Al-Kawkab vs Al-Hazm: result 1-1 and analysis
Division 1Regular Season - 27Kick-off on March 22, 2021 at 12:55 PM (UTC)Al-Shoalah Club Stadium, Al Kharj
Full time
What was the result of Al-Kawkab vs Al-Hazm?
Al-Kawkab and Al-Hazm drew 1-1 on March 22, 2021.
Goalscorers
- 64′Saeed Mohammed Al DosariAl-Kawkab (pen.)
- 75′?Al-Hazm
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Kawkab have 7 wins, 2 draws and 6 defeats; Al-Hazm have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2021 | Al Sahel(away) | 3-1 | Division 1 |
| Mar 9, 2021 | Al-Adalah(away) | 1-0 | Division 1 |
| Mar 2, 2021 | Al Najoom(home) | 2-0 | Division 1 |
| Feb 25, 2021 | Al Bukayriyah(home) | 2-1 | Division 1 |
| Feb 21, 2021 | Najran(home) | 1-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2021 | Al-Thuqbah(home) | 4-0 | Division 1 |
| Mar 10, 2021 | Al Nahdha(home) | 1-1 | Division 1 |
| Mar 3, 2021 | Al Draih(home) | 2-0 | Division 1 |
| Feb 26, 2021 | Ohod(away) | 2-3 | Division 1 |
| Feb 22, 2021 | Al Khaleej Saihat(home) | 1-0 | Division 1 |
What does the head-to-head say?
Across the last 3 meetings: 0 Al-Kawkab wins, 1 draw, 2 Al-Hazm wins.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2020 | Al-Hazm 2-0 Al-Kawkab | Division 1 |
| Mar 21, 2018 | Al-Hazm 1-1 Al-Kawkab | Division 1 |
| Nov 22, 2017 | Al-Kawkab 0-1 Al-Hazm | Division 1 |
How many goals should we expect?
Al-Kawkab score 1.3 and concede 1.2 goals per match over their last 15; Al-Hazm score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Kawkab | 1.3 | 1.2 | 4 | 8/15 | 9/15 |
| Al-Hazm | 2.1 | 0.7 | 9 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Al-Kawkab vs Al-Hazm?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy