Smolevichi-Sti vs Torpedo Minsk: result 0-1 and analysis
1. DivisionRegular Season - 2Kick-off on April 15, 2017 at 11:00 AM (UTC)Stadyen FLC Oktyabrsky, Oktyabrsky
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What was the result of Smolevichi-Sti vs Torpedo Minsk?
Torpedo Minsk won 0-1 on April 15, 2017.
Goalscorers
- 68′N. PatskoTorpedo Minsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smolevichi-Sti have 5 wins, 6 draws and 4 defeats; Torpedo Minsk have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Lida(home) | 3-1 | 1. Division |
| Nov 5, 2016 | Baranovichi(away) | 0-0 | 1. Division |
| Oct 29, 2016 | Zorka-BDU(home) | 1-0 | 1. Division |
| Oct 22, 2016 | Slonim(away) | 6-1 | 1. Division |
| Oct 15, 2016 | Lida(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Slonim(away) | 0-2 | 1. Division |
| Nov 5, 2016 | Zorka-BDU(away) | 1-0 | 1. Division |
| Oct 29, 2016 | Slonim(home) | 4-1 | 1. Division |
| Oct 22, 2016 | Lida(away) | 1-2 | 1. Division |
| Oct 16, 2016 | FC Gomel(home) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Smolevichi-Sti win(s), 1 draw(s), 0 Torpedo Minsk win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2016 | Torpedo Minsk 2-2 Smolevichi-Sti | 1. Division |
| Apr 16, 2016 | Smolevichi-Sti 2-1 Torpedo Minsk | 1. Division |
Last archived meeting: Torpedo Minsk vs Smolevichi-Sti on Aug 14, 2016
How many goals should we expect?
Smolevichi-Sti score 1.5 and concede 0.8 goals per match over their last 15; Torpedo Minsk score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smolevichi-Sti | 1.5 | 0.8 | 6 | 6/15 | 7/15 |
| Torpedo Minsk | 1.6 | 1.2 | 3 | 8/15 | 7/15 |
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