Uzda vs Oshmyany: result 3-6 and analysis
2. DivisionRegular Season - 19Kick-off on August 31, 2019 at 03:00 PM (UTC)Stadyen Belita-Vitex, Teplen'
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What was the result of Uzda vs Oshmyany?
Oshmyany won 3-6 on August 31, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Uzda have 8 wins, 0 draws and 7 defeats; Oshmyany have 13, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Čist́(home) | 1-6 | 2. Division |
| Aug 17, 2019 | DYuSSh-3 Pinsk(home) | 2-0 | 2. Division |
| Aug 10, 2019 | Belshina II(home) | 6-3 | 2. Division |
| Jul 24, 2019 | Arsenal(away) | 2-1 | 2. Division |
| Jul 20, 2019 | Gorki(home) | 0-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2019 | Čist́(home) | 1-0 | 2. Division |
| Aug 10, 2019 | DYuSSh-3 Pinsk(away) | 2-1 | 2. Division |
| Jul 28, 2019 | FC Isloch Minsk R.(home) | 1-3 | Coppa |
| Jul 24, 2019 | Belshina II(away) | 2-0 | 2. Division |
| Jul 20, 2019 | Arsenal(home) | 1-0 | 2. Division |
What does the head-to-head say?
Across the last 6 meetings: 1 Uzda win(s), 0 draw(s), 5 Oshmyany win(s).
| Date | Score | Competition |
|---|---|---|
| May 12, 2019 | Oshmyany 2-1 Uzda | 2. Division |
| Nov 3, 2018 | Oshmyany 1-2 Uzda | 2. Division |
| Jul 21, 2018 | Uzda 1-3 Oshmyany | 2. Division |
| Sep 16, 2017 | Uzda 0-4 Oshmyany | 2. Division |
| Jun 3, 2017 | Oshmyany 2-1 Uzda | 2. Division |
| Nov 14, 2015 | Oshmyany 4-0 Uzda | 2. Division |
How many goals should we expect?
Uzda score 2.7 and concede 2.0 goals per match over their last 15; Oshmyany score 3.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uzda | 2.7 | 2.0 | 3 | 10/15 | 12/15 |
| Oshmyany | 3.7 | 0.7 | 8 | 7/15 | 11/15 |
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