Paykan vs Foolad FC: result 2-1 and analysis
Persian Gulf Pro LeagueRegular Season - 15Kick-off on December 23, 2016 at 11:30 AM (UTC)Shahid Dastgerdi Stadium, Teheran
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What was the result of Paykan vs Foolad FC?
Paykan won 2-1 on December 23, 2016.
Goalscorers
- 33′Mahan Rahmani NobaraniFoolad FC (o.g.)
- 39′29778Paykan
- 43′Ali HamoudiPaykan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paykan have 5 wins, 7 draws and 3 defeats; Foolad FC have 6, 8 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 24, 2016 | Persepolis FC(home) | 0-0 | Persian Gulf Pro League |
| Nov 2, 2016 | Aluminium Arak(home) | 0-1 | Hazfi Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2016 | Sanat Naft(home) | 3-0 | Persian Gulf Pro League |
| Dec 9, 2016 | Esteghlal Khuzestan(away) | 1-0 | Persian Gulf Pro League |
| Dec 1, 2016 | Naft Tehran(home) | 4-2 | Persian Gulf Pro League |
| Nov 24, 2016 | Sepahan FC(away) | 1-1 | Persian Gulf Pro League |
| Nov 17, 2016 | Naft Gachsaran(home) | 0-0 | Hazfi Cup |
How many goals should we expect?
Paykan score 1.1 and concede 1.0 goals per match over their last 15; Foolad FC score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paykan | 1.1 | 1.0 | 6 | 7/15 | 5/15 |
| Foolad FC | 1.4 | 0.9 | 6 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Paykan sit 14th in Persian Gulf Pro League (1 points from 2 matches) and Foolad FC sit 9th (2 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Foolad FC | 2 | 0 | 2 | 0 | 1 | 1 | 2 |
| 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