Racing Roma vs PRO Piacenza: result 0-1 and analysis
Serie C - Girone ARegular Season - 32Kick-off on April 1, 2017 at 12:30 PM (UTC)Stadio Casal del Marmo, Roma
Full time
What was the result of Racing Roma vs PRO Piacenza?
PRO Piacenza won 0-1 on April 1, 2017.
Goalscorers
- 90′Nicola PozziPRO Piacenza
What is the recent form of both teams?
Over their last 15 matches in all competitions, Racing Roma have 3 wins, 5 draws and 7 defeats; PRO Piacenza have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Alessandria(away) | 1-2 | Serie C - Girone A |
| Mar 18, 2017 | Giana Erminio(home) | 1-1 | Serie C - Girone A |
| Mar 11, 2017 | Carrarese(away) | 0-6 | Serie C - Girone A |
| Mar 4, 2017 | Arezzo(home) | 1-1 | Serie C - Girone A |
| Feb 25, 2017 | Robur Siena(away) | 2-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Lupa Roma(home) | 0-0 | Serie C - Girone A |
| Mar 18, 2017 | Lucchese(away) | 0-1 | Serie C - Girone A |
| Mar 11, 2017 | Viterbese(away) | 2-0 | Serie C - Girone A |
| Mar 4, 2017 | Prato(home) | 2-0 | Serie C - Girone A |
| Feb 26, 2017 | Carrarese(away) | 3-0 | Serie C - Girone A |
What does the head-to-head say?
Across the last 1 meetings: 0 Racing Roma win(s), 0 draw(s), 1 PRO Piacenza win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 13, 2016 | PRO Piacenza 3-0 Racing Roma | Serie C - Girone A |
Last archived meeting: PRO Piacenza vs Racing Roma on Nov 13, 2016
How many goals should we expect?
Racing Roma score 0.9 and concede 1.7 goals per match over their last 15; PRO Piacenza score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Racing Roma | 0.9 | 1.7 | 4 | 8/15 | 8/15 |
| PRO Piacenza | 1.3 | 0.7 | 7 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy