Match

Olbia vs Racing Roma: result 3-0 and analysis

Serie C - Girone AMatchday 15Kick-off on November 27, 2016 at 01:30 PM (UTC)Stadio Bruno Nespoli, Olbia

Olbia
3-0
Racing Roma

Full time

What was the result of Olbia vs Racing Roma?

Olbia won 3-0 on November 27, 2016.

Goalscorers

  • 11′D. RagatzuOlbia
  • 37′A. CossuOlbia
  • 80′A. CapelloOlbia

Official lineup for Olbia vs Racing Roma

The starting elevens fielded at kick-off.

Olbia

  1. 10D. Ragatzu
  2. 17D. Kouko
  1. 7A. Cossu
  2. 8Enrico Geroni
  3. 11M. Piredda
  4. 20M. Muroni
  1. 5P. Dametto
  2. 6M. Miceli
  3. 14M. Russu
  4. 15Francesco Pisano
  1. 23W. Carboni

Racing Roma

  1. 24L. Ricciardi
  2. 3G. Proietti
  3. 4D. Macellari
  4. 7G. Steri
  5. 10C. De Sousa
  6. 17G. Vastola
  7. 21T. Maestrelli
  8. 27G. Caputo
  9. 29E. Loglio
  1. 5Andrea Selvaggio
  1. 1Luca Savelloni
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What is the recent form of both teams?

Over their last 14 matches in all competitions, Olbia have 5 wins, 3 draws and 6 defeats; Racing Roma have 2, 2 and 11.

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

Olbia
DateOpponentScoreCompetition
Nov 20, 2016Prato(home)1-2Serie C - Girone A
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
Racing Roma
DateOpponentScoreCompetition
Nov 20, 2016Lucchese(home)0-0Serie C - Girone A
Nov 13, 2016PRO Piacenza(away)0-3Serie C - Girone A
Nov 6, 2016Alessandria(home)1-1Serie C - Girone A
Oct 30, 2016Giana Erminio(away)0-3Serie C - Girone A
Oct 23, 2016Carrarese(home)0-1Serie C - Girone A

How many goals should we expect?

Olbia score 1.3 and concede 1.4 goals per match over their last 14; Racing Roma score 0.7 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Olbia1.31.458/149/14
Racing Roma0.71.835/157/15

Over the last 14 matches in all competitions.

A question about Olbia vs Racing Roma?

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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