Sassuolo W vs Fiorentina W: result 2-4 and analysis
Serie A WomenSerie A Women - Round 3Kick-off on October 28, 2017 at 12:00 PM (UTC)
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What was the result of Sassuolo W vs Fiorentina W?
Fiorentina W won 2-4 on October 28, 2017.
What is the recent form of both teams?
Over their last 2 matches in all competitions, Sassuolo W have 0 wins, 0 draws and 2 defeats; Fiorentina W have 13, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Brescia W(away) | 1-2 | Serie A Women |
| Sep 30, 2017 | Tavagnacco W(home) | 0-4 | Serie A Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Bari Pink W(home) | 2-1 | Serie A Women |
| Sep 30, 2017 | Verona W(away) | 1-1 | Serie A Women |
| May 13, 2017 | RES Roma W(away) | 1-0 | Serie A Women |
| May 6, 2017 | Tavagnacco W(home) | 2-0 | Serie A Women |
| Apr 29, 2017 | Cuneo W(away) | 9-0 | Serie A Women |
How many goals should we expect?
Sassuolo W score 0.5 and concede 3.0 goals per match over their last 2; Fiorentina W score 3.6 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sassuolo W | 0.5 | 3.0 | 0 | 1/2 | 2/2 |
| Fiorentina W | 3.6 | 0.4 | 9 | 5/15 | 10/15 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
Sassuolo W sit 12th in Serie A Women (2 points from 6 matches) and Fiorentina W sit 4th (10 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Fiorentina W | 6 | 3 | 1 | 2 | 10 | 6 | 10 |
| 12 | Sassuolo W | 6 | 0 | 2 | 4 | 5 | 13 | 2 |
A question about Sassuolo W vs Fiorentina W?
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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