Sangiovannese vs San Donato Tavarnelle: result 2-1 and analysis
Serie D - Girone ERegular Season - 13Kick-off on November 24, 2019 at 01:30 PM (UTC)Stadio Virgilio Fedini, San Giovanni Valdarno
Full time
What was the result of Sangiovannese vs San Donato Tavarnelle?
Sangiovannese won 2-1 on November 24, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Sangiovannese have 5 wins, 3 draws and 4 defeats; San Donato Tavarnelle have 3, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Tuttocuoio(away) | 1-1 | Serie D - Girone E |
| Nov 10, 2019 | Bastia Calcio(home) | 0-1 | Serie D - Girone E |
| Nov 3, 2019 | Sporting Trestina(away) | 0-3 | Serie D - Girone E |
| Oct 27, 2019 | Ponsacco(home) | 3-1 | Serie D - Girone E |
| Oct 20, 2019 | Grosseto(away) | 2-2 | Serie D - Girone E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Aglianese(home) | 0-0 | Serie D - Girone E |
| Nov 10, 2019 | Albalonga(away) | 0-2 | Serie D - Girone E |
| Nov 3, 2019 | Grassina(home) | 0-1 | Serie D - Girone E |
| Oct 27, 2019 | Bastia Calcio(away) | 1-0 | Serie D - Girone E |
| Oct 20, 2019 | Flaminia(home) | 1-1 | Serie D - Girone E |
How many goals should we expect?
Sangiovannese score 0.9 and concede 1.3 goals per match over their last 12; San Donato Tavarnelle score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sangiovannese | 0.9 | 1.3 | 4 | 4/12 | 5/12 |
| San Donato Tavarnelle | 0.9 | 1.2 | 4 | 4/12 | 4/12 |
Over the last 12 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | San Donato Tavarnelle | 34 | 9 | 13 | 12 | 30 | 35 | 40 |
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