Fc Luch Minsk vs Torpedo Zhodino: result 1-3 and analysis
Premier LeagueRegular Season - 13Kick-off on June 24, 2018 at 05:45 PM (UTC)SOK Olympijskij, Minsk
Full time
What was the result of Fc Luch Minsk vs Torpedo Zhodino?
Torpedo Zhodino won 1-3 on June 24, 2018.
Goalscorers
- 6′V. KlimovichTorpedo Zhodino
- 19′B. MyshenkoTorpedo Zhodino
- 26′D. YusovTorpedo Zhodino (pen.)
- 77′R. GribovskiyFc Luch Minsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fc Luch Minsk have 5 wins, 3 draws and 7 defeats; Torpedo Zhodino 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 |
|---|---|---|---|
| Jun 17, 2018 | Shakhter Soligorsk(away) | 0-4 | Premier League |
| Jun 11, 2018 | Neman(home) | 1-2 | Premier League |
| Jun 2, 2018 | FC Gomel(away) | 0-1 | Premier League |
| May 27, 2018 | Gorodeya(home) | 1-1 | Premier League |
| May 22, 2018 | FC Isloch Minsk R.(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2018 | FC Dnepr Mogilev(home) | 1-0 | Premier League |
| Jun 13, 2018 | Shakhter Soligorsk(away) | 0-1 | Premier League |
| Jun 3, 2018 | FC Slutsk(home) | 2-0 | Premier League |
| May 28, 2018 | Neman(away) | 0-1 | Premier League |
| May 21, 2018 | FC Vitebsk(away) | 0-2 | Premier League |
How many goals should we expect?
Fc Luch Minsk score 1.4 and concede 1.3 goals per match over their last 15; Torpedo Zhodino score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fc Luch Minsk | 1.4 | 1.3 | 6 | 5/15 | 6/15 |
| Torpedo Zhodino | 1.1 | 0.9 | 7 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Torpedo Zhodino | 17 | 6 | 5 | 6 | 23 | 18 | 23 |
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