Cherkashchyna-Akademiya vs Metalurh Zaporizhya: result 0-3 and analysis
Persha LigaRegular Season - 8Kick-off on September 8, 2019 at 01:00 PM (UTC)Tsentralnyi miskyi Stadion, Cherkasy
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What was the result of Cherkashchyna-Akademiya vs Metalurh Zaporizhya?
Metalurh Zaporizhya won 0-3 on September 8, 2019.
Goalscorers
- 33′E. SarapiyMetalurh Zaporizhya (pen.)
- 77′Ihor ZagoruykoMetalurh Zaporizhya
- 90′Ihor ZagoruykoMetalurh Zaporizhya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cherkashchyna-Akademiya have 6 wins, 2 draws and 7 defeats; Metalurh Zaporizhya have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2019 | Ahrobiznes Volochysk(home) | 1-2 | Persha Liga |
| Aug 31, 2019 | Metalist 1925 Kharkiv(away) | 0-3 | Persha Liga |
| Aug 27, 2019 | Kremin'(home) | 1-2 | Cup |
| Aug 22, 2019 | Balkany Zorya(home) | 3-0 | Persha Liga |
| Aug 17, 2019 | Inhulets(away) | 0-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2019 | Ruh Lviv(home) | 0-1 | Persha Liga |
| Aug 31, 2019 | Ahrobiznes Volochysk(away) | 0-2 | Persha Liga |
| Aug 27, 2019 | Hirnyk-Sport(away) | 2-2 | Cup |
| Aug 23, 2019 | Metalist 1925 Kharkiv(home) | 1-4 | Persha Liga |
| Aug 17, 2019 | Balkany Zorya(away) | 0-4 | Persha Liga |
How many goals should we expect?
Cherkashchyna-Akademiya score 1.8 and concede 1.5 goals per match over their last 15; Metalurh Zaporizhya score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cherkashchyna-Akademiya | 1.8 | 1.5 | 3 | 9/15 | 12/15 |
| Metalurh Zaporizhya | 1.8 | 1.5 | 4 | 5/15 | 8/15 |
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