Matelica vs Ravenna: result 3-2 and analysis
Serie C - Girone BGirone B - 9Kick-off on November 7, 2020 at 07:30 PM (UTC)Centro Sportivo Giovanni Paolo II, Matelica
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What was the result of Matelica vs Ravenna?
Matelica won 3-2 on November 7, 2020.
Goalscorers
- 16′L. BordoMatelica
- 42′S. De SantisMatelica
- 56′B. Mokulu TembeRavenna
- 82′B. Mokulu TembeRavenna
- 90′Federico MorettiMatelica
What is the recent form of both teams?
Over their last 15 matches in all competitions, Matelica have 7 wins, 5 draws and 3 defeats; Ravenna have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Virtus Verona(away) | 0-1 | Serie C - Girone B |
| Oct 25, 2020 | Arezzo(home) | 2-2 | Serie C - Girone B |
| Oct 21, 2020 | Mantova(away) | 2-5 | Serie C - Girone B |
| Oct 17, 2020 | Modena(home) | 2-1 | Serie C - Girone B |
| Oct 11, 2020 | Vis Pesaro(away) | 1-2 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | AJ Fano(home) | 1-0 | Serie C - Girone B |
| Oct 25, 2020 | Feralpisalo(away) | 0-3 | Serie C - Girone B |
| Oct 21, 2020 | Virtus Verona(home) | 2-0 | Serie C - Girone B |
| Oct 17, 2020 | Triestina(away) | 1-2 | Serie C - Girone B |
| Oct 11, 2020 | Modena(away) | 0-3 | Serie C - Girone B |
How many goals should we expect?
Matelica score 1.5 and concede 1.1 goals per match over their last 15; Ravenna score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matelica | 1.5 | 1.1 | 6 | 8/15 | 8/15 |
| Ravenna | 0.7 | 1.3 | 3 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Ravenna | 36 | 22 | 7 | 7 | 50 | 30 | 73 |
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