Maceratese vs Unipomezia: result 2-1 and analysis
Serie D - Girone FGroup F - 15Kick-off on December 7, 2025 at 02:00 PM (UTC)Stadio Helvia Recina, Macerata
Full time
What was the result of Maceratese vs Unipomezia?
Maceratese won 2-1 on December 7, 2025.
Goalscorers
- 10′557158Maceratese
- 26′627297Unipomezia
- 77′565985Maceratese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maceratese have 5 wins, 2 draws and 8 defeats; Unipomezia have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2025 | Recanatese(away) | 2-2 | Serie D - Girone F |
| Nov 23, 2025 | Castelfidardo Calcio(home) | 2-0 | Serie D - Girone F |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2025 | Ancona(home) | 1-1 | Coppa Italia Serie D |
| Nov 30, 2025 | Chieti(home) | 0-0 | Serie D - Girone F |
| Nov 23, 2025 | Real Giulianova(away) | 1-2 | Serie D - Girone F |
| Nov 19, 2025 | Notaresco(away) | 1-0 | Coppa Italia Serie D |
| Nov 16, 2025 | Castelfidardo Calcio(away) | 3-2 | Serie D - Girone F |
How many goals should we expect?
Maceratese score 1.3 and concede 1.8 goals per match over their last 15; Unipomezia score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maceratese | 1.3 | 1.8 | 3 | 10/15 | 11/15 |
| Unipomezia | 1.1 | 1.1 | 7 | 6/15 | 4/15 |
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 Unipomezia?
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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