Pistoiese vs Tau Altopascio: result 2-1 and analysis
Serie D - Girone DGroup D - 17Kick-off on December 22, 2024 at 01:30 PM (UTC)Stadio Marcello Melani, Pistoia
Full time
What was the result of Pistoiese vs Tau Altopascio?
Pistoiese won 2-1 on December 22, 2024.
Goalscorers
- 55′F. BertoloPistoiese
- 59′L. PinzautiPistoiese
- 71′?Tau Altopascio
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pistoiese have 8 wins, 3 draws and 4 defeats; Tau Altopascio have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2024 | Corticella(away) | 1-0 | Serie D - Girone D |
| Dec 8, 2024 | Forli(home) | 0-2 | Serie D - Girone D |
| Dec 1, 2024 | Zenith Prato(away) | 3-1 | Serie D - Girone D |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2024 | Piacenza(home) | 3-1 | Serie D - Girone D |
| Dec 8, 2024 | Tuttocuoio(away) | 1-1 | Serie D - Girone D |
| Dec 1, 2024 | ASD Sasso Marconi(home) | 2-1 | Serie D - Girone D |
| Nov 24, 2024 | Ravenna(away) | 0-0 | Serie D - Girone D |
| Nov 17, 2024 | Prato(home) | 1-0 | Serie D - Girone D |
How many goals should we expect?
Pistoiese score 1.2 and concede 0.7 goals per match over their last 15; Tau Altopascio score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pistoiese | 1.2 | 0.7 | 8 | 6/15 | 5/15 |
| Tau Altopascio | 1.5 | 0.7 | 7 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Pistoiese | 33 | 19 | 11 | 3 | 56 | 22 | 68 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy