Skjervøy vs Frigg: result 1-2 and analysis
3. Division - Girone 1Group 1 - 9Kick-off on June 8, 2025 at 01:30 PM (UTC)Lerøy Stadion, Skjervøy
Full time
What was the result of Skjervøy vs Frigg?
Frigg won 1-2 on June 8, 2025.
Goalscorers
- 51′S. BaraneFrigg
- 67′612592Skjervøy
- 73′612619Frigg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjervøy have 7 wins, 2 draws and 6 defeats; Frigg have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2025 | Bærum(away) | 2-10 | 3. Division - Girone 1 |
| May 24, 2025 | Harstad(home) | 3-2 | 3. Division - Girone 1 |
| May 11, 2025 | Junkeren(away) | 1-10 | 3. Division - Girone 1 |
| May 3, 2025 | Fløya(home) | 0-3 | 3. Division - Girone 1 |
| Apr 27, 2025 | Sortland(home) | 3-2 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2025 | Funnefoss / Vormsund(home) | 6-0 | 3. Division - Girone 1 |
| May 25, 2025 | Sortland(away) | 2-0 | 3. Division - Girone 1 |
| May 11, 2025 | Ullern(home) | 1-0 | 3. Division - Girone 1 |
| May 4, 2025 | Harstad(away) | 4-1 | 3. Division - Girone 1 |
| Apr 26, 2025 | Ulfstind(home) | 5-1 | 3. Division - Girone 1 |
How many goals should we expect?
Skjervøy score 1.9 and concede 3.1 goals per match over their last 15; Frigg score 4.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjervøy | 1.9 | 3.1 | 1 | 12/15 | 13/15 |
| Frigg | 4.1 | 1.6 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Frigg | 24 | 9 | 6 | 9 | 53 | 58 | 33 |
A question about Skjervøy vs Frigg?
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