Match

Rennes II vs Vitré: result 1-0 and analysis

National 2 - Group ARegular Season - 9Kick-off on October 29, 2016 at 02:00 PM (UTC)Stade de la Piverdière, Rennes

Rennes II
1-0
Vitré

Full time

What was the result of Rennes II vs Vitré?

Rennes II won 1-0 on October 29, 2016.

Goalscorers

  • 81′A. RibelinRennes II

Official lineup for Rennes II vs Vitré

The starting elevens fielded at kick-off.

Rennes II

  1. 10A. Yousfi
  1. 2A. Leroyer
  2. 6J. Gélin
  3. 8D. Poha
  4. 11J. Léa Siliki
  5. 4J. Gru
  1. 3Afonso Figueiredo
  2. 5N. Diallo
  3. 7E. Lenjani
  4. 9A. Ribelin
  1. 1E. Gertmonas

Vitré

  1. 7J. Lebacle
  1. 2V. Guilbault
  2. 6Briac Menoret
  3. 10Cédric Ruault
  4. 3K. Bandundi
  5. 8B. Zouhir
  6. 9A. Traoré
  1. 4W. Barru
  2. 5A. Sorin
  3. 11Marvin Joseph
  1. 1K. Aubeneau
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Rennes II have 4 wins, 2 draws and 2 defeats; Vitré have 6, 4 and 5.

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

Rennes II
DateOpponentScoreCompetition
Oct 15, 2016Vendée Fontenay(away)3-0National 2 - Group A
Oct 1, 2016Châteaubriant(away)3-0National 2 - Group A
Sep 21, 2016Romorantin(home)2-1National 2 - Group A
Sep 17, 2016Trélissac(home)2-2National 2 - Group A
Sep 10, 2016Stade Plabennec(away)3-1National 2 - Group A
Vitré
DateOpponentScoreCompetition
Oct 15, 2016Châteaubriant(home)1-0National 2 - Group A
Oct 1, 2016Trélissac(away)1-0National 2 - Group A
Sep 17, 2016Stade Plabennec(home)1-1National 2 - Group A
Sep 10, 2016Romorantin(away)2-1National 2 - Group A
Sep 3, 2016Cholet(home)1-1National 2 - Group A

How many goals should we expect?

Rennes II score 1.9 and concede 1.8 goals per match over their last 8; Vitré score 1.0 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rennes II1.91.825/86/8
Vitré1.00.948/156/15

Over the last 8 matches in all competitions.

A question about Rennes II vs Vitré?

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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