Sassuolo W vs Bari Pink W: result 4-2 and analysis
Serie A WomenSerie A Women - Round 11Kick-off on January 27, 2018 at 12:30 PM (UTC)
Full time
What was the result of Sassuolo W vs Bari Pink W?
Sassuolo W won 4-2 on January 27, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Sassuolo W have 1 win, 1 draw and 8 defeats; Bari Pink W have 4, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2018 | Verona W(away) | 2-2 | Serie A Women |
| Dec 16, 2017 | Empoli W(home) | 0-1 | Serie A Women |
| Dec 9, 2017 | RES Roma W(away) | 1-0 | Serie A Women |
| Dec 2, 2017 | Mozzanica W(home) | 1-2 | Serie A Women |
| Nov 18, 2017 | Juventus W(away) | 0-2 | Serie A Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2018 | Tavagnacco W(home) | 1-0 | Serie A Women |
| Dec 16, 2017 | Verona W(home) | 3-1 | Serie A Women |
| Dec 9, 2017 | Empoli W(away) | 1-0 | Serie A Women |
| Dec 2, 2017 | RES Roma W(home) | 1-0 | Serie A Women |
| Nov 18, 2017 | Mozzanica W(away) | 0-4 | Serie A Women |
How many goals should we expect?
Sassuolo W score 0.7 and concede 2.0 goals per match over their last 10; Bari Pink W score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sassuolo W | 0.7 | 2.0 | 1 | 4/10 | 5/10 |
| Bari Pink W | 0.8 | 1.7 | 4 | 3/10 | 5/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Sassuolo W | 5 | 0 | 2 | 3 | 4 | 11 | 2 |
A question about Sassuolo W vs Bari Pink W?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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