Match

Mykolaiv vs Vovchansk: result 2-0 and analysis

Druha Liga - Group BGroup B - 12Kick-off on October 6, 2021 at 01:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv

Mykolaiv
2-0
Vovchansk

Full time

What was the result of Mykolaiv vs Vovchansk?

Mykolaiv won 2-0 on October 6, 2021.

Goalscorers

  • 67′Serhii KravchenkoMykolaiv (pen.)
  • 71′Serhii KravchenkoMykolaiv

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mykolaiv have 8 wins, 5 draws and 2 defeats; Vovchansk have 7, 3 and 5.

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

Mykolaiv
DateOpponentScoreCompetition
Oct 1, 2021Skoruk Tomakivka(home)2-0Druha Liga - Group B
Sep 26, 2021Enerhiya Nova Kakhovka(away)3-2Druha Liga - Group B
Sep 21, 2021Ruh Lviv(home)0-3Cup
Sep 17, 2021Krystal(home)2-1Druha Liga - Group B
Sep 11, 2021Yarud Mariupol'(away)2-2Druha Liga - Group B
Vovchansk
DateOpponentScoreCompetition
Oct 2, 2021Enerhiya Nova Kakhovka(home)4-0Druha Liga - Group B
Sep 26, 2021Krystal(away)1-0Druha Liga - Group B
Sep 18, 2021Yarud Mariupol'(home)1-1Druha Liga - Group B
Sep 11, 2021SK Poltava(away)2-2Druha Liga - Group B
Sep 5, 2021Peremoga(home)0-3Druha Liga - Group B

What does the head-to-head say?

Across the last 1 meetings: 1 Mykolaiv win(s), 0 draw(s), 0 Vovchansk win(s).

DateScoreCompetition
Sep 1, 2021Mykolaiv 4-1 VovchanskCup

Last archived meeting: Mykolaiv vs Vovchansk on Sep 1, 2021

How many goals should we expect?

Mykolaiv score 2.1 and concede 1.3 goals per match over their last 15; Vovchansk score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mykolaiv2.11.3212/1511/15
Vovchansk1.51.157/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Mykolaiv sit 8th in Druha Liga - Group B (30 points from 17 matches) and Vovchansk sit 9th (27 points from 20 matches).

2021-22 standings
#ClubPWDLGFGAPts
8Mykolaiv17863352430
9Vovchansk20767272527

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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