Matese vs Avezzano: result 0-1 and analysis
Serie D - Girone FGroup F - 10Kick-off on November 5, 2023 at 01:30 PM (UTC)Stadio Comunale P. Ferrante, Piedimonte Matese
Full time
What was the result of Matese vs Avezzano?
Avezzano won 0-1 on November 5, 2023.
Goalscorers
- 90′?Avezzano
What is the recent form of both teams?
Over their last 15 matches in all competitions, Matese have 4 wins, 2 draws and 9 defeats; Avezzano have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2023 | Fossombrone(away) | 0-0 | Serie D - Girone F |
| Oct 29, 2023 | Sora(home) | 0-1 | Serie D - Girone F |
| Oct 22, 2023 | AJ Fano(away) | 0-1 | Serie D - Girone F |
| Oct 15, 2023 | Roma City(home) | 3-2 | Serie D - Girone F |
| Oct 8, 2023 | Tivoli(away) | 1-0 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2023 | Campobasso FC(home) | 2-1 | Serie D - Girone F |
| Oct 28, 2023 | Termoli Calcio(away) | 0-1 | Serie D - Girone F |
| Oct 22, 2023 | Chieti(home) | 1-1 | Serie D - Girone F |
| Oct 15, 2023 | United Riccione(away) | 2-1 | Serie D - Girone F |
| Oct 8, 2023 | Notaresco(home) | 1-2 | Serie D - Girone F |
What does the head-to-head say?
Across the last 2 meetings: 1 Matese win, 1 draw, 0 Avezzano wins.
| Date | Score | Competition |
|---|---|---|
| Mar 15, 2023 | Matese 2-2 Avezzano | Serie D - Girone F |
| Nov 13, 2022 | Avezzano 1-2 Matese | Serie D - Girone F |
How many goals should we expect?
Matese score 0.7 and concede 1.4 goals per match over their last 15; Avezzano score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matese | 0.7 | 1.4 | 4 | 4/15 | 5/15 |
| Avezzano | 1.6 | 1.1 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Matese vs Avezzano?
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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