Tavriya vs Arsenal Kyiv: result 1-1 and analysis
Premier LeagueRegular Season - 7Kick-off on August 26, 2012 at 06:00 PM (UTC)Stadion Mashynobudivnyk, Beryslav
Full time
What was the result of Tavriya vs Arsenal Kyiv?
Tavriya and Arsenal Kyiv drew 1-1 on August 26, 2012.
Goalscorers
- 23′Maksim KalinichenkoTavriya
- 61′S. MikoliūnasArsenal Kyiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tavriya have 5 wins, 4 draws and 6 defeats; Arsenal Kyiv have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2012 | Metalurh Donetsk(away) | 1-1 | Premier League |
| Aug 10, 2012 | Metalurh Zaporizhya(home) | 1-0 | Premier League |
| Aug 4, 2012 | Karpaty(away) | 0-2 | Premier League |
| Jul 28, 2012 | FC Mariupol(away) | 1-0 | Premier League |
| Jul 21, 2012 | Metalist(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2012 | FC Mariupol(home) | 2-1 | Premier League |
| Aug 12, 2012 | Metalist(away) | 1-0 | Premier League |
| Aug 5, 2012 | Dnipro Dnipropetrovsk(home) | 1-1 | Premier League |
| Jul 29, 2012 | Zorya Luhansk(away) | 3-1 | Premier League |
| Jul 22, 2012 | Dynamo Kyiv(home) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Tavriya win(s), 1 draw(s), 0 Arsenal Kyiv win(s).
| Date | Score | Competition |
|---|---|---|
| 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 Mar 17, 2012
How many goals should we expect?
Tavriya score 1.0 and concede 1.1 goals per match over their last 15; Arsenal Kyiv score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tavriya | 1.0 | 1.1 | 5 | 6/15 | 3/15 |
| Arsenal Kyiv | 1.8 | 1.3 | 3 | 9/15 | 8/15 |
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