Mes Kerman vs SorkhPooshan Pakdasht: result 1-3 and analysis
Azadegan LeagueRegular Season - 12Kick-off on November 11, 2018 at 11:00 AM (UTC)Shahid Bahonar Stadium, Kerman
Full time
What was the result of Mes Kerman vs SorkhPooshan Pakdasht?
SorkhPooshan Pakdasht won 1-3 on November 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mes Kerman have 9 wins, 3 draws and 3 defeats; SorkhPooshan Pakdasht have 4, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2018 | Mes Rafsanjan(away) | 1-0 | Azadegan League |
| Nov 2, 2018 | Sepahan FC(home) | 0-0 | Hazfi Cup |
| Oct 22, 2018 | Arvand Khorramshahr FC(away) | 3-1 | Azadegan League |
| Oct 15, 2018 | Khooneh Be Khooneh(home) | 3-0 | Azadegan League |
| Oct 10, 2018 | Qashqai Shiraz(away) | 1-0 | Azadegan League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Gol Gohar(home) | 1-1 | Azadegan League |
| Oct 28, 2018 | Baderan Tehran(away) | 2-1 | Azadegan League |
| Oct 22, 2018 | Shahrdari Tabriz(home) | 5-1 | Azadegan League |
| Oct 10, 2018 | Mes Rafsanjan(away) | 3-3 | Azadegan League |
| Sep 30, 2018 | Malavan(home) | 1-1 | Azadegan League |
How many goals should we expect?
Mes Kerman score 1.7 and concede 0.6 goals per match over their last 15; SorkhPooshan Pakdasht score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mes Kerman | 1.7 | 0.6 | 10 | 4/15 | 6/15 |
| SorkhPooshan Pakdasht | 2.0 | 1.0 | 3 | 6/10 | 5/10 |
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 | Mes Kerman | 7 | 0 | 4 | 3 | 3 | 6 | 4 |
A question about Mes Kerman vs SorkhPooshan Pakdasht?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy