Machine Sazi FC vs Saba Qom: result 0-0 and analysis
Persian Gulf Pro LeagueRegular Season - 18Kick-off on January 22, 2017 at 10:30 AM (UTC)Bonyan Diesel Stadium, Tabriz
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What was the result of Machine Sazi FC vs Saba Qom?
Machine Sazi FC and Saba Qom drew 0-0 on January 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Machine Sazi FC have 1 wins, 3 draws and 11 defeats; Saba Qom have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2017 | Gostaresh(away) | 1-2 | Persian Gulf Pro League |
| Jan 13, 2017 | Foolad FC(home) | 0-0 | Persian Gulf Pro League |
| Jan 8, 2017 | Saipa(home) | 3-3 | Persian Gulf Pro League |
| Dec 16, 2016 | Siah Jamegan(away) | 0-1 | Persian Gulf Pro League |
| Dec 8, 2016 | ZOB Ahan(home) | 1-2 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 17, 2017 | Paykan(home) | 1-0 | Persian Gulf Pro League |
| Jan 11, 2017 | Sanat Naft(away) | 1-2 | Persian Gulf Pro League |
| Dec 23, 2016 | Esteghlal Khuzestan(away) | 0-1 | Persian Gulf Pro League |
| Dec 15, 2016 | Naft Tehran(home) | 0-1 | Persian Gulf Pro League |
| Dec 9, 2016 | Sepahan FC(away) | 1-4 | Persian Gulf Pro League |
What does the head-to-head say?
Across the last 1 meetings: 0 Machine Sazi FC win(s), 1 draw(s), 0 Saba Qom win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 6, 2016 | Saba Qom 1-1 Machine Sazi FC | Persian Gulf Pro League |
Last archived meeting: Saba Qom vs Machine Sazi FC on Aug 6, 2016
How many goals should we expect?
Machine Sazi FC score 0.9 and concede 1.9 goals per match over their last 15; Saba Qom score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Machine Sazi FC | 0.9 | 1.9 | 1 | 9/15 | 9/15 |
| Saba Qom | 0.9 | 1.3 | 5 | 6/15 | 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