Machine Sazi FC vs Paykan: result 1-4 and analysis
Persian Gulf Pro LeagueRegular Season - 10Kick-off on October 27, 2016 at 11:00 AM (UTC)Bonyan Diesel Stadium, Tabriz
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What was the result of Machine Sazi FC vs Paykan?
Paykan won 1-4 on October 27, 2016.
Goalscorers
- 7′A. GhaseminejadMachine Sazi FC (pen.)
- 10′G. MenshaPaykan
- 30′S. AshouriPaykan
- 62′30357Paykan (o.g.)
- 89′G. MenshaPaykan
What is the recent form of both teams?
Over their last 9 matches in all competitions, Machine Sazi FC have 1 wins, 3 draws and 5 defeats; Paykan have 2, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2016 | Sanat Naft(away) | 0-3 | Persian Gulf Pro League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2016 | Padideh Khorasan(away) | 0-0 | Persian Gulf Pro League |
| Oct 14, 2016 | Sanat Naft(home) | 3-2 | Persian Gulf Pro League |
| Sep 20, 2016 | Esteghlal Khuzestan(away) | 3-2 | Persian Gulf Pro League |
| Sep 15, 2016 | Naft Tehran(home) | 0-0 | Persian Gulf Pro League |
| Sep 10, 2016 | Sepahan FC(away) | 1-1 | Persian Gulf Pro League |
How many goals should we expect?
Machine Sazi FC score 0.7 and concede 1.6 goals per match over their last 9; Paykan score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Machine Sazi FC | 0.7 | 1.6 | 1 | 5/9 | 4/9 |
| Paykan | 1.1 | 1.1 | 3 | 6/9 | 3/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Paykan | 2 | 0 | 1 | 1 | 0 | 2 | 1 |
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