Oppsal vs Frøya: result 0-1 and analysis
3. Division - Girone 1Girone 1 - 22Kick-off on September 24, 2022 at 11:00 AM (UTC)Trasop kunstgress, Oslo
Full time
What was the result of Oppsal vs Frøya?
Frøya won 0-1 on September 24, 2022.
Goalscorers
- 61′?Frøya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oppsal have 5 wins, 3 draws and 7 defeats; Frøya have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2022 | Grorud II(away) | 0-1 | 3. Division - Girone 1 |
| Sep 10, 2022 | IF Ready(home) | 2-1 | 3. Division - Girone 1 |
| Sep 3, 2022 | Nordstrand(away) | 1-2 | 3. Division - Girone 1 |
| Aug 27, 2022 | Sandviken(away) | 1-2 | 3. Division - Girone 1 |
| Aug 20, 2022 | Lokomotiv Oslo(home) | 0-0 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2022 | Fyllingsdalen(home) | 0-0 | 3. Division - Girone 1 |
| Sep 10, 2022 | SF Grei(away) | 1-3 | 3. Division - Girone 1 |
| Sep 3, 2022 | Lokomotiv Oslo(home) | 0-3 | 3. Division - Girone 1 |
| Aug 27, 2022 | IF Ready(home) | 3-2 | 3. Division - Girone 1 |
| Aug 20, 2022 | Grorud II(away) | 2-3 | 3. Division - Girone 1 |
What does the head-to-head say?
In the last meeting: 0 Oppsal wins, 0 draws, 1 Frøya win.
| Date | Score | Competition |
|---|---|---|
| May 28, 2022 | Frøya 2-0 Oppsal | 3. Division - Girone 1 |
How many goals should we expect?
Oppsal score 1.4 and concede 1.6 goals per match over their last 15; Frøya score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oppsal | 1.4 | 1.6 | 3 | 9/15 | 10/15 |
| Frøya | 1.5 | 2.1 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Oppsal vs Frøya?
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