Al-Rustaq vs Muscat: result 2-3 and analysis
Professional LeagueRegular Season - 3Kick-off on August 31, 2018 at 01:45 PM (UTC)Ibri Youth Complex, Ibri
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What was the result of Al-Rustaq vs Muscat?
Muscat won 2-3 on August 31, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Rustaq have 2 wins, 2 draws and 11 defeats; Muscat have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2018 | Al Oruba(away) | 1-0 | Professional League |
| Aug 18, 2018 | Al Nasr(home) | 0-3 | Professional League |
| May 19, 2017 | Jaalan(home) | 1-2 | Professional League |
| May 15, 2017 | Fanja(away) | 0-0 | Professional League |
| May 10, 2017 | Al-Khabourah(away) | 2-4 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2018 | Oman Club(home) | 1-0 | Professional League |
| Aug 17, 2018 | Mrbat(away) | 1-3 | Professional League |
| Jun 3, 2018 | Al Oruba(home) | 2-1 | Professional League |
| May 30, 2018 | Mrbat(away) | 0-4 | Professional League |
| May 22, 2018 | Al Salam(away) | 3-1 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 1 Al-Rustaq win(s), 0 draw(s), 1 Muscat win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 19, 2017 | Muscat 2-1 Al-Rustaq | Professional League |
| Oct 15, 2016 | Al-Rustaq 2-1 Muscat | Professional League |
How many goals should we expect?
Al-Rustaq score 0.9 and concede 2.1 goals per match over their last 15; Muscat score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Rustaq | 0.9 | 2.1 | 3 | 8/15 | 10/15 |
| Muscat | 1.1 | 1.7 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Al-Rustaq | 26 | 3 | 6 | 17 | 24 | 46 | 15 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy