Paykan vs Mes Rafsanjan: result 2-3 and analysis
Persian Gulf Pro LeagueRegular Season - 12Kick-off on January 20, 2021 at 11:30 AM (UTC)Shahr-e Qods Stadium, Shahr-e Qods
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What was the result of Paykan vs Mes Rafsanjan?
Mes Rafsanjan won 2-3 on January 20, 2021.
Goalscorers
- 10′M. SattariPaykan
- 40′F. EmamaliMes Rafsanjan
- 49′S. AshouriMes Rafsanjan
- 52′M. DarvishiPaykan
- 79′F. EmamaliMes Rafsanjan
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; Mes Rafsanjan have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2021 | Sepahan FC(away) | 1-2 | Persian Gulf Pro League |
| Jan 5, 2021 | Nassaji Mazandaran(home) | 2-1 | Persian Gulf Pro League |
| Dec 30, 2020 | Naft Masjed Soleyman(away) | 1-0 | Persian Gulf Pro League |
| Dec 23, 2020 | Saipa(home) | 1-1 | Persian Gulf Pro League |
| Dec 18, 2020 | Tractor Sazi(away) | 1-3 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 10, 2021 | Machine Sazi FC(home) | 1-0 | Persian Gulf Pro League |
| Jan 4, 2021 | Foolad FC(away) | 1-1 | Persian Gulf Pro League |
| Dec 22, 2020 | Sepahan FC(home) | 1-2 | Persian Gulf Pro League |
| Dec 17, 2020 | Nassaji Mazandaran(away) | 1-0 | Persian Gulf Pro League |
| Dec 12, 2020 | Naft Masjed Soleyman(home) | 2-0 | Persian Gulf Pro League |
How many goals should we expect?
Paykan score 0.9 and concede 0.9 goals per match over their last 15; Mes Rafsanjan score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paykan | 0.9 | 0.9 | 6 | 9/15 | 5/15 |
| Mes Rafsanjan | 0.9 | 0.9 | 7 | 5/15 | 3/15 |
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