SS Monopoli vs Bisceglie: result 2-1 and analysis
Serie C - Girone CGirone C - 15Kick-off on November 16, 2019 at 07:45 PM (UTC)Stadio Vito Simone Veneziani, Monopoli
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What was the result of SS Monopoli vs Bisceglie?
SS Monopoli won 2-1 on November 16, 2019.
Goalscorers
- 33′G. FellaSS Monopoli
- 37′Álvaro MonteroBisceglie
- 45′G. CarrieroSS Monopoli
What is the recent form of both teams?
Over their last 15 matches in all competitions, SS Monopoli have 9 wins, 1 draws and 5 defeats; Bisceglie have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Viterbese(home) | 1-0 | Serie C - Girone C |
| Nov 3, 2019 | Rende(away) | 2-1 | Serie C - Girone C |
| Oct 27, 2019 | Potenza(home) | 3-0 | Serie C - Girone C |
| Oct 23, 2019 | Casertana(away) | 1-2 | Serie C - Girone C |
| Oct 20, 2019 | Reggiana(home) | 1-2 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Bari(home) | 0-3 | Serie C - Girone C |
| Nov 3, 2019 | Teramo(away) | 0-1 | Serie C - Girone C |
| Oct 27, 2019 | Virtus Francavilla(home) | 0-1 | Serie C - Girone C |
| Oct 23, 2019 | Catania(away) | 1-1 | Serie C - Girone C |
| Oct 20, 2019 | Ternana(home) | 0-1 | Serie C - Girone C |
How many goals should we expect?
SS Monopoli score 1.5 and concede 1.1 goals per match over their last 15; Bisceglie score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SS Monopoli | 1.5 | 1.1 | 6 | 7/15 | 7/15 |
| Bisceglie | 0.6 | 1.3 | 4 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | SS Monopoli | 38 | 15 | 11 | 12 | 39 | 41 | 56 |
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