Torpedo Minsk vs Fc Luch Minsk: result 4-2 and analysis
1. DivisionRegular Season - 21Kick-off on October 2, 2016 at 01:00 PM (UTC)Stadyen Tarpeda, Minsk
Full time
What was the result of Torpedo Minsk vs Fc Luch Minsk?
Torpedo Minsk won 4-2 on October 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torpedo Minsk have 3 wins, 6 draws and 6 defeats; Fc Luch Minsk have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | FC Dnepr Mogilev(away) | 0-0 | 1. Division |
| Sep 18, 2016 | Orsha(home) | 1-1 | 1. Division |
| Sep 10, 2016 | Oshmyany(home) | 3-2 | 1. Division |
| Sep 4, 2016 | Lokomotiv Gomel(home) | 0-1 | 1. Division |
| Aug 28, 2016 | Smorgon(home) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Smolevichi-Sti(home) | 1-0 | 1. Division |
| Sep 17, 2016 | Zorka-BDU(away) | 2-3 | 1. Division |
| Sep 10, 2016 | Slonim(home) | 0-0 | 1. Division |
| Sep 2, 2016 | Lida(away) | 0-1 | 1. Division |
| Aug 27, 2016 | FC Gomel(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Torpedo Minsk win(s), 1 draw(s), 1 Fc Luch Minsk win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2016 | Fc Luch Minsk 3-1 Torpedo Minsk | 1. Division |
| Aug 1, 2015 | Fc Luch Minsk 0-1 Torpedo Minsk | 2. Division |
| May 9, 2015 | Torpedo Minsk 1-1 Fc Luch Minsk | 2. Division |
Last archived meeting: Fc Luch Minsk vs Torpedo Minsk on Jun 4, 2016
How many goals should we expect?
Torpedo Minsk score 1.3 and concede 1.6 goals per match over their last 15; Fc Luch Minsk score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Minsk | 1.3 | 1.6 | 1 | 10/15 | 8/15 |
| Fc Luch Minsk | 1.8 | 1.1 | 5 | 8/15 | 8/15 |
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