Cannara vs Unipomezia: result 1-1 and analysis
Serie D - Girone EGroup E - 7Kick-off on October 31, 2021 at 01:30 PM (UTC)Stadio Comunale Spoletini, Cannara
Full time
What was the result of Cannara vs Unipomezia?
Cannara and Unipomezia drew 1-1 on October 31, 2021.
Goalscorers
- 27′Daniele BazzoffiaCannara
- 44′?Unipomezia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cannara have 4 wins, 9 draws and 2 defeats; Unipomezia have 0, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Cascina(away) | 1-1 | Serie D - Girone E |
| Oct 17, 2021 | Flaminia(home) | 1-1 | Serie D - Girone E |
| Oct 10, 2021 | Pianese(home) | 0-0 | Serie D - Girone E |
| Oct 3, 2021 | Scandicci(away) | 0-2 | Serie D - Girone E |
| Sep 26, 2021 | Pro Livorno(home) | 3-0 | Serie D - Girone E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Poggibonsi(home) | 0-1 | Serie D - Girone E |
| Oct 17, 2021 | Pianese(away) | 2-4 | Serie D - Girone E |
| Oct 10, 2021 | Tiferno Lerchi(home) | 0-1 | Serie D - Girone E |
| Oct 3, 2021 | Pro Livorno(away) | 1-1 | Serie D - Girone E |
| Sep 26, 2021 | Arezzo(home) | 1-3 | Serie D - Girone E |
How many goals should we expect?
Cannara score 1.1 and concede 0.9 goals per match over their last 15; Unipomezia score 0.7 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cannara | 1.1 | 0.9 | 4 | 9/15 | 5/15 |
| Unipomezia | 0.7 | 2.4 | 0 | 4/7 | 3/7 |
Over the last 15 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 Cannara vs Unipomezia?
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