Al-Shabab vs Jaalan: result 1-0 and analysis
Professional LeagueRegular Season - 18Kick-off on March 19, 2017 at 02:45 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Shabab vs Jaalan?
Al-Shabab won 1-0 on March 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Shabab have 9 wins, 5 draws and 1 defeats; Jaalan have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2017 | Al-Rustaq(away) | 0-0 | Professional League |
| Feb 24, 2017 | Al-Khabourah(home) | 3-0 | Professional League |
| Feb 16, 2017 | Saham(away) | 3-1 | Professional League |
| Feb 3, 2017 | Al Nasr(home) | 3-2 | Professional League |
| Dec 2, 2016 | Dhofar(home) | 3-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2017 | Sohar(home) | 2-1 | Professional League |
| Feb 24, 2017 | Al-Nahda(away) | 0-2 | Professional League |
| Feb 17, 2017 | Al Oruba(home) | 0-1 | Professional League |
| Feb 5, 2017 | Fanja(away) | 1-1 | Professional League |
| Dec 2, 2016 | Al-Rustaq(home) | 2-1 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 1 Al-Shabab win(s), 0 draw(s), 0 Jaalan win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2016 | Jaalan 1-4 Al-Shabab | Professional League |
How many goals should we expect?
Al-Shabab score 1.7 and concede 0.8 goals per match over their last 15; Jaalan score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Shabab | 1.7 | 0.8 | 5 | 9/15 | 7/15 |
| Jaalan | 0.9 | 1.5 | 2 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Al-Shabab | 26 | 17 | 3 | 6 | 51 | 27 | 54 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy