Match

Žalgiris II vs Lokomotyvas Radviliškis: result 5-2 and analysis

1 LygaRegular Season - 12Kick-off on June 8, 2016 at 05:30 PM (UTC)Vilniaus LFF stadionas, Vilnius

Žalgiris II
5-2
Lokomotyvas Radviliškis

Full time

What was the result of Žalgiris II vs Lokomotyvas Radviliškis?

Žalgiris II won 5-2 on June 8, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Žalgiris II have 11 wins, 1 draw and 3 defeats; Lokomotyvas Radviliškis have 2, 4 and 9.

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

Žalgiris II
DateOpponentScoreCompetition
May 27, 2016Panevėžys(away)1-01 Lyga
May 20, 2016Hegelmann Litauen(home)3-11 Lyga
May 14, 2016Džiugas Telšiai(home)2-11 Lyga
May 7, 2016Nevėžis(home)4-51 Lyga
May 1, 2016Minija(away)3-01 Lyga
Lokomotyvas Radviliškis
DateOpponentScoreCompetition
Jun 3, 2016Kražantė(home)3-31 Lyga
May 28, 2016Dainava(home)1-41 Lyga
May 14, 2016Hegelmann Litauen(home)2-21 Lyga
May 10, 2016Kaunas(away)0-21 Lyga
Apr 30, 2016Panevėžys(home)0-01 Lyga

What does the head-to-head say?

Across the last 2 meetings: 2 Žalgiris II wins, 0 draws, 0 Lokomotyvas Radviliškis wins.

DateScoreCompetition
Oct 21, 2015Žalgiris II 4-1 Lokomotyvas Radviliškis1 Lyga
Jun 24, 2015Lokomotyvas Radviliškis 0-5 Žalgiris II1 Lyga

Last archived meeting: Žalgiris II vs Lokomotyvas Radviliškis on Oct 21, 2015

How many goals should we expect?

Žalgiris II score 3.3 and concede 1.3 goals per match over their last 15; Lokomotyvas Radviliškis score 1.3 and concede 2.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Žalgiris II3.31.369/1511/15
Lokomotyvas Radviliškis1.32.9111/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
4Žalgiris II291559463850

A question about Žalgiris II vs Lokomotyvas Radviliškis?

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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