Tractor Sazi vs Siah Jamegan: result 3-0 and analysis
Persian Gulf Pro LeagueRegular Season - 7Kick-off on September 20, 2016 at 12:15 PM (UTC)Bonyan Diesel Stadium, Tabriz
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What was the result of Tractor Sazi vs Siah Jamegan?
Tractor Sazi won 3-0 on September 20, 2016.
Goalscorers
- 3′Mohamad IranpourianTractor Sazi (pen.)
- 58′Farzad Jalal HatamiTractor Sazi
- 90′M. KianiTractor Sazi
What is the recent form of both teams?
Over their last 14 matches in all competitions, Tractor Sazi have 8 wins, 3 draws and 3 defeats; Siah Jamegan have 2, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2016 | ZOB Ahan(away) | 2-1 | Persian Gulf Pro League |
| Sep 10, 2016 | Persepolis FC(home) | 0-0 | Persian Gulf Pro League |
| Aug 11, 2016 | Machine Sazi FC(away) | 2-0 | Persian Gulf Pro League |
| Aug 7, 2016 | Paykan(home) | 3-1 | Persian Gulf Pro League |
| Aug 1, 2016 | Sanat Naft(away) | 0-0 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 5, 2016 | Saipa(home) | 0-2 | Persian Gulf Pro League |
| Jul 31, 2016 | Padideh Khorasan(away) | 1-1 | Persian Gulf Pro League |
How many goals should we expect?
Tractor Sazi score 1.6 and concede 0.9 goals per match over their last 14; Siah Jamegan score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tractor Sazi | 1.6 | 0.9 | 7 | 6/14 | 7/14 |
| Siah Jamegan | 1.2 | 1.2 | 1 | 4/6 | 2/6 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Tractor Sazi | 2 | 2 | 0 | 0 | 4 | 0 | 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