Pescara vs Palermo: result 1-0 and analysis
Serie ARegular Season - 5Kick-off on September 26, 2012 at 04:30 PM (UTC)Stadio Adriatico-Giovanni Cornacchia, Pescara
Full time
What was the result of Pescara vs Palermo?
Pescara won 1-0 on September 26, 2012.
Goalscorers
- 86′V. WeissPescara
Official lineup for Pescara vs Palermo
The starting elevens fielded at kick-off.
Pescara
- 22A. Vukušić
- 4E. Cascione
- 18Giuseppe Colucci
- 20M. Lund Nielsen
- 93J. Quintero
- 99G. Caprari
- 2Damiano Zanon
- 14Antonio Balzano
- 15Antonio Bocchetti
- 23U. Ćosić
- 32Ivan Pelizzoli
Palermo
- 11A. Hernández
- 5É. Barreto
- 17L. Giorgi
- 20E. Arévalo
- 23Massimo Donati
- 27J. Iličić
- 6E. Muñoz
- 25S. von Bergen
- 29S. García
- 89M. Morganella
- 1S. Ujkani
What is the recent form of both teams?
Over their last 4 matches in all competitions, Pescara have 0 wins, 1 draw and 3 defeats; Palermo have 1, 7 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2012 | Bologna(away) | 1-1 | Serie A |
| Sep 16, 2012 | Sampdoria(home) | 2-3 | Serie A |
| Sep 1, 2012 | Torino(away) | 0-3 | Serie A |
| Aug 26, 2012 | Inter(home) | 0-3 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2012 | Atalanta(away) | 0-1 | Serie A |
| Sep 15, 2012 | Cagliari(home) | 1-1 | Serie A |
| Sep 2, 2012 | Lazio(away) | 0-3 | Serie A |
| Aug 26, 2012 | Napoli(home) | 0-3 | Serie A |
| May 13, 2012 | Genoa(away) | 0-2 | Serie A |
How many goals should we expect?
Pescara score 0.8 and concede 2.5 goals per match over their last 4; Palermo score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pescara | 0.8 | 2.5 | 0 | 2/4 | 3/4 |
| Palermo | 0.9 | 1.7 | 1 | 8/15 | 6/15 |
Over the last 4 matches in all competitions.
A question about Pescara vs Palermo?
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