Nevėžis vs Jonava: result 0-0 and analysis
1 LygaRegular Season - 17Kick-off on August 18, 2012 at 12:00 PM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs Jonava?
Nevėžis and Jonava drew 0-0 on August 18, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 8 wins, 2 draws and 5 defeats; Jonava have 10, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2012 | Kedainiai(away) | 6-1 | 1 Lyga |
| Aug 4, 2012 | Venta(away) | 0-3 | 1 Lyga |
| Jul 28, 2012 | Šilutė(home) | 0-1 | 1 Lyga |
| Jul 7, 2012 | Polonija(home) | 3-1 | 1 Lyga |
| Jun 30, 2012 | Palanga(away) | 4-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2012 | FK Trakai(home) | 2-0 | 1 Lyga |
| Aug 1, 2012 | Kedainiai(home) | 3-0 | 1 Lyga |
| Jun 30, 2012 | Šilutė(away) | 0-0 | 1 Lyga |
| Jun 23, 2012 | Venta(home) | 4-0 | 1 Lyga |
| Jun 16, 2012 | Palanga(home) | 4-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Nevėžis win, 0 draws, 0 Jonava wins.
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2012 | Jonava 1-2 Nevėžis | 1 Lyga |
How many goals should we expect?
Nevėžis score 2.3 and concede 1.2 goals per match over their last 15; Jonava score 2.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 2.3 | 1.2 | 4 | 9/15 | 12/15 |
| Jonava | 2.5 | 0.7 | 8 | 6/14 | 9/14 |
Over the last 15 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 Nevėžis vs Jonava?
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