Ukraine vs Serbia: result 5-0 and analysis
Euro ChampionshipQualifying Round - 3Kick-off on June 7, 2019 at 06:45 PM (UTC)Estadio Enrique Roca de Murcia, Murcia
Full time
What was the result of Ukraine vs Serbia?
Ukraine won 5-0 on June 7, 2019.
Goalscorers
- 26′V. TsygankovUkraine
- 28′V. TsygankovUkraine
- 46′Y. KonoplyankaUkraine
- 59′R. YaremchukUkraine
- 75′Y. KonoplyankaUkraine
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ukraine have 8 wins, 5 draws and 2 defeats; Serbia have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2019 | Luxembourg(away) | 2-1 | Euro Championship |
| Mar 22, 2019 | Portugal(away) | 0-0 | Euro Championship |
| Nov 20, 2018 | Türkiye(away) | 0-0 | Friendlies |
| Nov 16, 2018 | Slovakia(away) | 1-4 | UEFA Nations League |
| Oct 16, 2018 | Czechia(home) | 1-0 | UEFA Nations League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2019 | Portugal(away) | 1-1 | Euro Championship |
| Mar 20, 2019 | Germany(away) | 1-1 | Friendlies |
| Nov 20, 2018 | Lithuania(home) | 4-1 | UEFA Nations League |
| Nov 17, 2018 | Montenegro(home) | 2-1 | UEFA Nations League |
| Oct 14, 2018 | Romania(away) | 0-0 | UEFA Nations League |
How many goals should we expect?
Ukraine score 1.3 and concede 0.9 goals per match over their last 15; Serbia score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ukraine | 1.3 | 0.9 | 6 | 8/15 | 6/15 |
| Serbia | 1.5 | 0.9 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ukraine sit 4th in Euro Championship (4 points from 3 matches) and Serbia sit 4th (2 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Serbia | 3 | 0 | 2 | 1 | 1 | 2 | 2 |
| 4 | Ukraine | 3 | 1 | 1 | 1 | 2 | 4 | 4 |
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