Match

Dynamo Khmelnytskyi vs Real Pharm: result 1-1 and analysis

Druha LigaRegular Season - 2Kick-off on July 21, 2012 at 03:00 PM (UTC)Stadion Podillya, Khmelnytskyi

Dynamo Khmelnytskyi
1-1
Real Pharm

Full time

What was the result of Dynamo Khmelnytskyi vs Real Pharm?

Dynamo Khmelnytskyi and Real Pharm drew 1-1 on July 21, 2012.

Goalscorers

  • 53′A. KopkoReal Pharm
  • 66′S. DyachenkoDynamo Khmelnytskyi

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dynamo Khmelnytskyi have 2 wins, 5 draws and 8 defeats; Real Pharm have 5, 3 and 7.

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

Dynamo Khmelnytskyi
DateOpponentScoreCompetition
Jul 14, 2012Desna(away)0-3Druha Liga
May 25, 2012Skala Stryi(away)0-0Druha Liga
May 20, 2012Prykarpattya Ivano-Frank(home)0-1Druha Liga
May 14, 2012Chornomorets II(home)0-0Druha Liga
May 10, 2012Krystal(away)2-1Druha Liga
Real Pharm
DateOpponentScoreCompetition
May 25, 2012Sumy(away)0-1Druha Liga
May 20, 2012Cherkaskyi Dnipro(home)0-1Druha Liga
May 15, 2012Enerhiya Nova Kakhovka(away)0-8Druha Liga
May 9, 2012Yednist'(home)1-4Druha Liga
May 2, 2012UkrAhroKom(away)0-5Druha Liga

What does the head-to-head say?

Across the last 2 meetings: 1 Dynamo Khmelnytskyi win(s), 0 draw(s), 1 Real Pharm win(s).

DateScoreCompetition
Apr 22, 2012Dynamo Khmelnytskyi 2-0 Real PharmDruha Liga
Sep 3, 2011Real Pharm 2-1 Dynamo KhmelnytskyiDruha Liga

Last archived meeting: Dynamo Khmelnytskyi vs Real Pharm on Apr 22, 2012

How many goals should we expect?

Dynamo Khmelnytskyi score 0.7 and concede 1.4 goals per match over their last 15; Real Pharm score 1.1 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dynamo Khmelnytskyi0.71.446/155/15
Real Pharm1.11.954/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
10Real Pharm30142518967

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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