Fanja vs Al-Shabab: result 0-1 and analysis
Professional LeagueRegular Season - 9Kick-off on October 31, 2016 at 03:45 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Fanja vs Al-Shabab?
Al-Shabab won 0-1 on October 31, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanja have 7 wins, 3 draws and 5 defeats; Al-Shabab have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2016 | Saham(away) | 2-3 | Professional League |
| Oct 23, 2016 | Sohar(home) | 1-1 | Professional League |
| Oct 18, 2016 | Al Nasr(away) | 0-2 | Professional League |
| Oct 14, 2016 | Al-Nahda(home) | 2-2 | Professional League |
| Sep 30, 2016 | Dhofar(away) | 0-3 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2016 | Sohar(home) | 0-2 | Professional League |
| Oct 23, 2016 | Al-Nahda(away) | 1-1 | Professional League |
| Oct 19, 2016 | Al Oruba(home) | 2-1 | Professional League |
| Oct 15, 2016 | Jaalan(away) | 4-1 | Professional League |
| Oct 1, 2016 | Al-Rustaq(home) | 1-1 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 2 Fanja win(s), 0 draw(s), 0 Al-Shabab win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 11, 2016 | Al-Shabab 0-1 Fanja | Professional League |
| Oct 30, 2015 | Fanja 3-1 Al-Shabab | Professional League |
How many goals should we expect?
Fanja score 1.8 and concede 1.5 goals per match over their last 15; Al-Shabab score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanja | 1.8 | 1.5 | 4 | 9/15 | 10/15 |
| Al-Shabab | 1.6 | 1.3 | 2 | 9/15 | 9/15 |
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