Match

Sumy vs Tytan Armyansk: result 0-0 and analysis

Persha LigaRegular Season - 16Kick-off on October 20, 2012 at 01:00 PM (UTC)Stadion Yuvilejnyj, Sumy

Sumy
0-0
Tytan Armyansk

Full time

What was the result of Sumy vs Tytan Armyansk?

Sumy and Tytan Armyansk drew 0-0 on October 20, 2012.

Official lineup for Sumy vs Tytan Armyansk

The starting elevens fielded at kick-off.

Sumy

  1. IIgor Melnyk
  2. BBohdan Esyp
  1. SSergiy Snytko
  2. OO. Lebedenko
  3. AAnatolii Masalov
  1. OOleg Kotelyukh
  2. SSergey Melnyk
  3. VVadym Leshchuk
  4. VVitaliy Bugayov
  5. OO. Kamertsel
  1. OOleksandr Babak

Tytan Armyansk

  1. VVitali Prokopchenko
  2. SSerhii Kravchenko
  3. AA. Gaydash
  1. AAndriy Smalko
  2. RRoman Voynarovskyi
  3. AAnton Mukhovykov
  4. VVitalii Subochev
  1. SSerhiy Karpenko
  2. AA. Maslov
  3. RR. Klimentovskyi
  1. AA. Koshelev
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sumy have 5 wins, 3 draws and 7 defeats; Tytan Armyansk have 4, 4 and 7.

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

Sumy
DateOpponentScoreCompetition
Oct 15, 2012Stal Alchevsk(away)1-3Persha Liga
Oct 10, 2012Bukovyna(home)2-1Persha Liga
Oct 5, 2012Kobra(home)0-0Persha Liga
Sep 29, 2012Kramatorsk(away)1-1Persha Liga
Sep 17, 2012Olimpik Donetsk(home)0-0Persha Liga
Tytan Armyansk
DateOpponentScoreCompetition
Oct 15, 2012Kramatorsk(home)1-3Persha Liga
Oct 10, 2012Olimpik Donetsk(away)2-0Persha Liga
Oct 5, 2012Oleksandria(home)0-0Persha Liga
Sep 29, 2012Sevastopol(away)1-2Persha Liga
Sep 17, 2012Krymteplitsia(home)2-1Persha Liga

How many goals should we expect?

Sumy score 0.7 and concede 1.3 goals per match over their last 15; Tytan Armyansk score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sumy0.71.345/155/15
Tytan Armyansk1.11.357/157/15

Over the last 15 matches in all competitions.

A question about Sumy vs Tytan Armyansk?

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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