Termoli Calcio vs Ostia Mare: result 0-1 and analysis
Serie D - Girone FGroup F - 16Kick-off on December 14, 2025 at 01:30 PM (UTC)Stadio Gino Cannarsa, Termoli
Full time
What was the result of Termoli Calcio vs Ostia Mare?
Ostia Mare won 0-1 on December 14, 2025.
Goalscorers
- 1′S. VianniOstia Mare
What is the recent form of both teams?
Over their last 15 matches in all competitions, Termoli Calcio have 3 wins, 9 draws and 3 defeats; Ostia Mare have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2025 | Notaresco(away) | 1-1 | Serie D - Girone F |
| Nov 30, 2025 | Teramo(home) | 0-0 | Serie D - Girone F |
| Nov 23, 2025 | Sammaurese(away) | 1-0 | Serie D - Girone F |
| Nov 16, 2025 | Sora(home) | 0-0 | Serie D - Girone F |
| Nov 9, 2025 | Fossombrone(away) | 0-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2025 | L'Aquila(away) | 1-3 | Serie D - Girone F |
| Nov 30, 2025 | Notaresco(home) | 0-0 | Serie D - Girone F |
| Nov 23, 2025 | Chieti(away) | 3-1 | Serie D - Girone F |
| Nov 16, 2025 | Sammaurese(home) | 7-0 | Serie D - Girone F |
| Nov 9, 2025 | Unipomezia(away) | 2-0 | Serie D - Girone F |
How many goals should we expect?
Termoli Calcio score 0.9 and concede 1.0 goals per match over their last 15; Ostia Mare score 2.2 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Termoli Calcio | 0.9 | 1.0 | 4 | 8/15 | 3/15 |
| Ostia Mare | 2.2 | 0.6 | 8 | 7/15 | 9/15 |
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 Ostia Mare?
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