Persepolis FC vs Naft Tehran: result 3-0 and analysis
Persian Gulf Pro LeagueRegular Season - 8Kick-off on October 15, 2016 at 02:30 PM (UTC)Azadi Stadium, Teheran
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What was the result of Persepolis FC vs Naft Tehran?
Persepolis FC won 3-0 on October 15, 2016.
Goalscorers
- 14′H. MahiniPersepolis FC (pen.)
- 30′M. TaremiPersepolis FC
- 82′K. KamyabiniaPersepolis FC
What is the recent form of both teams?
Over their last 7 matches in all competitions, Persepolis FC have 4 wins, 3 draws and 0 defeats; Naft Tehran have 3, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Sepahan FC(away) | 3-1 | Persian Gulf Pro League |
| Sep 16, 2016 | Esteghlal FC(home) | 0-0 | Persian Gulf Pro League |
| Sep 10, 2016 | Tractor Sazi(away) | 0-0 | Persian Gulf Pro League |
| Aug 11, 2016 | Saba Qom(home) | 1-0 | Persian Gulf Pro League |
| Aug 6, 2016 | Gostaresh(away) | 1-0 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Machine Sazi FC(home) | 2-1 | Persian Gulf Pro League |
| Sep 15, 2016 | Paykan(away) | 0-0 | Persian Gulf Pro League |
| Sep 9, 2016 | Sanat Naft(home) | 2-1 | Persian Gulf Pro League |
| Aug 11, 2016 | Esteghlal Khuzestan(away) | 2-2 | Persian Gulf Pro League |
| Aug 6, 2016 | Padideh Khorasan(home) | 3-0 | Persian Gulf Pro League |
How many goals should we expect?
Persepolis FC score 1.0 and concede 0.3 goals per match over their last 7; Naft Tehran score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Persepolis FC | 1.0 | 0.3 | 5 | 2/7 | 1/7 |
| Naft Tehran | 1.3 | 1.0 | 2 | 4/8 | 4/8 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Persepolis FC | 2 | 2 | 0 | 0 | 6 | 1 | 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