Sur vs Muscat: result 0-0 and analysis
Professional LeagueRegular Season - 21Kick-off on March 3, 2016 at 01:15 PM (UTC)Sur Sports Complex
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What was the result of Sur vs Muscat?
Sur and Muscat drew 0-0 on March 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sur have 2 wins, 9 draws and 4 defeats; Muscat have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2016 | Al Suwaiq(away) | 0-2 | Professional League |
| Feb 11, 2016 | Saham(home) | 2-2 | Professional League |
| Feb 4, 2016 | Al-Musannah(away) | 1-1 | Professional League |
| Jan 31, 2016 | Dhofar(home) | 1-0 | Professional League |
| Jan 26, 2016 | Al Oruba(home) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2016 | Salalah(home) | 2-1 | Professional League |
| Feb 11, 2016 | Sohar(away) | 0-1 | Professional League |
| Feb 3, 2016 | Al-Shabab(home) | 0-1 | Professional League |
| Jan 31, 2016 | Al-Nahda(away) | 1-1 | Professional League |
| Jan 27, 2016 | Al-Khabourah(home) | 2-0 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Sur wins, 1 draw, 0 Muscat wins.
| Date | Score | Competition |
|---|---|---|
| Nov 28, 2015 | Muscat 1-1 Sur | Professional League |
How many goals should we expect?
Sur score 0.7 and concede 0.9 goals per match over their last 15; Muscat score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sur | 0.7 | 0.9 | 4 | 7/15 | 3/15 |
| Muscat | 1.0 | 1.1 | 3 | 9/15 | 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 Muscat?
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