Al-Shabab vs Saham: result 1-0 and analysis
Professional LeagueRegular Season - 2Kick-off on September 23, 2016 at 01:30 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Shabab vs Saham?
Al-Shabab won 1-0 on September 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Shabab have 6 wins, 5 draws and 4 defeats; Saham have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2016 | Al Nasr(away) | 2-2 | Professional League |
| Apr 24, 2016 | Sur(home) | 3-1 | Professional League |
| Apr 20, 2016 | Salalah(away) | 4-0 | Professional League |
| Apr 9, 2016 | Sohar(home) | 3-2 | Professional League |
| Apr 3, 2016 | Al Oruba(away) | 0-3 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Sohar(home) | 1-1 | Professional League |
| Apr 24, 2016 | Al Nasr(away) | 2-3 | Professional League |
| Apr 20, 2016 | Fanja(home) | 1-2 | Professional League |
| Apr 10, 2016 | Muscat(away) | 2-1 | Professional League |
| Apr 2, 2016 | Al Suwaiq(away) | 1-3 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 1 Al-Shabab win(s), 1 draw(s), 0 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 27, 2016 | Saham 1-1 Al-Shabab | Professional League |
| Sep 21, 2015 | Al-Shabab 1-0 Saham | Professional League |
How many goals should we expect?
Al-Shabab score 1.2 and concede 1.1 goals per match over their last 15; Saham score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Shabab | 1.2 | 1.1 | 5 | 6/15 | 6/15 |
| Saham | 1.2 | 1.3 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al-Shabab sit 2nd in Professional League (54 points from 26 matches) and Saham sit 11th (26 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Al-Shabab | 26 | 17 | 3 | 6 | 51 | 27 | 54 |
| 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