørenskog(home) | 1-3 | NM Cupen |
| Apr 7, 2025 | KFUM II(home) | 2-1 | 3. Division - Girone 1 |
| Mar 29, 2025 | Gamle Oslo(away) | 2-2 | 3. Division - Girone 1 |
| Feb 15, 2025 | Asker(away) | 0-6 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2025 | Harstad(home) | 2-1 | 3. Division - Girone 1 |
| Apr 13, 2025 | Tromsdalen Uil(home) | 0-3 | NM Cupen |
| Apr 3, 2025 | Fløya(away) | 0-2 | 3. Division - Girone 1 |
| Mar 29, 2025 | Bærum(home) | 1-0 | 3. Division - Girone 1 |
| Oct 27, 2024 | Skjervøy(away) | 1-2 | 3. Division - Girone 6 |
How many goals should we expect?
Frigg score 3.7 and concede 2.0 goals per match over their last 15; Ulfstind score 1.7 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frigg | 3.7 | 2.0 | 3 | 11/15 | 14/15 |
| Ulfstind | 1.7 | 2.6 | 1 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Frigg | 22 | 9 | 6 | 7 | 51 | 49 | 33 |
A question about Frigg vs Ulfstind?
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