Sanat Naft vs Machine Sazi FC: result 3-0 and analysis
Persian Gulf Pro LeagueRegular Season - 9Kick-off on October 21, 2016 at 01:15 PM (UTC)Takhti Stadium, Abadan
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What was the result of Sanat Naft vs Machine Sazi FC?
Sanat Naft won 3-0 on October 21, 2016.
Goalscorers
- 56′H. BaghlaniSanat Naft (pen.)
- 75′H. NasariSanat Naft
- 90′30357Sanat Naft (o.g.)
What is the recent form of both teams?
Over their last 8 matches in all competitions, Sanat Naft have 2 wins, 4 draws and 2 defeats; Machine Sazi FC have 1, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2016 | Paykan(away) | 2-3 | Persian Gulf Pro League |
| Sep 21, 2016 | Padideh Khorasan(away) | 3-3 | Persian Gulf Pro League |
| Sep 15, 2016 | Esteghlal Khuzestan(home) | 1-1 | Persian Gulf Pro League |
| Sep 9, 2016 | Naft Tehran(away) | 1-2 | Persian Gulf Pro League |
| Aug 11, 2016 | Sepahan FC(home) | 1-0 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Esteghlal Khuzestan(home) | 1-3 | Persian Gulf Pro League |
| Sep 21, 2016 | Naft Tehran(away) | 1-2 | Persian Gulf Pro League |
| Sep 15, 2016 | Sepahan FC(home) | 0-1 | Persian Gulf Pro League |
| Sep 11, 2016 | Esteghlal FC(away) | 1-1 | Persian Gulf Pro League |
| Aug 11, 2016 | Tractor Sazi(home) | 0-2 | Persian Gulf Pro League |
How many goals should we expect?
Sanat Naft score 1.3 and concede 1.3 goals per match over their last 8; Machine Sazi FC score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sanat Naft | 1.3 | 1.3 | 3 | 5/8 | 4/8 |
| Machine Sazi FC | 0.8 | 1.4 | 1 | 5/8 | 3/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sanat Naft | 2 | 0 | 2 | 0 | 1 | 1 | 2 |
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