Fermana vs Padova: result 1-2 and analysis
Serie C - Girone BGirone B - 7Kick-off on September 29, 2019 at 01:00 PM (UTC)Stadio Bruno Recchioni, Fermo
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What was the result of Fermana vs Padova?
Padova won 1-2 on September 29, 2019.
Goalscorers
- 48′Joel BarayePadova
- 58′B. Mokulu TembePadova (pen.)
- 88′Hernan Rodolfo MolinariFermana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fermana have 2 wins, 5 draws and 8 defeats; Padova have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | Sudtirol(away) | 0-3 | Serie C - Girone B |
| Sep 22, 2019 | Sambenedettese(home) | 1-1 | Serie C - Girone B |
| Sep 15, 2019 | Piacenza(away) | 1-0 | Serie C - Girone B |
| Sep 8, 2019 | Feralpisalo(home) | 0-1 | Serie C - Girone B |
| Sep 1, 2019 | Vicenza Virtus(away) | 1-3 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | Cesena(home) | 1-0 | Serie C - Girone B |
| Sep 22, 2019 | Vis Pesaro(away) | 2-0 | Serie C - Girone B |
| Sep 15, 2019 | Carpi(home) | 0-0 | Serie C - Girone B |
| Sep 9, 2019 | Modena(away) | 1-0 | Serie C - Girone B |
| Sep 1, 2019 | AJ Fano(home) | 6-1 | Serie C - Girone B |
What does the head-to-head say?
Across the last 2 meetings: 0 Fermana win(s), 2 draw(s), 0 Padova win(s).
| Date | Score | Competition |
|---|---|---|
| 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 0.6 and concede 1.7 goals per match over their last 15; Padova score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fermana | 0.6 | 1.7 | 2 | 7/15 | 6/15 |
| Padova | 1.5 | 1.1 | 5 | 9/15 | 7/15 |
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