Match

Florentia W vs Juventus W: result 0-3 and analysis

Serie A WomenRegular Season - 2Kick-off on September 29, 2018 at 01:00 PM (UTC)

Florentia W
0-3
Juventus W

Full time

What was the result of Florentia W vs Juventus W?

Juventus W won 0-3 on September 29, 2018.

Goalscorers

  • 27′B. BonanseaJuventus W
  • 51′B. BonanseaJuventus W
  • 67′V. CernoiaJuventus W (pen.)

Official lineup for Florentia W vs Juventus W

The starting elevens fielded at kick-off.

Florentia W

  1. GG. Orlandi
  2. GG. Domenichetti
  3. AA. Nencioni
  4. JJ. Hjohlman
  5. EE. Vicchiarello
  6. DD. Zazzera
  1. EE. Tona
  2. MM. Rodella
  3. TT. Dongus
  4. SS. Ceci
  1. RR. Baldi

Juventus W

  1. VV. Cernoia
  2. CC. Girelli
  1. AA. Galli
  2. AA. Caruso
  3. BB. Bonansea
  4. BB. Glionna
  5. PP. Ekroth
  6. AA. Sikora
  1. SS. Gama
  2. LL. Boattin
  1. LL. Giuliani
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What is the recent form of both teams?

In their last match in all competitions, Florentia W have 0 wins, 1 draw and 0 defeats; Juventus W have 12, 1 and 2.

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

Florentia W
DateOpponentScoreCompetition
Sep 22, 2018Verona W(away)2-2Serie A Women
Juventus W
DateOpponentScoreCompetition
Sep 23, 2018Chievo Verona W(home)6-0Serie A Women
May 20, 2018Brescia W(home)0-0Serie A Women
May 12, 2018Tavagnacco W(home)4-0Serie A Women
May 5, 2018Chievo Verona W(away)2-0Serie A Women
Apr 28, 2018Ravenna W(home)2-1Serie A Women

How many goals should we expect?

Florentia W score 2.0 and concede 2.0 goals per match in their last match; Juventus W score 2.9 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Florentia W2.02.001/11/1
Juventus W2.90.5105/1511/15

Over the last match in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
8Juventus W520310136

A question about Florentia W vs Juventus 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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