Match

Como vs Lucchese: result 1-0 and analysis

Serie C - Girone ARegular Season - 9Kick-off on October 16, 2016 at 04:30 PM (UTC)Stadio Giuseppe Sinigaglia, Como

Como
1-0
Lucchese

Full time

What was the result of Como vs Lucchese?

Como won 1-0 on October 16, 2016.

Goalscorers

  • 15′Matteo ChinellatoComo

Official lineup for Como vs Lucchese

The starting elevens fielded at kick-off.

Como

  1. 9Matteo Chinellato
  2. 16Giuseppe Le Noci
  1. 8M. Pessina
  2. 10D. Di Quinzio
  3. 17Alessio Cristiani
  4. 23Andrea Marconi
  5. 26A. Peverelli
  1. 3D. Nossa
  2. 5M. Briganti
  3. 15Cesare Ambrosini
  1. 22L. Zanotti

Lucchese

  1. 9F. Forte
  2. 11G. Terrani
  3. 28G. De Feo
  1. 8N. Mingazzini
  2. 16Mirko Bruccini
  1. 4Filippo Florio
  2. 6Ciro Capuano
  3. 19M. Espeche
  4. 24L. Cecchini
  5. 29K. Dermaku
  1. 22T. Nobile
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What is the recent form of both teams?

Over their last 9 matches in all competitions, Como have 4 wins, 2 draws and 3 defeats; Lucchese have 2, 4 and 2.

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

Como
DateOpponentScoreCompetition
Oct 12, 2016Pontedera(home)3-1Serie C - Girone A
Oct 9, 2016Prato(away)1-0Serie C - Girone A
Oct 2, 2016Racing Roma(home)2-1Serie C - Girone A
Sep 25, 2016Alessandria(away)0-2Serie C - Girone A
Sep 18, 2016Robur Siena(home)1-1Serie C - Girone A
Lucchese
DateOpponentScoreCompetition
Oct 9, 2016Lupa Roma(home)4-0Serie C - Girone A
Oct 2, 2016Pontedera(away)4-2Serie C - Girone A
Sep 25, 2016Arezzo(home)2-2Serie C - Girone A
Sep 18, 2016Livorno(away)1-1Serie C - Girone A
Sep 14, 2016Tuttocuoio(away)0-2Serie C - Girone A

How many goals should we expect?

Como score 1.3 and concede 1.3 goals per match over their last 9; Lucchese score 1.8 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Como1.31.315/95/9
Lucchese1.81.415/84/8

Over the last 9 matches in all competitions.

A question about Como vs Lucchese?

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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