Pinerolo vs Lavagnese: result 3-1 and analysis
Serie D - Girone AGroup A - 8Kick-off on October 15, 2023 at 01:00 PM (UTC)Stadio Luigi Barbieri, Pinerolo
Full time
What was the result of Pinerolo vs Lavagnese?
Pinerolo won 3-1 on October 15, 2023.
Goalscorers
- 22′?Pinerolo
- 41′?Pinerolo
- 61′?Lavagnese
- 89′?Pinerolo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pinerolo have 3 wins, 6 draws and 6 defeats; Lavagnese have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Bra(away) | 1-1 | Serie D - Girone A |
| Oct 4, 2023 | Gozzano(home) | 0-3 | Serie D - Girone A |
| Oct 1, 2023 | Vogherese(away) | 0-1 | Serie D - Girone A |
| Sep 24, 2023 | Derthona(home) | 0-0 | Serie D - Girone A |
| Sep 20, 2023 | Chisola(away) | 0-1 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Derthona(home) | 1-1 | Serie D - Girone A |
| Oct 4, 2023 | Sanremese(away) | 0-2 | Serie D - Girone A |
| Oct 1, 2023 | PDHAE(home) | 1-0 | Serie D - Girone A |
| Sep 24, 2023 | Ligorna(away) | 0-0 | Serie D - Girone A |
| Sep 20, 2023 | Alba Calcio(home) | 1-1 | Serie D - Girone A |
How many goals should we expect?
Pinerolo score 0.7 and concede 1.1 goals per match over their last 15; Lavagnese score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pinerolo | 0.7 | 1.1 | 4 | 5/15 | 3/15 |
| Lavagnese | 1.0 | 1.9 | 2 | 9/15 | 8/15 |
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 | Lavagnese | 34 | 5 | 12 | 17 | 32 | 52 | 27 |
A question about Pinerolo vs Lavagnese?
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