Al-Kawkab vs Al-Qadisiyah FC: result 3-5 and analysis
Division 1Regular Season - 23Kick-off on February 5, 2020 at 12:35 PM (UTC)Al-Shoalah Club Stadium, Al Kharj
Full time
What was the result of Al-Kawkab vs Al-Qadisiyah FC?
Al-Qadisiyah FC won 3-5 on February 5, 2020.
Goalscorers
- 2′?Al-Qadisiyah FC
- 15′?Al-Kawkab
- 49′?Al-Qadisiyah FC (pen.)
- 74′?Al-Kawkab
- 82′?Al-Kawkab
- 88′?Al-Qadisiyah FC
- 90′?Al-Qadisiyah FC
- 90′?Al-Qadisiyah FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Kawkab have 3 wins, 5 draws and 7 defeats; Al-Qadisiyah FC have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2020 | Al Jeel(away) | 0-1 | Division 1 |
| Jan 22, 2020 | Al Taee(home) | 1-0 | Division 1 |
| Jan 15, 2020 | Al Baten(away) | 1-1 | Division 1 |
| Jan 7, 2020 | Hetten FC(away) | 0-2 | Division 1 |
| Dec 31, 2019 | Al Mojzel(away) | 2-0 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2020 | Al Bukayriyah(home) | 1-1 | Division 1 |
| Jan 21, 2020 | Al Taqdom(away) | 3-1 | Division 1 |
| Jan 15, 2020 | Al-Ansar(home) | 6-0 | Division 1 |
| Jan 11, 2020 | Al Baten(away) | 0-1 | Division 1 |
| Jan 7, 2020 | Al Jeel(away) | 2-2 | Division 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Al-Kawkab win(s), 0 draw(s), 1 Al-Qadisiyah FC win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2019 | Al-Qadisiyah FC 1-0 Al-Kawkab | Division 1 |
Last archived meeting: Al-Qadisiyah FC vs Al-Kawkab on Sep 10, 2019
How many goals should we expect?
Al-Kawkab score 0.7 and concede 1.1 goals per match over their last 15; Al-Qadisiyah FC score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Kawkab | 0.7 | 1.1 | 5 | 5/15 | 3/15 |
| Al-Qadisiyah FC | 1.5 | 0.8 | 6 | 7/15 | 6/15 |
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