Bari vs Cavese: result 4-0 and analysis
Serie C - Girone CGirone C - 8Kick-off on October 6, 2019 at 01:00 PM (UTC)Stadio Comunale San Nicola, Bari
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What was the result of Bari vs Cavese?
Bari won 4-0 on October 6, 2019.
Goalscorers
- 18′V. Di CesareBari
- 28′M. AntenucciBari
- 60′F. CostaBari
- 67′A. SabbioneBari
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bari have 6 wins, 6 draws and 3 defeats; Cavese have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | AZ Picerno(away) | 1-0 | Serie C - Girone C |
| Sep 25, 2019 | SS Monopoli(home) | 1-1 | Serie C - Girone C |
| Sep 22, 2019 | Virtus Francavilla(away) | 0-1 | Serie C - Girone C |
| Sep 16, 2019 | Reggiana(home) | 1-1 | Serie C - Girone C |
| Sep 8, 2019 | Rieti(away) | 2-1 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Avellino(home) | 2-0 | Serie C - Girone C |
| Sep 25, 2019 | Catania(away) | 0-4 | Serie C - Girone C |
| Sep 22, 2019 | Paganese(home) | 1-0 | Serie C - Girone C |
| Sep 15, 2019 | Teramo(away) | 0-2 | Serie C - Girone C |
| Sep 8, 2019 | Vibonese(home) | 1-1 | Serie C - Girone C |
How many goals should we expect?
Bari score 1.3 and concede 0.9 goals per match over their last 15; Cavese score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bari | 1.3 | 0.9 | 4 | 9/15 | 4/15 |
| Cavese | 1.1 | 2.0 | 3 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bari sit 2nd in Serie C - Girone C (3 points from 1 matches) and Cavese sit 20th (0 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Bari | 1 | 1 | 0 | 0 | 3 | 0 | 3 |
| 20 | Cavese | 1 | 0 | 0 | 1 | 0 | 3 | 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