Team Altamura vs Rotonda: result 2-0 and analysis
Serie D - Girone HGroup H - 10Kick-off on November 7, 2021 at 02:00 PM (UTC)Stadio Comunale Tonino D'Angelo, Altamura
Full time
What was the result of Team Altamura vs Rotonda?
Team Altamura won 2-0 on November 7, 2021.
Goalscorers
- 43′?Team Altamura
- 89′Salvatore MolinaroTeam Altamura
What is the recent form of both teams?
Over their last 15 matches in all competitions, Team Altamura have 3 wins, 6 draws and 6 defeats; Rotonda have 5, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2021 | Molfetta Calcio(home) | 2-2 | Coppa Italia Serie D |
| Oct 31, 2021 | Bitonto(away) | 1-2 | Serie D - Girone H |
| Oct 24, 2021 | Francavilla(home) | 0-1 | Serie D - Girone H |
| Oct 20, 2021 | Virtus Matino(away) | 2-0 | Serie D - Girone H |
| Oct 17, 2021 | Mariglianese(home) | 2-2 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2021 | Molfetta Calcio(home) | 3-0 | Serie D - Girone H |
| Oct 24, 2021 | Città di Fasano(away) | 1-0 | Serie D - Girone H |
| Oct 20, 2021 | Sorrento(home) | 3-0 | Serie D - Girone H |
| Oct 17, 2021 | San Giorgio(away) | 1-1 | Serie D - Girone H |
| Oct 10, 2021 | Brindisi(away) | 2-0 | Serie D - Girone H |
How many goals should we expect?
Team Altamura score 1.0 and concede 1.1 goals per match over their last 15; Rotonda score 1.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Team Altamura | 1.0 | 1.1 | 5 | 7/15 | 5/15 |
| Rotonda | 1.4 | 0.8 | 5 | 3/10 | 4/10 |
Over the last 15 matches in all competitions.
A question about Team Altamura vs Rotonda?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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