Žalgirietis vs Jonava: result 3-2 and analysis
1 LygaRegular Season - 3Kick-off on April 27, 2014 at 11:00 AM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgirietis vs Jonava?
Žalgirietis won 3-2 on April 27, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgirietis have 9 wins, 2 draws and 4 defeats; Jonava have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2014 | Lokomotyvas Radviliškis(home) | 2-3 | 1 Lyga |
| Apr 13, 2014 | Utenis Utena(home) | 2-1 | 1 Lyga |
| Oct 27, 2013 | Polonija(home) | 3-0 | 1 Lyga |
| Oct 19, 2013 | Lokomotyvas Radviliškis(away) | 6-0 | 1 Lyga |
| Oct 13, 2013 | Palanga(home) | 9-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2014 | Šilutė(home) | 0-0 | 1 Lyga |
| Oct 27, 2013 | Granitas Klaipėda(away) | 2-7 | 1 Lyga |
| Oct 19, 2013 | Šilas(home) | 1-2 | 1 Lyga |
| Oct 12, 2013 | Nevėžis(away) | 1-3 | 1 Lyga |
| Oct 6, 2013 | Kauno Žalgiris(home) | 1-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Žalgirietis win, 0 draws, 1 Jonava win.
| Date | Score | Competition |
|---|---|---|
| Aug 3, 2013 | Žalgirietis 0-4 Jonava | 1 Lyga |
| Jun 19, 2013 | Jonava 2-3 Žalgirietis | 1 Lyga |
How many goals should we expect?
Žalgirietis score 3.1 and concede 1.2 goals per match over their last 15; Jonava score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgirietis | 3.1 | 1.2 | 6 | 8/15 | 13/15 |
| Jonava | 1.5 | 1.6 | 4 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Jonava | 26 | 7 | 6 | 13 | 28 | 35 | 27 |
A question about Žalgirietis 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