Match

San Luca vs Santa Maria Cilento: result 2-2 and analysis

Serie D - Girone IGroup I - 13Kick-off on November 27, 2022 at 01:30 PM (UTC)Stadio San Luca, Vorea

San Luca
2-2
Santa Maria Cilento

Full time

What was the result of San Luca vs Santa Maria Cilento?

San Luca and Santa Maria Cilento drew 2-2 on November 27, 2022.

Goalscorers

  • 12′?Santa Maria Cilento
  • 45′209560San Luca
  • 68′?Santa Maria Cilento
  • 90′?San Luca (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, San Luca have 4 wins, 6 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.

San Luca
DateOpponentScoreCompetition
Nov 20, 2022Real Normanna(away)2-1Serie D - Girone I
Nov 13, 2022Sancataldese(home)0-0Serie D - Girone I
Nov 6, 2022Acireale(away)1-1Serie D - Girone I
Oct 30, 2022Lamezia Terme(home)1-0Serie D - Girone I
Oct 23, 2022Canicattì(away)1-1Serie D - Girone I
Santa Maria Cilento
DateOpponentScoreCompetition
Nov 23, 2022Real Normanna(home)0-0Serie D - Girone I
Nov 20, 2022Ragusa(home)3-4Serie D - Girone I
Nov 13, 2022Trapani 1905(away)1-2Serie D - Girone I
Nov 6, 2022Castrovillari(away)1-1Serie D - Girone I
Oct 23, 2022Sancataldese(away)0-0Serie D - Girone I

What does the head-to-head say?

Across the last 2 meetings: 0 San Luca win(s), 1 draw(s), 1 Santa Maria Cilento win(s).

DateScoreCompetition
May 18, 2022San Luca 3-3 Santa Maria CilentoSerie D - Girone I
Mar 2, 2022Santa Maria Cilento 4-2 San LucaSerie D - Girone I

Last archived meeting: San Luca vs Santa Maria Cilento on May 18, 2022

How many goals should we expect?

San Luca score 1.3 and concede 1.7 goals per match over their last 15; Santa Maria Cilento score 1.1 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
San Luca1.31.7212/157/15
Santa Maria Cilento1.11.457/157/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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