Torino vs Pisa: result 4-0 and analysis
Coppa Italia4th RoundKick-off on November 29, 2016 at 08:00 PM (UTC)Stadio Olimpico Grande Torino, Torino
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What was the result of Torino vs Pisa?
Torino won 4-0 on November 29, 2016.
Goalscorers
- 92′A. LjajićTorino
- 111′Maximiliano Gastón LópezTorino
- 113′L. BoyéTorino
- 117′A. BelottiTorino
Official lineup for Torino vs Pisa
The starting elevens fielded at kick-off.
Torino
4-3-3- 31L. Boyé
- 17Josef Martínez
- 11Maximiliano Gastón López
- 25S. Lukić
- 6Afriyie Acquah
- 22J. Obi
- 93A. Ajeti
- 5Cesare Bovo
- 29L. De Silvestri
- 24Emiliano Moretti
- 1D. Padelli
Pisa
4-3-3- 28M. Gatto
- 11A. Montella
- 9Edgar Çani
- 27G. Sanseverino
- 19A. Lazzari
- 14S. Birindelli
- 24P. Golubović
- 15D. Del Fabro
- 30Simone Fautario
- 2Stefano Avogadri
- 1S. Ujkani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torino have 8 wins, 4 draws and 3 defeats; Pisa have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | Chievo(home) | 2-1 | Serie A |
| Nov 20, 2016 | Crotone(away) | 2-0 | Serie A |
| Nov 5, 2016 | Cagliari(home) | 5-1 | Serie A |
| Oct 31, 2016 | Udinese(away) | 2-2 | Serie A |
| Oct 26, 2016 | Inter(away) | 1-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | Trapani(home) | 1-0 | Serie B |
| Nov 19, 2016 | Avellino(away) | 0-1 | Serie B |
| Nov 13, 2016 | Cesena(away) | 0-2 | Serie B |
| Nov 5, 2016 | Perugia(home) | 0-1 | Serie B |
| Oct 29, 2016 | Salernitana(away) | 0-0 | Serie B |
How many goals should we expect?
Torino score 2.3 and concede 1.2 goals per match over their last 15; Pisa score 0.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torino | 2.3 | 1.2 | 3 | 12/15 | 12/15 |
| Pisa | 0.4 | 0.7 | 6 | 3/15 | 1/15 |
Over the last 15 matches in all competitions.
A question about Torino vs Pisa?
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