RES Roma W vs Brescia W: result 0-3 and analysis
Serie A WomenSerie A Women - Round 20Kick-off on April 28, 2018 at 12:00 PM (UTC)
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What was the result of RES Roma W vs Brescia W?
Brescia W won 0-3 on April 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, RES Roma W have 6 wins, 0 draws and 9 defeats; Brescia W have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Sassuolo W(away) | 0-1 | Serie A Women |
| Apr 14, 2018 | Bari Pink W(home) | 2-1 | Serie A Women |
| Mar 25, 2018 | Verona W(away) | 0-3 | Serie A Women |
| Mar 17, 2018 | Empoli W(home) | 2-1 | Serie A Women |
| Mar 10, 2018 | Tavagnacco W(home) | 0-2 | Serie A Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Mozzanica W(home) | 2-3 | Serie A Women |
| Apr 14, 2018 | Juventus W(away) | 2-1 | Serie A Women |
| Mar 24, 2018 | Chievo Verona W(home) | 4-2 | Serie A Women |
| Mar 17, 2018 | Ravenna W(away) | 4-1 | Serie A Women |
| Mar 11, 2018 | Fiorentina W(home) | 1-0 | Serie A Women |
What does the head-to-head say?
Across the last 3 meetings: 0 RES Roma W wins, 0 draws, 3 Brescia W wins.
| Date | Score | Competition |
|---|---|---|
| Dec 16, 2017 | Brescia W 4-1 RES Roma W | Serie A Women |
| Feb 11, 2017 | Brescia W 3-0 RES Roma W | Serie A Women |
| Oct 29, 2016 | RES Roma W 0-1 Brescia W | Serie A Women |
Last archived meeting: Brescia W vs RES Roma W on Dec 16, 2017
How many goals should we expect?
RES Roma W score 0.9 and concede 1.3 goals per match over their last 15; Brescia W score 2.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RES Roma W | 0.9 | 1.3 | 4 | 3/15 | 7/15 |
| Brescia W | 2.9 | 1.1 | 5 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about RES Roma W vs Brescia 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