Shams Azar Qazvin vs Havadar: result 1-2 and analysis
Persian Gulf Pro LeagueRegular Season - 2Kick-off on August 16, 2023 at 04:00 PM (UTC)Sardare Azadegan Stadium, Qazvin
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What was the result of Shams Azar Qazvin vs Havadar?
Havadar won 1-2 on August 16, 2023.
Goalscorers
- 57′B. MoradiHavadar
- 72′A. GhaseminejadHavadar
- 87′Rahman JafariShams Azar Qazvin
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shams Azar Qazvin have 10 wins, 3 draws and 2 defeats; Havadar have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 22, 2023 | Chadormalu SC(home) | 3-1 | Azadegan League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2023 | Mes Rafsanjan(home) | 0-0 | Persian Gulf Pro League |
| May 25, 2023 | Persepolis FC(home) | 1-3 | Hazfi Cup |
| May 18, 2023 | ZOB Ahan(away) | 3-3 | Persian Gulf Pro League |
| May 12, 2023 | Foolad FC(home) | 0-0 | Persian Gulf Pro League |
| May 6, 2023 | Nassaji Mazandaran(away) | 1-1 | Persian Gulf Pro League |
How many goals should we expect?
Shams Azar Qazvin score 1.9 and concede 0.7 goals per match over their last 15; Havadar score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shams Azar Qazvin | 1.9 | 0.7 | 6 | 9/15 | 11/15 |
| Havadar | 0.9 | 1.5 | 4 | 9/15 | 6/15 |
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