YF Juventus vs Stade Nyonnais: result 0-1 and analysis
1. Liga PromotionRegular Season - 13Kick-off on October 21, 2017 at 02:00 PM (UTC)Sportanlage Juchhof R4, Zürich
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What was the result of YF Juventus vs Stade Nyonnais?
Stade Nyonnais won 0-1 on October 21, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, YF Juventus have 2 wins, 3 draws and 7 defeats; Stade Nyonnais have 9, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | SC Kriens(away) | 0-0 | 1. Liga Promotion |
| Oct 7, 2017 | Köniz(home) | 2-2 | 1. Liga Promotion |
| Sep 30, 2017 | Brühl(away) | 1-5 | 1. Liga Promotion |
| Sep 27, 2017 | Zürich II(away) | 0-0 | 1. Liga Promotion |
| Sep 23, 2017 | Bavois(home) | 0-2 | 1. Liga Promotion |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Basel II(home) | 2-1 | 1. Liga Promotion |
| Oct 7, 2017 | Breitenrain(away) | 0-1 | 1. Liga Promotion |
| Sep 30, 2017 | United Zürich(home) | 1-0 | 1. Liga Promotion |
| Sep 23, 2017 | Cham(home) | 3-1 | 1. Liga Promotion |
| Sep 20, 2017 | SC Kriens(away) | 2-0 | 1. Liga Promotion |
How many goals should we expect?
YF Juventus score 0.8 and concede 1.8 goals per match over their last 12; Stade Nyonnais score 2.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YF Juventus | 0.8 | 1.8 | 4 | 5/12 | 6/12 |
| Stade Nyonnais | 2.1 | 0.8 | 5 | 5/12 | 7/12 |
Over the last 12 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 YF Juventus vs Stade Nyonnais?
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