Juventus W vs Sassuolo W: result 2-0 and analysis
Serie A WomenSerie A Women - Round 6Kick-off on November 18, 2017 at 12:30 PM (UTC)
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What was the result of Juventus W vs Sassuolo W?
Juventus W won 2-0 on November 18, 2017.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Juventus W have 5 wins, 0 draws and 0 defeats; Sassuolo W have 0, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2017 | Bari Pink W(away) | 2-1 | Serie A Women |
| Nov 4, 2017 | Verona W(home) | 1-0 | Serie A Women |
| Oct 28, 2017 | Empoli W(away) | 4-1 | Serie A Women |
| Oct 7, 2017 | RES Roma W(home) | 4-0 | Serie A Women |
| Sep 30, 2017 | Mozzanica W(away) | 3-0 | Serie A Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2017 | Chievo Verona W(home) | 0-1 | Serie A Women |
| Nov 4, 2017 | Ravenna W(away) | 0-2 | Serie A Women |
| Oct 28, 2017 | Fiorentina W(home) | 2-4 | Serie A Women |
| Oct 7, 2017 | Brescia W(away) | 1-2 | Serie A Women |
| Sep 30, 2017 | Tavagnacco W(home) | 0-4 | Serie A Women |
How many goals should we expect?
Juventus W score 2.8 and concede 0.4 goals per match over their last 5; Sassuolo W score 0.6 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus W | 2.8 | 0.4 | 3 | 2/5 | 4/5 |
| Sassuolo W | 0.6 | 2.6 | 0 | 2/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Juventus W sit 8th in Serie A Women (3 points from 3 matches) and Sassuolo W sit 12th (0 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Juventus W | 3 | 1 | 0 | 2 | 6 | 7 | 3 |
| 12 | Sassuolo W | 3 | 0 | 0 | 3 | 2 | 9 | 0 |
A question about Juventus W vs Sassuolo 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