Real Giulianova vs Sora: result 2-1 and analysis
Serie D - Girone FGroup F - 1Kick-off on September 7, 2025 at 01:00 PM (UTC)Stadio Rubens Fadini, Giulianova
Full time
What was the result of Real Giulianova vs Sora?
Real Giulianova won 2-1 on September 7, 2025.
Goalscorers
- 19′623924Real Giulianova
- 37′M. TrottaSora
- 42′623924Real Giulianova
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Giulianova have 3 wins, 6 draws and 6 defeats; Sora have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2025 | Notaresco(away) | 0-1 | Coppa Italia Serie D |
| Mar 1, 2020 | Chieti(away) | 2-1 | Serie D - Girone F |
| Feb 23, 2020 | Atletico Terme Fiuggi(home) | 1-0 | Serie D - Girone F |
| Feb 16, 2020 | Cattolica(home) | 1-1 | Serie D - Girone F |
| Feb 9, 2020 | Recanatese(away) | 2-3 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2025 | Albalonga(away) | 0-2 | Coppa Italia Serie D |
| Aug 24, 2025 | Atletico Lodigiani(away) | 1-1 | Coppa Italia Serie D |
| May 11, 2025 | Roma City(home) | 1-0 | Serie D - Relegation - Play-offs |
| May 4, 2025 | Atletico Ascoli(away) | 2-0 | Serie D - Girone F |
| Apr 27, 2025 | L'Aquila(home) | 0-2 | Serie D - Girone F |
How many goals should we expect?
Real Giulianova score 1.1 and concede 1.3 goals per match over their last 15; Sora score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Giulianova | 1.1 | 1.3 | 2 | 10/15 | 6/15 |
| Sora | 1.0 | 1.0 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Real Giulianova | 7 | 2 | 1 | 4 | 10 | 11 | 7 |
A question about Real Giulianova vs Sora?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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