Molodechno-DYuSSh 4 vs ML Vitebsk: result 1-3 and analysis
2. Division2nd Stage - FinalsKick-off on October 5, 2014 at 01:00 PM (UTC)Stadyen Haradski, Slutsk
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What was the result of Molodechno-DYuSSh 4 vs ML Vitebsk?
ML Vitebsk won 1-3 on October 5, 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; ML Vitebsk have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2014 | ML Vitebsk(away) | 3-2 | 2. Division |
| Sep 20, 2014 | Kobrin(away) | 0-2 | 2. Division |
| Sep 13, 2014 | Uzda(home) | 2-4 | 2. Division |
| Sep 6, 2014 | Torpedo Minsk(home) | 2-1 | 2. Division |
| Aug 31, 2014 | NFK Minsk(away) | 1-4 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2014 | Molodechno-DYuSSh 4(home) | 2-3 | 2. Division |
| Sep 20, 2014 | Spartak(home) | 3-3 | 2. Division |
| Sep 13, 2014 | Orsha(away) | 1-4 | 2. Division |
| Sep 6, 2014 | Vitebsk II(home) | 0-1 | 2. Division |
| Aug 31, 2014 | Priozerie(away) | 0-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Molodechno-DYuSSh 4 win, 0 draws, 0 ML Vitebsk wins.
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2014 | ML Vitebsk 2-3 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: ML Vitebsk vs Molodechno-DYuSSh 4 on Sep 27, 2014
How many goals should we expect?
Molodechno-DYuSSh 4 score 2.0 and concede 1.8 goals per match over their last 15; ML Vitebsk score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 2.0 | 1.8 | 3 | 9/15 | 10/15 |
| ML Vitebsk | 1.9 | 1.7 | 1 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Molodechno-DYuSSh 4 vs ML Vitebsk?
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