Busaiteen vs Al Shabab: result 1-2 and analysis
Premier LeagueRegular Season - 7Kick-off on February 6, 2020 at 01:50 PM (UTC)Madinat 'Isa Stadium, Manama
Full time
What was the result of Busaiteen vs Al Shabab?
Al Shabab won 1-2 on February 6, 2020.
Goalscorers
- 62′Sayed Ali IssaAl Shabab (pen.)
- 80′Hassan MadanAl Shabab (pen.)
- 90′Saeed RashedBusaiteen
What is the recent form of both teams?
Over their last 10 matches in all competitions, Busaiteen have 2 wins, 4 draws and 4 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 |
|---|---|---|---|
| Jan 25, 2020 | Manama(home) | 0-2 | Federation Cup |
| Jan 20, 2020 | Al Najma(away) | 1-2 | Premier League |
| Dec 22, 2019 | Al Hala(home) | 0-0 | Premier League |
| Dec 18, 2019 | Manama(away) | 1-3 | Federation Cup |
| Dec 13, 2019 | Al Ahli(away) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2020 | Al-Hidd(away) | 1-3 | Federation Cup |
| Jan 21, 2020 | Al Hala(away) | 0-5 | Premier League |
| Dec 23, 2019 | Al Riffa(away) | 1-3 | Premier League |
| Dec 19, 2019 | Al-Hidd(home) | 1-1 | Federation Cup |
| Dec 14, 2019 | Manama(away) | 0-0 | Premier League |
How many goals should we expect?
Busaiteen score 1.1 and concede 1.5 goals per match over their last 10; Al Shabab score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Busaiteen | 1.1 | 1.5 | 2 | 7/10 | 6/10 |
| Al Shabab | 1.1 | 2.0 | 3 | 8/15 | 7/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Al Shabab | 22 | 3 | 5 | 14 | 8 | 34 | 14 |
A question about Busaiteen 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