Match

Matera vs Viterbese: result 1-0 and analysis

Serie C - Girone CGirone C - 11Kick-off on November 10, 2018 at 01:30 PM (UTC)Stadio XXI Settembre-Franco Salerno, Matera

Matera
1-0
Viterbese

Full time

What was the result of Matera vs Viterbese?

Matera won 1-0 on November 10, 2018.

Goalscorers

  • 56′Gianvito PlasmatiMatera

Official lineup for Matera vs Viterbese

The starting elevens fielded at kick-off.

Matera

  1. 16G. Dammacco
  2. 20V. Triarico Tateo
  1. 8Agatino Sergio Garufi
  2. 14M. Ricci
  3. 4D. Corso
  4. 7L. Orlando
  5. 17L. Genovese
  1. 3Antonio Sepe
  2. 13M. Stendardo
  3. 29G. Risaliti
  1. 1A. Farroni

Viterbese

  1. 9A. Saraniti
  2. 18A. Polidori
  1. 5M. Rinaldi
  2. 8Andrea Bovo
  3. 10Simone Palermo
  4. 14L. Baldassin
  5. 30S. Damiani
  1. 2F. De Giorgi
  2. 23S. Sini
  3. 27A. De Vito
  1. 22F. Forte
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Matera have 4 wins, 2 draws and 9 defeats; Viterbese have 5, 3 and 7.

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

Matera
DateOpponentScoreCompetition
Nov 3, 2018Trapani(away)0-2Serie C - Girone C
Oct 20, 2018Casertana(home)2-2Serie C - Girone C
Oct 16, 2018Cavese(away)1-3Serie C - Girone C
Oct 13, 2018Virtus Francavilla(home)1-2Serie C - Girone C
Oct 6, 2018Bisceglie(away)0-1Serie C - Girone C
Viterbese
DateOpponentScoreCompetition
Nov 6, 2018Sicula Leonzio(home)1-2Serie C - Girone C
Nov 3, 2018Rieti(home)0-1Serie C - Girone C
Aug 12, 2018Sampdoria(away)0-1Coppa Italia
Aug 4, 2018Ascoli(away)4-0Coppa Italia
Jul 29, 2018Rende(home)1-0Coppa Italia

How many goals should we expect?

Matera score 0.9 and concede 1.5 goals per match over their last 15; Viterbese score 0.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Matera0.91.526/158/15
Viterbese0.90.965/154/15

Over the last 15 matches in all competitions.

A question about Matera vs Viterbese?

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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