Match

Torpedo Moskva vs Baltika: result 2-0 and analysis

First LeagueRegular Season - 2Kick-off on July 13, 2019 at 02:00 PM (UTC)Futbol'noe pole 1 Akademiya Spartak im. F. Cherenkova, Moskva

Torpedo Moskva
2-0
Baltika

Full time

What was the result of Torpedo Moskva vs Baltika?

Torpedo Moskva won 2-0 on July 13, 2019.

Goalscorers

  • 15′S. BozhinTorpedo Moskva
  • 59′A. GaloyanTorpedo Moskva

Official lineup for Torpedo Moskva vs Baltika

The starting elevens fielded at kick-off.

Torpedo Moskva

  1. 10I. Lebedenko
  2. 33I. Sergeev
  1. 4A. Eliseev
  2. 7A. Ryazantsev
  3. 24A. Lyakh
  4. 77I. Samoshnikov
  1. 3Pavel Kaloshin
  2. 16M. Shorkin
  3. 28R. Magal
  4. 47S. Bozhin
  1. 22Nikolay Tsygan

Baltika

  1. 11M. Markin
  1. 3M. Plopa
  2. 17A. Chochiev
  3. 19A. Shavaev
  4. 23Stanislav Prichinenko
  5. 96M. Kuzmin
  6. 4E. Ovsienko
  1. 10I. Alshin
  2. 27I. Maklakov
  3. 44M. Tishkin
  1. 32E. Pomazan
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What is the recent form of both teams?

In their last match in all competitions, Torpedo Moskva have 1 win, 0 draws and 0 defeats; Baltika have 4, 5 and 6.

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

Torpedo Moskva
DateOpponentScoreCompetition
Jul 7, 2019Fakel(away)1-0First League
Baltika
DateOpponentScoreCompetition
Jul 7, 2019Spartak Moscow 2(home)0-1First League
May 25, 2019Tyumen(home)1-1First League
May 19, 2019Mordovia Saransk(away)0-1First League
May 11, 2019Ska-khabarovsk(home)1-0First League
May 4, 2019Krasnodar 2(away)1-2First League

How many goals should we expect?

Torpedo Moskva score 1.0 and concede 0.0 goals per match in their last match; Baltika score 0.8 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Torpedo Moskva1.00.010/10/1
Baltika0.80.937/153/15

Over the last match in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3Torpedo Moskva14833261127

A question about Torpedo Moskva vs Baltika?

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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Next match: Torpedo Moskva and Baltika

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