Albalonga vs Termoli Calcio: result 2-0 and analysis
Serie D - Girone FGroup F - 14Kick-off on December 4, 2022 at 01:30 PM (UTC)Stadio Comunale, Genzano di Roma
Full time
What was the result of Albalonga vs Termoli Calcio?
Albalonga won 2-0 on December 4, 2022.
Goalscorers
- 10′?Albalonga
- 90′?Albalonga
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; Termoli Calcio have 0, 8 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2022 | Vastese(away) | 1-3 | Serie D - Girone F |
| Nov 20, 2022 | Roma City(home) | 0-0 | Serie D - Girone F |
| Nov 13, 2022 | Porto D' Ascoli(away) | 1-1 | Serie D - Girone F |
| Nov 6, 2022 | Trastevere(home) | 1-1 | Serie D - Girone F |
| Oct 30, 2022 | Tolentino(away) | 3-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2022 | Montegiorgio(home) | 1-1 | Serie D - Girone F |
| Nov 20, 2022 | Sambenedettese(away) | 0-3 | Serie D - Girone F |
| Nov 13, 2022 | Vigor Senigallia(home) | 0-0 | Serie D - Girone F |
| Nov 6, 2022 | Vastogirardi(away) | 1-1 | Serie D - Girone F |
| Oct 30, 2022 | Matese(home) | 2-2 | Serie D - Girone F |
How many goals should we expect?
Albalonga score 1.3 and concede 1.1 goals per match over their last 15; Termoli Calcio score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Albalonga | 1.3 | 1.1 | 5 | 8/15 | 4/15 |
| Termoli Calcio | 1.1 | 1.9 | 1 | 12/14 | 7/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Termoli Calcio | 34 | 8 | 15 | 11 | 27 | 30 | 39 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy