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A data-driven framing of player and team performance in U.S. Women's soccer
Sports Performance Women's International Football Institute Sports Performance Women's International Football Institute

A data-driven framing of player and team performance in U.S. Women's soccer

Because many of the issues hindering the progress of women's soccer are rooted in media and managerial practices that marginalize or ignore its positive traits, a need exists for analyses that will properly identify its innate characteristics and competitive advantages so that media members, managers, and fans can accurately frame their perceptions of women competing in the sport.

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Match Exposure, Consecutive Match Number, and Recovery Days Affect Match Running During International Women's Soccer Tournaments
Sports Performance Natalie Smith Sports Performance Natalie Smith

Match Exposure, Consecutive Match Number, and Recovery Days Affect Match Running During International Women's Soccer Tournaments

To determine the influence of tournament-specific factors (match exposure, consecutive matches, and days between matches) on match running in women's international soccer players (footballers), 28 players from 1 national team were observed over 4 international tournaments using 10 Hz global positioning system units.

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Tactics analysis and evaluation of women football team based on convolutional neural network
Sports Performance Natalie Smith Sports Performance Natalie Smith

Tactics analysis and evaluation of women football team based on convolutional neural network

In order to realize the process of player feature extraction and classification from multi-frequency frame-changing football match images more quickly, and complete the tactical plan that is more conducive to the game, this paper puts forward a method for analyzing and judging the tactics of women’s football team based on Convolutional Neural Network (CNN).

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