Zorya Luhansk vs Metal Kharkiv: result 3-2 and analysis
Premier LeagueRegular Season - 11Kick-off on November 5, 2022 at 11:00 AM (UTC)Stadion Dynamo im. Valery Lobanovsky, Kiev
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What was the result of Zorya Luhansk vs Metal Kharkiv?
Zorya Luhansk won 3-2 on November 5, 2022.
Goalscorers
- 58′Y. PidlepenetsMetal Kharkiv (pen.)
- 72′Vyacheslav ChurkoZorya Luhansk
- 75′S. PanasenkoMetal Kharkiv
- 89′D. MyshnovZorya Luhansk
- 90′Y. ShakhovZorya Luhansk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zorya Luhansk have 10 wins, 2 draws and 3 defeats; Metal Kharkiv have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2022 | Metalist 1925 Kharkiv(away) | 3-0 | Premier League |
| Oct 23, 2022 | Veres Rivne(away) | 1-0 | Premier League |
| Oct 18, 2022 | Chornomorets(away) | 4-0 | Premier League |
| Oct 9, 2022 | Dnipro-1(away) | 0-3 | Premier League |
| Oct 2, 2022 | Kryvbas KR(home) | 2-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Lviv(away) | 1-1 | Premier League |
| Oct 23, 2022 | Dnipro-1(home) | 0-1 | Premier League |
| Oct 15, 2022 | Vorskla Poltava(home) | 3-2 | Premier League |
| Oct 7, 2022 | Veres Rivne(away) | 2-1 | Premier League |
| Oct 1, 2022 | Shakhtar Donetsk(home) | 1-6 | Premier League |
How many goals should we expect?
Zorya Luhansk score 2.1 and concede 1.5 goals per match over their last 15; Metal Kharkiv score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zorya Luhansk | 2.1 | 1.5 | 5 | 8/15 | 11/15 |
| Metal Kharkiv | 1.2 | 1.7 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Zorya Luhansk | 3 | 2 | 0 | 1 | 5 | 4 | 6 |
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