Metalist vs Arsenal Kyiv: prediction and stats
Premier LeagueRegular Season - 17Kick-off on November 23, 2013 at 11:30 AM (UTC)Oblasny SportKomplex Metalist, Kharkiv
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalist have 9 wins, 5 draws and 1 defeats; Arsenal Kyiv have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2013 | Metalurh Donetsk(away) | 0-3 | Premier League |
| Nov 3, 2013 | Vorskla Poltava(away) | 1-1 | Premier League |
| Oct 30, 2013 | Karpaty(away) | 2-0 | Cup |
| Oct 26, 2013 | Karpaty(home) | 2-1 | Premier League |
| Oct 20, 2013 | Chornomorets(home) | 0-0 | Premier League |
| 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 |
What does the head-to-head say?
Across the last 5 meetings: 2 Metalist win(s), 1 draw(s), 2 Arsenal Kyiv win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 20, 2013 | Arsenal Kyiv 1-2 Metalist | Premier League |
| Mar 10, 2013 | Arsenal Kyiv 1-2 Metalist | Premier League |
| Aug 12, 2012 | Metalist 0-1 Arsenal Kyiv | Premier League |
| Mar 24, 2012 | Arsenal Kyiv 4-2 Metalist | Premier League |
| Sep 10, 2011 | Metalist 0-0 Arsenal Kyiv | Premier League |
Last archived meeting: Arsenal Kyiv vs Metalist on Jul 20, 2013
How many goals should we expect?
Metalist score 2.1 and concede 0.9 goals per match over their last 15; Arsenal Kyiv score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalist | 2.1 | 0.9 | 6 | 8/15 | 9/15 |
| Arsenal Kyiv | 0.7 | 2.1 | 2 | 5/15 | 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