Feralpisalo vs Matelica: result 2-1 and analysis
Serie C - Girone BGirone B - 21Kick-off on January 31, 2021 at 02:00 PM (UTC)Stadio Leonardo Garilli, Piacenza
Full time
What was the result of Feralpisalo vs Matelica?
Feralpisalo won 2-1 on January 31, 2021.
Goalscorers
- 29′T. MorosiniFeralpisalo
- 56′V. LeonettiMatelica
- 90′F. ScarsellaFeralpisalo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Feralpisalo have 6 wins, 5 draws and 4 defeats; Matelica have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2021 | Carpi(away) | 2-1 | Serie C - Girone B |
| Jan 23, 2021 | Arezzo(away) | 3-2 | Serie C - Girone B |
| Jan 17, 2021 | Perugia(away) | 2-3 | Serie C - Girone B |
| Jan 9, 2021 | Sambenedettese(home) | 1-2 | Serie C - Girone B |
| Dec 19, 2020 | Fermana(home) | 1-1 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 24, 2021 | Triestina(home) | 3-2 | Serie C - Girone B |
| Jan 20, 2021 | Carpi(home) | 1-0 | Serie C - Girone B |
| Jan 16, 2021 | Imolese(away) | 0-2 | Serie C - Girone B |
| Jan 10, 2021 | Perugia(home) | 1-3 | Serie C - Girone B |
| Dec 23, 2020 | AJ Fano(away) | 2-1 | Serie C - Girone B |
What does the head-to-head say?
Across the last 1 meetings: 0 Feralpisalo win(s), 0 draw(s), 1 Matelica win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2020 | Matelica 3-1 Feralpisalo | Serie C - Girone B |
Last archived meeting: Matelica vs Feralpisalo on Oct 3, 2020
How many goals should we expect?
Feralpisalo score 1.5 and concede 1.3 goals per match over their last 15; Matelica score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feralpisalo | 1.5 | 1.3 | 3 | 11/15 | 9/15 |
| Matelica | 1.5 | 2.0 | 1 | 11/15 | 11/15 |
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