Poltava vs Kobra: result 0-2 and analysis
Persha LigaRegular Season - 23Kick-off on April 25, 2015 at 01:00 PM (UTC)Stadion Lokomotiv, Poltava
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What was the result of Poltava vs Kobra?
Kobra won 0-2 on April 25, 2015.
Goalscorers
- 9′Y. ZadoyaKobra
- 89′Serhii KravchenkoKobra
What is the recent form of both teams?
Over their last 15 matches in all competitions, Poltava have 5 wins, 3 draws and 7 defeats; Kobra have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2015 | Desna(away) | 1-1 | Persha Liga |
| Apr 13, 2015 | Stal Kamianske(home) | 3-2 | Persha Liga |
| Apr 3, 2015 | Ternopil'(away) | 0-1 | Persha Liga |
| Mar 28, 2015 | Bukovyna(home) | 2-0 | Persha Liga |
| Mar 21, 2015 | Dynamo Kyiv II(away) | 0-2 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2015 | Stal Alchevsk(home) | 0-0 | Persha Liga |
| Apr 13, 2015 | Mykolaiv(away) | 2-1 | Persha Liga |
| Apr 5, 2015 | Nyva Ternopil(home) | 0-1 | Persha Liga |
| Mar 28, 2015 | Kryvbas KR(away) | 0-1 | Persha Liga |
| Mar 21, 2015 | Sumy(home) | 0-1 | Persha Liga |
What does the head-to-head say?
Across the last 5 meetings: 1 Poltava win(s), 3 draw(s), 1 Kobra win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2014 | Kobra 1-2 Poltava | Persha Liga |
| May 22, 2014 | Kobra 0-0 Poltava | Persha Liga |
| Oct 12, 2013 | Poltava 0-1 Kobra | Persha Liga |
| Nov 24, 2012 | Poltava 0-0 Kobra | Persha Liga |
| Aug 4, 2012 | Kobra 0-0 Poltava | Persha Liga |
How many goals should we expect?
Poltava score 1.1 and concede 1.6 goals per match over their last 15; Kobra score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Poltava | 1.1 | 1.6 | 4 | 8/15 | 7/15 |
| Kobra | 0.7 | 1.1 | 4 | 5/15 | 5/15 |
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