Match

Saba Qom vs Persepolis FC: result 0-2 and analysis

Persian Gulf Pro LeagueRegular Season - 19Kick-off on January 28, 2017 at 01:20 PM (UTC)Yadegar-e-Emam Stadium, Qom

Saba Qom
0-2
Persepolis FC

Full time

What was the result of Saba Qom vs Persepolis FC?

Persepolis FC won 0-2 on January 28, 2017.

Goalscorers

  • 72′30377Persepolis FC (o.g.)
  • 83′R. RezaeianPersepolis FC (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Saba Qom have 3 wins, 4 draws and 8 defeats; Persepolis FC have 10, 4 and 1.

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

Saba Qom
DateOpponentScoreCompetition
Jan 22, 2017Machine Sazi FC(away)0-0Persian Gulf Pro League
Jan 17, 2017Paykan(home)1-0Persian Gulf Pro League
Jan 11, 2017Sanat Naft(away)1-2Persian Gulf Pro League
Dec 23, 2016Esteghlal Khuzestan(away)0-1Persian Gulf Pro League
Dec 15, 2016Naft Tehran(home)0-1Persian Gulf Pro League
Persepolis FC
DateOpponentScoreCompetition
Jan 23, 2017Gostaresh(home)1-0Persian Gulf Pro League
Jan 18, 2017Foolad FC(away)3-0Persian Gulf Pro League
Jan 13, 2017Saipa(home)1-0Persian Gulf Pro League
Dec 23, 2016Siah Jamegan(home)3-0Persian Gulf Pro League
Dec 16, 2016ZOB Ahan(away)0-1Persian Gulf Pro League

What does the head-to-head say?

In the last meeting: 0 Saba Qom wins, 0 draws, 1 Persepolis FC win.

DateScoreCompetition
Aug 11, 2016Persepolis FC 1-0 Saba QomPersian Gulf Pro League

Last archived meeting: Persepolis FC vs Saba Qom on Aug 11, 2016

How many goals should we expect?

Saba Qom score 0.9 and concede 1.3 goals per match over their last 15; Persepolis FC score 1.3 and concede 0.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Saba Qom0.91.365/156/15
Persepolis FC1.30.3113/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
2Persepolis FC1272320723

A question about Saba Qom vs Persepolis FC?

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

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