Match

Istres vs Cannes: result 1-0 and analysis

National 3 - Group DGroup D - 12Kick-off on December 14, 2019 at 03:00 PM (UTC)Stade Parsemain, Fos-sur-Mer

Istres
1-0
Cannes

Full time

What was the result of Istres vs Cannes?

Istres won 1-0 on December 14, 2019.

Goalscorers

  • 63′K. DiazIstres

Official lineup for Istres vs Cannes

The starting elevens fielded at kick-off.

Istres

  1. 7D. Gigliotti
  2. 9Jérémy Bru
  1. 8Y. Aked Daoud
  2. 10E. Niang
  3. 11K. Diaz
  4. 1E. Mifsud
  5. 2O. Kalk
  1. 3F. Khatir
  2. 4R. Saez
  3. 5T. Bizzou
  4. 6M. Ouattara

Cannes

  1. 2R. Chauvet
  2. 9Geoffrey Malfleury
  3. 11F. Dja Djedjé
  1. 6G. Denis
  2. 7J. Orsattoni
  3. 8Julien Delétraz
  4. 10M. Sellouki
  1. 3Miguel Gonçalves Melim
  2. 4A. Gwapdoum Sagoua
  3. 5Larry Adeduji
  1. 1P. Portets
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Istres have 9 wins, 2 draws and 4 defeats; Cannes have 4, 6 and 5.

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

Istres
DateOpponentScoreCompetition
Nov 30, 2019Villefranche SJB(away)3-1National 3 - Group D
Nov 23, 2019Ardziv(home)4-1National 3 - Group D
Nov 9, 2019Nice II(home)1-0National 3 - Group D
Nov 2, 2019Côte Bleue(away)1-3National 3 - Group D
Oct 19, 2019Gémenos(home)2-1National 3 - Group D
Cannes
DateOpponentScoreCompetition
Dec 11, 2019Mandelieu LN(home)0-0National 3 - Group D
Nov 30, 2019Côte Bleue(home)0-0National 3 - Group D
Nov 23, 2019Gémenos(away)4-0National 3 - Group D
Nov 9, 2019Balagne(home)1-0National 3 - Group D
Nov 2, 2019Gallia Lucciana(away)1-2National 3 - Group D

How many goals should we expect?

Istres score 1.9 and concede 1.5 goals per match over their last 15; Cannes score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Istres1.91.5311/1511/15
Cannes1.10.975/156/15

Over the last 15 matches in all competitions.

A question about Istres vs Cannes?

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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