Match

Panama vs Serbia: result 0-0 and analysis

FriendliesFriendlies 1Kick-off on January 29, 2021 at 12:00 AM (UTC)Estadio Rommel Fernández, Panama City

Panama
0-0
Serbia

Full time

What was the result of Panama vs Serbia?

Panama and Serbia drew 0-0 on January 29, 2021.

Official lineup for Panama vs Serbia

The starting elevens fielded at kick-off.

Panama

  1. 7C. Yanis
  2. 9J. Catuy
  3. 10I. Díaz
  4. 11J. Murillo
  1. 2F. Palacios
  2. 6V. Griffith
  3. 20M. Acosta
  1. 4R. Miller
  2. 14J. Ramos
  3. 17F. Vence
  1. 1L. Mejía

Serbia

  1. 9N. Lukić
  2. 11M. Vukadinović
  1. 6J. Nišić
  2. 7L. Tufegdžić
  3. 8M. Radin
  4. 10V. Birmančević
  1. 3S. Urošević
  2. 5M. Gajić
  3. 17A. Stojković
  4. 22A. Andrejević
  1. 12A. Popović
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Panama have 5 wins, 1 draw and 9 defeats; Serbia have 6, 6 and 3.

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

Panama
DateOpponentScoreCompetition
Nov 16, 2020USA(away)2-6Friendlies
Nov 13, 2020Japan(away)0-1Friendlies
Oct 14, 2020Costa Rica(away)1-0Friendlies
Oct 11, 2020Costa Rica(away)1-0Friendlies
Nov 16, 2019Mexico(home)0-3CONCACAF Nations League
Serbia
DateOpponentScoreCompetition
Jan 25, 2021Dominican Republic(away)0-0Friendlies
Nov 18, 2020Russia(home)5-0UEFA Nations League
Nov 15, 2020Hungary(away)1-1UEFA Nations League
Nov 12, 2020Scotland(home)1-1Euro Championship
Oct 14, 2020Türkiye(away)2-2UEFA Nations League

How many goals should we expect?

Panama score 1.1 and concede 1.8 goals per match over their last 15; Serbia score 1.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Panama1.11.835/157/15
Serbia1.71.3410/159/15

Over the last 15 matches in all competitions.

A question about Panama vs Serbia?

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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