Banga vs Granitas Klaipėda: result 0-0 and analysis
A LygaRegular Season - 16Kick-off on June 11, 2014 at 06:00 PM (UTC)Gargždų miesto stadionas, Gargždai
Full time
What was the result of Banga vs Granitas Klaipėda?
Banga and Granitas Klaipėda drew 0-0 on June 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 6 wins, 4 draws and 5 defeats; Granitas Klaipėda have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2014 | Dainava(away) | 0-2 | A Lyga |
| May 21, 2014 | Kruoja(away) | 1-0 | A Lyga |
| May 10, 2014 | Ekranas(away) | 0-0 | A Lyga |
| May 7, 2014 | Atlantas(home) | 0-2 | A Lyga |
| May 4, 2014 | FK Trakai(away) | 2-2 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2014 | Šiauliai(home) | 3-0 | A Lyga |
| May 22, 2014 | Dainava(home) | 2-0 | A Lyga |
| May 11, 2014 | Kruoja(away) | 2-2 | A Lyga |
| May 6, 2014 | Ekranas(home) | 1-3 | A Lyga |
| May 3, 2014 | Atlantas(away) | 0-2 | A Lyga |
What does the head-to-head say?
In the last meeting: 0 Banga wins, 0 draws, 1 Granitas Klaipėda win.
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2014 | Granitas Klaipėda 1-0 Banga | A Lyga |
Last archived meeting: Granitas Klaipėda vs Banga on Apr 12, 2014
How many goals should we expect?
Banga score 1.0 and concede 0.7 goals per match over their last 15; Granitas Klaipėda score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 1.0 | 0.7 | 8 | 3/15 | 4/15 |
| Granitas Klaipėda | 1.3 | 1.2 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Banga | 31 | 11 | 9 | 11 | 34 | 32 | 42 |
A question about Banga vs Granitas Klaipėda?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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