San Marzano vs Albalonga: result 0-2 and analysis
Serie D - Girone GGroup G - 19Kick-off on January 14, 2024 at 01:30 PM (UTC)Stadio Comunale Di Palma Campania, Palma Campania
Full time
What was the result of San Marzano vs Albalonga?
Albalonga won 0-2 on January 14, 2024.
Goalscorers
- 20′?Albalonga
- 74′Riccardo DoratiottoAlbalonga
What is the recent form of both teams?
Over their last 15 matches in all competitions, San Marzano have 5 wins, 9 draws and 1 defeat; Albalonga have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 7, 2024 | Anzio(away) | 0-1 | Serie D - Girone G |
| Dec 20, 2023 | Cavese(home) | 0-0 | Serie D - Girone G |
| Dec 16, 2023 | Boreale(away) | 3-0 | Serie D - Girone G |
| Dec 10, 2023 | Sarrabus Ogliastra(home) | 2-2 | Serie D - Girone G |
| Dec 3, 2023 | Budoni(away) | 2-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 7, 2024 | Nocerina(home) | 1-2 | Serie D - Girone G |
| Dec 20, 2023 | Boreale(home) | 1-1 | Serie D - Girone G |
| Dec 16, 2023 | Gladiator(away) | 1-0 | Serie D - Girone G |
| Dec 10, 2023 | Cavese(home) | 0-1 | Serie D - Girone G |
| Dec 3, 2023 | Trastevere(away) | 0-0 | Serie D - Girone G |
What does the head-to-head say?
In the last meeting: 0 San Marzano wins, 0 draws, 1 Albalonga win.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2023 | Albalonga 2-0 San Marzano | Serie D - Girone G |
Last archived meeting: Albalonga vs San Marzano on Sep 17, 2023
How many goals should we expect?
San Marzano score 1.7 and concede 0.9 goals per match over their last 15; Albalonga score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Marzano | 1.7 | 0.9 | 5 | 9/15 | 7/15 |
| Albalonga | 0.9 | 0.8 | 6 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
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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