Metalurh Zaporizhya vs LNZ Cherkasy: result 2-1 and analysis
Persha LigaRegular Season - 2Kick-off on September 3, 2022 at 12:00 AM (UTC)Slavutych-Arena, Zaporizhzhia
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What was the result of Metalurh Zaporizhya vs LNZ Cherkasy?
Metalurh Zaporizhya won 2-1 on September 3, 2022.
Goalscorers
- 23′I. TyshchenkoLNZ Cherkasy
- 65′O. SydorovMetalurh Zaporizhya
- 70′O. SydorovMetalurh Zaporizhya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalurh Zaporizhya have 10 wins, 4 draws and 1 defeats; LNZ Cherkasy have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2022 | Kremin'(home) | 3-3 | Persha Liga |
| Jul 23, 2022 | Oleksandria(away) | 0-3 | Friendlies Clubs |
| Nov 20, 2021 | Skoruk Tomakivka(home) | 1-0 | Druha Liga - Group B |
| Nov 13, 2021 | Balkany Zorya(home) | 0-0 | Druha Liga - Group B |
| Nov 6, 2021 | Nikopol(away) | 6-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2022 | Obolon'-Brovar(home) | 0-0 | Persha Liga |
| Dec 1, 2021 | Dnipro-1(home) | 0-2 | Cup |
| Nov 27, 2021 | Lyubomyr Stavyshche(home) | 3-0 | Druha Liga |
| Nov 20, 2021 | Dinaz Vyshhorod(away) | 2-0 | Druha Liga |
| Nov 13, 2021 | Epitsentr Dunayivtsi(home) | 1-1 | Druha Liga |
How many goals should we expect?
Metalurh Zaporizhya score 1.9 and concede 0.7 goals per match over their last 15; LNZ Cherkasy score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalurh Zaporizhya | 1.9 | 0.7 | 9 | 5/15 | 7/15 |
| LNZ Cherkasy | 1.8 | 0.7 | 7 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Metalurh Zaporizhya | 30 | 4 | 7 | 19 | 16 | 61 | 19 |
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