Match

Real Monterotondo vs Matese: result 3-0 and analysis

Serie D - Girone FGroup F - 33Kick-off on April 28, 2024 at 01:00 PM (UTC)Stadio Ottavio Pierangeli, Monterotondo

Real Monterotondo
3-0
Matese

Full time

What was the result of Real Monterotondo vs Matese?

Real Monterotondo won 3-0 on April 28, 2024.

Goalscorers

  • 35′Stefano NapoleoniReal Monterotondo
  • 52′?Real Monterotondo
  • 58′Stefano NapoleoniReal Monterotondo

What is the recent form of both teams?

Over their last 15 matches in all competitions, Real Monterotondo have 6 wins, 3 draws and 6 defeats; Matese have 3, 3 and 9.

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

Real Monterotondo
DateOpponentScoreCompetition
Apr 21, 2024Chieti(home)3-1Serie D - Girone F
Apr 14, 2024Termoli Calcio(away)1-2Serie D - Girone F
Apr 7, 2024Sora(home)2-1Serie D - Girone F
Mar 28, 2024Notaresco(away)2-1Serie D - Girone F
Mar 23, 2024Tivoli(home)2-2Serie D - Girone F
Matese
DateOpponentScoreCompetition
Apr 21, 2024Termoli Calcio(home)0-2Serie D - Girone F
Apr 14, 2024United Riccione(away)0-2Serie D - Girone F
Apr 7, 2024Notaresco(home)2-1Serie D - Girone F
Mar 28, 2024Vastogirardi(away)0-1Serie D - Girone F
Mar 24, 2024Sambenedettese(home)0-0Serie D - Girone F

What does the head-to-head say?

In the last meeting: 1 Real Monterotondo win, 0 draws, 0 Matese wins.

DateScoreCompetition
Dec 16, 2023Matese 0-1 Real MonterotondoSerie D - Girone F

Last archived meeting: Matese vs Real Monterotondo on Dec 16, 2023

How many goals should we expect?

Real Monterotondo score 1.3 and concede 1.7 goals per match over their last 15; Matese score 0.6 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Real Monterotondo1.31.7311/1510/15
Matese0.61.534/154/15

Over the last 15 matches in all competitions.

A question about Real Monterotondo vs Matese?

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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