Match

Ravshan vs Fayzkand: result 4-0 and analysis

Vysshaya LigaRegular Season - 10Kick-off on May 19, 2023 at 12:00 PM (UTC)Stadion im. Langari Langarieva, Kulyab

Ravshan
4-0
Fayzkand

Full time

What was the result of Ravshan vs Fayzkand?

Ravshan won 4-0 on May 19, 2023.

Goalscorers

  • 28′?Ravshan

What is the recent form of both teams?

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

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

Ravshan
DateOpponentScoreCompetition
May 14, 2023Fayzkand(away)0-0Vysshaya Liga
May 10, 2023Khosilot Farkhor(home)1-1Vysshaya Liga
Apr 30, 2023Istiqlol(home)1-0Vysshaya Liga
Apr 25, 2023Eskhata(away)1-1Vysshaya Liga
Apr 16, 2023Khujand(away)0-0Vysshaya Liga
Fayzkand
DateOpponentScoreCompetition
May 14, 2023Ravshan(home)0-0Vysshaya Liga
May 5, 2023Eskhata(away)0-1Vysshaya Liga
Apr 30, 2023Regar-TadAZ(home)5-1Vysshaya Liga
Apr 26, 2023Khujand(away)2-2Vysshaya Liga
Apr 15, 2023CSKA Pomir(away)1-1Vysshaya Liga

What does the head-to-head say?

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

DateScoreCompetition
May 14, 2023Fayzkand 0-0 RavshanVysshaya Liga
Jun 25, 2022Fayzkand 0-0 RavshanVysshaya Liga
Jun 21, 2022Ravshan 3-0 FayzkandVysshaya Liga
Nov 4, 2021Ravshan 2-1 FayzkandVysshaya Liga
Aug 24, 2021Fayzkand 0-0 RavshanVysshaya Liga
Apr 11, 2021Ravshan 0-0 FayzkandVysshaya Liga

Last archived meeting: Fayzkand vs Ravshan on May 14, 2023

How many goals should we expect?

Ravshan score 1.0 and concede 0.9 goals per match over their last 15; Fayzkand score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ravshan1.00.975/153/15
Fayzkand1.51.5110/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
4Ravshan20857262029

A question about Ravshan 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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Next match: Ravshan and Fayzkand

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