Kalush vs Uzhhorod: prediction and stats
Druha LigaGroup A - 20Kick-off on April 30, 2021 at 12:00 AM (UTC)Stadion Khimik, Kalush
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalush have 6 wins, 3 draws and 6 defeats; Uzhhorod have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Veres Rivne(home) | 2-1 | Druha Liga |
| Nov 16, 2019 | Podillya Khmelnytskyi(away) | 0-1 | Druha Liga |
| Nov 3, 2019 | Polessya(home) | 0-2 | Druha Liga |
| Oct 27, 2019 | Bukovyna(away) | 2-1 | Druha Liga |
| Oct 23, 2019 | Dinaz Vyshhorod(home) | 1-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2021 | Podillya Khmelnytskyi(home) | 3-1 | Druha Liga |
| Apr 19, 2021 | Nyva Vinnytsya(away) | 1-4 | Druha Liga |
| Apr 14, 2021 | Chayka(home) | 3-0 | Druha Liga |
| Apr 9, 2021 | Bukovyna(home) | 3-2 | Druha Liga |
| Apr 3, 2021 | Dinaz Vyshhorod(away) | 1-1 | Druha Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Kalush win, 0 draws, 1 Uzhhorod win.
| Date | Score | Competition |
|---|---|---|
| Oct 9, 2019 | Uzhhorod 1-0 Kalush | Druha Liga |
| Aug 11, 2019 | Kalush 2-1 Uzhhorod | Druha Liga |
How many goals should we expect?
Kalush score 1.3 and concede 1.1 goals per match over their last 15; Uzhhorod score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalush | 1.3 | 1.1 | 3 | 6/15 | 5/15 |
| Uzhhorod | 2.3 | 1.3 | 4 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Uzhhorod | 30 | 13 | 5 | 12 | 40 | 37 | 44 |
A question about Kalush vs Uzhhorod?
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