Match

Racing Roma vs Lucchese: result 0-0 and analysis

Serie C - Girone ARegular Season - 14Kick-off on November 20, 2016 at 01:30 PM (UTC)Stadio Casal del Marmo, Roma

Racing Roma
0-0
Lucchese

Full time

What was the result of Racing Roma vs Lucchese?

Racing Roma and Lucchese drew 0-0 on November 20, 2016.

Official lineup for Racing Roma vs Lucchese

The starting elevens fielded at kick-off.

Racing Roma

  1. 24L. Ricciardi
  2. 3G. Proietti
  3. 4D. Macellari
  4. 7G. Steri
  5. 10C. De Sousa
  6. 17G. Vastola
  7. 21T. Maestrelli
  8. 27G. Caputo
  9. 29E. Loglio
  1. 5Andrea Selvaggio
  1. 1Luca Savelloni

Lucchese

  1. 7Mario Merlonghi
  2. 9F. Forte
  3. 11G. Terrani
  4. 28G. De Feo
  1. 15M. Nolè
  2. 16Mirko Bruccini
  1. 4Filippo Florio
  2. 5M. Maini
  3. 24L. Cecchini
  4. 29K. Dermaku
  1. 22T. Nobile
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What is the recent form of both teams?

Over their last 14 matches in all competitions, Racing Roma have 2 wins, 1 draw and 11 defeats; Lucchese have 4, 6 and 3.

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

Racing Roma
DateOpponentScoreCompetition
Nov 13, 2016PRO Piacenza(away)0-3Serie C - Girone A
Nov 6, 2016Alessandria(home)1-1Serie C - Girone A
Oct 30, 2016Giana Erminio(away)0-3Serie C - Girone A
Oct 23, 2016Carrarese(home)0-1Serie C - Girone A
Oct 16, 2016Arezzo(away)0-1Serie C - Girone A
Lucchese
DateOpponentScoreCompetition
Nov 13, 2016Renate(home)1-1Serie C - Girone A
Nov 6, 2016Viterbese(home)2-1Serie C - Girone A
Oct 30, 2016PRO Piacenza(away)0-0Serie C - Girone A
Oct 23, 2016Prato(home)3-0Serie C - Girone A
Oct 16, 2016Como(away)0-1Serie C - Girone A

How many goals should we expect?

Racing Roma score 0.7 and concede 1.9 goals per match over their last 14; Lucchese score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Racing Roma0.71.925/147/14
Lucchese1.51.137/136/13

Over the last 14 matches in all competitions.

A question about Racing Roma 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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