Al-Musannah vs Sohar: result 2-1 and analysis
Professional LeagueRegular Season - 16Kick-off on January 26, 2016 at 03:00 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Musannah vs Sohar?
Al-Musannah won 2-1 on January 26, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Musannah have 6 wins, 3 draws and 6 defeats; Sohar have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2016 | Al-Shabab(away) | 0-1 | Professional League |
| Jan 18, 2016 | Al-Nahda(home) | 3-1 | Professional League |
| Dec 25, 2015 | Al-Khabourah(home) | 1-0 | Professional League |
| Dec 17, 2015 | Al Nasr(away) | 0-1 | Professional League |
| Dec 10, 2015 | Fanja(home) | 0-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2016 | Dhofar(home) | 3-3 | Professional League |
| Jan 18, 2016 | Sur(away) | 1-2 | Professional League |
| Dec 26, 2015 | Salalah(away) | 0-0 | Professional League |
| Dec 18, 2015 | Al Oruba(home) | 0-1 | Professional League |
| Dec 11, 2015 | Al-Shabab(home) | 2-1 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al-Musannah win(s), 0 draw(s), 1 Sohar win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2015 | Sohar 1-0 Al-Musannah | Professional League |
How many goals should we expect?
Al-Musannah score 0.9 and concede 0.7 goals per match over their last 15; Sohar score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Musannah | 0.9 | 0.7 | 5 | 5/15 | 3/15 |
| Sohar | 1.3 | 1.0 | 5 | 9/15 | 6/15 |
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