Molodechno-DYuSSh 4 vs Fc Luch Minsk: result 2-2 and analysis
2. DivisionRegular Season - 15Kick-off on August 25, 2013 at 02:00 PM (UTC)Stadyen Haradski, Molodechno
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What was the result of Molodechno-DYuSSh 4 vs Fc Luch Minsk?
Molodechno-DYuSSh 4 and Fc Luch Minsk drew 2-2 on August 25, 2013.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Molodechno-DYuSSh 4 have 3 wins, 2 draws and 8 defeats; Fc Luch Minsk have 2, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2013 | Lokomotiv Gomel(away) | 0-1 | 2. Division |
| Aug 4, 2013 | Neman Mosty(away) | 0-3 | 2. Division |
| Jul 21, 2013 | Livadyya(home) | 3-0 | 2. Division |
| Jul 14, 2013 | Osipovichy(away) | 0-0 | 2. Division |
| Jul 7, 2013 | Vitebsk II(home) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2013 | Lokomotiv Gomel(away) | 2-3 | 2. Division |
| Jul 21, 2013 | Neman Mosty(home) | 0-0 | 2. Division |
| Jul 13, 2013 | Livadyya(away) | 1-3 | 2. Division |
| Jul 7, 2013 | Osipovichy(home) | 1-0 | 2. Division |
| Jun 30, 2013 | Vitebsk II(away) | 0-0 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Molodechno-DYuSSh 4 win(s), 0 draw(s), 0 Fc Luch Minsk win(s).
| Date | Score | Competition |
|---|---|---|
| May 12, 2013 | Fc Luch Minsk 1-3 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: Fc Luch Minsk vs Molodechno-DYuSSh 4 on May 12, 2013
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.2 and concede 2.2 goals per match over their last 13; Fc Luch Minsk score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.2 | 2.2 | 2 | 6/13 | 8/13 |
| Fc Luch Minsk | 1.0 | 1.7 | 4 | 8/12 | 7/12 |
Over the last 13 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