Match

Sancataldese vs Acireale: result 0-2 and analysis

Serie D - Girone IGroup I - 6Kick-off on October 17, 2021 at 01:00 PM (UTC)Stadio Valentino Mazzola, San Cataldo

Sancataldese
0-2
Acireale

Full time

What was the result of Sancataldese vs Acireale?

Acireale won 0-2 on October 17, 2021.

Goalscorers

  • 19′Francesco RussoAcireale
  • 78′Mattia TumminelliAcireale

What is the recent form of both teams?

Over their last 7 matches in all competitions, Sancataldese have 1 win, 0 draws and 6 defeats; Acireale have 8, 4 and 3.

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

Sancataldese
DateOpponentScoreCompetition
Oct 10, 2021Cittanova Interpiana(away)0-5Serie D - Girone I
Oct 6, 2021Cavese(home)0-2Serie D - Girone I
Oct 3, 2021Città Di Sant’Agata(away)0-2Serie D - Girone I
Sep 26, 2021Real Normanna(home)0-1Serie D - Girone I
Sep 22, 2021Licata(away)0-1Coppa Italia Serie D
Acireale
DateOpponentScoreCompetition
Oct 10, 2021Santa Maria Cilento(home)3-2Serie D - Girone I
Oct 3, 2021Rende(home)0-0Serie D - Girone I
Sep 26, 2021FC Messina(away)0-0Serie D - Girone I
Sep 22, 2021Giarre(home)1-1Coppa Italia Serie D
Sep 19, 2021Cittanova Interpiana(home)1-0Serie D - Girone I

How many goals should we expect?

Sancataldese score 0.4 and concede 1.9 goals per match over their last 7; Acireale score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sancataldese0.41.901/72/7
Acireale1.51.159/158/15

Over the last 7 matches in all competitions.

Where do both teams sit in the table?

Sancataldese sit 17th in Serie D - Girone I (29 points from 34 matches) and Acireale sit 15th (32 points from 34 matches).

2025-26 standings
#ClubPWDLGFGAPts
15Acireale3471215374932
17Sancataldese347819314929

A question about Sancataldese vs Acireale?

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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