Termoli Calcio vs Sora: result 1-1 and analysis
Serie D - Girone FGroup F - 6Kick-off on October 15, 2023 at 01:00 PM (UTC)Stadio Gino Cannarsa, Termoli
Full time
What was the result of Termoli Calcio vs Sora?
Termoli Calcio and Sora drew 1-1 on October 15, 2023.
Goalscorers
- 15′?Termoli Calcio
- 44′56537Sora
What is the recent form of both teams?
Over their last 15 matches in all competitions, Termoli Calcio have 3 wins, 5 draws and 7 defeats; Sora have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | AJ Fano(away) | 0-1 | Serie D - Girone F |
| Oct 1, 2023 | Roma City(home) | 2-4 | Serie D - Girone F |
| Sep 24, 2023 | Tivoli(away) | 1-2 | Serie D - Girone F |
| Sep 17, 2023 | Atletico Ascoli(home) | 1-0 | Serie D - Girone F |
| Sep 10, 2023 | Vigor Senigallia(away) | 1-3 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Chieti(home) | 0-0 | Serie D - Girone F |
| Oct 1, 2023 | United Riccione(away) | 2-1 | Serie D - Girone F |
| Sep 24, 2023 | Notaresco(home) | 1-0 | Serie D - Girone F |
| Sep 17, 2023 | Vastogirardi(away) | 0-1 | Serie D - Girone F |
| Sep 10, 2023 | Sambenedettese(home) | 1-3 | Serie D - Girone F |
How many goals should we expect?
Termoli Calcio score 0.7 and concede 1.1 goals per match over their last 15; Sora score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Termoli Calcio | 0.7 | 1.1 | 7 | 6/15 | 6/15 |
| Sora | 0.8 | 1.2 | 2 | 3/6 | 3/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Termoli Calcio | 7 | 3 | 1 | 3 | 6 | 6 | 10 |
A question about Termoli Calcio vs Sora?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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