Brindisi vs Barletta: result 1-2 and analysis
Serie D - Girone HGroup H - 11Kick-off on November 13, 2022 at 02:00 PM (UTC)Stadio Franco Fanuzzi, Brindisi
Full time
What was the result of Brindisi vs Barletta?
Barletta won 1-2 on November 13, 2022.
Goalscorers
- 10′G. MancarellaBrindisi
- 13′?Barletta
- 42′?Barletta
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brindisi have 7 wins, 3 draws and 5 defeats; Barletta have 6, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Matera(away) | 1-2 | Serie D - Girone H |
| Oct 30, 2022 | Afragolese(home) | 2-1 | Serie D - Girone H |
| Oct 23, 2022 | Team Altamura(away) | 1-1 | Serie D - Girone H |
| Oct 16, 2022 | Nocerina(away) | 0-3 | Serie D - Girone H |
| Oct 9, 2022 | Lavello(home) | 4-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Afragolese(home) | 2-0 | Serie D - Girone H |
| Oct 30, 2022 | Casarano(away) | 1-1 | Serie D - Girone H |
| Oct 23, 2022 | Nocerina(home) | 1-1 | Serie D - Girone H |
| Oct 16, 2022 | Gravina(away) | 0-0 | Serie D - Girone H |
| Oct 9, 2022 | Martina Franca(home) | 0-2 | Serie D - Girone H |
How many goals should we expect?
Brindisi score 1.7 and concede 1.3 goals per match over their last 15; Barletta score 0.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brindisi | 1.7 | 1.3 | 3 | 9/15 | 9/15 |
| Barletta | 0.8 | 0.6 | 7 | 3/12 | 0/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Brindisi | 7 | 4 | 0 | 3 | 9 | 8 | 12 |
A question about Brindisi vs Barletta?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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