Livadyya vs Molodechno-DYuSSh 4: result 2-1 and analysis
2. DivisionRegular Season - 25Kick-off on November 2, 2013 at 11:00 AM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of Livadyya vs Molodechno-DYuSSh 4?
Livadyya won 2-1 on November 2, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Livadyya have 3 wins, 4 draws and 8 defeats; Molodechno-DYuSSh 4 have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2013 | Fc Luch Minsk(away) | 1-0 | 2. Division |
| Oct 19, 2013 | Lokomotiv Gomel(home) | 0-2 | 2. Division |
| Oct 13, 2013 | Neman Mosty(away) | 1-7 | 2. Division |
| Sep 28, 2013 | Osipovichy(home) | 2-2 | 2. Division |
| Sep 22, 2013 | Vitebsk II(away) | 2-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2013 | Zhlobin(home) | 0-2 | 2. Division |
| Oct 27, 2013 | Osipovichy(home) | 1-4 | 2. Division |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Livadyya wins, 0 draws, 1 Molodechno-DYuSSh 4 win.
| Date | Score | Competition |
|---|---|---|
| Jul 21, 2013 | Molodechno-DYuSSh 4 3-0 Livadyya | 2. Division |
Last archived meeting: Molodechno-DYuSSh 4 vs Livadyya on Jul 21, 2013
How many goals should we expect?
Livadyya score 0.9 and concede 2.3 goals per match over their last 15; Molodechno-DYuSSh 4 score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Livadyya | 0.9 | 2.3 | 2 | 7/15 | 9/15 |
| Molodechno-DYuSSh 4 | 1.3 | 1.7 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Livadyya vs Molodechno-DYuSSh 4?
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