Match

Machine Sazi FC vs Saipa: result 1-0 and analysis

Persian Gulf Pro LeagueRegular Season - 12Kick-off on November 28, 2019 at 12:00 PM (UTC)Bonyan Diesel Stadium, Tabriz

Machine Sazi FC
1-0
Saipa

Full time

What was the result of Machine Sazi FC vs Saipa?

Machine Sazi FC won 1-0 on November 28, 2019.

Goalscorers

  • 66′A. ZendehroohMachine Sazi FC (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Machine Sazi FC have 3 wins, 5 draws and 7 defeats; Saipa have 4, 4 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Machine Sazi FC
DateOpponentScoreCompetition
Nov 8, 2019ZOB Ahan(home)2-1Persian Gulf Pro League
Oct 31, 2019Persepolis FC(away)0-0Persian Gulf Pro League
Oct 25, 2019Naft Masjed Soleyman(home)0-0Persian Gulf Pro League
Oct 20, 2019Foolad FC(home)2-3Persian Gulf Pro League
Oct 4, 2019Nassaji Mazandaran(away)0-0Persian Gulf Pro League
Saipa
DateOpponentScoreCompetition
Nov 24, 2019Shahin Bushehr(home)0-0Persian Gulf Pro League
Nov 7, 2019Paykan(away)0-1Persian Gulf Pro League
Oct 31, 2019Padideh Khorasan(home)0-0Persian Gulf Pro League
Oct 25, 2019Sepahan FC(away)0-0Persian Gulf Pro League
Oct 21, 2019Esteghlal FC(home)0-4Persian Gulf Pro League

What does the head-to-head say?

Across the last 4 meetings: 0 Machine Sazi FC win(s), 3 draw(s), 1 Saipa win(s).

DateScoreCompetition
Apr 25, 2019Machine Sazi FC 0-0 SaipaPersian Gulf Pro League
Nov 14, 2018Saipa 0-0 Machine Sazi FCPersian Gulf Pro League
May 4, 2017Saipa 1-0 Machine Sazi FCPersian Gulf Pro League
Jan 8, 2017Machine Sazi FC 3-3 SaipaPersian Gulf Pro League

Last archived meeting: Machine Sazi FC vs Saipa on Apr 25, 2019

How many goals should we expect?

Machine Sazi FC score 0.9 and concede 1.3 goals per match over their last 15; Saipa score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Machine Sazi FC0.91.356/155/15
Saipa0.91.545/157/15

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

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