Albalonga vs Montespaccato: result 3-2 and analysis
Serie D - Girone GGroup G - 6Kick-off on October 5, 2025 at 01:00 PM (UTC)Stadio Pio XII, Albano Laziale
Full time
What was the result of Albalonga vs Montespaccato?
Albalonga won 3-2 on October 5, 2025.
Goalscorers
- 28′565964Albalonga
- 53′565964Albalonga
- 73′573230Montespaccato
- 86′573231Montespaccato
- 90′573232Albalonga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Albalonga have 5 wins, 6 draws and 4 defeats; Montespaccato have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | Budoni(away) | 1-1 | Serie D - Girone G |
| Sep 24, 2025 | USD Palmese(home) | 3-3 | Serie D - Girone G |
| Sep 20, 2025 | Nocerina(away) | 2-1 | Serie D - Girone G |
| Sep 14, 2025 | Anzio(away) | 0-0 | Serie D - Girone G |
| Sep 7, 2025 | Olbia(home) | 1-1 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | USD Palmese(home) | 1-1 | Serie D - Girone G |
| Sep 24, 2025 | Trastevere(away) | 1-2 | Serie D - Girone G |
| Sep 21, 2025 | Anzio(home) | 1-2 | Serie D - Girone G |
| Sep 14, 2025 | Monastir(away) | 0-2 | Serie D - Girone G |
| Sep 7, 2025 | Scafatese(home) | 0-2 | Serie D - Girone G |
How many goals should we expect?
Albalonga score 1.2 and concede 1.3 goals per match over their last 15; Montespaccato score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Albalonga | 1.2 | 1.3 | 4 | 7/15 | 5/15 |
| Montespaccato | 1.1 | 1.7 | 1 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Albalonga | 6 | 2 | 2 | 2 | 9 | 9 | 8 |
A question about Albalonga vs Montespaccato?
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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