Naft Masjed Soleyman vs Sepahan FC: result 0-2 and analysis
Persian Gulf Pro LeagueRegular Season - 8Kick-off on September 27, 2018 at 05:00 PM (UTC)Behnam Mohammadi Stadium, Masjed Soleyman
Full time
What was the result of Naft Masjed Soleyman vs Sepahan FC?
Sepahan FC won 0-2 on September 27, 2018.
Goalscorers
- 28′KirosSepahan FC
- 76′KirosSepahan FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naft Masjed Soleyman have 4 wins, 6 draws and 5 defeats; Sepahan FC have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Saipa(away) | 1-2 | Persian Gulf Pro League |
| Aug 23, 2018 | Nassaji Mazandaran(away) | 0-1 | Persian Gulf Pro League |
| Aug 17, 2018 | Persepolis FC(away) | 0-0 | Persian Gulf Pro League |
| Aug 10, 2018 | Foolad FC(home) | 0-0 | Persian Gulf Pro League |
| Aug 2, 2018 | Pars Jonoubi JAM(away) | 0-2 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2018 | Foolad FC(home) | 3-1 | Persian Gulf Pro League |
| Sep 14, 2018 | Shahrdari Mahshahr(home) | 3-1 | Hazfi Cup |
| Aug 30, 2018 | Pars Jonoubi JAM(away) | 2-2 | Persian Gulf Pro League |
| Aug 24, 2018 | Tractor Sazi(home) | 2-2 | Persian Gulf Pro League |
| Aug 17, 2018 | ZOB Ahan(away) | 2-1 | Persian Gulf Pro League |
How many goals should we expect?
Naft Masjed Soleyman score 0.9 and concede 0.9 goals per match over their last 15; Sepahan FC score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naft Masjed Soleyman | 0.9 | 0.9 | 6 | 6/15 | 6/15 |
| Sepahan FC | 1.9 | 1.0 | 4 | 9/15 | 8/15 |
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 | 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