Match

FC Tosno vs FC UFA: result 0-1 and analysis

Premier LeagueMatchday 1Kick-off on July 15, 2017 at 02:30 PM (UTC)Stadion Petrovskiy, St. Petersburg

FC Tosno
0-1
FC UFA

Full time

What was the result of FC Tosno vs FC UFA?

FC UFA won 0-1 on July 15, 2017.

Goalscorers

  • 65′Dmitri SysuevFC UFA

Official lineup for FC Tosno vs FC UFA

The starting elevens fielded at kick-off.

FC Tosno

4-4-2
  1. 10G. Melkadze
  2. 20E. Markov
  1. 17A. Zabolotny
  2. 14A. Karnitskiy
  3. 18M. Kašćelan
  4. 21V. Galiulin
  1. 26R. Dugalić
  2. 64D. Kutin
  3. 13V. Shakhov
  4. 28E. Chernov
  1. 16D. Yurchenko

FC UFA

3-5-2
  1. 44S. Igboun
  2. 21K. Fatai
  1. 98I. Oblyakov
  2. 17D. Zhivoglyadov
  3. 19Ivan Paurević
  4. 13A. Zaseev
  5. 55J. Tabidze
  1. 3P. Alikin
  2. 33A. Sukhov
  3. 20D. Tumasyan
  1. 31A. Belenov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, FC Tosno have 8 wins, 5 draws and 2 defeats; FC UFA have 6, 3 and 6.

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

FC Tosno
DateOpponentScoreCompetition
May 20, 2017Khimki(away)3-1First League
May 14, 2017Ska-khabarovsk(home)3-1First League
May 10, 2017Tambov(away)0-3First League
May 6, 2017FK Neftekhimik(away)2-0First League
Apr 29, 2017Spartak Moscow 2(home)1-1First League
FC UFA
DateOpponentScoreCompetition
May 21, 2017Ural(home)1-0Premier League
May 17, 2017FC Orenburg(away)1-1Premier League
May 14, 2017Anzhi(home)2-1Premier League
May 7, 2017Rubin(away)1-2Premier League
Apr 30, 2017Arsenal Tula(home)1-0Premier League

How many goals should we expect?

FC Tosno score 1.7 and concede 0.9 goals per match over their last 15; FC UFA score 0.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC Tosno1.70.968/157/15
FC UFA0.70.965/153/15

Over the last 15 matches in all competitions.

A question about FC Tosno vs FC UFA?

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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