NovaRomentin vs Chisola: result 3-0 and analysis
Serie D - Girone AGroup A - 6Kick-off on October 2, 2024 at 01:00 PM (UTC)Campo Sportivo Romentino, Romentino
Full time
What was the result of NovaRomentin vs Chisola?
NovaRomentin won 3-0 on October 2, 2024.
Goalscorers
- 4′?NovaRomentin
- 39′?NovaRomentin (pen.)
- 81′?NovaRomentin
What is the recent form of both teams?
Over their last 6 matches in all competitions, NovaRomentin have 2 wins, 2 draws and 2 defeats; Chisola have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2024 | Chieri(away) | 1-0 | Serie D - Girone A |
| Sep 22, 2024 | Lavagnese(away) | 0-1 | Serie D - Girone A |
| Sep 18, 2024 | Oltrepò(home) | 3-0 | Serie D - Girone A |
| Sep 14, 2024 | Vado(away) | 1-2 | Serie D - Girone A |
| Sep 8, 2024 | Derthona(home) | 1-1 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2024 | Oltrepò(home) | 4-2 | Serie D - Girone A |
| Sep 22, 2024 | Derthona(away) | 1-2 | Serie D - Girone A |
| Sep 18, 2024 | Lavagnese(home) | 1-2 | Serie D - Girone A |
| Sep 15, 2024 | Saluzzo(away) | 0-0 | Serie D - Girone A |
| Sep 8, 2024 | Vado(home) | 1-1 | Serie D - Girone A |
How many goals should we expect?
NovaRomentin score 1.2 and concede 0.8 goals per match over their last 6; Chisola score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NovaRomentin | 1.2 | 0.8 | 2 | 3/6 | 2/6 |
| Chisola | 1.9 | 1.5 | 1 | 12/15 | 12/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Chisola | 6 | 2 | 2 | 2 | 9 | 7 | 8 |
A question about NovaRomentin vs Chisola?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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