Molodechno-DYuSSh 4 vs Osipovichy: result 1-4 and analysis
2. DivisionRegular Season - 24Kick-off on October 27, 2013 at 11:00 AM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of Molodechno-DYuSSh 4 vs Osipovichy?
Osipovichy won 1-4 on October 27, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 5 wins, 3 draws and 7 defeats; Osipovichy have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2013 | Vitebsk II(away) | 2-3 | 2. Division |
| Oct 13, 2013 | Kobrin(home) | 1-0 | 2. Division |
| Oct 6, 2013 | Orsha(away) | 1-2 | 2. Division |
| Sep 29, 2013 | Zorka-BDU(home) | 3-3 | 2. Division |
| Sep 22, 2013 | Baranovichi(away) | 3-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2013 | Fc Luch Minsk(home) | 1-1 | 2. Division |
| Oct 13, 2013 | Lokomotiv Gomel(away) | 0-3 | 2. Division |
| Oct 6, 2013 | Neman Mosty(home) | 1-3 | 2. Division |
| Sep 28, 2013 | Livadyya(away) | 2-2 | 2. Division |
| Sep 14, 2013 | Vitebsk II(home) | 1-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Molodechno-DYuSSh 4 wins, 1 draw, 0 Osipovichy wins.
| Date | Score | Competition |
|---|---|---|
| Jul 14, 2013 | Osipovichy 0-0 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: Osipovichy vs Molodechno-DYuSSh 4 on Jul 14, 2013
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.3 and concede 1.7 goals per match over their last 15; Osipovichy score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.3 | 1.7 | 4 | 7/15 | 10/15 |
| Osipovichy | 1.1 | 1.7 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Molodechno-DYuSSh 4 vs Osipovichy?
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