Termoli Calcio vs Matese: result 2-2 and analysis
Serie D - Girone FGroup F - 9Kick-off on October 30, 2022 at 01:30 PM (UTC)Stadio Gino Cannarsa, Termoli
Full time
What was the result of Termoli Calcio vs Matese?
Termoli Calcio and Matese drew 2-2 on October 30, 2022.
Goalscorers
- 7′Vittorio EspositoMatese
- 41′N. SmajlajTermoli Calcio
- 56′?Termoli Calcio
- 60′Vittorio EspositoMatese
What is the recent form of both teams?
Over their last 9 matches in all competitions, Termoli Calcio have 0 wins, 4 draws and 5 defeats; Matese have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | AJ Fano(away) | 1-1 | Serie D - Girone F |
| Oct 16, 2022 | Avezzano(away) | 1-1 | Serie D - Girone F |
| Oct 9, 2022 | Vastese(home) | 1-1 | Serie D - Girone F |
| Oct 2, 2022 | Roma City(away) | 1-2 | Serie D - Girone F |
| Sep 28, 2022 | Porto D' Ascoli(home) | 1-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Vastese(home) | 2-0 | Serie D - Girone F |
| Oct 16, 2022 | Roma City(away) | 2-1 | Serie D - Girone F |
| Oct 9, 2022 | Porto D' Ascoli(home) | 4-1 | Serie D - Girone F |
| Oct 2, 2022 | Trastevere(away) | 2-3 | Serie D - Girone F |
| Sep 28, 2022 | Tolentino(home) | 1-3 | Serie D - Girone F |
How many goals should we expect?
Termoli Calcio score 1.2 and concede 2.1 goals per match over their last 9; Matese score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Termoli Calcio | 1.2 | 2.1 | 0 | 9/9 | 5/9 |
| Matese | 1.7 | 1.5 | 2 | 10/15 | 12/15 |
Over the last 9 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