Match

Palermo vs Robur Siena: result 2-0 and analysis

Serie ARegular Season - 6Kick-off on October 2, 2011 at 01:00 PM (UTC)Stadio Renzo Barbera, Palermo

Palermo
2-0
Robur Siena

Full time

What was the result of Palermo vs Robur Siena?

Palermo won 2-0 on October 2, 2011.

Goalscorers

  • 19′Giulio MigliaccioPalermo
  • 90′A. HernándezPalermo (pen.)

Official lineup for Palermo vs Robur Siena

The starting elevens fielded at kick-off.

Palermo

  1. 10Fabrizio Miccoli
  2. 11A. Hernández
  1. 5É. Barreto
  2. 7F. Della Rocca
  3. 8Giulio Migliaccio
  4. 14N. Bertolo
  5. 27J. Iličić
  1. 3Matías Agustín Silvestre
  2. 31Eros Pisano
  3. 42F. Balzaretti
  1. 33A. Tzorvas

Robur Siena

  1. 11E. Calaiò
  2. 22M. Destro
  1. 8Simone Vergassola
  2. 14Alessandro Gazzi
  3. 23Franco Brienza
  4. 70D. Mannini
  1. 2R. Vitiello
  2. 13Luca Rossettini
  3. 19Claudio Terzi
  4. 21Andrea Rossi
  1. 1Željko Brkić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Palermo have 7 wins, 2 draws and 6 defeats; Robur Siena have 1, 2 and 1.

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

Palermo
DateOpponentScoreCompetition
Sep 25, 2011Lazio(away)0-0Serie A
Sep 21, 2011Cagliari(home)3-2Serie A
Sep 18, 2011Atalanta(away)0-1Serie A
Sep 11, 2011Inter(home)4-3Serie A
May 22, 2011Chievo(home)1-3Serie A
Robur Siena
DateOpponentScoreCompetition
Sep 25, 2011Lecce(home)3-0Serie A
Sep 22, 2011AS Roma(away)1-1Serie A
Sep 18, 2011Juventus(home)0-1Serie A
Sep 11, 2011Catania(away)0-0Serie A

How many goals should we expect?

Palermo score 1.4 and concede 1.7 goals per match over their last 15; Robur Siena score 1.0 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Palermo1.41.729/1510/15
Robur Siena1.00.521/41/4

Over the last 15 matches in all competitions.

A question about Palermo vs Robur Siena?

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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