Vilkhivtsi vs Lisne: prediction and stats
Druha LigaRegular Season - 19Kick-off on November 16, 2025 at 11:15 AM (UTC)Stadion Vil'khivtsi, Vil'khivtsi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vilkhivtsi have 5 wins, 4 draws and 6 defeats; Lisne have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2025 | Skala 1911 Stryi(away) | 1-4 | Druha Liga |
| Nov 8, 2025 | Real Pharm(home) | 3-1 | Druha Liga |
| Nov 3, 2025 | Bukovyna 2(away) | 3-1 | Druha Liga |
| Oct 26, 2025 | Uzhhorod(home) | 1-1 | Druha Liga |
| Oct 19, 2025 | Polissya II(away) | 1-1 | Druha Liga |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Vilkhivtsi wins, 0 draws, 1 Lisne win.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2025 | Lisne 3-1 Vilkhivtsi | Druha Liga |
How many goals should we expect?
Vilkhivtsi score 1.5 and concede 1.9 goals per match over their last 15; Lisne score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vilkhivtsi | 1.5 | 1.9 | 1 | 11/15 | 8/15 |
| Lisne | 2.2 | 1.5 | 2 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Vilkhivtsi | 9 | 3 | 3 | 3 | 11 | 13 | 12 |
A question about Vilkhivtsi vs Lisne?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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
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