Match

Jonava vs Panevėžys: result 0-3 and analysis

Cup8th FinalsKick-off on July 14, 2020 at 03:00 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava

Jonava
0-3
Panevėžys

Full time

What was the result of Jonava vs Panevėžys?

Panevėžys won 0-3 on July 14, 2020.

Goalscorers

  • 26′Jorge EliasPanevėžys
  • 58′Jorge EliasPanevėžys
  • 90′E. AbramavičiusPanevėžys

Official lineup for Jonava vs Panevėžys

The starting elevens fielded at kick-off.

Jonava

  1. LLaurynas Stonkus
  2. PP. Osauskas
  1. TT. Eliošius
  2. AA. Rocys
  3. JJonas Ulberkis
  4. GGytis Vasylius
  5. MMaksimas Kosovas
  1. BBenas Spietinis
  2. MM. Voronko
  3. DD. Raudonius
  1. MM. Matuzas

Panevėžys

  1. JJorge Elias
  2. SSebastián Vásquez Gamboa
  3. II. Kružikas
  1. PPaulius Janušauskas
  2. TT. Eliošius
  3. KK. Amemiya
  1. BBruno Fandinho Franzo
  2. MMatheus Bissi
  3. RRafael Floro
  4. JJ. Januševskij
  1. RRafael Broetto
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Jonava have 7 wins, 3 draws and 5 defeats; Panevėžys have 4, 2 and 9.

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

Jonava
DateOpponentScoreCompetition
Jul 10, 2020Vilniaus Vytis(home)0-01 Lyga
Jul 3, 2020Dainava(away)1-01 Lyga
Jun 30, 2020Radviliškis(away)5-1Cup
Jun 26, 2020Nevėžis(home)1-01 Lyga
Jun 19, 2020Šiauliai(away)1-01 Lyga
Panevėžys
DateOpponentScoreCompetition
Jul 11, 2020FK Trakai(home)2-1A Lyga
Jul 3, 2020Kauno Žalgiris(home)0-2A Lyga
Jun 28, 2020Banga(home)2-1A Lyga
Jun 24, 2020Suduva Marijampole(away)0-3A Lyga
Jun 19, 2020FK Trakai(away)1-1A Lyga

How many goals should we expect?

Jonava score 1.9 and concede 1.3 goals per match over their last 15; Panevėžys score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jonava1.91.3510/158/15
Panevėžys1.02.018/158/15

Over the last 15 matches in all competitions.

A question about Jonava vs Panevėžys?

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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