Maceratese vs Castelfidardo Calcio: result 2-0 and analysis
Serie D - Girone FGroup F - 13Kick-off on November 23, 2025 at 02:00 PM (UTC)Stadio Helvia Recina, Macerata
Full time
What was the result of Maceratese vs Castelfidardo Calcio?
Maceratese won 2-0 on November 23, 2025.
Goalscorers
- 38′631498Maceratese
- 71′631499Maceratese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maceratese have 5 wins, 1 draw and 9 defeats; Castelfidardo Calcio have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2025 | Victor San Marino(away) | 1-2 | Serie D - Girone F |
| Nov 9, 2025 | Atletico Ascoli(home) | 3-1 | Serie D - Girone F |
| Nov 2, 2025 | Termoli Calcio(away) | 2-2 | Serie D - Girone F |
| Oct 26, 2025 | Ancona(home) | 1-5 | Serie D - Girone F |
| Oct 19, 2025 | Notaresco(away) | 1-2 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2025 | Unipomezia(home) | 2-3 | Serie D - Girone F |
| Nov 9, 2025 | Chieti(away) | 2-1 | Serie D - Girone F |
| Nov 2, 2025 | Recanatese(away) | 1-3 | Serie D - Girone F |
| Oct 26, 2025 | Ostia Mare(home) | 0-3 | Serie D - Girone F |
| Oct 19, 2025 | Victor San Marino(away) | 0-1 | Serie D - Girone F |
How many goals should we expect?
Maceratese score 1.3 and concede 2.0 goals per match over their last 15; Castelfidardo Calcio score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maceratese | 1.3 | 2.0 | 3 | 10/15 | 11/15 |
| Castelfidardo Calcio | 0.9 | 1.9 | 2 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Maceratese | 7 | 2 | 1 | 4 | 7 | 11 | 7 |
A question about Maceratese vs Castelfidardo Calcio?
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