FK Trakai vs Lokomotyvas Radviliškis: result 4-0 and analysis
1 LygaRegular Season - 14Kick-off on July 6, 2013 at 03:00 PM (UTC)Trakų naujasis stadionas, Trakai
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What was the result of FK Trakai vs Lokomotyvas Radviliškis?
FK Trakai won 4-0 on July 6, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Trakai have 7 wins, 1 draw and 7 defeats; Lokomotyvas Radviliškis have 6, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2013 | Žalgirietis(home) | 0-1 | 1 Lyga |
| Jun 29, 2013 | Granitas Klaipėda(away) | 1-1 | 1 Lyga |
| Jun 22, 2013 | Šilas(home) | 1-2 | 1 Lyga |
| Jun 16, 2013 | Kauno Žalgiris(away) | 1-2 | 1 Lyga |
| Jun 9, 2013 | Jonava(home) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2013 | Polonija(home) | 3-2 | 1 Lyga |
| Jun 29, 2013 | Šilutė(away) | 3-0 | 1 Lyga |
| Jun 23, 2013 | Palanga(away) | 2-2 | 1 Lyga |
| Jun 16, 2013 | Baltija(away) | 2-1 | 1 Lyga |
| Jun 5, 2013 | Žalgirietis(home) | 2-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 FK Trakai win, 0 draws, 0 Lokomotyvas Radviliškis wins.
| Date | Score | Competition |
|---|---|---|
| Apr 27, 2013 | Lokomotyvas Radviliškis 0-2 FK Trakai | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs FK Trakai on Apr 27, 2013
How many goals should we expect?
FK Trakai score 1.5 and concede 1.0 goals per match over their last 15; Lokomotyvas Radviliškis score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Trakai | 1.5 | 1.0 | 5 | 7/15 | 7/15 |
| Lokomotyvas Radviliškis | 1.8 | 1.3 | 4 | 7/13 | 9/13 |
Over the last 15 matches in all competitions.
A question about FK Trakai vs Lokomotyvas Radviliškis?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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