Sohar vs Muscat: result 1-0 and analysis
Professional LeagueRegular Season - 19Kick-off on February 11, 2016 at 03:00 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Sohar vs Muscat?
Sohar won 1-0 on February 11, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sohar have 3 wins, 9 draws and 3 defeats; Muscat have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2016 | Al Suwaiq(away) | 0-0 | Professional League |
| Jan 30, 2016 | Saham(home) | 0-0 | Professional League |
| Jan 26, 2016 | Al-Musannah(away) | 1-2 | Professional League |
| Jan 22, 2016 | Dhofar(home) | 3-3 | Professional League |
| Jan 18, 2016 | Sur(away) | 1-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jan 22, 2016 | Al Nasr(away) | 2-1 | Professional League |
| Jan 18, 2016 | Fanja(home) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 1 Sohar win, 0 draws, 0 Muscat wins.
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2015 | Muscat 2-4 Sohar | Professional League |
How many goals should we expect?
Sohar score 1.1 and concede 1.0 goals per match over their last 15; Muscat score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sohar | 1.1 | 1.0 | 6 | 8/15 | 6/15 |
| Muscat | 1.1 | 1.2 | 3 | 10/15 | 5/15 |
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 | Sohar | 4 | 1 | 2 | 1 | 2 | 4 | 5 |
A question about Sohar vs Muscat?
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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