Kauno Žalgiris vs Lokomotyvas Radviliškis: result 3-0 and analysis
1 LygaRegular Season - 18Kick-off on June 11, 2014 at 04:00 PM (UTC)S. Dariaus ir S. Gireno stadionas, Kaunas
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What was the result of Kauno Žalgiris vs Lokomotyvas Radviliškis?
Kauno Žalgiris won 3-0 on June 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kauno Žalgiris have 7 wins, 4 draws and 4 defeats; Lokomotyvas Radviliškis have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2014 | MRU(home) | 2-1 | 1 Lyga |
| Jun 3, 2014 | Tauras(away) | 1-1 | 1 Lyga |
| May 29, 2014 | Nevėžis(home) | 2-0 | 1 Lyga |
| May 25, 2014 | Šilas(away) | 2-0 | 1 Lyga |
| May 21, 2014 | Utenis Utena(home) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 24, 2014 | Tauras(home) | 1-1 | 1 Lyga |
| May 21, 2014 | Nevėžis(home) | 0-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Kauno Žalgiris win(s), 0 draw(s), 1 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| May 10, 2014 | Lokomotyvas Radviliškis 0-2 Kauno Žalgiris | 1 Lyga |
| 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 May 10, 2014
How many goals should we expect?
Kauno Žalgiris score 1.5 and concede 1.5 goals per match over their last 15; Lokomotyvas Radviliškis score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kauno Žalgiris | 1.5 | 1.5 | 5 | 8/15 | 6/15 |
| Lokomotyvas Radviliškis | 1.3 | 2.3 | 1 | 6/15 | 8/15 |
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