Match

Atlantas vs Palanga: result 1-1 and analysis

A LygaRegular Season - 5Kick-off on March 30, 2018 at 03:00 PM (UTC)Klaipėdos centrinio stadiono atsarginė aikštė, Klaipėda

Atlantas
1-1
Palanga

Full time

What was the result of Atlantas vs Palanga?

Atlantas and Palanga drew 1-1 on March 30, 2018.

Goalscorers

  • 9′Leandro da Silva IIPalanga (o.g.)
  • 21′Edvinas BaniulisAtlantas

Official lineup for Atlantas vs Palanga

The starting elevens fielded at kick-off.

Atlantas

  1. 45Edvinas Baniulis
  2. 89A. Koç
  1. 5Leandro da Silva II
  2. 9D. Kazlauskas
  3. 11D. Šimkus
  4. 17M. Kolyadko
  5. 18M. Panka
  6. 23J. Pejić
  7. 12P. Doroševs
  1. 20A. Levšin
  2. 44L. Artimavičius

Palanga

  1. 7Gvidas Juška
  2. 9S. Urbys
  3. 14Yven Moyo
  1. 20D. Norvilas
  2. 55Valentin Furdui
  1. 5R. Šveikauskas
  2. 23S. Urbys
  3. 28B. Goupy
  4. 37V. Kaborda
  5. 92W. Diouf
  1. 30Anton Tsvetkov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Atlantas have 4 wins, 5 draws and 6 defeats; Palanga have 8, 3 and 4.

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

Atlantas
DateOpponentScoreCompetition
Mar 14, 2018Stumbras(away)2-0A Lyga
Mar 7, 2018Kauno Žalgiris(home)0-1A Lyga
Mar 4, 2018Jonava(away)1-1A Lyga
Feb 24, 2018FK Trakai(away)1-0A Lyga
Nov 19, 2017Jonava(away)2-2A Lyga
Palanga
DateOpponentScoreCompetition
Mar 18, 2018FK Trakai(away)1-3A Lyga
Mar 13, 2018FK Trakai(home)1-1A Lyga
Mar 8, 2018FK Zalgiris Vilnius(away)0-4A Lyga
Mar 3, 2018Suduva Marijampole(away)0-2A Lyga
Feb 25, 2018Jonava(home)1-1A Lyga

How many goals should we expect?

Atlantas score 1.1 and concede 1.3 goals per match over their last 15; Palanga score 2.2 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Atlantas1.11.338/157/15
Palanga2.21.7012/1512/15

Over the last 15 matches in all competitions.

A question about Atlantas vs Palanga?

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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