Puteolana vs Matera: result 1-2 and analysis
Serie D - Girone HGroup H - 34Kick-off on May 6, 2023 at 01:00 PM (UTC)Stadio Domenico Conte, Pozzuoli
Full time
What was the result of Puteolana vs Matera?
Matera won 1-2 on May 6, 2023.
Goalscorers
- 35′?Puteolana
- 65′Francesco RussoMatera
- 88′?Matera
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puteolana have 3 wins, 2 draws and 10 defeats; Matera have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2023 | Lavello(away) | 3-4 | Serie D - Girone H |
| Apr 23, 2023 | Team Altamura(home) | 0-3 | Serie D - Girone H |
| Apr 16, 2023 | Barletta(away) | 0-0 | Serie D - Girone H |
| Apr 6, 2023 | Brindisi(home) | 1-2 | Serie D - Girone H |
| Apr 2, 2023 | Afragolese(away) | 1-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2023 | Città di Fasano(home) | 1-1 | Serie D - Girone H |
| Apr 23, 2023 | Barletta(home) | 1-1 | Serie D - Girone H |
| Apr 16, 2023 | Lavello(away) | 3-1 | Serie D - Girone H |
| Apr 6, 2023 | Afragolese(home) | 1-1 | Serie D - Girone H |
| Apr 2, 2023 | Team Altamura(away) | 1-3 | Serie D - Girone H |
What does the head-to-head say?
In the last meeting: 0 Puteolana wins, 0 draws, 1 Matera win.
| Date | Score | Competition |
|---|---|---|
| Dec 21, 2022 | Matera 2-0 Puteolana | Serie D - Girone H |
How many goals should we expect?
Puteolana score 1.3 and concede 1.8 goals per match over their last 15; Matera score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puteolana | 1.3 | 1.8 | 3 | 7/15 | 9/15 |
| Matera | 1.5 | 1.1 | 3 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Puteolana vs Matera?
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