Šilas vs FK Trakai: result 0-1 and analysis
1 LygaRegular Season - 22Kick-off on September 21, 2013 at 11:00 AM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs FK Trakai?
FK Trakai won 0-1 on September 21, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 9 wins, 3 draws and 3 defeats; FK Trakai have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2013 | Jonava(away) | 3-3 | 1 Lyga |
| Sep 13, 2013 | Polonija(away) | 2-4 | 1 Lyga |
| Sep 7, 2013 | Šilutė(home) | 3-0 | 1 Lyga |
| Sep 4, 2013 | Lokomotyvas Radviliškis(home) | 4-1 | 1 Lyga |
| Aug 30, 2013 | Palanga(away) | 2-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2013 | Kauno Žalgiris(home) | 3-0 | 1 Lyga |
| Sep 7, 2013 | Jonava(away) | 1-1 | 1 Lyga |
| Aug 31, 2013 | Nevėžis(home) | 1-1 | 1 Lyga |
| Aug 24, 2013 | Polonija(away) | 4-1 | 1 Lyga |
| Aug 17, 2013 | Baltija(away) | 1-4 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Šilas win, 0 draws, 0 FK Trakai wins.
| Date | Score | Competition |
|---|---|---|
| Jun 22, 2013 | FK Trakai 1-2 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.1 and concede 1.1 goals per match over their last 15; FK Trakai score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.1 | 1.1 | 6 | 7/15 | 9/15 |
| FK Trakai | 1.5 | 1.1 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Šilas vs FK Trakai?
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