IF Ready vs Oppsal: result 1-3 and analysis
3. Division - Girone 1Girone 1 - 12Kick-off on June 25, 2022 at 12:00 PM (UTC)Gressbanen, Oslo
Full time
What was the result of IF Ready vs Oppsal?
Oppsal won 1-3 on June 25, 2022.
Goalscorers
- 6′?Oppsal
- 12′?Oppsal
- 15′?Oppsal
- 37′?IF Ready
What is the recent form of both teams?
Over their last 15 matches in all competitions, IF Ready have 5 wins, 2 draws and 8 defeats; Oppsal have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2022 | Skeid II(away) | 1-1 | 3. Division - Girone 1 |
| Jun 11, 2022 | Sandviken(home) | 3-3 | 3. Division - Girone 1 |
| Jun 4, 2022 | Nordstrand(away) | 0-1 | 3. Division - Girone 1 |
| May 31, 2022 | Grorud II(away) | 2-4 | 3. Division - Girone 1 |
| May 23, 2022 | Stabæk II(home) | 1-2 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2022 | Sandviken(home) | 0-0 | 3. Division - Girone 1 |
| Jun 13, 2022 | Stabæk II(away) | 3-1 | 3. Division - Girone 1 |
| Jun 4, 2022 | Os(home) | 1-4 | 3. Division - Girone 1 |
| May 28, 2022 | Frøya(away) | 0-2 | 3. Division - Girone 1 |
| May 21, 2022 | Grorud II(home) | 4-1 | 3. Division - Girone 1 |
How many goals should we expect?
IF Ready score 1.6 and concede 1.6 goals per match over their last 15; Oppsal score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IF Ready | 1.6 | 1.6 | 3 | 10/15 | 10/15 |
| Oppsal | 1.5 | 1.8 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | IF Ready | 23 | 11 | 6 | 6 | 59 | 43 | 39 |
A question about IF Ready vs Oppsal?
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