Perugia vs Novara: result 0-0 and analysis
Serie BRegular Season - 16Kick-off on November 26, 2016 at 02:00 PM (UTC)Stadio Renato Curi, Perugia
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What was the result of Perugia vs Novara?
Perugia and Novara drew 0-0 on November 26, 2016.
Official lineup for Perugia vs Novara
The starting elevens fielded at kick-off.
Perugia
4-3-3- 21F. Nicastro
- 10S. Di Carmine
- 8M. Ricci
- 11J. Dezi
- 7Stefano Guberti
- 33M. Brighi
- 6S. Monaco
- 27G. Di Chiara
- 17N. Belmonte
- 14Massimo Volta
- 1A. Rosati
Novara
3-5-2- 18Gianluca Sansone
- 23K. Adorján
- 5F. Casarini
- 4N. Viola
- 19F. Bolzoni
- 24L. Dickmann
- 6G. Scognamiglio
- 27M. Calderoni
- 2Magnus Troest
- 3Andrea Mantovani
- 1David da Costa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Perugia have 6 wins, 6 draws and 3 defeats; Novara have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | Ascoli(away) | 2-2 | Serie B |
| Nov 13, 2016 | Trapani(home) | 1-1 | Serie B |
| Nov 5, 2016 | Pisa(away) | 1-0 | Serie B |
| Oct 30, 2016 | Vicenza Virtus(away) | 4-1 | Serie B |
| Oct 25, 2016 | Carpi(home) | 0-2 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | Frosinone(home) | 1-2 | Serie B |
| Nov 13, 2016 | Hellas Verona(away) | 4-0 | Serie B |
| Nov 5, 2016 | Spal(home) | 0-1 | Serie B |
| Oct 29, 2016 | Ternana(away) | 3-4 | Serie B |
| Oct 25, 2016 | Bari(home) | 1-0 | Serie B |
How many goals should we expect?
Perugia score 1.3 and concede 0.9 goals per match over their last 15; Novara score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Perugia | 1.3 | 0.9 | 5 | 8/15 | 5/15 |
| Novara | 1.2 | 1.3 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Perugia vs Novara?
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