Zenith Prato vs Tuttocuoio: result 3-1 and analysis
Serie D - Girone DGroup D - 12Kick-off on November 17, 2024 at 01:30 PM (UTC)Stadio Lungobisenzio, Prato
Full time
What was the result of Zenith Prato vs Tuttocuoio?
Zenith Prato won 3-1 on November 17, 2024.
Goalscorers
- 10′?Zenith Prato
- 53′?Tuttocuoio
- 80′?Zenith Prato
- 82′?Zenith Prato
What is the recent form of both teams?
Over their last 12 matches in all competitions, Zenith Prato have 2 wins, 2 draws and 8 defeats; Tuttocuoio 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 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 |
| Oct 27, 2024 | Fiorenzuola(away) | 1-2 | Serie D - Girone D |
| Oct 23, 2024 | Progresso(home) | 1-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2024 | Victor San Marino(home) | 0-0 | Serie D - Girone D |
| Nov 6, 2024 | Imolese(away) | 0-5 | Serie D - Girone D |
| Nov 3, 2024 | United Riccione(away) | 2-0 | Serie D - Girone D |
| Oct 30, 2024 | ASD Sasso Marconi(home) | 1-0 | Serie D - Girone D |
| Oct 27, 2024 | Piacenza(home) | 1-1 | Serie D - Girone D |
How many goals should we expect?
Zenith Prato score 0.7 and concede 2.0 goals per match over their last 12; Tuttocuoio score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zenith Prato | 0.7 | 2.0 | 1 | 5/12 | 7/12 |
| Tuttocuoio | 0.8 | 1.0 | 6 | 5/15 | 3/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Tuttocuoio | 33 | 0 | 7 | 26 | 15 | 70 | 7 |
A question about Zenith Prato vs Tuttocuoio?
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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