L'Aquila vs Real Monterotondo: result 2-3 and analysis
Serie D - Girone FGroup F · Matchday 3Kick-off on September 24, 2023 at 01:00 PM (UTC)Stadio Gran Sasso d'Italia, L’Aquila
Full time
What was the result of L'Aquila vs Real Monterotondo?
Real Monterotondo won 2-3 on September 24, 2023.
Goalscorers
- 35′?Real Monterotondo
- 45′F. AngiulliL'Aquila
- 50′?L'Aquila
- 61′209747Real Monterotondo
- 63′?Real Monterotondo
What is the recent form of both teams?
Over their last 3 matches in all competitions, L'Aquila have 1 win, 1 draw and 1 defeat; Real Monterotondo have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2023 | Chieti(away) | 0-1 | Serie D - Girone F |
| Sep 10, 2023 | Matese(home) | 2-0 | Serie D - Girone F |
| Aug 27, 2023 | Notaresco(home) | 0-0 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2023 | Avezzano(home) | 0-3 | Serie D - Girone F |
| Sep 10, 2023 | Campobasso FC(away) | 1-3 | Serie D - Girone F |
| Sep 3, 2023 | Roma City(away) | 2-0 | Coppa Italia Serie D |
| May 7, 2023 | Sarrabus Ogliastra(home) | 5-2 | Serie D - Girone G |
| Apr 30, 2023 | Cassino(away) | 2-2 | Serie D - Girone G |
How many goals should we expect?
L'Aquila score 0.7 and concede 0.3 goals per match over their last 3; Real Monterotondo score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| L'Aquila | 0.7 | 0.3 | 2 | 0/3 | 0/3 |
| Real Monterotondo | 1.6 | 1.9 | 1 | 9/15 | 9/15 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | L'Aquila | 11 | 7 | 4 | 0 | 21 | 8 | 25 |
A question about L'Aquila vs Real Monterotondo?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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