Lokomotiv Oslo vs Oppsal: result 2-1 and analysis
3. Division - Girone 1Girone 1 - 4Kick-off on April 30, 2022 at 04:30 PM (UTC)Tørteberg kunstgress 2, Oslo
Full time
What was the result of Lokomotiv Oslo vs Oppsal?
Lokomotiv Oslo won 2-1 on April 30, 2022.
Goalscorers
- 3′?Lokomotiv Oslo
- 64′?Lokomotiv Oslo
- 77′?Oppsal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv Oslo have 7 wins, 2 draws and 6 defeats; Oppsal have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Sandviken(away) | 2-1 | 3. Division - Girone 1 |
| Apr 20, 2022 | Grorud II(home) | 0-1 | 3. Division - Girone 1 |
| Apr 9, 2022 | IF Ready(away) | 0-1 | 3. Division - Girone 1 |
| Oct 30, 2021 | Ullern(home) | 1-2 | 3. Division - Girone 6 |
| Oct 23, 2021 | Skeid II(away) | 2-1 | 3. Division - Girone 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | SF Grei(home) | 4-2 | 3. Division - Girone 1 |
| Apr 20, 2022 | Skeid II(away) | 1-1 | 3. Division - Girone 1 |
| Apr 9, 2022 | Lyn(home) | 1-3 | 3. Division - Girone 1 |
| Oct 30, 2021 | Flint(away) | 2-1 | 3. Division - Girone 2 |
| Oct 23, 2021 | Fredrikstad II(home) | 1-1 | 3. Division - Girone 2 |
How many goals should we expect?
Lokomotiv Oslo score 1.9 and concede 1.3 goals per match over their last 15; Oppsal score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv Oslo | 1.9 | 1.3 | 3 | 9/15 | 10/15 |
| Oppsal | 1.5 | 1.7 | 1 | 12/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Lokomotiv Oslo | 26 | 9 | 3 | 14 | 48 | 72 | 30 |
A question about Lokomotiv Oslo vs Oppsal?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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