Lugano W vs Young Boys W: result 0-2 and analysis
AXA Women’s Super LeagueMatchday 7Kick-off on October 30, 2021 at 01:00 PM (UTC)Centro sportivo Cornaredo B2, Lugano
Full time
What was the result of Lugano W vs Young Boys W?
Young Boys W won 0-2 on October 30, 2021.
Goalscorers
- 34′?Young Boys W
- 45′?Young Boys W
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lugano W have 2 wins, 1 draw and 12 defeats; Young Boys W have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Zürich W(away) | 0-7 | AXA Women’s Super League |
| Oct 3, 2021 | Basel W(home) | 0-3 | AXA Women’s Super League |
| Sep 25, 2021 | Grasshopper W(away) | 0-2 | AXA Women’s Super League |
| Sep 11, 2021 | Aarau W(home) | 0-0 | AXA Women’s Super League |
| Aug 28, 2021 | Servette Chênois W(away) | 1-3 | AXA Women’s Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Luzern W(home) | 2-2 | AXA Women’s Super League |
| Oct 2, 2021 | St. Gallen W(away) | 0-1 | AXA Women’s Super League |
| Sep 25, 2021 | Yverdon W(home) | 2-1 | AXA Women’s Super League |
| Sep 12, 2021 | Servette Chênois W(home) | 0-3 | AXA Women’s Super League |
| Aug 28, 2021 | Zürich W(away) | 0-7 | AXA Women’s Super League |
How many goals should we expect?
Lugano W score 0.7 and concede 2.7 goals per match over their last 15; Young Boys W score 0.8 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lugano W | 0.7 | 2.7 | 1 | 8/15 | 12/15 |
| Young Boys W | 0.8 | 2.3 | 1 | 2/6 | 4/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Young Boys W | 11 | 7 | 3 | 1 | 22 | 14 | 24 |
A question about Lugano W vs Young Boys W?
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