Saba Qom vs Siah Jamegan: result 2-1 and analysis
Persian Gulf Pro LeagueRegular Season - 21Kick-off on February 9, 2017 at 11:30 AM (UTC)Yadegar-e-Emam Stadium, Qom
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What was the result of Saba Qom vs Siah Jamegan?
Saba Qom won 2-1 on February 9, 2017.
Goalscorers
- 47′30051Saba Qom
- 63′M. AzarbadSiah Jamegan
- 82′M. BayramiSaba Qom
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saba Qom have 3 wins, 3 draws and 9 defeats; Siah Jamegan have 1, 6 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2017 | ZOB Ahan(away) | 1-0 | Persian Gulf Pro League |
| Jan 28, 2017 | Persepolis FC(home) | 0-2 | Persian Gulf Pro League |
| Jan 22, 2017 | Machine Sazi FC(away) | 0-0 | Persian Gulf Pro League |
| Jan 17, 2017 | Paykan(home) | 1-0 | Persian Gulf Pro League |
| Jan 11, 2017 | Sanat Naft(away) | 1-2 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2017 | Gostaresh(home) | 1-1 | Persian Gulf Pro League |
| Jan 28, 2017 | Foolad FC(away) | 0-0 | Persian Gulf Pro League |
| Jan 23, 2017 | Saipa(away) | 0-1 | Persian Gulf Pro League |
| Jan 18, 2017 | Padideh Khorasan(home) | 1-1 | Persian Gulf Pro League |
| Jan 13, 2017 | ZOB Ahan(away) | 0-1 | Persian Gulf Pro League |
What does the head-to-head say?
Across the last 1 meetings: 0 Saba Qom win(s), 1 draw(s), 0 Siah Jamegan win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2016 | Siah Jamegan 2-2 Saba Qom | Persian Gulf Pro League |
Last archived meeting: Siah Jamegan vs Saba Qom on Sep 15, 2016
How many goals should we expect?
Saba Qom score 0.7 and concede 1.3 goals per match over their last 15; Siah Jamegan score 0.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saba Qom | 0.7 | 1.3 | 6 | 4/15 | 5/15 |
| Siah Jamegan | 0.5 | 1.3 | 3 | 5/15 | 5/15 |
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