Al-Sharq vs Al-Kawkab: result 0-0 and analysis
Division 2Group B - Round 10Kick-off on December 16, 2016 at 11:05 AM (UTC)
Full time
What was the result of Al-Sharq vs Al-Kawkab?
Al-Sharq and Al-Kawkab drew 0-0 on December 16, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Al-Sharq have 4 wins, 4 draws and 1 defeat; Al-Kawkab have 5, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | Al-Thuqbah(home) | 2-0 | Division 2 |
| Dec 2, 2016 | Al Najma(away) | 0-1 | Division 2 |
| Nov 26, 2016 | Al-Ansar(away) | 2-2 | Division 2 |
| Nov 19, 2016 | Al-Ain Atawlah(home) | 3-1 | Division 2 |
| Nov 12, 2016 | Al Riyadh(away) | 1-1 | Division 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | Al Najma(away) | 2-0 | Division 2 |
| Dec 2, 2016 | Al-Ansar(home) | 4-2 | Division 2 |
| Nov 26, 2016 | Al-Ain Atawlah(away) | 2-3 | Division 2 |
| Nov 18, 2016 | Al Riyadh(home) | 2-0 | Division 2 |
| Nov 12, 2016 | Al Badaya(away) | 1-1 | Division 2 |
What does the head-to-head say?
In the last meeting: 1 Al-Sharq win, 0 draws, 0 Al-Kawkab wins.
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2016 | Al-Kawkab 1-3 Al-Sharq | Division 2 |
Last archived meeting: Al-Kawkab vs Al-Sharq on Oct 15, 2016
How many goals should we expect?
Al-Sharq score 1.8 and concede 1.1 goals per match over their last 9; Al-Kawkab score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Sharq | 1.8 | 1.1 | 1 | 7/9 | 5/9 |
| Al-Kawkab | 1.7 | 1.0 | 5 | 4/9 | 3/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Al-Kawkab | 4 | 2 | 1 | 1 | 8 | 8 | 7 |
A question about Al-Sharq vs Al-Kawkab?
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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