Match

PAU vs Cholet: result 1-4 and analysis

Ligue 3Regular Season - 3Kick-off on August 17, 2017 at 05:00 PM (UTC)Stade Nouste Camp, Bizanos

PAU
1-4
Cholet

Full time

What was the result of PAU vs Cholet?

Cholet won 1-4 on August 17, 2017.

Goalscorers

  • 13′P. SarrCholet
  • 22′P. SarrCholet
  • 39′A. BoupendzaPAU
  • 53′N. BaouiaCholet
  • 68′Abdelilah AabizaCholet (pen.)

Official lineup for PAU vs Cholet

The starting elevens fielded at kick-off.

PAU

  1. 9A. Boupendza
  2. 11J. Rivas
  3. 19M. Guilavogui
  1. 7Abdelkader Kraichi
  2. 10A. Sanchez
  3. 21P. Maisonneuve
  1. 2L. Bury
  2. 3K. Martin
  3. 5F. Aigouy
  4. 20J. Crillon
  1. 30I. Koné

Cholet

  1. 11D. Bertrand
  2. 18N. Baouia
  3. 22Abdelilah Aabiza
  4. 27P. Sarr
  1. 7G. Gbellé
  2. 23Nicolas Farina
  3. 25Dimitry Caloin
  1. 3G. Rippert
  2. 4Sandy Paillot
  3. 29N. Flégeau
  1. 1I. Ahamada
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What is the recent form of both teams?

Over their last 15 matches in all competitions, PAU have 3 wins, 6 draws and 6 defeats; Cholet have 5, 7 and 3.

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

PAU
DateOpponentScoreCompetition
Aug 11, 2017Lyon Duchere(away)1-2Ligue 3
Aug 4, 2017RED Star FC 93(away)1-1Ligue 3
May 19, 2017Concarneau(away)3-0Ligue 3
May 12, 2017Epinal(home)1-0Ligue 3
May 5, 2017Chateauroux(away)0-1Ligue 3
Cholet
DateOpponentScoreCompetition
Aug 11, 2017RED Star FC 93(home)1-2Ligue 3
Aug 4, 2017Creteil(away)5-0Ligue 3
May 20, 2017Trélissac(away)0-2National 2 - Group A
May 13, 2017Stade Plabennec(home)1-1National 2 - Group A
Apr 29, 2017Romorantin(away)1-1National 2 - Group A

How many goals should we expect?

PAU score 0.7 and concede 0.9 goals per match over their last 15; Cholet score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PAU0.70.966/154/15
Cholet1.51.158/155/15

Over the last 15 matches in all competitions.

A question about PAU vs Cholet?

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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