Metalurh Zaporizhya vs Zirka: result 4-1 and analysis
Persha LigaRegular Season - 7Kick-off on August 26, 2011 at 04:00 PM (UTC)Slavutych-Arena, Zaporizhzhia
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What was the result of Metalurh Zaporizhya vs Zirka?
Metalurh Zaporizhya won 4-1 on August 26, 2011.
Goalscorers
- 19′Achref KhalfaouiMetalurh Zaporizhya
- 21′B. PolyakhovZirka
- 45′Aleksey BelikMetalurh Zaporizhya
- 74′JuniorMetalurh Zaporizhya (pen.)
- 90′Eugene Valeriyovych PisotskiyMetalurh Zaporizhya
What is the recent form of both teams?
Over their last 7 matches in all competitions, Metalurh Zaporizhya have 6 wins, 0 draws and 1 defeats; Zirka have 3, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2011 | Arsenal Bila Tserkva(away) | 1-2 | Persha Liga |
| Aug 17, 2011 | UkrAhroKom(away) | 1-0 | Cup |
| Aug 13, 2011 | Naftovyk-Ukrnafta(home) | 2-1 | Persha Liga |
| Aug 6, 2011 | Olimpik Donetsk(away) | 2-1 | Persha Liga |
| Jul 30, 2011 | Stal Alchevsk(home) | 3-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2011 | Odesa(home) | 2-3 | Persha Liga |
| Aug 17, 2011 | Lviv(away) | 3-1 | Cup |
| Aug 14, 2011 | Lviv(away) | 0-1 | Persha Liga |
| Aug 6, 2011 | Dynamo Kyiv II(home) | 3-2 | Persha Liga |
| Jul 30, 2011 | Nyva Vinnytsya(away) | 1-1 | Persha Liga |
How many goals should we expect?
Metalurh Zaporizhya score 2.6 and concede 0.7 goals per match over their last 7; Zirka score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalurh Zaporizhya | 2.6 | 0.7 | 3 | 4/7 | 6/7 |
| Zirka | 1.6 | 1.4 | 0 | 5/7 | 4/7 |
Over the last 7 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