Pars Jonoubi JAM vs Machine Sazi FC: result 1-2 and analysis
Hazfi Cup8th FinalsKick-off on October 6, 2018 at 01:45 PM (UTC)Takhti Stadium, Jam
Full time
What was the result of Pars Jonoubi JAM vs Machine Sazi FC?
Machine Sazi FC won 1-2 on October 6, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pars Jonoubi JAM have 4 wins, 7 draws and 4 defeats; Machine Sazi FC have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2018 | Padideh Khorasan(home) | 1-1 | Persian Gulf Pro League |
| Sep 21, 2018 | Machine Sazi FC(away) | 0-1 | Persian Gulf Pro League |
| Sep 14, 2018 | Paykan(away) | 0-0 | Hazfi Cup |
| Aug 30, 2018 | Sepahan FC(home) | 2-2 | Persian Gulf Pro League |
| Aug 24, 2018 | Saipa(away) | 0-1 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Foolad FC(away) | 1-1 | Persian Gulf Pro League |
| Sep 21, 2018 | Pars Jonoubi JAM(home) | 1-0 | Persian Gulf Pro League |
| Sep 14, 2018 | Caspian Babol(away) | 2-1 | Hazfi Cup |
| Aug 30, 2018 | Tractor Sazi(away) | 1-2 | Persian Gulf Pro League |
| Aug 26, 2018 | Gol Gohar(home) | 0-4 | Azadegan League |
What does the head-to-head say?
Across the last 1 meetings: 0 Pars Jonoubi JAM win(s), 0 draw(s), 1 Machine Sazi FC win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2018 | Machine Sazi FC 1-0 Pars Jonoubi JAM | Persian Gulf Pro League |
Last archived meeting: Machine Sazi FC vs Pars Jonoubi JAM on Sep 21, 2018
How many goals should we expect?
Pars Jonoubi JAM score 0.9 and concede 0.7 goals per match over their last 15; Machine Sazi FC score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pars Jonoubi JAM | 0.9 | 0.7 | 7 | 5/15 | 3/15 |
| Machine Sazi FC | 1.1 | 1.5 | 2 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
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