Tractor Sazi vs Padideh Khorasan: result 1-1 and analysis
Persian Gulf Pro LeagueRegular Season - 12Kick-off on December 2, 2016 at 10:30 AM (UTC)Bonyan Diesel Stadium, Tabriz
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What was the result of Tractor Sazi vs Padideh Khorasan?
Tractor Sazi and Padideh Khorasan drew 1-1 on December 2, 2016.
Goalscorers
- 38′Farzad Jalal HatamiTractor Sazi
- 61′30084Padideh Khorasan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tractor Sazi have 9 wins, 5 draws and 1 defeats; Padideh Khorasan have 4, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2016 | Saba Qom(home) | 2-1 | Persian Gulf Pro League |
| Nov 18, 2016 | AS Bargh Shiraz(home) | 2-0 | Hazfi Cup |
| Oct 31, 2016 | Malavan(away) | 1-0 | Hazfi Cup |
| Oct 27, 2016 | Gostaresh(away) | 2-0 | Persian Gulf Pro League |
| Oct 20, 2016 | Foolad FC(home) | 2-2 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2016 | Machine Sazi FC(home) | 1-0 | Persian Gulf Pro League |
| Nov 4, 2016 | Naft Masjed Soleyman(home) | 1-0 | Hazfi Cup |
| Oct 27, 2016 | Saba Qom(away) | 3-2 | Persian Gulf Pro League |
| Oct 21, 2016 | Paykan(home) | 0-0 | Persian Gulf Pro League |
| Oct 16, 2016 | Gostaresh(away) | 0-3 | Persian Gulf Pro League |
How many goals should we expect?
Tractor Sazi score 1.7 and concede 0.8 goals per match over their last 15; Padideh Khorasan score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tractor Sazi | 1.7 | 0.8 | 8 | 7/15 | 8/15 |
| Padideh Khorasan | 0.9 | 1.2 | 5 | 4/12 | 4/12 |
Over the last 15 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