Oppsal vs Skeid II: result 5-1 and analysis
3. Division - Girone 1Girone 1 - 23Kick-off on October 4, 2022 at 04:30 PM (UTC)Trasop kunstgress, Oslo
Full time
What was the result of Oppsal vs Skeid II?
Oppsal won 5-1 on October 4, 2022.
Goalscorers
- 10′S. LoulantiOppsal
- 20′S. LoulantiOppsal
- 30′?Oppsal
- 56′?Skeid II
- 72′?Oppsal
- 84′?Oppsal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oppsal have 4 wins, 3 draws and 8 defeats; Skeid II have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Frøya(home) | 0-1 | 3. Division - Girone 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2022 | Grorud II(home) | 2-3 | 3. Division - Girone 1 |
| Sep 18, 2022 | Sandviken(away) | 2-2 | 3. Division - Girone 1 |
| Sep 13, 2022 | Stabæk II(home) | 2-1 | 3. Division - Girone 1 |
| Sep 6, 2022 | Lyn(away) | 0-6 | 3. Division - Girone 1 |
| Aug 30, 2022 | SF Grei(away) | 4-4 | 3. Division - Girone 1 |
What does the head-to-head say?
In the last meeting: 0 Oppsal wins, 1 draw, 0 Skeid II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2022 | Skeid II 1-1 Oppsal | 3. Division - Girone 1 |
How many goals should we expect?
Oppsal score 1.1 and concede 1.6 goals per match over their last 15; Skeid II score 2.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oppsal | 1.1 | 1.6 | 3 | 8/15 | 9/15 |
| Skeid II | 2.0 | 2.3 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Oppsal vs Skeid II?
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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