Real Monterotondo vs Notaresco: result 1-0 and analysis
Serie D - Girone FGroup F - 12Kick-off on November 19, 2023 at 01:30 PM (UTC)Stadio Ottavio Pierangeli, Monterotondo
Full time
What was the result of Real Monterotondo vs Notaresco?
Real Monterotondo won 1-0 on November 19, 2023.
Goalscorers
- 56′Stefano NapoleoniReal Monterotondo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Monterotondo have 5 wins, 3 draws and 7 defeats; Notaresco have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2023 | Tivoli(away) | 3-1 | Serie D - Girone F |
| Nov 5, 2023 | United Riccione(home) | 1-5 | Serie D - Girone F |
| Nov 1, 2023 | Roma City(away) | 0-4 | Serie D - Girone F |
| Oct 28, 2023 | Sambenedettese(home) | 0-2 | Serie D - Girone F |
| Oct 22, 2023 | Vigor Senigallia(away) | 0-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2023 | Termoli Calcio(home) | 0-0 | Serie D - Girone F |
| Nov 5, 2023 | Sambenedettese(home) | 1-1 | Serie D - Girone F |
| Nov 1, 2023 | United Riccione(away) | 1-0 | Serie D - Girone F |
| Oct 28, 2023 | Fossombrone(home) | 0-0 | Serie D - Girone F |
| Oct 22, 2023 | Vastogirardi(away) | 2-1 | Serie D - Girone F |
How many goals should we expect?
Real Monterotondo score 1.4 and concede 1.9 goals per match over their last 15; Notaresco score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Monterotondo | 1.4 | 1.9 | 2 | 8/15 | 8/15 |
| Notaresco | 1.2 | 1.5 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Notaresco | 10 | 4 | 4 | 2 | 13 | 9 | 16 |
A question about Real Monterotondo vs Notaresco?
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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