Sant'Angelo vs Pistoiese: result 0-1 and analysis
Serie D - Girone DGroup D - 4Kick-off on September 21, 2022 at 01:00 PM (UTC)Stadio Carlo Chiesa, Sant'Angelo Lodigiano
Full time
What was the result of Sant'Angelo vs Pistoiese?
Pistoiese won 0-1 on September 21, 2022.
Goalscorers
- 17′?Pistoiese
What is the recent form of both teams?
Over their last 4 matches in all competitions, Sant'Angelo have 1 wins, 0 draws and 3 defeats; Pistoiese 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 |
|---|---|---|---|
| Sep 18, 2022 | Athletic Carpi(away) | 1-5 | Serie D - Girone D |
| Sep 11, 2022 | Forli(home) | 0-1 | Serie D - Girone D |
| Sep 4, 2022 | Bagnolese BP(away) | 3-0 | Serie D - Girone D |
| Aug 21, 2022 | Fanfulla(away) | 1-2 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2022 | Crema(home) | 1-1 | Serie D - Girone D |
| Sep 11, 2022 | Mezzolara(away) | 0-0 | Serie D - Girone D |
| Sep 4, 2022 | United Riccione(home) | 0-0 | Serie D - Girone D |
| Aug 28, 2022 | Aglianese(home) | 2-1 | Coppa Italia Serie D |
| Aug 21, 2022 | Ponsacco(home) | 2-1 | Coppa Italia Serie D |
How many goals should we expect?
Sant'Angelo score 1.3 and concede 2.0 goals per match over their last 4; Pistoiese score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sant'Angelo | 1.3 | 2.0 | 1 | 2/4 | 3/4 |
| Pistoiese | 1.2 | 1.3 | 4 | 10/15 | 9/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Sant'Angelo sit 10th in Serie D - Girone D (39 points from 34 matches) and Pistoiese sit 3rd (68 points from 33 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Pistoiese | 33 | 19 | 11 | 3 | 56 | 22 | 68 |
| 10 | Sant'Angelo | 34 | 10 | 9 | 15 | 38 | 51 | 39 |
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