Padideh Khorasan vs Saba Qom: result 1-0 and analysis
Persian Gulf Pro LeagueRegular Season - 25Kick-off on March 31, 2017 at 12:30 PM (UTC)Samen Al-Aeme Stadium, Mashhad
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What was the result of Padideh Khorasan vs Saba Qom?
Padideh Khorasan won 1-0 on March 31, 2017.
Goalscorers
- 44′H. MehrabanPadideh Khorasan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Padideh Khorasan have 5 wins, 5 draws and 5 defeats; Saba Qom have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2017 | Paykan(away) | 2-0 | Persian Gulf Pro League |
| Mar 3, 2017 | Gostaresh(home) | 3-2 | Persian Gulf Pro League |
| Feb 17, 2017 | Sanat Naft(away) | 3-0 | Persian Gulf Pro League |
| Feb 9, 2017 | Foolad FC(home) | 0-1 | Persian Gulf Pro League |
| Feb 2, 2017 | Esteghlal Khuzestan(away) | 1-2 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2017 | Gostaresh(away) | 0-0 | Persian Gulf Pro League |
| Mar 3, 2017 | Foolad FC(home) | 0-0 | Persian Gulf Pro League |
| Feb 17, 2017 | Saipa(away) | 0-0 | Persian Gulf Pro League |
| Feb 9, 2017 | Siah Jamegan(home) | 2-1 | Persian Gulf Pro League |
| Feb 2, 2017 | ZOB Ahan(away) | 1-0 | Persian Gulf Pro League |
What does the head-to-head say?
Across the last 1 meetings: 1 Padideh Khorasan win(s), 0 draw(s), 0 Saba Qom win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2016 | Saba Qom 2-3 Padideh Khorasan | Persian Gulf Pro League |
Last archived meeting: Saba Qom vs Padideh Khorasan on Oct 27, 2016
How many goals should we expect?
Padideh Khorasan score 1.1 and concede 0.9 goals per match over their last 15; Saba Qom score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Padideh Khorasan | 1.1 | 0.9 | 5 | 7/15 | 4/15 |
| Saba Qom | 0.5 | 1.0 | 7 | 4/15 | 4/15 |
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