Malavan vs SorkhPooshan Pakdasht: result 2-1 and analysis
Azadegan LeagueRegular Season - 23Kick-off on February 12, 2019 at 10:30 AM (UTC)Takhti Stadium (Ebtedaye khiabane), Bandar-e-Anzalī
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What was the result of Malavan vs SorkhPooshan Pakdasht?
Malavan won 2-1 on February 12, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Malavan have 3 wins, 7 draws and 5 defeats; SorkhPooshan Pakdasht have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 31, 2019 | Arvand Khorramshahr FC(away) | 0-0 | Azadegan League |
| Jan 24, 2019 | Mes Rafsanjan(home) | 2-0 | Azadegan League |
| Jan 17, 2019 | Qashqai Shiraz(away) | 1-0 | Azadegan League |
| Jan 10, 2019 | Khooneh Be Khooneh(home) | 0-0 | Azadegan League |
| Dec 15, 2018 | Navad Urmia(home) | 2-0 | Azadegan League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Dec 15, 2018 | Aluminium Arak(home) | 3-0 | Azadegan League |
What does the head-to-head say?
Across the last 1 meetings: 0 Malavan win(s), 1 draw(s), 0 SorkhPooshan Pakdasht win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2018 | SorkhPooshan Pakdasht 1-1 Malavan | Azadegan League |
Last archived meeting: SorkhPooshan Pakdasht vs Malavan on Sep 30, 2018
How many goals should we expect?
Malavan score 0.8 and concede 0.9 goals per match over their last 15; SorkhPooshan Pakdasht score 1.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Malavan | 0.8 | 0.9 | 8 | 6/15 | 4/15 |
| SorkhPooshan Pakdasht | 1.8 | 1.0 | 3 | 10/15 | 7/15 |
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