Saham vs Al Shabab: result 3-1 and analysis
Professional LeagueRegular Season - 22Kick-off on April 12, 2014 at 04:30 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Al Shabab?
Saham won 3-1 on April 12, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 5 wins, 5 draws and 5 defeats; Al Shabab have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2014 | Al Nasr(home) | 2-2 | Professional League |
| Mar 29, 2014 | Mjees(away) | 3-0 | Professional League |
| Mar 23, 2014 | Al Ittehad(home) | 1-1 | Professional League |
| Mar 15, 2014 | Fanja(away) | 2-3 | Professional League |
| Mar 8, 2014 | Sur(home) | 1-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2014 | Al Tadhamon(home) | 0-0 | Premier League |
| Apr 5, 2014 | Al Suwaiq(home) | 2-2 | Professional League |
| Apr 4, 2014 | Al Sahel(away) | 4-3 | Premier League |
| Mar 29, 2014 | Al Nasr(away) | 0-3 | Professional League |
| Mar 29, 2014 | Kazma(home) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 1 Saham win(s), 2 draw(s), 0 Al Shabab win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 30, 2013 | Al Shabab 1-1 Saham | Professional League |
| May 8, 2013 | Saham 3-1 Al Shabab | Professional League |
| Jan 21, 2013 | Al Shabab 0-0 Saham | Professional League |
How many goals should we expect?
Saham score 1.3 and concede 1.2 goals per match over their last 15; Al Shabab score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 1.3 | 1.2 | 4 | 9/15 | 7/15 |
| Al Shabab | 1.4 | 1.9 | 2 | 10/15 | 10/15 |
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