Match

Rimini vs Monza: result 1-0 and analysis

Serie C - Girone BGirone B - 16Kick-off on December 11, 2018 at 06:00 PM (UTC)Stadio Romeo Neri, Rimini

Rimini
1-0
Monza

Full time

What was the result of Rimini vs Monza?

Rimini won 1-0 on December 11, 2018.

Goalscorers

  • 90′M. VolpeRimini

Official lineup for Rimini vs Monza

The starting elevens fielded at kick-off.

Rimini

  1. 7D. Simoncelli
  2. 10S. Cicarevic
  3. 16M. Volpe
  1. 6I. Alimi
  2. 30A. Montanari
  3. 13A. Petti
  1. 4A. Venturini
  2. 5M. Ferrani
  3. 11A. Guiébré
  4. 19S. Marchetti
  1. 22G. Nava

Monza

  1. 11Reginaldo
  2. 30T. Ceccarelli
  1. 4G. Galli
  2. 8L. Guidetti
  3. 14F. Giorno
  4. 19D. Caverzasi
  5. 32S. Iocolano
  1. 5Ruggero Riva
  2. 24A. Tentardini
  3. 25Lorenzo Adorni
  1. 33E. Guarna
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Rimini have 4 wins, 6 draws and 5 defeats; Monza have 5, 5 and 5.

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

Rimini
DateOpponentScoreCompetition
Dec 8, 2018Albinoleffe(home)3-2Serie C - Girone B
Dec 4, 2018Ternana(away)0-3Serie C - Girone B
Dec 1, 2018AJ Fano(away)0-1Serie C - Girone B
Nov 25, 2018Virtus Verona(home)1-0Serie C - Girone B
Nov 18, 2018Ravenna(away)0-0Serie C - Girone B
Monza
DateOpponentScoreCompetition
Dec 8, 2018Giana Erminio(home)3-0Serie C - Girone B
Dec 1, 2018Gubbio(away)0-0Serie C - Girone B
Nov 25, 2018Imolese(home)1-1Serie C - Girone B
Nov 18, 2018Pordenone(home)0-2Serie C - Girone B
Nov 11, 2018Vis Pesaro(away)1-1Serie C - Girone B

How many goals should we expect?

Rimini score 1.0 and concede 1.4 goals per match over their last 15; Monza score 0.9 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rimini1.01.447/157/15
Monza0.91.065/153/15

Over the last 15 matches in all competitions.

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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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