Bagnolese BP vs Tritium: result 3-1 and analysis
Serie D - Girone DGroup D - 9Kick-off on October 31, 2021 at 01:30 PM (UTC)Stadio Fratelli Campari, Bagnolo in Piano
Full time
What was the result of Bagnolese BP vs Tritium?
Bagnolese BP won 3-1 on October 31, 2021.
Goalscorers
- 10′?Bagnolese BP
- 22′?Bagnolese BP
- 82′?Tritium
- 86′?Bagnolese BP
What is the recent form of both teams?
Over their last 10 matches in all competitions, Bagnolese BP have 2 wins, 2 draws and 6 defeats; Tritium have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Ravenna(away) | 1-2 | Serie D - Girone D |
| Oct 20, 2021 | Prato(home) | 1-2 | Serie D - Girone D |
| Oct 16, 2021 | Lentigione(home) | 0-2 | Serie D - Girone D |
| Oct 10, 2021 | ASD Sasso Marconi(away) | 1-2 | Serie D - Girone D |
| Oct 6, 2021 | Ghivizzano Borgo Mozzano(home) | 1-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Seravezza(home) | 0-2 | Serie D - Girone D |
| Oct 20, 2021 | Lentigione(away) | 1-1 | Serie D - Girone D |
| Oct 17, 2021 | Athletic Carpi(home) | 3-3 | Serie D - Girone D |
| Oct 10, 2021 | Ghivizzano Borgo Mozzano(away) | 1-2 | Serie D - Girone D |
| Oct 6, 2021 | Alcione(home) | 2-1 | Serie D - Girone D |
How many goals should we expect?
Bagnolese BP score 1.0 and concede 1.7 goals per match over their last 10; Tritium score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bagnolese BP | 1.0 | 1.7 | 2 | 6/10 | 5/10 |
| Tritium | 1.1 | 1.8 | 2 | 9/15 | 9/15 |
Over the last 10 matches in all competitions.
A question about Bagnolese BP vs Tritium?
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