Matera vs Bisceglie: result 0-3 and analysis
Serie C - Girone CGirone C - 24Kick-off on February 3, 2019 at 07:30 PM (UTC)Stadio XXI Settembre-Franco Salerno, Matera
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What was the result of Matera vs Bisceglie?
Bisceglie won 0-3 on February 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Matera have 3 wins, 3 draws and 9 defeats; Bisceglie have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2019 | Vibonese(home) | 1-6 | Serie C - Girone C |
| Jan 23, 2019 | Catania(away) | 0-3 | Serie C - Girone C |
| Jan 20, 2019 | Sicula Leonzio(home) | 0-4 | Serie C - Girone C |
| Dec 30, 2018 | Rieti(away) | 0-4 | Serie C - Girone C |
| Dec 26, 2018 | Reggiana(home) | 0-6 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2019 | Viterbese(home) | 0-1 | Serie C - Girone C |
| Jan 23, 2019 | Casertana(away) | 0-3 | Serie C - Girone C |
| Jan 20, 2019 | Reggiana(home) | 0-1 | Serie C - Girone C |
| Dec 30, 2018 | Vibonese(away) | 0-2 | Serie C - Girone C |
| Dec 26, 2018 | Cavese(away) | 0-2 | Serie C - Girone C |
What does the head-to-head say?
Across the last 3 meetings: 1 Matera win, 0 draws, 2 Bisceglie wins.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | Bisceglie 1-0 Matera | Serie C - Girone C |
| Mar 25, 2018 | Matera 2-1 Bisceglie | Serie C - Girone A |
| Nov 7, 2017 | Bisceglie 2-1 Matera | Serie C - Girone A |
How many goals should we expect?
Matera score 0.7 and concede 2.5 goals per match over their last 15; Bisceglie score 0.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matera | 0.7 | 2.5 | 2 | 5/15 | 9/15 |
| Bisceglie | 0.3 | 1.5 | 2 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about Matera vs Bisceglie?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy