Match

Puteolana vs Afragolese: result 1-1 and analysis

Serie D - Girone HGroup H - 12Kick-off on November 20, 2022 at 01:30 PM (UTC)Stadio Domenico Conte, Pozzuoli

Puteolana
1-1
Afragolese

Full time

What was the result of Puteolana vs Afragolese?

Puteolana and Afragolese drew 1-1 on November 20, 2022.

Goalscorers

  • 56′?Afragolese
  • 79′?Puteolana

What is the recent form of both teams?

Over their last 15 matches in all competitions, Puteolana have 1 win, 8 draws and 6 defeats; Afragolese have 4, 4 and 7.

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

Puteolana
DateOpponentScoreCompetition
Nov 13, 2022Casarano(away)1-1Serie D - Girone H
Nov 6, 2022Nocerina(home)1-1Serie D - Girone H
Nov 2, 2022Molfetta Calcio(home)0-0Coppa Italia Serie D
Oct 30, 2022Gravina(away)0-0Serie D - Girone H
Oct 23, 2022Martina Franca(home)1-3Serie D - Girone H
Afragolese
DateOpponentScoreCompetition
Nov 13, 2022Team Altamura(home)1-2Serie D - Girone H
Nov 6, 2022Barletta(away)0-2Serie D - Girone H
Oct 30, 2022Brindisi(away)1-2Serie D - Girone H
Oct 23, 2022Lavello(home)1-1Serie D - Girone H
Oct 16, 2022Casarano(away)2-2Serie D - Girone H

What does the head-to-head say?

In the last meeting: 1 Puteolana win, 0 draws, 0 Afragolese wins.

DateScoreCompetition
Aug 28, 2022Afragolese 2-4 PuteolanaCoppa Italia Serie D

Last archived meeting: Afragolese vs Puteolana on Aug 28, 2022

How many goals should we expect?

Puteolana score 0.9 and concede 1.6 goals per match over their last 15; Afragolese score 1.4 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Puteolana0.91.639/156/15
Afragolese1.41.8111/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
7Afragolese34131011454649

A question about Puteolana vs Afragolese?

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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