Sant'Angelo vs Victor San Marino: result 0-1 and analysis
Serie D - Girone DGroup D - 4Kick-off on October 1, 2023 at 01:00 PM (UTC)Stadio Carlo Chiesa, Sant'Angelo Lodigiano
Full time
What was the result of Sant'Angelo vs Victor San Marino?
Victor San Marino won 0-1 on October 1, 2023.
Goalscorers
- 63′?Victor San Marino
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sant'Angelo have 5 wins, 4 draws and 6 defeats; Victor San Marino have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2023 | Ravenna(away) | 1-2 | Serie D - Girone D |
| Sep 17, 2023 | Lentigione(home) | 1-3 | Serie D - Girone D |
| Sep 10, 2023 | Corticella(away) | 3-1 | Serie D - Girone D |
| Aug 27, 2023 | Crema(away) | 1-2 | Coppa Italia Serie D |
| May 14, 2023 | Correggese(away) | 2-1 | Serie D - Relegation - Play-offs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2023 | Lentigione(home) | 1-0 | Serie D - Girone D |
| Sep 17, 2023 | Pistoiese(away) | 1-2 | Serie D - Girone D |
| Sep 13, 2023 | Fanfulla(home) | 1-1 | Serie D - Girone D |
| Aug 27, 2023 | Imolese(away) | 0-1 | Coppa Italia Serie D |
| Jul 29, 2023 | Rimini(away) | 0-2 | Friendlies Clubs |
How many goals should we expect?
Sant'Angelo score 1.0 and concede 1.1 goals per match over their last 15; Victor San Marino score 0.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sant'Angelo | 1.0 | 1.1 | 5 | 8/15 | 6/15 |
| Victor San Marino | 0.6 | 1.2 | 1 | 2/5 | 1/5 |
Over the last 15 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 Victor San Marino?
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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