Al-Shabab vs Al Nasr: result 1-1 and analysis
Professional LeagueRegular Season - 7Kick-off on November 23, 2015 at 12:30 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Shabab vs Al Nasr?
Al-Shabab and Al Nasr drew 1-1 on November 23, 2015.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Al-Shabab have 1 win, 1 draw and 4 defeats; Al Nasr 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 |
|---|---|---|---|
| Oct 30, 2015 | Fanja(away) | 1-3 | Professional League |
| Oct 22, 2015 | Muscat(home) | 2-2 | Professional League |
| Oct 18, 2015 | Al Suwaiq(away) | 1-3 | Professional League |
| Sep 21, 2015 | Saham(home) | 1-0 | Professional League |
| Sep 17, 2015 | Al-Musannah(away) | 0-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2015 | Emirates Club(away) | 1-2 | League Cup |
| Oct 27, 2015 | Al-Nahda(home) | 0-0 | Professional League |
| Oct 23, 2015 | Al-Khabourah(away) | 1-1 | Professional League |
| Oct 18, 2015 | Al Oruba(home) | 1-3 | Professional League |
| Oct 10, 2015 | Shabab Al Ahli Dubai(away) | 0-2 | League Cup |
How many goals should we expect?
Al-Shabab score 0.8 and concede 2.0 goals per match over their last 6; Al Nasr score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Shabab | 0.8 | 2.0 | 1 | 3/6 | 3/6 |
| Al Nasr | 1.1 | 1.3 | 3 | 9/15 | 8/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Al-Shabab sit 3rd in Professional League (9 points from 4 matches) and Al Nasr sit 1st (12 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al Nasr | 4 | 4 | 0 | 0 | 7 | 1 | 12 |
| 3 | Al-Shabab | 4 | 3 | 0 | 1 | 12 | 5 | 9 |
A question about Al-Shabab vs Al Nasr?
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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