Parma vs Cosenza: result 2-1 and analysis
Coppa Italia4th RoundKick-off on November 25, 2020 at 01:30 PM (UTC)Stadio Ennio Tardini, Parma
Full time
What was the result of Parma vs Cosenza?
Parma won 2-1 on November 25, 2020.
Goalscorers
- 13′J. BrunettaParma
- 38′A. CorsiCosenza
- 39′J. BrunettaParma
Official lineup for Parma vs Cosenza
The starting elevens fielded at kick-off.
Parma
4-3-1-2- 10Y. Karamoh
- 11A. Cornelius
- 41H. Nicolussi
- 32J. Brunetta
- 14J. Kurtič
- 15G. Brugman
- 42M. Busi
- 31G. Ricci
- 24Y. Osorio
- 2Simone Iacoponi
- 1L. Sepe
Cosenza
3-4-1-2- 11I. Sacko
- 9A. Petre
- 25B. Kone
- 17A. Ba
- 16D. Sciaudone
- 13D. Bouah
- 4A. Tiritiello
- 5R. Idda
- 2A. Corsi
- 14Raffaele Schiavi
- 30W. Falcone
What is the recent form of both teams?
Over their last 15 matches in all competitions, Parma have 5 wins, 3 draws and 7 defeats; Cosenza have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2020 | AS Roma(away) | 0-3 | Serie A |
| Nov 7, 2020 | Fiorentina(home) | 0-0 | Serie A |
| Oct 31, 2020 | Inter(away) | 2-2 | Serie A |
| Oct 28, 2020 | Pescara(home) | 3-1 | Coppa Italia |
| Oct 25, 2020 | Spezia(home) | 2-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2020 | Frosinone(away) | 2-0 | Serie B |
| Nov 7, 2020 | Brescia(home) | 1-2 | Serie B |
| Oct 31, 2020 | Chievo(away) | 0-2 | Serie B |
| Oct 28, 2020 | SS Monopoli(home) | 2-1 | Coppa Italia |
| Oct 25, 2020 | Lecce(home) | 1-1 | Serie B |
How many goals should we expect?
Parma score 1.5 and concede 2.0 goals per match over their last 15; Cosenza score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Parma | 1.5 | 2.0 | 2 | 11/15 | 12/15 |
| Cosenza | 1.5 | 0.9 | 4 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Parma vs Cosenza?
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