Catanzaro vs Paganese: result 0-2 and analysis
Serie C - Girone ARegular Season - 5Kick-off on September 18, 2016 at 02:30 PM (UTC)Stadio Nicola Ceravolo, Catanzaro
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What was the result of Catanzaro vs Paganese?
Paganese won 0-2 on September 18, 2016.
Goalscorers
- 11′F. DeliPaganese
- 25′ReginaldoPaganese
Official lineup for Catanzaro vs Paganese
The starting elevens fielded at kick-off.
Catanzaro
- 10G. Giovinco
- 17L. Campagna
- 2D. Pasqualoni
- 7E. Cunzi
- 16P. Baccolo
- 21V. Di Bari
- 24F. Roselli
- 6Matteo Patti
- 13R. Sabato
- 23Mirko Esposito
- 1M. Grandi
Paganese
- 8Reginaldo
- 9A. Iunco
- 11E. Cicerelli
- 5Manolo Pestrin
- 10F. Deli
- 1V. Marruocco
- 25S. Di Cuonzo
- 27S. Maiorano
- 3Giovanni Della Corte
- 4L. Silvestri
- 13R. Alcibiade
What is the recent form of both teams?
Over their last 4 matches in all competitions, Catanzaro have 1 win, 0 draws and 3 defeats; Paganese have 0, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2016 | Lecce(away) | 0-3 | Serie C - Girone A |
| Sep 11, 2016 | Fidelis Andria(home) | 3-0 | Serie C - Girone A |
| Sep 4, 2016 | Virtus Francavilla(away) | 0-1 | Serie C - Girone A |
| Aug 28, 2016 | Cosenza(home) | 0-3 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2016 | Fidelis Andria(away) | 0-2 | Serie C - Girone A |
| Sep 11, 2016 | Casertana(home) | 0-1 | Serie C - Girone A |
| Sep 4, 2016 | Matera(away) | 1-2 | Serie C - Girone A |
How many goals should we expect?
Catanzaro score 0.8 and concede 1.8 goals per match over their last 4; Paganese score 0.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Catanzaro | 0.8 | 1.8 | 1 | 0/4 | 3/4 |
| Paganese | 0.3 | 1.7 | 0 | 1/3 | 1/3 |
Over the last 4 matches in all competitions.
A question about Catanzaro vs Paganese?
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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