Cosenza vs Paganese: result 2-1 and analysis
Serie C - Girone ARegular Season - 9Kick-off on October 16, 2016 at 06:30 PM (UTC)Stadio San Vito-Luigi Marulla, Cosenza
Full time
What was the result of Cosenza vs Paganese?
Cosenza won 2-1 on October 16, 2016.
Goalscorers
- 63′E. CicerelliPaganese
- 68′Alain-Pierre BacletPaganese
- 90′D. MungoPaganese
What is the recent form of both teams?
Over their last 9 matches in all competitions, Cosenza have 5 wins, 1 draw and 3 defeats; Paganese have 3, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2016 | Fondi(away) | 2-1 | Serie C - Girone A |
| Oct 2, 2016 | Virtus Francavilla(home) | 1-0 | Serie C - Girone A |
| Sep 25, 2016 | Reggiana(away) | 0-0 | Serie C - Girone A |
| Sep 18, 2016 | Vibonese(home) | 2-0 | Serie C - Girone A |
| Sep 14, 2016 | Melfi(home) | 3-0 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2016 | Melfi(home) | 3-0 | Serie C - Girone A |
| Oct 5, 2016 | Virtus Francavilla(home) | 1-1 | Serie C - Girone A |
| Oct 2, 2016 | Messina(away) | 2-0 | Serie C - Girone A |
| Sep 25, 2016 | Monopoli(home) | 0-2 | Serie C - Girone A |
| Sep 18, 2016 | Catanzaro(away) | 2-0 | Serie C - Girone A |
How many goals should we expect?
Cosenza score 1.4 and concede 0.7 goals per match over their last 9; Paganese score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cosenza | 1.4 | 0.7 | 5 | 2/9 | 4/9 |
| Paganese | 1.1 | 1.0 | 3 | 2/8 | 2/8 |
Over the last 9 matches in all competitions.
A question about Cosenza 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