Match

Mykolaiv II vs Myr: result 0-1 and analysis

Druha Liga - Group BRegular Season - 20Kick-off on April 18, 2019 at 01:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv

Mykolaiv II
0-1
Myr

Full time

What was the result of Mykolaiv II vs Myr?

Myr won 0-1 on April 18, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mykolaiv II have 4 wins, 3 draws and 8 defeats; Myr have 7, 3 and 5.

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

Mykolaiv II
DateOpponentScoreCompetition
Apr 12, 2019Metalurh Zaporizhya(away)1-2Druha Liga - Group B
Apr 6, 2019Enerhiya Nova Kakhovka(away)0-2Druha Liga - Group B
Nov 9, 2018Myr(home)1-0Druha Liga - Group B
Nov 4, 2018Kryvbas KR(away)3-7Druha Liga - Group B
Oct 27, 2018Real Pharm(home)2-0Druha Liga - Group B
Myr
DateOpponentScoreCompetition
Apr 13, 2019Tavriya(home)2-1Druha Liga - Group B
Apr 6, 2019Kremin'(home)0-1Druha Liga - Group B
Nov 9, 2018Mykolaiv II(away)0-1Druha Liga - Group B
Nov 3, 2018Krystal(home)3-0Druha Liga - Group B
Oct 27, 2018Enerhiya Nova Kakhovka(away)1-0Druha Liga - Group B

What does the head-to-head say?

Across the last 5 meetings: 1 Mykolaiv II win(s), 2 draw(s), 2 Myr win(s).

DateScoreCompetition
Nov 9, 2018Mykolaiv II 1-0 MyrDruha Liga - Group B
Sep 9, 2018Myr 2-0 Mykolaiv IIDruha Liga - Group B
Apr 6, 2018Mykolaiv II 0-0 MyrDruha Liga - Group B
Oct 22, 2017Myr 1-0 Mykolaiv IIDruha Liga - Group B
Aug 20, 2017Mykolaiv II 0-0 MyrDruha Liga - Group B

Last archived meeting: Mykolaiv II vs Myr on Nov 9, 2018

How many goals should we expect?

Mykolaiv II score 0.9 and concede 1.7 goals per match over their last 15; Myr score 1.3 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mykolaiv II0.91.745/155/15
Myr1.31.138/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2020-21 standings
#ClubPWDLGFGAPts
12Mykolaiv II22151613518

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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