Match

Amkar vs FC Tosno: result 0-0 and analysis

Premier LeagueMatchday 13Kick-off on October 16, 2017 at 02:30 PM (UTC)Stadion Zvezda, Perm'

Amkar
0-0
FC Tosno

Full time

What was the result of Amkar vs FC Tosno?

Amkar and FC Tosno drew 0-0 on October 16, 2017.

Official lineup for Amkar vs FC Tosno

The starting elevens fielded at kick-off.

Amkar

3-4-3
  1. 14Stanislav Prokofjev
  2. 66S. Ezatolahi
  3. 20Pavel Komolov
  1. 5J. Gol
  2. 16S. Balanovich
  3. 6S. Condé
  4. 19B. Idowu
  1. 2A. Miljković
  2. 18M. Sivakov
  3. 41Dmitri Belorukov
  1. 1A. Nigmatullin

FC Tosno

4-2-2-2
  1. 20E. Markov
  2. 17A. Zabolotny
  1. 22R. Mirzov
  2. 88M. Poletanović
  1. 15Nuno Rocha
  2. 14A. Karnitskiy
  1. 26R. Dugalić
  2. 64D. Kutin
  3. 28E. Chernov
  4. 25Andrey Buyvolov
  1. 16D. Yurchenko
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Amkar have 4 wins, 3 draws and 8 defeats; FC Tosno have 5, 3 and 7.

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

Amkar
DateOpponentScoreCompetition
Sep 30, 2017Rubin(away)1-0Premier League
Sep 25, 2017Ska-khabarovsk(home)3-0Premier League
Sep 18, 2017Lokomotiv(away)1-0Premier League
Sep 8, 2017CSKA Moscow(home)0-1Premier League
Aug 26, 2017Arsenal Tula(away)1-0Premier League
FC Tosno
DateOpponentScoreCompetition
Sep 30, 2017Akhmat(home)1-0Premier League
Sep 24, 2017Ural(away)1-3Premier League
Sep 17, 2017Spartak Moscow(home)2-2Premier League
Sep 9, 2017Anzhi(home)2-2Premier League
Aug 26, 2017Rubin(away)0-1Premier League

How many goals should we expect?

Amkar score 0.5 and concede 0.8 goals per match over their last 15; FC Tosno score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Amkar0.50.862/153/15
FC Tosno1.11.337/158/15

Over the last 15 matches in all competitions.

A question about Amkar 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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