Match

SKA Rostov vs Rubin Yalta: result 1-3 and analysis

Second League - Group 1Group 1 - 11Kick-off on September 23, 2023 at 12:00 PM (UTC)Stadion Trud, Rostov-na-Donu

SKA Rostov
1-3
Rubin Yalta

Full time

What was the result of SKA Rostov vs Rubin Yalta?

Rubin Yalta won 1-3 on September 23, 2023.

Goalscorers

  • 6′A. NanievRubin Yalta
  • 41′A. AtaevRubin Yalta
  • 45′I. VolkovRubin Yalta
  • 68′D. KhramovSKA Rostov

What is the recent form of both teams?

Over their last 15 matches in all competitions, SKA Rostov have 6 wins, 2 draws and 7 defeats; Rubin Yalta have 8, 3 and 4.

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

SKA Rostov
DateOpponentScoreCompetition
Sep 17, 2023Druzhba(away)0-1Second League - Group 1
Sep 13, 2023Druzhba(away)1-1Cup
Sep 9, 2023Kuban Kholding(home)0-1Second League - Group 1
Sep 3, 2023Biolog(away)1-0Second League - Group 1
Aug 27, 2023Dinamo Stavropol(home)0-2Second League - Group 1
Rubin Yalta
DateOpponentScoreCompetition
Sep 9, 2023Druzhba(home)0-1Second League - Group 1
Sep 3, 2023Kuban Kholding(home)1-0Second League - Group 1
Aug 27, 2023Sevastopol(home)2-1Second League - Group 1
Aug 19, 2023Dinamo Stavropol(away)4-1Second League - Group 1
Aug 13, 2023SKA Rostov(home)1-1Second League - Group 1

What does the head-to-head say?

Across the last 1 meetings: 0 SKA Rostov win(s), 1 draw(s), 0 Rubin Yalta win(s).

DateScoreCompetition
Aug 13, 2023Rubin Yalta 1-1 SKA RostovSecond League - Group 1

Last archived meeting: Rubin Yalta vs SKA Rostov on Aug 13, 2023

How many goals should we expect?

SKA Rostov score 0.9 and concede 1.3 goals per match over their last 15; Rubin Yalta score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
SKA Rostov0.91.347/155/15
Rubin Yalta1.71.159/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
4Rubin Yalta20875262131

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

Next match: SKA Rostov and Rubin Yalta

Ready to know everything about football?