Casertana vs Bari: result 0-3 and analysis
Serie C - Girone CGirone C - 19Kick-off on December 15, 2019 at 04:45 PM (UTC)Stadio Comunale Alberto Pinto, Caserta
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What was the result of Casertana vs Bari?
Bari won 0-3 on December 15, 2019.
Goalscorers
- 59′Z. HamliliBari
- 66′S. SimeriBari
- 83′Pasquale RainoneBari (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Casertana have 5 wins, 6 draws and 4 defeats; Bari have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Ternana(away) | 1-0 | Serie C - Girone C |
| Dec 1, 2019 | Paganese(home) | 1-3 | Serie C - Girone C |
| Nov 24, 2019 | Catania(away) | 1-1 | Serie C - Girone C |
| Nov 17, 2019 | Avellino(home) | 2-0 | Serie C - Girone C |
| Nov 10, 2019 | Reggiana(away) | 0-2 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Potenza(home) | 2-1 | Serie C - Girone C |
| Dec 1, 2019 | Rende(away) | 3-0 | Serie C - Girone C |
| Nov 24, 2019 | Teramo(home) | 1-1 | Serie C - Girone C |
| Nov 17, 2019 | Paganese(away) | 1-0 | Serie C - Girone C |
| Nov 10, 2019 | Bisceglie(away) | 3-0 | Serie C - Girone C |
How many goals should we expect?
Casertana score 1.5 and concede 1.3 goals per match over their last 15; Bari score 1.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Casertana | 1.5 | 1.3 | 4 | 10/15 | 7/15 |
| Bari | 1.7 | 0.6 | 8 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Casertana sit 9th in Serie C - Girone C (1 points from 1 matches) and Bari sit 2nd (3 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Bari | 1 | 1 | 0 | 0 | 3 | 0 | 3 |
| 9 | Casertana | 1 | 0 | 1 | 0 | 3 | 3 | 1 |
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