Feralpisalo vs Padova: result 2-1 and analysis
Serie C - Girone ARegular Season - 32Kick-off on April 2, 2017 at 02:30 PM (UTC)Stadio Leonardo Garilli, Piacenza
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What was the result of Feralpisalo vs Padova?
Feralpisalo won 2-1 on April 2, 2017.
Goalscorers
- 7′A. BracalettiFeralpisalo
- 34′A. BracalettiFeralpisalo
- 67′C. AltinierPadova
What is the recent form of both teams?
Over their last 15 matches in all competitions, Feralpisalo have 5 wins, 2 draws and 8 defeats; Padova have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2017 | Maceratese(away) | 0-2 | Serie C - Girone A |
| Mar 19, 2017 | Sambenedettese(home) | 1-1 | Serie C - Girone A |
| Mar 12, 2017 | AJ Fano(away) | 1-3 | Serie C - Girone A |
| Mar 5, 2017 | Albinoleffe(home) | 1-0 | Serie C - Girone A |
| Feb 26, 2017 | Parma(home) | 0-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2017 | Bassano Virtus(home) | 1-0 | Serie C - Girone A |
| Mar 19, 2017 | Modena(away) | 1-0 | Serie C - Girone A |
| Mar 12, 2017 | Santarcangelo(home) | 2-0 | Serie C - Girone A |
| Mar 5, 2017 | Reggiana(away) | 1-1 | Serie C - Girone A |
| Feb 26, 2017 | Teramo(home) | 1-0 | Serie C - Girone A |
What does the head-to-head say?
Across the last 1 meetings: 0 Feralpisalo win(s), 0 draw(s), 1 Padova win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 12, 2016 | Padova 2-1 Feralpisalo | Serie C - Girone A |
Last archived meeting: Padova vs Feralpisalo on Nov 12, 2016
How many goals should we expect?
Feralpisalo score 0.9 and concede 1.3 goals per match over their last 15; Padova score 1.3 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feralpisalo | 0.9 | 1.3 | 5 | 5/15 | 4/15 |
| Padova | 1.3 | 0.3 | 11 | 3/15 | 3/15 |
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