Livorno vs Viterbese: result 3-0 and analysis
Serie C - Girone ARegular Season - 13Kick-off on November 8, 2017 at 03:30 PM (UTC)Stadio Armando Picchi, Livorno
Full time
What was the result of Livorno vs Viterbese?
Livorno won 3-0 on November 8, 2017.
Goalscorers
- 41′A. DoumbiaLivorno
- 76′Andrea LuciLivorno
- 90′G. MorelliLivorno
What is the recent form of both teams?
Over their last 15 matches in all competitions, Livorno have 11 wins, 3 draws and 1 defeats; Viterbese have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Robur Siena(away) | 2-1 | Serie C - Girone A |
| Oct 29, 2017 | PRO Piacenza(home) | 3-0 | Serie C - Girone A |
| Oct 22, 2017 | Giana Erminio(home) | 2-1 | Serie C - Girone A |
| Oct 15, 2017 | Cuneo(away) | 4-0 | Serie C - Girone A |
| Oct 8, 2017 | Arezzo(home) | 1-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2017 | Lucchese(home) | 2-2 | Serie C - Girone A |
| Oct 29, 2017 | Arezzo(away) | 1-1 | Serie C - Girone A |
| Oct 22, 2017 | Robur Siena(home) | 1-3 | Serie C - Girone A |
| Oct 16, 2017 | Piacenza(away) | 1-0 | Serie C - Girone A |
| Oct 8, 2017 | Monza(home) | 0-1 | Serie C - Girone A |
What does the head-to-head say?
Across the last 2 meetings: 1 Livorno win(s), 1 draw(s), 0 Viterbese win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2017 | Livorno 1-0 Viterbese | Serie C - Girone A |
| Oct 30, 2016 | Viterbese 1-1 Livorno | Serie C - Girone A |
How many goals should we expect?
Livorno score 1.9 and concede 0.7 goals per match over their last 15; Viterbese score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Livorno | 1.9 | 0.7 | 8 | 6/15 | 9/15 |
| Viterbese | 1.7 | 1.4 | 4 | 10/15 | 9/15 |
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