Latina vs Casertana: result 1-0 and analysis
Coppa Italia Serie C1st RoundKick-off on October 4, 2023 at 06:45 PM (UTC)Stadio Comunale Domenico Francioni, Latina
Full time
What was the result of Latina vs Casertana?
Latina won 1-0 on October 4, 2023.
Goalscorers
- 62′?Latina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Latina have 6 wins, 4 draws and 5 defeats; Casertana have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2023 | Brindisi(home) | 1-3 | Serie C - Girone C |
| Sep 25, 2023 | Giugliano(away) | 3-0 | Serie C - Girone C |
| Sep 21, 2023 | Casertana(home) | 1-1 | Serie C - Girone C |
| Sep 18, 2023 | Guidonia Montecelio 1937(away) | 2-2 | Serie C - Girone C |
| Sep 10, 2023 | Potenza(home) | 2-1 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2023 | Catania(home) | 0-4 | Serie C - Girone C |
| Sep 27, 2023 | SS Monopoli(home) | 1-1 | Serie C - Girone C |
| Sep 24, 2023 | Potenza(away) | 1-1 | Serie C - Girone C |
| Sep 21, 2023 | Latina(away) | 1-1 | Serie C - Girone C |
| Sep 17, 2023 | Benevento(home) | 0-0 | Serie C - Girone C |
What does the head-to-head say?
In the last meeting: 0 Latina wins, 1 draw, 0 Casertana wins.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2023 | Latina 1-1 Casertana | Serie C - Girone C |
How many goals should we expect?
Latina score 1.5 and concede 1.7 goals per match over their last 15; Casertana score 1.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Latina | 1.5 | 1.7 | 4 | 9/15 | 10/15 |
| Casertana | 1.4 | 1.4 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Latina vs Casertana?
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