Afragolese vs Team Altamura: result 1-2 and analysis
Serie D - Girone HGroup H - 11Kick-off on November 13, 2022 at 02:30 PM (UTC)Stadio Comunale Domenico Iorio, Casalnuovo
Full time
What was the result of Afragolese vs Team Altamura?
Team Altamura won 1-2 on November 13, 2022.
Goalscorers
- 42′G. MatteraTeam Altamura
- 87′?Afragolese
- 90′F. BertoloTeam Altamura
What is the recent form of both teams?
Over their last 15 matches in all competitions, Afragolese have 5 wins, 4 draws and 6 defeats; Team Altamura have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Barletta(away) | 0-2 | Serie D - Girone H |
| Oct 30, 2022 | Brindisi(away) | 1-2 | Serie D - Girone H |
| Oct 23, 2022 | Lavello(home) | 1-1 | Serie D - Girone H |
| Oct 16, 2022 | Casarano(away) | 2-2 | Serie D - Girone H |
| Oct 9, 2022 | Nocerina(home) | 3-1 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Lavello(home) | 3-0 | Serie D - Girone H |
| Nov 2, 2022 | Città di Fasano(away) | 1-0 | Coppa Italia Serie D |
| Oct 30, 2022 | Nocerina(away) | 3-2 | Serie D - Girone H |
| Oct 23, 2022 | Brindisi(home) | 1-1 | Serie D - Girone H |
| Oct 16, 2022 | Martina Franca(away) | 0-0 | Serie D - Girone H |
How many goals should we expect?
Afragolese score 1.7 and concede 1.7 goals per match over their last 15; Team Altamura score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Afragolese | 1.7 | 1.7 | 2 | 10/15 | 11/15 |
| Team Altamura | 1.5 | 0.9 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Afragolese | 34 | 13 | 10 | 11 | 45 | 46 | 49 |
A question about Afragolese vs Team Altamura?
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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