Lupa Roma vs Real Monterotondo: result 1-2 and analysis
Serie D - Girone GGroup G · Matchday 2Kick-off on September 11, 2022 at 01:00 PM (UTC)Stadio Montefiore, Rocca Priora
Full time
What was the result of Lupa Roma vs Real Monterotondo?
Real Monterotondo won 1-2 on September 11, 2022.
Goalscorers
- 38′?Lupa Roma
- 40′?Real Monterotondo
- 57′?Real Monterotondo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lupa Roma have 3 wins, 5 draws and 7 defeats; Real Monterotondo have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Tivoli(away) | 0-1 | Serie D - Girone G |
| Aug 28, 2022 | Ostia Mare(home) | 2-0 | Coppa Italia Serie D |
| Aug 21, 2022 | Pomezia(home) | 2-0 | Coppa Italia Serie D |
| May 6, 2017 | Carrarese(away) | 0-0 | Serie C - Girone A |
| Apr 29, 2017 | Alessandria(home) | 1-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Sorrento(home) | 3-2 | Serie D - Girone G |
| Aug 21, 2022 | Tivoli(away) | 0-2 | Coppa Italia Serie D |
| May 25, 2022 | Vis Artena(away) | 3-0 | Serie D - Girone G |
| May 22, 2022 | Albalonga(home) | 2-2 | Serie D - Girone G |
| May 18, 2022 | Giugliano(home) | 0-3 | Serie D - Girone G |
How many goals should we expect?
Lupa Roma score 0.8 and concede 0.9 goals per match over their last 15; Real Monterotondo score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lupa Roma | 0.8 | 0.9 | 5 | 6/15 | 4/15 |
| Real Monterotondo | 1.9 | 1.7 | 1 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Real Monterotondo | 34 | 10 | 6 | 18 | 39 | 58 | 36 |
A question about Lupa Roma vs Real Monterotondo?
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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