Lokomotyvas Radviliškis vs Šilas: result 1-3 and analysis
1 LygaRegular Season - 11Kick-off on June 2, 2015 at 04:00 PM (UTC)Radviliškio miesto centrinis stadionas, Radviliškis
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What was the result of Lokomotyvas Radviliškis vs Šilas?
Šilas won 1-3 on June 2, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotyvas Radviliškis have 6 wins, 1 draws and 8 defeats; Šilas have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | FK Panevezys(home) | 1-2 | 1 Lyga |
| May 24, 2015 | Minija(home) | 1-0 | 1 Lyga |
| May 16, 2015 | Kražantė(home) | 3-0 | 1 Lyga |
| May 9, 2015 | Auska(away) | 4-0 | 1 Lyga |
| May 4, 2015 | Trakai II(away) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | Kražantė(away) | 3-2 | 1 Lyga |
| May 24, 2015 | Banga(away) | 1-2 | 1 Lyga |
| May 16, 2015 | MRU(away) | 3-0 | 1 Lyga |
| May 12, 2015 | Jonava(away) | 0-4 | 1 Lyga |
| May 1, 2015 | FK Panevezys(away) | 4-3 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 0 Lokomotyvas Radviliškis win(s), 1 draw(s), 3 Šilas win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2014 | Lokomotyvas Radviliškis 1-3 Šilas | 1 Lyga |
| 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: Lokomotyvas Radviliškis vs Šilas on Aug 1, 2014
How many goals should we expect?
Lokomotyvas Radviliškis score 1.8 and concede 1.9 goals per match over their last 15; Šilas score 2.0 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotyvas Radviliškis | 1.8 | 1.9 | 3 | 9/15 | 12/15 |
| Šilas | 2.0 | 2.5 | 3 | 11/15 | 14/15 |
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