Match

Mykolaiv II vs Dnipro-1: result 0-3 and analysis

Druha Liga - Group BRegular Season - 20Kick-off on November 3, 2017 at 12:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv

Mykolaiv II
0-3
Dnipro-1

Full time

What was the result of Mykolaiv II vs Dnipro-1?

Dnipro-1 won 0-3 on November 3, 2017.

Goalscorers

  • 28′I. KogutDnipro-1
  • 60′I. KogutDnipro-1
  • 70′Yaroslav PoplavkaDnipro-1

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; Dnipro-1 have 11, 2 and 2.

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

Mykolaiv II
DateOpponentScoreCompetition
Oct 29, 2017Inhulets II(away)0-0Druha Liga - Group B
Oct 22, 2017Myr(away)0-1Druha Liga - Group B
Oct 16, 2017Enerhiya Nova Kakhovka(home)1-4Druha Liga - Group B
Oct 11, 2017Real Pharm(away)0-2Druha Liga - Group B
Oct 8, 2017Nikopol(home)0-0Druha Liga - Group B
Dnipro-1
DateOpponentScoreCompetition
Oct 30, 2017Enerhiya Nova Kakhovka(home)2-0Druha Liga - Group B
Oct 25, 2017Chornomorets(home)0-0Cup
Oct 22, 2017Sudnobudivnyk(away)3-0Druha Liga - Group B
Oct 20, 2017Real Pharm(away)3-0Druha Liga - Group B
Oct 15, 2017Nikopol(home)2-1Druha Liga - Group B

What does the head-to-head say?

In the last meeting: 0 Mykolaiv II wins, 0 draws, 1 Dnipro-1 win.

DateScoreCompetition
Aug 30, 2017Dnipro-1 3-0 Mykolaiv IIDruha Liga - Group B

Last archived meeting: Dnipro-1 vs Mykolaiv II on Aug 30, 2017

How many goals should we expect?

Mykolaiv II score 1.0 and concede 1.8 goals per match over their last 15; Dnipro-1 score 1.9 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mykolaiv II1.01.846/158/15
Dnipro-11.90.4103/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2020-21 standings
#ClubPWDLGFGAPts
12Mykolaiv II22151613518

A question about Mykolaiv II vs Dnipro-1?

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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