Al-Kawkab vs Al Qaisoma: result 2-1 and analysis
Division 1Regular Season - 27Kick-off on March 28, 2018 at 12:50 PM (UTC)Al-Shoalah Club Stadium, Al Kharj
Full time
What was the result of Al-Kawkab vs Al Qaisoma?
Al-Kawkab won 2-1 on March 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Kawkab have 9 wins, 2 draws and 4 defeats; Al Qaisoma have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2018 | Al-Hazm(away) | 1-1 | Division 1 |
| Mar 14, 2018 | Al-Watani(home) | 2-1 | Division 1 |
| Mar 7, 2018 | Damac(away) | 0-1 | Division 1 |
| Feb 28, 2018 | Al Najoom(home) | 2-0 | Division 1 |
| Feb 20, 2018 | Al Mojzel(home) | 4-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2018 | Al Taee(home) | 0-1 | Division 1 |
| Mar 17, 2018 | Al Wehda Club(away) | 3-2 | Division 1 |
| Mar 14, 2018 | Jeddah Club(away) | 1-1 | Division 1 |
| Mar 6, 2018 | Al Khaleej Saihat(home) | 2-0 | Division 1 |
| Feb 21, 2018 | Najran(home) | 0-3 | Division 1 |
What does the head-to-head say?
In the last meeting: 1 Al-Kawkab win, 0 draws, 0 Al Qaisoma wins.
| Date | Score | Competition |
|---|---|---|
| Nov 29, 2017 | Al Qaisoma 4-6 Al-Kawkab | Division 1 |
Last archived meeting: Al Qaisoma vs Al-Kawkab on Nov 29, 2017
How many goals should we expect?
Al-Kawkab score 1.5 and concede 0.9 goals per match over their last 15; Al Qaisoma score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Kawkab | 1.5 | 0.9 | 6 | 7/15 | 5/15 |
| Al Qaisoma | 1.8 | 1.7 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Al-Kawkab vs Al Qaisoma?
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