Barletta vs USD Palmese: result 1-1 and analysis
Serie D - Girone HGroup H - 9Kick-off on November 1, 2023 at 02:00 PM (UTC)Stadio Cosimo Puttilli, Barletta
Full time
What was the result of Barletta vs USD Palmese?
Barletta and USD Palmese drew 1-1 on November 1, 2023.
Goalscorers
- 32′E. SchelottoBarletta (pen.)
- 90′?USD Palmese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Barletta have 6 wins, 6 draws and 3 defeats; USD Palmese 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 |
|---|---|---|---|
| Oct 29, 2023 | Manfredonia(away) | 0-0 | Serie D - Girone H |
| Oct 22, 2023 | Gelbison(home) | 0-0 | Serie D - Girone H |
| Oct 15, 2023 | Matera(away) | 1-0 | Serie D - Girone H |
| Oct 8, 2023 | Bitonto(home) | 3-0 | Serie D - Girone H |
| Oct 1, 2023 | Nardò(away) | 0-3 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2023 | Città di Fasano(home) | 2-3 | Serie D - Girone H |
| Oct 22, 2023 | Santa Maria Cilento(away) | 0-2 | Serie D - Girone H |
| Oct 15, 2023 | Martina Franca(home) | 3-4 | Serie D - Girone H |
| Oct 8, 2023 | Angri Calcio(away) | 0-2 | Serie D - Girone H |
| Oct 1, 2023 | Casarano(home) | 1-1 | Serie D - Girone H |
How many goals should we expect?
Barletta score 1.0 and concede 0.8 goals per match over their last 15; USD Palmese score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Barletta | 1.0 | 0.8 | 7 | 5/15 | 5/15 |
| USD Palmese | 0.9 | 1.9 | 2 | 7/15 | 7/15 |
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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Barletta | 34 | 20 | 10 | 4 | 54 | 20 | 70 |
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