Match

Polotsk vs SKVICH: result 1-3 and analysis

1. DivisionRegular Season - 15Kick-off on July 28, 2012 at 03:00 PM (UTC)Stadyen Spartak, Polatsk

Polotsk
1-3
SKVICH

Full time

What was the result of Polotsk vs SKVICH?

SKVICH won 1-3 on July 28, 2012.

Goalscorers

  • 55′Y. MarkhelSKVICH (pen.)
  • 68′Y. MarkhelSKVICH
  • 82′Igor KholodkovPolotsk (pen.)
  • 90′Y. MarkhelSKVICH (pen.)

Official lineup for Polotsk vs SKVICH

The starting elevens fielded at kick-off.

Polotsk

  1. IIgor Kholodkov
  1. VV. Kruglov
  2. OO. Molchanov
  3. AA. Sharay
  4. MM. Gorahovski
  1. EE. Korenevskiy
  2. PP. Titorov
  3. AA. Plyasunov
  4. PP. Markov
  5. AAleksandr Maletin
  1. VV. Zhurov

SKVICH

  1. DDenis Sashcheko
  2. VVladimir Margulets
  3. SS. Shumanov
  4. PP. Shmigero
  5. YY. Markhel
  6. II. Sulim
  1. RRoman Gaev
  2. EEvgeniy Branovitskiy
  3. VVladimir Shibeko
  4. MM. Volodko
  1. VVitali Makauchyk
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Polotsk have 3 wins, 3 draws and 7 defeats; SKVICH have 6, 4 and 3.

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

Polotsk
DateOpponentScoreCompetition
Jul 14, 2012Byaroza 2010(away)0-01. Division
Jul 8, 2012Sputnik(home)0-51. Division
Jul 4, 2012FC Dnepr Mogilev(away)0-51. Division
Jun 30, 2012Granit(home)2-11. Division
Jun 23, 2012FC Slutsk(away)0-41. Division
SKVICH
DateOpponentScoreCompetition
Jul 14, 2012Smorgon(home)5-01. Division
Jul 4, 2012Byaroza 2010(away)1-11. Division
Jun 30, 2012Sputnik(home)0-11. Division
Jun 23, 2012FC Dnepr Mogilev(away)0-11. Division
Jun 16, 2012Granit(home)2-21. Division

How many goals should we expect?

Polotsk score 0.6 and concede 1.8 goals per match over their last 13; SKVICH score 1.5 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Polotsk0.61.834/135/13
SKVICH1.50.664/134/13

Over the last 13 matches in all competitions.

A question about Polotsk vs SKVICH?

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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