Al Shabab vs Burgan: result 0-1 and analysis
Division 1Regular Season - 7Kick-off on November 4, 2017 at 02:30 PM (UTC)Al Shabab Mubarak Alaiar Stadium, Al Jahra
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What was the result of Al Shabab vs Burgan?
Burgan won 0-1 on November 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shabab have 6 wins, 1 draw and 8 defeats; Burgan 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 |
|---|---|---|---|
| Oct 28, 2017 | Al Sulaibikhat(away) | 1-4 | Division 1 |
| Oct 21, 2017 | Khaitan(home) | 1-0 | Division 1 |
| Oct 14, 2017 | Al Sahel(away) | 4-1 | Division 1 |
| Sep 30, 2017 | Yarmouk(home) | 1-3 | Division 1 |
| Sep 23, 2017 | Al Fahaheel(away) | 0-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Khaitan(home) | 4-0 | Division 1 |
| Oct 21, 2017 | Yarmouk(away) | 3-1 | Division 1 |
| Sep 30, 2017 | Al Sulaibikhat(home) | 2-2 | Division 1 |
| Sep 23, 2017 | Al Sahel(away) | 1-1 | Division 1 |
| Sep 16, 2017 | Al Fahaheel(home) | 0-2 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 Al Shabab wins, 0 draws, 0 Burgan wins.
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2017 | Al Shabab 1-0 Burgan | Premier League |
| Oct 2, 2016 | Burgan 1-5 Al Shabab | Premier League |
How many goals should we expect?
Al Shabab score 1.7 and concede 1.9 goals per match over their last 15; Burgan score 1.2 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shabab | 1.7 | 1.9 | 3 | 10/15 | 11/15 |
| Burgan | 1.2 | 2.4 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Burgan | 2 | 0 | 1 | 1 | 0 | 1 | 1 |
A question about Al Shabab vs Burgan?
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