Lugansk vs Kyzyltash: 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 Lugansk vs Kyzyltash?
Lugansk and Kyzyltash drew 0-0 on April 25, 2026.
What is the recent form of both teams?
Over their last 4 matches in all competitions, Lugansk have 0 wins, 2 draws and 2 defeats; Kyzyltash have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2026 | Nart Cherkessk(away) | 0-0 | Second League - Group 1 |
| Apr 11, 2026 | Druzhba(home) | 1-1 | Second League - Group 1 |
| Apr 4, 2026 | PSK Dinskaya(away) | 1-3 | Second League - Group 1 |
| Mar 28, 2026 | Sevastopol(home) | 1-4 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2026 | Astrakhan(home) | 3-0 | Second League - Group 1 |
| Apr 11, 2026 | Pobeda(away) | 0-0 | Second League - Group 1 |
| Apr 4, 2026 | FK Chayka 2(home) | 2-0 | Second League - Group 1 |
| Mar 28, 2026 | Shahter Taganrog(away) | 1-0 | Second League - Group 1 |
| Mar 17, 2026 | Luki-Energiya(away) | 0-2 | Friendlies Clubs |
How many goals should we expect?
Lugansk score 0.8 and concede 2.0 goals per match over their last 4; Kyzyltash score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lugansk | 0.8 | 2.0 | 1 | 3/4 | 2/4 |
| Kyzyltash | 1.1 | 1.5 | 7 | 5/15 | 8/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Lugansk sit 10th in Second League - Group 1 (24 points from 21 matches) and Kyzyltash sit 6th (31 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Kyzyltash | 21 | 9 | 4 | 8 | 36 | 30 | 31 |
| 10 | Lugansk | 21 | 6 | 6 | 9 | 24 | 30 | 24 |
A question about Lugansk vs Kyzyltash?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy