PRO Piacenza vs Juventus U23: result 0-3 and analysis
Serie C - Girone AGirone A - 38Kick-off on May 3, 2019 at 10:00 PM (UTC)Stadio Leonardo Garilli, Piacenza
Full time
What was the result of PRO Piacenza vs Juventus U23?
Juventus U23 won 0-3 on May 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PRO Piacenza have 0 wins, 0 draws and 15 defeats; Juventus U23 have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2019 | PRO Vercelli(away) | 0-3 | Serie C - Girone A |
| Apr 19, 2019 | Arzachena(home) | 0-3 | Serie C - Girone A |
| Apr 13, 2019 | Arezzo(away) | 0-3 | Serie C - Girone A |
| Apr 6, 2019 | Pontedera(home) | 0-3 | Serie C - Girone A |
| Mar 30, 2019 | Carrarese(away) | 0-3 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2019 | Virtus Entella(home) | 0-2 | Serie C - Girone A |
| Apr 18, 2019 | Gozzano(away) | 2-1 | Serie C - Girone A |
| Apr 13, 2019 | Olbia(home) | 2-2 | Serie C - Girone A |
| Apr 6, 2019 | Pisa(away) | 1-2 | Serie C - Girone A |
| Mar 30, 2019 | Pistoiese(home) | 0-4 | Serie C - Girone A |
How many goals should we expect?
PRO Piacenza score 0.0 and concede 3.0 goals per match over their last 15; Juventus U23 score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PRO Piacenza | 0.0 | 3.0 | 0 | 0/15 | 15/15 |
| Juventus U23 | 1.1 | 1.4 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Juventus U23 | 13 | 2 | 5 | 6 | 12 | 23 | 11 |
A question about PRO Piacenza vs Juventus U23?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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