Recanatese vs Ostia Mare: result 1-3 and analysis
Serie D - Girone FGroup F - 7Kick-off on October 12, 2025 at 01:00 PM (UTC)Stadio Nicola Tubaldi, Recanati
Full time
What was the result of Recanatese vs Ostia Mare?
Ostia Mare won 1-3 on October 12, 2025.
Goalscorers
- 45′P. GiordaniOstia Mare
- 55′S. VianniOstia Mare
- 79′578783Ostia Mare
- 87′578784Recanatese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Recanatese have 3 wins, 3 draws and 9 defeats; Ostia Mare have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Ancona(away) | 0-2 | Serie D - Girone F |
| Sep 28, 2025 | Victor San Marino(home) | 0-2 | Serie D - Girone F |
| Sep 24, 2025 | L'Aquila(away) | 1-2 | Serie D - Girone F |
| Sep 21, 2025 | Termoli Calcio(home) | 1-1 | Serie D - Girone F |
| Sep 14, 2025 | Sammaurese(away) | 4-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Sora(home) | 3-1 | Serie D - Girone F |
| Sep 28, 2025 | Atletico Ascoli(away) | 2-0 | Serie D - Girone F |
| Sep 24, 2025 | Vigor Senigallia(home) | 1-0 | Serie D - Girone F |
| Sep 21, 2025 | Victor San Marino(away) | 2-1 | Serie D - Girone F |
| Sep 14, 2025 | Maceratese(home) | 2-1 | Serie D - Girone F |
How many goals should we expect?
Recanatese score 1.0 and concede 1.8 goals per match over their last 15; Ostia Mare score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Recanatese | 1.0 | 1.8 | 2 | 10/15 | 7/15 |
| Ostia Mare | 1.5 | 1.1 | 6 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Recanatese | 7 | 1 | 3 | 3 | 9 | 11 | 6 |
A question about Recanatese vs Ostia Mare?
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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