Oshmyany vs Arsenal: result 2-4 and analysis
1. DivisionRegular Season - 14Kick-off on November 15, 2020 at 11:00 AM (UTC)Stadyen FOK, Oshmyany
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What was the result of Oshmyany vs Arsenal?
Arsenal won 2-4 on November 15, 2020.
Goalscorers
- 17′B. DubovikOshmyany
- 36′A. KiykoArsenal
- 54′Ihor VoronkovArsenal
- 58′P. DemidchikOshmyany
- 62′A. KiykoArsenal
- 77′A. KiykoArsenal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oshmyany have 3 wins, 4 draws and 8 defeats; Arsenal have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2020 | Lokomotiv Gomel(home) | 0-6 | 1. Division |
| Oct 31, 2020 | FC Gomel(away) | 0-2 | 1. Division |
| Oct 24, 2020 | Khimik Svetlogorsk(home) | 0-0 | 1. Division |
| Oct 18, 2020 | Granit(away) | 3-1 | 1. Division |
| Oct 11, 2020 | Naftan(home) | 5-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2020 | Slonim(away) | 1-0 | 1. Division |
| Nov 1, 2020 | Lida(home) | 1-2 | 1. Division |
| Oct 25, 2020 | Orsha(away) | 1-0 | 1. Division |
| Oct 21, 2020 | Naftan(away) | 1-2 | 1. Division |
| Oct 17, 2020 | Volna(home) | 3-2 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Oshmyany win(s), 0 draw(s), 1 Arsenal win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 18, 2020 | Arsenal 0-3 Oshmyany | 1. Division |
| Nov 9, 2019 | Arsenal 2-1 Oshmyany | 2. Division |
| Jul 20, 2019 | Oshmyany 1-0 Arsenal | 2. Division |
How many goals should we expect?
Oshmyany score 1.3 and concede 2.1 goals per match over their last 15; Arsenal score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oshmyany | 1.3 | 2.1 | 2 | 6/15 | 7/15 |
| Arsenal | 1.7 | 1.0 | 5 | 10/15 | 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