Al Suwaiq vs Saham: result 1-2 and analysis
Professional LeagueRegular Season - 2Kick-off on September 21, 2013 at 03:50 PM (UTC)Al-Seeb Stadium, Seeb
Full time
What was the result of Al Suwaiq vs Saham?
Saham won 1-2 on September 21, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Suwaiq have 8 wins, 5 draws and 2 defeats; Saham have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2013 | Al Nasr(away) | 2-1 | Professional League |
| May 22, 2013 | Fanja(home) | 3-1 | Professional League |
| May 19, 2013 | Al Musannah(away) | 4-2 | Professional League |
| May 12, 2013 | Al Taleea(home) | 1-0 | Professional League |
| May 8, 2013 | Dhofar(away) | 3-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2013 | Al Musannah(home) | 0-2 | Professional League |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 1 Al Suwaiq win(s), 1 draw(s), 0 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 29, 2013 | Saham 1-1 Al Suwaiq | Professional League |
| Dec 7, 2012 | Al Suwaiq 2-1 Saham | Professional League |
How many goals should we expect?
Al Suwaiq score 1.3 and concede 0.9 goals per match over their last 15; Saham score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Suwaiq | 1.3 | 0.9 | 5 | 8/15 | 5/15 |
| Saham | 1.4 | 1.0 | 5 | 7/15 | 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