Sohar vs Muscat: result 2-2 and analysis
Professional LeagueRegular Season - 9Kick-off on October 31, 2016 at 01:00 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Sohar vs Muscat?
Sohar and Muscat drew 2-2 on October 31, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sohar have 7 wins, 3 draws and 5 defeats; Muscat have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2016 | Al-Shabab(away) | 2-0 | Professional League |
| Oct 23, 2016 | Fanja(away) | 1-1 | Professional League |
| Oct 19, 2016 | Al-Nahda(home) | 4-2 | Professional League |
| Oct 15, 2016 | Al Oruba(away) | 2-3 | Professional League |
| Oct 1, 2016 | Jaalan(home) | 3-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2016 | Al-Nahda(home) | 2-0 | Professional League |
| Oct 23, 2016 | Al Oruba(away) | 1-3 | Professional League |
| Oct 19, 2016 | Jaalan(home) | 2-2 | Professional League |
| Oct 15, 2016 | Al-Rustaq(away) | 1-2 | Professional League |
| Oct 1, 2016 | Al-Khabourah(home) | 1-2 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 2 Sohar win(s), 0 draw(s), 0 Muscat win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 11, 2016 | Sohar 1-0 Muscat | Professional League |
| Oct 28, 2015 | Muscat 2-4 Sohar | Professional League |
How many goals should we expect?
Sohar score 1.7 and concede 1.3 goals per match over their last 15; Muscat score 1.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sohar | 1.7 | 1.3 | 4 | 10/15 | 9/15 |
| Muscat | 1.4 | 1.4 | 4 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Sohar | 26 | 10 | 8 | 8 | 35 | 28 | 38 |
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