Feralpisalo vs Modena: result 1-0 and analysis
Serie C - Girone ARegular Season - 2Kick-off on September 3, 2016 at 02:30 PM (UTC)Stadio Leonardo Garilli, Piacenza
Full time
What was the result of Feralpisalo vs Modena?
Feralpisalo won 1-0 on September 3, 2016.
Goalscorers
- 68′N. RomeroFeralpisalo
Official lineup for Feralpisalo vs Modena
The starting elevens fielded at kick-off.
Feralpisalo
- 17S. Guerra
- 20F. Gerardi
- 5Guido Davì
- 7A. Settembrini
- 8Federico Maracchi
- 10A. Bracaletti
- 6A. Ranellucci
- 13N. Allievi
- 19Roberto Codromaz
- 26G. Gambaretti
- 1Nicholas Caglioni
Modena
- 17A. Diakite
- 11Agustín Olivera Scalabrini
- 18Alimeyaw Salifu
- 19Antonio Loi
- 24D. Giorico
- 32Nicolás Schiavi
- 16G. Zucchini
- 20S. Aldrovandi
- 23L. Calapai
- 28Ș. Popescu
- 12N. Manfredini
What is the recent form of both teams?
In their last match in all competitions, Feralpisalo have 0 wins, 0 draws and 1 defeat; Modena have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Santarcangelo(away) | 1-3 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Parma(home) | 0-0 | Serie C - Girone A |
| Aug 6, 2016 | Spezia(away) | 0-1 | Coppa Italia |
How many goals should we expect?
Feralpisalo score 1.0 and concede 3.0 goals per match in their last match; Modena score 0.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feralpisalo | 1.0 | 3.0 | 0 | 1/1 | 1/1 |
| Modena | 0.0 | 0.5 | 1 | 0/2 | 0/2 |
Over the last match in all competitions.
A question about Feralpisalo vs Modena?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy