Barsa Sumy vs Veres Rivne: result 1-4 and analysis
Druha LigaRegular Season - 22Kick-off on May 6, 2016 at 12:00 PM (UTC)
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What was the result of Barsa Sumy vs Veres Rivne?
Veres Rivne won 1-4 on May 6, 2016.
Goalscorers
- 43′R. VoloshynovychVeres Rivne
- 48′Viktor KorovikovBarsa Sumy
- 62′A. YaremenkoVeres Rivne
- 75′O. ZozulyaVeres Rivne
- 89′A. YaremenkoVeres Rivne
What is the recent form of both teams?
Over their last 15 matches in all competitions, Barsa Sumy have 0 wins, 3 draws and 12 defeats; Veres Rivne have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Skala Stryi(away) | 1-3 | Druha Liga |
| Apr 23, 2016 | Real Pharm(home) | 0-1 | Druha Liga |
| Apr 16, 2016 | Krystal(away) | 1-2 | Druha Liga |
| Apr 9, 2016 | Kolos Kovalivka(home) | 0-2 | Druha Liga |
| Apr 2, 2016 | Kremin'(away) | 1-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Myr(home) | 3-1 | Druha Liga |
| Apr 23, 2016 | Arsenal Kyiv(away) | 2-1 | Druha Liga |
| Apr 17, 2016 | Enerhiya Nova Kakhovka(home) | 2-0 | Druha Liga |
| Apr 9, 2016 | Arsenal Bila Tserkva(away) | 1-2 | Druha Liga |
| Apr 2, 2016 | Bukovyna(home) | 0-1 | Druha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Barsa Sumy win(s), 0 draw(s), 1 Veres Rivne win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2015 | Veres Rivne 3-0 Barsa Sumy | Druha Liga |
Last archived meeting: Veres Rivne vs Barsa Sumy on Sep 19, 2015
How many goals should we expect?
Barsa Sumy score 0.4 and concede 2.0 goals per match over their last 15; Veres Rivne score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Barsa Sumy | 0.4 | 2.0 | 1 | 6/15 | 7/15 |
| Veres Rivne | 1.5 | 0.8 | 7 | 6/15 | 6/15 |
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