Venta vs Palanga: result 3-0 and analysis
1 LygaRegular Season - 26Kick-off on October 20, 2012 at 11:00 AM (UTC)Daugeliu stadionas
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What was the result of Venta vs Palanga?
Venta won 3-0 on October 20, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Venta have 4 wins, 1 draw and 10 defeats; Palanga have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2012 | Granitas(away) | 1-3 | 1 Lyga |
| Oct 6, 2012 | Nevėžis(home) | 0-1 | 1 Lyga |
| Sep 29, 2012 | FK Trakai(away) | 1-4 | 1 Lyga |
| Sep 22, 2012 | Jonava(home) | 0-3 | 1 Lyga |
| Sep 16, 2012 | Kedainiai(away) | 3-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2012 | Šilutė(home) | 1-1 | 1 Lyga |
| Oct 6, 2012 | Polonija(away) | 0-5 | 1 Lyga |
| Oct 3, 2012 | NFA Kaunas(away) | 1-5 | 1 Lyga |
| Sep 22, 2012 | Granitas(home) | 0-3 | 1 Lyga |
| Sep 15, 2012 | Nevėžis(away) | 1-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Venta wins, 0 draws, 2 Palanga wins.
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2012 | Palanga 3-2 Venta | 1 Lyga |
| Jun 2, 2012 | Venta 0-1 Palanga | 1 Lyga |
How many goals should we expect?
Venta score 1.6 and concede 2.2 goals per match over their last 15; Palanga score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Venta | 1.6 | 2.2 | 2 | 8/15 | 12/15 |
| Palanga | 1.3 | 2.3 | 2 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Venta vs Palanga?
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