Sambenedettese vs Juventus U23: result 4-2 and analysis
Serie C - Girone BGirone B - 7Kick-off on September 27, 2025 at 01:00 PM (UTC)Stadio Riviera delle Palme, San Benedetto del Tronto
Full time
What was the result of Sambenedettese vs Juventus U23?
Sambenedettese won 4-2 on September 27, 2025.
Goalscorers
- 12′U. EusepiSambenedettese
- 16′S. DemeJuventus U23
- 28′U. EusepiSambenedettese (pen.)
- 58′S. GuerraJuventus U23
- 73′A. ZobolettiSambenedettese
- 90′C. IaiuneseSambenedettese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sambenedettese have 6 wins, 3 draws and 6 defeats; Juventus U23 have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2025 | Perugia(away) | 2-1 | Serie C - Girone B |
| Sep 20, 2025 | Athletic Carpi(home) | 0-1 | Serie C - Girone B |
| Sep 13, 2025 | Pianese(away) | 1-1 | Serie C - Girone B |
| Sep 7, 2025 | Forli(home) | 1-2 | Serie C - Girone B |
| Aug 30, 2025 | Gubbio(away) | 1-1 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2025 | Torres(home) | 2-1 | Serie C - Girone B |
| Sep 20, 2025 | Pineto(away) | 3-2 | Serie C - Girone B |
| Sep 14, 2025 | Arezzo(home) | 2-3 | Serie C - Girone B |
| Sep 6, 2025 | Ascoli(away) | 0-0 | Serie C - Girone B |
| Aug 30, 2025 | Livorno(home) | 2-1 | Serie C - Girone B |
How many goals should we expect?
Sambenedettese score 1.3 and concede 1.1 goals per match over their last 15; Juventus U23 score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sambenedettese | 1.3 | 1.1 | 4 | 9/15 | 7/15 |
| Juventus U23 | 1.9 | 1.1 | 5 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Sambenedettese | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
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