Arsenal Kyiv vs Tavriya: prediction and stats
Premier LeagueRegular Season - 29Kick-off on May 11, 2014 at 12:00 PM (UTC)Stadion Kolos, Boryspil'
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal Kyiv have 4 wins, 1 draws and 10 defeats; Tavriya have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2013 | Tavriya(away) | 0-3 | Premier League |
| Oct 20, 2013 | Dynamo Kyiv(home) | 0-2 | Premier League |
| Oct 5, 2013 | Shakhtar Donetsk(away) | 0-7 | Premier League |
| Sep 30, 2013 | Sevastopol(home) | 3-1 | Premier League |
| Sep 25, 2013 | Hoverla(away) | 1-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2014 | Metalurh Donetsk(home) | 0-1 | Premier League |
| Apr 28, 2014 | Vorskla Poltava(away) | 1-1 | Premier League |
| Apr 23, 2014 | Shakhtar Donetsk(away) | 1-2 | Premier League |
| Apr 20, 2014 | Karpaty(home) | 0-1 | Premier League |
| Apr 17, 2014 | Sevastopol(home) | 0-2 | Premier League |
What does the head-to-head say?
Across the last 5 meetings: 0 Arsenal Kyiv win(s), 3 draw(s), 2 Tavriya win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2013 | Tavriya 3-0 Arsenal Kyiv | Premier League |
| Mar 30, 2013 | Arsenal Kyiv 1-1 Tavriya | Premier League |
| Aug 26, 2012 | Tavriya 1-1 Arsenal Kyiv | Premier League |
| Mar 17, 2012 | Tavriya 1-1 Arsenal Kyiv | Premier League |
| Aug 27, 2011 | Arsenal Kyiv 2-3 Tavriya | Premier League |
Last archived meeting: Tavriya vs Arsenal Kyiv on Oct 25, 2013
How many goals should we expect?
Arsenal Kyiv score 0.7 and concede 2.1 goals per match over their last 15; Tavriya score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal Kyiv | 0.7 | 2.1 | 2 | 5/15 | 8/15 |
| Tavriya | 0.7 | 1.2 | 3 | 6/15 | 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