Lokomotyvas Radviliškis vs Kauno Žalgiris: result 0-2 and analysis
1 LygaRegular Season - 5Kick-off on May 10, 2014 at 11:30 AM (UTC)Panevėžio futbolo akademijos stadionas, Panevėžys
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What was the result of Lokomotyvas Radviliškis vs Kauno Žalgiris?
Kauno Žalgiris won 0-2 on May 10, 2014.
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; Kauno Žalgiris 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 |
|---|---|---|---|
| May 3, 2014 | Jonava(home) | 0-1 | 1 Lyga |
| Apr 26, 2014 | Utenis Utena(home) | 0-2 | 1 Lyga |
| Apr 19, 2014 | Žalgirietis(away) | 3-2 | 1 Lyga |
| Apr 12, 2014 | Šilutė(home) | 0-1 | 1 Lyga |
| Oct 27, 2013 | Palanga(home) | 6-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2014 | Žalgirietis(home) | 3-1 | 1 Lyga |
| Apr 26, 2014 | Šilutė(away) | 2-0 | 1 Lyga |
| Apr 11, 2014 | Baltija(away) | 1-1 | 1 Lyga |
| Oct 27, 2013 | Nevėžis(away) | 0-4 | 1 Lyga |
| Oct 20, 2013 | FK Trakai(home) | 2-8 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Lokomotyvas Radviliškis win(s), 0 draw(s), 1 Kauno Žalgiris win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2013 | Lokomotyvas Radviliškis 3-2 Kauno Žalgiris | 1 Lyga |
| May 26, 2013 | Kauno Žalgiris 3-2 Lokomotyvas Radviliškis | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Kauno Žalgiris on Aug 24, 2013
How many goals should we expect?
Lokomotyvas Radviliškis score 2.1 and concede 2.2 goals per match over their last 15; Kauno Žalgiris score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotyvas Radviliškis | 2.1 | 2.2 | 2 | 8/15 | 11/15 |
| Kauno Žalgiris | 1.9 | 2.1 | 4 | 8/15 | 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