Juventus U23 vs Torres: result 1-0 and analysis
Coppa Italia Serie C2nd RoundKick-off on November 8, 2023 at 01:00 PM (UTC)Stadio Giuseppe Moccagatta, Alessandria
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What was the result of Juventus U23 vs Torres?
Juventus U23 won 1-0 on November 8, 2023.
Goalscorers
- 97′L. ComenenciaJuventus U23
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus U23 have 6 wins, 2 draws and 7 defeats; Torres have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2023 | Pontedera(away) | 0-1 | Serie C - Girone B |
| Oct 29, 2023 | Olbia(home) | 3-1 | Serie C - Girone B |
| Oct 25, 2023 | Gubbio(away) | 1-1 | Serie C - Girone B |
| Oct 22, 2023 | Perugia(home) | 0-2 | Serie C - Girone B |
| Oct 8, 2023 | Sestri Levante(away) | 0-0 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2023 | Virtus Entella(away) | 0-2 | Serie C - Girone B |
| Oct 29, 2023 | Spal(home) | 1-1 | Serie C - Girone B |
| Oct 25, 2023 | Pescara(away) | 2-1 | Serie C - Girone B |
| Oct 22, 2023 | Pontedera(home) | 0-0 | Serie C - Girone B |
| Oct 15, 2023 | Perugia(away) | 1-1 | Serie C - Girone B |
What does the head-to-head say?
In the last meeting: 0 Juventus U23 wins, 0 draws, 1 Torres win.
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2023 | Juventus U23 0-1 Torres | Serie C - Girone B |
Last archived meeting: Juventus U23 vs Torres on Oct 1, 2023
How many goals should we expect?
Juventus U23 score 1.7 and concede 1.4 goals per match over their last 15; Torres score 1.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus U23 | 1.7 | 1.4 | 3 | 7/15 | 7/15 |
| Torres | 1.3 | 0.6 | 7 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Juventus U23 vs Torres?
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