Match

Desna vs Veres Rivne: result 0-0 and analysis

Persha LigaRegular Season - 6Kick-off on August 26, 2016 at 03:00 PM (UTC)Olimpiysʹkyy Navchalʹno-Sportyvnyy Tsentr Chernihiv, Chernihiv

Desna
0-0
Veres Rivne

Full time

What was the result of Desna vs Veres Rivne?

Desna and Veres Rivne drew 0-0 on August 26, 2016.

Official lineup for Desna vs Veres Rivne

The starting elevens fielded at kick-off.

Desna

  1. OOleksandr Volkov
  2. EE. Kartushov
  3. OO. Filippov
  1. YYevhen Chepurnenko
  2. LL. Koberidze
  1. VVadim Melnyk
  2. MM. Maksymenko
  3. AAndrii Mostovyi
  4. OO. Chornomorets
  5. DD. Favorov
  1. KK. Makhnovskyi

Veres Rivne

  1. RR. Voloshynovych
  1. BBorys Orlovskyi
  2. AA. Kotlyar
  3. VV. Kucherov
  4. IIhor Sikorskyi
  5. RR. Stepanyuk
  1. SSerhii Borzenko
  2. OO. Zozulya
  3. VVasyl Bilyi
  4. AArtur Zapadnya
  1. BB. Kogut
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Desna have 7 wins, 4 draws and 4 defeats; Veres Rivne have 11, 1 and 3.

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

Desna
DateOpponentScoreCompetition
Aug 19, 2016Bukovyna(away)1-0Persha Liga
Aug 14, 2016Kobra(home)1-1Persha Liga
Aug 10, 2016Kobra(away)1-0Cup
Aug 5, 2016Cherkaskyi Dnipro(away)0-1Persha Liga
Jul 30, 2016Naftovyk-Ukrnafta(home)1-0Persha Liga
Veres Rivne
DateOpponentScoreCompetition
Aug 20, 2016Kramatorsk(home)3-0Persha Liga
Aug 14, 2016Kolos Kovalivka(away)1-2Persha Liga
Aug 10, 2016Kolos Kovalivka(away)2-1Cup
Aug 5, 2016Ternopil'(home)4-2Persha Liga
Jul 30, 2016Sumy(away)2-0Persha Liga

How many goals should we expect?

Desna score 1.2 and concede 0.7 goals per match over their last 15; Veres Rivne score 2.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Desna1.20.775/154/15
Veres Rivne2.10.969/159/15

Over the last 15 matches in all competitions.

A question about Desna vs Veres Rivne?

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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