Kyzyltash vs Sevastopol: result 0-2 and analysis
Second League - Group 1Group 1 - 9Kick-off on May 23, 2026 at 01:00 PM (UTC)
Full time
What was the result of Kyzyltash vs Sevastopol?
Sevastopol won 0-2 on May 23, 2026.
Goalscorers
- 20′V. LazarevSevastopol (o.g.)
- 72′D. IvanovSevastopol
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyzyltash have 7 wins, 3 draws and 5 defeats; Sevastopol have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2026 | Rubin Yalta(away) | 2-5 | Second League - Group 1 |
| May 10, 2026 | PSK Dinskaya(home) | 3-1 | Second League - Group 1 |
| May 2, 2026 | Rostov II(home) | 1-2 | Second League - Group 1 |
| Apr 25, 2026 | Lugansk(away) | 0-0 | Second League - Group 1 |
| Apr 18, 2026 | Astrakhan(home) | 3-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2026 | PSK Dinskaya(home) | 2-2 | Second League - Group 1 |
| May 8, 2026 | Rubin Yalta(away) | 0-1 | Second League - Group 1 |
| May 2, 2026 | FK Chayka 2(home) | 2-0 | Second League - Group 1 |
| Apr 25, 2026 | Shahter Taganrog(away) | 0-0 | Second League - Group 1 |
| Apr 18, 2026 | Dynamo Makhachkala II(home) | 2-1 | Second League - Group 1 |
How many goals should we expect?
Kyzyltash score 1.4 and concede 1.2 goals per match over their last 15; Sevastopol score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyzyltash | 1.4 | 1.2 | 8 | 6/15 | 8/15 |
| Sevastopol | 2.1 | 0.9 | 5 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kyzyltash sit 5th in Second League - Group 1 (31 points from 20 matches) and Sevastopol sit 2nd (45 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sevastopol | 20 | 14 | 3 | 3 | 37 | 18 | 45 |
| 5 | Kyzyltash | 20 | 9 | 4 | 7 | 35 | 27 | 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