Match

Sevastopol vs Odesa: result 1-0 and analysis

Persha LigaRegular Season - 15Kick-off on October 10, 2011 at 04:00 PM (UTC)SK Sevastopol', Sevastopol'

Sevastopol
1-0
Odesa

Full time

What was the result of Sevastopol vs Odesa?

Sevastopol won 1-0 on October 10, 2011.

Goalscorers

  • 8′O. ZhabokritskiiSevastopol

Official lineup for Sevastopol vs Odesa

The starting elevens fielded at kick-off.

Sevastopol

  1. BB. Ibraimi
  2. YYuriy Pleshakov
  1. YY. Bredun
  2. RRoman Voynarovskyi
  3. OO. Zhabokritskii
  4. AAnton Kramar
  1. MM. Ghvinianidze
  2. OOleg Shandruk
  3. AA. Shevelyukhin
  4. SS. Voronin
  1. II. Lytovka

Odesa

  1. AAleksandr Kosyrin
  2. KKonstantin Balabanov
  1. VValentin Poltavets
  2. SSerhii Platunov
  3. KK. Parkhomenko
  1. AAnatolii Oprya
  2. SSergey Bilozor
  3. SSergey Melnyk
  4. DDmytro Belov
  5. DD. Pospelov
  1. OO. Lavrentsov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sevastopol have 8 wins, 4 draws and 3 defeats; Odesa have 5, 4 and 6.

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

Sevastopol
DateOpponentScoreCompetition
Oct 5, 2011Lviv(away)2-0Persha Liga
Sep 30, 2011Dynamo Kyiv II(home)1-0Persha Liga
Sep 25, 2011Nyva Vinnytsya(away)0-0Persha Liga
Sep 21, 2011Stal Kamianske(away)1-2Cup
Sep 16, 2011Mykolaiv(home)3-0Persha Liga
Odesa
DateOpponentScoreCompetition
Oct 5, 2011Krymteplitsia(home)1-1Persha Liga
Sep 30, 2011Bukovyna(away)0-1Persha Liga
Sep 25, 2011Metalurh Zaporizhya(home)0-1Persha Liga
Sep 15, 2011Hoverla(home)0-1Persha Liga
Sep 11, 2011Lviv(away)4-1Persha Liga

How many goals should we expect?

Sevastopol score 1.1 and concede 0.5 goals per match over their last 15; Odesa score 1.4 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sevastopol1.10.5104/154/15
Odesa1.41.147/157/15

Over the last 15 matches in all competitions.

A question about Sevastopol vs Odesa?

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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