Match

Myr vs Kramatorsk: result 1-0 and analysis

Cup2nd Preliminary RoundKick-off on August 10, 2016 at 02:00 PM (UTC)Stadion Zatys, Hornostayivka

Myr
1-0
Kramatorsk

Full time

What was the result of Myr vs Kramatorsk?

Myr won 1-0 on August 10, 2016.

Goalscorers

  • 79′Vladyslav SavchenkoMyr

Official lineup for Myr vs Kramatorsk

The starting elevens fielded at kick-off.

Myr

  1. II. Dotsenko
  1. VVladyslav Savchenko
  2. YYuriy Komyagin
  3. AA. Tsurupin
  1. MMykhailo Laptev
  2. PPavlo Chmelenko
  3. YY. Rafalskiy
  4. DDmytro Tyshchenko
  5. OO. Tomenko
  6. DDmytro Garvanko
  1. RR. Gurin

Kramatorsk

  1. VVladyslav Kabanyuk
  2. YYaroslav Brydun
  1. MM. Vorobey
  2. IIgor Malysh
  3. VV. Sobko
  4. MM. Polyulyakh
  5. VVitalii Tymofienko
  6. YY. Kovalenko
  1. VV. Ermakov
  2. DDmytro Ulyanov
  1. AArtur Denchuk
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Myr have 5 wins, 2 draws and 8 defeats; Kramatorsk have 2, 7 and 6.

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

Myr
DateOpponentScoreCompetition
Aug 5, 2016Nikopol(home)3-1Druha Liga
Jul 30, 2016Metalurh Zaporizhya(away)1-0Druha Liga
Jul 24, 2016Balkany Zorya(home)0-0Druha Liga
Jun 1, 2016Arsenal Kyiv(home)2-3Druha Liga
May 27, 2016Enerhiya Nova Kakhovka(away)0-2Druha Liga
Kramatorsk
DateOpponentScoreCompetition
Aug 5, 2016Kobra(away)0-0Persha Liga
Jul 30, 2016Cherkaskyi Dnipro(home)0-1Persha Liga
Jul 24, 2016Naftovyk-Ukrnafta(away)1-1Persha Liga
Jun 1, 2016FC Mariupol(home)1-2Persha Liga
May 27, 2016Desna(away)1-3Persha Liga

How many goals should we expect?

Myr score 1.3 and concede 1.7 goals per match over their last 15; Kramatorsk score 0.6 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Myr1.31.757/158/15
Kramatorsk0.61.166/153/15

Over the last 15 matches in all competitions.

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

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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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