Žalgirietis vs Lokomotyvas Radviliškis: result 2-3 and analysis
1 LygaRegular Season - 2Kick-off on April 19, 2014 at 03:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgirietis vs Lokomotyvas Radviliškis?
Lokomotyvas Radviliškis won 2-3 on April 19, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgirietis have 9 wins, 2 draws and 4 defeats; Lokomotyvas Radviliškis have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2014 | Utenis Utena(home) | 2-1 | 1 Lyga |
| Oct 27, 2013 | Polonija(home) | 3-0 | 1 Lyga |
| Oct 19, 2013 | Lokomotyvas Radviliškis(away) | 6-0 | 1 Lyga |
| Oct 13, 2013 | Palanga(home) | 9-0 | 1 Lyga |
| Oct 5, 2013 | Šilutė(home) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2014 | Šilutė(home) | 0-1 | 1 Lyga |
| Oct 27, 2013 | Palanga(home) | 6-0 | 1 Lyga |
| Oct 19, 2013 | Žalgirietis(home) | 0-6 | 1 Lyga |
| Oct 12, 2013 | Šilutė(away) | 1-1 | 1 Lyga |
| Oct 6, 2013 | Baltija(home) | 6-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Žalgirietis win(s), 0 draw(s), 1 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2013 | Lokomotyvas Radviliškis 0-6 Žalgirietis | 1 Lyga |
| Sep 7, 2013 | Žalgirietis 3-0 Lokomotyvas Radviliškis | 1 Lyga |
| Jun 5, 2013 | Lokomotyvas Radviliškis 2-0 Žalgirietis | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Žalgirietis on Oct 19, 2013
How many goals should we expect?
Žalgirietis score 2.9 and concede 1.3 goals per match over their last 15; Lokomotyvas Radviliškis score 2.1 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgirietis | 2.9 | 1.3 | 6 | 7/15 | 13/15 |
| Lokomotyvas Radviliškis | 2.1 | 2.2 | 3 | 8/15 | 11/15 |
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