Match

Cavese vs Nocerina: result 2-1 and analysis

Serie D - Girone GGroup G - 9Kick-off on November 1, 2023 at 01:30 PM (UTC)Stadio Comunale Simonetta Lamberti, Cava de' Tirreni

Cavese
2-1
Nocerina

Full time

What was the result of Cavese vs Nocerina?

Cavese won 2-1 on November 1, 2023.

Goalscorers

  • 9′?Nocerina
  • 69′F. UrsoCavese
  • 79′?Cavese

What is the recent form of both teams?

Over their last 15 matches in all competitions, Cavese have 9 wins, 0 draws and 6 defeats; Nocerina have 6, 5 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Cavese
DateOpponentScoreCompetition
Oct 28, 2023Ostia Mare(away)2-1Serie D - Girone G
Oct 22, 2023Trastevere(home)1-0Serie D - Girone G
Oct 15, 2023Gladiator(away)3-1Serie D - Girone G
Oct 8, 2023Atletico Uri(home)0-1Serie D - Girone G
Oct 1, 2023Ischia(away)3-2Serie D - Girone G
Nocerina
DateOpponentScoreCompetition
Oct 28, 2023Boreale(home)1-1Serie D - Girone G
Oct 22, 2023Sarrabus Ogliastra(away)2-3Serie D - Girone G
Oct 15, 2023Budoni(home)1-0Serie D - Girone G
Oct 8, 2023Flaminia(away)1-1Serie D - Girone G
Oct 1, 2023Ardea(home)2-2Serie D - Girone G

What does the head-to-head say?

Across the last 2 meetings: 1 Cavese win, 0 draws, 1 Nocerina win.

DateScoreCompetition
May 7, 2023Cavese 6-1 NocerinaSerie D - Girone H
Dec 21, 2022Nocerina 2-1 CaveseSerie D - Girone H

Last archived meeting: Cavese vs Nocerina on May 7, 2023

How many goals should we expect?

Cavese score 1.7 and concede 1.0 goals per match over their last 15; Nocerina score 1.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Cavese1.71.057/158/15
Nocerina1.71.7311/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
8Nocerina3411149363347

A question about Cavese vs Nocerina?

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

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