Pistoiese vs PRO Piacenza: result 1-2 and analysis
Serie C - Girone AMatchday 2Kick-off on September 4, 2016 at 04:30 PM (UTC)Stadio Marcello Melani, Pistoia
Full time
What was the result of Pistoiese vs PRO Piacenza?
PRO Piacenza won 1-2 on September 4, 2016.
Goalscorers
- 20′Emanuele RoviniPistoiese
- 38′209168PRO Piacenza
- 43′Massimiliano PesentiPRO Piacenza (pen.)
Official lineup for Pistoiese vs PRO Piacenza
The starting elevens fielded at kick-off.
Pistoiese
- 9Emanuele Rovini
- 7F. Finocchio
- 15Francesco Colombini
- 17G. Luperini
- 19N. Minotti
- 21Z. Hamlili
- 5G. Priola
- 2Mattia Placido
- 3Massimo Sammartino
- 11E. Gyasi
- 1I. Feola
PRO Piacenza
- 9Massimiliano Pesenti
- 8Jonathan Aspas Juncal
- 16Riccardo Rossini
- 17L. Marchionni
- 3A. Sane
- 10G. Martinez
- 11D. Cardin
- 14K. Gomis
- 4Francesco Bini
- 5Dembel Sall
- 1E. Fumagalli
What is the recent form of both teams?
In their last match in all competitions, Pistoiese have 0 wins, 1 draw and 0 defeats; PRO Piacenza have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Lupa Roma(away) | 2-2 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Alessandria(home) | 0-1 | Serie C - Girone A |
How many goals should we expect?
Pistoiese score 2.0 and concede 2.0 goals per match in their last match; PRO Piacenza score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pistoiese | 2.0 | 2.0 | 0 | 1/1 | 1/1 |
| PRO Piacenza | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last match in all competitions.
A question about Pistoiese vs PRO Piacenza?
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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