Lokomotyvas Radviliškis vs Kauno Žalgiris: result 3-2 and analysis
1 LygaMatchday 18Kick-off on August 24, 2013 at 09:00 AM (UTC)Radviliškio miesto centrinis stadionas, Radviliškis
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What was the result of Lokomotyvas Radviliškis vs Kauno Žalgiris?
Lokomotyvas Radviliškis won 3-2 on August 24, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotyvas Radviliškis have 7 wins, 3 draws and 5 defeats; Kauno Žalgiris have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2013 | Jonava(away) | 2-0 | 1 Lyga |
| Aug 2, 2013 | Nevėžis(home) | 1-1 | 1 Lyga |
| Jul 6, 2013 | FK Trakai(away) | 0-4 | 1 Lyga |
| Jul 2, 2013 | Polonija(home) | 3-2 | 1 Lyga |
| Jun 29, 2013 | Šilutė(away) | 3-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2013 | Palanga(home) | 7-0 | 1 Lyga |
| Aug 9, 2013 | Žalgirietis(away) | 3-3 | 1 Lyga |
| Aug 4, 2013 | Granitas Klaipėda(away) | 2-3 | 1 Lyga |
| Jul 8, 2013 | Šilas(away) | 0-2 | 1 Lyga |
| Jul 3, 2013 | Baltija(home) | 5-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Lokomotyvas Radviliškis wins, 0 draws, 1 Kauno Žalgiris win.
| Date | Score | Competition |
|---|---|---|
| May 26, 2013 | Kauno Žalgiris 3-2 Lokomotyvas Radviliškis | 1 Lyga |
Last archived meeting: Kauno Žalgiris vs Lokomotyvas Radviliškis on May 26, 2013
How many goals should we expect?
Lokomotyvas Radviliškis score 1.8 and concede 1.5 goals per match over their last 15; Kauno Žalgiris score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotyvas Radviliškis | 1.8 | 1.5 | 4 | 8/15 | 10/15 |
| Kauno Žalgiris | 2.5 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy