Pomigliano W vs Empoli W: result 2-2 and analysis
Serie A WomenRegular Season - 2Kick-off on September 5, 2021 at 03:30 PM (UTC)
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What was the result of Pomigliano W vs Empoli W?
Pomigliano W and Empoli W drew 2-2 on September 5, 2021.
Goalscorers
- 24′C. PrugnaEmpoli W (pen.)
- 37′A. BragonziEmpoli W (pen.)
- 85′G. MoracaPomigliano W
- 90′D. CoxPomigliano W
Official lineup for Pomigliano W vs Empoli W
The starting elevens fielded at kick-off.
Pomigliano W
- 17M. Banušić
- 28Z. Ferrario
- 20L. VaitukaitytÄ
- 23G. Tudisco
- 9D. Salvatori Rinaldi
- 57A. Ejangue
- 8A. Luik
- 33M. Fusini
- 51V. Panzeri
- 73D. Cox
- 21S. Cetinja
Empoli W
- 7C. Prugna
- 9C. Dompig
- 11A. Bragonzi
- 25I. Nocchi
- 10N. Cinotti
- 18L. Silvioni
- 23M. Bellucci
- 4M. Brscic
- 12S. Mella
- 14A. De Rita
- 1A. Cappelletti
What is the recent form of both teams?
In their last match in all competitions, Pomigliano W have 0 wins, 0 draws and 1 defeat; Empoli W have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Juventus W(away) | 0-3 | Serie A Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Roma W(home) | 0-3 | Serie A Women |
| May 23, 2021 | Sassuolo W(home) | 1-6 | Serie A Women |
| May 15, 2021 | Fiorentina W(away) | 1-2 | Serie A Women |
| May 8, 2021 | Verona W(home) | 2-1 | Serie A Women |
| May 2, 2021 | Inter Milano W(away) | 3-3 | Serie A Women |
How many goals should we expect?
Pomigliano W score 0.0 and concede 3.0 goals per match in their last match; Empoli W score 1.7 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pomigliano W | 0.0 | 3.0 | 0 | 0/1 | 1/1 |
| Empoli W | 1.7 | 2.2 | 0 | 10/15 | 12/15 |
Over the last match in all competitions.
A question about Pomigliano W vs Empoli 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