Torpedo Minsk vs Neman-Agro: result 5-0 and analysis
1. DivisionRegular Season - 21Kick-off on September 9, 2017 at 02:00 PM (UTC)Stadyen Tarpeda, Minsk
Full time
What was the result of Torpedo Minsk vs Neman-Agro?
Torpedo Minsk won 5-0 on September 9, 2017.
Goalscorers
- 27′S. KorsakTorpedo Minsk
- 55′Fedor SaponTorpedo Minsk
- 68′N. PatskoTorpedo Minsk
- 74′N. PatskoTorpedo Minsk
- 90′Maksim SanetsTorpedo Minsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torpedo Minsk have 8 wins, 3 draws and 4 defeats; Neman-Agro have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2017 | Lida(home) | 1-1 | 1. Division |
| Aug 26, 2017 | Osipovichy(away) | 2-1 | 1. Division |
| Aug 19, 2017 | Belshina(home) | 1-3 | 1. Division |
| Aug 12, 2017 | Smolevichi-Sti(home) | 1-0 | 1. Division |
| Aug 5, 2017 | Slonim(home) | 3-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2017 | Orsha(home) | 3-6 | 1. Division |
| Aug 26, 2017 | Lida(away) | 0-2 | 1. Division |
| Aug 19, 2017 | Smorgon(away) | 1-1 | 1. Division |
| Aug 12, 2017 | Osipovichy(away) | 2-3 | 1. Division |
| Aug 5, 2017 | Baranovichi(away) | 1-3 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Torpedo Minsk win(s), 1 draw(s), 0 Neman-Agro win(s).
| Date | Score | Competition |
|---|---|---|
| May 13, 2017 | Neman-Agro 3-3 Torpedo Minsk | 1. Division |
Last archived meeting: Neman-Agro vs Torpedo Minsk on May 13, 2017
How many goals should we expect?
Torpedo Minsk score 1.6 and concede 1.3 goals per match over their last 15; Neman-Agro score 1.1 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Minsk | 1.6 | 1.3 | 3 | 9/15 | 9/15 |
| Neman-Agro | 1.1 | 2.9 | 1 | 8/15 | 12/15 |
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