Martina Franca vs Matera: result 2-2 and analysis
Serie D - Girone HGroup H · Matchday 9Kick-off on October 30, 2022 at 02:00 PM (UTC)Stadio Gian Domenico Tursi, Martina Franca
Full time
What was the result of Martina Franca vs Matera?
Martina Franca and Matera drew 2-2 on October 30, 2022.
Goalscorers
- 2′?Martina Franca
- 46′?Martina Franca
- 60′Vincenzo FerraraMatera
- 90′Vincenzo FerraraMatera
What is the recent form of both teams?
Over their last 9 matches in all competitions, Martina Franca have 3 wins, 2 draws and 4 defeats; Matera have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Puteolana(away) | 3-1 | Serie D - Girone H |
| Oct 16, 2022 | Team Altamura(home) | 0-0 | Serie D - Girone H |
| Oct 9, 2022 | Barletta(away) | 2-0 | Serie D - Girone H |
| Oct 2, 2022 | Brindisi(home) | 0-2 | Serie D - Girone H |
| Sep 28, 2022 | Afragolese(away) | 0-3 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Casarano(home) | 2-2 | Serie D - Girone H |
| Oct 16, 2022 | Francavilla(away) | 0-2 | Serie D - Girone H |
| Oct 12, 2022 | Bitonto(home) | 0-1 | Serie D - Girone H |
| Oct 8, 2022 | Gravina(home) | 1-1 | Serie D - Girone H |
| Oct 2, 2022 | Cavese(away) | 0-4 | Serie D - Girone H |
How many goals should we expect?
Martina Franca score 1.1 and concede 1.4 goals per match over their last 9; Matera score 0.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Martina Franca | 1.1 | 1.4 | 2 | 4/9 | 4/9 |
| Matera | 0.5 | 2.3 | 0 | 4/15 | 10/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Martina Franca | 11 | 7 | 1 | 3 | 20 | 11 | 22 |
A question about Martina Franca vs Matera?
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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