Epitsentr Dunayivtsi vs Metalurh Zaporizhya: result 1-2 and analysis
Persha LigaChampionship Round - 3Kick-off on April 22, 2023 at 12:00 PM (UTC)Ternopilskyi miskyi stadion im. Romana Shukhevycha, Ternopil
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What was the result of Epitsentr Dunayivtsi vs Metalurh Zaporizhya?
Metalurh Zaporizhya won 1-2 on April 22, 2023.
Goalscorers
- 14′O. SydorovMetalurh Zaporizhya (pen.)
- 52′O. SydorovMetalurh Zaporizhya
- 81′O. NychyporenkoEpitsentr Dunayivtsi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Epitsentr Dunayivtsi have 7 wins, 4 draws and 4 defeats; Metalurh Zaporizhya have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2023 | LNZ Cherkasy(away) | 0-2 | Persha Liga |
| Apr 8, 2023 | Obolon'-Brovar(home) | 0-0 | Persha Liga |
| Nov 27, 2022 | Prykarpattia(home) | 2-0 | Persha Liga |
| Nov 19, 2022 | Nyva Ternopil(away) | 0-0 | Persha Liga |
| Nov 11, 2022 | Karpaty(home) | 1-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2023 | Karpaty(home) | 0-1 | Persha Liga |
| Apr 9, 2023 | Polessya(away) | 2-1 | Persha Liga |
| Nov 26, 2022 | Obolon'-Brovar(home) | 1-2 | Persha Liga |
| Nov 20, 2022 | Hirnyk-Sport(away) | 1-1 | Persha Liga |
| Nov 16, 2022 | Kremin'(away) | 4-0 | Persha Liga |
How many goals should we expect?
Epitsentr Dunayivtsi score 1.0 and concede 0.8 goals per match over their last 15; Metalurh Zaporizhya score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Epitsentr Dunayivtsi | 1.0 | 0.8 | 8 | 4/15 | 4/15 |
| Metalurh Zaporizhya | 1.1 | 1.0 | 4 | 7/15 | 6/15 |
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