Sepahan FC vs Siah Jamegan: result 2-1 and analysis
Persian Gulf Pro LeagueRegular Season - 9Kick-off on October 21, 2016 at 12:00 PM (UTC)Naghsh-e-Jahan Stadium, Isfahan
Full time
What was the result of Sepahan FC vs Siah Jamegan?
Sepahan FC won 2-1 on October 21, 2016.
Goalscorers
- 10′E. HajisafiSepahan FC
- 49′J. AlimohammadiSepahan FC
- 73′30118Siah Jamegan
What is the recent form of both teams?
Over their last 14 matches in all competitions, Sepahan FC have 4 wins, 1 draws and 9 defeats; Siah Jamegan have 2, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | ZOB Ahan(away) | 0-2 | Persian Gulf Pro League |
| Sep 21, 2016 | Persepolis FC(home) | 1-3 | Persian Gulf Pro League |
| Sep 15, 2016 | Machine Sazi FC(away) | 1-0 | Persian Gulf Pro League |
| Sep 10, 2016 | Paykan(home) | 1-1 | Persian Gulf Pro League |
| Aug 11, 2016 | Sanat Naft(away) | 0-1 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Esteghlal FC(home) | 0-1 | Persian Gulf Pro League |
| Sep 20, 2016 | Tractor Sazi(away) | 0-3 | Persian Gulf Pro League |
| Sep 15, 2016 | Saba Qom(home) | 2-2 | Persian Gulf Pro League |
| Sep 9, 2016 | Gostaresh(away) | 1-0 | Persian Gulf Pro League |
| Aug 12, 2016 | Foolad FC(home) | 1-1 | Persian Gulf Pro League |
How many goals should we expect?
Sepahan FC score 0.6 and concede 1.4 goals per match over their last 14; Siah Jamegan score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sepahan FC | 0.6 | 1.4 | 3 | 3/14 | 3/14 |
| Siah Jamegan | 0.9 | 1.4 | 1 | 4/8 | 3/8 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Sepahan FC | 3 | 1 | 0 | 2 | 2 | 4 | 3 |
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