Al Shabab vs Sohar: result 1-1 and analysis
Professional LeagueRegular Season - 15Kick-off on February 18, 2014 at 04:00 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al Shabab vs Sohar?
Al Shabab and Sohar drew 1-1 on February 18, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shabab have 1 win, 5 draws and 9 defeats; Sohar have 2, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2014 | Al-Nahda(away) | 1-3 | Professional League |
| Feb 14, 2014 | Al Arabi(away) | 0-6 | Premier League |
| Feb 11, 2014 | Fanja(away) | 1-1 | Professional League |
| Feb 8, 2014 | Al Jahra(away) | 0-2 | Premier League |
| Feb 1, 2014 | Al Sulaibikhat(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2014 | Al-Nahda(home) | 2-1 | Professional League |
| Feb 5, 2014 | Al Oruba(home) | 0-1 | Professional League |
| Dec 22, 2013 | Saham(away) | 0-1 | Professional League |
| Dec 18, 2013 | Al Nasr(home) | 3-3 | Professional League |
| Dec 13, 2013 | Mjees(away) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Al Shabab wins, 0 draws, 1 Sohar win.
| Date | Score | Competition |
|---|---|---|
| Sep 20, 2013 | Sohar 2-1 Al Shabab | Professional League |
How many goals should we expect?
Al Shabab score 0.7 and concede 1.9 goals per match over their last 15; Sohar score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shabab | 0.7 | 1.9 | 2 | 8/15 | 7/15 |
| Sohar | 1.2 | 1.6 | 1 | 11/14 | 8/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Sohar | 4 | 1 | 2 | 1 | 2 | 4 | 5 |
A question about Al Shabab vs Sohar?
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