Stresa vs Borgosesia: result 1-2 and analysis
Serie D - Girone AGroup A - 11Kick-off on October 29, 2022 at 01:00 PM (UTC)Stadio Comunale Luigi Forlano, Stresa
Full time
What was the result of Stresa vs Borgosesia?
Borgosesia won 1-2 on October 29, 2022.
Goalscorers
- 8′?Borgosesia
- 77′Bruno Ignacio BarrancoStresa
- 90′194876Borgosesia
What is the recent form of both teams?
Over their last 11 matches in all competitions, Stresa have 2 wins, 4 draws and 5 defeats; Borgosesia have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Casale(away) | 2-2 | Serie D - Girone A |
| Oct 16, 2022 | Vado(home) | 2-3 | Serie D - Girone A |
| Oct 9, 2022 | Fossano(away) | 1-1 | Serie D - Girone A |
| Oct 5, 2022 | Chieri(home) | 3-0 | Serie D - Girone A |
| Oct 2, 2022 | Castellanzese(away) | 0-1 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Pinerolo(home) | 1-1 | Serie D - Girone A |
| Oct 16, 2022 | Ligorna(away) | 0-2 | Serie D - Girone A |
| Oct 9, 2022 | Castanese(home) | 3-4 | Serie D - Girone A |
| Oct 5, 2022 | Vado(away) | 2-3 | Serie D - Girone A |
| Oct 2, 2022 | Sanremese(home) | 3-4 | Serie D - Girone A |
How many goals should we expect?
Stresa score 1.2 and concede 1.8 goals per match over their last 11; Borgosesia score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stresa | 1.2 | 1.8 | 2 | 5/11 | 6/11 |
| Borgosesia | 1.3 | 1.8 | 3 | 9/15 | 7/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Borgosesia | 8 | 2 | 3 | 3 | 9 | 12 | 9 |
A question about Stresa vs Borgosesia?
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