Vibonese vs Santa Maria Cilento: result 3-1 and analysis
Serie D - Girone IGroup I - 15Kick-off on December 11, 2022 at 01:30 PM (UTC)Stadio Luigi Razza, Vibo Valentia
Full time
What was the result of Vibonese vs Santa Maria Cilento?
Vibonese won 3-1 on December 11, 2022.
Goalscorers
- 23′?Vibonese
- 28′Salvatore TazzaVibonese
- 56′?Santa Maria Cilento
- 90′?Vibonese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vibonese have 6 wins, 4 draws and 5 defeats; Santa Maria Cilento 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 |
|---|---|---|---|
| Dec 4, 2022 | Real Normanna(away) | 0-1 | Serie D - Girone I |
| Nov 27, 2022 | Sancataldese(home) | 1-1 | Serie D - Girone I |
| Nov 20, 2022 | Acireale(away) | 0-0 | Serie D - Girone I |
| Nov 13, 2022 | Lamezia Terme(home) | 1-1 | Serie D - Girone I |
| Nov 6, 2022 | Canicattì(away) | 2-0 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2022 | San Luca(away) | 2-2 | Serie D - Girone I |
| Nov 23, 2022 | Real Normanna(home) | 0-0 | Serie D - Girone I |
| Nov 20, 2022 | Ragusa(home) | 3-4 | Serie D - Girone I |
| Nov 13, 2022 | Trapani 1905(away) | 1-2 | Serie D - Girone I |
| Nov 6, 2022 | Castrovillari(away) | 1-1 | Serie D - Girone I |
How many goals should we expect?
Vibonese score 1.4 and concede 1.3 goals per match over their last 15; Santa Maria Cilento score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vibonese | 1.4 | 1.3 | 4 | 9/15 | 7/15 |
| Santa Maria Cilento | 1.1 | 1.3 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Vibonese | 8 | 4 | 3 | 1 | 17 | 7 | 15 |
A question about Vibonese vs Santa Maria Cilento?
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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