Match

SKA Rostov vs Biolog: result 2-2 and analysis

Second League - Group 1Group 1 - 31Kick-off on May 16, 2022 at 02:00 PM (UTC)Stadion Trud, Rostov-na-Donu

SKA Rostov
2-2
Biolog

Full time

What was the result of SKA Rostov vs Biolog?

SKA Rostov and Biolog drew 2-2 on May 16, 2022.

Goalscorers

  • 10′A. FedchukSKA Rostov
  • 17′D. PereverzevBiolog
  • 54′D. PereverzevBiolog
  • 74′A. FedchukSKA Rostov (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, SKA Rostov have 9 wins, 2 draws and 4 defeats; Biolog have 5, 5 and 5.

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

SKA Rostov
DateOpponentScoreCompetition
May 12, 2022Essentuki(away)2-1Second League - Group 1
May 5, 2022Chernomorets(home)3-0Second League - Group 1
Apr 30, 2022Dinamo Stavropol(away)2-1Second League - Group 1
Apr 18, 2022Tuapse(home)4-0Second League - Group 1
Apr 11, 2022Rotor-2(away)7-0Second League - Group 1
Biolog
DateOpponentScoreCompetition
May 12, 2022Tuapse(home)1-0Second League - Group 1
May 6, 2022Rotor-2(away)3-1Second League - Group 1
Apr 30, 2022Dinamo Makhachkala(home)0-4Second League - Group 1
Apr 23, 2022Forte Taganrog(away)2-2Second League - Group 1
Apr 17, 2022Kuban Kholding(home)2-5Second League - Group 1

What does the head-to-head say?

Across the last 3 meetings: 3 SKA Rostov win(s), 0 draw(s), 0 Biolog win(s).

DateScoreCompetition
Oct 23, 2021Biolog 1-3 SKA RostovSecond League - Group 1
Jun 2, 2021SKA Rostov 3-1 BiologSecond League - Group 1
Nov 19, 2020Biolog 1-6 SKA RostovSecond League - Group 1

Last archived meeting: Biolog vs SKA Rostov on Oct 23, 2021

How many goals should we expect?

SKA Rostov score 1.9 and concede 0.6 goals per match over their last 15; Biolog score 1.3 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
SKA Rostov1.90.683/157/15
Biolog1.31.539/158/15

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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