Fermana vs Mestre: result 1-0 and analysis
Serie C - Girone ARegular Season - 4Kick-off on September 17, 2017 at 12:30 PM (UTC)Stadio Bruno Recchioni, Fermo
Full time
What was the result of Fermana vs Mestre?
Fermana won 1-0 on September 17, 2017.
Goalscorers
- 86′M. SansoviniFermana (pen.)
Official lineup for Fermana vs Mestre
The starting elevens fielded at kick-off.
Fermana
- 17M. Sansovini
- 29A. Lupoli
- 4Gianluca Urbinati
- 8Alex Misin
- 10M. D'Angelo
- 11I. Iotti
- 24Roberto Grieco
- 5Marco Comotto
- 21M. Gennari
- 30N. Sperotto
- 1Mattia Valentini
Mestre
- 10Leonidas
- 23Dario Sottovia
- 11M. Beccaro
- 16A. Rubbo
- 8A. Boscolo Papo
- 13A. Perna
- 14E. Politti
- 3A. Fabbri
- 4N. Kirwan
- 19M. Gritti
- 26R. Gagno
What is the recent form of both teams?
Over their last 2 matches in all competitions, Fermana have 0 wins, 1 draw and 1 defeat; Mestre have 1, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 10, 2017 | Gubbio(home) | 1-1 | Serie C - Girone A |
| Sep 3, 2017 | Albinoleffe(away) | 3-1 | Serie C - Girone A |
| Aug 27, 2017 | Teramo(home) | 1-1 | Serie C - Girone A |
How many goals should we expect?
Fermana score 1.0 and concede 1.5 goals per match over their last 2; Mestre score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fermana | 1.0 | 1.5 | 0 | 1/2 | 1/2 |
| Mestre | 1.7 | 1.0 | 0 | 3/3 | 1/3 |
Over the last 2 matches in all competitions.
A question about Fermana vs Mestre?
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