Al Shabab vs Yarmouk: result 1-2 and analysis
Premier LeagueRegular Season - 20Kick-off on March 14, 2014 at 04:55 PM (UTC)Al Ahmadi Stadium, Al Ahmadi
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What was the result of Al Shabab vs Yarmouk?
Yarmouk won 1-2 on March 14, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shabab have 3 wins, 4 draws and 8 defeats; Yarmouk have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 14, 2014 | Mjees(away) | 3-3 | Professional League |
| Mar 8, 2014 | Al Nasar(away) | 1-3 | Premier League |
| Mar 8, 2014 | Al Seeb(away) | 2-0 | Professional League |
| Feb 22, 2014 | Al Ittehad(away) | 3-2 | Professional League |
| Feb 21, 2014 | Al Qadsia(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2014 | Al Sahel(home) | 1-0 | Premier League |
| Feb 21, 2014 | Al Nasar(home) | 0-2 | Premier League |
| Feb 18, 2014 | Al Kuwait(home) | 0-2 | Premier League |
| Jan 30, 2014 | Al Jahra(away) | 0-1 | Premier League |
| Jan 25, 2014 | Al Salmiyah(home) | 3-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Al Shabab wins, 1 draw, 0 Yarmouk wins.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2013 | Yarmouk 0-0 Al Shabab | Premier League |
How many goals should we expect?
Al Shabab score 1.1 and concede 2.1 goals per match over their last 15; Yarmouk score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shabab | 1.1 | 2.1 | 1 | 9/15 | 8/15 |
| Yarmouk | 0.7 | 1.4 | 4 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al Shabab | 4 | 2 | 1 | 1 | 8 | 6 | 7 |
A question about Al Shabab vs Yarmouk?
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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