Cassino vs Ladispoli: result 1-0 and analysis
Serie D - Girone GRegular Season - 9Kick-off on October 27, 2019 at 12:30 PM (UTC)Stadio Comunale Gino Salvetti, Cassino
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What was the result of Cassino vs Ladispoli?
Cassino won 1-0 on October 27, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Cassino have 3 wins, 3 draws and 2 defeats; Ladispoli have 1, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Team Nuova Florida(away) | 1-2 | Serie D - Girone G |
| Oct 13, 2019 | Trastevere(home) | 1-3 | Serie D - Girone G |
| Oct 6, 2019 | Torres(away) | 1-1 | Serie D - Girone G |
| Sep 29, 2019 | Arzachena(home) | 1-1 | Serie D - Girone G |
| Sep 22, 2019 | Muravera(away) | 2-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Latte Dolce(home) | 0-1 | Serie D - Girone G |
| 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 |
How many goals should we expect?
Cassino score 1.6 and concede 1.5 goals per match over their last 8; Ladispoli score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cassino | 1.6 | 1.5 | 1 | 7/8 | 5/8 |
| Ladispoli | 1.0 | 1.8 | 1 | 4/8 | 4/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Cassino | 34 | 4 | 9 | 21 | 24 | 56 | 21 |
A question about Cassino vs Ladispoli?
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