Montespaccato vs Cannara: result 0-1 and analysis
Serie D - Girone EGroup E - 12Kick-off on December 5, 2021 at 01:30 PM (UTC)Campo Sportivo Montespaccato, Roma
Full time
What was the result of Montespaccato vs Cannara?
Cannara won 0-1 on December 5, 2021.
Goalscorers
- 87′?Cannara
What is the recent form of both teams?
Over their last 13 matches in all competitions, Montespaccato have 4 wins, 5 draws and 4 defeats; Cannara have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Flaminia(away) | 2-3 | Serie D - Girone E |
| Nov 21, 2021 | Pianese(home) | 3-3 | Serie D - Girone E |
| Nov 14, 2021 | Scandicci(away) | 1-2 | Serie D - Girone E |
| Nov 7, 2021 | Pro Livorno(home) | 3-1 | Serie D - Girone E |
| Oct 31, 2021 | Poggibonsi(away) | 0-3 | Serie D - Girone E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Gavorrano(home) | 0-3 | Serie D - Girone E |
| Nov 20, 2021 | Sporting Trestina(away) | 1-3 | Serie D - Girone E |
| Nov 14, 2021 | Rieti(home) | 0-1 | Serie D - Girone E |
| Nov 7, 2021 | Lornano Badesse(away) | 0-0 | Serie D - Girone E |
| Oct 31, 2021 | Unipomezia(home) | 1-1 | Serie D - Girone E |
How many goals should we expect?
Montespaccato score 1.7 and concede 1.5 goals per match over their last 13; Cannara score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montespaccato | 1.7 | 1.5 | 4 | 8/13 | 9/13 |
| Cannara | 1.0 | 1.2 | 3 | 8/15 | 6/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Cannara | 34 | 6 | 8 | 20 | 24 | 59 | 26 |
A question about Montespaccato vs Cannara?
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