Match

Yadro St. Petersburg vs Khimik Dzerzhinsk: result 2-3 and analysis

Second League - Group 2Group 2 - 2nd Phase - 1Kick-off on April 2, 2023 at 10:30 AM (UTC)Stadion Nova Arena, Sankt-Peterburg (St. Petersburg)

Yadro St. Petersburg
2-3
Khimik Dzerzhinsk

Full time

What was the result of Yadro St. Petersburg vs Khimik Dzerzhinsk?

Khimik Dzerzhinsk won 2-3 on April 2, 2023.

Goalscorers

  • 14′Y. ShatalinYadro St. Petersburg
  • 31′A. ShirokovKhimik Dzerzhinsk
  • 33′I. BelyakovKhimik Dzerzhinsk
  • 79′S. MatyashYadro St. Petersburg
  • 81′D. KhramovKhimik Dzerzhinsk

What is the recent form of both teams?

Over their last 15 matches in all competitions, Yadro St. Petersburg have 3 wins, 5 draws and 7 defeats; Khimik Dzerzhinsk have 3, 5 and 7.

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

Yadro St. Petersburg
DateOpponentScoreCompetition
Nov 13, 2022Rodina Moskva III(home)4-1Second League - Group 2
Nov 9, 2022Zvezda St. Petersburg(away)2-3Second League - Group 2
Nov 5, 2022Yenisey II(away)2-2Second League - Group 2
Oct 30, 2022Elektron VN(home)0-2Second League - Group 2
Oct 24, 2022Zorkiy(away)2-4Second League - Group 2
Khimik Dzerzhinsk
DateOpponentScoreCompetition
Feb 19, 2023Chayka(home)0-1Friendlies Clubs
Nov 13, 2022Spartak Kostroma(away)0-1Second League - Group 2
Nov 9, 2022Torpedo Vladimir(home)2-3Second League - Group 2
Nov 5, 2022Znamya Truda(away)2-2Second League - Group 2
Oct 30, 2022Tekstilshchik(home)1-0Second League - Group 2

How many goals should we expect?

Yadro St. Petersburg score 1.5 and concede 1.9 goals per match over their last 15; Khimik Dzerzhinsk score 0.9 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Yadro St. Petersburg1.51.9112/1511/15
Khimik Dzerzhinsk0.91.458/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
1Khimik Dzerzhinsk121011311131

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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