Mykolaiv vs Zirka: result 2-2 and analysis
Persha LigaRegular Season - 30Kick-off on May 11, 2013 at 03:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
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What was the result of Mykolaiv vs Zirka?
Mykolaiv and Zirka drew 2-2 on May 11, 2013.
Goalscorers
- 20′Anton GolenkovMykolaiv
- 30′Andrey BurdianZirka
- 44′V. ShavrinZirka
- 68′S. ChuchmanMykolaiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 6 wins, 5 draws and 4 defeats; Zirka have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2013 | Obolon'(away) | 0-0 | Persha Liga |
| May 2, 2013 | Poltava(home) | 0-0 | Persha Liga |
| Apr 27, 2013 | Tytan Armyansk(away) | 2-2 | Persha Liga |
| Apr 23, 2013 | Kramatorsk(away) | 1-0 | Persha Liga |
| Apr 19, 2013 | Stal Alchevsk(home) | 3-2 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2013 | Arsenal Bila Tserkva(home) | 6-2 | Persha Liga |
| May 2, 2013 | Naftovyk-Ukrnafta(away) | 1-0 | Persha Liga |
| Apr 27, 2013 | Dynamo Kyiv II(home) | 2-2 | Persha Liga |
| Apr 21, 2013 | Odesa(away) | 3-0 | Persha Liga |
| Apr 17, 2013 | Tytan Armyansk(home) | 1-1 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Mykolaiv win(s), 0 draw(s), 1 Zirka win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 5, 2012 | Zirka 0-1 Mykolaiv | Persha Liga |
| Nov 5, 2011 | Mykolaiv 3-1 Zirka | Persha Liga |
| Jul 23, 2011 | Zirka 2-1 Mykolaiv | Persha Liga |
How many goals should we expect?
Mykolaiv score 1.3 and concede 1.5 goals per match over their last 15; Zirka score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 1.3 | 1.5 | 4 | 7/15 | 8/15 |
| Zirka | 1.5 | 1.1 | 4 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
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