Al Shabab vs Al-Raed: result 1-2 and analysis
Pro LeagueRegular Season - 23Kick-off on April 13, 2017 at 05:45 PM (UTC)Prince Faisal bin Fahd Stadium, Riyadh
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What was the result of Al Shabab vs Al-Raed?
Al-Raed won 1-2 on April 13, 2017.
Goalscorers
- 48′Ismaël BangouraAl-Raed
- 67′Abdulkarim Al QahtaniAl-Raed
- 81′M. BenyettouAl Shabab
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shabab have 2 wins, 7 draws and 6 defeats; Al-Raed have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Al Wehda Club(away) | 2-1 | Pro League |
| Mar 11, 2017 | Al-Faisaly FC(home) | 1-2 | Pro League |
| Mar 4, 2017 | Al-Fateh(away) | 1-1 | Pro League |
| Feb 18, 2017 | Al-Ittihad FC(home) | 0-2 | Pro League |
| Feb 10, 2017 | Al Khaleej Saihat(home) | 1-1 | Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2017 | Al-Hilal Saudi FC(home) | 0-3 | Pro League |
| Mar 14, 2017 | Al-Nassr(home) | 0-1 | Pro League |
| Mar 2, 2017 | Al-Ettifaq(away) | 1-0 | Pro League |
| Feb 17, 2017 | Al-Faisaly FC(away) | 1-1 | Pro League |
| Feb 12, 2017 | Al Baten(home) | 2-1 | Pro League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al Shabab win(s), 1 draw(s), 0 Al-Raed win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2016 | Al-Raed 2-2 Al Shabab | Pro League |
How many goals should we expect?
Al Shabab score 0.9 and concede 1.5 goals per match over their last 15; Al-Raed score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shabab | 0.9 | 1.5 | 1 | 10/15 | 6/15 |
| Al-Raed | 1.3 | 1.7 | 2 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Al Shabab | 2 | 0 | 1 | 1 | 1 | 3 | 1 |
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