Match

Khimik-Arsenal vs Metallurg Vidnoye: result 2-1 and analysis

Second League - Group 3Group 3 - 29Kick-off on June 10, 2021 at 12:00 PM (UTC)Stadion Khimik, Novomoskovsk

Khimik-Arsenal
2-1
Metallurg Vidnoye

Full time

What was the result of Khimik-Arsenal vs Metallurg Vidnoye?

Khimik-Arsenal won 2-1 on June 10, 2021.

Goalscorers

  • 61′Valeri KharitonovKhimik-Arsenal
  • 72′269075Metallurg Vidnoye
  • 75′R. IzotovKhimik-Arsenal

What is the recent form of both teams?

Over their last 15 matches in all competitions, Khimik-Arsenal have 6 wins, 4 draws and 5 defeats; Metallurg Vidnoye have 3, 1 and 11.

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

Khimik-Arsenal
DateOpponentScoreCompetition
Jun 4, 2021Sakhalin(away)2-1Second League - Group 3
May 30, 2021Khimki II(home)2-0Second League - Group 3
May 25, 2021Kvant(away)2-1Second League - Group 3
May 20, 2021Strogino(away)2-2Second League - Group 3
May 15, 2021Salyut-Belgorod(home)0-4Second League - Group 3
Metallurg Vidnoye
DateOpponentScoreCompetition
Jun 4, 2021Ryazan(home)2-6Second League - Group 3
May 30, 2021Krasnyy-SGAFKST(away)1-0Second League - Group 3
May 25, 2021Metallurg Lipetsk(home)0-1Second League - Group 3
May 21, 2021Kaluga(away)0-4Second League - Group 3
May 15, 2021Avangard Kursk(home)3-1Second League - Group 3

What does the head-to-head say?

Across the last 1 meetings: 1 Khimik-Arsenal win(s), 0 draw(s), 0 Metallurg Vidnoye win(s).

DateScoreCompetition
Nov 8, 2020Metallurg Vidnoye 2-3 Khimik-ArsenalSecond League - Group 3

Last archived meeting: Metallurg Vidnoye vs Khimik-Arsenal on Nov 8, 2020

How many goals should we expect?

Khimik-Arsenal score 1.9 and concede 1.6 goals per match over their last 15; Metallurg Vidnoye score 0.9 and concede 2.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Khimik-Arsenal1.91.6310/1511/15
Metallurg Vidnoye0.92.926/1510/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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