Al-Hazm vs Al-Qadisiyah FC: result 2-1 and analysis
Pro LeagueRegular Season - 6Kick-off on October 18, 2018 at 03:15 PM (UTC)Ar-Rass Stadium (Al Hazm Club Stadium), Rass
Full time
What was the result of Al-Hazm vs Al-Qadisiyah FC?
Al-Hazm won 2-1 on October 18, 2018.
Goalscorers
- 7′Mohammed Al SaiariAl-Hazm
- 47′Mohammed Al SaiariAl-Hazm
- 52′BismarkAl-Qadisiyah FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Hazm have 5 wins, 4 draws and 6 defeats; Al-Qadisiyah FC have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2018 | Al-Nassr(away) | 1-5 | Pro League |
| Sep 27, 2018 | Al-Faisaly FC(home) | 2-1 | Pro League |
| Sep 21, 2018 | Al-Ahli Jeddah(away) | 0-2 | Pro League |
| Sep 13, 2018 | Al Taawon(home) | 1-1 | Pro League |
| Aug 30, 2018 | Al Wehda Club(home) | 0-0 | Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Al Wehda Club(home) | 0-1 | Pro League |
| Sep 28, 2018 | Al-Fayha(away) | 2-4 | Pro League |
| Sep 19, 2018 | Al-Nassr(home) | 0-3 | Pro League |
| Sep 15, 2018 | Al-Ittihad FC(away) | 3-0 | Pro League |
| Aug 31, 2018 | Al-Fateh(home) | 0-0 | Pro League |
How many goals should we expect?
Al-Hazm score 1.3 and concede 1.5 goals per match over their last 15; Al-Qadisiyah FC score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Hazm | 1.3 | 1.5 | 4 | 9/15 | 7/15 |
| Al-Qadisiyah FC | 1.2 | 1.6 | 3 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al-Hazm sit 9th in Pro League (3 points from 2 matches) and Al-Qadisiyah FC sit 8th (3 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Al-Qadisiyah FC | 2 | 1 | 0 | 1 | 3 | 2 | 3 |
| 9 | Al-Hazm | 2 | 1 | 0 | 1 | 2 | 2 | 3 |
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