Parma vs Lumezzane: result 1-0 and analysis
Serie C - Girone ARegular Season - 2Kick-off on September 3, 2016 at 06:30 PM (UTC)Stadio Ennio Tardini, Parma
Full time
What was the result of Parma vs Lumezzane?
Parma won 1-0 on September 3, 2016.
Goalscorers
- 82′E. CalaiòParma
Official lineup for Parma vs Lumezzane
The starting elevens fielded at kick-off.
Parma
- 9M. Nocciolini
- 10Y. Baraye
- 18E. Calaiò
- 4Francesco Corapi
- 29M. Scavone
- 2Michele Canini
- 6Alessandro Lucarelli
- 15D. Garufo
- 21L. Nunzella
- 26A. Coly
- 22M. Ćorić
Lumezzane
- 9R. Barbuti
- 4T. Arrigoni
- 5M. Calamai
- 10G. Genevier
- 11Antonio Bacio Terracino
- 17K. Varas
- 2L. Bonomo
- 6F. Sorbo
- 13F. Rapisarda
- 24M. Tagliani
- 1A. Pasotti
What is the recent form of both teams?
Over their last 15 matches in all competitions, Parma have 3 wins, 6 draws and 6 defeats; Lumezzane have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Modena(away) | 0-0 | Serie C - Girone A |
| May 31, 2015 | Sampdoria(away) | 2-2 | Serie A |
| May 24, 2015 | Hellas Verona(home) | 2-2 | Serie A |
| May 18, 2015 | Fiorentina(away) | 0-3 | Serie A |
| May 10, 2015 | Napoli(home) | 2-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Teramo(home) | 2-0 | Serie C - Girone A |
How many goals should we expect?
Parma score 0.9 and concede 1.9 goals per match over their last 15; Lumezzane score 2.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Parma | 0.9 | 1.9 | 4 | 6/15 | 8/15 |
| Lumezzane | 2.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Lumezzane | 9 | 3 | 3 | 3 | 10 | 11 | 12 |
A question about Parma vs Lumezzane?
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