Budoni vs Cavese: result 1-2 and analysis
Serie D - Girone GGroup G - 12Kick-off on November 19, 2023 at 01:00 PM (UTC)Stadio Comunale San Teodoro, San Teodoro
Full time
What was the result of Budoni vs Cavese?
Cavese won 1-2 on November 19, 2023.
Goalscorers
- 15′Simone AddessiCavese
- 27′M. Di PiazzaCavese (pen.)
- 55′?Budoni
What is the recent form of both teams?
Over their last 15 matches in all competitions, Budoni have 3 wins, 5 draws and 7 defeats; Cavese have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2023 | Ardea(home) | 0-1 | Serie D - Girone G |
| Nov 5, 2023 | Sarrabus Ogliastra(away) | 0-0 | Serie D - Girone G |
| Nov 1, 2023 | Ostia Mare(home) | 3-1 | Serie D - Girone G |
| Oct 28, 2023 | Flaminia(away) | 0-1 | Serie D - Girone G |
| Oct 22, 2023 | Gladiator(home) | 2-2 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2023 | Rotonda(home) | 3-0 | Coppa Italia Serie D |
| Nov 12, 2023 | Flaminia(home) | 3-1 | Serie D - Girone G |
| Nov 5, 2023 | Ardea(away) | 0-0 | Serie D - Girone G |
| Nov 1, 2023 | Nocerina(home) | 2-1 | Serie D - Girone G |
| Oct 28, 2023 | Ostia Mare(away) | 2-1 | Serie D - Girone G |
How many goals should we expect?
Budoni score 0.8 and concede 1.7 goals per match over their last 15; Cavese score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Budoni | 0.8 | 1.7 | 3 | 6/15 | 8/15 |
| Cavese | 1.7 | 0.7 | 7 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Budoni | 6 | 2 | 1 | 3 | 10 | 13 | 7 |
A question about Budoni vs Cavese?
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