Saham vs Al Musannah: result 0-2 and analysis
Professional LeagueRegular Season - 1Kick-off on September 15, 2013 at 04:10 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Al Musannah?
Al Musannah won 0-2 on September 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 7 wins, 5 draws and 3 defeats; Al Musannah 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 |
|---|---|---|---|
| May 19, 2013 | Oman Club(home) | 4-1 | Professional League |
| May 12, 2013 | Al Seeb(away) | 1-1 | Professional League |
| May 8, 2013 | Al Shabab(home) | 3-1 | Professional League |
| Apr 26, 2013 | Al Nasr(away) | 2-2 | Professional League |
| Apr 20, 2013 | Al-Nahda(home) | 0-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2013 | Al Suwaiq(home) | 2-4 | Professional League |
| May 12, 2013 | Oman Club(home) | 0-2 | Professional League |
| May 8, 2013 | Al Taleea(away) | 3-0 | Professional League |
| May 4, 2013 | Fanja(away) | 0-3 | Professional League |
| Apr 26, 2013 | Dhofar(home) | 3-0 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 2 Saham win(s), 0 draw(s), 0 Al Musannah win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Saham score 1.6 and concede 0.9 goals per match over their last 15; Al Musannah score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 1.6 | 0.9 | 6 | 7/15 | 7/15 |
| Al Musannah | 1.1 | 1.5 | 4 | 5/15 | 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