Casertana vs Taranto: result 2-1 and analysis
Serie C - Girone ARegular Season - 4Kick-off on September 14, 2016 at 06:30 PM (UTC)Stadio Comunale Alberto Pinto, Caserta
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What was the result of Casertana vs Taranto?
Casertana won 2-1 on September 14, 2016.
Goalscorers
- 25′A. ViolaTaranto (pen.)
- 54′L. GiannoneCasertana (pen.)
- 77′L. GiannoneCasertana
Official lineup for Casertana vs Taranto
The starting elevens fielded at kick-off.
Casertana
- 10L. Giannone
- 4F. Giorno
- 7Simone De Marco
- 14Ewome Kelvin Matute
- 1P. Ginestra
- 26N. Ciotola
- 28L. Orlando
- 2M. Finizio
- 6Alessandro Potenza
- 11J. Ramos
- 21Pasquale Rainone
Taranto
- 9S. Magnaghi
- 21Toni García
- 29A. Viola
- 7Francesco Potenza
- 28Y. Bobb
- 1R. Maurantonio
- 4E. Nigro
- 2F. De Giorgi
- 3F. Pambianchi
- 6M. Stendardo
- 18E. Altobello
What is the recent form of both teams?
Over their last 4 matches in all competitions, Casertana have 1 win, 0 draws and 3 defeats; Taranto have 1, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Paganese(away) | 1-0 | Serie C - Girone A |
| Sep 4, 2016 | Monopoli(home) | 0-1 | Serie C - Girone A |
| Aug 28, 2016 | Melfi(away) | 0-1 | Serie C - Girone A |
| Aug 7, 2016 | Vicenza Virtus(away) | 2-4 | Coppa Italia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Siracusa(home) | 0-0 | Serie C - Girone A |
| Sep 4, 2016 | Cosenza(away) | 1-0 | Serie C - Girone A |
| Aug 28, 2016 | Matera(home) | 1-1 | Serie C - Girone A |
How many goals should we expect?
Casertana score 0.8 and concede 1.5 goals per match over their last 4; Taranto score 0.7 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Casertana | 0.8 | 1.5 | 1 | 1/4 | 1/4 |
| Taranto | 0.7 | 0.3 | 2 | 1/3 | 0/3 |
Over the last 4 matches in all competitions.
A question about Casertana vs Taranto?
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