Molodechno-DYuSSh 4 vs Torpedo Mogilev: result 5-1 and analysis
2. DivisionRegular Season - 9Kick-off on July 9, 2016 at 02:00 PM (UTC)Stadyen Haradski, Molodechno
Full time
What was the result of Molodechno-DYuSSh 4 vs Torpedo Mogilev?
Molodechno-DYuSSh 4 won 5-1 on July 9, 2016.
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; Torpedo Mogilev have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Victoria Maryina Gorka(away) | 5-2 | 2. Division |
| Jun 26, 2016 | Zabudova-2007(home) | 2-0 | 2. Division |
| Jun 4, 2016 | Osipovichy(away) | 0-1 | 2. Division |
| May 29, 2016 | Montazhnik(away) | 3-0 | 2. Division |
| May 22, 2016 | Vertykal(away) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Vertykal(home) | 2-3 | 2. Division |
| Jun 25, 2016 | Volna(away) | 1-8 | 2. Division |
| Jun 19, 2016 | Dyussh-DSK(away) | 2-1 | 2. Division |
| Jun 4, 2016 | Neman-Agro(away) | 2-4 | 2. Division |
| May 28, 2016 | Kletsk(home) | 0-2 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Molodechno-DYuSSh 4 win(s), 0 draw(s), 1 Torpedo Mogilev win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2015 | Torpedo Mogilev 0-1 Molodechno-DYuSSh 4 | 2. Division |
| Jul 4, 2015 | Molodechno-DYuSSh 4 1-2 Torpedo Mogilev | 2. Division |
Last archived meeting: Torpedo Mogilev vs Molodechno-DYuSSh 4 on Sep 19, 2015
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.1 and concede 1.0 goals per match over their last 15; Torpedo Mogilev score 1.6 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.1 | 1.0 | 5 | 5/15 | 5/15 |
| Torpedo Mogilev | 1.6 | 2.2 | 4 | 8/15 | 10/15 |
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