Match

Ravshan vs Regar-TadAZ: result 1-2 and analysis

Vysshaya LigaRegular Season - 30Kick-off on September 20, 2011 at 11:30 AM (UTC)Stadion im. Langari Langarieva, Kulyab

Ravshan
1-2
Regar-TadAZ

Full time

What was the result of Ravshan vs Regar-TadAZ?

Regar-TadAZ won 1-2 on September 20, 2011.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Ravshan have 13 wins, 0 draws and 2 defeats; Regar-TadAZ have 13, 2 and 0.

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

Ravshan
DateOpponentScoreCompetition
Sep 1, 2011Shodmon Gissar(away)1-0Vysshaya Liga
Aug 21, 2011CSKA Pomir(home)3-1Vysshaya Liga
Aug 17, 2011Xayr(home)2-1Vysshaya Liga
Aug 13, 2011Regar-TadAZ(away)0-2Vysshaya Liga
Aug 10, 2011Guardia Dushanbe(home)3-2Vysshaya Liga
Regar-TadAZ
DateOpponentScoreCompetition
Sep 1, 2011Khujand(home)2-0Vysshaya Liga
Aug 17, 2011Guardia Dushanbe(away)10-1Vysshaya Liga
Aug 13, 2011Ravshan(home)2-0Vysshaya Liga
Aug 10, 2011Shodmon Gissar(away)3-0Vysshaya Liga
Aug 6, 2011Barki Tajik(home)2-0Vysshaya Liga

What does the head-to-head say?

Across the last 2 meetings: 1 Ravshan win, 0 draws, 1 Regar-TadAZ win.

DateScoreCompetition
Aug 13, 2011Regar-TadAZ 2-0 RavshanVysshaya Liga
May 9, 2011Ravshan 2-0 Regar-TadAZVysshaya Liga

Last archived meeting: Regar-TadAZ vs Ravshan on Aug 13, 2011

How many goals should we expect?

Ravshan score 2.1 and concede 0.8 goals per match over their last 15; Regar-TadAZ score 3.0 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ravshan2.10.876/158/15
Regar-TadAZ3.00.496/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Ravshan sit 7th in Vysshaya Liga (23 points from 18 matches) and Regar-TadAZ sit 1st (40 points from 18 matches).

2026 standings
#ClubPWDLGFGAPts
1Regar-TadAZ18124225940
7Ravshan18657242023

A question about Ravshan 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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