Lokomotyvas Radviliškis vs Šilas: result 1-3 and analysis
1 LygaRegular Season - 19Kick-off on August 1, 2014 at 03:30 PM (UTC)Panevėžio futbolo akademijos stadionas, Panevėžys
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What was the result of Lokomotyvas Radviliškis vs Šilas?
Šilas won 1-3 on August 1, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotyvas Radviliškis have 2 wins, 1 draws and 12 defeats; Šilas have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2014 | Žalgirietis(home) | 0-3 | 1 Lyga |
| Jul 6, 2014 | Jonava(away) | 2-6 | 1 Lyga |
| Jul 2, 2014 | Utenis Utena(away) | 0-2 | 1 Lyga |
| Jun 24, 2014 | Šilutė(away) | 2-1 | 1 Lyga |
| Jun 15, 2014 | Baltija(away) | 3-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2014 | Žalgirietis(away) | 1-0 | 1 Lyga |
| Jul 6, 2014 | Šilutė(away) | 2-0 | 1 Lyga |
| Jun 28, 2014 | Baltija(home) | 4-1 | 1 Lyga |
| Jun 24, 2014 | Palanga(home) | 2-1 | 1 Lyga |
| Jun 18, 2014 | Stumbras(away) | 2-5 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Lokomotyvas Radviliškis win(s), 1 draw(s), 2 Šilas win(s).
| Date | Score | Competition |
|---|---|---|
| May 18, 2014 | Šilas 3-0 Lokomotyvas Radviliškis | 1 Lyga |
| Sep 4, 2013 | Šilas 4-1 Lokomotyvas Radviliškis | 1 Lyga |
| May 16, 2013 | Lokomotyvas Radviliškis 2-2 Šilas | 1 Lyga |
Last archived meeting: Šilas vs Lokomotyvas Radviliškis on May 18, 2014
How many goals should we expect?
Lokomotyvas Radviliškis score 0.7 and concede 2.5 goals per match over their last 15; Šilas score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotyvas Radviliškis | 0.7 | 2.5 | 0 | 6/15 | 9/15 |
| Šilas | 1.7 | 1.5 | 5 | 7/15 | 10/15 |
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