Machine Sazi FC vs Shahin Bushehr: result 4-2 and analysis
Persian Gulf Pro LeagueRegular Season - 5Kick-off on September 26, 2019 at 01:00 PM (UTC)Bonyan Diesel Stadium, Tabriz
Full time
What was the result of Machine Sazi FC vs Shahin Bushehr?
Machine Sazi FC won 4-2 on September 26, 2019.
Goalscorers
- 2′A. ZendehroohMachine Sazi FC (pen.)
- 42′B. SalariShahin Bushehr
- 45′A. ZendehroohMachine Sazi FC (pen.)
- 50′H. MalekiShahin Bushehr
- 85′B. MoradiMachine Sazi FC
- 90′M. GhaderiMachine Sazi FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Machine Sazi FC have 2 wins, 5 draws and 8 defeats; Shahin Bushehr have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2019 | Paykan(away) | 2-6 | Persian Gulf Pro League |
| Sep 14, 2019 | Padideh Khorasan(home) | 0-1 | Persian Gulf Pro League |
| Aug 29, 2019 | Sepahan FC(away) | 0-1 | Persian Gulf Pro League |
| Aug 23, 2019 | Esteghlal FC(home) | 1-0 | Persian Gulf Pro League |
| May 16, 2019 | Padideh Khorasan(home) | 1-2 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2019 | Nassaji Mazandaran(away) | 0-2 | Persian Gulf Pro League |
| Sep 15, 2019 | Paykan(home) | 1-1 | Persian Gulf Pro League |
| Aug 29, 2019 | Padideh Khorasan(away) | 1-2 | Persian Gulf Pro League |
| Aug 24, 2019 | Sepahan FC(home) | 0-3 | Persian Gulf Pro League |
| Apr 23, 2019 | SorkhPooshan Pakdasht(away) | 1-0 | Azadegan League |
How many goals should we expect?
Machine Sazi FC score 0.5 and concede 1.2 goals per match over their last 15; Shahin Bushehr score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Machine Sazi FC | 0.5 | 1.2 | 5 | 4/15 | 2/15 |
| Shahin Bushehr | 0.9 | 0.8 | 7 | 6/15 | 3/15 |
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