Sur vs Muscat: result 1-1 and analysis
Professional LeagueRegular Season - 17Kick-off on March 1, 2019 at 01:25 PM (UTC)Sur Sports Complex, Sur
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What was the result of Sur vs Muscat?
Sur and Muscat drew 1-1 on March 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sur have 3 wins, 3 draws and 9 defeats; Muscat have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2019 | Al Oruba(away) | 1-7 | Professional League |
| Feb 20, 2019 | Al Nasr(home) | 1-3 | Professional League |
| Feb 7, 2019 | Al-Nahda(away) | 0-1 | Professional League |
| Nov 24, 2018 | Al-Shabab(away) | 4-1 | Professional League |
| Nov 10, 2018 | Al Suwaiq(home) | 1-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2019 | Al-Rustaq(home) | 1-1 | Professional League |
| Feb 19, 2019 | Oman Club(away) | 1-1 | Professional League |
| Feb 7, 2019 | Mrbat(home) | 1-2 | Professional League |
| Nov 24, 2018 | Saham(home) | 2-0 | Professional League |
| Nov 10, 2018 | Sohar(away) | 0-1 | Professional League |
What does the head-to-head say?
Across the last 3 meetings: 0 Sur win(s), 2 draw(s), 1 Muscat win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2018 | Muscat 1-0 Sur | Professional League |
| Mar 3, 2016 | Sur 0-0 Muscat | Professional League |
| Nov 28, 2015 | Muscat 1-1 Sur | Professional League |
How many goals should we expect?
Sur score 1.1 and concede 1.9 goals per match over their last 15; Muscat score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sur | 1.1 | 1.9 | 2 | 9/15 | 8/15 |
| Muscat | 1.3 | 1.0 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Sur | 26 | 8 | 8 | 10 | 34 | 37 | 32 |
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