Match

Kompozit vs Kaluga: result 0-0 and analysis

Second League - Group 3Group 3 - 15Kick-off on October 28, 2023 at 11:00 AM (UTC)Stadion Znamya, Noginsk

Kompozit
0-0
Kaluga

Full time

What was the result of Kompozit vs Kaluga?

Kompozit and Kaluga drew 0-0 on October 28, 2023.

Official lineup for Kompozit vs Kaluga

The starting elevens fielded at kick-off.

Kompozit

  1. NN. Frasinyuk
  2. VV. Gryaznov
  1. MM. Ibragimov
  2. EE. Morev
  3. AA. Kukushkin
  4. AA. Ionov
  5. NN. Fetisov
  6. DD. Chernobay
  1. II. Khaymanov
  2. AA. Spirin
  1. VV. Kosterev

Kaluga

  1. DD. Kamenshchikov
  2. MM. Stavtsev
  1. NN. Sukhanov
  2. AA. Golubtsov
  3. TT. Abdrashitov
  4. II. Kozlov
  1. EE. Ignatovich
  2. II. Klementjev
  3. II. Rapakov
  4. AA. Gutsa
  1. AA. Gerasimov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kompozit have 7 wins, 3 draws and 5 defeats; Kaluga have 10, 3 and 2.

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

Kompozit
DateOpponentScoreCompetition
Oct 21, 2023Khimki II(away)0-3Second League - Group 3
Oct 15, 2023SKA Khabarovsk II(home)2-0Second League - Group 3
Oct 8, 2023Zenit Penza(away)2-0Second League - Group 3
Oct 1, 2023Kolomna(home)1-0Second League - Group 3
Sep 23, 2023Kvant(away)0-0Second League - Group 3
Kaluga
DateOpponentScoreCompetition
Oct 22, 2023Peresvet Podolsk(home)5-0Second League - Group 3
Oct 15, 2023Sakhalin(away)0-1Second League - Group 3
Oct 7, 2023FK Spartak Tambov(home)5-0Second League - Group 3
Oct 1, 2023Arsenal Tula II(away)0-0Second League - Group 3
Sep 25, 2023Sakhalinets(home)1-1Second League - Group 3

How many goals should we expect?

Kompozit score 1.5 and concede 1.4 goals per match over their last 15; Kaluga score 2.7 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kompozit1.51.457/158/15
Kaluga2.70.494/157/15

Over the last 15 matches in all competitions.

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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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