Match

Ternopil' vs Dynamo Kyiv II: result 1-0 and analysis

Persha LigaRegular Season - 8Kick-off on September 14, 2014 at 02:00 PM (UTC)Stadion Mis'kyj, Ternopil'

Ternopil'
1-0
Dynamo Kyiv II

Full time

What was the result of Ternopil' vs Dynamo Kyiv II?

Ternopil' won 1-0 on September 14, 2014.

Goalscorers

  • 62′V. BogdanovTernopil'

Official lineup for Ternopil' vs Dynamo Kyiv II

The starting elevens fielded at kick-off.

Ternopil'

  1. II. Medynskyi
  2. RR. Voloshynovych
  3. BB. Semenets
  1. VV. Bogdanov
  2. AA. Kondzolka
  3. RR. Gavrilyuk
  1. II. Kurilo
  2. SS. Atlasyuk
  3. AA. Dubchak
  4. SS. Klekot
  1. MMykola Pletenytsky

Dynamo Kyiv II

  1. AA. Polyarus
  2. AAkhlidin Israilov
  3. OO. Maik
  4. VVitalii Hemeha
  5. RR. Yaremchuk
  1. OO. Savchenko
  1. DD. Ryzhuk
  2. OO. Chornomorets
  3. II. Trubochkin
  4. OO. Azatskyi
  1. HH. Bushchan
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Ternopil' have 6 wins, 7 draws and 2 defeats; Dynamo Kyiv II have 5, 4 and 6.

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

Ternopil'
DateOpponentScoreCompetition
Sep 10, 2014Nyva Ternopil(home)2-2Persha Liga
Sep 6, 2014Zirka(away)1-5Persha Liga
Aug 31, 2014Hirnyk-Sport(home)2-2Persha Liga
Aug 27, 2014Poltava(away)0-0Persha Liga
Aug 22, 2014Oleksandria(home)2-2Cup
Dynamo Kyiv II
DateOpponentScoreCompetition
Sep 6, 2014Bukovyna(home)2-0Persha Liga
Sep 1, 2014Naftovyk-Ukrnafta(away)0-0Persha Liga
Aug 27, 2014Zirka(away)0-2Persha Liga
Aug 15, 2014Hirnyk-Sport(home)1-4Persha Liga
Aug 9, 2014Poltava(away)0-1Persha Liga

How many goals should we expect?

Ternopil' score 1.7 and concede 1.1 goals per match over their last 15; Dynamo Kyiv II score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ternopil'1.71.168/159/15
Dynamo Kyiv II1.21.157/156/15

Over the last 15 matches in all competitions.

A question about Ternopil' vs Dynamo Kyiv II?

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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