Shahter Taganrog vs Sevastopol: result 0-0 and analysis
Second League - Group 1Group 1 - 5Kick-off on April 25, 2026 at 12:00 PM (UTC)
Full time
What was the result of Shahter Taganrog vs Sevastopol?
Shahter Taganrog and Sevastopol drew 0-0 on April 25, 2026.
What is the recent form of both teams?
Over their last 4 matches in all competitions, Shahter Taganrog have 3 wins, 0 draws and 1 defeats; Sevastopol have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2026 | Spartak Nalchik(away) | 1-0 | Second League - Group 1 |
| Apr 11, 2026 | Angust Nazran(home) | 1-0 | Second League - Group 1 |
| Apr 4, 2026 | Rubin Yalta(away) | 2-0 | Second League - Group 1 |
| Mar 28, 2026 | Kyzyltash(home) | 0-1 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2026 | Dynamo Makhachkala II(home) | 2-1 | Second League - Group 1 |
| Apr 11, 2026 | Izberbash(away) | 3-0 | Second League - Group 1 |
| Apr 4, 2026 | Rostov II(home) | 2-1 | Second League - Group 1 |
| Mar 28, 2026 | Lugansk(away) | 4-1 | Second League - Group 1 |
| Feb 20, 2026 | Orel(away) | 6-3 | Friendlies Clubs |
How many goals should we expect?
Shahter Taganrog score 1.0 and concede 0.3 goals per match over their last 4; Sevastopol score 2.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shahter Taganrog | 1.0 | 0.3 | 3 | 0/4 | 0/4 |
| Sevastopol | 2.2 | 0.8 | 6 | 9/15 | 8/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Shahter Taganrog sit 1st in Second League - Group 1 (45 points from 20 matches) and Sevastopol sit 2nd (45 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Shahter Taganrog | 20 | 14 | 3 | 3 | 38 | 17 | 45 |
| 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