Lisne vs Kulykiv: prediction and stats
Druha LigaRegular Season - 22Kick-off on March 21, 2026 at 03:00 PM (UTC)Buzova Arena, Buzova
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lisne have 9 wins, 2 draws and 4 defeats; Kulykiv have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2025 | Skala 1911 Stryi(home) | 4-1 | Druha Liga |
| Nov 1, 2025 | Real Pharm(away) | 3-1 | Druha Liga |
| Oct 28, 2025 | Chernihiv(away) | 1-1 | Cup |
| Oct 24, 2025 | Bukovyna 2(home) | 2-2 | Druha Liga |
| Oct 12, 2025 | Polissya II(home) | 1-5 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2026 | Viktoriya Mykolaivka(home) | 0-0 | Friendlies Clubs |
| Nov 30, 2025 | Skala 1911 Stryi(home) | 3-0 | Druha Liga |
| Nov 22, 2025 | Real Pharm(away) | 4-0 | Druha Liga |
| Nov 16, 2025 | Bukovyna 2(home) | 1-0 | Druha Liga |
| Nov 12, 2025 | Uzhhorod(away) | 2-0 | Druha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Lisne win(s), 0 draw(s), 1 Kulykiv win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2025 | Kulykiv 3-0 Lisne | Druha Liga |
How many goals should we expect?
Lisne score 2.2 and concede 1.5 goals per match over their last 15; Kulykiv score 2.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lisne | 2.2 | 1.5 | 2 | 11/15 | 12/15 |
| Kulykiv | 2.1 | 0.5 | 10 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Lisne sit 11th in Druha Liga (27 points from 30 matches) and Kulykiv sit 1st (68 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Kulykiv | 30 | 21 | 5 | 4 | 58 | 18 | 68 |
| 11 | Lisne | 30 | 8 | 3 | 19 | 32 | 30 | 27 |
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