Match

Florentia W vs Roma W: result 1-2 and analysis

Serie A WomenRegular Season - 5Kick-off on October 27, 2018 at 01:00 PM (UTC)

Florentia W
1-2
Roma W

Full time

What was the result of Florentia W vs Roma W?

Roma W won 1-2 on October 27, 2018.

Goalscorers

  • 45′C. CiccottiRoma W
  • 65′Agnese BonfantiniRoma W
  • 84′90170Florentia W (pen.)

Official lineup for Florentia W vs Roma W

The starting elevens fielded at kick-off.

Florentia W

  1. GG. Orlandi
  2. GG. Domenichetti
  3. GG. Ferrandi
  4. AA. Nencioni
  5. JJ. Hjohlman
  6. EE. Vicchiarello
  1. EE. Tona
  2. MM. Rodella
  3. TT. Dongus
  4. MM. Filangeri
  1. RR. Baldi

Roma W

  1. MM. Piemonte
  1. CC. Ciccotti
  2. GG. Greggi
  3. AA. Serturini
  4. RR. Pipitone
  5. CC. Labate
  6. VV. Bernauer
  1. EE. Bartoli
  2. FF. Di Criscio
  3. EE. Lipman
  4. AA. Soffia
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Florentia W have 2 wins, 1 draw and 1 defeat; Roma W have 0, 0 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Florentia W
DateOpponentScoreCompetition
Oct 20, 2018Orobica W(away)2-0Serie A Women
Oct 14, 2018Chievo Verona W(home)2-1Serie A Women
Sep 29, 2018Juventus W(home)0-3Serie A Women
Sep 22, 2018Verona W(away)2-2Serie A Women
Roma W
DateOpponentScoreCompetition
Oct 21, 2018Juventus W(home)0-4Serie A Women
Oct 14, 2018Verona W(away)0-1Serie A Women
Sep 22, 2018Sassuolo W(away)2-3Serie A Women
May 27, 2018Sassuolo(home)0-3Serie A Women

How many goals should we expect?

Florentia W score 1.5 and concede 1.5 goals per match over their last 4; Roma W score 0.5 and concede 2.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Florentia W1.51.512/43/4
Roma W0.52.801/43/4

Over the last 4 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
1Roma W2200626

A question about Florentia W vs Roma 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

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