Saipa vs Siah Jamegan: result 1-0 and analysis
Persian Gulf Pro LeagueRegular Season - 18Kick-off on January 23, 2017 at 11:30 AM (UTC)Shahid Dastgerdi Stadium, Teheran
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What was the result of Saipa vs Siah Jamegan?
Saipa won 1-0 on January 23, 2017.
Goalscorers
- 48′M. KhalatbariSaipa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saipa have 3 wins, 5 draws and 7 defeats; Siah Jamegan have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2017 | ZOB Ahan(home) | 0-0 | Persian Gulf Pro League |
| Jan 13, 2017 | Persepolis FC(away) | 0-1 | Persian Gulf Pro League |
| Jan 8, 2017 | Machine Sazi FC(away) | 3-3 | Persian Gulf Pro League |
| Dec 20, 2016 | Sepahan FC(away) | 0-2 | Hazfi Cup |
| Dec 15, 2016 | Paykan(home) | 0-1 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2017 | Padideh Khorasan(home) | 1-1 | Persian Gulf Pro League |
| Jan 13, 2017 | ZOB Ahan(away) | 0-1 | Persian Gulf Pro League |
| Dec 23, 2016 | Persepolis FC(away) | 0-3 | Persian Gulf Pro League |
| Dec 16, 2016 | Machine Sazi FC(home) | 1-0 | Persian Gulf Pro League |
| Dec 9, 2016 | Paykan(away) | 0-1 | Persian Gulf Pro League |
What does the head-to-head say?
In the last meeting: 1 Saipa win, 0 draws, 0 Siah Jamegan wins.
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2016 | Siah Jamegan 0-2 Saipa | Persian Gulf Pro League |
How many goals should we expect?
Saipa score 0.7 and concede 1.2 goals per match over their last 15; Siah Jamegan score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saipa | 0.7 | 1.2 | 3 | 5/15 | 3/15 |
| Siah Jamegan | 0.6 | 1.3 | 3 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Saipa vs Siah Jamegan?
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