Fermana vs Sambenedettese: result 2-0 and analysis
Serie C - Girone ARegular Season - 2Kick-off on September 20, 2017 at 06:30 PM (UTC)Stadio Bruno Recchioni, Fermo
Full time
What was the result of Fermana vs Sambenedettese?
Fermana won 2-0 on September 20, 2017.
Goalscorers
- 25′Vincenzo AriditàFermana (o.g.)
- 90′I. IottiFermana
Official lineup for Fermana vs Sambenedettese
The starting elevens fielded at kick-off.
Fermana
- 7Andrea Petrucci
- 9Luca Cremona
- 17M. Sansovini
- 4Gianluca Urbinati
- 8Alex Misin
- 11I. Iotti
- 24Roberto Grieco
- 5Marco Comotto
- 21M. Gennari
- 30N. Sperotto
- 1Mattia Valentini
Sambenedettese
- 7A. Di Massimo
- 19N. Valente
- 26L. Miracoli
- 5Simone Mattia
- 21A. Vallocchia
- 23Armin Bačinović
- 29Loris Damonte
- 2D. Conson
- 30G. Tomi
- 32Matteo Patti
- 33Vincenzo Aridità
What is the recent form of both teams?
Over their last 3 matches in all competitions, Fermana have 1 win, 1 draw and 1 defeat; Sambenedettese have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2017 | Mestre(home) | 1-0 | Serie C - Girone A |
| Sep 10, 2017 | Sudtirol(away) | 2-2 | Serie C - Girone A |
| Aug 27, 2017 | Ravenna(away) | 0-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2017 | Gubbio(away) | 2-0 | Serie C - Girone A |
| Sep 10, 2017 | Feralpisalo(home) | 3-2 | Serie C - Girone A |
| Aug 6, 2017 | Cesena(away) | 1-2 | Coppa Italia |
| Jul 30, 2017 | Lucchese(home) | 2-0 | Coppa Italia |
| May 7, 2017 | Pordenone(home) | 2-1 | Serie C - Girone A |
How many goals should we expect?
Fermana score 1.0 and concede 1.0 goals per match over their last 3; Sambenedettese score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fermana | 1.0 | 1.0 | 1 | 1/3 | 1/3 |
| Sambenedettese | 1.7 | 1.1 | 5 | 10/15 | 8/15 |
Over the last 3 matches in all competitions.
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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