RES Roma W vs Ravenna W: result 1-1 and analysis
Serie A WomenSerie A Women - Round 22Kick-off on May 12, 2018 at 12:00 PM (UTC)
Full time
What was the result of RES Roma W vs Ravenna W?
RES Roma W and Ravenna W drew 1-1 on May 12, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, RES Roma W have 4 wins, 0 draws and 11 defeats; Ravenna W have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Fiorentina W(away) | 0-5 | Serie A Women |
| Apr 28, 2018 | Brescia W(home) | 0-3 | Serie A Women |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Mozzanica W(home) | 1-3 | Serie A Women |
| Apr 28, 2018 | Juventus W(away) | 1-2 | Serie A Women |
| Apr 21, 2018 | Chievo Verona W(home) | 1-1 | Serie A Women |
| Apr 14, 2018 | Tavagnacco W(away) | 1-0 | Serie A Women |
| Mar 24, 2018 | Fiorentina W(away) | 0-4 | Serie A Women |
What does the head-to-head say?
In the last meeting: 1 RES Roma W win, 0 draws, 0 Ravenna W wins.
| Date | Score | Competition |
|---|---|---|
| Jan 27, 2018 | Ravenna W 0-1 RES Roma W | Serie A Women |
Last archived meeting: Ravenna W vs RES Roma W on Jan 27, 2018
How many goals should we expect?
RES Roma W score 0.5 and concede 1.9 goals per match over their last 15; Ravenna W score 1.1 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RES Roma W | 0.5 | 1.9 | 2 | 3/15 | 7/15 |
| Ravenna W | 1.1 | 2.5 | 1 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about RES Roma W vs Ravenna 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