Match

Mantova vs Modena: result 1-0 and analysis

Serie C - Girone ARegular Season - 18Kick-off on December 11, 2016 at 01:30 PM (UTC)Stadio Danilo Martelli, Mantova

Mantova
1-0
Modena

Full time

What was the result of Mantova vs Modena?

Mantova won 1-0 on December 11, 2016.

Goalscorers

  • 69′Angelo SiniscalchiMantova

Official lineup for Mantova vs Modena

The starting elevens fielded at kick-off.

Mantova

  1. 9Mattia Marchi
  1. 6Filippo Carini
  2. 7R. Zammarini
  3. 8Silvano Raggio Garibaldi
  4. 10G. Caridi
  5. 24P. Regoli
  6. 1F. Bonato
  7. 14L. Maccabiti
  1. 2A. Bandini
  2. 17Angelo Siniscalchi
  3. 20Juan Pablo Gargiulo

Modena

  1. 10T. Tulissi
  2. 17A. Diakite
  1. 6Simon Laner
  2. 24D. Giorico
  3. 32Nicolás Schiavi
  4. 25S. Basso
  1. 4A. Accardi
  2. 5A. Cossentino
  3. 13F. Minarini
  4. 28Ș. Popescu
  1. 12N. Manfredini
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Mantova have 3 wins, 1 draw and 11 defeats; Modena have 2, 6 and 7.

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

Mantova
DateOpponentScoreCompetition
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
Nov 12, 2016AJ Fano(home)0-1Serie C - Girone A
Modena
DateOpponentScoreCompetition
Dec 7, 2016AJ Fano(home)0-0Serie C - Girone A
Dec 4, 2016Sambenedettese(away)1-1Serie C - Girone A
Nov 26, 2016Santarcangelo(away)0-2Serie C - Girone A
Nov 21, 2016Pordenone(home)0-3Serie C - Girone A
Nov 12, 2016Forli(away)2-2Serie C - Girone A

How many goals should we expect?

Mantova score 0.8 and concede 1.7 goals per match over their last 15; Modena score 0.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mantova0.81.726/157/15
Modena0.51.155/155/15

Over the last 15 matches in all competitions.

A question about Mantova vs Modena?

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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