Match

Real Pharm vs SKAD-Yalpuh: result 5-0 and analysis

Druha LigaRegular Season - 14Kick-off on October 22, 2011 at 11:00 AM (UTC)Stadion FSK Ivan, Odesa

Real Pharm
5-0
SKAD-Yalpuh

Full time

What was the result of Real Pharm vs SKAD-Yalpuh?

Real Pharm won 5-0 on October 22, 2011.

What is the recent form of both teams?

Over their last 14 matches in all competitions, Real Pharm have 3 wins, 6 draws and 5 defeats; SKAD-Yalpuh have 2, 0 and 12.

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

Real Pharm
DateOpponentScoreCompetition
Oct 15, 2011Sumy(home)2-2Druha Liga
Oct 8, 2011Cherkaskyi Dnipro(away)0-0Druha Liga
Oct 1, 2011Enerhiya Nova Kakhovka(home)1-4Druha Liga
Sep 24, 2011Yednist'(away)2-0Druha Liga
Sep 17, 2011UkrAhroKom(home)0-1Druha Liga
SKAD-Yalpuh
DateOpponentScoreCompetition
Oct 15, 2011Prykarpattya Ivano-Frank(home)1-6Druha Liga
Oct 8, 2011Sumy(away)0-6Druha Liga
Oct 1, 2011Cherkaskyi Dnipro(home)0-1Druha Liga
Sep 24, 2011Enerhiya Nova Kakhovka(away)0-3Druha Liga
Sep 17, 2011Yednist'(home)3-1Druha Liga

What does the head-to-head say?

In the last meeting: 0 Real Pharm wins, 0 draws, 1 SKAD-Yalpuh win.

DateScoreCompetition
Jul 23, 2011SKAD-Yalpuh 2-1 Real PharmDruha Liga

Last archived meeting: SKAD-Yalpuh vs Real Pharm on Jul 23, 2011

How many goals should we expect?

Real Pharm score 1.1 and concede 1.4 goals per match over their last 14; SKAD-Yalpuh score 0.7 and concede 3.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Real Pharm1.11.458/147/14
SKAD-Yalpuh0.73.306/1412/14

Over the last 14 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
10Real Pharm30142518967

A question about Real Pharm vs SKAD-Yalpuh?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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