Livadyya vs Lokomotiv Gomel: result 0-2 and analysis
2. DivisionRegular Season - 23Kick-off on October 19, 2013 at 11:00 AM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of Livadyya vs Lokomotiv Gomel?
Lokomotiv Gomel won 0-2 on October 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Livadyya have 3 wins, 5 draws and 7 defeats; Lokomotiv Gomel have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2013 | Neman Mosty(away) | 1-7 | 2. Division |
| Sep 28, 2013 | Osipovichy(home) | 2-2 | 2. Division |
| Sep 22, 2013 | Vitebsk II(away) | 2-2 | 2. Division |
| Sep 14, 2013 | Kobrin(home) | 0-1 | 2. Division |
| Sep 8, 2013 | Orsha(away) | 0-5 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2013 | Osipovichy(home) | 3-0 | 2. Division |
| Oct 6, 2013 | Vitebsk II(away) | 1-1 | 2. Division |
| Sep 29, 2013 | Kobrin(home) | 3-1 | 2. Division |
| Sep 22, 2013 | Orsha(away) | 1-0 | 2. Division |
| Sep 14, 2013 | Zorka-BDU(home) | 1-0 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Livadyya win(s), 0 draw(s), 2 Lokomotiv Gomel win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2013 | Lokomotiv Gomel 5-0 Livadyya | 2. Division |
| Aug 31, 2012 | Livadyya 1-3 Lokomotiv Gomel | 2. Division |
| May 19, 2012 | Lokomotiv Gomel 0-2 Livadyya | 2. Division |
Last archived meeting: Lokomotiv Gomel vs Livadyya on Aug 11, 2013
How many goals should we expect?
Livadyya score 1.1 and concede 2.3 goals per match over their last 15; Lokomotiv Gomel score 2.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Livadyya | 1.1 | 2.3 | 2 | 8/15 | 10/15 |
| Lokomotiv Gomel | 2.8 | 0.6 | 8 | 7/15 | 9/15 |
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