Scandicci vs Tiferno Lerchi: result 1-2 and analysis
Serie D - Girone EGroup E - 17Kick-off on January 23, 2022 at 01:30 PM (UTC)Stadio Turri, Firenze
Full time
What was the result of Scandicci vs Tiferno Lerchi?
Tiferno Lerchi won 1-2 on January 23, 2022.
Goalscorers
- 59′?Scandicci
- 75′?Tiferno Lerchi
- 85′?Tiferno Lerchi (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Scandicci have 5 wins, 4 draws and 6 defeats; Tiferno Lerchi have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2022 | Arezzo(home) | 2-2 | Serie D - Girone E |
| Dec 22, 2021 | Pro Livorno(away) | 2-1 | Serie D - Girone E |
| Dec 18, 2021 | San Donato Tavarnelle(home) | 0-4 | Serie D - Girone E |
| Dec 12, 2021 | Sangiovannese(away) | 1-2 | Serie D - Girone E |
| Dec 4, 2021 | Gavorrano(away) | 0-1 | Serie D - Girone E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2022 | Cannara(home) | 2-1 | Serie D - Girone E |
| Jan 12, 2022 | Pianese(away) | 0-2 | Serie D - Girone E |
| Dec 12, 2021 | Pro Livorno(home) | 2-2 | Serie D - Girone E |
| Dec 8, 2021 | Poggibonsi(away) | 0-2 | Serie D - Girone E |
| Dec 4, 2021 | San Donato Tavarnelle(away) | 1-3 | Serie D - Girone E |
How many goals should we expect?
Scandicci score 1.1 and concede 1.4 goals per match over their last 15; Tiferno Lerchi score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Scandicci | 1.1 | 1.4 | 3 | 9/15 | 10/15 |
| Tiferno Lerchi | 1.1 | 1.3 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Scandicci | 34 | 11 | 15 | 8 | 39 | 32 | 48 |
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