Match

Sudtirol vs Mantova: result 1-0 and analysis

Serie C - Girone ARegular Season - 19Kick-off on December 18, 2016 at 01:30 PM (UTC)Stadio Marco Druso, Bozen

Sudtirol
1-0
Mantova

Full time

What was the result of Sudtirol vs Mantova?

Sudtirol won 1-0 on December 18, 2016.

Goalscorers

  • 88′Claudio SparacelloSudtirol

Official lineup for Sudtirol vs Mantova

The starting elevens fielded at kick-off.

Sudtirol

  1. 9E. Gliozzi
  2. 13P. Ciurria
  3. 14A. Spagnoli
  1. 3Lorenzo Vasco
  2. 4K. Obodo
  3. 8A. Furlan
  4. 10H. Fink
  5. 21F. Tait
  1. 6A. Bassoli
  2. 15F. Di Nunzio
  1. 22R. Marcone

Mantova

  1. 9Mattia Marchi
  1. 6Filippo Carini
  2. 7R. Zammarini
  3. 8Silvano Raggio Garibaldi
  4. 10G. Caridi
  5. 24P. Regoli
  6. 1F. Bonato
  1. 2A. Bandini
  2. 17Angelo Siniscalchi
  3. 20Juan Pablo Gargiulo
  4. 23A. Cristini
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sudtirol have 3 wins, 6 draws and 6 defeats; Mantova have 3, 1 and 11.

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

Sudtirol
DateOpponentScoreCompetition
Dec 11, 2016Padova(away)0-2Serie C - Girone A
Dec 8, 2016Parma(home)0-1Serie C - Girone A
Dec 4, 2016Maceratese(away)2-1Serie C - Girone A
Nov 26, 2016Lumezzane(home)0-0Serie C - Girone A
Nov 19, 2016Santarcangelo(home)1-0Serie C - Girone A
Mantova
DateOpponentScoreCompetition
Dec 11, 2016Modena(home)1-0Serie C - Girone A
Dec 7, 2016Lumezzane(away)0-2Serie C - Girone A
Dec 4, 2016Santarcangelo(home)3-1Serie C - Girone A
Nov 26, 2016Gubbio(home)0-3Serie C - Girone A
Nov 19, 2016Forli(away)1-4Serie C - Girone A

How many goals should we expect?

Sudtirol score 0.8 and concede 1.1 goals per match over their last 15; Mantova score 0.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sudtirol0.81.127/153/15
Mantova0.71.735/156/15

Over the last 15 matches in all competitions.

A question about Sudtirol vs Mantova?

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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