Ischia vs Matera: result 1-2 and analysis
Serie D - Girone HGroup H - 6Kick-off on October 13, 2024 at 01:00 PM (UTC)Stadio Comunale Vincenzo Mazzella, Ischia
Full time
What was the result of Ischia vs Matera?
Matera won 1-2 on October 13, 2024.
Goalscorers
- 40′?Matera
- 72′Nicola TalamoIschia
- 81′P. BurzioMatera
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ischia have 8 wins, 2 draws and 5 defeats; Matera have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2024 | Angri Calcio(away) | 1-1 | Serie D - Girone H |
| Sep 29, 2024 | Città di Fasano(home) | 2-2 | Serie D - Girone H |
| Sep 22, 2024 | Virtus Francavilla(away) | 0-4 | Serie D - Girone H |
| Sep 15, 2024 | Martina Franca(home) | 0-3 | Serie D - Girone H |
| Sep 8, 2024 | Brindisi(away) | 1-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2024 | Gravina(home) | 1-1 | Serie D - Girone H |
| Sep 29, 2024 | Manfredonia(away) | 3-0 | Serie D - Girone H |
| Sep 22, 2024 | Fidelis Andria(home) | 0-0 | Serie D - Girone H |
| Sep 15, 2024 | Nardò(away) | 4-0 | Serie D - Girone H |
| Sep 8, 2024 | Francavilla(home) | 0-0 | Serie D - Girone H |
How many goals should we expect?
Ischia score 1.0 and concede 1.3 goals per match over their last 15; Matera score 1.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ischia | 1.0 | 1.3 | 6 | 4/15 | 6/15 |
| Matera | 1.7 | 0.8 | 7 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Ischia | 7 | 1 | 2 | 4 | 10 | 12 | 5 |
A question about Ischia 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