Real Monterotondo vs Sarnese: result 0-1 and analysis
Serie D - Girone GGroup G - 12Kick-off on November 17, 2024 at 01:30 PM (UTC)Stadio Ottavio Pierangeli, Monterotondo
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What was the result of Real Monterotondo vs Sarnese?
Sarnese won 0-1 on November 17, 2024.
Goalscorers
- 56′?Sarnese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Monterotondo have 6 wins, 2 draws and 7 defeats; Sarnese have 5, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2024 | Gelbison(away) | 1-2 | Serie D - Girone G |
| Nov 3, 2024 | Terracina Calcio(home) | 4-0 | Serie D - Girone G |
| Oct 27, 2024 | Albalonga(away) | 1-0 | Serie D - Girone G |
| Oct 23, 2024 | Sarrabus Ogliastra(home) | 4-2 | Serie D - Girone G |
| Oct 19, 2024 | Savoia(away) | 1-2 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2024 | Trastevere(home) | 4-2 | Serie D - Girone G |
| Nov 3, 2024 | Guidonia Montecelio 1937(away) | 1-1 | Serie D - Girone G |
| Oct 27, 2024 | Cassino(home) | 0-0 | Serie D - Girone G |
| Oct 23, 2024 | Ilvamaddalena(away) | 2-1 | Serie D - Girone G |
| Oct 19, 2024 | Anzio(home) | 1-0 | Serie D - Girone G |
How many goals should we expect?
Real Monterotondo score 1.5 and concede 1.3 goals per match over their last 15; Sarnese score 1.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Monterotondo | 1.5 | 1.3 | 6 | 7/15 | 10/15 |
| Sarnese | 1.2 | 0.8 | 5 | 6/13 | 4/13 |
Over the last 15 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Real Monterotondo | 34 | 10 | 6 | 18 | 39 | 58 | 36 |
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