Match

Lokomotyvas Radviliškis vs Šilutė: result 1-3 and analysis

1 LygaRegular Season - 34Kick-off on October 31, 2015 at 11:00 AM (UTC)Radviliškio miesto centrinis stadionas, Radviliškis

Lokomotyvas Radviliškis
1-3
Šilutė

Full time

What was the result of Lokomotyvas Radviliškis vs Šilutė?

Šilutė won 1-3 on October 31, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lokomotyvas Radviliškis have 7 wins, 1 draw and 7 defeats; Šilutė have 6, 0 and 9.

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

Lokomotyvas Radviliškis
DateOpponentScoreCompetition
Oct 25, 2015Kaunas(away)4-11 Lyga
Oct 21, 2015Žalgiris II(away)1-41 Lyga
Oct 11, 2015Banga(home)2-81 Lyga
Oct 3, 2015Nevėžis(away)2-41 Lyga
Sep 26, 2015Džiugas Telšiai(home)0-01 Lyga
Šilutė
DateOpponentScoreCompetition
Oct 24, 2015Džiugas Telšiai(home)0-21 Lyga
Oct 18, 2015Šilas(away)3-61 Lyga
Oct 6, 2015MRU(away)0-31 Lyga
Oct 3, 2015Tauras(away)8-21 Lyga
Sep 26, 2015Minija(home)2-01 Lyga

What does the head-to-head say?

Across the last 6 meetings: 2 Lokomotyvas Radviliškis wins, 1 draw, 3 Šilutė wins.

DateScoreCompetition
Jul 3, 2015Šilutė 3-1 Lokomotyvas Radviliškis1 Lyga
Sep 20, 2014Šilutė 5-1 Lokomotyvas Radviliškis1 Lyga
Jun 24, 2014Šilutė 1-2 Lokomotyvas Radviliškis1 Lyga
Apr 12, 2014Lokomotyvas Radviliškis 0-1 Šilutė1 Lyga
Oct 12, 2013Šilutė 1-1 Lokomotyvas Radviliškis1 Lyga
Jun 29, 2013Šilutė 0-3 Lokomotyvas Radviliškis1 Lyga

Last archived meeting: Šilutė vs Lokomotyvas Radviliškis on Jul 3, 2015

How many goals should we expect?

Lokomotyvas Radviliškis score 1.8 and concede 2.1 goals per match over their last 15; Šilutė score 1.9 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lokomotyvas Radviliškis1.82.148/1511/15
Šilutė1.91.746/158/15

Over the last 15 matches in all competitions.

A question about Lokomotyvas Radviliškis vs Šilutė?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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