Foolad FC vs Sepidrood Rasht: result 2-1 and analysis
Persian Gulf Pro LeagueRegular Season - 14Kick-off on November 30, 2017 at 11:30 AM (UTC)Shohadaye Foolad Khoozestan, Ahvaz
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What was the result of Foolad FC vs Sepidrood Rasht?
Foolad FC won 2-1 on November 30, 2017.
Goalscorers
- 16′R. ZahiviFoolad FC
- 77′Saber HardaniFoolad FC
- 82′M. TohidastSepidrood Rasht
What is the recent form of both teams?
Over their last 15 matches in all competitions, Foolad FC have 6 wins, 5 draws and 4 defeats; Sepidrood Rasht have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2017 | ZOB Ahan(away) | 1-0 | Persian Gulf Pro League |
| Nov 20, 2017 | Pars Jonoubi JAM(home) | 1-0 | Persian Gulf Pro League |
| Oct 31, 2017 | Padideh Khorasan(away) | 2-2 | Persian Gulf Pro League |
| Oct 19, 2017 | Saipa(home) | 1-1 | Persian Gulf Pro League |
| Oct 13, 2017 | Esteghlal FC(away) | 0-0 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2017 | Tractor Sazi(away) | 1-2 | Persian Gulf Pro League |
| Nov 20, 2017 | ZOB Ahan(home) | 1-2 | Persian Gulf Pro League |
| Nov 2, 2017 | Pars Jonoubi JAM(away) | 1-3 | Persian Gulf Pro League |
| Oct 19, 2017 | Padideh Khorasan(home) | 2-1 | Persian Gulf Pro League |
| Oct 13, 2017 | Saipa(away) | 1-1 | Persian Gulf Pro League |
How many goals should we expect?
Foolad FC score 1.0 and concede 0.9 goals per match over their last 15; Sepidrood Rasht score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Foolad FC | 1.0 | 0.9 | 5 | 7/15 | 4/15 |
| Sepidrood Rasht | 1.1 | 1.4 | 4 | 10/15 | 9/15 |
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