Match

Znamya Noginsk vs Krasnyy-SGAFKST: result 2-1 and analysis

Second League - Group 3Group 3 - 21Kick-off on April 29, 2021 at 02:00 PM (UTC)Stadion Znamya, Noginsk

Znamya Noginsk
2-1
Krasnyy-SGAFKST

Full time

What was the result of Znamya Noginsk vs Krasnyy-SGAFKST?

Znamya Noginsk won 2-1 on April 29, 2021.

Goalscorers

  • 6′Roman PavlyuchenkoZnamya Noginsk
  • 66′D. ShilovKrasnyy-SGAFKST
  • 90′N. SupaginZnamya Noginsk

What is the recent form of both teams?

Over their last 15 matches in all competitions, Znamya Noginsk have 8 wins, 4 draws and 3 defeats; Krasnyy-SGAFKST have 7, 4 and 4.

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

Znamya Noginsk
DateOpponentScoreCompetition
Apr 23, 2021FK Sokol Saratov(away)0-1Second League - Group 3
Apr 18, 2021Metallurg Vidnoye(home)3-1Second League - Group 3
Apr 11, 2021Sakhalin(home)1-0Second League - Group 3
Apr 6, 2021Avangard Kursk(home)0-2Second League - Group 3
Apr 1, 2021Metallurg Lipetsk(away)2-1Second League - Group 3
Krasnyy-SGAFKST
DateOpponentScoreCompetition
Apr 23, 2021Kvant(away)1-1Second League - Group 3
Apr 18, 2021Khimik-Arsenal(home)0-0Second League - Group 3
Apr 11, 2021Ryazan(away)1-0Second League - Group 3
Apr 7, 2021Khimki II(home)3-1Second League - Group 3
Apr 2, 2021Fakel II(home)0-1Second League - Group 3

What does the head-to-head say?

Across the last 1 meetings: 0 Znamya Noginsk win(s), 1 draw(s), 0 Krasnyy-SGAFKST win(s).

DateScoreCompetition
Aug 23, 2020Krasnyy-SGAFKST 1-1 Znamya NoginskSecond League - Group 3

Last archived meeting: Krasnyy-SGAFKST vs Znamya Noginsk on Aug 23, 2020

How many goals should we expect?

Znamya Noginsk score 1.3 and concede 0.7 goals per match over their last 15; Krasnyy-SGAFKST score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Znamya Noginsk1.30.757/155/15
Krasnyy-SGAFKST1.51.157/157/15

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

Other matches in the same round

Ready to know everything about football?