Match

Real Giulianova vs Matelica: result 0-0 and analysis

Serie D - Girone FRegular Season - 20Kick-off on January 19, 2020 at 01:30 PM (UTC)Stadio Rubens Fadini, Giulianova

Real Giulianova
0-0
Matelica

Full time

What was the result of Real Giulianova vs Matelica?

Real Giulianova and Matelica drew 0-0 on January 19, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Real Giulianova have 3 wins, 5 draws and 7 defeats; Matelica have 11, 2 and 2.

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

Real Giulianova
DateOpponentScoreCompetition
Jan 12, 2020Vastese(away)1-1Serie D - Girone F
Jan 5, 2020Porto Sant'Elpidio(home)1-1Serie D - Girone F
Dec 22, 2019Tolentino(home)1-2Serie D - Girone F
Dec 15, 2019Pineto(away)1-3Serie D - Girone F
Dec 8, 2019Notaresco(home)0-1Serie D - Girone F
Matelica
DateOpponentScoreCompetition
Jan 12, 2020Montegiorgio(home)3-2Serie D - Girone F
Jan 5, 2020Cattolica(away)2-1Serie D - Girone F
Dec 22, 2019Recanatese(away)2-1Serie D - Girone F
Dec 15, 2019Olympia Agnonese(home)2-0Serie D - Girone F
Dec 8, 2019Vastese(home)4-0Serie D - Girone F

What does the head-to-head say?

In the last meeting: 0 Real Giulianova wins, 1 draw, 0 Matelica wins.

DateScoreCompetition
Sep 15, 2019Matelica 1-1 Real GiulianovaSerie D - Girone F

Last archived meeting: Matelica vs Real Giulianova on Sep 15, 2019

How many goals should we expect?

Real Giulianova score 1.1 and concede 1.7 goals per match over their last 15; Matelica score 2.2 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Real Giulianova1.11.729/156/15
Matelica2.20.777/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
13Real Giulianova721410117

A question about Real Giulianova vs Matelica?

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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