Match

Fermana vs Matelica: result 1-1 and analysis

Serie C - Girone BGirone B - 13Kick-off on November 29, 2020 at 04:30 PM (UTC)Stadio Bruno Recchioni, Fermo

Fermana
1-1
Matelica

Full time

What was the result of Fermana vs Matelica?

Fermana and Matelica drew 1-1 on November 29, 2020.

Goalscorers

  • 13′Kingsley BoatengFermana
  • 14′R. CalcagniMatelica

Official lineup for Fermana vs Matelica

The starting elevens fielded at kick-off.

Fermana

  1. 9Luca Cognigni
  2. 11S. Neglia
  3. 17Kingsley Boateng
  4. 29P. Grbac
  1. 4Gianluca Urbinati
  2. 10I. Iotti
  3. 1P. Ginestra
  1. 3D. Mordini
  2. 14E. Scrosta
  3. 20D. De Pascalis
  4. 24S. Rossoni

Matelica

  1. 7E. Volpicelli
  2. 10V. Leonetti
  3. 23Filippo Franchi
  1. 5L. Bordo
  2. 11D. Balestrero
  3. 19R. Calcagni
  4. 24G. Masini
  1. 4S. De Santis
  2. 14S. Cason
  3. 27Emanuele Maurizii
  1. 1M. Cardinali
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Fermana have 5 wins, 4 draws and 6 defeats; Matelica have 8, 3 and 4.

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

Fermana
DateOpponentScoreCompetition
Nov 22, 2020Triestina(away)1-3Serie C - Girone B
Nov 11, 2020AJ Fano(home)0-0Serie C - Girone B
Nov 7, 2020Cesena(away)1-1Serie C - Girone B
Nov 1, 2020Carpi(home)0-1Serie C - Girone B
Oct 25, 2020Imolese(away)1-0Serie C - Girone B
Matelica
DateOpponentScoreCompetition
Nov 22, 2020Cesena(home)2-2Serie C - Girone B
Nov 15, 2020Padova(away)0-3Serie C - Girone B
Nov 11, 2020Legnago Salus(away)2-1Serie C - Girone B
Nov 7, 2020Ravenna(home)3-2Serie C - Girone B
Nov 1, 2020Virtus Verona(away)0-1Serie C - Girone B

How many goals should we expect?

Fermana score 0.7 and concede 1.1 goals per match over their last 15; Matelica score 1.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fermana0.71.146/154/15
Matelica1.71.449/1510/15

Over the last 15 matches in all competitions.

A question about Fermana vs Matelica?

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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