Al-Fayha vs Al Shabab: result 3-1 and analysis
Pro LeagueRegular Season - 11Kick-off on November 23, 2017 at 01:45 PM (UTC)Al Majma'ah Sports City Stadium, Al Majma'ah
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What was the result of Al-Fayha vs Al Shabab?
Al-Fayha won 3-1 on November 23, 2017.
Goalscorers
- 30′R. FernándezAl-Fayha
- 47′Hassan Muath FallatahAl-Fayha
- 49′Nasser Al ShamraniAl Shabab
- 79′Alexandros TziolisAl-Fayha
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Fayha have 4 wins, 6 draws and 5 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 |
|---|---|---|---|
| Nov 18, 2017 | Al-Fateh(home) | 1-3 | Pro League |
| Oct 31, 2017 | Al-Ahli Jeddah(away) | 1-1 | Pro League |
| Oct 25, 2017 | Al-Ettifaq(home) | 1-2 | Pro League |
| Oct 19, 2017 | Al-Qadisiyah FC(away) | 1-1 | Pro League |
| Oct 14, 2017 | Al-Faisaly FC(away) | 1-2 | Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2017 | Al-Ittihad FC(away) | 1-1 | Pro League |
| Nov 1, 2017 | Al-Hilal Saudi FC(away) | 1-1 | Pro League |
| Oct 27, 2017 | Al-Fateh(home) | 1-1 | Pro League |
| Oct 19, 2017 | Al-Raed(away) | 2-2 | Pro League |
| Oct 14, 2017 | Al-Ahli Jeddah(home) | 2-5 | Pro League |
How many goals should we expect?
Al-Fayha score 1.3 and concede 1.5 goals per match over their last 15; Al Shabab score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Fayha | 1.3 | 1.5 | 2 | 13/15 | 8/15 |
| Al Shabab | 1.3 | 1.5 | 2 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al-Fayha sit 15th 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 |
| 15 | Al-Fayha | 2 | 0 | 0 | 2 | 1 | 5 | 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