Match

Dushanbe-83 vs Khujand: result 1-2 and analysis

Vysshaya LigaRegular Season - 10Kick-off on August 8, 2020 at 12:00 PM (UTC)

Dushanbe-83
1-2
Khujand

Full time

What was the result of Dushanbe-83 vs Khujand?

Khujand won 1-2 on August 8, 2020.

Goalscorers

  • 11′?Dushanbe-83
  • 21′F. FatkhulloevKhujand
  • 76′?Khujand

What is the recent form of both teams?

Over their last 9 matches in all competitions, Dushanbe-83 have 3 wins, 2 draws and 4 defeats; Khujand have 8, 1 and 6.

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

Dushanbe-83
DateOpponentScoreCompetition
Jul 12, 2020Khujand(away)0-1Vysshaya Liga
Jul 4, 2020Istaravshan(home)3-3Vysshaya Liga
Jun 28, 2020Regar-TadAZ(away)2-1Vysshaya Liga
Jun 21, 2020Kuktosh(home)2-1Vysshaya Liga
Jun 17, 2020Khatlon(away)0-1Vysshaya Liga
Khujand
DateOpponentScoreCompetition
Jul 12, 2020Dushanbe-83(home)1-0Vysshaya Liga
Jul 4, 2020Lokomotive Pamir(away)2-0Vysshaya Liga
Jun 28, 2020Istiqlol(home)1-3Vysshaya Liga
Jun 20, 2020Fayzkand(away)3-0Vysshaya Liga
Jun 16, 2020Istaravshan(away)2-1Vysshaya Liga

What does the head-to-head say?

In the last meeting: 0 Dushanbe-83 wins, 0 draws, 1 Khujand win.

DateScoreCompetition
Jul 12, 2020Khujand 1-0 Dushanbe-83Vysshaya Liga

Last archived meeting: Khujand vs Dushanbe-83 on Jul 12, 2020

How many goals should we expect?

Dushanbe-83 score 1.0 and concede 1.8 goals per match over their last 9; Khujand score 1.6 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dushanbe-831.01.814/95/9
Khujand1.61.148/159/15

Over the last 9 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
5Khujand17764161127

A question about Dushanbe-83 vs Khujand?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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