Match

Tambov vs Dynamo: result 1-2 and analysis

First LeagueRegular Season - 11Kick-off on September 3, 2016 at 12:30 PM (UTC)Stadion Spartak, Tambov

Tambov
1-2
Dynamo

Full time

What was the result of Tambov vs Dynamo?

Dynamo won 1-2 on September 3, 2016.

Goalscorers

  • 4′K. PanchenkoDynamo
  • 26′K. PanchenkoDynamo
  • 43′D. PoyarkovTambov (pen.)

Official lineup for Tambov vs Dynamo

The starting elevens fielded at kick-off.

Tambov

  1. 13Denis Dorozhkin
  2. 99Aleksandr Alumona
  1. 11Sergiy Shevchuk
  2. 25D. Poyarkov
  3. 4E. Ovsienko
  4. 18I. Spitsyn
  5. 19A. Mikhalev
  1. 2A. Rybin
  2. 5E. Shlyakov
  3. 7O. Chernyshov
  1. 1O. Smirnov

Dynamo

  1. 8K. Panchenko
  2. 48E. Lutsenko
  1. 10A. Zotov
  2. 11I. Temnikov
  3. 41Aleksandr Sapeta
  4. 77Anatoli Katrich
  1. 2G. Morozov
  2. 4V. Rykov
  3. 12Dmitri Belorukov
  4. 13S. Terekhov
  1. 1A. Shunin
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Tambov have 2 wins, 4 draws and 4 defeats; Dynamo have 9, 4 and 2.

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

Tambov
DateOpponentScoreCompetition
Aug 28, 2016Enisey(away)1-2First League
Aug 21, 2016Tyumen(home)0-1First League
Aug 17, 2016Shinnik Yaroslavl(away)1-2First League
Aug 13, 2016FK Sokol Saratov(home)0-0First League
Aug 6, 2016Fakel(away)0-3First League
Dynamo
DateOpponentScoreCompetition
Aug 28, 2016FC Tosno(home)0-1First League
Aug 22, 2016Spartak Moscow 2(home)2-1First League
Aug 17, 2016Luch-Energiya(home)3-2First League
Aug 13, 2016Spartak Nalchik(away)1-0First League
Aug 6, 2016Volgar Astrakhan(home)5-0First League

How many goals should we expect?

Tambov score 0.8 and concede 1.1 goals per match over their last 10; Dynamo score 1.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tambov0.81.144/105/10
Dynamo1.70.777/158/15

Over the last 10 matches in all competitions.

A question about Tambov vs Dynamo?

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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