Šilutė vs Lokomotyvas Radviliškis: result 1-2 and analysis
1 LygaRegular Season - 14Kick-off on June 24, 2014 at 11:00 AM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Lokomotyvas Radviliškis?
Lokomotyvas Radviliškis won 1-2 on June 24, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 2 wins, 5 draws and 8 defeats; Lokomotyvas Radviliškis have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2014 | Žalgirietis(away) | 1-1 | 1 Lyga |
| Jun 14, 2014 | Utenis Utena(home) | 1-1 | 1 Lyga |
| Jun 4, 2014 | Baltija(away) | 5-0 | 1 Lyga |
| May 31, 2014 | Palanga(home) | 0-1 | 1 Lyga |
| May 24, 2014 | Stumbras(home) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2014 | Baltija(away) | 3-1 | 1 Lyga |
| 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 |
What does the head-to-head say?
Across the last 4 meetings: 1 Šilutė win(s), 2 draw(s), 1 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2014 | Lokomotyvas Radviliškis 0-1 Šilutė | 1 Lyga |
| Oct 12, 2013 | Šilutė 1-1 Lokomotyvas Radviliškis | 1 Lyga |
| Jun 29, 2013 | Šilutė 0-3 Lokomotyvas Radviliškis | 1 Lyga |
| Apr 14, 2013 | Lokomotyvas Radviliškis 0-0 Šilutė | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Šilutė on Apr 12, 2014
How many goals should we expect?
Šilutė score 1.0 and concede 1.5 goals per match over their last 15; Lokomotyvas Radviliškis score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 1.0 | 1.5 | 4 | 7/15 | 6/15 |
| Lokomotyvas Radviliškis | 1.0 | 2.3 | 1 | 5/15 | 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