Fermana vs Padova: result 0-1 and analysis
Serie C - Girone BGirone B - 4Kick-off on October 11, 2020 at 01:00 PM (UTC)Stadio Bruno Recchioni, Fermo
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What was the result of Fermana vs Padova?
Padova won 0-1 on October 11, 2020.
Goalscorers
- 2′A. BifulcoPadova
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fermana have 5 wins, 6 draws and 4 defeats; Padova 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 |
|---|---|---|---|
| Oct 7, 2020 | Sambenedettese(away) | 1-1 | Serie C - Girone B |
| Oct 4, 2020 | Sudtirol(away) | 0-3 | Serie C - Girone B |
| Sep 27, 2020 | Mantova(home) | 0-1 | Serie C - Girone B |
| Feb 22, 2020 | Vis Pesaro(home) | 1-1 | Serie C - Girone B |
| Feb 16, 2020 | Padova(away) | 1-0 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2020 | Mantova(home) | 3-1 | Serie C - Girone B |
| Oct 4, 2020 | AJ Fano(away) | 1-1 | Serie C - Girone B |
| Sep 30, 2020 | Frosinone(away) | 3-1 | Coppa Italia |
| Sep 27, 2020 | Imolese(home) | 0-1 | Serie C - Girone B |
| Sep 23, 2020 | Breno(home) | 2-0 | Coppa Italia |
What does the head-to-head say?
Across the last 4 meetings: 1 Fermana win(s), 2 draw(s), 1 Padova win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 16, 2020 | Padova 0-1 Fermana | Serie C - Girone B |
| Sep 29, 2019 | Fermana 1-2 Padova | Serie C - Girone B |
| Apr 22, 2018 | Fermana 1-1 Padova | Serie C - Girone A |
| Dec 4, 2017 | Padova 0-0 Fermana | Serie C - Girone A |
How many goals should we expect?
Fermana score 0.7 and concede 0.8 goals per match over their last 15; Padova score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fermana | 0.7 | 0.8 | 5 | 6/15 | 2/15 |
| Padova | 1.3 | 0.9 | 4 | 6/15 | 4/15 |
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