Al Shamal vs Al-Gharafa: result 2-3 and analysis
Stars LeagueRegular Season - 10Kick-off on October 31, 2014 at 02:30 PM (UTC)Al-Khwar Stadium, Al-Khor
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What was the result of Al Shamal vs Al-Gharafa?
Al-Gharafa won 2-3 on October 31, 2014.
Goalscorers
- 9′Mark BrescianoAl-Gharafa
- 35′Mustafa AbdullaAl-Gharafa
- 79′Moayed HassanAl-Gharafa
- 83′Hamad FarajAl Shamal
- 89′Cho Yong-HyungAl Shamal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shamal have 5 wins, 4 draws and 6 defeats; Al-Gharafa have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2014 | Al-Khor(away) | 0-1 | Stars League |
| Oct 22, 2014 | Qatar SC(home) | 1-3 | Stars League |
| Oct 18, 2014 | Al-Sailiya(home) | 2-2 | Stars League |
| Oct 2, 2014 | Al Ahli Doha(home) | 0-1 | Stars League |
| Sep 26, 2014 | Al-Duhail SC(home) | 0-2 | Stars League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2014 | El Jaish SC(home) | 2-1 | Stars League |
| Oct 21, 2014 | Al Shahaniya(home) | 3-0 | Stars League |
| Oct 17, 2014 | Al-Khor(away) | 1-1 | Stars League |
| Oct 1, 2014 | Qatar SC(home) | 1-5 | Stars League |
| Sep 25, 2014 | Al-Sailiya(home) | 2-1 | Stars League |
How many goals should we expect?
Al Shamal score 1.5 and concede 1.5 goals per match over their last 15; Al-Gharafa score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shamal | 1.5 | 1.5 | 1 | 9/15 | 9/15 |
| Al-Gharafa | 1.4 | 1.1 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al Shamal sit 8th in Stars League (1 points from 1 matches) and Al-Gharafa sit 3rd (3 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Al-Gharafa | 1 | 1 | 0 | 0 | 2 | 1 | 3 |
| 8 | Al Shamal | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
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