Mrbat vs Al-Rustaq: result 0-1 and analysis
Professional LeagueRegular Season - 20Kick-off on April 17, 2019 at 02:00 PM (UTC)
Full time
What was the result of Mrbat vs Al-Rustaq?
Al-Rustaq won 0-1 on April 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mrbat have 5 wins, 6 draws and 4 defeats; Al-Rustaq 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 |
|---|---|---|---|
| Apr 6, 2019 | Oman Club(away) | 0-1 | Professional League |
| Mar 13, 2019 | Mjees(home) | 1-1 | Professional League |
| Mar 1, 2019 | Saham(home) | 0-0 | Professional League |
| Feb 24, 2019 | Sohar(away) | 2-3 | Professional League |
| Feb 20, 2019 | Dhofar(home) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2019 | Saham(home) | 0-0 | Professional League |
| Mar 12, 2019 | Sohar(away) | 2-2 | Professional League |
| Mar 2, 2019 | Dhofar(home) | 0-0 | Professional League |
| Feb 25, 2019 | Muscat(away) | 1-1 | Professional League |
| Feb 20, 2019 | Al Oruba(home) | 0-0 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Mrbat wins, 1 draw, 0 Al-Rustaq wins.
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2018 | Mrbat 0-0 Al-Rustaq | Professional League |
How many goals should we expect?
Mrbat score 0.9 and concede 0.8 goals per match over their last 15; Al-Rustaq score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mrbat | 0.9 | 0.8 | 5 | 7/15 | 5/15 |
| Al-Rustaq | 0.9 | 0.7 | 8 | 4/15 | 4/15 |
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 |
A question about Mrbat vs Al-Rustaq?
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