Al Shabab vs Burgan: result 1-0 and analysis
Premier LeagueRegular Season - 17Kick-off on March 18, 2017 at 02:10 PM (UTC)Al Ahmadi Stadium, Al Ahmadi
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What was the result of Al Shabab vs Burgan?
Al Shabab won 1-0 on March 18, 2017.
Goalscorers
- 49′Ibrahim Al AzmiAl Shabab
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shabab have 1 win, 9 draws and 5 defeats; Burgan have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 14, 2017 | Al Tadhamon(away) | 2-2 | Premier League |
| Mar 10, 2017 | Al Arabi(away) | 1-4 | Premier League |
| Mar 5, 2017 | Al Sahel(home) | 1-1 | Premier League |
| Mar 1, 2017 | Khaitan(away) | 1-1 | Premier League |
| Feb 26, 2017 | Al Kuwait(home) | 0-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 14, 2017 | Al Nasar(home) | 2-6 | Premier League |
| Mar 10, 2017 | Kazma(away) | 0-3 | Premier League |
| Mar 5, 2017 | Al Jahra(home) | 0-2 | Premier League |
| Feb 23, 2017 | Al Tadhamon(away) | 0-2 | Premier League |
| Jan 7, 2017 | Al Arabi(away) | 1-2 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Al Shabab win, 0 draws, 0 Burgan wins.
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2016 | Burgan 1-5 Al Shabab | Premier League |
How many goals should we expect?
Al Shabab score 1.0 and concede 1.3 goals per match over their last 15; Burgan score 0.9 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shabab | 1.0 | 1.3 | 3 | 10/15 | 6/15 |
| Burgan | 0.9 | 3.5 | 1 | 7/15 | 11/15 |
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 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