Al Shabab vs Al Jahra: result 1-1 and analysis
Premier LeagueMatchday 5Kick-off on January 28, 2012 at 01:30 PM (UTC)Al Ahmadi Stadium, Al Ahmadi
Full time
What was the result of Al Shabab vs Al Jahra?
Al Shabab and Al Jahra drew 1-1 on January 28, 2012.
Goalscorers
- 6′Fahad BajeaAl Jahra
- 56′António José Da Silveira JúniorAl Shabab (pen.)
What is the recent form of both teams?
Over their last 13 matches in all competitions, Al Shabab have 6 wins, 2 draws and 5 defeats; Al Jahra have 2, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2012 | Al-Nahda(away) | 2-1 | Professional League |
| Jan 23, 2012 | Al-Ahli / Sedab(home) | 0-2 | Professional League |
| Jan 21, 2012 | Al Arabi(away) | 0-2 | Premier League |
| Jan 18, 2012 | Al Oruba(away) | 0-0 | Professional League |
| Jan 14, 2012 | Kazma(home) | 2-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 20, 2012 | Al Qadsia(home) | 0-2 | Premier League |
| Jan 13, 2012 | Al Kuwait(away) | 1-3 | Premier League |
| Jan 7, 2012 | Al Arabi(away) | 1-0 | Premier League |
| Dec 30, 2011 | Al Salmiyah(home) | 2-0 | Premier League |
How many goals should we expect?
Al Shabab score 1.1 and concede 1.0 goals per match over their last 13; Al Jahra score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shabab | 1.1 | 1.0 | 5 | 4/13 | 4/13 |
| Al Jahra | 1.0 | 1.3 | 2 | 1/4 | 1/4 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Al Shabab sit 8th in Premier League (8 points from 8 matches) and Al Jahra sit 9th (7 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Al Shabab | 8 | 2 | 2 | 4 | 11 | 17 | 8 |
| 9 | Al Jahra | 8 | 2 | 1 | 5 | 8 | 9 | 7 |
A question about Al Shabab vs Al Jahra?
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