Molodechno-DYuSSh 4 vs Dyussh-DSK: result 5-1 and analysis
2. DivisionRegular Season - 14Kick-off on August 13, 2016 at 02:00 PM (UTC)Stadyen Haradski, Molodechno
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What was the result of Molodechno-DYuSSh 4 vs Dyussh-DSK?
Molodechno-DYuSSh 4 won 5-1 on August 13, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 8 wins, 1 draw and 6 defeats; Dyussh-DSK have 1, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | Neman-Agro(home) | 4-1 | 2. Division |
| Jul 30, 2016 | Kletsk(away) | 2-1 | 2. Division |
| Jul 23, 2016 | ML Vitebsk(home) | 2-0 | 2. Division |
| Jul 16, 2016 | YuA-Stroy-DYuSSh(away) | 0-4 | 2. Division |
| Jul 9, 2016 | Torpedo Mogilev(home) | 5-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | Vertykal(away) | 2-2 | 2. Division |
| Jul 31, 2016 | Volna(home) | 1-1 | 2. Division |
| Jul 24, 2016 | Montazhnik(away) | 2-2 | 2. Division |
| Jul 16, 2016 | Neman-Agro(home) | 2-2 | 2. Division |
| Jul 10, 2016 | Kletsk(home) | 0-3 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Molodechno-DYuSSh 4 wins, 1 draw, 0 Dyussh-DSK wins.
| Date | Score | Competition |
|---|---|---|
| Apr 30, 2016 | Dyussh-DSK 0-0 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: Dyussh-DSK vs Molodechno-DYuSSh 4 on Apr 30, 2016
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.8 and concede 1.1 goals per match over their last 15; Dyussh-DSK score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.8 | 1.1 | 4 | 7/15 | 9/15 |
| Dyussh-DSK | 1.2 | 1.8 | 1 | 9/12 | 9/12 |
Over the last 15 matches in all competitions.
A question about Molodechno-DYuSSh 4 vs Dyussh-DSK?
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