Match

Spain W vs Japan W: result 1-0 and analysis

Friendlies WomenFriendlies 1Kick-off on November 15, 2022 at 07:00 PM (UTC)Industree Group Stadium, Gosford

Spain W
1-0
Japan W

Full time

What was the result of Spain W vs Japan W?

Spain W won 1-0 on November 15, 2022.

Goalscorers

  • 9′Alba RedondoSpain W

Official lineup for Spain W vs Japan W

The starting elevens fielded at kick-off.

Spain W

  1. 10Athenea del Castillo
  2. 11Alba Redondo
  3. 18Marta Cardona
  1. 3Teresa Abelleira
  2. 8Maite Oroz
  3. 21Claudia Zornoza
  1. 4Rocío Gálvez
  2. 5Ivana Andrés
  3. 7Olga Carmona
  4. 22Sheila García
  1. 1Misa

Japan W

  1. 13J. Endo
  2. 23A. Fujino
  1. 8H. Naomoto
  2. 11Minami Tanaka
  3. 14Y. Hasegawa
  4. 16H. Hayashi
  1. 2R. Shimizu
  2. 3M. Minami
  3. 4S. Kumagai
  4. 5S. Miyake
  1. 1A. Yamashita
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Spain W have 10 wins, 3 draws and 2 defeats; Japan W have 8, 3 and 4.

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

Spain W
DateOpponentScoreCompetition
Nov 11, 2022Argentina W(home)7-0Friendlies Women
Oct 11, 2022USA W(home)2-0Friendlies Women
Oct 7, 2022Sweden W(home)1-1Friendlies Women
Jul 20, 2022England W(away)1-2UEFA Championship - Women
Jul 16, 2022Denmark W(away)1-0UEFA Championship - Women
Japan W
DateOpponentScoreCompetition
Nov 11, 2022England W(away)0-4Friendlies Women
Oct 9, 2022New Zealand W(home)2-0Friendlies Women
Oct 6, 2022Nigeria W(home)2-0Friendlies Women
Jun 27, 2022Finland W(away)5-1Friendlies Women
Jun 24, 2022Serbia W(away)5-0Friendlies Women

How many goals should we expect?

Spain W score 2.5 and concede 0.5 goals per match over their last 15; Japan W score 2.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Spain W2.50.595/158/15
Japan W2.30.984/158/15

Over the last 15 matches in all competitions.

A question about Spain W vs Japan 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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