Arsenal Kyiv vs Obolon'-Brovar: result 2-1 and analysis
Persha LigaRegular Season - 20Kick-off on November 19, 2016 at 04:00 PM (UTC)Stadion Kolos, Boryspil'
Full time
What was the result of Arsenal Kyiv vs Obolon'-Brovar?
Arsenal Kyiv won 2-1 on November 19, 2016.
Goalscorers
- 11′A. EseolaArsenal Kyiv (pen.)
- 45′M. KostyuchenkoArsenal Kyiv
- 52′I. KovalenkoObolon'-Brovar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal Kyiv have 6 wins, 4 draws and 5 defeats; Obolon'-Brovar have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2016 | Poltava(away) | 1-0 | Persha Liga |
| Nov 9, 2016 | Sumy(away) | 1-1 | Persha Liga |
| Nov 5, 2016 | Inhulets(away) | 1-2 | Persha Liga |
| Oct 29, 2016 | Hirnyk-Sport(home) | 2-0 | Persha Liga |
| Oct 22, 2016 | Skala Stryi(away) | 1-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2016 | Inhulets(home) | 4-1 | Persha Liga |
| Nov 9, 2016 | Hirnyk-Sport(away) | 2-0 | Persha Liga |
| Nov 5, 2016 | Skala Stryi(away) | 2-2 | Persha Liga |
| Oct 30, 2016 | Desna(home) | 1-2 | Persha Liga |
| Oct 26, 2016 | Mykolaiv(away) | 0-0 | Cup |
What does the head-to-head say?
Across the last 1 meetings: 1 Arsenal Kyiv win(s), 0 draw(s), 0 Obolon'-Brovar win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2016 | Obolon'-Brovar 0-1 Arsenal Kyiv | Persha Liga |
Last archived meeting: Obolon'-Brovar vs Arsenal Kyiv on Aug 5, 2016
How many goals should we expect?
Arsenal Kyiv score 1.2 and concede 0.9 goals per match over their last 15; Obolon'-Brovar score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal Kyiv | 1.2 | 0.9 | 6 | 7/15 | 5/15 |
| Obolon'-Brovar | 1.1 | 0.9 | 7 | 5/15 | 7/15 |
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