Saipa vs Machine Sazi FC: result 1-0 and analysis
Persian Gulf Pro LeagueRegular Season - 30Kick-off on May 4, 2017 at 01:30 PM (UTC)Shahid Dastgerdi Stadium, Teheran
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What was the result of Saipa vs Machine Sazi FC?
Saipa won 1-0 on May 4, 2017.
Goalscorers
- 90′R. JafariSaipa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saipa have 4 wins, 5 draws and 6 defeats; Machine Sazi FC have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Paykan(away) | 0-2 | Persian Gulf Pro League |
| Apr 20, 2017 | Sanat Naft(home) | 0-2 | Persian Gulf Pro League |
| Apr 15, 2017 | Esteghlal Khuzestan(away) | 0-0 | Persian Gulf Pro League |
| Apr 7, 2017 | Naft Tehran(home) | 1-0 | Persian Gulf Pro League |
| Apr 1, 2017 | Sepahan FC(away) | 1-3 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Siah Jamegan(home) | 0-1 | Persian Gulf Pro League |
| Apr 20, 2017 | ZOB Ahan(away) | 1-2 | Persian Gulf Pro League |
| Apr 15, 2017 | Persepolis FC(home) | 0-2 | Persian Gulf Pro League |
| Apr 7, 2017 | Padideh Khorasan(home) | 0-2 | Persian Gulf Pro League |
| Mar 31, 2017 | Paykan(away) | 1-3 | Persian Gulf Pro League |
What does the head-to-head say?
Across the last 1 meetings: 0 Saipa win(s), 1 draw(s), 0 Machine Sazi FC win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 8, 2017 | Machine Sazi FC 3-3 Saipa | Persian Gulf Pro League |
Last archived meeting: Machine Sazi FC vs Saipa on Jan 8, 2017
How many goals should we expect?
Saipa score 0.7 and concede 1.0 goals per match over their last 15; Machine Sazi FC score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saipa | 0.7 | 1.0 | 8 | 4/15 | 4/15 |
| Machine Sazi FC | 0.7 | 1.4 | 5 | 4/15 | 6/15 |
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