Empoli vs AS Roma: result 0-1 and analysis
Serie ARegular Season - 2Kick-off on September 13, 2014 at 04:00 PM (UTC)Stadio Carlo Castellani – Computer Gross Arena, Empoli
Full time
What was the result of Empoli vs AS Roma?
AS Roma won 0-1 on September 13, 2014.
Goalscorers
- 45′L. SepeAS Roma (o.g.)
Official lineup for Empoli vs AS Roma
The starting elevens fielded at kick-off.
Empoli
- 9Levan Mchedlidze
- 10F. Tavano
- 6M. Valdifiori
- 11D. Croce
- 18S. Verdi
- 88M. Vecino
- 2V. Laurini
- 23E. Hysaj
- 24D. Rugani
- 26L. Tonelli
- 33L. Sepe
AS Roma
- 22M. Destro
- 4R. Nainggolan
- 8A. Ljajić
- 15M. Pjanić
- 16D. De Rossi
- 24A. Florenzi
- 3A. Cole
- 5Leandro Castán da Silva
- 13Maicon Douglas Sisenando
- 44K. Manolas
- 26Morgan De Sanctis
What is the recent form of both teams?
In their last match in all competitions, Empoli have 0 wins, 0 draws and 1 defeat; AS Roma have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2014 | Udinese(away) | 0-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2014 | Fiorentina(home) | 2-0 | Serie A |
| May 18, 2014 | Genoa(away) | 0-1 | Serie A |
| May 11, 2014 | Juventus(home) | 0-1 | Serie A |
| May 4, 2014 | Catania(away) | 1-4 | Serie A |
| Apr 25, 2014 | AC Milan(home) | 2-0 | Serie A |
How many goals should we expect?
Empoli score 0.0 and concede 2.0 goals per match in their last match; AS Roma score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Empoli | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
| AS Roma | 1.7 | 0.9 | 6 | 6/15 | 6/15 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | AS Roma | 6 | 4 | 2 | 0 | 14 | 3 | 14 |
A question about Empoli vs AS Roma?
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