Molodechno-DYuSSh 4 vs Baranovichi: result 1-3 and analysis
2. DivisionGroup B - 2Kick-off on May 4, 2014 at 01:00 PM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of Molodechno-DYuSSh 4 vs Baranovichi?
Baranovichi won 1-3 on May 4, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 4 wins, 2 draws and 9 defeats; Baranovichi have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2014 | Neman Mosty(away) | 1-2 | 2. Division |
| Nov 10, 2013 | Neman Mosty(home) | 1-4 | 2. Division |
| Nov 2, 2013 | Livadyya(away) | 1-2 | 2. Division |
| Oct 30, 2013 | Zhlobin(home) | 0-2 | 2. Division |
| Oct 27, 2013 | Osipovichy(home) | 1-4 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2014 | Torpedo Minsk(home) | 1-0 | 2. Division |
| Nov 10, 2013 | Vitebsk II(home) | 2-1 | 2. Division |
| Nov 3, 2013 | Kobrin(away) | 0-2 | 2. Division |
| Oct 27, 2013 | Orsha(home) | 1-0 | 2. Division |
| Oct 20, 2013 | Zorka-BDU(away) | 1-2 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Molodechno-DYuSSh 4 win(s), 0 draw(s), 1 Baranovichi win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2013 | Baranovichi 1-3 Molodechno-DYuSSh 4 | 2. Division |
| Jun 8, 2013 | Molodechno-DYuSSh 4 4-6 Baranovichi | 2. Division |
Last archived meeting: Baranovichi vs Molodechno-DYuSSh 4 on Sep 22, 2013
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.3 and concede 1.9 goals per match over their last 15; Baranovichi score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.3 | 1.9 | 3 | 9/15 | 11/15 |
| Baranovichi | 1.3 | 1.1 | 3 | 8/15 | 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