Piacenza vs Viterbese: result 0-0 and analysis
Serie C - Girone ARegular Season - 4Kick-off on September 14, 2016 at 04:30 PM (UTC)Stadio Leonardo Garilli, Piacenza
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What was the result of Piacenza vs Viterbese?
Piacenza and Viterbese drew 0-0 on September 14, 2016.
Official lineup for Piacenza vs Viterbese
The starting elevens fielded at kick-off.
Piacenza
- 10Mario Titone
- 5A. Taugourdeau
- 11S. Hraiech
- 7L. Matteassi
- 8A. Cazzamalli
- 9A. Razzitti
- 2Diego Di Cecco
- 4A. Pergreffi
- 6J. Silva
- 14Giuseppe Agostinone
- 1M. Miori
Viterbese
- 20S. Neglia
- 10L. Belcastro
- 17D. Cenciarelli
- 25F. Marano
- 6S. Scardala
- 8M. Cuffa
- 9W. Invernizzi
- 5E. Dierna
- 26M. Varutti
- 31D. Celiento
- 1A. Iannarilli
What is the recent form of both teams?
Over their last 3 matches in all competitions, Piacenza have 1 win, 2 draws and 0 defeats; Viterbese have 1, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Renate(away) | 1-1 | Serie C - Girone A |
| Sep 4, 2016 | Lupa Roma(home) | 3-2 | Serie C - Girone A |
| Aug 28, 2016 | Lucchese(away) | 1-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Racing Roma(home) | 3-1 | Serie C - Girone A |
| Sep 4, 2016 | Tuttocuoio(away) | 0-0 | Serie C - Girone A |
| Aug 28, 2016 | Cremonese(home) | 0-0 | Serie C - Girone A |
How many goals should we expect?
Piacenza score 1.7 and concede 1.3 goals per match over their last 3; Viterbese score 1.0 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Piacenza | 1.7 | 1.3 | 0 | 3/3 | 1/3 |
| Viterbese | 1.0 | 0.3 | 2 | 1/3 | 1/3 |
Over the last 3 matches in all competitions.
A question about Piacenza vs Viterbese?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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