Al-Faisaly FC vs Al Shabab: result 0-1 and analysis
Pro LeagueRegular Season - 8Kick-off on November 3, 2016 at 01:55 PM (UTC)Al Majma'ah Sports City Stadium, Al Majma'ah
Full time
What was the result of Al-Faisaly FC vs Al Shabab?
Al Shabab won 0-1 on November 3, 2016.
Goalscorers
- 90′Ismael Mohammedjammui Al MaghrabiAl Shabab
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Faisaly FC have 4 wins, 5 draws and 6 defeats; Al Shabab have 4, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Al-Nassr(home) | 1-2 | Pro League |
| Oct 21, 2016 | Al-Raed(away) | 0-1 | Pro League |
| Oct 15, 2016 | Al-Hilal Saudi FC(away) | 0-4 | Pro League |
| Sep 23, 2016 | Al Wehda Club(home) | 2-1 | Pro League |
| Sep 17, 2016 | Al-Fateh(home) | 0-0 | Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Al-Fateh(home) | 2-0 | Pro League |
| Oct 20, 2016 | Al-Ittihad FC(away) | 1-0 | Pro League |
| Oct 14, 2016 | Al Khaleej Saihat(away) | 2-1 | Pro League |
| Sep 23, 2016 | Al Taawon(home) | 2-2 | Pro League |
| Sep 18, 2016 | Al-Ahli Jeddah(home) | 3-2 | Pro League |
How many goals should we expect?
Al-Faisaly FC score 0.9 and concede 1.3 goals per match over their last 15; Al Shabab score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Faisaly FC | 0.9 | 1.3 | 4 | 6/15 | 7/15 |
| Al Shabab | 1.4 | 0.9 | 3 | 3/7 | 3/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al-Faisaly FC sit 14th in Pro League (0 points from 2 matches) and Al Shabab sit 13th (1 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Al Shabab | 2 | 0 | 1 | 1 | 1 | 3 | 1 |
| 14 | Al-Faisaly FC | 2 | 0 | 0 | 2 | 2 | 6 | 0 |
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