SKA Rostov vs Pobeda: result 1-0 and analysis
Second League - Group 1Group 1 - 2nd Phase - 6Kick-off on November 15, 2023 at 11:00 AM (UTC)Stadion Trud, Rostov-na-Donu
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What was the result of SKA Rostov vs Pobeda?
SKA Rostov won 1-0 on November 15, 2023.
Goalscorers
- 59′P. SolomatinSKA Rostov
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKA Rostov have 8 wins, 1 draws and 6 defeats; Pobeda have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2023 | Alaniya Vladikavkaz II(away) | 2-0 | Second League - Group 1 |
| Nov 5, 2023 | Spartak Nalchik(home) | 1-0 | Second League - Group 1 |
| Oct 30, 2023 | Pobeda(away) | 5-0 | Second League - Group 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2023 | Biolog(home) | 1-1 | Second League - Group 1 |
| Nov 5, 2023 | Dinamo Stavropol(away) | 2-2 | Second League - Group 1 |
| Oct 30, 2023 | SKA Rostov(home) | 0-5 | Second League - Group 1 |
| Oct 25, 2023 | Biolog(away) | 2-2 | Second League - Group 1 |
| Oct 21, 2023 | Sevastopol(home) | 1-3 | Second League - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 SKA Rostov win(s), 0 draw(s), 0 Pobeda win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2023 | Pobeda 0-5 SKA Rostov | Second League - Group 1 |
How many goals should we expect?
SKA Rostov score 1.3 and concede 1.0 goals per match over their last 15; Pobeda score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKA Rostov | 1.3 | 1.0 | 5 | 5/15 | 6/15 |
| Pobeda | 1.1 | 2.1 | 0 | 10/15 | 10/15 |
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