Ladispoli vs Latte Dolce: result 0-1 and analysis
Serie D - Girone GRegular Season - 8Kick-off on October 20, 2019 at 01:00 PM (UTC)Stadio Angelo Sale, Ladispoli
Full time
What was the result of Ladispoli vs Latte Dolce?
Latte Dolce won 0-1 on October 20, 2019.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Ladispoli have 1 win, 0 draws and 6 defeats; Latte Dolce have 6, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Ostia Mare(away) | 0-1 | Serie D - Girone G |
| Oct 6, 2019 | Aprilia(home) | 1-2 | Serie D - Girone G |
| Sep 29, 2019 | Budoni(away) | 2-0 | Serie D - Girone G |
| Sep 22, 2019 | Vis Artena(away) | 1-3 | Serie D - Girone G |
| Sep 15, 2019 | Turris(home) | 2-3 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Aprilia(home) | 3-1 | Serie D - Girone G |
| Oct 5, 2019 | Trastevere(away) | 1-0 | Serie D - Girone G |
| Sep 29, 2019 | Vis Artena(home) | 2-1 | Serie D - Girone G |
| Sep 22, 2019 | Arzachena(away) | 4-2 | Serie D - Girone G |
| Sep 15, 2019 | Team Nuova Florida(home) | 3-0 | Serie D - Girone G |
How many goals should we expect?
Ladispoli score 1.1 and concede 1.9 goals per match over their last 7; Latte Dolce score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ladispoli | 1.1 | 1.9 | 1 | 4/7 | 4/7 |
| Latte Dolce | 2.1 | 0.9 | 3 | 4/7 | 5/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Latte Dolce | 6 | 1 | 2 | 3 | 7 | 11 | 5 |
A question about Ladispoli vs Latte Dolce?
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