Match

Fermana vs Monza: result 0-1 and analysis

Serie C - Girone BGirone B - 18Kick-off on December 22, 2018 at 03:30 PM (UTC)Stadio Bruno Recchioni, Fermo

Fermana
0-1
Monza

Full time

What was the result of Fermana vs Monza?

Monza won 0-1 on December 22, 2018.

Goalscorers

  • 28′A. D'ErricoMonza

Official lineup for Fermana vs Monza

The starting elevens fielded at kick-off.

Fermana

  1. 23Luca Cognigni
  2. 29A. Lupoli
  1. 4Gianluca Urbinati
  2. 8Alex Misin
  3. 25Victor da Silva
  4. 27L. Fofana
  5. 12P. Ginestra
  1. 5Marco Comotto
  2. 6Marco Soprano
  3. 14E. Scrosta
  4. 15G. Clemente

Monza

  1. 9S. Cori
  2. 10A. D'Errico
  3. 11Reginaldo
  4. 30T. Ceccarelli
  1. 4G. Galli
  2. 19D. Caverzasi
  1. 5Ruggero Riva
  2. 17G. Barba
  3. 23S. Negro
  4. 24A. Tentardini
  1. 33E. Guarna
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Fermana have 7 wins, 3 draws and 5 defeats; Monza have 3, 6 and 6.

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

Fermana
DateOpponentScoreCompetition
Dec 15, 2018Imolese(away)0-0Serie C - Girone B
Dec 11, 2018Triestina(home)1-0Serie C - Girone B
Dec 8, 2018Ternana(away)0-2Serie C - Girone B
Dec 1, 2018Albinoleffe(home)0-0Serie C - Girone B
Nov 25, 2018Vis Pesaro(away)0-3Serie C - Girone B
Monza
DateOpponentScoreCompetition
Dec 15, 2018Albinoleffe(home)1-1Serie C - Girone B
Dec 11, 2018Rimini(away)0-1Serie C - Girone B
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

How many goals should we expect?

Fermana score 0.7 and concede 0.8 goals per match over their last 15; Monza score 0.8 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fermana0.70.891/152/15
Monza0.81.146/153/15

Over the last 15 matches in all competitions.

A question about Fermana vs Monza?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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