Šilutė vs Granitas: result 0-2 and analysis
1 LygaRegular Season - 24Kick-off on October 6, 2012 at 12:00 PM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Granitas?
Granitas won 0-2 on October 6, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 4 wins, 4 draws and 7 defeats; Granitas have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2012 | Nevėžis(away) | 1-3 | 1 Lyga |
| Sep 22, 2012 | FK Trakai(home) | 2-2 | 1 Lyga |
| Sep 15, 2012 | Jonava(away) | 0-2 | 1 Lyga |
| Sep 8, 2012 | Kedainiai(home) | 11-0 | 1 Lyga |
| Sep 1, 2012 | Venta(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2012 | Polonija(home) | 3-1 | 1 Lyga |
| Sep 22, 2012 | Palanga(away) | 3-0 | 1 Lyga |
| Sep 15, 2012 | NFA Kaunas(away) | 4-2 | 1 Lyga |
| Sep 9, 2012 | Nevėžis(home) | 0-1 | 1 Lyga |
| Sep 1, 2012 | FK Trakai(away) | 2-3 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Šilutė wins, 1 draw, 1 Granitas win.
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2012 | Šilutė 0-2 Granitas | 1 Lyga |
| Jun 27, 2012 | Granitas 0-0 Šilutė | 1 Lyga |
How many goals should we expect?
Šilutė score 1.6 and concede 1.3 goals per match over their last 15; Granitas score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 1.6 | 1.3 | 6 | 6/15 | 7/15 |
| Granitas | 1.9 | 1.1 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Šilutė vs Granitas?
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