Match

Feralpisalo vs Padova: result 1-0 and analysis

Serie C - Girone AGirone A - 11Kick-off on October 25, 2021 at 07:00 PM (UTC)Stadio Leonardo Garilli, Piacenza

Feralpisalo
1-0
Padova

Full time

What was the result of Feralpisalo vs Padova?

Feralpisalo won 1-0 on October 25, 2021.

Goalscorers

  • 2′A. DonnarummaFeralpisalo (o.g.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Feralpisalo have 7 wins, 2 draws and 6 defeats; Padova have 8, 5 and 2.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Feralpisalo
DateOpponentScoreCompetition
Oct 20, 2021Trento(away)2-1Serie C - Girone A
Oct 17, 2021Legnago Salus(home)5-1Serie C - Girone A
Oct 9, 2021PRO Vercelli(away)2-0Serie C - Girone A
Oct 3, 2021Pro Sesto(home)1-1Serie C - Girone A
Sep 29, 2021Albinoleffe(away)1-0Serie C - Girone A
Padova
DateOpponentScoreCompetition
Oct 20, 2021Pro Sesto(away)2-2Serie C - Girone A
Oct 17, 2021Trento(home)2-1Serie C - Girone A
Oct 9, 2021Lecco(away)2-3Serie C - Girone A
Oct 3, 2021Seregno(home)1-1Serie C - Girone A
Sep 29, 2021Fiorenzuola(home)2-1Serie C - Girone A

What does the head-to-head say?

Across the last 6 meetings: 2 Feralpisalo win(s), 2 draw(s), 2 Padova win(s).

DateScoreCompetition
Mar 17, 2021Padova 4-0 FeralpisaloSerie C - Girone B
Nov 22, 2020Feralpisalo 3-1 PadovaSerie C - Girone B
Jul 5, 2020Padova 1-0 FeralpisaloSerie C - Girone A
Nov 16, 2019Feralpisalo 1-0 PadovaSerie C - Girone B
Mar 21, 2018Padova 1-1 FeralpisaloSerie C - Girone A
Nov 5, 2017Feralpisalo 2-2 PadovaSerie C - Girone A

Last archived meeting: Padova vs Feralpisalo on Mar 17, 2021

How many goals should we expect?

Feralpisalo score 1.7 and concede 1.1 goals per match over their last 15; Padova score 1.7 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Feralpisalo1.71.129/157/15
Padova1.71.059/159/15

Over the last 15 matches in all competitions.

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

Other matches in the same round

Next match: Feralpisalo and Padova

Ready to know everything about football?