Pobeda vs SKA Rostov: result 0-5 and analysis
Second League - Group 1Group 1 - 2nd Phase - 3Kick-off on October 30, 2023 at 11:00 AM (UTC)Stadion Spartak Khasavyurt, Khasavyurt
Full time
What was the result of Pobeda vs SKA Rostov?
SKA Rostov won 0-5 on October 30, 2023.
Goalscorers
- 20′V. NazarovSKA Rostov
- 40′R. RzaevSKA Rostov
- 53′R. RzaevSKA Rostov
- 85′P. SolomatinSKA Rostov
- 90′R. RomanovSKA Rostov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pobeda have 2 wins, 3 draws and 10 defeats; SKA Rostov have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2023 | Biolog(away) | 2-2 | Second League - Group 1 |
| Oct 21, 2023 | Sevastopol(home) | 1-3 | Second League - Group 1 |
| Oct 14, 2023 | Mashuk-KMV(away) | 1-1 | Second League - Group 1 |
| Oct 8, 2023 | Legion Dynamo(away) | 2-2 | Second League - Group 1 |
| Oct 1, 2023 | Alaniya Vladikavkaz II(away) | 2-3 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2023 | Alaniya Vladikavkaz II(home) | 2-1 | Second League - Group 1 |
| Oct 21, 2023 | Dynamo Makhachkala II(away) | 2-1 | Second League - Group 1 |
| Oct 14, 2023 | Sevastopol(home) | 0-1 | Second League - Group 1 |
| Oct 7, 2023 | Dinamo Stavropol(away) | 2-0 | Second League - Group 1 |
| Sep 27, 2023 | FK Neftekhimik(home) | 0-3 | Cup |
How many goals should we expect?
Pobeda score 1.1 and concede 1.9 goals per match over their last 15; SKA Rostov score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 1.1 | 1.9 | 0 | 9/15 | 10/15 |
| SKA Rostov | 1.0 | 1.2 | 2 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Pobeda | 18 | 9 | 3 | 6 | 36 | 22 | 30 |
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