Vilnius vs Banga: result 0-3 and analysis
A LygaRegular Season - 30Kick-off on September 23, 2012 at 03:00 PM (UTC)Zalgirio stadionas
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What was the result of Vilnius vs Banga?
Banga won 0-3 on September 23, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vilnius have 1 win, 1 draw and 13 defeats; Banga have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2012 | Ekranas(away) | 0-3 | A Lyga |
| Sep 15, 2012 | Dainava(home) | 0-3 | A Lyga |
| Aug 31, 2012 | Suduva Marijampole(away) | 0-3 | A Lyga |
| Aug 26, 2012 | FK Zalgiris Vilnius(home) | 0-3 | A Lyga |
| Aug 21, 2012 | Kruoja(away) | 0-3 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2012 | Dainava(home) | 5-0 | A Lyga |
| Sep 14, 2012 | FK Zalgiris Vilnius(away) | 0-2 | A Lyga |
| Sep 1, 2012 | Šiauliai(away) | 1-0 | A Lyga |
| Aug 26, 2012 | Tauras(home) | 4-0 | A Lyga |
| Aug 17, 2012 | Suduva Marijampole(home) | 0-0 | A Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Vilnius win, 1 draw, 1 Banga win.
| Date | Score | Competition |
|---|---|---|
| Jul 27, 2012 | Banga 2-1 Vilnius | A Lyga |
| May 11, 2012 | Vilnius 1-0 Banga | A Lyga |
| Mar 25, 2012 | Banga 2-2 Vilnius | A Lyga |
How many goals should we expect?
Vilnius score 0.7 and concede 2.7 goals per match over their last 15; Banga score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vilnius | 0.7 | 2.7 | 1 | 5/15 | 11/15 |
| Banga | 1.5 | 0.8 | 8 | 5/15 | 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 | 28 | 11 | 8 | 9 | 32 | 28 | 41 |
A question about Vilnius vs Banga?
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