Dnipro-1 vs Sudnobudivnyk: result 8-0 and analysis
Druha Liga - Group BRegular Season - 32Kick-off on May 26, 2018 at 02:30 PM (UTC)Dnipro Arena, Dnipro
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What was the result of Dnipro-1 vs Sudnobudivnyk?
Dnipro-1 won 8-0 on May 26, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dnipro-1 have 12 wins, 1 draws and 2 defeats; Sudnobudivnyk have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Mykolaiv II(away) | 5-0 | Druha Liga - Group B |
| May 12, 2018 | Nikopol(home) | 1-0 | Druha Liga - Group B |
| May 6, 2018 | Real Pharm(away) | 0-1 | Druha Liga - Group B |
| May 2, 2018 | Tavriya(home) | 4-2 | Druha Liga - Group B |
| Apr 28, 2018 | Myr(away) | 1-1 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2018 | Inhulets II(home) | 1-2 | Druha Liga - Group B |
| May 11, 2018 | Metalurh Zaporizhya(away) | 2-1 | Druha Liga - Group B |
| May 7, 2018 | Mykolaiv II(away) | 1-3 | Druha Liga - Group B |
| May 2, 2018 | Nikopol(home) | 1-4 | Druha Liga - Group B |
| Apr 27, 2018 | Real Pharm(away) | 1-4 | Druha Liga - Group B |
What does the head-to-head say?
Across the last 2 meetings: 2 Dnipro-1 win(s), 0 draw(s), 0 Sudnobudivnyk win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2017 | Sudnobudivnyk 0-3 Dnipro-1 | Druha Liga - Group B |
| Oct 7, 2017 | Dnipro-1 3-0 Sudnobudivnyk | Druha Liga - Group B |
Last archived meeting: Sudnobudivnyk vs Dnipro-1 on Oct 22, 2017
How many goals should we expect?
Dnipro-1 score 2.2 and concede 0.7 goals per match over their last 15; Sudnobudivnyk score 0.5 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dnipro-1 | 2.2 | 0.7 | 8 | 6/15 | 9/15 |
| Sudnobudivnyk | 0.5 | 2.9 | 1 | 6/15 | 11/15 |
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