Match

Lokomotyvas Radviliškis vs Žalgiris II: result 4-1 and analysis

1 LygaRegular Season - 27Kick-off on October 2, 2016 at 11:00 AM (UTC)Radviliškio miesto centrinis stadionas, Radviliškis

Lokomotyvas Radviliškis
4-1
Žalgiris II

Full time

What was the result of Lokomotyvas Radviliškis vs Žalgiris II?

Lokomotyvas Radviliškis won 4-1 on October 2, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lokomotyvas Radviliškis have 3 wins, 0 draws and 12 defeats; Žalgiris II have 6, 2 and 7.

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

Lokomotyvas Radviliškis
DateOpponentScoreCompetition
Sep 25, 2016Kražantė(away)3-21 Lyga
Sep 17, 2016Dainava(away)0-11 Lyga
Sep 10, 2016Trakai II(home)3-21 Lyga
Sep 6, 2016Banga(home)0-21 Lyga
Sep 2, 2016Hegelmann Litauen(away)1-21 Lyga
Žalgiris II
DateOpponentScoreCompetition
Sep 27, 2016Vilniaus Vytis(home)1-61 Lyga
Sep 23, 2016Trakai II(home)0-21 Lyga
Sep 20, 2016Džiugas Telšiai(away)0-21 Lyga
Sep 17, 2016Panevėžys(home)2-21 Lyga
Sep 11, 2016Hegelmann Litauen(away)3-01 Lyga

What does the head-to-head say?

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

DateScoreCompetition
Jun 8, 2016Žalgiris II 5-2 Lokomotyvas Radviliškis1 Lyga
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 Jun 8, 2016

How many goals should we expect?

Lokomotyvas Radviliškis score 1.3 and concede 3.1 goals per match over their last 15; Žalgiris II score 1.8 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lokomotyvas Radviliškis1.33.109/1513/15
Žalgiris II1.82.148/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
4Žalgiris II301659483953

A question about Lokomotyvas Radviliškis vs Žalgiris II?

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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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