Match

Auxerre vs Quevilly: result 2-1 and analysis

Ligue 2Regular Season - 12Kick-off on October 20, 2017 at 06:00 PM (UTC)Stade de l'Abbé Deschamps, Auxerre

Auxerre
2-1
Quevilly

Full time

What was the result of Auxerre vs Quevilly?

Auxerre won 2-1 on October 20, 2017.

Goalscorers

  • 29′Mathieu DuhamelQuevilly (pen.)
  • 68′M. YattaraAuxerre
  • 90′P. SanéAuxerre (pen.)

Official lineup for Auxerre vs Quevilly

The starting elevens fielded at kick-off.

Auxerre

4-4-2
  1. 18M. Yattara
  2. 26Ivan Firer
  1. 21H. Sakhi
  2. 28R. Philippoteaux
  3. 12B. Touré
  4. 8J. Adéoti
  1. 2C. Arcus
  2. 5Abdoul Bocar Bâ
  3. 23Y. Sané
  4. 3P. Polomat
  1. 1Z. Boucher

Quevilly

4-2-3-1
  1. 23D. Caddy
  1. 9Mathieu Duhamel
  2. 14R. Basque
  3. 27Rafik Boujedra
  1. 21Eric Tié Bi
  2. 6S. Oliveira
  1. 24J. Lefort
  2. 25J. Clauss
  3. 17P. Vignaud
  4. 4Jacques Salze
  1. 30J. Hartock
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Auxerre have 5 wins, 4 draws and 6 defeats; Quevilly have 2, 2 and 11.

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

Auxerre
DateOpponentScoreCompetition
Oct 13, 2017Stade Brestois 29(away)1-1Ligue 2
Sep 29, 2017Sochaux(home)2-0Ligue 2
Sep 22, 2017Valenciennes(away)2-0Ligue 2
Sep 19, 2017Lorient(home)1-0Ligue 2
Sep 15, 2017Nimes(away)0-3Ligue 2
Quevilly
DateOpponentScoreCompetition
Oct 13, 2017Ajaccio(home)0-1Ligue 2
Sep 29, 2017Niort(away)1-2Ligue 2
Sep 22, 2017Reims(home)1-2Ligue 2
Sep 18, 2017Lens(away)0-2Ligue 2
Sep 15, 2017Nancy(home)2-0Ligue 2

How many goals should we expect?

Auxerre score 1.0 and concede 1.3 goals per match over their last 15; Quevilly score 0.8 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Auxerre1.01.367/155/15
Quevilly0.81.727/156/15

Over the last 15 matches in all competitions.

A question about Auxerre vs Quevilly?

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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