Al Sadd vs Al Shamal: prediction and stats
QSL CupGroup Stage - 3Kick-off on October 14, 2023 at 03:00 PM (UTC)Jassim Bin Hamad Stadium (Al-Sadd Stadium), Doha
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Sadd have 7 wins, 3 draws and 5 defeats; Al Shamal have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2023 | Nasaf(away) | 1-3 | AFC Champions League Elite |
| Sep 28, 2023 | Al-Gharafa(home) | 4-0 | Stars League |
| Sep 23, 2023 | Qatar SC(away) | 3-1 | Stars League |
| Sep 18, 2023 | Sharjah FC(home) | 0-0 | AFC Champions League Elite |
| Sep 15, 2023 | Al-Gharafa(home) | 0-1 | QFA Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Al-Markhiya(home) | 0-2 | QSL Cup |
| Sep 29, 2023 | UMM Salal(home) | 1-3 | Stars League |
| Sep 24, 2023 | Muaither SC(away) | 2-2 | Stars League |
| Sep 15, 2023 | Al-Khor(home) | 0-4 | QFA Cup |
| Sep 10, 2023 | Al-Duhail SC(away) | 1-2 | QSL Cup |
What does the head-to-head say?
Across the last 6 meetings: 4 Al Sadd win(s), 1 draw(s), 1 Al Shamal win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 17, 2023 | Al Shamal 1-3 Al Sadd | Stars League |
| Sep 6, 2022 | Al Sadd 1-2 Al Shamal | Stars League |
| Jan 18, 2022 | Al Shamal 1-5 Al Sadd | Stars League |
| Sep 26, 2021 | Al Sadd 7-2 Al Shamal | Stars League |
| Apr 16, 2015 | Al Sadd 2-0 Al Shamal | Stars League |
| Dec 10, 2014 | Al Shamal 2-2 Al Sadd | Stars League |
How many goals should we expect?
Al Sadd score 1.7 and concede 1.6 goals per match over their last 15; Al Shamal score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Sadd | 1.7 | 1.6 | 6 | 6/15 | 10/15 |
| Al Shamal | 1.3 | 2.5 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
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