San Donato Tavarnelle vs Pontedera: result 1-2 and analysis
Serie C - Girone BGirone B - 10Kick-off on October 23, 2022 at 03:30 PM (UTC)Stadio Comunale Pianigiani, Tavarnelle Val di Pesa
Full time
What was the result of San Donato Tavarnelle vs Pontedera?
Pontedera won 1-2 on October 23, 2022.
Goalscorers
- 16′L. BorghiSan Donato Tavarnelle
- 65′F. NicastroPontedera
- 71′F. NicastroPontedera
What is the recent form of both teams?
Over their last 15 matches in all competitions, San Donato Tavarnelle have 3 wins, 5 draws and 7 defeats; Pontedera have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2022 | Fermana(away) | 1-1 | Serie C - Girone B |
| Oct 16, 2022 | Alessandria(home) | 0-1 | Serie C - Girone B |
| Oct 9, 2022 | Vis Pesaro(away) | 0-1 | Serie C - Girone B |
| Oct 5, 2022 | Viterbese(away) | 0-2 | Coppa Italia Serie C |
| Oct 2, 2022 | Lucchese(home) | 0-2 | Serie C - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2022 | Recanatese(home) | 0-0 | Serie C - Girone B |
| Oct 16, 2022 | Carrarese(away) | 0-1 | Serie C - Girone B |
| Oct 9, 2022 | Alessandria(away) | 3-2 | Serie C - Girone B |
| Oct 5, 2022 | Robur Siena(away) | 1-0 | Coppa Italia Serie C |
| Oct 1, 2022 | Robur Siena(home) | 0-2 | Serie C - Girone B |
How many goals should we expect?
San Donato Tavarnelle score 0.7 and concede 1.3 goals per match over their last 15; Pontedera score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Donato Tavarnelle | 0.7 | 1.3 | 2 | 7/15 | 4/15 |
| Pontedera | 0.7 | 1.5 | 2 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 19 | Pontedera | 36 | 3 | 11 | 22 | 27 | 62 | 20 |
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