Francavilla vs Afragolese: result 1-2 and analysis
Serie D - Girone HGroup H - 3Kick-off on September 18, 2022 at 01:00 PM (UTC)Stadio Nunzio Fittipaldi, Francavilla in Sinni
Full time
What was the result of Francavilla vs Afragolese?
Afragolese won 1-2 on September 18, 2022.
Goalscorers
- 62′?Francavilla
- 69′A. EspositoAfragolese
- 86′Francesco ForteAfragolese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Francavilla have 6 wins, 4 draws and 5 defeats; Afragolese 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 |
|---|---|---|---|
| Sep 11, 2022 | Nocerina(away) | 1-1 | Serie D - Girone H |
| Sep 4, 2022 | Brindisi(home) | 0-2 | Serie D - Girone H |
| Aug 27, 2022 | Angri Calcio(home) | 2-2 | Coppa Italia Serie D |
| May 21, 2022 | Mariglianese(away) | 3-3 | Serie D - Girone H |
| May 15, 2022 | Bitonto(home) | 1-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2022 | Cavese(home) | 1-2 | Serie D - Girone H |
| Sep 4, 2022 | Bitonto(away) | 2-2 | Serie D - Girone H |
| Aug 28, 2022 | Puteolana(home) | 2-4 | Coppa Italia Serie D |
| May 25, 2022 | Team Nuova Florida(away) | 0-4 | Serie D - Girone G |
| May 22, 2022 | Muravera(home) | 2-1 | Serie D - Girone G |
How many goals should we expect?
Francavilla score 1.5 and concede 1.5 goals per match over their last 15; Afragolese score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Francavilla | 1.5 | 1.5 | 3 | 10/15 | 8/15 |
| Afragolese | 1.7 | 1.7 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Francavilla | 7 | 1 | 1 | 5 | 4 | 8 | 4 |
A question about Francavilla vs Afragolese?
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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