Al Shabab vs Al Seeb: result 2-1 and analysis
Professional LeagueRegular Season - 23Kick-off on April 26, 2013 at 12:45 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al Shabab vs Al Seeb?
Al Shabab won 2-1 on April 26, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shabab have 4 wins, 3 draws and 8 defeats; Al Seeb have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | Oman Club(away) | 3-0 | Professional League |
| Apr 13, 2013 | Al Nasr(away) | 1-2 | Professional League |
| Mar 29, 2013 | Al-Nahda(home) | 1-0 | Professional League |
| Mar 17, 2013 | Al Oruba(away) | 0-2 | Professional League |
| Mar 3, 2013 | Al Suwaiq(home) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | Al Nasr(home) | 1-3 | Professional League |
| Apr 12, 2013 | Al-Nahda(away) | 1-2 | Professional League |
| Mar 29, 2013 | Al Oruba(home) | 0-0 | Professional League |
| Mar 14, 2013 | Al Suwaiq(away) | 0-1 | Professional League |
| Mar 1, 2013 | Al Musannah(home) | 2-0 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al Shabab win(s), 0 draw(s), 1 Al Seeb win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 14, 2013 | Al Seeb 3-0 Al Shabab | Professional League |
How many goals should we expect?
Al Shabab score 0.7 and concede 1.2 goals per match over their last 15; Al Seeb score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shabab | 0.7 | 1.2 | 5 | 4/15 | 6/15 |
| Al Seeb | 1.1 | 1.1 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Al Seeb | 26 | 21 | 4 | 1 | 59 | 14 | 67 |
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