Juventus U23 vs Renate: result 2-1 and analysis
Serie C - Girone AGirone A - 10Kick-off on October 20, 2019 at 03:30 PM (UTC)Stadio Giuseppe Moccagatta, Alessandria
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What was the result of Juventus U23 vs Renate?
Juventus U23 won 2-1 on October 20, 2019.
Goalscorers
- 8′F. GaluppiniRenate
- 50′M. OlivieriJuventus U23
- 86′E. LaniniJuventus U23
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus U23 have 5 wins, 4 draws and 6 defeats; Renate have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 22, 2019 | Pontedera(home) | 1-1 | Serie C - Girone A |
| Sep 18, 2019 | Arezzo(away) | 2-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Gozzano(home) | 3-0 | Serie C - Girone A |
| Oct 6, 2019 | Pergolettese(away) | 1-0 | Serie C - Girone A |
| Sep 29, 2019 | Carrarese(home) | 0-0 | Serie C - Girone A |
| Sep 25, 2019 | Pistoiese(away) | 0-0 | Serie C - Girone A |
| Sep 22, 2019 | Olbia(home) | 2-0 | Serie C - Girone A |
How many goals should we expect?
Juventus U23 score 1.4 and concede 1.7 goals per match over their last 15; Renate score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus U23 | 1.4 | 1.7 | 3 | 9/15 | 10/15 |
| Renate | 1.1 | 0.5 | 11 | 2/15 | 4/15 |
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 Renate sit 14th (0 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Juventus U23 | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| 14 | Renate | 1 | 0 | 0 | 1 | 1 | 3 | 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