Pinerolo vs Borgosesia: result 4-1 and analysis
Serie D - Girone AGroup A - 29Kick-off on February 26, 2023 at 01:30 PM (UTC)Stadio Luigi Barbieri, Pinerolo
Full time
What was the result of Pinerolo vs Borgosesia?
Pinerolo won 4-1 on February 26, 2023.
Goalscorers
- 17′?Pinerolo
- 28′?Pinerolo
- 62′?Borgosesia
- 72′?Pinerolo
- 85′?Pinerolo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pinerolo have 3 wins, 7 draws and 5 defeats; Borgosesia have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2023 | Asti(away) | 1-2 | Serie D - Girone A |
| Feb 12, 2023 | Sanremese(away) | 0-1 | Serie D - Girone A |
| Feb 8, 2023 | Castanese(home) | 0-0 | Serie D - Girone A |
| Feb 4, 2023 | Bra(away) | 0-0 | Serie D - Girone A |
| Jan 29, 2023 | Legnano(home) | 2-1 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2023 | Ligorna(home) | 1-1 | Serie D - Girone A |
| Feb 12, 2023 | Castanese(away) | 0-0 | Serie D - Girone A |
| Feb 4, 2023 | Sanremese(away) | 1-1 | Serie D - Girone A |
| Jan 29, 2023 | Casale(home) | 1-0 | Serie D - Girone A |
| Jan 25, 2023 | Legnano(away) | 1-0 | Serie D - Girone A |
What does the head-to-head say?
Across the last 1 meetings: 0 Pinerolo win(s), 1 draw(s), 0 Borgosesia win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2022 | Borgosesia 1-1 Pinerolo | Serie D - Girone A |
Last archived meeting: Borgosesia vs Pinerolo on Oct 23, 2022
How many goals should we expect?
Pinerolo score 0.8 and concede 1.1 goals per match over their last 15; Borgosesia score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pinerolo | 0.8 | 1.1 | 4 | 7/15 | 5/15 |
| Borgosesia | 1.3 | 1.1 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy