Al Shabab vs Saham: result 1-1 and analysis
Professional LeagueRegular Season - 9Kick-off on November 30, 2013 at 12:30 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al Shabab vs Saham?
Al Shabab and Saham drew 1-1 on November 30, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shabab have 4 wins, 5 draws and 6 defeats; Saham have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2013 | Al Sahel(home) | 0-0 | Premier League |
| Nov 23, 2013 | Kazma(away) | 1-3 | Premier League |
| Nov 7, 2013 | Al Suwaiq(away) | 1-2 | Professional League |
| Nov 3, 2013 | Al Nasr(home) | 4-0 | Professional League |
| Nov 1, 2013 | Al Fahaheel(home) | 3-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2013 | Al Nasr(away) | 1-0 | Professional League |
| Nov 2, 2013 | Mjees(home) | 2-1 | Professional League |
| Oct 25, 2013 | Al Ittehad(away) | 3-1 | Professional League |
| Oct 20, 2013 | Fanja(home) | 0-0 | Professional League |
| Oct 5, 2013 | Sur(away) | 1-2 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 0 Al Shabab wins, 1 draw, 1 Saham win.
| Date | Score | Competition |
|---|---|---|
| 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?
Al Shabab score 1.1 and concede 1.0 goals per match over their last 15; Saham score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shabab | 1.1 | 1.0 | 7 | 6/15 | 8/15 |
| Saham | 1.5 | 1.1 | 3 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Saham | 6 | 3 | 0 | 3 | 5 | 6 | 9 |
A question about Al Shabab vs Saham?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy