YF Juventus vs Collina d'Oro: result 0-0 and analysis
1. Liga Classic - Group 3Group 3 - 6Kick-off on September 7, 2024 at 02:00 PM (UTC)Sportanlage Juchhof R4, Zürich
Full time
What was the result of YF Juventus vs Collina d'Oro?
YF Juventus and Collina d'Oro drew 0-0 on September 7, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, YF Juventus have 8 wins, 2 draws and 5 defeats; Collina d'Oro have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2024 | St. Gallen II(away) | 2-0 | 1. Liga Classic - Group 3 |
| Aug 24, 2024 | Uzwil(home) | 8-2 | 1. Liga Classic - Group 3 |
| Aug 20, 2024 | Freienbach(away) | 3-0 | 1. Liga Classic - Group 3 |
| Aug 17, 2024 | Zürich City(away) | 1-0 | Schweizer Cup |
| Aug 10, 2024 | Kosova(home) | 1-2 | 1. Liga Classic - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2024 | Mendrisio(home) | 1-0 | 1. Liga Classic - Group 3 |
| Aug 24, 2024 | Tuggen(away) | 0-3 | 1. Liga Classic - Group 3 |
| Aug 17, 2024 | Höngg(home) | 0-1 | 1. Liga Classic - Group 3 |
| Aug 10, 2024 | SV Schaffhausen(away) | 1-0 | 1. Liga Classic - Group 3 |
| Aug 3, 2024 | St. Gallen II(away) | 0-2 | 1. Liga Classic - Group 3 |
How many goals should we expect?
YF Juventus score 2.2 and concede 1.5 goals per match over their last 15; Collina d'Oro score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YF Juventus | 2.2 | 1.5 | 4 | 10/15 | 11/15 |
| Collina d'Oro | 1.5 | 0.8 | 7 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Collina d'Oro | 9 | 4 | 2 | 3 | 8 | 9 | 14 |
A question about YF Juventus vs Collina d'Oro?
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