Match

Žalgiris II vs Jonava: result 3-2 and analysis

1 LygaRegular Season - 24Kick-off on September 16, 2019 at 02:00 PM (UTC)Vilniaus LFF stadionas, Vilnius

Žalgiris II
3-2
Jonava

Full time

What was the result of Žalgiris II vs Jonava?

Žalgiris II won 3-2 on September 16, 2019.

Goalscorers

  • 22′?Žalgiris II
  • 45′?Jonava
  • 59′?Žalgiris II
  • 79′?Jonava
  • 80′?Žalgiris II

What is the recent form of both teams?

Over their last 15 matches in all competitions, Žalgiris II have 3 wins, 2 draws and 10 defeats; Jonava have 8, 1 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Žalgiris II
DateOpponentScoreCompetition
Sep 1, 2019Atmosfera(home)2-21 Lyga
Aug 24, 2019Banga(home)0-31 Lyga
Aug 17, 2019Šiauliai(home)1-41 Lyga
Aug 13, 2019Trakai II(away)3-31 Lyga
Aug 9, 2019Kupiškis(away)0-21 Lyga
Jonava
DateOpponentScoreCompetition
Sep 8, 2019Pakruojis(home)7-11 Lyga
Aug 31, 2019Minija(home)4-11 Lyga
Aug 23, 2019Šiauliai(away)1-31 Lyga
Aug 10, 2019Džiugas Telšiai(home)1-21 Lyga
Aug 4, 2019BFA(home)0-31 Lyga

What does the head-to-head say?

Across the last 3 meetings: 0 Žalgiris II wins, 0 draws, 3 Jonava wins.

DateScoreCompetition
May 20, 2019Jonava 6-0 Žalgiris II1 Lyga
Aug 15, 2015Jonava 3-1 Žalgiris II1 Lyga
May 3, 2015Žalgiris II 1-2 Jonava1 Lyga

Last archived meeting: Jonava vs Žalgiris II on May 20, 2019

How many goals should we expect?

Žalgiris II score 1.3 and concede 2.9 goals per match over their last 15; Jonava score 2.4 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Žalgiris II1.32.918/1512/15
Jonava2.41.9310/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Žalgiris II sit 4th in 1 Lyga (46 points from 26 matches) and Jonava sit 10th (27 points from 26 matches).

2026 standings
#ClubPWDLGFGAPts
4Žalgiris II261448403346
10Jonava267613283527

A question about Žalgiris II 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

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