Saipa vs Foolad FC: result 1-0 and analysis
Persian Gulf Pro LeagueRegular Season - 20Kick-off on February 2, 2017 at 11:30 AM (UTC)Shahid Dastgerdi Stadium, Teheran
Full time
What was the result of Saipa vs Foolad FC?
Saipa won 1-0 on February 2, 2017.
Goalscorers
- 73′H. ShiriSaipa (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saipa have 5 wins, 4 draws and 6 defeats; Foolad FC have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 28, 2017 | Padideh Khorasan(away) | 1-0 | Persian Gulf Pro League |
| Jan 23, 2017 | Siah Jamegan(home) | 1-0 | Persian Gulf Pro League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 28, 2017 | Siah Jamegan(home) | 0-0 | Persian Gulf Pro League |
| Jan 23, 2017 | ZOB Ahan(away) | 0-1 | Persian Gulf Pro League |
| Jan 18, 2017 | Persepolis FC(home) | 0-3 | Persian Gulf Pro League |
| Jan 13, 2017 | Machine Sazi FC(away) | 0-0 | Persian Gulf Pro League |
| Dec 23, 2016 | Paykan(away) | 1-2 | Persian Gulf Pro League |
What does the head-to-head say?
Across the last 1 meetings: 0 Saipa win(s), 1 draw(s), 0 Foolad FC win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Foolad FC 2-2 Saipa | Persian Gulf Pro League |
How many goals should we expect?
Saipa score 0.7 and concede 1.1 goals per match over their last 15; Foolad FC score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saipa | 0.7 | 1.1 | 5 | 4/15 | 3/15 |
| Foolad FC | 1.1 | 0.9 | 7 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Foolad FC | 2 | 0 | 2 | 0 | 1 | 1 | 2 |
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