Al Qaisoma vs Al-Kawkab: result 1-2 and analysis
Division 1Regular Season - 33Kick-off on April 16, 2019 at 12:50 PM (UTC)Al-Batin FC Stadium, Hafar Al-Batin
Full time
What was the result of Al Qaisoma vs Al-Kawkab?
Al-Kawkab won 1-2 on April 16, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Qaisoma have 7 wins, 2 draws and 6 defeats; Al-Kawkab have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2019 | Hajer(home) | 2-1 | Division 1 |
| Apr 2, 2019 | Damac(home) | 2-2 | Division 1 |
| Mar 27, 2019 | Al Khaleej Saihat(away) | 2-3 | Division 1 |
| Mar 23, 2019 | Al Orubah(home) | 3-1 | Division 1 |
| Mar 20, 2019 | Al-Ansar(home) | 0-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2019 | Najran(home) | 1-2 | Division 1 |
| Apr 2, 2019 | Al Najoom(away) | 0-0 | Division 1 |
| Mar 27, 2019 | Al Nahdha(home) | 1-2 | Division 1 |
| Mar 19, 2019 | Jeddah Club(home) | 1-2 | Division 1 |
| Mar 13, 2019 | Al Jabalain(home) | 1-0 | Division 1 |
What does the head-to-head say?
Across the last 3 meetings: 0 Al Qaisoma wins, 0 draws, 3 Al-Kawkab wins.
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2018 | Al-Kawkab 2-1 Al Qaisoma | Division 1 |
| Mar 28, 2018 | Al-Kawkab 2-1 Al Qaisoma | Division 1 |
| Nov 29, 2017 | Al Qaisoma 4-6 Al-Kawkab | Division 1 |
Last archived meeting: Al-Kawkab vs Al Qaisoma on Nov 27, 2018
How many goals should we expect?
Al Qaisoma score 1.7 and concede 1.5 goals per match over their last 15; Al-Kawkab score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Qaisoma | 1.7 | 1.5 | 3 | 10/15 | 12/15 |
| Al-Kawkab | 1.3 | 1.6 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Al Qaisoma vs Al-Kawkab?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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