Sevastopol vs Alaniya Vladikavkaz II: result 2-1 and analysis
Second League - Group 1Group 1 - 2nd Phase - 4Kick-off on November 5, 2023 at 12:00 PM (UTC)SK Sevastopol', Sevastopol'
Full time
What was the result of Sevastopol vs Alaniya Vladikavkaz II?
Sevastopol won 2-1 on November 5, 2023.
Goalscorers
- 13′426593Sevastopol
- 22′T. ToboevAlaniya Vladikavkaz II
- 38′356663Sevastopol
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sevastopol have 7 wins, 4 draws and 4 defeats; Alaniya Vladikavkaz II have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2023 | Dynamo Makhachkala II(away) | 0-0 | Second League - Group 1 |
| Oct 25, 2023 | Spartak Nalchik(home) | 0-0 | Second League - Group 1 |
| Oct 21, 2023 | Pobeda(away) | 3-1 | Second League - Group 1 |
| Oct 14, 2023 | SKA Rostov(away) | 1-0 | Second League - Group 1 |
| Oct 7, 2023 | Rubin Yalta(home) | 1-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2023 | Dinamo Stavropol(home) | 1-1 | Second League - Group 1 |
| Oct 25, 2023 | SKA Rostov(away) | 1-2 | Second League - Group 1 |
| Oct 21, 2023 | Biolog(home) | 3-2 | Second League - Group 1 |
| Oct 14, 2023 | Spartak Nalchik(home) | 3-0 | Second League - Group 1 |
| Oct 8, 2023 | Astrakhan(home) | 0-3 | Second League - Group 1 |
How many goals should we expect?
Sevastopol score 0.9 and concede 0.9 goals per match over their last 15; Alaniya Vladikavkaz II score 1.5 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevastopol | 0.9 | 0.9 | 8 | 4/15 | 4/15 |
| Alaniya Vladikavkaz II | 1.5 | 2.4 | 2 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sevastopol | 20 | 14 | 3 | 3 | 37 | 18 | 45 |
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