Match

Gobelins vs Vitré: result 0-0 and analysis

National 2 - Group BGroup B - 11Kick-off on November 9, 2019 at 05:30 PM (UTC)Stade Pelé, Paris

Gobelins
0-0
Vitré

Full time

What was the result of Gobelins vs Vitré?

Gobelins and Vitré drew 0-0 on November 9, 2019.

Official lineup for Gobelins vs Vitré

The starting elevens fielded at kick-off.

Gobelins

  1. 9João Carlos Sacramento Ramos
  2. 11I. Bamba
  3. 14H. Keita
  1. 3S. Fofana
  2. 6M. Diarra
  3. 8Wilson Lopes
  4. 10Otman Djellilahine
  1. 2K. Badeau
  2. 4J. Kaloukadilandi
  3. 5A. Paye
  1. 1Kévin Mokando

Vitré

  1. 8G. Le Gall
  2. 9W. Gros
  1. 2V. Guilbault
  2. 4Junior Emeric Assoumou Akué
  3. 6K. Amourette
  4. 7E. Sorin
  5. 10Quentin Rouger
  6. 11A. Zakharyan
  1. 3C. Rocu
  2. 5W. Barru
  1. 1K. Aubeneau
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Gobelins have 4 wins, 2 draws and 4 defeats; Vitré have 4, 6 and 5.

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

Gobelins
DateOpponentScoreCompetition
Nov 2, 2019Lorient II(away)1-1National 2 - Group B
Oct 19, 2019Oissel(home)2-1National 2 - Group B
Oct 5, 2019Entente S St Gratien(away)2-2National 2 - Group B
Sep 21, 2019Stade Briochin(home)4-0National 2 - Group B
Sep 14, 2019Poissy(away)2-0National 2 - Group B
Vitré
DateOpponentScoreCompetition
Nov 2, 2019Fleury 91(home)3-2National 2 - Group B
Oct 19, 2019Lorient II(away)2-2National 2 - Group B
Oct 5, 2019Rouen(home)0-1National 2 - Group B
Sep 21, 2019Oissel(away)1-1National 2 - Group B
Sep 14, 2019Saint-Malo(home)0-2National 2 - Group B

How many goals should we expect?

Gobelins score 1.8 and concede 1.4 goals per match over their last 10; Vitré score 1.1 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gobelins1.81.437/107/10
Vitré1.11.539/156/15

Over the last 10 matches in all competitions.

A question about Gobelins vs Vitré?

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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