Zenith Prato vs Pistoiese: result 1-3 and analysis
Serie D - Girone DGroup D - 14Kick-off on December 1, 2024 at 01:30 PM (UTC)Stadio Lungobisenzio, Prato
Full time
What was the result of Zenith Prato vs Pistoiese?
Pistoiese won 1-3 on December 1, 2024.
Goalscorers
- 8′?Pistoiese
- 34′Claudio SparacelloPistoiese
- 72′Claudio SparacelloPistoiese
- 77′?Zenith Prato
What is the recent form of both teams?
Over their last 14 matches in all competitions, Zenith Prato have 3 wins, 2 draws and 9 defeats; Pistoiese have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2024 | Prato(away) | 0-1 | Serie D - Girone D |
| Nov 17, 2024 | Tuttocuoio(home) | 3-1 | Serie D - Girone D |
| Nov 10, 2024 | Lentigione(away) | 0-2 | Serie D - Girone D |
| Nov 3, 2024 | Ravenna(home) | 0-5 | Serie D - Girone D |
| Oct 30, 2024 | Corticella(away) | 1-3 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2024 | Victor San Marino(home) | 1-0 | Serie D - Girone D |
| Nov 17, 2024 | United Riccione(away) | 1-2 | Serie D - Girone D |
| Nov 10, 2024 | Piacenza(home) | 1-0 | Serie D - Girone D |
| Nov 3, 2024 | Imolese(away) | 1-1 | Serie D - Girone D |
| Oct 27, 2024 | ASD Sasso Marconi(away) | 1-2 | Serie D - Girone D |
How many goals should we expect?
Zenith Prato score 0.8 and concede 1.9 goals per match over their last 14; Pistoiese score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zenith Prato | 0.8 | 1.9 | 1 | 6/14 | 8/14 |
| Pistoiese | 1.0 | 0.9 | 7 | 6/15 | 5/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Pistoiese | 8 | 8 | 0 | 0 | 19 | 1 | 24 |
A question about Zenith 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