Jonava vs Palanga: result 4-0 and analysis
1 LygaRegular Season - 10Kick-off on June 16, 2012 at 01:00 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Palanga?
Jonava won 4-0 on June 16, 2012.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Jonava have 6 wins, 1 draw and 2 defeats; Palanga have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2012 | Granitas(home) | 1-2 | 1 Lyga |
| Jun 2, 2012 | Nevėžis(home) | 1-2 | 1 Lyga |
| May 26, 2012 | FK Trakai(away) | 1-0 | 1 Lyga |
| May 19, 2012 | NFA Kaunas(away) | 3-0 | 1 Lyga |
| May 12, 2012 | Kedainiai(away) | 7-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2012 | Kedainiai(home) | 5-2 | 1 Lyga |
| Jun 2, 2012 | Venta(away) | 1-0 | 1 Lyga |
| May 26, 2012 | Šilutė(away) | 2-2 | 1 Lyga |
| May 19, 2012 | Polonija(home) | 1-2 | 1 Lyga |
| May 12, 2012 | NFA Kaunas(away) | 3-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Jonava win, 0 draws, 0 Palanga wins.
| Date | Score | Competition |
|---|---|---|
| May 1, 2012 | Palanga 2-4 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 2.4 and concede 1.1 goals per match over their last 9; Palanga score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 2.4 | 1.1 | 3 | 6/9 | 6/9 |
| Palanga | 1.7 | 1.4 | 3 | 5/9 | 5/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Jonava | 26 | 7 | 6 | 13 | 28 | 35 | 27 |
A question about Jonava 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