RES Roma W vs Mozzanica W: result 0-1 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 RES Roma W vs Mozzanica W?
Mozzanica W won 0-1 on October 28, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, RES Roma W have 5 wins, 3 draws and 7 defeats; Mozzanica W have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Juventus W(away) | 0-4 | Serie A Women |
| Sep 30, 2017 | Chievo Verona W(home) | 3-0 | Serie A Women |
| May 13, 2017 | Fiorentina W(home) | 0-1 | Serie A Women |
| May 6, 2017 | Verona W(away) | 1-2 | Serie A Women |
| Apr 29, 2017 | Como 2000 W(home) | 0-0 | Serie A Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Tavagnacco W(away) | 2-5 | Serie A Women |
| Sep 30, 2017 | Juventus W(home) | 0-3 | Serie A Women |
| May 13, 2017 | Zaccaria W(away) | 7-1 | Serie A Women |
| May 6, 2017 | Brescia W(home) | 1-1 | Serie A Women |
| Apr 29, 2017 | Chieti W(away) | 4-2 | Serie A Women |
What does the head-to-head say?
Across the last 2 meetings: 1 RES Roma W win, 0 draws, 1 Mozzanica W win.
| Date | Score | Competition |
|---|---|---|
| Jan 28, 2017 | Mozzanica W 2-0 RES Roma W | Serie A Women |
| Oct 1, 2016 | RES Roma W 3-0 Mozzanica W | Serie A Women |
Last archived meeting: Mozzanica W vs RES Roma W on Jan 28, 2017
How many goals should we expect?
RES Roma W score 1.1 and concede 1.7 goals per match over their last 15; Mozzanica W score 2.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RES Roma W | 1.1 | 1.7 | 4 | 5/15 | 10/15 |
| Mozzanica W | 2.5 | 1.7 | 5 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about RES Roma W vs Mozzanica 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