Sur vs Al-Rustaq: result 1-2 and analysis
Professional LeagueRegular Season - 23Kick-off on May 9, 2019 at 06:00 PM (UTC)Sur Sports Complex
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What was the result of Sur vs Al-Rustaq?
Al-Rustaq won 1-2 on May 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sur have 3 wins, 4 draws and 8 defeats; Al-Rustaq have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2019 | Oman Club(away) | 1-3 | Professional League |
| Apr 24, 2019 | Mrbat(home) | 0-2 | Professional League |
| Apr 17, 2019 | Saham(away) | 1-4 | Professional League |
| Apr 5, 2019 | Sohar(home) | 0-0 | Professional League |
| Mar 13, 2019 | Dhofar(away) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2019 | Mjees(home) | 1-0 | Professional League |
| Apr 24, 2019 | Oman Club(home) | 5-2 | Professional League |
| Apr 17, 2019 | Mrbat(away) | 1-0 | Professional League |
| Apr 5, 2019 | Saham(home) | 0-0 | Professional League |
| Mar 12, 2019 | Sohar(away) | 2-2 | Professional League |
What does the head-to-head say?
In the last meeting: 1 Sur win, 0 draws, 0 Al-Rustaq wins.
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2018 | Al-Rustaq 0-1 Sur | Professional League |
How many goals should we expect?
Sur score 0.9 and concede 1.7 goals per match over their last 15; Al-Rustaq score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sur | 0.9 | 1.7 | 4 | 8/15 | 6/15 |
| Al-Rustaq | 1.2 | 0.7 | 9 | 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 | Sur | 4 | 0 | 0 | 4 | 3 | 9 | 0 |
A question about Sur 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