Tau Altopascio vs Piacenza: result 3-1 and analysis
Serie D - Girone DGroup D - 16Kick-off on December 15, 2024 at 01:30 PM (UTC)Stadio Comunale Altopascio, Altopascio
Full time
What was the result of Tau Altopascio vs Piacenza?
Tau Altopascio won 3-1 on December 15, 2024.
Goalscorers
- 18′?Piacenza
- 21′?Tau Altopascio (pen.)
- 70′?Tau Altopascio
- 88′?Tau Altopascio
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tau Altopascio have 10 wins, 3 draws and 2 defeats; Piacenza have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 10, 2024 | Progresso(away) | 0-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2024 | United Riccione(home) | 1-0 | Serie D - Girone D |
| Dec 4, 2024 | Sant'Angelo(away) | 3-0 | Coppa Italia Serie D |
| Dec 1, 2024 | Forli(away) | 1-6 | Serie D - Girone D |
| Nov 24, 2024 | Imolese(home) | 1-3 | Serie D - Girone D |
| Nov 20, 2024 | Villa Valle(home) | 2-1 | Coppa Italia Serie D |
How many goals should we expect?
Tau Altopascio score 1.6 and concede 0.7 goals per match over their last 15; Piacenza score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tau Altopascio | 1.6 | 0.7 | 7 | 7/15 | 7/15 |
| Piacenza | 1.1 | 1.2 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Piacenza | 34 | 19 | 7 | 8 | 60 | 35 | 64 |
A question about Tau Altopascio vs 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