YF Juventus vs Black Stars: result 4-0 and analysis
1. Liga PromotionRegular Season - 12Kick-off on October 24, 2020 at 02:00 PM (UTC)Sportanlage Juchhof R4, Zürich
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What was the result of YF Juventus vs Black Stars?
YF Juventus won 4-0 on October 24, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, YF Juventus have 5 wins, 4 draws and 6 defeats; Black Stars have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | Sion II(away) | 0-0 | 1. Liga Promotion |
| Oct 10, 2020 | Cham(home) | 1-2 | 1. Liga Promotion |
| Oct 3, 2020 | Rapperswil(away) | 1-5 | 1. Liga Promotion |
| Sep 26, 2020 | Basel II(home) | 2-1 | 1. Liga Promotion |
| Sep 19, 2020 | Breitenrain(away) | 2-2 | 1. Liga Promotion |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | Köniz(home) | 0-1 | 1. Liga Promotion |
| Oct 10, 2020 | Brühl(away) | 2-0 | 1. Liga Promotion |
| Oct 3, 2020 | Sion II(away) | 5-1 | 1. Liga Promotion |
| Sep 30, 2020 | Bellinzona(home) | 0-0 | 1. Liga Promotion |
| Sep 26, 2020 | Cham(home) | 2-3 | 1. Liga Promotion |
What does the head-to-head say?
Across the last 1 meetings: 0 YF Juventus win(s), 0 draw(s), 1 Black Stars win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2019 | YF Juventus 0-1 Black Stars | 1. Liga Promotion |
Last archived meeting: YF Juventus vs Black Stars on Sep 21, 2019
How many goals should we expect?
YF Juventus score 1.7 and concede 2.3 goals per match over their last 15; Black Stars score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YF Juventus | 1.7 | 2.3 | 1 | 13/15 | 12/15 |
| Black Stars | 1.4 | 1.7 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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