Ascoli U19 vs Juventus U19: result 1-3 and analysis
Campionato Primavera - 1Regular Season - 4Kick-off on January 27, 2021 at 12:00 PM (UTC)Centro Sportivo Città di Ascoli, Ascoli Piceno
Full time
What was the result of Ascoli U19 vs Juventus U19?
Juventus U19 won 1-3 on January 27, 2021.
Goalscorers
- 30′?Juventus U19
- 36′?Ascoli U19
- 52′?Juventus U19 (pen.)
- 70′?Juventus U19
What is the recent form of both teams?
Over their last 5 matches in all competitions, Ascoli U19 have 0 wins, 0 draws and 5 defeats; Juventus U19 have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2021 | Sampdoria U19(home) | 1-3 | Campionato Primavera - 1 |
| Oct 3, 2020 | Internazionale U19(away) | 0-2 | Campionato Primavera - 1 |
| Sep 26, 2020 | Fiorentina U19(home) | 1-2 | Campionato Primavera - 1 |
| Sep 23, 2020 | Napoli U19(away) | 0-4 | Coppa Italia Primavera |
| Sep 18, 2020 | Roma U19(home) | 2-3 | Campionato Primavera - 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2021 | Sassuolo U19(home) | 4-0 | Campionato Primavera - 1 |
| Nov 1, 2020 | Roma U19(away) | 2-4 | Campionato Primavera - 1 |
| Oct 3, 2020 | Milan U19(home) | 1-0 | Campionato Primavera - 1 |
| Sep 25, 2020 | Empoli U19(away) | 2-0 | Campionato Primavera - 1 |
| Sep 20, 2020 | Atalanta U19(away) | 1-1 | Campionato Primavera - 1 |
How many goals should we expect?
Ascoli U19 score 0.8 and concede 2.8 goals per match over their last 5; Juventus U19 score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ascoli U19 | 0.8 | 2.8 | 0 | 3/5 | 4/5 |
| Juventus U19 | 2.2 | 1.3 | 7 | 7/15 | 11/15 |
Over the last 5 matches in all competitions.
A question about Ascoli U19 vs Juventus U19?
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