Feralpisalo vs Juventus U23: result 3-2 and analysis
Serie C - Girone AGirone A - 5Kick-off on September 26, 2021 at 12:30 PM (UTC)Stadio Leonardo Garilli, Piacenza
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What was the result of Feralpisalo vs Juventus U23?
Feralpisalo won 3-2 on September 26, 2021.
Goalscorers
- 10′N. SekulovJuventus U23
- 56′S. GuerraFeralpisalo
- 64′D. LuppiFeralpisalo
- 81′D. LuppiFeralpisalo (pen.)
- 90′M. AkéJuventus U23
What is the recent form of both teams?
Over their last 15 matches in all competitions, Feralpisalo have 4 wins, 4 draws and 7 defeats; Juventus U23 have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2021 | Lecco(away) | 0-1 | Serie C - Girone A |
| Sep 12, 2021 | Mantova(home) | 1-1 | Serie C - Girone A |
| Sep 4, 2021 | Seregno(away) | 3-1 | Serie C - Girone A |
| Aug 28, 2021 | Fiorenzuola(home) | 1-2 | Serie C - Girone A |
| Aug 21, 2021 | Pro Patria(home) | 0-1 | Coppa Italia Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2021 | Triestina(home) | 2-1 | Serie C - Girone A |
| Sep 19, 2021 | PRO Vercelli(home) | 0-2 | Serie C - Girone A |
| Sep 15, 2021 | Pro Patria(home) | 3-2 | Coppa Italia Serie C |
| Sep 12, 2021 | Pro Patria(away) | 0-1 | Serie C - Girone A |
| Aug 29, 2021 | Pergolettese(away) | 2-1 | Serie C - Girone A |
How many goals should we expect?
Feralpisalo score 0.9 and concede 0.9 goals per match over their last 15; Juventus U23 score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feralpisalo | 0.9 | 0.9 | 4 | 6/15 | 4/15 |
| Juventus U23 | 1.4 | 1.3 | 1 | 11/15 | 7/15 |
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 | Juventus U23 | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
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