Oleksandria vs Metal Kharkiv: result 1-3 and analysis
Premier LeagueRegular Season - 3Kick-off on September 5, 2022 at 12:00 PM (UTC)NSK Olimpijs'kyj (old), Kiev
Full time
What was the result of Oleksandria vs Metal Kharkiv?
Metal Kharkiv won 1-3 on September 5, 2022.
Goalscorers
- 11′Vladyslav KalitvintsevOleksandria
- 21′S. PanasenkoMetal Kharkiv
- 64′M. PryadunMetal Kharkiv
- 72′O. MyzyukMetal Kharkiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oleksandria have 7 wins, 3 draws and 5 defeats; Metal Kharkiv have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2022 | Minai(home) | 2-1 | Premier League |
| Aug 25, 2022 | Inhulets(away) | 2-1 | Premier League |
| Jul 23, 2022 | Metalurh Zaporizhya(home) | 3-0 | Friendlies Clubs |
| Jul 12, 2022 | Kryvbas(away) | 1-1 | Friendlies Clubs |
| Jul 12, 2022 | Kryvbas KR(away) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2022 | Inhulets(home) | 1-1 | Premier League |
| Aug 24, 2022 | Ruh Lviv(away) | 2-1 | Premier League |
| Aug 13, 2022 | Deportivo La Coruna(away) | 2-4 | Friendlies Clubs |
| Jul 24, 2022 | Denizlispor(home) | 0-0 | Friendlies Clubs |
| Jul 7, 2022 | Antalyaspor(away) | 1-0 | Friendlies Clubs |
How many goals should we expect?
Oleksandria score 1.7 and concede 1.1 goals per match over their last 15; Metal Kharkiv score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oleksandria | 1.7 | 1.1 | 4 | 9/15 | 10/15 |
| Metal Kharkiv | 1.7 | 0.9 | 7 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Oleksandria | 30 | 3 | 8 | 19 | 24 | 58 | 17 |
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