Match

Brescia vs Padova: result 1-0 and analysis

Coppa Italia2nd RoundKick-off on August 6, 2017 at 06:30 PM (UTC)Stadio Mario Rigamonti, Brescia

Brescia
1-0
Padova

Full time

What was the result of Brescia vs Padova?

Brescia won 1-0 on August 6, 2017.

Goalscorers

  • 15′R. ColyBrescia

Official lineup for Brescia vs Padova

The starting elevens fielded at kick-off.

Brescia

  1. 7E. Torregrossa
  2. 9Andrea Caracciolo
  1. 16Luca Cattaneo
  2. 20E. Ndoj
  3. 25D. Bisoli
  1. 2A. Semprini
  2. 3M. Somma
  3. 4R. Coly
  4. 15M. Coppolaro
  5. 17Nicola Lancini
  1. 32R. Gagno

Padova

  1. 9Marco Guidone
  1. 2Nicola Madonna
  2. 4C. De Risio
  3. 7Matteo Mandorlini
  4. 8A. Tabanelli
  5. 10R. Candido
  6. 11N. Pulzetti
  1. 3S. Contessa
  2. 5M. Russo
  3. 6D. Cappelletti
  1. 1Giacomo Bindi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Brescia have 4 wins, 7 draws and 4 defeats; Padova have 7, 3 and 5.

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

Brescia
DateOpponentScoreCompetition
May 18, 2017Trapani(home)2-1Serie B
May 13, 2017PRO Vercelli(away)2-2Serie B
May 6, 2017Latina(home)1-1Serie B
Apr 30, 2017Novara(away)3-2Serie B
Apr 25, 2017Ternana(home)2-1Serie B
Padova
DateOpponentScoreCompetition
Jul 30, 2017Rende(home)2-1Coppa Italia
May 7, 2017Lumezzane(home)2-0Serie C - Girone A
Apr 30, 2017Sudtirol(away)0-1Serie C - Girone A
Apr 24, 2017Ancona(home)2-2Serie C - Girone A
Apr 15, 2017Pordenone(away)0-1Serie C - Girone A

How many goals should we expect?

Brescia score 1.1 and concede 1.3 goals per match over their last 15; Padova score 1.1 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Brescia1.11.3210/156/15
Padova1.10.866/154/15

Over the last 15 matches in all competitions.

A question about Brescia vs Padova?

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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