Match

PRO Vercelli vs Novara: result 2-1 and analysis

Serie BRegular Season - 9Kick-off on October 16, 2016 at 03:30 PM (UTC)Stadio Silvio Piola, Vercelli

PRO Vercelli
2-1
Novara

Full time

What was the result of PRO Vercelli vs Novara?

PRO Vercelli won 2-1 on October 16, 2016.

Goalscorers

  • 37′Gianluca SansoneNovara
  • 67′A. La MantiaPRO Vercelli
  • 90′S. EmmanuelloPRO Vercelli

Official lineup for PRO Vercelli vs Novara

The starting elevens fielded at kick-off.

PRO Vercelli

3-5-2
  1. 27Osariemen Giulio Ebagua
  2. 8A. Palazzi
  1. 25D. Altobelli
  2. 7M. Mustacchio
  3. 5Alessandro Budel
  4. 24S. Luperto
  5. 4M. Bani
  1. 3U. Germano
  2. 33Carlo Mammarella
  3. 13E. Legati
  1. 1I. Provedel

Novara

4-3-1-2
  1. 16A. Galabinov
  2. 18Gianluca Sansone
  1. 8P. Faragò
  1. 23K. Adorján
  2. 5F. Casarini
  3. 4N. Viola
  1. 24L. Dickmann
  2. 6G. Scognamiglio
  3. 27M. Calderoni
  4. 2Magnus Troest
  1. 1David da Costa
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What is the recent form of both teams?

Over their last 10 matches in all competitions, PRO Vercelli have 3 wins, 3 draws and 4 defeats; Novara have 6, 3 and 6.

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

PRO Vercelli
DateOpponentScoreCompetition
Oct 9, 2016Ternana(home)1-0Serie B
Oct 1, 2016Avellino(away)2-3Serie B
Sep 24, 2016Cesena(home)1-0Serie B
Sep 20, 2016Benevento(away)1-1Serie B
Sep 17, 2016Spezia(away)1-2Serie B
Novara
DateOpponentScoreCompetition
Oct 8, 2016Ascoli(home)1-0Serie B
Oct 1, 2016Benevento(away)0-1Serie B
Sep 24, 2016Spezia(away)0-1Serie B
Sep 20, 2016Latina(home)2-2Serie B
Sep 17, 2016Cittadella(away)1-3Serie B

How many goals should we expect?

PRO Vercelli score 1.3 and concede 1.8 goals per match over their last 10; Novara score 1.2 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PRO Vercelli1.31.828/105/10
Novara1.21.347/159/15

Over the last 10 matches in all competitions.

A question about PRO Vercelli vs Novara?

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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