Match

Istaravshan vs Regar-TadAZ: result 2-3 and analysis

Vysshaya LigaRegular Season - 2Kick-off on May 10, 2013 at 12:00 PM (UTC)Stadion Rodnik, Nay

Istaravshan
2-3
Regar-TadAZ

Full time

What was the result of Istaravshan vs Regar-TadAZ?

Regar-TadAZ won 2-3 on May 10, 2013.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Istaravshan have 4 wins, 5 draws and 6 defeats; Regar-TadAZ have 12, 2 and 1.

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

Istaravshan
DateOpponentScoreCompetition
May 5, 2013Khujand(away)0-2Vysshaya Liga
Apr 27, 2013CSKA Pomir(home)0-0Vysshaya Liga
Apr 20, 2013Parvoz(away)0-2Vysshaya Liga
Apr 7, 2013Barki Tajik(away)0-0Vysshaya Liga
Nov 22, 2012Parvoz(home)1-0Vysshaya Liga
Regar-TadAZ
DateOpponentScoreCompetition
Apr 27, 2013Khatlon(away)1-0Vysshaya Liga
Apr 6, 2013Khujand(home)1-0Vysshaya Liga
Nov 22, 2012CSKA Pomir(away)2-0Vysshaya Liga
Nov 18, 2012Guardia Dushanbe(home)11-0Vysshaya Liga
Nov 12, 2012Parvoz(away)2-1Vysshaya Liga

What does the head-to-head say?

Across the last 2 meetings: 0 Istaravshan wins, 0 draws, 2 Regar-TadAZ wins.

DateScoreCompetition
Sep 30, 2012Istaravshan 1-2 Regar-TadAZVysshaya Liga
Jun 3, 2012Regar-TadAZ 5-1 IstaravshanVysshaya Liga

Last archived meeting: Istaravshan vs Regar-TadAZ on Sep 30, 2012

How many goals should we expect?

Istaravshan score 1.0 and concede 1.3 goals per match over their last 15; Regar-TadAZ score 3.3 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Istaravshan1.01.356/156/15
Regar-TadAZ3.30.595/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Istaravshan sit 12th in Vysshaya Liga (6 points from 18 matches) and Regar-TadAZ sit 1st (40 points from 18 matches).

2026 standings
#ClubPWDLGFGAPts
1Regar-TadAZ18124225940
12Istaravshan18061215366

A question about Istaravshan vs Regar-TadAZ?

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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