FK Zalgiris Vilnius vs Granitas Klaipėda: result 1-1 and analysis
A LygaRegular Season - 8Kick-off on April 15, 2014 at 04:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of FK Zalgiris Vilnius vs Granitas Klaipėda?
FK Zalgiris Vilnius and Granitas Klaipėda drew 1-1 on April 15, 2014.
Goalscorers
- 30′E. VeliulisGranitas Klaipėda
- 42′Jakub WilkFK Zalgiris Vilnius
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Zalgiris Vilnius have 8 wins, 6 draws and 1 defeat; Granitas Klaipėda have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2014 | Dainava(away) | 8-0 | A Lyga |
| Apr 4, 2014 | Kruoja(home) | 2-0 | A Lyga |
| Mar 29, 2014 | Ekranas(away) | 0-0 | A Lyga |
| Mar 25, 2014 | Atlantas(home) | 4-0 | A Lyga |
| Mar 21, 2014 | FK Trakai(away) | 1-1 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2014 | Banga(home) | 1-0 | A Lyga |
| Apr 6, 2014 | Šiauliai(away) | 0-1 | A Lyga |
| Mar 30, 2014 | Dainava(away) | 5-0 | A Lyga |
| Mar 26, 2014 | Kruoja(home) | 2-2 | A Lyga |
| Mar 22, 2014 | Ekranas(away) | 1-1 | A Lyga |
How many goals should we expect?
FK Zalgiris Vilnius score 2.5 and concede 0.7 goals per match over their last 15; Granitas Klaipėda score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Zalgiris Vilnius | 2.5 | 0.7 | 8 | 7/15 | 8/15 |
| Granitas Klaipėda | 2.2 | 1.5 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | FK Zalgiris Vilnius | 31 | 15 | 6 | 10 | 49 | 35 | 51 |
A question about FK Zalgiris Vilnius vs Granitas Klaipėda?
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