Match

Eskhata vs Fayzkand: result 1-0 and analysis

Vysshaya LigaRegular Season - 8Kick-off on May 5, 2023 at 12:00 PM (UTC)Stadion 20-letie Nezavisimosti, Khujand

Eskhata
1-0
Fayzkand

Full time

What was the result of Eskhata vs Fayzkand?

Eskhata won 1-0 on May 5, 2023.

Goalscorers

  • 23′?Eskhata

What is the recent form of both teams?

Over their last 15 matches in all competitions, Eskhata have 6 wins, 5 draws and 4 defeats; Fayzkand have 4, 4 and 7.

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

Eskhata
DateOpponentScoreCompetition
Apr 29, 2023Khosilot Farkhor(away)0-1Vysshaya Liga
Apr 25, 2023Ravshan(home)1-1Vysshaya Liga
Apr 15, 2023Regar-TadAZ(away)1-0Vysshaya Liga
Apr 12, 2023Khujand(home)0-1Vysshaya Liga
Apr 6, 2023Khatlon(away)2-0Vysshaya Liga
Fayzkand
DateOpponentScoreCompetition
Apr 30, 2023Regar-TadAZ(home)5-1Vysshaya Liga
Apr 26, 2023Khujand(away)2-2Vysshaya Liga
Apr 15, 2023CSKA Pomir(away)1-1Vysshaya Liga
Apr 11, 2023Kuktosh(home)2-1Vysshaya Liga
Apr 7, 2023Istiqlol(away)1-2Vysshaya Liga

What does the head-to-head say?

Across the last 6 meetings: 4 Eskhata wins, 0 draws, 2 Fayzkand wins.

DateScoreCompetition
Nov 16, 2022Fayzkand 0-2 EskhataVysshaya Liga
Oct 9, 2022Fayzkand 1-3 EskhataVysshaya Liga
Apr 8, 2022Eskhata 1-3 FayzkandVysshaya Liga
Sep 26, 2021Eskhata 0-1 FayzkandVysshaya Liga
Jul 11, 2021Eskhata 1-0 FayzkandVysshaya Liga
May 9, 2021Fayzkand 1-3 EskhataVysshaya Liga

Last archived meeting: Fayzkand vs Eskhata on Nov 16, 2022

How many goals should we expect?

Eskhata score 1.3 and concede 0.9 goals per match over their last 15; Fayzkand score 1.5 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Eskhata1.30.957/154/15
Fayzkand1.51.6110/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
9Eskhata17548223219

A question about Eskhata 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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