Aglianese vs Sant'Angelo: result 2-2 and analysis
Serie D - Girone DGroup D - 14Kick-off on November 20, 2022 at 01:30 PM (UTC)Stadio Comunale Germano Bellucci, Agliana
Full time
What was the result of Aglianese vs Sant'Angelo?
Aglianese and Sant'Angelo drew 2-2 on November 20, 2022.
Goalscorers
- 13′?Sant'Angelo
- 26′?Sant'Angelo (pen.)
- 51′?Aglianese (pen.)
- 90′?Aglianese (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aglianese have 7 wins, 5 draws and 3 defeats; Sant'Angelo have 3, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | Salsomaggiore(away) | 3-1 | Serie D - Girone D |
| Nov 6, 2022 | Pistoiese(away) | 2-2 | Serie D - Girone D |
| Oct 30, 2022 | Scandicci(home) | 2-0 | Serie D - Girone D |
| Oct 23, 2022 | Correggese(away) | 1-1 | Serie D - Girone D |
| Oct 16, 2022 | Sammaurese(home) | 0-3 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | Ravenna(home) | 0-1 | Serie D - Girone D |
| Nov 6, 2022 | Crema(away) | 3-0 | Serie D - Girone D |
| Oct 30, 2022 | Lentigione(home) | 1-1 | Serie D - Girone D |
| Oct 23, 2022 | Scandicci(away) | 2-3 | Serie D - Girone D |
| Oct 16, 2022 | Mezzolara(home) | 2-0 | Serie D - Girone D |
How many goals should we expect?
Aglianese score 1.9 and concede 1.3 goals per match over their last 15; Sant'Angelo score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aglianese | 1.9 | 1.3 | 4 | 9/15 | 9/15 |
| Sant'Angelo | 1.1 | 1.7 | 4 | 7/14 | 7/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Sant'Angelo | 8 | 3 | 2 | 3 | 9 | 8 | 11 |
A question about Aglianese vs Sant'Angelo?
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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