Match

Matera vs Fondi: result 0-0 and analysis

Serie C - Girone ARegular Season - 13Kick-off on November 13, 2016 at 07:30 PM (UTC)Stadio XXI Settembre-Franco Salerno, Matera

Matera
0-0
Fondi

Full time

What was the result of Matera vs Fondi?

Matera and Fondi drew 0-0 on November 13, 2016.

Official lineup for Matera vs Fondi

The starting elevens fielded at kick-off.

Matera

  1. 19F. Sartore
  2. 29Maikol Negro
  1. 8Gaetano Iannini
  2. 10Nicola Strambelli
  3. 21M. Armellino
  4. 23G. Di Lorenzo
  5. 27G. Casoli
  1. 3G. Mattera
  2. 5C. De Franco
  3. 28G. Ingrosso
  1. 22F. Alastra

Fondi

  1. 7Filippo Tiscione
  2. 11D. Albadoro
  1. 5F. Bombagi
  2. 10S. D'Agostino
  3. 24Elio Calderini
  4. 23R. De Martino
  5. 27R. Fissore
  1. 3Tommaso Squillace
  2. 6A. Signorini
  3. 18Gianluca Galasso
  1. 22Paolo Baiocco
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Matera have 7 wins, 4 draws and 2 defeats; Fondi have 4, 5 and 3.

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

Matera
DateOpponentScoreCompetition
Nov 6, 2016Messina(away)0-0Serie C - Girone A
Oct 30, 2016Akragas(home)3-1Serie C - Girone A
Oct 23, 2016Reggiana(away)6-2Serie C - Girone A
Oct 16, 2016Catanzaro(home)4-0Serie C - Girone A
Oct 9, 2016Siracusa(away)1-2Serie C - Girone A
Fondi
DateOpponentScoreCompetition
Nov 6, 2016Lecce(home)2-2Serie C - Girone A
Oct 30, 2016Casertana(away)1-1Serie C - Girone A
Oct 23, 2016Siracusa(home)2-0Serie C - Girone A
Oct 16, 2016Taranto(away)2-0Serie C - Girone A
Oct 9, 2016Cosenza(home)1-2Serie C - Girone A

How many goals should we expect?

Matera score 2.0 and concede 0.9 goals per match over their last 13; Fondi score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Matera2.00.948/137/13
Fondi1.51.137/125/12

Over the last 13 matches in all competitions.

A question about Matera vs Fondi?

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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