Match

Dynamo vs FC Tosno: result 0-1 and analysis

First LeagueRegular Season - 10Kick-off on August 28, 2016 at 02:00 PM (UTC)VTB Arena, Moskva

Dynamo
0-1
FC Tosno

Full time

What was the result of Dynamo vs FC Tosno?

FC Tosno won 0-1 on August 28, 2016.

Goalscorers

  • 78′M. KašćelanFC Tosno

Official lineup for Dynamo vs FC Tosno

The starting elevens fielded at kick-off.

Dynamo

  1. 8K. Panchenko
  2. 21F. Bećiraj
  1. 10A. Zotov
  2. 11I. Temnikov
  3. 27I. Denisov
  4. 41Aleksandr Sapeta
  1. 2G. Morozov
  2. 3S. Holmén
  3. 4V. Rykov
  4. 12Dmitri Belorukov
  1. 1A. Shunin

FC Tosno

  1. 17A. Zabolotny
  2. 19K. Garbuz
  1. 9Rustem Mukhametshin
  2. 11A. Makarov
  3. 18M. Kašćelan
  4. 21V. Galiulin
  5. 88M. Palienko
  1. 25Andrey Buyvolov
  2. 26R. Dugalić
  3. 57R. Abazov
  1. 22A. Nigmatullin
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Dynamo have 10 wins, 4 draws and 1 defeat; FC Tosno have 5, 3 and 1.

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

Dynamo
DateOpponentScoreCompetition
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
Jul 31, 2016Zenit 2(away)1-1First League
FC Tosno
DateOpponentScoreCompetition
Aug 21, 2016Enisey(home)1-2First League
Aug 17, 2016Tyumen(away)2-1First League
Aug 13, 2016Shinnik Yaroslavl(home)0-0First League
Aug 6, 2016FK Sokol Saratov(away)2-1First League
Jul 31, 2016Fakel(home)3-1First League

How many goals should we expect?

Dynamo score 1.8 and concede 0.7 goals per match over their last 15; FC Tosno score 1.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dynamo1.80.778/159/15
FC Tosno1.30.836/94/9

Over the last 15 matches in all competitions.

A question about Dynamo vs FC Tosno?

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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