Oppsal vs Frigg: result 2-1 and analysis
3. Division - Girone 3Group 3 - 21Kick-off on September 14, 2024 at 12:00 PM (UTC)Trasop kunstgress, Oslo
Full time
What was the result of Oppsal vs Frigg?
Oppsal won 2-1 on September 14, 2024.
Goalscorers
- 12′?Frigg
- 22′?Oppsal
- 47′?Oppsal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oppsal have 4 wins, 2 draws and 9 defeats; Frigg have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2024 | Gamle Oslo(away) | 2-3 | 3. Division - Girone 3 |
| Sep 1, 2024 | Sarpsborg 08 II(away) | 1-2 | 3. Division - Girone 3 |
| Aug 24, 2024 | Bærum(home) | 0-1 | 3. Division - Girone 3 |
| Aug 20, 2024 | Skeid II(away) | 2-4 | 3. Division - Girone 3 |
| Aug 11, 2024 | Asker(home) | 0-1 | 3. Division - Girone 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2024 | Sarpsborg 08 II(home) | 4-2 | 3. Division - Girone 3 |
| Aug 31, 2024 | KFUM II(away) | 3-3 | 3. Division - Girone 3 |
| Aug 24, 2024 | Asker(home) | 3-1 | 3. Division - Girone 3 |
| Aug 20, 2024 | Mjøndalen II(away) | 1-0 | 3. Division - Girone 3 |
| Aug 10, 2024 | Flint(home) | 3-3 | 3. Division - Girone 3 |
What does the head-to-head say?
In the last meeting: 0 Oppsal wins, 0 draws, 1 Frigg win.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2024 | Frigg 1-0 Oppsal | 3. Division - Girone 3 |
How many goals should we expect?
Oppsal score 1.9 and concede 1.6 goals per match over their last 15; Frigg score 3.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oppsal | 1.9 | 1.6 | 5 | 7/15 | 11/15 |
| Frigg | 3.1 | 1.3 | 6 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Oppsal 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