Nevėžis vs Palanga: result 2-1 and analysis
1 LygaRegular Season - 5Kick-off on May 11, 2013 at 02:00 PM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs Palanga?
Nevėžis won 2-1 on May 11, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 12 wins, 3 draws and 0 defeats; Palanga have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2013 | Lokomotyvas Radviliškis(home) | 1-0 | 1 Lyga |
| Apr 26, 2013 | Žalgirietis(away) | 2-0 | 1 Lyga |
| Apr 20, 2013 | Granitas Klaipėda(home) | 0-0 | 1 Lyga |
| Apr 13, 2013 | Šilas(home) | 4-1 | 1 Lyga |
| Oct 27, 2012 | FK Trakai(home) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | FK Trakai(home) | 1-5 | 1 Lyga |
| Apr 27, 2013 | Polonija(away) | 2-2 | 1 Lyga |
| Apr 14, 2013 | Baltija(away) | 3-6 | 1 Lyga |
| Oct 27, 2012 | Kedainiai(home) | 3-0 | 1 Lyga |
| Oct 20, 2012 | Venta(away) | 0-3 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Nevėžis wins, 1 draw, 0 Palanga wins.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2012 | Nevėžis 1-1 Palanga | 1 Lyga |
| Jun 30, 2012 | Palanga 1-4 Nevėžis | 1 Lyga |
| Apr 28, 2012 | Nevėžis 1-0 Palanga | 1 Lyga |
How many goals should we expect?
Nevėžis score 2.3 and concede 0.2 goals per match over their last 15; Palanga score 1.6 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 2.3 | 0.2 | 12 | 3/15 | 5/15 |
| Palanga | 1.6 | 2.5 | 3 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Nevėžis | 30 | 7 | 5 | 18 | 32 | 58 | 26 |
A question about Nevėžis 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