Zirka vs Kobra: prediction and stats
Persha LigaRegular Season - 5Kick-off on August 18, 2018 at 12:00 AM (UTC)Stadion Zirka, Kropyvnytskyi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zirka have 3 wins, 4 draws and 8 defeats; Kobra have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2018 | Obolon'-Brovar(away) | 0-1 | Persha Liga |
| Aug 4, 2018 | Dnipro-1(home) | 0-2 | Persha Liga |
| Jul 28, 2018 | Sumy(away) | 1-3 | Persha Liga |
| Jul 22, 2018 | Volyn(home) | 0-2 | Persha Liga |
| May 19, 2018 | Chornomorets(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Desna(away) | 0-5 | Persha Liga |
| May 12, 2018 | Hirnyk-Sport(home) | 1-3 | Persha Liga |
| May 6, 2018 | Ruh Lviv(away) | 0-3 | Persha Liga |
| May 2, 2018 | Poltava(home) | 0-2 | Persha Liga |
| Apr 27, 2018 | Volyn(away) | 0-2 | Persha Liga |
What does the head-to-head say?
Across the last 6 meetings: 2 Zirka wins, 3 draws, 1 Kobra win.
| Date | Score | Competition |
|---|---|---|
| May 10, 2016 | Kobra 1-1 Zirka | Persha Liga |
| Oct 3, 2015 | Zirka 4-0 Kobra | Persha Liga |
| May 5, 2015 | Zirka 0-0 Kobra | Persha Liga |
| Sep 27, 2014 | Kobra 1-0 Zirka | Persha Liga |
| Mar 29, 2014 | Zirka 0-0 Kobra | Persha Liga |
| Aug 17, 2013 | Kobra 2-4 Zirka | Persha Liga |
How many goals should we expect?
Zirka score 0.7 and concede 1.1 goals per match over their last 15; Kobra score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zirka | 0.7 | 1.1 | 4 | 6/15 | 4/15 |
| Kobra | 0.7 | 2.1 | 3 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Zirka vs Kobra?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy