Ternana vs Juventus U23: result 1-0 and analysis
Serie C - Girone BGirone B - 15Kick-off on November 23, 2025 at 01:30 PM (UTC)Stadio Libero Liberati, Terni
Full time
What was the result of Ternana vs Juventus U23?
Ternana won 1-0 on November 23, 2025.
Goalscorers
- 68′S. LeonardiTernana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ternana have 6 wins, 6 draws and 3 defeats; Juventus U23 have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2025 | Sambenedettese(away) | 0-0 | Serie C - Girone B |
| Nov 9, 2025 | Vis Pesaro(home) | 1-1 | Serie C - Girone B |
| Nov 2, 2025 | Gubbio(away) | 3-3 | Serie C - Girone B |
| Oct 28, 2025 | Campobasso FC(home) | 1-0 | Coppa Italia Serie C |
| Oct 25, 2025 | Arezzo(home) | 1-1 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2025 | Forli(home) | 1-0 | Serie C - Girone B |
| Nov 3, 2025 | Vis Pesaro(away) | 0-1 | Serie C - Girone B |
| Oct 29, 2025 | Renate(away) | 1-1 | Coppa Italia Serie C |
| Oct 25, 2025 | Pontedera(home) | 0-1 | Serie C - Girone B |
| Oct 22, 2025 | Campobasso FC(home) | 0-1 | Serie C - Girone B |
How many goals should we expect?
Ternana score 1.3 and concede 0.9 goals per match over their last 15; Juventus U23 score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ternana | 1.3 | 0.9 | 4 | 8/15 | 4/15 |
| Juventus U23 | 1.3 | 1.3 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ternana sit 9th in Serie C - Girone B (48 points from 36 matches) and Juventus U23 sit 5th (53 points from 36 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Juventus U23 | 36 | 14 | 11 | 11 | 46 | 43 | 53 |
| 9 | Ternana | 36 | 14 | 11 | 11 | 44 | 40 | 48 |
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