SorkhPooshan Pakdasht vs Baderan Tehran: result 1-2 and analysis
Azadegan LeagueRegular Season - 27Kick-off on March 9, 2019 at 11:15 AM (UTC)
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What was the result of SorkhPooshan Pakdasht vs Baderan Tehran?
Baderan Tehran won 1-2 on March 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SorkhPooshan Pakdasht have 7 wins, 5 draws and 3 defeats; Baderan Tehran have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Shahrdari Tabriz(away) | 2-2 | Azadegan League |
| Feb 19, 2019 | Mes Rafsanjan(home) | 2-2 | Azadegan League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2019 | Qashqai Shiraz(away) | 0-1 | Azadegan League |
| Feb 19, 2019 | Khooneh Be Khooneh(home) | 2-1 | Azadegan League |
| Feb 13, 2019 | Arvand Khorramshahr FC(away) | 1-2 | Azadegan League |
| Jan 31, 2019 | Mes Rafsanjan(away) | 0-1 | Azadegan League |
| Jan 24, 2019 | Oxin Alborz(home) | 0-2 | Azadegan League |
What does the head-to-head say?
Across the last 1 meetings: 1 SorkhPooshan Pakdasht win(s), 0 draw(s), 0 Baderan Tehran win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2018 | Baderan Tehran 1-2 SorkhPooshan Pakdasht | Azadegan League |
Last archived meeting: Baderan Tehran vs SorkhPooshan Pakdasht on Oct 28, 2018
How many goals should we expect?
SorkhPooshan Pakdasht score 1.5 and concede 1.1 goals per match over their last 15; Baderan Tehran score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SorkhPooshan Pakdasht | 1.5 | 1.1 | 3 | 10/15 | 8/15 |
| Baderan Tehran | 1.1 | 1.3 | 1 | 10/15 | 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