Metalist 1925 Kharkiv vs Sudnobudivnyk: result 5-1 and analysis
Druha Liga - Group BRegular Season - 5Kick-off on August 9, 2017 at 02:30 PM (UTC)Stadion Metalist, Kharkiv
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What was the result of Metalist 1925 Kharkiv vs Sudnobudivnyk?
Metalist 1925 Kharkiv won 5-1 on August 9, 2017.
Goalscorers
- 29′Serhii DavydovMetalist 1925 Kharkiv (pen.)
- 35′Serhii DavydovMetalist 1925 Kharkiv
- 59′Dmytro SevodnyaevSudnobudivnyk
- 77′Serhii DavydovMetalist 1925 Kharkiv
- 86′Vladyslav KraevMetalist 1925 Kharkiv
- 87′Yaroslav DekhtyarenkoMetalist 1925 Kharkiv
What is the recent form of both teams?
Over their last 5 matches in all competitions, Metalist 1925 Kharkiv have 2 wins, 1 draws and 2 defeats; Sudnobudivnyk have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Tavriya(away) | 3-0 | Druha Liga - Group B |
| Jul 29, 2017 | Metalurh Zaporizhya(home) | 4-0 | Druha Liga - Group B |
| Jul 22, 2017 | Myr(away) | 1-2 | Druha Liga - Group B |
| Jul 15, 2017 | Dnipro-1(away) | 0-1 | Druha Liga - Group B |
| Jul 9, 2017 | Nyva Ternopil(home) | 4-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Inhulets II(away) | 0-0 | Druha Liga - Group B |
| Jul 23, 2017 | Mykolaiv II(home) | 2-2 | Druha Liga - Group B |
| Jul 15, 2017 | Enerhiya Nova Kakhovka(away) | 0-1 | Druha Liga - Group B |
| Jul 10, 2017 | Balkany Zorya(home) | 0-2 | Cup |
| Jun 2, 2017 | Myr(away) | 0-6 | Druha Liga |
How many goals should we expect?
Metalist 1925 Kharkiv score 2.4 and concede 1.4 goals per match over their last 5; Sudnobudivnyk score 0.4 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalist 1925 Kharkiv | 2.4 | 1.4 | 2 | 2/5 | 4/5 |
| Sudnobudivnyk | 0.4 | 3.2 | 3 | 4/15 | 9/15 |
Over the last 5 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