Molodechno-DYuSSh 4 vs Uzda: result 1-2 and analysis
2. DivisionPromotion Round - 6Kick-off on October 31, 2015 at 11:30 AM (UTC)Stadyen Haradski, Slutsk
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What was the result of Molodechno-DYuSSh 4 vs Uzda?
Uzda won 1-2 on October 31, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 8 wins, 3 draws and 4 defeats; Uzda have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2015 | Torpedo Minsk(away) | 0-2 | 2. Division |
| Oct 17, 2015 | Kletsk(away) | 1-0 | 2. Division |
| Oct 10, 2015 | Fc Luch Minsk(home) | 0-2 | 2. Division |
| Oct 3, 2015 | Uzda(away) | 1-1 | 2. Division |
| Sep 26, 2015 | Torpedo Minsk(home) | 0-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2015 | Osipovichy(home) | 4-0 | 2. Division |
| Oct 17, 2015 | Oshmyany(home) | 1-3 | 2. Division |
| Oct 10, 2015 | Victoria Maryina Gorka(away) | 1-1 | 2. Division |
| Oct 3, 2015 | Molodechno-DYuSSh 4(home) | 1-1 | 2. Division |
| Sep 26, 2015 | Osipovichy(away) | 3-6 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Molodechno-DYuSSh 4 win(s), 1 draw(s), 1 Uzda win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2015 | Uzda 1-1 Molodechno-DYuSSh 4 | 2. Division |
| Sep 13, 2014 | Molodechno-DYuSSh 4 2-4 Uzda | 2. Division |
| Jul 6, 2014 | Uzda 1-3 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: Uzda vs Molodechno-DYuSSh 4 on Oct 3, 2015
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.8 and concede 0.9 goals per match over their last 15; Uzda score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.8 | 0.9 | 7 | 6/15 | 7/15 |
| Uzda | 2.3 | 1.3 | 5 | 10/15 | 9/15 |
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