Match

Jonava vs Lokomotyvas Radviliškis: result 2-1 and analysis

1 LygaRegular Season - 22Kick-off on August 12, 2015 at 03:30 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava

Jonava
2-1
Lokomotyvas Radviliškis

Full time

What was the result of Jonava vs Lokomotyvas Radviliškis?

Jonava won 2-1 on August 12, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Jonava have 11 wins, 3 draws and 1 defeat; Lokomotyvas Radviliškis have 7, 1 and 7.

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

Jonava
DateOpponentScoreCompetition
Aug 8, 2015Nevėžis(home)7-01 Lyga
Aug 2, 2015Kaunas(home)5-01 Lyga
Jul 28, 2015MRU(home)4-11 Lyga
Jul 6, 2015Kražantė(away)5-11 Lyga
Jul 1, 2015Džiugas Telšiai(away)4-21 Lyga
Lokomotyvas Radviliškis
DateOpponentScoreCompetition
Aug 8, 2015MRU(home)3-11 Lyga
Aug 1, 2015Tauras(home)0-11 Lyga
Jul 28, 2015Kruoja II(away)3-01 Lyga
Jul 6, 2015Palanga(away)3-01 Lyga
Jul 3, 2015Šilutė(away)1-31 Lyga

What does the head-to-head say?

Across the last 5 meetings: 3 Jonava wins, 0 draws, 2 Lokomotyvas Radviliškis wins.

DateScoreCompetition
Apr 25, 2015Lokomotyvas Radviliškis 1-4 Jonava1 Lyga
Jul 6, 2014Jonava 6-2 Lokomotyvas Radviliškis1 Lyga
May 3, 2014Lokomotyvas Radviliškis 0-1 Jonava1 Lyga
Aug 9, 2013Jonava 0-2 Lokomotyvas Radviliškis1 Lyga
May 11, 2013Lokomotyvas Radviliškis 2-1 Jonava1 Lyga

Last archived meeting: Lokomotyvas Radviliškis vs Jonava on Apr 25, 2015

How many goals should we expect?

Jonava score 3.7 and concede 0.6 goals per match over their last 15; Lokomotyvas Radviliškis score 1.9 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jonava3.70.677/1511/15
Lokomotyvas Radviliškis1.91.766/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
10Jonava278613313530

A question about Jonava vs Lokomotyvas Radviliškis?

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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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