Lucchese vs Racing Roma: result 2-1 and analysis
Serie C - Girone ARegular Season - 33Kick-off on April 4, 2017 at 04:30 PM (UTC)Stadio Porta Elisa, Lucca
Full time
What was the result of Lucchese vs Racing Roma?
Lucchese won 2-1 on April 4, 2017.
Goalscorers
- 58′G. De FeoLucchese
- 62′Simone RaffiniLucchese
- 76′209266Racing Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lucchese have 3 wins, 6 draws and 6 defeats; Racing Roma have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Renate(away) | 0-0 | Serie C - Girone A |
| Mar 25, 2017 | Viterbese(away) | 0-2 | Serie C - Girone A |
| Mar 18, 2017 | PRO Piacenza(home) | 1-0 | Serie C - Girone A |
| Mar 11, 2017 | Prato(away) | 2-3 | Serie C - Girone A |
| Mar 5, 2017 | Como(home) | 1-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | PRO Piacenza(home) | 0-1 | Serie C - Girone A |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 0 Lucchese win(s), 1 draw(s), 0 Racing Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 20, 2016 | Racing Roma 0-0 Lucchese | Serie C - Girone A |
Last archived meeting: Racing Roma vs Lucchese on Nov 20, 2016
How many goals should we expect?
Lucchese score 0.9 and concede 1.2 goals per match over their last 15; Racing Roma score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lucchese | 0.9 | 1.2 | 4 | 9/15 | 6/15 |
| Racing Roma | 0.8 | 1.6 | 4 | 7/15 | 7/15 |
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