Sur vs Al Shabab: result 1-2 and analysis
Professional LeagueRegular Season - 16Kick-off on March 29, 2012 at 01:30 PM (UTC)Sur Sports Complex
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What was the result of Sur vs Al Shabab?
Al Shabab won 1-2 on March 29, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sur have 5 wins, 4 draws and 6 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 |
|---|---|---|---|
| Mar 22, 2012 | Al-Ahli / Sedab(away) | 2-1 | Professional League |
| Mar 16, 2012 | Al Oruba(home) | 0-2 | Professional League |
| Mar 9, 2012 | Salalah(away) | 0-1 | Professional League |
| Mar 2, 2012 | Al Taleea(home) | 0-1 | Professional League |
| Feb 9, 2012 | Al-Nahda(away) | 0-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2012 | Al Arabi(home) | 0-2 | Premier League |
| Mar 22, 2012 | Dhofar(away) | 1-1 | Professional League |
| Mar 17, 2012 | Oman Club(away) | 2-0 | Professional League |
| Mar 16, 2012 | Kazma(away) | 0-1 | Premier League |
| Mar 10, 2012 | Al Kuwait(away) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Sur win, 0 draws, 0 Al Shabab wins.
| Date | Score | Competition |
|---|---|---|
| Dec 28, 2011 | Al Shabab 0-1 Sur | Professional League |
How many goals should we expect?
Sur score 0.9 and concede 1.1 goals per match over their last 15; Al Shabab score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sur | 0.9 | 1.1 | 2 | 8/15 | 5/15 |
| Al Shabab | 0.7 | 1.1 | 3 | 6/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Sur | 4 | 0 | 0 | 4 | 3 | 9 | 0 |
A question about Sur vs Al Shabab?
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