Mes Rafsanjan vs Shams Azar Qazvin: result 0-3 and analysis
Persian Gulf Pro LeagueRegular Season - 3Kick-off on August 22, 2023 at 03:30 PM (UTC)Shohada Mes Rafsanjan Stadium, Rafsanjan
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What was the result of Mes Rafsanjan vs Shams Azar Qazvin?
Shams Azar Qazvin won 0-3 on August 22, 2023.
Goalscorers
- 50′I. MoradiShams Azar Qazvin
- 57′I. MoradiShams Azar Qazvin
- 80′Ali AdnanShams Azar Qazvin (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mes Rafsanjan have 7 wins, 4 draws and 4 defeats; Shams Azar Qazvin have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2023 | Nassaji Mazandaran(home) | 1-1 | Persian Gulf Pro League |
| Aug 10, 2023 | Havadar(away) | 0-0 | Persian Gulf Pro League |
| May 18, 2023 | Paykan(away) | 1-1 | Persian Gulf Pro League |
| May 12, 2023 | Esteghlal FC(home) | 1-2 | Persian Gulf Pro League |
| May 5, 2023 | Malavan(away) | 4-0 | Persian Gulf Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2023 | Havadar(home) | 1-2 | Persian Gulf Pro League |
| Aug 9, 2023 | Esteghlal Khuzestan(away) | 1-1 | Persian Gulf Pro League |
| May 17, 2023 | Arman Gohar(away) | 2-1 | Azadegan League |
| May 10, 2023 | Khalij Fars(home) | 2-1 | Azadegan League |
| May 4, 2023 | Chooka Talesh(away) | 3-0 | Azadegan League |
How many goals should we expect?
Mes Rafsanjan score 1.2 and concede 0.6 goals per match over their last 15; Shams Azar Qazvin score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mes Rafsanjan | 1.2 | 0.6 | 9 | 4/15 | 4/15 |
| Shams Azar Qazvin | 1.9 | 0.9 | 5 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Shams Azar Qazvin | 3 | 0 | 1 | 2 | 2 | 5 | 1 |
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