Uzda vs Oshmyany: result 0-4 and analysis
2. DivisionRegular Season - 20Kick-off on September 16, 2017 at 01:00 PM (UTC)Stadyen Belita-Vitex, Teplen'
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What was the result of Uzda vs Oshmyany?
Oshmyany won 0-4 on September 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Uzda have 3 wins, 3 draws and 9 defeats; Oshmyany have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Sputnik(away) | 0-3 | 2. Division |
| Sep 2, 2017 | SMI Autotrans(home) | 0-5 | 2. Division |
| Aug 26, 2017 | Energosbyt-BSATU(away) | 2-2 | 2. Division |
| Aug 19, 2017 | SDJuShOR-8(away) | 3-4 | 2. Division |
| Aug 12, 2017 | Viktoriya Maryina Horka(home) | 1-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Viktoriya Maryina Horka(home) | 0-0 | 2. Division |
| Sep 2, 2017 | Molodechno-DYuSSh 4(away) | 4-3 | 2. Division |
| Aug 26, 2017 | SMI Autotrans(home) | 7-0 | 2. Division |
| Aug 19, 2017 | YuA-Stroy-DYuSSh(away) | 0-0 | 2. Division |
| Aug 12, 2017 | Kletsk(home) | 3-0 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Uzda wins, 0 draws, 3 Oshmyany wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Uzda score 1.8 and concede 2.8 goals per match over their last 15; Oshmyany score 3.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uzda | 1.8 | 2.8 | 1 | 12/15 | 13/15 |
| Oshmyany | 3.9 | 1.0 | 8 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Uzda vs Oshmyany?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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