Perugia vs Matelica: result 2-0 and analysis
Serie C - Girone BGirone B - 37Kick-off on April 25, 2021 at 06:30 PM (UTC)Stadio Renato Curi, Perugia
Full time
What was the result of Perugia vs Matelica?
Perugia won 2-0 on April 25, 2021.
Goalscorers
- 27′M. MinessoPerugia
- 49′M. MinessoPerugia (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Perugia have 10 wins, 3 draws and 2 defeats; Matelica have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2021 | Ravenna(away) | 3-0 | Serie C - Girone B |
| Apr 11, 2021 | Triestina(home) | 2-1 | Serie C - Girone B |
| Apr 3, 2021 | Virtus Verona(away) | 3-0 | Serie C - Girone B |
| Mar 30, 2021 | Fermana(away) | 1-1 | Serie C - Girone B |
| Mar 27, 2021 | Imolese(away) | 1-0 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2021 | AJ Fano(home) | 0-0 | Serie C - Girone B |
| Apr 11, 2021 | Carpi(away) | 1-4 | Serie C - Girone B |
| Apr 3, 2021 | Sambenedettese(home) | 1-0 | Serie C - Girone B |
| Mar 27, 2021 | Gubbio(away) | 0-3 | Serie C - Girone B |
| Mar 21, 2021 | Fermana(home) | 5-1 | Serie C - Girone B |
What does the head-to-head say?
Across the last 1 meetings: 1 Perugia win(s), 0 draw(s), 0 Matelica win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 10, 2021 | Matelica 1-3 Perugia | Serie C - Girone B |
How many goals should we expect?
Perugia score 1.9 and concede 0.7 goals per match over their last 15; Matelica score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Perugia | 1.9 | 0.7 | 8 | 6/15 | 7/15 |
| Matelica | 1.6 | 1.5 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Perugia | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
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