Osipovichy vs Uzda: result 3-1 and analysis
2. DivisionRegular Season - 23Kick-off on September 22, 2018 at 01:30 PM (UTC)Stadyen Junatstva, Osipovichy
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What was the result of Osipovichy vs Uzda?
Osipovichy won 3-1 on September 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Osipovichy have 6 wins, 4 draws and 5 defeats; Uzda have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | Neman-Agro(away) | 1-1 | 2. Division |
| Sep 8, 2018 | Bumprom(home) | 7-0 | 2. Division |
| Sep 1, 2018 | Molodechno-DYuSSh 4(away) | 0-2 | 2. Division |
| Aug 25, 2018 | Kletsk(home) | 1-0 | 2. Division |
| Aug 18, 2018 | SMI Autotrans(away) | 2-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | NFK Minsk(home) | 2-1 | 2. Division |
| Sep 8, 2018 | Ruh Brest(away) | 2-3 | 2. Division |
| Aug 25, 2018 | Neman-Agro(home) | 6-0 | 2. Division |
| Aug 11, 2018 | Molodechno-DYuSSh 4(home) | 2-2 | 2. Division |
| Aug 4, 2018 | Kletsk(away) | 6-2 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Osipovichy win, 0 draws, 2 Uzda wins.
| Date | Score | Competition |
|---|---|---|
| Jun 9, 2018 | Uzda 2-1 Osipovichy | 2. Division |
| Oct 24, 2015 | Uzda 4-0 Osipovichy | 2. Division |
| Sep 26, 2015 | Osipovichy 6-3 Uzda | 2. Division |
How many goals should we expect?
Osipovichy score 2.0 and concede 1.3 goals per match over their last 15; Uzda score 2.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Osipovichy | 2.0 | 1.3 | 6 | 7/15 | 8/15 |
| Uzda | 2.1 | 1.7 | 2 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Osipovichy vs Uzda?
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