Match

Vitré vs Guingamp II: result 0-1 and analysis

National 2 - Group BGroup B - 12Kick-off on November 23, 2019 at 05:00 PM (UTC)Stade Municipal de Vitré, Vitré

Vitré
0-1
Guingamp II

Full time

What was the result of Vitré vs Guingamp II?

Guingamp II won 0-1 on November 23, 2019.

Goalscorers

  • 85′A. UrieGuingamp II

Official lineup for Vitré vs Guingamp II

The starting elevens fielded at kick-off.

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

Guingamp II

  1. 9S. Anne
  2. 10M. Gueddar
  3. 11A. Urie
  1. 5B. Ngwabije
  2. 6M. Gadji
  3. 7J. Leborgne
  4. 8T. Le Normand
  1. 2B. Etcheverria
  2. 3Steven Ako
  3. 4B. Roux
  1. 1H. Barbet
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Vitré have 3 wins, 7 draws and 5 defeats; Guingamp II have 2, 2 and 7.

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

Vitré
DateOpponentScoreCompetition
Nov 9, 2019Gobelins(away)0-0National 2 - Group B
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
Guingamp II
DateOpponentScoreCompetition
Nov 9, 2019Fleury 91(away)0-2National 2 - Group B
Nov 2, 2019Rouen(home)1-2National 2 - Group B
Oct 19, 2019Saint-Malo(away)1-1National 2 - Group B
Oct 5, 2019Angers SCO II(home)1-2National 2 - Group B
Sep 21, 2019Granville(away)1-2National 2 - Group B

How many goals should we expect?

Vitré score 0.9 and concede 1.3 goals per match over their last 15; Guingamp II score 0.9 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vitré0.91.348/155/15
Guingamp II0.91.617/116/11

Over the last 15 matches in all competitions.

A question about Vitré vs Guingamp II?

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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