Match

Siracusa vs Licata: result 3-2 and analysis

Serie D - Girone IGroup I - 11Kick-off on November 1, 2023 at 02:00 PM (UTC)Stadio Nicola de Simone, Siracusa

Siracusa
3-2
Licata

Full time

What was the result of Siracusa vs Licata?

Siracusa won 3-2 on November 1, 2023.

Goalscorers

  • 22′?Siracusa
  • 29′?Licata
  • 54′?Siracusa
  • 74′Giulio OrlandoLicata
  • 90′?Siracusa

What is the recent form of both teams?

Over their last 15 matches in all competitions, Siracusa have 11 wins, 1 draw and 3 defeats; Licata have 7, 4 and 4.

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

Siracusa
DateOpponentScoreCompetition
Oct 28, 2023Portici(away)5-0Serie D - Girone I
Oct 15, 2023San Luca(home)6-1Serie D - Girone I
Oct 8, 2023Lamezia Terme(away)4-1Serie D - Girone I
Oct 4, 2023Acireale(home)3-1Serie D - Girone I
Oct 1, 2023La Fenice Amaranto(away)2-1Serie D - Girone I
Licata
DateOpponentScoreCompetition
Oct 29, 2023San Luca(home)3-2Serie D - Girone I
Oct 22, 2023Lamezia Terme(away)0-2Serie D - Girone I
Oct 15, 2023Acireale(home)1-0Serie D - Girone I
Oct 8, 2023La Fenice Amaranto(away)0-2Serie D - Girone I
Oct 4, 2023Igea Virtus(home)2-0Serie D - Girone I

How many goals should we expect?

Siracusa score 2.6 and concede 1.1 goals per match over their last 15; Licata score 1.2 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Siracusa2.61.1510/1511/15
Licata1.20.957/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Siracusa sit 11th in Serie D - Girone I (7 points from 7 matches) and Licata sit 4th (14 points from 7 matches).

2026-27 standings
#ClubPWDLGFGAPts
4Licata742110914
11Siracusa74211157

A question about Siracusa vs Licata?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

Other matches in the same round

Next match: Siracusa and Licata

Ready to know everything about football?