Match

Real Pharm vs Mykolaiv II: result 1-1 and analysis

Druha Liga - Group BRegular Season - 6Kick-off on August 25, 2018 at 02:00 PM (UTC)Stadion FSK Ivan, Odesa

Real Pharm
1-1
Mykolaiv II

Full time

What was the result of Real Pharm vs Mykolaiv II?

Real Pharm and Mykolaiv II drew 1-1 on August 25, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Real Pharm have 7 wins, 4 draws and 4 defeats; Mykolaiv II have 4, 5 and 6.

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

Real Pharm
DateOpponentScoreCompetition
Aug 17, 2018Krystal(away)1-2Druha Liga - Group B
Aug 11, 2018Enerhiya Nova Kakhovka(home)0-0Druha Liga - Group B
Aug 4, 2018Myr(away)0-3Druha Liga - Group B
Jul 28, 2018Kryvbas KR(home)3-1Druha Liga - Group B
Jul 22, 2018Metalurh Zaporizhya(home)1-0Druha Liga - Group B
Mykolaiv II
DateOpponentScoreCompetition
Aug 16, 2018Tavriya(home)0-0Druha Liga - Group B
Aug 11, 2018Nikopol(away)3-2Druha Liga - Group B
Aug 4, 2018Kremin'(home)1-1Druha Liga - Group B
Jul 28, 2018Metalurh Zaporizhya(away)0-4Druha Liga - Group B
Jul 22, 2018Krystal(away)0-1Druha Liga - Group B

What does the head-to-head say?

Across the last 3 meetings: 2 Real Pharm win(s), 1 draw(s), 0 Mykolaiv II win(s).

DateScoreCompetition
Apr 20, 2018Mykolaiv II 1-1 Real PharmDruha Liga - Group B
Oct 11, 2017Real Pharm 2-0 Mykolaiv IIDruha Liga - Group B
Aug 10, 2017Mykolaiv II 0-3 Real PharmDruha Liga - Group B

Last archived meeting: Mykolaiv II vs Real Pharm on Apr 20, 2018

How many goals should we expect?

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

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Real Pharm1.31.167/155/15
Mykolaiv II1.31.746/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2021-22 standings
#ClubPWDLGFGAPts
14Real Pharm204214224914

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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