Mes Rafsanjan vs Navad Urmia: result 2-3 and analysis
Azadegan LeagueRegular Season - 15Kick-off on December 2, 2018 at 10:30 AM (UTC)Shohada Mes Rafsanjan Stadium, Rafsanjan
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What was the result of Mes Rafsanjan vs Navad Urmia?
Navad Urmia won 2-3 on December 2, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mes Rafsanjan have 3 wins, 5 draws and 7 defeats; Navad Urmia have 2, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2018 | Shahin Bushehr(away) | 0-3 | Azadegan League |
| Nov 18, 2018 | Aluminium Arak(home) | 4-1 | Azadegan League |
| Nov 11, 2018 | Shahrdari Mahshahr(away) | 0-1 | Azadegan League |
| Nov 6, 2018 | Mes Kerman(home) | 0-1 | Azadegan League |
| Oct 28, 2018 | Fajr Sepasi(away) | 1-1 | Azadegan League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2018 | Khooneh Be Khooneh(home) | 0-2 | Azadegan League |
| Nov 17, 2018 | Arvand Khorramshahr FC(away) | 0-1 | Azadegan League |
| Nov 11, 2018 | Qashqai Shiraz(home) | 2-1 | Azadegan League |
| Nov 3, 2018 | Fajr Sepasi(away) | 0-0 | Azadegan League |
| Oct 28, 2018 | Shahin Bushehr(away) | 0-2 | Azadegan League |
How many goals should we expect?
Mes Rafsanjan score 1.3 and concede 1.7 goals per match over their last 15; Navad Urmia score 0.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mes Rafsanjan | 1.3 | 1.7 | 0 | 9/15 | 9/15 |
| Navad Urmia | 0.4 | 1.0 | 4 | 3/12 | 2/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Mes Rafsanjan | 8 | 4 | 4 | 0 | 7 | 1 | 16 |
A question about Mes Rafsanjan vs Navad Urmia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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