Imolese vs Matelica: result 2-0 and analysis
Serie C - Girone BGirone B - 19Kick-off on January 16, 2021 at 02:00 PM (UTC)Stadio Romeo Galli, Imola
Full time
What was the result of Imolese vs Matelica?
Imolese won 2-0 on January 16, 2021.
Goalscorers
- 49′E. TorrasiImolese
- 90′E. PiovanelloImolese
Official lineup for Imolese vs Matelica
The starting elevens fielded at kick-off.
Imolese
- 9A. Polidori
- 11A. Bentivegna
- 20E. Piovanello
- 8A. Provenzano
- 24E. Torrasi
- 25A. Lombardi
- 26Filippo Carini
- 27Lorenzo Alboni
- 13A. Pilati
- 28F. Della Giovanna
- 1A. Siano
Matelica
- 7E. Volpicelli
- 10V. Leonetti
- 17Federico Moretti
- 5L. Bordo
- 11D. Balestrero
- 8F. Pizzutelli
- 2Matteo Fracassini
- 14S. Cason
- 18K. Magri
- 27Emanuele Maurizii
- 1M. Cardinali
What is the recent form of both teams?
Over their last 15 matches in all competitions, Imolese have 2 wins, 2 draws and 11 defeats; Matelica have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 10, 2021 | Gubbio(away) | 1-2 | Serie C - Girone B |
| Dec 23, 2020 | Cesena(home) | 1-2 | Serie C - Girone B |
| Dec 19, 2020 | Ravenna(away) | 2-3 | Serie C - Girone B |
| Dec 16, 2020 | Legnago Salus(away) | 1-2 | Serie C - Girone B |
| Dec 12, 2020 | Vis Pesaro(home) | 1-2 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 10, 2021 | Perugia(home) | 1-3 | Serie C - Girone B |
| Dec 23, 2020 | AJ Fano(away) | 2-1 | Serie C - Girone B |
| Dec 13, 2020 | Sambenedettese(away) | 3-2 | Serie C - Girone B |
| Dec 5, 2020 | Gubbio(home) | 1-3 | Serie C - Girone B |
| Nov 29, 2020 | Fermana(away) | 1-1 | Serie C - Girone B |
How many goals should we expect?
Imolese score 0.7 and concede 1.6 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 |
|---|---|---|---|---|---|
| Imolese | 0.7 | 1.6 | 1 | 8/15 | 8/15 |
| Matelica | 1.5 | 2.0 | 0 | 13/15 | 12/15 |
Over the last 15 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