Barletta vs Santa Maria Cilento: result 2-1 and analysis
Serie D - Girone HGroup H - 2Kick-off on September 17, 2023 at 02:00 PM (UTC)Stadio Cosimo Puttilli, Barletta
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What was the result of Barletta vs Santa Maria Cilento?
Barletta won 2-1 on September 17, 2023.
Goalscorers
- 11′E. SchelottoBarletta
- 74′?Santa Maria Cilento
- 90′M. Di PiazzaBarletta (pen.)
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; Santa Maria Cilento have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2023 | Paganese(away) | 0-1 | Serie D - Girone H |
| Sep 3, 2023 | Bitonto(home) | 1-1 | Coppa Italia Serie D |
| May 21, 2023 | Nardò(away) | 0-2 | Serie D - Promotion - Play-offs |
| May 7, 2023 | Città di Fasano(away) | 3-1 | Serie D - Girone H |
| Apr 30, 2023 | Nardò(home) | 3-2 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2023 | Gallipoli(home) | 0-1 | Serie D - Girone H |
| Sep 3, 2023 | Paganese(home) | 1-2 | Coppa Italia Serie D |
| May 6, 2023 | Mariglianese(home) | 2-1 | Serie D - Girone I |
| Apr 30, 2023 | Catania(away) | 0-2 | Serie D - Girone I |
| Apr 23, 2023 | Vibonese(home) | 3-0 | Serie D - Girone I |
How many goals should we expect?
Barletta score 1.3 and concede 1.1 goals per match over their last 15; Santa Maria Cilento score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Barletta | 1.3 | 1.1 | 5 | 8/15 | 5/15 |
| Santa Maria Cilento | 1.3 | 1.5 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Barletta | 34 | 20 | 10 | 4 | 54 | 20 | 70 |
A question about Barletta vs Santa Maria Cilento?
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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