Molodechno-DYuSSh 4 vs Uzda: result 2-4 and analysis
2. DivisionGroup B - 21Kick-off on September 13, 2014 at 01:00 PM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of Molodechno-DYuSSh 4 vs Uzda?
Uzda won 2-4 on September 13, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 8 wins, 0 draws and 7 defeats; Uzda have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Torpedo Minsk(home) | 2-1 | 2. Division |
| Aug 31, 2014 | NFK Minsk(away) | 1-4 | 2. Division |
| Aug 23, 2014 | Partizan Minsk(home) | 3-0 | 2. Division |
| Aug 17, 2014 | YuA-Stroy-DYuSSh(away) | 2-0 | 2. Division |
| Aug 10, 2014 | Kolos-Druzhba(home) | 6-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Kletsk(home) | 7-3 | 2. Division |
| Aug 31, 2014 | Torpedo Minsk(away) | 3-2 | 2. Division |
| Aug 24, 2014 | Livadyya(home) | 3-0 | 2. Division |
| Aug 17, 2014 | NFK Minsk(away) | 1-0 | 2. Division |
| Aug 10, 2014 | Baranovichi(home) | 0-3 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Molodechno-DYuSSh 4 win, 0 draws, 0 Uzda wins.
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2014 | Uzda 1-3 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: Uzda vs Molodechno-DYuSSh 4 on Jul 6, 2014
How many goals should we expect?
Molodechno-DYuSSh 4 score 2.1 and concede 1.7 goals per match over their last 15; Uzda score 3.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 2.1 | 1.7 | 4 | 8/15 | 9/15 |
| Uzda | 3.3 | 1.5 | 4 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Molodechno-DYuSSh 4 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