Termoli Calcio vs Vastese: result 1-1 and analysis
Serie D - Girone FGroup F - 6Kick-off on October 9, 2022 at 01:00 PM (UTC)Stadio Gino Cannarsa, Termoli
Full time
What was the result of Termoli Calcio vs Vastese?
Termoli Calcio and Vastese drew 1-1 on October 9, 2022.
Goalscorers
- 10′?Termoli Calcio
- 55′Giovanni RicciardoVastese
What is the recent form of both teams?
Over their last 6 matches in all competitions, Termoli Calcio have 0 wins, 1 draws and 5 defeats; Vastese have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 18, 2022 | Trastevere(away) | 1-3 | Serie D - Girone F |
| Sep 11, 2022 | Tolentino(home) | 1-2 | Serie D - Girone F |
| Sep 4, 2022 | Pineto(away) | 3-4 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Avezzano(away) | 1-1 | Serie D - Girone F |
| Sep 28, 2022 | Roma City(home) | 5-2 | Serie D - Girone F |
| Sep 18, 2022 | Porto D' Ascoli(away) | 0-1 | Serie D - Girone F |
| Sep 11, 2022 | Trastevere(home) | 4-4 | Serie D - Girone F |
| Sep 4, 2022 | Tolentino(away) | 1-1 | Serie D - Girone F |
How many goals should we expect?
Termoli Calcio score 1.3 and concede 2.7 goals per match over their last 6; Vastese score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Termoli Calcio | 1.3 | 2.7 | 0 | 6/6 | 5/6 |
| Vastese | 1.5 | 1.1 | 5 | 8/15 | 6/15 |
Over the last 6 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