FK Zalgiris Vilnius vs Jonava: result 2-2 and analysis
A LygaRegular Season - 5Kick-off on April 2, 2016 at 12:00 PM (UTC)S. Dariaus ir S. Girėno stadionas, Kaunas
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What was the result of FK Zalgiris Vilnius vs Jonava?
FK Zalgiris Vilnius and Jonava drew 2-2 on April 2, 2016.
Goalscorers
- 2′D. GalkevičiusJonava (pen.)
- 12′T. SalamanavičiusJonava
- 65′M. ŽaliūkasFK Zalgiris Vilnius
- 88′M. MbodjFK Zalgiris Vilnius
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Zalgiris Vilnius have 14 wins, 0 draws and 1 defeat; Jonava have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2016 | Utenis Utena(away) | 1-0 | A Lyga |
| Mar 16, 2016 | Suduva Marijampole(home) | 3-2 | A Lyga |
| Mar 12, 2016 | Stumbras(away) | 6-3 | A Lyga |
| Mar 2, 2016 | FK Trakai(home) | 2-0 | A Lyga |
| Nov 28, 2015 | FK Trakai(home) | 3-0 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2016 | Atlantas(home) | 0-1 | A Lyga |
| Mar 17, 2016 | Kauno Žalgiris(home) | 2-2 | A Lyga |
| Mar 13, 2016 | Utenis Utena(away) | 1-0 | A Lyga |
| Mar 6, 2016 | Suduva Marijampole(home) | 1-1 | A Lyga |
| Oct 31, 2015 | Džiugas Telšiai(home) | 2-0 | 1 Lyga |
How many goals should we expect?
FK Zalgiris Vilnius score 2.9 and concede 0.9 goals per match over their last 15; Jonava score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Zalgiris Vilnius | 2.9 | 0.9 | 8 | 7/15 | 10/15 |
| Jonava | 2.3 | 0.7 | 7 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | FK Zalgiris Vilnius | 29 | 14 | 5 | 10 | 45 | 34 | 47 |
A question about FK Zalgiris Vilnius vs Jonava?
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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