Match

Khatlon vs Fayzkand: result 0-0 and analysis

Vysshaya LigaRegular Season - 15Kick-off on September 11, 2022 at 11:30 AM (UTC)Vaxş-Arena, Kurgan-Tyube

Khatlon
0-0
Fayzkand

Full time

What was the result of Khatlon vs Fayzkand?

Khatlon and Fayzkand drew 0-0 on September 11, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Khatlon have 7 wins, 4 draws and 4 defeats; Fayzkand have 7, 3 and 5.

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

Khatlon
DateOpponentScoreCompetition
Sep 4, 2022Khujand(away)0-1Vysshaya Liga
Aug 24, 2022CSKA Pomir(away)3-0Vysshaya Liga
Aug 21, 2022Istiqlol(away)0-1Vysshaya Liga
Aug 14, 2022Regar-TadAZ(home)0-1Vysshaya Liga
Jul 3, 2022Ravshan Zafarobod(away)0-0Vysshaya Liga
Fayzkand
DateOpponentScoreCompetition
Sep 4, 2022Istiqlol(home)1-3Vysshaya Liga
Aug 20, 2022Regar-TadAZ(away)1-0Vysshaya Liga
Aug 12, 2022Ravshan Zafarobod(home)2-1Vysshaya Liga
Jul 4, 2022CSKA Pomir(away)2-1Vysshaya Liga
Jun 25, 2022Ravshan(home)0-0Vysshaya Liga

What does the head-to-head say?

Across the last 6 meetings: 2 Khatlon wins, 1 draw, 3 Fayzkand wins.

DateScoreCompetition
Apr 24, 2022Fayzkand 0-1 KhatlonVysshaya Liga
Dec 5, 2021Fayzkand 2-1 KhatlonVysshaya Liga
Jun 20, 2021Fayzkand 1-2 KhatlonVysshaya Liga
May 25, 2021Khatlon 0-1 FayzkandVysshaya Liga
Aug 16, 2020Fayzkand 2-1 KhatlonVysshaya Liga
Jun 27, 2020Khatlon 1-1 FayzkandVysshaya Liga

Last archived meeting: Fayzkand vs Khatlon on Apr 24, 2022

How many goals should we expect?

Khatlon score 1.1 and concede 0.7 goals per match over their last 15; Fayzkand score 1.2 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Khatlon1.10.775/155/15
Fayzkand1.21.738/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
8Khatlon17485242420

A question about Khatlon vs Fayzkand?

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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