Match

Khimki II vs Kaluga: result 1-0 and analysis

Second League - Group 3Group 3 - 5Kick-off on September 7, 2020 at 11:00 AM (UTC)Stadion Novye Khimki, Khimki

Khimki II
1-0
Kaluga

Full time

What was the result of Khimki II vs Kaluga?

Khimki II won 1-0 on September 7, 2020.

Goalscorers

  • 33′B. MishukovKhimki II

Official lineup for Khimki II vs Kaluga

The starting elevens fielded at kick-off.

Khimki II

  1. DD. Massurenko
  2. MM. Zhumabekov
  3. AA. Olenev
  1. GG. Zaseev
  2. BB. Mishukov
  3. SSergey Mizgirev
  4. II. Zaytsev
  5. II. Repov
  6. AA. Tikhomirov
  1. MM. Tikhonov
  2. YY. Kharlanov

Kaluga

  1. AA. Yarkin
  1. VV. Gevlich
  2. DD. Romanyuk
  3. NN. Sukhanov
  4. AA. Volgin
  5. SS. Khrapov
  6. AA. Churinov
  1. SSergey Avagimyan
  2. AA. Novitskiy
  3. DD. Demin
  1. MMikhail Borodko
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Khimki II have 1 win, 0 draws and 3 defeats; Kaluga have 5, 5 and 5.

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

Khimki II
DateOpponentScoreCompetition
Aug 29, 2020Avangard Kursk(away)2-3Second League - Group 3
Aug 23, 2020FK Sokol Saratov(home)1-2Second League - Group 3
Aug 14, 2020Metallurg Vidnoye(away)0-3Second League - Group 3
Aug 10, 2020Sakhalin(home)2-0Second League - Group 3
Kaluga
DateOpponentScoreCompetition
Sep 2, 2020Salyut-Belgorod(home)0-0Cup
Aug 29, 2020Kvant(home)2-0Second League - Group 3
Aug 23, 2020Khimik-Arsenal(away)0-1Second League - Group 3
Aug 19, 2020Avangard Kursk(away)2-1Cup
Aug 15, 2020Ryazan(home)1-2Second League - Group 3

How many goals should we expect?

Khimki II score 1.3 and concede 2.0 goals per match over their last 4; Kaluga score 1.2 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Khimki II1.32.012/43/4
Kaluga1.21.365/156/15

Over the last 4 matches in all competitions.

A question about Khimki II vs Kaluga?

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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