Al Oruba vs Muscat: result 3-1 and analysis
Professional LeagueRegular Season - 7Kick-off on October 23, 2016 at 01:00 PM (UTC)Sur Sports Complex
Full time
What was the result of Al Oruba vs Muscat?
Al Oruba won 3-1 on October 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Oruba have 7 wins, 4 draws and 4 defeats; Muscat have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2016 | Al-Shabab(away) | 1-2 | Professional League |
| Oct 15, 2016 | Sohar(home) | 3-2 | Professional League |
| Oct 1, 2016 | Al-Nahda(away) | 0-0 | Professional League |
| Sep 26, 2016 | Fanja(away) | 3-1 | Professional League |
| Sep 22, 2016 | Jaalan(home) | 2-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2016 | Jaalan(home) | 2-2 | Professional League |
| Oct 15, 2016 | Al-Rustaq(away) | 1-2 | Professional League |
| Oct 1, 2016 | Al-Khabourah(home) | 1-2 | Professional League |
| Sep 27, 2016 | Saham(away) | 1-1 | Professional League |
| Sep 22, 2016 | Al Nasr(home) | 1-2 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 0 Al Oruba wins, 1 draw, 1 Muscat win.
| Date | Score | Competition |
|---|---|---|
| Apr 24, 2016 | Muscat 1-0 Al Oruba | Professional League |
| Dec 26, 2015 | Al Oruba 0-0 Muscat | Professional League |
How many goals should we expect?
Al Oruba score 1.3 and concede 0.9 goals per match over their last 15; Muscat score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Oruba | 1.3 | 0.9 | 5 | 7/15 | 8/15 |
| Muscat | 1.2 | 1.3 | 3 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Al Oruba vs Muscat?
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