Baden vs YF Juventus: result 3-1 and analysis
1. Liga PromotionRegular Season - 13Kick-off on October 22, 2022 at 02:00 PM (UTC)Stadion Esp, Fislisbach
Full time
What was the result of Baden vs YF Juventus?
Baden won 3-1 on October 22, 2022.
Goalscorers
- 22′?Baden
- 26′D. GiampàBaden
- 28′322142YF Juventus
- 88′?Baden
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baden have 7 wins, 3 draws and 5 defeats; YF Juventus have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2022 | Biel-Bienne(away) | 1-1 | 1. Liga Promotion |
| Oct 15, 2022 | Bulle(home) | 2-0 | 1. Liga Promotion |
| Oct 8, 2022 | Breitenrain(away) | 3-0 | 1. Liga Promotion |
| Oct 1, 2022 | Étoile Carouge(home) | 1-2 | 1. Liga Promotion |
| Sep 24, 2022 | Bavois(away) | 3-1 | 1. Liga Promotion |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2022 | Luzern II(home) | 0-1 | 1. Liga Promotion |
| Oct 15, 2022 | Biel-Bienne(away) | 1-2 | 1. Liga Promotion |
| Oct 8, 2022 | FC Chiasso(home) | 1-3 | 1. Liga Promotion |
| Oct 1, 2022 | Bulle(away) | 0-3 | 1. Liga Promotion |
| Sep 28, 2022 | Breitenrain(away) | 0-1 | 1. Liga Promotion |
How many goals should we expect?
Baden score 1.5 and concede 1.9 goals per match over their last 15; YF Juventus score 1.0 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baden | 1.5 | 1.9 | 6 | 7/15 | 9/15 |
| YF Juventus | 1.0 | 2.7 | 0 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | YF Juventus | 11 | 6 | 1 | 4 | 16 | 14 | 19 |
A question about Baden vs YF Juventus?
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