Como vs Livorno: result 0-1 and analysis
Serie C - Girone ARegular Season - 4Kick-off on September 14, 2016 at 02:30 PM (UTC)Stadio Giuseppe Sinigaglia, Como
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What was the result of Como vs Livorno?
Livorno won 0-1 on September 14, 2016.
Goalscorers
- 80′D. VenitucciLivorno
Official lineup for Como vs Livorno
The starting elevens fielded at kick-off.
Como
- 11Cristian Bertani
- 16Giuseppe Le Noci
- 8M. Pessina
- 17Alessio Cristiani
- 20G. Fietta
- 23Andrea Marconi
- 26A. Peverelli
- 3D. Nossa
- 5M. Briganti
- 15Cesare Ambrosini
- 1Diamante Crispino
Livorno
- 18Piergiuseppe Maritato
- 20Simone Dell'Agnello
- 8Andrea Luci
- 14Alessandro Marchi
- 23D. Venitucci
- 24M. Giandonato
- 2D. Toninelli
- 11A. Lambrughi
- 21L. Gonnelli
- 26J. Rossini
- 30L. Mazzoni
What is the recent form of both teams?
Over their last 3 matches in all competitions, Como have 1 win, 1 draw and 1 defeat; Livorno have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Giana Erminio(away) | 3-1 | Serie C - Girone A |
| Aug 28, 2016 | Arezzo(away) | 2-2 | Serie C - Girone A |
| Aug 7, 2016 | Frosinone(away) | 0-3 | Coppa Italia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Carrarese(home) | 1-0 | Serie C - Girone A |
| Sep 4, 2016 | Alessandria(away) | 1-3 | Serie C - Girone A |
| Aug 28, 2016 | Racing Roma(home) | 1-0 | Serie C - Girone A |
| May 18, 2014 | Parma(away) | 0-2 | Serie A |
| May 11, 2014 | Fiorentina(home) | 0-1 | Serie A |
How many goals should we expect?
Como score 1.7 and concede 2.0 goals per match over their last 3; Livorno score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Como | 1.7 | 2.0 | 0 | 2/3 | 3/3 |
| Livorno | 1.0 | 2.3 | 2 | 7/15 | 8/15 |
Over the last 3 matches in all competitions.
A question about Como vs Livorno?
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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