Oshmyany vs Uzda: result 1-2 and analysis
2. DivisionRegular Season - 29Kick-off on November 3, 2018 at 11:00 AM (UTC)Stadyen FOK, Oshmyany
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What was the result of Oshmyany vs Uzda?
Uzda won 1-2 on November 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oshmyany have 8 wins, 2 draws and 5 defeats; Uzda have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Neman-Agro(away) | 1-2 | 2. Division |
| Oct 20, 2018 | Bumprom(home) | 9-0 | 2. Division |
| Oct 13, 2018 | Molodechno-DYuSSh 4(away) | 6-0 | 2. Division |
| Oct 6, 2018 | Kletsk(home) | 3-2 | 2. Division |
| Sep 29, 2018 | SMI Autotrans(away) | 4-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Ivatsevichi(home) | 1-1 | 2. Division |
| Oct 20, 2018 | Energosbyt-BSATU(away) | 3-0 | 2. Division |
| Oct 13, 2018 | Gorki(home) | 1-2 | 2. Division |
| Oct 6, 2018 | Viktoriya Maryina Horka(away) | 0-2 | 2. Division |
| Sep 29, 2018 | Sputnik(home) | 0-5 | 2. Division |
What does the head-to-head say?
Across the last 5 meetings: 5 Oshmyany wins, 0 draws, 0 Uzda wins.
| Date | Score | Competition |
|---|---|---|
| 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 |
| Oct 17, 2015 | Uzda 1-3 Oshmyany | 2. Division |
How many goals should we expect?
Oshmyany score 2.7 and concede 1.3 goals per match over their last 15; Uzda score 1.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oshmyany | 2.7 | 1.3 | 3 | 9/15 | 10/15 |
| Uzda | 1.9 | 1.8 | 2 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Oshmyany vs Uzda?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy