Al Musannah vs Saham: result 3-1 and analysis
Professional LeagueRegular Season - 14Kick-off on February 11, 2014 at 04:00 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Al Musannah vs Saham?
Al Musannah won 3-1 on February 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Musannah have 5 wins, 4 draws and 6 defeats; Saham have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2014 | Al Nasr(away) | 0-0 | Professional League |
| Dec 22, 2013 | Mjees(home) | 3-0 | Professional League |
| Dec 17, 2013 | Al Ittehad(away) | 1-1 | Professional League |
| Dec 12, 2013 | Fanja(home) | 1-1 | Professional League |
| Nov 28, 2013 | Sur(away) | 0-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2013 | Sohar(home) | 1-0 | Professional League |
| Dec 18, 2013 | Al-Nahda(away) | 1-0 | Professional League |
| Dec 13, 2013 | Al Oruba(home) | 1-1 | Professional League |
| Nov 30, 2013 | Al Shabab(away) | 1-1 | Professional League |
| Nov 7, 2013 | Al Nasr(away) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 3 meetings: 1 Al Musannah win(s), 0 draw(s), 2 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2013 | Saham 0-2 Al Musannah | Professional League |
| Mar 14, 2013 | Al Musannah 0-1 Saham | Professional League |
| Nov 26, 2012 | Saham 1-0 Al Musannah | Professional League |
How many goals should we expect?
Al Musannah score 1.0 and concede 1.2 goals per match over their last 15; Saham score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Musannah | 1.0 | 1.2 | 6 | 5/15 | 5/15 |
| Saham | 1.5 | 0.8 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Saham | 26 | 7 | 5 | 14 | 22 | 44 | 26 |
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