Match

Stal Kamianske vs Desna: result 1-0 and analysis

Persha LigaRegular Season - 13Kick-off on October 19, 2014 at 11:00 AM (UTC)Stadion Metallurh, Kamyans'ke

Stal Kamianske
1-0
Desna

Full time

What was the result of Stal Kamianske vs Desna?

Stal Kamianske won 1-0 on October 19, 2014.

Goalscorers

  • 16′Vasyl BilyiStal Kamianske

Official lineup for Stal Kamianske vs Desna

The starting elevens fielded at kick-off.

Stal Kamianske

  1. YYuriy Pleshakov
  2. SS. Kulish
  1. RR. Karasiuk
  2. MM. Kalenchuk
  3. OOleg Shutov
  4. VVitaliy Dnistryan
  5. VV. Kucherov
  1. OO. Brynko
  2. VVasyl Bilyi
  3. VV. Adamyuk
  1. YY. Popovych

Desna

  1. EE. Kartushov
  2. MM. Agapov
  1. PPetr Kondratyuk
  2. MMykhailo Kozak
  3. VVadym Bovtruk
  1. VVadim Melnyk
  2. YYarema Kavatsiv
  3. PP. Shchedrakov
  4. RR. Sukhomlynov
  5. VVadym Zhuk
  1. SSerhii Sitalo
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Stal Kamianske have 8 wins, 6 draws and 1 defeat; Desna have 6, 4 and 5.

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

Stal Kamianske
DateOpponentScoreCompetition
Oct 11, 2014Naftovyk-Ukrnafta(away)0-0Persha Liga
Oct 5, 2014Ternopil'(away)1-2Persha Liga
Sep 28, 2014Chornomorets(home)2-1Cup
Sep 20, 2014Dynamo Kyiv II(away)0-0Persha Liga
Sep 13, 2014Zirka(home)2-1Persha Liga
Desna
DateOpponentScoreCompetition
Oct 11, 2014Ternopil'(home)0-0Persha Liga
Oct 4, 2014Bukovyna(away)2-0Persha Liga
Sep 27, 2014Dynamo Kyiv II(home)2-1Persha Liga
Sep 20, 2014Zirka(away)2-0Persha Liga
Sep 13, 2014Hirnyk-Sport(home)4-0Persha Liga

How many goals should we expect?

Stal Kamianske score 1.7 and concede 0.7 goals per match over their last 15; Desna score 1.1 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Stal Kamianske1.70.778/156/15
Desna1.10.784/154/15

Over the last 15 matches in all competitions.

A question about Stal Kamianske vs Desna?

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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