Dinamo Stavropol vs Rubin Yalta: result 1-4 and analysis
Second League - Group 1Group 1 - 6Kick-off on August 19, 2023 at 03:00 PM (UTC)Stadion Dinamo, Stavropol'
Full time
What was the result of Dinamo Stavropol vs Rubin Yalta?
Rubin Yalta won 1-4 on August 19, 2023.
Goalscorers
- 2′K. YunusovRubin Yalta
- 45′G. SanakoevRubin Yalta
- 51′K. YunusovRubin Yalta
- 69′I. VolkovRubin Yalta
- 87′M. KuchievDinamo Stavropol
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Stavropol have 2 wins, 1 draws and 12 defeats; Rubin Yalta have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2023 | Druzhba(away) | 0-1 | Second League - Group 1 |
| Aug 6, 2023 | Kuban Kholding(home) | 0-1 | Second League - Group 1 |
| Jul 29, 2023 | Biolog(away) | 0-1 | Second League - Group 1 |
| Jul 23, 2023 | Sevastopol(home) | 0-2 | Second League - Group 1 |
| Jun 4, 2023 | SKA Rostov(away) | 0-1 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2023 | SKA Rostov(home) | 1-1 | Second League - Group 1 |
| Jul 29, 2023 | Druzhba(away) | 1-2 | Second League - Group 1 |
| Jul 23, 2023 | Kuban Kholding(away) | 1-0 | Second League - Group 1 |
| Jul 16, 2023 | Biolog(away) | 1-1 | Second League - Group 1 |
| Nov 26, 2022 | Kyzyltash(away) | 2-1 | Premier League |
How many goals should we expect?
Dinamo Stavropol score 0.5 and concede 2.0 goals per match over their last 15; Rubin Yalta score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Stavropol | 0.5 | 2.0 | 3 | 4/15 | 5/15 |
| Rubin Yalta | 1.9 | 1.4 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Rubin Yalta | 20 | 8 | 7 | 5 | 26 | 21 | 31 |
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