Baltija vs Lokomotyvas Radviliškis: result 1-3 and analysis
1 LygaRegular Season - 12Kick-off on June 15, 2014 at 09:00 AM (UTC)Panevėžio futbolo akademijos stadionas, Panevėžys
Full time
What was the result of Baltija vs Lokomotyvas Radviliškis?
Lokomotyvas Radviliškis won 1-3 on June 15, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baltija have 2 wins, 1 draws and 12 defeats; Lokomotyvas Radviliškis 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 |
|---|---|---|---|
| Jun 8, 2014 | Žalgirietis(home) | 0-6 | 1 Lyga |
| Jun 4, 2014 | Šilutė(home) | 0-5 | 1 Lyga |
| May 25, 2014 | Utenis Utena(away) | 0-4 | 1 Lyga |
| May 21, 2014 | Palanga(home) | 2-1 | 1 Lyga |
| May 16, 2014 | Stumbras(home) | 1-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2014 | Kauno Žalgiris(away) | 0-3 | 1 Lyga |
| Jun 7, 2014 | Palanga(away) | 1-3 | 1 Lyga |
| Jun 3, 2014 | Stumbras(away) | 0-6 | 1 Lyga |
| May 30, 2014 | MRU(home) | 1-2 | 1 Lyga |
| May 24, 2014 | Tauras(home) | 1-1 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Baltija win(s), 0 draw(s), 2 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2013 | Lokomotyvas Radviliškis 6-2 Baltija | 1 Lyga |
| Sep 15, 2013 | Lokomotyvas Radviliškis 1-3 Baltija | 1 Lyga |
| Jun 16, 2013 | Baltija 1-2 Lokomotyvas Radviliškis | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Baltija on Oct 6, 2013
How many goals should we expect?
Baltija score 1.1 and concede 3.6 goals per match over their last 15; Lokomotyvas Radviliškis score 0.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baltija | 1.1 | 3.6 | 0 | 9/15 | 14/15 |
| Lokomotyvas Radviliškis | 0.9 | 2.3 | 1 | 5/15 | 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