Lornano Badesse vs Unipomezia: result 4-2 and analysis
Serie D - Girone EGroup E - 9Kick-off on November 14, 2021 at 01:30 PM (UTC)Stadio Mauro Nannotti, Monteriggioni
Full time
What was the result of Lornano Badesse vs Unipomezia?
Lornano Badesse won 4-2 on November 14, 2021.
Goalscorers
- 5′?Lornano Badesse
- 23′?Unipomezia (o.g.)
- 49′?Unipomezia
- 53′137309Lornano Badesse
- 72′?Lornano Badesse
- 84′?Lornano Badesse
What is the recent form of both teams?
Over their last 9 matches in all competitions, Lornano Badesse have 2 wins, 5 draws and 2 defeats; Unipomezia have 0, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Cannara(home) | 0-0 | Serie D - Girone E |
| Oct 31, 2021 | Flaminia(away) | 1-4 | Serie D - Girone E |
| Oct 24, 2021 | Pianese(home) | 2-1 | Serie D - Girone E |
| Oct 20, 2021 | San Donato Tavarnelle(away) | 0-0 | Coppa Italia Serie D |
| Oct 17, 2021 | Scandicci(away) | 0-0 | Serie D - Girone E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Scandicci(home) | 1-1 | Serie D - Girone E |
| Oct 31, 2021 | Cannara(away) | 1-1 | Serie D - Girone E |
| 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 |
How many goals should we expect?
Lornano Badesse score 0.7 and concede 0.9 goals per match over their last 9; Unipomezia score 0.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lornano Badesse | 0.7 | 0.9 | 4 | 4/9 | 2/9 |
| Unipomezia | 0.8 | 2.1 | 0 | 6/9 | 3/9 |
Over the last 9 matches in all competitions.
A question about Lornano Badesse vs Unipomezia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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