Saba Qom vs Paykan: result 1-0 and analysis
Persian Gulf Pro LeagueRegular Season - 17Kick-off on January 17, 2017 at 12:00 PM (UTC)Yadegar-e-Emam Stadium, Qom
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What was the result of Saba Qom vs Paykan?
Saba Qom won 1-0 on January 17, 2017.
Goalscorers
- 82′29938Saba Qom
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saba Qom have 2 wins, 4 draws and 9 defeats; Paykan have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Dec 1, 2016 | Esteghlal FC(home) | 0-2 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 12, 2017 | Gostaresh(home) | 1-1 | Persian Gulf Pro League |
| Dec 23, 2016 | Foolad FC(home) | 2-1 | Persian Gulf Pro League |
| Dec 15, 2016 | Saipa(away) | 1-0 | Persian Gulf Pro League |
| Dec 9, 2016 | Siah Jamegan(home) | 1-0 | Persian Gulf Pro League |
| Dec 2, 2016 | ZOB Ahan(away) | 0-3 | 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 Paykan win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 31, 2016 | Paykan 1-1 Saba Qom | Persian Gulf Pro League |
How many goals should we expect?
Saba Qom score 0.9 and concede 1.4 goals per match over their last 15; Paykan score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saba Qom | 0.9 | 1.4 | 4 | 6/15 | 6/15 |
| Paykan | 1.2 | 1.1 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Paykan | 2 | 0 | 1 | 1 | 0 | 2 | 1 |
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