Match

Panevėžys II vs Neptūną Klaipėda: result 0-2 and analysis

1 LygaMatchday 3Kick-off on April 3, 2022 at 12:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys

Panevėžys II
0-2
Neptūną Klaipėda

Full time

What was the result of Panevėžys II vs Neptūną Klaipėda?

Neptūną Klaipėda won 0-2 on April 3, 2022.

Goalscorers

  • 35′?Neptūną Klaipėda
  • 41′?Neptūną Klaipėda

What is the recent form of both teams?

Over their last 15 matches in all competitions, Panevėžys II have 7 wins, 5 draws and 3 defeats; Neptūną Klaipėda have 6, 3 and 6.

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

Panevėžys II
DateOpponentScoreCompetition
Mar 27, 2022BFA(away)2-21 Lyga
Mar 21, 2022Minija(home)0-01 Lyga
Oct 24, 2021Sūduva II(home)1-01 Lyga
Oct 20, 2021Babrungas(home)1-21 Lyga
Oct 15, 2021Jonava(away)1-11 Lyga
Neptūną Klaipėda
DateOpponentScoreCompetition
Mar 27, 2022Banga II(away)5-01 Lyga
Mar 19, 2022Žalgiris II(away)1-01 Lyga
Oct 24, 2021Žalgiris II(away)3-11 Lyga
Oct 16, 2021Minija(home)7-11 Lyga
Oct 2, 2021Kauno Žalgiris II(away)0-31 Lyga

What does the head-to-head say?

Across the last 2 meetings: 1 Panevėžys II win, 0 draws, 1 Neptūną Klaipėda win.

DateScoreCompetition
Jul 6, 2021Neptūną Klaipėda 3-4 Panevėžys II1 Lyga
Mar 21, 2021Panevėžys II 0-5 Neptūną Klaipėda1 Lyga

Last archived meeting: Neptūną Klaipėda vs Panevėžys II on Jul 6, 2021

How many goals should we expect?

Panevėžys II score 2.0 and concede 1.7 goals per match over their last 15; Neptūną Klaipėda score 1.9 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Panevėžys II2.01.7311/1510/15
Neptūną Klaipėda1.91.647/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
8Neptūną Klaipėda3014313343845

A question about Panevėžys II vs Neptūną Klaipėda?

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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