Sant'Angelo vs Prato: result 1-1 and analysis
Serie D - Girone DGroup D - 5Kick-off on September 28, 2022 at 01:00 PM (UTC)Stadio Carlo Chiesa, Sant'Angelo Lodigiano
Full time
What was the result of Sant'Angelo vs Prato?
Sant'Angelo and Prato drew 1-1 on September 28, 2022.
Goalscorers
- 14′?Prato
- 33′?Sant'Angelo
What is the recent form of both teams?
Over their last 5 matches in all competitions, Sant'Angelo have 1 win, 0 draws and 4 defeats; Prato have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2022 | Pistoiese(home) | 0-1 | Serie D - Girone D |
| 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 21, 2022 | Athletic Carpi(home) | 0-2 | Serie D - Girone D |
| Sep 17, 2022 | Forli(away) | 2-2 | Serie D - Girone D |
| Sep 11, 2022 | Bagnolese BP(home) | 1-0 | Serie D - Girone D |
| Sep 4, 2022 | Ravenna(away) | 2-1 | Serie D - Girone D |
| Aug 27, 2022 | Scandicci(away) | 1-1 | Coppa Italia Serie D |
How many goals should we expect?
Sant'Angelo score 1.0 and concede 1.8 goals per match over their last 5; Prato score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sant'Angelo | 1.0 | 1.8 | 1 | 2/5 | 3/5 |
| Prato | 1.4 | 1.1 | 4 | 9/15 | 6/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sant'Angelo | 7 | 2 | 2 | 3 | 7 | 8 | 8 |
A question about Sant'Angelo vs Prato?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy