Granitas Klaipėda vs Šilas: result 2-0 and analysis
1 LygaRegular Season - 16Kick-off on August 11, 2013 at 01:00 PM (UTC)Klaipėdos m. centrinis stadionas, Klaipėda
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What was the result of Granitas Klaipėda vs Šilas?
Granitas Klaipėda won 2-0 on August 11, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Granitas Klaipėda have 10 wins, 5 draws and 0 defeats; Šilas have 7, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2013 | Kauno Žalgiris(home) | 3-2 | 1 Lyga |
| Jul 6, 2013 | Jonava(home) | 0-0 | 1 Lyga |
| Jul 2, 2013 | Nevėžis(home) | 3-2 | 1 Lyga |
| Jun 29, 2013 | FK Trakai(home) | 1-1 | 1 Lyga |
| Jun 23, 2013 | Polonija(home) | 8-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2013 | Baltija(home) | 4-2 | 1 Lyga |
| Jul 8, 2013 | Kauno Žalgiris(home) | 2-0 | 1 Lyga |
| Jun 28, 2013 | Nevėžis(home) | 0-0 | 1 Lyga |
| Jun 22, 2013 | FK Trakai(away) | 2-1 | 1 Lyga |
| Jun 16, 2013 | Polonija(home) | 4-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Granitas Klaipėda wins, 1 draw, 0 Šilas wins.
| Date | Score | Competition |
|---|---|---|
| May 11, 2013 | Šilas 1-1 Granitas Klaipėda | 1 Lyga |
Last archived meeting: Šilas vs Granitas Klaipėda on May 11, 2013
How many goals should we expect?
Granitas Klaipėda score 2.1 and concede 0.9 goals per match over their last 15; Šilas score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Granitas Klaipėda | 2.1 | 0.9 | 5 | 10/15 | 7/15 |
| Šilas | 1.5 | 1.1 | 6 | 7/14 | 7/14 |
Over the last 15 matches in all competitions.
A question about Granitas Klaipėda vs Šilas?
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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