Sporting Trestina vs Lornano Badesse: result 1-2 and analysis
Serie D - Girone EGroup E - 12Kick-off on December 4, 2021 at 01:30 PM (UTC)Stadio Lorenzo Casini, Trestina
Full time
What was the result of Sporting Trestina vs Lornano Badesse?
Lornano Badesse won 1-2 on December 4, 2021.
Goalscorers
- 22′G. CecconiLornano Badesse
- 52′G. CecconiLornano Badesse
- 61′?Sporting Trestina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sporting Trestina have 5 wins, 3 draws and 7 defeats; Lornano Badesse have 5, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Unipomezia(away) | 1-0 | Serie D - Girone E |
| Nov 20, 2021 | Cannara(home) | 3-1 | Serie D - Girone E |
| Nov 14, 2021 | Flaminia(away) | 0-0 | Serie D - Girone E |
| Nov 7, 2021 | Pianese(home) | 1-0 | Serie D - Girone E |
| Nov 3, 2021 | Foligno Calcio(home) | 1-2 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Rieti(home) | 2-0 | Serie D - Girone E |
| Nov 21, 2021 | Cascina(away) | 1-0 | Serie D - Girone E |
| Nov 14, 2021 | Unipomezia(home) | 4-2 | Serie D - Girone E |
| Nov 7, 2021 | Cannara(home) | 0-0 | Serie D - Girone E |
| Oct 31, 2021 | Flaminia(away) | 1-4 | Serie D - Girone E |
How many goals should we expect?
Sporting Trestina score 1.1 and concede 1.0 goals per match over their last 15; Lornano Badesse score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sporting Trestina | 1.1 | 1.0 | 5 | 7/15 | 7/15 |
| Lornano Badesse | 1.1 | 0.8 | 6 | 5/12 | 3/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sporting Trestina | 34 | 10 | 12 | 12 | 40 | 42 | 42 |
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