Ternana vs Pisa: result 1-0 and analysis
Serie BRegular Season - 1Kick-off on September 7, 2016 at 06:30 PM (UTC)Stadio Libero Liberati, Terni
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What was the result of Ternana vs Pisa?
Ternana won 1-0 on September 7, 2016.
Goalscorers
- 6′F. AvenattiTernana (pen.)
Official lineup for Ternana vs Pisa
The starting elevens fielded at kick-off.
Ternana
4-3-2-1- 10C. Falletti
- 20F. Avenatti
- 16L. Di Livio
- 17J. Petriccione
- 19G. Di Noia
- 15Armin Bačinović
- 18L. Germoni
- 6B. Meccariello
- 2Damiano Zanon
- 30Matteo Contini
- 1R. Di Gennaro
Pisa
4-4-2- 23U. Eusepi
- 27G. Sanseverino
- 8L. Verna
- 6F. Di Tacchio
- 7D. Mannini
- 24P. Golubović
- 13L. Crescenzi
- 3Alessandro Longhi
- 4Andrea Lisuzzo
- 2Stefano Avogadri
- 1S. Ujkani
What is the recent form of both teams?
Over their last 3 matches in all competitions, Ternana have 1 win, 0 draws and 2 defeats; Pisa have 2, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Cittadella(away) | 0-2 | Serie B |
| Aug 13, 2016 | Cesena(away) | 0-2 | Coppa Italia |
| Aug 7, 2016 | Pordenone(home) | 2-0 | Coppa Italia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | Novara(home) | 1-0 | Serie B |
| Aug 14, 2016 | Salernitana(away) | 2-2 | Coppa Italia |
| Aug 7, 2016 | Brescia(away) | 2-0 | Coppa Italia |
How many goals should we expect?
Ternana score 0.7 and concede 1.3 goals per match over their last 3; Pisa score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ternana | 0.7 | 1.3 | 1 | 0/3 | 0/3 |
| Pisa | 1.7 | 0.7 | 2 | 1/3 | 1/3 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Pisa | 6 | 3 | 1 | 2 | 11 | 8 | 10 |
A question about Ternana 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