Match

Olbia vs Prato: result 1-2 and analysis

Serie C - Girone ARegular Season - 14Kick-off on November 20, 2016 at 01:30 PM (UTC)Stadio Bruno Nespoli, Olbia

Olbia
1-2
Prato

Full time

What was the result of Olbia vs Prato?

Prato won 1-2 on November 20, 2016.

Goalscorers

  • 5′A. RomanoPrato
  • 57′A. RomanoPrato
  • 74′D. KoukoOlbia (pen.)

Official lineup for Olbia vs Prato

The starting elevens fielded at kick-off.

Olbia

  1. 9A. Capello
  2. 10D. Ragatzu
  1. 7A. Cossu
  2. 8Enrico Geroni
  3. 11M. Piredda
  4. 13A. Murgia
  1. 3M. Cotali
  2. 6M. Miceli
  3. 15Francesco Pisano
  4. 24D. Quaranta
  1. 23W. Carboni

Prato

  1. 6A. Romano
  2. 9G. Moncini
  3. 11D. Di Molfetta
  4. 19M. Malotti
  1. 20Luca Checchin
  2. 2F. Catacchini
  3. 8D. Carcuro
  4. 23D. Ghidotti
  1. 5R. Martinelli
  2. 29G. Tomi
  1. 27Rino Iuliano
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Olbia have 5 wins, 3 draws and 5 defeats; Prato have 1, 2 and 10.

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

Olbia
DateOpponentScoreCompetition
Nov 13, 2016Viterbese(away)3-0Serie C - Girone A
Nov 6, 2016Tuttocuoio(home)1-0Serie C - Girone A
Oct 30, 2016Como(away)2-2Serie C - Girone A
Oct 23, 2016Alessandria(home)1-4Serie C - Girone A
Oct 16, 2016Cremonese(away)1-2Serie C - Girone A
Prato
DateOpponentScoreCompetition
Nov 13, 2016Pontedera(home)0-1Serie C - Girone A
Nov 6, 2016Livorno(away)1-5Serie C - Girone A
Oct 30, 2016Lupa Roma(home)1-2Serie C - Girone A
Oct 23, 2016Lucchese(away)0-3Serie C - Girone A
Oct 16, 2016PRO Piacenza(home)1-0Serie C - Girone A

How many goals should we expect?

Olbia score 1.3 and concede 1.3 goals per match over their last 13; Prato score 0.6 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Olbia1.31.357/138/13
Prato0.62.115/137/13

Over the last 13 matches in all competitions.

A question about Olbia vs Prato?

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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