Prato vs Pistoiese: result 2-2 and analysis
Serie C - Girone ARegular Season - 3Kick-off on September 9, 2016 at 06:30 PM (UTC)Stadio Lungobisenzio, Prato
Full time
What was the result of Prato vs Pistoiese?
Prato and Pistoiese drew 2-2 on September 9, 2016.
Goalscorers
- 14′G. LuperiniPistoiese
- 30′F. TavanoPrato
- 47′A. RomanoPrato
- 58′209175Pistoiese
Official lineup for Prato vs Pistoiese
The starting elevens fielded at kick-off.
Prato
- 6A. Romano
- 9G. Moncini
- 10F. Tavano
- 11D. Di Molfetta
- 20Luca Checchin
- 2F. Catacchini
- 8D. Carcuro
- 23D. Ghidotti
- 5R. Martinelli
- 7Luca Antonini
- 1R. Melgrati
Pistoiese
- 9Emanuele Rovini
- 7F. Finocchio
- 8A. Benedetti
- 15Francesco Colombini
- 17G. Luperini
- 19N. Minotti
- 5G. Priola
- 2Mattia Placido
- 11E. Gyasi
- 18L. Zanon
- 1I. Feola
What is the recent form of both teams?
Over their last 2 matches in all competitions, Prato have 0 wins, 1 draw and 1 defeat; Pistoiese have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | Racing Roma(away) | 0-1 | Serie C - Girone A |
| Aug 28, 2016 | Tuttocuoio(home) | 2-2 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | PRO Piacenza(home) | 1-2 | Serie C - Girone A |
| Aug 28, 2016 | Lupa Roma(away) | 2-2 | Serie C - Girone A |
How many goals should we expect?
Prato score 1.0 and concede 1.5 goals per match over their last 2; Pistoiese score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Prato | 1.0 | 1.5 | 0 | 1/2 | 1/2 |
| Pistoiese | 1.5 | 2.0 | 0 | 2/2 | 2/2 |
Over the last 2 matches in all competitions.
A question about Prato vs Pistoiese?
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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