Zaccaria W vs Como 2000 W: result 3-1 and analysis
Serie A WomenSerie A Women - Round 16Kick-off on March 11, 2017 at 01:00 PM (UTC)
Full time
What was the result of Zaccaria W vs Como 2000 W?
Zaccaria W won 3-1 on March 11, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zaccaria W have 3 wins, 3 draws and 9 defeats; Como 2000 W have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | RES Roma W(away) | 0-0 | Serie A Women |
| Feb 11, 2017 | Tavagnacco W(home) | 2-2 | Serie A Women |
| Feb 4, 2017 | Brescia W(away) | 2-6 | Serie A Women |
| Feb 1, 2017 | Chieti W(home) | 5-0 | Serie A Women |
| Jan 28, 2017 | Cuneo W(home) | 3-3 | Serie A Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | Verona W(home) | 1-1 | Serie A Women |
| Feb 11, 2017 | Luserna W(away) | 2-1 | Serie A Women |
| Feb 4, 2017 | Chieti W(home) | 3-3 | Serie A Women |
| Jan 28, 2017 | Fiorentina W(away) | 0-3 | Serie A Women |
| Jan 7, 2017 | Tavagnacco W(home) | 2-1 | Serie A Women |
What does the head-to-head say?
In the last meeting: 1 Zaccaria W win, 0 draws, 0 Como 2000 W wins.
| Date | Score | Competition |
|---|---|---|
| Nov 12, 2016 | Como 2000 W 0-1 Zaccaria W | Serie A Women |
Last archived meeting: Como 2000 W vs Zaccaria W on Nov 12, 2016
How many goals should we expect?
Zaccaria W score 2.0 and concede 2.7 goals per match over their last 15; Como 2000 W score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zaccaria W | 2.0 | 2.7 | 3 | 11/15 | 12/15 |
| Como 2000 W | 1.1 | 2.1 | 1 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Zaccaria W vs Como 2000 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