Saipa vs Paykan: result 0-1 and analysis
Persian Gulf Pro LeagueRegular Season - 14Kick-off on December 15, 2016 at 11:30 AM (UTC)Shahid Dastgerdi Stadium, Teheran
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What was the result of Saipa vs Paykan?
Paykan won 0-1 on December 15, 2016.
Goalscorers
- 52′G. MenshaPaykan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saipa have 4 wins, 6 draws and 5 defeats; Paykan have 4, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2016 | Sanat Naft(away) | 1-0 | Persian Gulf Pro League |
| Dec 1, 2016 | Esteghlal Khuzestan(home) | 0-2 | Persian Gulf Pro League |
| Nov 24, 2016 | Naft Tehran(away) | 0-2 | Persian Gulf Pro League |
| Nov 18, 2016 | Naft Masjed Soleyman(away) | 2-1 | Hazfi Cup |
| Oct 31, 2016 | Baderan Tehran(home) | 2-1 | Hazfi Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2016 | Siah Jamegan(home) | 1-0 | Persian Gulf Pro League |
| Dec 2, 2016 | ZOB Ahan(away) | 0-3 | Persian Gulf Pro League |
| Nov 24, 2016 | Persepolis FC(home) | 0-0 | Persian Gulf Pro League |
| Nov 2, 2016 | Aluminium Arak(home) | 0-1 | Hazfi Cup |
| Oct 27, 2016 | Machine Sazi FC(away) | 4-1 | Persian Gulf Pro League |
How many goals should we expect?
Saipa score 0.9 and concede 1.1 goals per match over their last 15; Paykan score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saipa | 0.9 | 1.1 | 3 | 7/15 | 3/15 |
| Paykan | 1.1 | 1.1 | 5 | 7/14 | 5/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Paykan | 9 | 2 | 3 | 4 | 6 | 9 | 9 |
A question about Saipa vs Paykan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy