Veres Rivne vs Cherkashchyna-Akademiya: result 2-1 and analysis
Druha LigaRegular Season - 27Kick-off on May 25, 2019 at 02:00 PM (UTC)Stadion Avanhard, Lutsk
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What was the result of Veres Rivne vs Cherkashchyna-Akademiya?
Veres Rivne won 2-1 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Veres Rivne have 6 wins, 4 draws and 5 defeats; Cherkashchyna-Akademiya 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 |
|---|---|---|---|
| May 19, 2019 | Nyva Vinnytsya(away) | 3-1 | Druha Liga |
| May 15, 2019 | Podillya Khmelnytskyi(home) | 2-3 | Druha Liga |
| May 11, 2019 | Minai(home) | 1-2 | Druha Liga |
| May 5, 2019 | Polessya(away) | 2-1 | Druha Liga |
| May 1, 2019 | Chayka(home) | 1-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Kalush(home) | 3-1 | Druha Liga |
| May 15, 2019 | Chayka(home) | 4-1 | Druha Liga |
| May 11, 2019 | Bukovyna(home) | 2-0 | Druha Liga |
| May 5, 2019 | Nyva Vinnytsya(away) | 0-1 | Druha Liga |
| May 1, 2019 | Minai(home) | 3-2 | Druha Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Veres Rivne win(s), 0 draw(s), 1 Cherkashchyna-Akademiya win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 6, 2019 | Veres Rivne 0-1 Cherkashchyna-Akademiya | Druha Liga |
| Sep 15, 2018 | Cherkashchyna-Akademiya 1-2 Veres Rivne | Druha Liga |
Last archived meeting: Veres Rivne vs Cherkashchyna-Akademiya on Apr 6, 2019
How many goals should we expect?
Veres Rivne score 1.0 and concede 0.9 goals per match over their last 15; Cherkashchyna-Akademiya score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Veres Rivne | 1.0 | 0.9 | 5 | 7/15 | 5/15 |
| Cherkashchyna-Akademiya | 1.9 | 0.7 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
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