YF Juventus vs Breitenrain: result 6-3 and analysis
1. Liga PromotionRegular Season - 15Kick-off on November 4, 2017 at 03:00 PM (UTC)Sportanlage Juchhof R4, Zürich
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What was the result of YF Juventus vs Breitenrain?
YF Juventus won 6-3 on November 4, 2017.
What is the recent form of both teams?
Over their last 14 matches in all competitions, YF Juventus have 3 wins, 3 draws and 8 defeats; Breitenrain have 6, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | United Zürich(away) | 6-0 | 1. Liga Promotion |
| Oct 21, 2017 | Stade Nyonnais(home) | 0-1 | 1. Liga Promotion |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Basel II(home) | 2-2 | 1. Liga Promotion |
| Oct 21, 2017 | Cham(home) | 2-2 | 1. Liga Promotion |
| Oct 14, 2017 | United Zürich(away) | 5-2 | 1. Liga Promotion |
| Oct 7, 2017 | Stade Nyonnais(home) | 1-0 | 1. Liga Promotion |
| Sep 30, 2017 | SC Kriens(away) | 0-2 | 1. Liga Promotion |
How many goals should we expect?
YF Juventus score 1.1 and concede 1.6 goals per match over their last 14; Breitenrain score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YF Juventus | 1.1 | 1.6 | 5 | 5/14 | 7/14 |
| Breitenrain | 1.8 | 1.9 | 2 | 9/14 | 10/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
YF Juventus sit 16th in 1. Liga Promotion (3 points from 4 matches) and Breitenrain sit 6th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Breitenrain | 4 | 2 | 1 | 1 | 9 | 7 | 7 |
| 16 | YF Juventus | 4 | 1 | 0 | 3 | 4 | 10 | 3 |
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