Chayka vs Veres Rivne: result 0-1 and analysis
Druha LigaRegular Season - 7Kick-off on September 1, 2018 at 02:00 PM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv
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What was the result of Chayka vs Veres Rivne?
Veres Rivne won 0-1 on September 1, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Chayka have 2 wins, 4 draws and 4 defeats; Veres Rivne have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2018 | Cherkashchyna-Akademiya(away) | 1-1 | Druha Liga |
| Aug 18, 2018 | Nyva Ternopil(home) | 0-0 | Druha Liga |
| Aug 11, 2018 | Podillya Khmelnytskyi(away) | 0-0 | Druha Liga |
| Aug 4, 2018 | Minai(away) | 1-2 | Druha Liga |
| Jul 28, 2018 | Kalush(home) | 0-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2018 | Minai(home) | 2-1 | Druha Liga |
| Aug 18, 2018 | Kalush(away) | 0-1 | Druha Liga |
| Aug 11, 2018 | Bukovyna(home) | 1-3 | Druha Liga |
| Aug 5, 2018 | Nyva Vinnytsya(away) | 0-0 | Druha Liga |
| Jul 28, 2018 | Polessya(home) | 0-1 | Druha Liga |
How many goals should we expect?
Chayka score 0.8 and concede 1.0 goals per match over their last 10; Veres Rivne score 0.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chayka | 0.8 | 1.0 | 5 | 2/10 | 4/10 |
| Veres Rivne | 0.5 | 1.3 | 3 | 5/15 | 4/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Chayka | 30 | 17 | 6 | 7 | 58 | 41 | 57 |
A question about Chayka vs Veres Rivne?
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