Paykan vs Saipa: result 2-0 and analysis
Persian Gulf Pro LeagueRegular Season - 29Kick-off on April 29, 2017 at 01:30 PM (UTC)Shahid Dastgerdi Stadium, Teheran
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What was the result of Paykan vs Saipa?
Paykan won 2-0 on April 29, 2017.
Goalscorers
- 33′S. NematiPaykan
- 70′G. MenshaPaykan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paykan have 6 wins, 1 draws and 8 defeats; Saipa have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2017 | Siah Jamegan(away) | 2-1 | Persian Gulf Pro League |
| Apr 15, 2017 | ZOB Ahan(home) | 1-2 | Persian Gulf Pro League |
| Apr 5, 2017 | Persepolis FC(away) | 0-2 | Persian Gulf Pro League |
| Mar 31, 2017 | Machine Sazi FC(home) | 3-1 | Persian Gulf Pro League |
| Mar 10, 2017 | Padideh Khorasan(home) | 0-2 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2017 | Sanat Naft(home) | 0-2 | Persian Gulf Pro League |
| Apr 15, 2017 | Esteghlal Khuzestan(away) | 0-0 | Persian Gulf Pro League |
| Apr 7, 2017 | Naft Tehran(home) | 1-0 | Persian Gulf Pro League |
| Apr 1, 2017 | Sepahan FC(away) | 1-3 | Persian Gulf Pro League |
| Mar 8, 2017 | Esteghlal FC(home) | 1-2 | Persian Gulf Pro League |
What does the head-to-head say?
Across the last 1 meetings: 1 Paykan win(s), 0 draw(s), 0 Saipa win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 15, 2016 | Saipa 0-1 Paykan | Persian Gulf Pro League |
How many goals should we expect?
Paykan score 1.3 and concede 1.5 goals per match over their last 15; Saipa score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paykan | 1.3 | 1.5 | 1 | 9/15 | 8/15 |
| Saipa | 0.7 | 1.0 | 8 | 4/15 | 4/15 |
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