SorkhPooshan Pakdasht vs Mes Rafsanjan: result 2-2 and analysis
Azadegan LeagueRegular Season - 24Kick-off on February 19, 2019 at 10:45 AM (UTC)
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What was the result of SorkhPooshan Pakdasht vs Mes Rafsanjan?
SorkhPooshan Pakdasht and Mes Rafsanjan drew 2-2 on February 19, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SorkhPooshan Pakdasht have 8 wins, 4 draws and 3 defeats; Mes Rafsanjan have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2019 | Malavan(away) | 1-2 | Azadegan League |
| Feb 6, 2019 | Khooneh Be Khooneh(home) | 2-1 | Azadegan League |
| Jan 24, 2019 | Qashqai Shiraz(home) | 0-2 | Azadegan League |
| Jan 17, 2019 | Navad Urmia(away) | 0-1 | Azadegan League |
| Jan 10, 2019 | Arvand Khorramshahr FC(home) | 1-1 | Azadegan League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2019 | Shahrdari Tabriz(away) | 0-1 | Azadegan League |
| Jan 31, 2019 | Baderan Tehran(home) | 1-0 | Azadegan League |
| Jan 24, 2019 | Malavan(away) | 0-2 | Azadegan League |
| Jan 17, 2019 | Arvand Khorramshahr FC(away) | 1-0 | Azadegan League |
| Jan 10, 2019 | Qashqai Shiraz(home) | 2-0 | Azadegan League |
What does the head-to-head say?
Across the last 1 meetings: 0 SorkhPooshan Pakdasht win(s), 1 draw(s), 0 Mes Rafsanjan win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 10, 2018 | Mes Rafsanjan 3-3 SorkhPooshan Pakdasht | Azadegan League |
Last archived meeting: Mes Rafsanjan vs SorkhPooshan Pakdasht on Oct 10, 2018
How many goals should we expect?
SorkhPooshan Pakdasht score 1.8 and concede 1.1 goals per match over their last 15; Mes Rafsanjan score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SorkhPooshan Pakdasht | 1.8 | 1.1 | 3 | 10/15 | 8/15 |
| Mes Rafsanjan | 1.2 | 1.5 | 3 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
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