Al Musannah vs Saham: result 0-1 and analysis
Professional LeagueRegular Season - 19Kick-off on March 14, 2013 at 03:00 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al Musannah vs Saham?
Saham won 0-1 on March 14, 2013.
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 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2013 | Al Seeb(away) | 0-2 | Professional League |
| Feb 21, 2013 | Al Shabab(home) | 2-1 | Professional League |
| Feb 17, 2013 | Al Nasr(away) | 0-2 | Professional League |
| Feb 13, 2013 | Al-Nahda(home) | 1-1 | Professional League |
| Feb 9, 2013 | Al Oruba(away) | 2-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2013 | Al Taleea(home) | 0-2 | Professional League |
| Feb 21, 2013 | Dhofar(away) | 0-0 | Professional League |
| Feb 17, 2013 | Fanja(home) | 5-0 | Professional League |
| Feb 13, 2013 | Salalah(away) | 0-0 | Professional League |
| Feb 9, 2013 | Sur(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 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2012 | Saham 1-0 Al Musannah | Professional League |
How many goals should we expect?
Al Musannah score 0.9 and concede 1.1 goals per match over their last 15; Saham score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Musannah | 0.9 | 1.1 | 3 | 7/15 | 5/15 |
| Saham | 1.5 | 0.5 | 11 | 3/15 | 7/15 |
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