Match

Machine Sazi FC vs Naft Masjed Soleyman: result 1-1 and analysis

Persian Gulf Pro LeagueRegular Season - 9Kick-off on October 19, 2018 at 12:00 PM (UTC)Bonyan Diesel Stadium, Tabriz

Machine Sazi FC
1-1
Naft Masjed Soleyman

Full time

What was the result of Machine Sazi FC vs Naft Masjed Soleyman?

Machine Sazi FC and Naft Masjed Soleyman drew 1-1 on October 19, 2018.

Goalscorers

  • 43′F. JanfazaNaft Masjed Soleyman
  • 90′30091Machine Sazi FC

What is the recent form of both teams?

Over their last 15 matches in all competitions, Machine Sazi FC have 5 wins, 6 draws and 4 defeats; Naft Masjed Soleyman have 3, 5 and 7.

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

Machine Sazi FC
DateOpponentScoreCompetition
Oct 6, 2018Pars Jonoubi JAM(away)2-1Hazfi Cup
Sep 29, 2018Foolad FC(away)1-1Persian Gulf Pro League
Sep 21, 2018Pars Jonoubi JAM(home)1-0Persian Gulf Pro League
Sep 14, 2018Caspian Babol(away)2-1Hazfi Cup
Aug 30, 2018Tractor Sazi(away)1-2Persian Gulf Pro League
Naft Masjed Soleyman
DateOpponentScoreCompetition
Oct 6, 2018Esteghlal FC(home)1-2Persian Gulf Pro League
Oct 2, 2018Esteghlal FC(home)0-1Hazfi Cup
Sep 27, 2018Sepahan FC(home)0-2Persian Gulf Pro League
Sep 22, 2018Saipa(away)1-2Persian Gulf Pro League
Aug 23, 2018Nassaji Mazandaran(away)0-1Persian Gulf Pro League

What does the head-to-head say?

Across the last 2 meetings: 0 Machine Sazi FC win(s), 1 draw(s), 1 Naft Masjed Soleyman win(s).

DateScoreCompetition
Jan 7, 2018Machine Sazi FC 0-0 Naft Masjed SoleymanAzadegan League
Aug 7, 2017Naft Masjed Soleyman 3-0 Machine Sazi FCAzadegan League

Last archived meeting: Machine Sazi FC vs Naft Masjed Soleyman on Jan 7, 2018

How many goals should we expect?

Machine Sazi FC score 1.3 and concede 1.5 goals per match over their last 15; Naft Masjed Soleyman score 0.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Machine Sazi FC1.31.5211/158/15
Naft Masjed Soleyman0.70.964/155/15

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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