Puteolana vs Brindisi: result 1-2 and analysis
Serie D - Girone HGroup H - 30Kick-off on April 6, 2023 at 01:00 PM (UTC)Stadio Domenico Conte, Pozzuoli
Full time
What was the result of Puteolana vs Brindisi?
Brindisi won 1-2 on April 6, 2023.
Goalscorers
- 12′A. SirriBrindisi
- 22′G. DammaccoBrindisi
- 39′?Puteolana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puteolana have 4 wins, 1 draws and 10 defeats; Brindisi have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2023 | Afragolese(away) | 1-0 | Serie D - Girone H |
| Mar 19, 2023 | Casarano(home) | 0-1 | Serie D - Girone H |
| Mar 12, 2023 | Nocerina(away) | 0-2 | Serie D - Girone H |
| Mar 5, 2023 | Gravina(home) | 0-1 | Serie D - Girone H |
| Feb 26, 2023 | Martina Franca(away) | 1-2 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Città di Fasano(home) | 3-0 | Serie D - Girone H |
| Mar 15, 2023 | Barletta(away) | 4-1 | Serie D - Girone H |
| Mar 11, 2023 | Matera(home) | 1-0 | Serie D - Girone H |
| Mar 5, 2023 | Afragolese(away) | 4-0 | Serie D - Girone H |
| Feb 26, 2023 | Team Altamura(home) | 1-1 | Serie D - Girone H |
What does the head-to-head say?
Across the last 1 meetings: 0 Puteolana win(s), 0 draw(s), 1 Brindisi win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2022 | Brindisi 1-0 Puteolana | Serie D - Girone H |
Last archived meeting: Brindisi vs Puteolana on Nov 27, 2022
How many goals should we expect?
Puteolana score 1.3 and concede 1.7 goals per match over their last 15; Brindisi score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puteolana | 1.3 | 1.7 | 2 | 8/15 | 9/15 |
| Brindisi | 1.8 | 0.7 | 6 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
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