Al-Gharafa vs ZOB Ahan: result 2-3 and analysis
AFC Champions League ElitePlay-offsKick-off on February 19, 2019 at 03:00 PM (UTC)Thani Bin Jassim Stadium (Al-Gharafah Stadium), Doha
Full time
What was the result of Al-Gharafa vs ZOB Ahan?
ZOB Ahan won 2-3 on February 19, 2019.
Goalscorers
- 21′Ahmed AlaaAl-Gharafa
- 36′M. TaremiAl-Gharafa
- 47′?ZOB Ahan
- 63′A. MotahariZOB Ahan
- 79′M. NejadmahdiZOB Ahan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Gharafa have 5 wins, 3 draws and 7 defeats; ZOB Ahan have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2019 | UMM Salal(away) | 1-2 | Stars League |
| Dec 6, 2018 | Al Ahli Doha(home) | 1-3 | Stars League |
| Dec 2, 2018 | Al Sadd(home) | 1-8 | Stars League |
| Nov 24, 2018 | Al-Sailiya(away) | 1-2 | Stars League |
| Nov 8, 2018 | Qatar SC(away) | 2-0 | Stars League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2019 | Al Kuwait(home) | 1-0 | AFC Champions League Elite |
| Feb 5, 2019 | Nassaji Mazandaran(home) | 0-0 | Persian Gulf Pro League |
| Dec 12, 2018 | Naft Masjed Soleyman(home) | 0-0 | Persian Gulf Pro League |
| Dec 4, 2018 | Persepolis FC(away) | 0-1 | Persian Gulf Pro League |
| Nov 28, 2018 | Foolad FC(away) | 1-1 | Persian Gulf Pro League |
How many goals should we expect?
Al-Gharafa score 1.8 and concede 1.8 goals per match over their last 15; ZOB Ahan score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Gharafa | 1.8 | 1.8 | 5 | 9/15 | 10/15 |
| ZOB Ahan | 0.7 | 1.2 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Al-Gharafa | 8 | 2 | 0 | 6 | 7 | 21 | 6 |
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