Match

Fajr Sepasi vs Shahrdari Tabriz: result 3-1 and analysis

Azadegan LeagueMatchday 2Kick-off on August 22, 2019 at 12:45 PM (UTC)Hafezieh Stadium, Shiraz

Fajr Sepasi
3-1
Shahrdari Tabriz

Full time

What was the result of Fajr Sepasi vs Shahrdari Tabriz?

Fajr Sepasi won 3-1 on August 22, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Fajr Sepasi have 6 wins, 3 draws and 6 defeats; Shahrdari Tabriz have 2, 4 and 9.

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

Fajr Sepasi
DateOpponentScoreCompetition
Aug 17, 2019Aluminium Arak(away)1-3Azadegan League
Apr 30, 2019Shahrdari Mahshahr(away)1-2Azadegan League
Apr 23, 2019Mes Kerman(home)1-1Azadegan League
Apr 16, 2019Gol Gohar(home)0-1Azadegan League
Apr 10, 2019SorkhPooshan Pakdasht(away)4-2Azadegan League
Shahrdari Tabriz
DateOpponentScoreCompetition
Aug 17, 2019Navad Urmia(home)1-2Azadegan League
Apr 30, 2019Qashqai Shiraz(away)1-4Azadegan League
Apr 23, 2019Oxin Alborz(home)1-0Azadegan League
Apr 16, 2019Mes Kerman(away)0-2Azadegan League
Apr 10, 2019Shahrdari Mahshahr(home)3-3Azadegan League

What does the head-to-head say?

Across the last 4 meetings: 3 Fajr Sepasi wins, 1 draw, 0 Shahrdari Tabriz wins.

DateScoreCompetition
Mar 29, 2019Shahrdari Tabriz 0-1 Fajr SepasiAzadegan League
Nov 11, 2018Fajr Sepasi 0-0 Shahrdari TabrizAzadegan League
Apr 10, 2018Shahrdari Tabriz 1-3 Fajr SepasiAzadegan League
Nov 21, 2017Fajr Sepasi 3-1 Shahrdari TabrizAzadegan League

Last archived meeting: Shahrdari Tabriz vs Fajr Sepasi on Mar 29, 2019

How many goals should we expect?

Fajr Sepasi score 1.4 and concede 1.1 goals per match over their last 15; Shahrdari Tabriz score 0.9 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fajr Sepasi1.41.166/156/15
Shahrdari Tabriz0.91.838/157/15

Over the last 15 matches in all competitions.

A question about Fajr Sepasi vs Shahrdari Tabriz?

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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