Livorno vs Benevento: result 0-2 and analysis
Serie BRegular Season - 16Kick-off on December 14, 2019 at 05:00 PM (UTC)Stadio Armando Picchi, Livorno
Full time
What was the result of Livorno vs Benevento?
Benevento won 0-2 on December 14, 2019.
Goalscorers
- 13′O. KraglBenevento
- 85′G. LetiziaBenevento
What is the recent form of both teams?
Over their last 15 matches in all competitions, Livorno have 3 wins, 2 draws and 10 defeats; Benevento have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2019 | Spezia(away) | 0-2 | Serie B |
| Nov 30, 2019 | Cremonese(away) | 0-0 | Serie B |
| Nov 23, 2019 | Trapani(home) | 1-2 | Serie B |
| Nov 9, 2019 | Venezia(away) | 0-1 | Serie B |
| Nov 2, 2019 | Juve Stabia(home) | 2-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2019 | Trapani(home) | 5-0 | Serie B |
| Nov 30, 2019 | Venezia(away) | 2-0 | Serie B |
| Nov 23, 2019 | Crotone(home) | 2-0 | Serie B |
| Nov 9, 2019 | Juve Stabia(away) | 1-1 | Serie B |
| Nov 3, 2019 | Empoli(home) | 2-0 | Serie B |
What does the head-to-head say?
Across the last 2 meetings: 1 Livorno win(s), 0 draw(s), 1 Benevento win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 4, 2019 | Livorno 2-0 Benevento | Serie B |
| Oct 22, 2018 | Benevento 1-0 Livorno | Serie B |
How many goals should we expect?
Livorno score 0.8 and concede 1.4 goals per match over their last 15; Benevento score 1.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Livorno | 0.8 | 1.4 | 2 | 6/15 | 5/15 |
| Benevento | 1.7 | 0.5 | 10 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Benevento | 1 | 0 | 0 | 1 | 1 | 2 | 0 |
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