Juventus U23 vs Pergolettese: result 1-0 and analysis
Serie C - Girone AGirone A - 12Kick-off on October 27, 2019 at 03:30 PM (UTC)Stadio Giuseppe Moccagatta, Alessandria
Full time
What was the result of Juventus U23 vs Pergolettese?
Juventus U23 won 1-0 on October 27, 2019.
Goalscorers
- 62′E. LaniniJuventus U23
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus U23 have 5 wins, 5 draws and 5 defeats; Pergolettese have 0, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2019 | Lecco(away) | 1-1 | Serie C - Girone A |
| Oct 20, 2019 | Renate(home) | 2-1 | Serie C - Girone A |
| Oct 6, 2019 | Pianese(away) | 1-0 | Serie C - Girone A |
| Sep 30, 2019 | Monza(home) | 1-4 | Serie C - Girone A |
| Sep 25, 2019 | Albinoleffe(away) | 1-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2019 | Giana Erminio(away) | 1-1 | Serie C - Girone A |
| Oct 20, 2019 | Robur Siena(home) | 0-1 | Serie C - Girone A |
| Oct 13, 2019 | Carrarese(away) | 0-3 | Serie C - Girone A |
| Oct 6, 2019 | Renate(home) | 0-1 | Serie C - Girone A |
| Sep 29, 2019 | PRO Vercelli(away) | 0-0 | Serie C - Girone A |
How many goals should we expect?
Juventus U23 score 1.4 and concede 1.5 goals per match over their last 15; Pergolettese score 0.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus U23 | 1.4 | 1.5 | 2 | 11/15 | 9/15 |
| Pergolettese | 0.4 | 1.3 | 2 | 4/11 | 2/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Juventus U23 sit 7th in Serie C - Girone A (3 points from 1 matches) and Pergolettese sit 20th (0 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Juventus U23 | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| 20 | Pergolettese | 1 | 0 | 0 | 1 | 0 | 2 | 0 |
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