Match

FC Luzern vs Sassuolo: result 1-1 and analysis

UEFA Europa League3rd Qualifying RoundKick-off on July 28, 2016 at 05:45 PM (UTC)swissporarena, Luzern

FC Luzern
1-1
Sassuolo

Full time

What was the result of FC Luzern vs Sassuolo?

FC Luzern and Sassuolo drew 1-1 on July 28, 2016.

Goalscorers

  • 8′M. SchneuwlyFC Luzern
  • 42′D. BerardiSassuolo (pen.)

Official lineup for FC Luzern vs Sassuolo

The starting elevens fielded at kick-off.

FC Luzern

4-2-3-1
  1. 15M. Schneuwly
  1. 32N. Haas
  2. 30C. Itten
  3. 8Jahmir Hyka
  1. 19Christian Schneuwly
  2. 10J. Jantscher
  1. 77Markus Neumayr
  2. 13Tomislav Puljić
  3. 7C. Lustenberger
  4. 20Ricardo Costa
  1. 1D. Zibung

Sassuolo

4-3-3
  1. 25D. Berardi
  2. 11G. Defrel
  3. 10N. Sansone
  1. 32A. Duncan
  2. 4Francesco Magnanelli
  3. 8Davide Biondini
  1. 15F. Acerbi
  2. 13Federico Peluso
  3. 23M. Gazzola
  4. 28P. Cannavaro
  1. 47A. Consigli
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What is the recent form of both teams?

Over their last 3 matches in all competitions, FC Luzern have 1 win, 2 draws and 0 defeats; Sassuolo have 8, 4 and 3.

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

FC Luzern
DateOpponentScoreCompetition
Jul 23, 2016FC Lugano(away)2-1Super League
Jul 24, 2014ST Johnstone(away)2-2UEFA Europa League
Jul 17, 2014ST Johnstone(home)1-1UEFA Europa League
Sassuolo
DateOpponentScoreCompetition
May 14, 2016Inter(home)3-1Serie A
May 8, 2016Frosinone(away)1-0Serie A
May 1, 2016Hellas Verona(home)1-0Serie A
Apr 24, 2016Torino(away)3-1Serie A
Apr 20, 2016Sampdoria(home)0-0Serie A

How many goals should we expect?

FC Luzern score 1.7 and concede 1.3 goals per match over their last 3; Sassuolo score 1.5 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC Luzern1.71.303/32/3
Sassuolo1.50.958/156/15

Over the last 3 matches in all competitions.

A question about FC Luzern vs Sassuolo?

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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