Match

Krasnyy-SGAFKST vs Sakhalin: result 4-3 and analysis

Second League - Group 3Group 3 - 26Kick-off on May 25, 2021 at 02:00 PM (UTC)

Krasnyy-SGAFKST
4-3
Sakhalin

Full time

What was the result of Krasnyy-SGAFKST vs Sakhalin?

Krasnyy-SGAFKST won 4-3 on May 25, 2021.

Goalscorers

  • 24′E. MatrakhovSakhalin
  • 42′Roman KurazhovKrasnyy-SGAFKST
  • 53′I. DvoryashinKrasnyy-SGAFKST
  • 59′S. BelyakovKrasnyy-SGAFKST
  • 65′E. MatrakhovSakhalin (pen.)
  • 69′S. BelyakovKrasnyy-SGAFKST
  • 89′M. BatrakovSakhalin

What is the recent form of both teams?

Over their last 15 matches in all competitions, Krasnyy-SGAFKST have 6 wins, 2 draws and 7 defeats; Sakhalin have 3, 5 and 7.

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

Krasnyy-SGAFKST
DateOpponentScoreCompetition
May 21, 2021Saturn Ramenskoye(away)2-6Second League - Group 3
May 15, 2021Metallurg Lipetsk(home)2-0Second League - Group 3
May 10, 2021Strogino(away)0-5Second League - Group 3
May 3, 2021Salyut-Belgorod(home)2-1Second League - Group 3
Apr 29, 2021Znamya Noginsk(away)1-2Second League - Group 3
Sakhalin
DateOpponentScoreCompetition
May 21, 2021Fakel II(away)0-0Second League - Group 3
May 15, 2021Kaluga(home)1-1Second League - Group 3
May 10, 2021Avangard Kursk(home)0-1Second League - Group 3
May 3, 2021FK Sokol Saratov(home)1-1Second League - Group 3
Apr 29, 2021Metallurg Vidnoye(home)3-2Second League - Group 3

What does the head-to-head say?

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

DateScoreCompetition
Oct 24, 2020Sakhalin 4-0 Krasnyy-SGAFKSTSecond League - Group 3

Last archived meeting: Sakhalin vs Krasnyy-SGAFKST on Oct 24, 2020

How many goals should we expect?

Krasnyy-SGAFKST score 1.4 and concede 1.9 goals per match over their last 15; Sakhalin score 0.9 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Krasnyy-SGAFKST1.41.938/159/15
Sakhalin0.91.446/156/15

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?